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Senior Salesforce Developer designs, builds, and maintains scalable Salesforce solutions including customizations, integrations, and AI-powered workflows for GTM and operations teams.
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the worldâs largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
Weâre looking for a Senior Salesforce Developer to help scale and evolve our Go-To-Market systems and business operations. In this role, youâll partner closely with Sales, Marketing, Customer Success, Finance, and Security teams to architect and deliver scalable Salesforce solutions that improve productivity, data quality, automation, and customer experience.
Design, develop, test, and deploy scalable Salesforce solutions across Sales Cloud, Service Cloud, and integrated third party systems.
Lead the architecture and implementation of Salesforce customizations including Apex, Lightning Web Components (LWC), Flows, integrations, and platform automation
Partner with stakeholders across GTM and Operations teams to gather requirements and translate business needs into technical solutions
Improve and maintain Salesforce data architecture, security model, sharing rules, profiles, permission sets, and governance standards
Build and support integrations between Salesforce and external platforms such as MuleSoft, NetSuite, CPQ, ERP, marketing automation, customer support, and data platforms
Drive platform optimization, technical debt reduction, and continuous improvement initiatives
Own the Salesforce DevOps and release management lifecycle while establishing engineering best practices, including Gearset administration, source control, testing frameworks, CI/CD pipelines, deployment governance, production change management, and technical documentation.
Participate in roadmap planning and provide technical leadership for strategic Salesforce initiatives
Manage Agentforce, Slackbot, AI skills, and other AI Salesforce offerings.
Troubleshoot complex production issues and implement scalable long-term solutions
5+ years of hands-on Salesforce development experience in enterprise environments
Deep expertise with Apex, Lightning Web Components (LWC), SOQL/SOSL, Salesforce APIs, Flow automation, and platform security
Experience designing and implementing integrations using MuleSoft
Familiarity with NetSuite and quote-to-cash business processes strongly preferred
Strong understanding of Salesforce DevOps and CI/CD practices
Experience working with Agile development methodologies
Strong analytical, communication, and problem-solving skills
Experience working in high-growth SaaS or technology companies preferred
Salesforce Platform Developer I or II certification
Experience with Salesforce CPQ and billing systems
Experience with RevOps or quote-to-cash processes
Familiarity with data warehousing, analytics, or AI-driven workflows
Experience supporting global sales organizations
Familiarize yourself with the Salesforce team, instance, code base, best practices, design principles, and deployment methodologies.
Engage with Product teams for deliverables to prioritize projects
Introduce yourself to the cross functional teams the Salesforce team
Dive Deep into the technology architecture to evaluate performance and refactor code
Engage with our Technical Architect and System Administrators on pain points to identify solutions
Continue to build on best practices to make our instance performant, secure, and scalable
Deliver to project requirements independently
Develop and grow your skill set and career as you become the subject matter expert in our Salesforce instance
Own the Salesforce ecosystem as it relates to third party tooling, integrations, dependencies, and other upstream/downstream systems.
Docker does not offer visa sponsorship for this role.
Perks
Freedom & flexibility; fit your work around your life
Designated quarterly Whaleness Days plus end of year Whaleness break
Home office setup; we want you comfortable while you work
16 weeks of paid Parental leave (after 6 months of employment)
Technology stipend equivalent to $100 USD net/month
PTO plan that encourages you to take time to do the things you enjoy
Training stipend for conferences, courses and classes
Equity; we are a growing start-up and want all employees to have a share in the success of the company
Docker Swag
Medical benefits, retirement and holidays vary by country
Remote-first culture, with offices in Seattle and Paris
Docker embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our company will be.
#LI-REMOTE
Staff ML Engineer designs, trains, and ships ML systems for governance and security capabilities while building infrastructure, data pipelines, and evaluation frameworks for Docker's Intelligence team.
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the worldâs largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
Dockerâs long-term vision is to become the runtime for trusted autonomy. As agents become more capable and autonomous, governance, policy, identity, and audit become foundational.
The Intelligence team builds intelligence-driven product capabilities that make software and agent execution on Docker safer, more effective, more trustworthy, and more efficient. Because Docker sits at the intersection of models, tools, software, identities, credentials, networks, and execution, we have visibility into behavior and context few other platforms can see, and we think that visibility is the foundation for a new layer of value across the platform.
Weâre hiring a Staff ML Engineer as one of the founding engineers on Intelligence Org. Youâll work directly with the teamâs first engineers and manager to figure out what to build, how to build it, and how it fits into the broader Docker platform. This is a hands-on builder role with staff-level scope: youâll shape technical direction, ship the first versions of intelligence capabilities into customer hands, and grow the foundations (data, evaluation, infrastructure) the team will rely on as it scales.
Design, train, evaluate, and ship ML systems that power governance and security capabilities, starting with problems like prompt injection detection, behavioral anomaly detection, trust scoring, and policy recommendations.
Build the supporting infrastructure: data pipelines, feature stores, model serving, evaluation harnesses, and the feedback loops that make iteration fast.
Make pragmatic build-vs-buy calls. Use frontier models, off-the-shelf tooling, and managed services to move quickly; invest in custom systems where they create durable advantage.
Set technical direction for the teamâs ML work. Own the architecture, evaluation methodology, model lifecycle, and the bar for shipping.
Help recruit, mentor, and shape the team as it grows.
This role may require participation in a 24â7 on-call rotation for the Agentic Platform; carry genuine pager responsibility for the services you build and operate
5+ years of deep applied ML/AI expertise with a track record of shipping production systems. Experience in fraud, abuse, safety, security, or trust domains, where adversarial dynamics, imbalanced data, and high-stakes decisions is valuable.
8+ yearsof professional, hands-on, full-time software engineering experience in backend, infrastructure, or platform engineering.
Bachelorâs degree in Computer Science, Engineering, or a related field, or equivalent practical experience
Youâve built and owned the systems around ML models, i.e. data pipelines, serving, evaluation, monitoring etc. and have shipped customer-facing products end to end.
You use modern AI tools fluently in your day-to-day work and have a sharp instinct for when frontier models can replace traditional ML, when they canât, and when to combine the two.
Experience with LLM-based systems in production - evaluation, prompt engineering, fine-tuning, retrieval, guardrails, agent frameworks.
Familiarity with the agent / MCP ecosystem.
Youâre energized by an early-stage effort where the roadmap is being written as the work happens, and you make crisp decisions with incomplete information.
Collaborative and low-ego. You work well across teams, write clearly, and bring others along.
Docker considers visa sponsorship on a case-by-case basis based on business needs.
Perks
Freedom & flexibility; fit your work around your life
Designated quarterly Whaleness Days plus end of year Whaleness break
Home office setup; we want you comfortable while you work
16 weeks of paid Parental leave (after 6 months of employment)
Technology stipend equivalent to $100 USD net/month
PTO plan that encourages you to take time to do the things you enjoy
Training stipend for conferences, courses and classes
Equity; we are a growing start-up and want all employees to have a share in the success of the company
Docker Swag
Medical benefits, retirement and holidays vary by country
Remote-first culture, with offices in Seattle and Paris
Docker embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our company will be.
#LI-REMOTE
Builds full-stack platform features across frontend, backend, APIs, and data pipelines for biometric health technology, working with Python/Go and JavaScript/TypeScript.
Build the full-stack platform behind biometric health technology used in real research, healthcare, workforce safety, and enterprise environments.
Location: Remote/distributed in the United States; Austin / San Antonio preferred
Company: Confidential biometric health technology company
Compensation: $90,000-$130,000 base salary, with additional flexibility for exceptional profiles
We are hiring a Junior / Mid-Level Full-Stack Platform Engineer for a fast-moving biometric health technology company building production systems around wearable physiological data, APIs, SDKs, and AI-forward infrastructure.
This is a hands-on builder role for someone early in their engineering career who already has real full-stack experience and strong fundamentals. You do not need to be a senior engineer. You do need to be sharp, practical, curious, and able to ship useful software with mentorship from experienced technical leaders.
The right person will help build backend services, frontend surfaces, APIs, SDKs, and data pipelines that support a broader biometric data platform. You will work in a lean startup environment where speed, ownership, clear communication, and good engineering judgment matter.
Recent grads can be a fit when they have unusually strong full-stack project, internship, startup, or open-source evidence. This is not a pure classroom-only role; the team needs someone who has already built and shipped real software in some form.
This is a full-time role with a distributed U.S. team. Austin / San Antonio is preferred, but the engineering team is already distributed, so location is helpful rather than mandatory.
The posted salary range is $90,000-$130,000 base salary, with additional flexibility for exceptional profiles. Final compensation depends on experience, skill level, technical assessment performance, and fit for the role.
Employment decisions are based on qualifications, experience, business needs, and role-related requirements. The company does not discriminate based on protected status. Urrly reviews applications against job-related factors such as skills, certifications, and experience.
Apply now and get a response within 24 hours.
Senior Software Engineer designs and operates full-stack healthcare systems, mentors engineers, and owns epic-level technical initiatives from design through production deployment.
Opportunity Overview:
This is a remote-first role that may require travel to Boston, MA for new hire onboarding and occasional in-person team meetings and company events.
We are seeking a Senior Software Engineer to join our Engineering team. In this role, you will build and operate mission-critical healthcare technology that powers prior authorization for health plans covering 15+ million members. Youâll work across the full stack â backend services, event-driven pipelines, and provider-facing web applications â to deliver systems that healthcare practitioners and clinical operations teams depend on daily. Youâll partner closely with product, design, clinical, and platform teams to ship high-quality software in a complex, multi-tenant healthcare environment. This is an opportunity to solve distributed systems problems where engineering quality directly impacts patient access to care.
What youâll do:
What youâll need:
Pay & Perks:
đ» Fully remote opportunity with about 5% travel
đ©ș Medical, dental, vision, life, disability insurance, and Employee Assistance Program
đ 401K retirement plan with company match; flexible spending and health savings account
đïž Flex Time Off + company holidays
đ¶ Up to 14 weeks of paid parental leave
đ¶ Pet insurance
The salary range for this position is $128,000 to $145,000 annually; as part of a total benefits package which includes health insurance, 401k and bonus. In accordance with state applicable laws, Cohere is required to provide a reasonable estimate of the compensation range for this role. Individual pay decisions are ultimately based on a number of factors, including but not limited to qualifications for the role, experience level, skillset, and internal alignment.
Interview Process*:
*Subject to change
About Cohere Health:
Cohere Healthâs clinical intelligence platform and agentic AI-powered solutions connect health plansâ strategic goals and providersâ needs, optimizing the speed, cost, and quality of care. With an enterprise approach that streamlines payer-provider decision-making across the care continuumâincluding policy, prior authorization, payment accuracy, and moreâthe company improves collaboration and reduces burden, resulting in up to 8x ROI and 94% provider satisfaction.
With the acquisition of ZignaAI, weâve further enhanced our platform by launching our Payment Integrity Suite, anchored by Cohere Validateâą, an AI-driven clinical and coding validation solution that operates in near real-time. By unifying pre-service authorization data with post-service claims validation, weâre creating a transparent healthcare ecosystem that reduces waste, improves payer-provider collaboration and patient outcomes, and ensures providers are paid promptly and accurately.
Cohere Healthâs innovations continue to receive industry wide recognition. Weâve been named to the 2025 Inc. 5000 list and in the GartnerÂź Hype Cycleâą for U.S. Healthcare Payers (2022-2025), and ranked as a Top 5 LinkedInâą Startup for 2023 & 2024. Backed by leading investors such as Deerfield Management, Define Ventures, Flare Capital Partners, Longitude Capital, and Polaris Partners.
The Coherenauts, as we call ourselves, who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.
We canât wait to learn more about you and meet you at Cohere Health!
Equal Opportunity Statement:
Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all. To us, itâs personal.
#LI-Remote
#BI-Remote
Leads an engineering team building and scaling a centralized observability platform with metrics, tracing, alerting, and AI/ML monitoring capabilities across the company.
For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and itâs what we show up for every day.
The Observability Platform team is seeking a Senior Manager of Engineering to build and lead a centralized platform capability that gives Smartsheet full-stack visibility into our most complex and consequential systems. This role owns the engineering strategy and execution for a dedicated platform consolidating multiple platforms, serving engineering teams across the company, including the Data & AI Platform, Commerce, and Infrastructure pillars.
You will lead a team based with strategic ownership spanning metrics, distributed tracing, alerting, log analytics, SLO/SLA management, and AI/ML observability integrations tied to SmartAssist and our agentic AI workstreams on Amazon Bedrock and MLflow. This is a high-leverage, high-visibility role at the intersection of platform reliability and AI-native engineering.
Current US Perks & Benefits:
Smartsheet provides a competitive base salary range for roles that may be hired in different geographic areas we are licensed to operate our business from. Actual compensation is determined by several factors including, but not limited to, level of professional, educational experience, skills, and specific candidate location. In addition, this role will be eligible for a market competitive incentive opportunity.
US Base Salary Pay Range
$205,000â$275,000 USD
Get to Know Us:
At Smartsheet, your ideas are heard, your potential is supported, and your contributions have real impact. Youâll have the freedom to explore, push boundaries, and grow beyond your role. We welcome diverse perspectives and nontraditional pathsâbecause we know that impact comes from individuals who care deeply and challenge thoughtfully. When youâre doing work that stretches you, excites you, and connects you to something bigger, thatâs magic at work. Letâs build whatâs next, together.
Equal Opportunity Employer:
Smartsheet is an Equal Opportunity (EEO) employer committed to fostering an inclusive environment with the best employees. It is our policy to provide equal employment opportunities to all qualified applicants in accordance with applicable laws in the US, UK, Australia, Germany, Costa Rica, Japan, Bulgaria, and India. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.
If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know.
#LI-Remote
Develops scalable applications for geospatial data and civic engagement tools on a remote-first engineering team.
Civitech is a public benefit corporation dedicated to creating a fairer and more equitable democracy by building the tools and infrastructure needed to increase civic participation, empower Democratic candidates to win, and support the success of progressive causes. Since our founding in 2019, over 500 partnersâa range of nonprofit organizations, national political committees, and individual campaignsâhave utilized Civitechâs tools to reach tens of millions of voters to help create a more equitable and progressive democracy.
Civitech is a remote-first company hiring within our current footprint of 27 states (AL, AK, CA, CO, DC, DE, FL, GA, HI, IL, MA, MD, MN, NC, ND, NH, NJ, NV, NY, OH, SD, TN, TX, VA, WA, WI, WY). We maintain a physical co-working and collaboration headquarters in Austin, TX.
It is important that our team reflects the diversity of the organizations we seek to serve. We strongly encourage women, people of color, LGBTQIA+ people, and others otherwise underrepresented in the technology sector to apply.
We act with Integrity â At Civitech, we hold ourselves to the highest standards and value open and transparent communications with all of our stakeholders. Our rigorous approach to product design, testing, and data science leads to accurate assessments of our outcomes and challenges us to constantly improve our tools.
We are Changemakers â As a team, Civitech seeks to make transformational change in our democracy by eliminating obstacles meant to hamper contribution from every member of the community.
We are Collaborators â Buoyed by our mission, we look for opportunities to partner with everyone committed to making democracy easier to participate in. We seek to understand the challenges our partners face and use our skills and creativity to help them solve them.
We are Bold â We recognize that disruptive change wonât come with doing business as usual. Civitech seeks to revolutionize civic participation by bringing innovation and creativity to politics.
The Engineering team builds scalable, secure, and user-friendly applications that empower progressive organizations, drive civic engagement, and promote democratic participation. We work closely with product and data teams to deliver impactful solutions.
The Software Engineer, Geospatial Data position sits on our team responsible for civic and geospatial data and reports to that teamâs Engineering Manager. This team focuses on:
Tools used by our research team to collect and maintain civic and constituent data, including geographic and boundary data.
Our GraphQL API product, used both internally and externally.
Data export products that provide civic data to customers.
Data engineering for our Voter Registration Mail product.
Our work spans backend-heavy data products and internal UI tools where reliability is critical. A core challenge lies in evolving our API and data export offerings, thoughtfully advancing functionality and the developer experience while maintaining stability across existing contracts.
Participate with other engineers in the design, implementation, and maintenance of Civitechâs applications and infrastructure.
Collaborate cross-functionally with product, research, and data science teams to develop features from participation in requirements definition through to testing and documentation.
Build scalable, secure, and high-performing features in a cloud environment.
Communicate effectively with team members and contribute to an open and inclusive engineering culture.
Grow your technical skills and contribute to effective team development practices.
If you were here today, youâd be:
Optimizing data availability: Developing new features to automatically make election research data available in our customer-facing tools, reducing latency to our end users.
Building data pipelines: Developing and maintaining pipelines that ingest, normalize, and serve civic data so itâs reliably available to our tools and customers - including geospatial data like shapefiles and political boundary files.
Bridging data silos: Designing strategies to effectively and broadly share data between operational PostgreSQL databases and BigQuery data warehouses to enrich existing datasets.
Working with political geography: Reconciling census shapes against political shapes (precincts, council districts, legislative districts) and keeping that data current as new maps move through legislatures and the courts.
Improving data quality: Diagnosing and fixing bad data - from malformed geometries to inconsistent identifiers - so downstream tools and customers get reliable results.
You have 3â5 years of software engineering experience.
You thrive in a fast-paced startup environment, enjoy building software for the public good, and are passionate about democracy, civics, and politics.
You are strong in Python, especially for data pipelines, scripting, and automation.
Youâre comfortable working across the stack and picking up other languages and frameworks as needed - our applications are built largely in Ruby on Rails and JavaScript/TypeScript.
You have experience working with cloud environments, particularly Google Cloud Platform or AWS; experience with Azure is also valuable.
You are skilled in facilitating collaboration between engineers and with partner teams.
You are experienced with identifying issues and helping to develop solutions, including diagnosing and fixing data quality problems.
You are used to being actively engaged in planning the teamâs work via backlog refinement, helping to write user stories, etc.
You are practiced with written and verbal communication that helps make complex code accessible.
You prioritize writing maintainable and well-documented code.
You demonstrate the ability to effectively give and receive constructive feedback, especially with other engineers.
Additional qualifications (need some but not all): Our current work benefits from the below. Please keep in mind that you do not need to bring expertise in all of these to be the right candidate for this role.
Specialty: Geospatial & Political Data
This role has a particular focus on geospatial and political data, so experience in any of the following is a strong plus:
Hands-on experience with geospatial data - shapefiles, GeoJSON, projections/coordinate systems, and spatial joins.
Experience with geospatial libraries and tooling (PostGIS, GeoPandas, Shapely, GDAL/OGR, Fiona, etc.).
Familiarity with political geography: precincts, city council and county districts, and state/federal legislative districts.
Understanding of how census geographies differ from political boundaries, and the challenges of mapping between them.
Awareness of the current redistricting landscape and how court-ordered and legislative map changes affect downstream data.
Domain Knowledge
Engineering Expertise
Proficiency in Python for scripting, automation, or data-related tasks.
Proficiency in JavaScript/TypeScript (used within and without Rails).
Knowledge of building and maintaining Ruby on Rails applications, including performing upgrades, using GraphQL-Ruby, Turbo/Stimulus, Rspec, etc.
Understanding of API design, development, and usage, especially GraphQL APIs.
Experience contributing to automated test suites and ensuring robust coverage.
Systems and Data
Expertise in PostgreSQL (with PostGIS for geospatial data).
Experience working with cloud data warehouses, particularly BigQuery.
Knowledge of building scalable data pipelines with dbt.
Knowledge of scaling and high-availability techniques.
Infrastructure
Experience maintaining infrastructure hosted on AWS or GCP.
Experience with continuous integration and deployment (CI/CD) tools, especially GitLab CI and/or GitHub Actions.
Familiarity with Terraform for Infrastructure-as-Code.
Medical, Vision, & Dental Insurance
401(k) plan
Employee Stock Options
Employer-paid Life Insurance
Short/Long Term Disability Insurance
Flexible Time Off & Paid Company Holidays
Flexible Spending Account
Parental Leave
Flexible Schedules
Professional Development Stipend
Monthly Office Upkeep Stipend
$90,000 - $120,000 a year
Status: Full-time
Civitech is unable to provide visa sponsorship at this time; all applicants must possess independent US work authorization.
Civitech utilizes E-Verify to verify eligibility to work in the United States. This verification step occurs strictly after a formal offer has been extended and accepted, following the completion of Form I-9. Please find more information about our participation in this program here.
Civitech provides equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or protected veteran status, in strict accordance with federal, state, and local compliance standards.
No recruiters or external staffing agencies, please.
Designs and builds fault-tolerant distributed systems infrastructure for AI and exascale computing environments, focusing on systems programming, reliability, and performance optimization in Rust.
ThisWay Global is looking for a Distributed Systems Engineer in a remote role within the United States.
ThisWay Global, Inc. is an AI-first technology company headquartered in Texas, operating at the intersection of artificial intelligence, data center infrastructure, and workforce solutions.
The company operates across three primary business areas:
This role focuses on building foundational distributed systems and operational infrastructure that support AI and exascale computing environments. The work emphasizes systems programming, distributed architecture, fault tolerance, and HPC-grade reliability.
Location:Â Remote â United States
Department:Â Engineering
Employment Type:Â Full-Time, Exempt
Design and build distributed systems that tolerate latency, bandwidth constraints, and intermittent connectivity.
Implement fault-tolerant communication strategies, retry logic, backpressure, caching, and eventual consistency patterns.
Write maintainable, resilient, and tested code following development standards and methodologies.
Debug and improve system behavior, including networking and distributed coordination issues.
Contribute to systems written primarily in Rust.
Work with system-level concerns including scheduling, memory management, I/O optimization, storage hierarchy management, and system reliability.
Optimize performance and memory usage in resource-constrained environments.
Debug concurrency issues and distributed coordination challenges.
Design and maintain APIs and communication layers between distributed components.
Identify and reduce tight coupling across services and systems.
Diagnose and resolve cross-system failures in production environments.
Design and implement secure, reliable solutions aligned with engineering standards.
Collaborate with engineers and computer scientists on operating systems internals, compiler internals, fault tolerance, file system architecture, and trusted systems.
Contribute to resolving architectural and systemic issues.
Continue developing expertise in distributed systems, HPC infrastructure, and related tooling.
Experience building distributed systems in environments with low bandwidth, high latency, or unreliable communication links.
Production experience developing systems in Rust or Go.
Understanding of distributed systems failure modes and mitigation strategies.
Knowledge of consistency models, coordination strategies, and state replication.
Experience designing APIs and communication layers between distributed components.
Experience working within established architectures and delivering production-quality components.
Understanding of systems-level concepts including durability, reliability, and operational behavior.
Ability to work independently while collaborating with technical leadership.
Experience with HPC environments, exascale computing, or AI/ML infrastructure.
Exposure to operating systems internals, compiler design, or language runtimes.
Experience with edge computing or constrained network environments.
Familiarity with message queues, event-driven systems, or streaming architectures.
Exposure to consensus algorithms or distributed coordination primitives.
Experience with concurrency, memory management, or performance optimization in production systems.
Experience contributing to developer tooling, internal platforms, or infrastructure-layer components.
Remote work within the United States.
Opportunity to work on distributed systems supporting AI and exascale workloads.
Collaboration with engineers experienced in operating systems internals, compiler internals, fault tolerance, file system architecture, and trusted systems.
Exposure to AI infrastructure, HPC, and large-scale distributed computing environments.
Builds and ships fullstack features for AI-first music production products, owning features end-to-end from prototype through production using agentic engineering tools.
WHO WE ARE:
Splice is a creative platform for people who make music. Serious producers choose Splice Sounds to bring their ideas to life. A subscription to Splice inspires and accelerates creative success for digital music creators with an industry-leading catalog of sounds and samples and an expanding AI stack. With a rent-to-own marketplace of DAWs and plugins, the Splice experience seamlessly integrates into any music production workflow, regardless of DAW (Digital Audio Workstation). Via Splice, an unparalleled team of sound designers and sample creators are fueling the success of a growing global community of chart-topping producers, students, and DIY creators.
HOW WE WORK:
At Splice, DISCO is a rallying cry for collaboration, accountability, and unity within our organization; Direct, Inclusive, Splice Together, Creator Centric, and Optimistic. Our shared success depends on our ability to support one another, work well together, and communicate directly. By embracing flexibility and a unified approach, we can navigate anything thatâs thrown at us.
Splice embraces a culture of remote work. Youâll see your colleagues showing up from across the US and the UK. In order to keep us working well as a team, we have regular communication, including Town Halls, departmental all-hands and get-togethers.
When you join Splice, you join a network of colleagues, peers, and collaborators. Are you ready?
JOB TITLE: Product Engineer III LOCATION: Remote - US
THE ROLE: Weâre looking for a Fullstack Product Engineer to join a small, fast-moving team building the next generation of AI-first music creation experiences. This is a fullstack, AI-native role where youâll own features end to end, from prototype through production, monitoring, and iteration. Youâll work alongside engineers, PMs, and designers in a high-trust, high-autonomy environment, shipping work that real producers and music-makers rely on. Our team practices agentic engineering end-to-end, and we expect engineers to be fluent with tools like Claude Code, Cursor, and Codex to build production-grade features without sacrificing code quality or reliability.
WHAT YOUâLL DO:
JOB REQUIREMENTS:
NICE TO HAVES:
SPLICE BENEFITS:
The national pay range for this role is $130,480 - $163,100. Individual compensation will be commensurate with the candidateâs experience.
Splice is an Equal Opportunity Employer Splice provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Builds and operates data infrastructure platforms, managing deployment systems like Airflow and Kubernetes, and core storage technologies like DynamoDB and RDS.
Youâd be joining the Data Infra team â a small, high-leverage team within Chimeâs Infrastructure Engineering org. We build and operate the foundational platform that Data Engineering relies on to run their workflows reliably at scale: from deploying Airflow and Flink environments to owning the DynamoDB and RDS infrastructure that powers Chimeâs data platform. This is a generalist role where youâll touch both pillars â the data engineering deployment layer and the storage layer â so youâll never be bored. If you get energy from building durable foundations that other engineers build on top of, this team is for you.
The base salary offered for this role and level of experience will begin at $133,000.00 and up to $184,000.00. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.
#LI-AC2 #LI-Remote
At Chime, we believe that everyone can achieve financial progress. We created Chimeâa financial technology company, not a bank*âon the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether itâs starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, weâre proud to have helped millions unlock their financial potential.
Weâre a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an ownerâs mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members.
We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress.
We know that to achieve our mission, we must earn and keep peopleâs trustâso we hold ourselves to the highest standards of integrity in everything we do. These arenât just words on a wallâour values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential.
Because if we donâtâwho will?
*Chime is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC.
We know that great work canât be done without a diverse team and inclusive environment. Thatâs why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals.
Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact: benefits@chime.com.
To learn more about how Chime collects and uses your personal information during the application process, please see the Chime Applicant Privacy Notice.
Staff ML Engineer designing, training, and shipping ML systems for governance and security capabilities while building supporting infrastructure and setting technical direction for the Intelligence team.
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the worldâs largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
Dockerâs long-term vision is to become the runtime for trusted autonomy. As agents become more capable and autonomous, governance, policy, identity, and audit become foundational.
The Intelligence team builds intelligence-driven product capabilities that make software and agent execution on Docker safer, more effective, more trustworthy, and more efficient. Because Docker sits at the intersection of models, tools, software, identities, credentials, networks, and execution, we have visibility into behavior and context few other platforms can see, and we think that visibility is the foundation for a new layer of value across the platform.
Weâre hiring a Staff ML Engineer as one of the founding engineers on Intelligence Org. Youâll work directly with the teamâs first engineers and manager to figure out what to build, how to build it, and how it fits into the broader Docker platform. This is a hands-on builder role with staff-level scope: youâll shape technical direction, ship the first versions of intelligence capabilities into customer hands, and grow the foundations (data, evaluation, infrastructure) the team will rely on as it scales.
Design, train, evaluate, and ship ML systems that power governance and security capabilities, starting with problems like prompt injection detection, behavioral anomaly detection, trust scoring, and policy recommendations.
Build the supporting infrastructure: data pipelines, feature stores, model serving, evaluation harnesses, and the feedback loops that make iteration fast.
Make pragmatic build-vs-buy calls. Use frontier models, off-the-shelf tooling, and managed services to move quickly; invest in custom systems where they create durable advantage.
Set technical direction for the teamâs ML work. Own the architecture, evaluation methodology, model lifecycle, and the bar for shipping.
Help recruit, mentor, and shape the team as it grows.
This role may require participation in a 24â7 on-call rotation for the Agentic Platform; carry genuine pager responsibility for the services you build and operate
5+ years of deep applied ML/AI expertise with a track record of shipping production systems. Experience in fraud, abuse, safety, security, or trust domains, where adversarial dynamics, imbalanced data, and high-stakes decisions is valuable.
8+ yearsof professional, hands-on, full-time software engineering experience in backend, infrastructure, or platform engineering.
Bachelorâs degree in Computer Science, Engineering, or a related field, or equivalent practical experience
Youâve built and owned the systems around ML models, i.e. data pipelines, serving, evaluation, monitoring etc. and have shipped customer-facing products end to end.
You use modern AI tools fluently in your day-to-day work and have a sharp instinct for when frontier models can replace traditional ML, when they canât, and when to combine the two.
Experience with LLM-based systems in production - evaluation, prompt engineering, fine-tuning, retrieval, guardrails, agent frameworks.
Familiarity with the agent / MCP ecosystem.
Youâre energized by an early-stage effort where the roadmap is being written as the work happens, and you make crisp decisions with incomplete information.
Collaborative and low-ego. You work well across teams, write clearly, and bring others along.
Docker considers visa sponsorship on a case-by-case basis based on business needs.
Perks
Freedom & flexibility; fit your work around your life
Designated quarterly Whaleness Days plus end of year Whaleness break
Home office setup; we want you comfortable while you work
16 weeks of paid Parental leave (after 6 months of employment)
Technology stipend equivalent to $100 USD net/month
PTO plan that encourages you to take time to do the things you enjoy
Training stipend for conferences, courses and classes
Equity; we are a growing start-up and want all employees to have a share in the success of the company
Docker Swag
Medical benefits, retirement and holidays vary by country
Remote-first culture, with offices in Seattle and Paris
Docker embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our company will be.
#LI-REMOTE
Builds full-stack platform features (backend services, APIs, SDKs, data pipelines) for a biometric health technology company using Python/Go and JavaScript/TypeScript.
Build the full-stack platform behind biometric health technology used in real research, healthcare, workforce safety, and enterprise environments.
Location: Remote/distributed in the United States; Austin / San Antonio preferred
Company: Confidential biometric health technology company
Compensation: $90,000-$130,000 base salary, with additional flexibility for exceptional profiles
We are hiring a Junior / Mid-Level Full-Stack Platform Engineer for a fast-moving biometric health technology company building production systems around wearable physiological data, APIs, SDKs, and AI-forward infrastructure.
This is a hands-on builder role for someone early in their engineering career who already has real full-stack experience and strong fundamentals. You do not need to be a senior engineer. You do need to be sharp, practical, curious, and able to ship useful software with mentorship from experienced technical leaders.
The right person will help build backend services, frontend surfaces, APIs, SDKs, and data pipelines that support a broader biometric data platform. You will work in a lean startup environment where speed, ownership, clear communication, and good engineering judgment matter.
Recent grads can be a fit when they have unusually strong full-stack project, internship, startup, or open-source evidence. This is not a pure classroom-only role; the team needs someone who has already built and shipped real software in some form.
This is a full-time role with a distributed U.S. team. Austin / San Antonio is preferred, but the engineering team is already distributed, so location is helpful rather than mandatory.
The posted salary range is $90,000-$130,000 base salary, with additional flexibility for exceptional profiles. Final compensation depends on experience, skill level, technical assessment performance, and fit for the role.
Employment decisions are based on qualifications, experience, business needs, and role-related requirements. The company does not discriminate based on protected status. Urrly reviews applications against job-related factors such as skills, certifications, and experience.
Apply now and get a response within 24 hours.
Senior Salesforce Developer designs, develops, and deploys scalable Salesforce solutions including customizations, integrations, and AI features across GTM and operations systems.
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the worldâs largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
Weâre looking for a Senior Salesforce Developer to help scale and evolve our Go-To-Market systems and business operations. In this role, youâll partner closely with Sales, Marketing, Customer Success, Finance, and Security teams to architect and deliver scalable Salesforce solutions that improve productivity, data quality, automation, and customer experience.
Design, develop, test, and deploy scalable Salesforce solutions across Sales Cloud, Service Cloud, and integrated third party systems.
Lead the architecture and implementation of Salesforce customizations including Apex, Lightning Web Components (LWC), Flows, integrations, and platform automation
Partner with stakeholders across GTM and Operations teams to gather requirements and translate business needs into technical solutions
Improve and maintain Salesforce data architecture, security model, sharing rules, profiles, permission sets, and governance standards
Build and support integrations between Salesforce and external platforms such as MuleSoft, NetSuite, CPQ, ERP, marketing automation, customer support, and data platforms
Drive platform optimization, technical debt reduction, and continuous improvement initiatives
Own the Salesforce DevOps and release management lifecycle while establishing engineering best practices, including Gearset administration, source control, testing frameworks, CI/CD pipelines, deployment governance, production change management, and technical documentation.
Participate in roadmap planning and provide technical leadership for strategic Salesforce initiatives
Manage Agentforce, Slackbot, AI skills, and other AI Salesforce offerings.
Troubleshoot complex production issues and implement scalable long-term solutions
5+ years of hands-on Salesforce development experience in enterprise environments
Deep expertise with Apex, Lightning Web Components (LWC), SOQL/SOSL, Salesforce APIs, Flow automation, and platform security
Experience designing and implementing integrations using MuleSoft
Familiarity with NetSuite and quote-to-cash business processes strongly preferred
Strong understanding of Salesforce DevOps and CI/CD practices
Experience working with Agile development methodologies
Strong analytical, communication, and problem-solving skills
Experience working in high-growth SaaS or technology companies preferred
Salesforce Platform Developer I or II certification
Experience with Salesforce CPQ and billing systems
Experience with RevOps or quote-to-cash processes
Familiarity with data warehousing, analytics, or AI-driven workflows
Experience supporting global sales organizations
Familiarize yourself with the Salesforce team, instance, code base, best practices, design principles, and deployment methodologies.
Engage with Product teams for deliverables to prioritize projects
Introduce yourself to the cross functional teams the Salesforce team
Dive Deep into the technology architecture to evaluate performance and refactor code
Engage with our Technical Architect and System Administrators on pain points to identify solutions
Continue to build on best practices to make our instance performant, secure, and scalable
Deliver to project requirements independently
Develop and grow your skill set and career as you become the subject matter expert in our Salesforce instance
Own the Salesforce ecosystem as it relates to third party tooling, integrations, dependencies, and other upstream/downstream systems.
Docker does not offer visa sponsorship for this role.
Perks
Freedom & flexibility; fit your work around your life
Designated quarterly Whaleness Days plus end of year Whaleness break
Home office setup; we want you comfortable while you work
16 weeks of paid Parental leave (after 6 months of employment)
Technology stipend equivalent to $100 USD net/month
PTO plan that encourages you to take time to do the things you enjoy
Training stipend for conferences, courses and classes
Equity; we are a growing start-up and want all employees to have a share in the success of the company
Docker Swag
Medical benefits, retirement and holidays vary by country
Remote-first culture, with offices in Seattle and Paris
Docker embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our company will be.
#LI-REMOTE
Staff-level ML engineer designs, trains, and deploys machine learning systems for security and governance capabilities on Docker's platform, including infrastructure and evaluation frameworks.
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the worldâs largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
Dockerâs long-term vision is to become the runtime for trusted autonomy. As agents become more capable and autonomous, governance, policy, identity, and audit become foundational.
The Intelligence team builds intelligence-driven product capabilities that make software and agent execution on Docker safer, more effective, more trustworthy, and more efficient. Because Docker sits at the intersection of models, tools, software, identities, credentials, networks, and execution, we have visibility into behavior and context few other platforms can see, and we think that visibility is the foundation for a new layer of value across the platform.
Weâre hiring a Staff ML Engineer as one of the founding engineers on Intelligence Org. Youâll work directly with the teamâs first engineers and manager to figure out what to build, how to build it, and how it fits into the broader Docker platform. This is a hands-on builder role with staff-level scope: youâll shape technical direction, ship the first versions of intelligence capabilities into customer hands, and grow the foundations (data, evaluation, infrastructure) the team will rely on as it scales.
Design, train, evaluate, and ship ML systems that power governance and security capabilities, starting with problems like prompt injection detection, behavioral anomaly detection, trust scoring, and policy recommendations.
Build the supporting infrastructure: data pipelines, feature stores, model serving, evaluation harnesses, and the feedback loops that make iteration fast.
Make pragmatic build-vs-buy calls. Use frontier models, off-the-shelf tooling, and managed services to move quickly; invest in custom systems where they create durable advantage.
Set technical direction for the teamâs ML work. Own the architecture, evaluation methodology, model lifecycle, and the bar for shipping.
Help recruit, mentor, and shape the team as it grows.
This role may require participation in a 24â7 on-call rotation for the Agentic Platform; carry genuine pager responsibility for the services you build and operate
5+ years of deep applied ML/AI expertise with a track record of shipping production systems. Experience in fraud, abuse, safety, security, or trust domains, where adversarial dynamics, imbalanced data, and high-stakes decisions is valuable.
8+ yearsof professional, hands-on, full-time software engineering experience in backend, infrastructure, or platform engineering.
Bachelorâs degree in Computer Science, Engineering, or a related field, or equivalent practical experience
Youâve built and owned the systems around ML models, i.e. data pipelines, serving, evaluation, monitoring etc. and have shipped customer-facing products end to end.
You use modern AI tools fluently in your day-to-day work and have a sharp instinct for when frontier models can replace traditional ML, when they canât, and when to combine the two.
Experience with LLM-based systems in production - evaluation, prompt engineering, fine-tuning, retrieval, guardrails, agent frameworks.
Familiarity with the agent / MCP ecosystem.
Youâre energized by an early-stage effort where the roadmap is being written as the work happens, and you make crisp decisions with incomplete information.
Collaborative and low-ego. You work well across teams, write clearly, and bring others along.
Docker considers visa sponsorship on a case-by-case basis based on business needs.
Perks
Freedom & flexibility; fit your work around your life
Designated quarterly Whaleness Days plus end of year Whaleness break
Home office setup; we want you comfortable while you work
16 weeks of paid Parental leave (after 6 months of employment)
Technology stipend equivalent to $100 USD net/month
PTO plan that encourages you to take time to do the things you enjoy
Training stipend for conferences, courses and classes
Equity; we are a growing start-up and want all employees to have a share in the success of the company
Docker Swag
Medical benefits, retirement and holidays vary by country
Remote-first culture, with offices in Seattle and Paris
Docker embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our company will be.
#LI-REMOTE
Full-stack platform engineer builds backend services, frontend surfaces, APIs, SDKs, and data pipelines for a biometric health technology company.
Build the full-stack platform behind biometric health technology used in real research, healthcare, workforce safety, and enterprise environments.
Location: Remote/distributed in the United States; Austin / San Antonio preferred
Company: Confidential biometric health technology company
Compensation: $90,000-$130,000 base salary, with additional flexibility for exceptional profiles
We are hiring a Junior / Mid-Level Full-Stack Platform Engineer for a fast-moving biometric health technology company building production systems around wearable physiological data, APIs, SDKs, and AI-forward infrastructure.
This is a hands-on builder role for someone early in their engineering career who already has real full-stack experience and strong fundamentals. You do not need to be a senior engineer. You do need to be sharp, practical, curious, and able to ship useful software with mentorship from experienced technical leaders.
The right person will help build backend services, frontend surfaces, APIs, SDKs, and data pipelines that support a broader biometric data platform. You will work in a lean startup environment where speed, ownership, clear communication, and good engineering judgment matter.
Recent grads can be a fit when they have unusually strong full-stack project, internship, startup, or open-source evidence. This is not a pure classroom-only role; the team needs someone who has already built and shipped real software in some form.
This is a full-time role with a distributed U.S. team. Austin / San Antonio is preferred, but the engineering team is already distributed, so location is helpful rather than mandatory.
The posted salary range is $90,000-$130,000 base salary, with additional flexibility for exceptional profiles. Final compensation depends on experience, skill level, technical assessment performance, and fit for the role.
Employment decisions are based on qualifications, experience, business needs, and role-related requirements. The company does not discriminate based on protected status. Urrly reviews applications against job-related factors such as skills, certifications, and experience.
Apply now and get a response within 24 hours.
Senior Software Engineer builds and operates full-stack healthcare technology systems, mentors engineers, and leads technical design for mission-critical prior authorization services.
Opportunity Overview:
This is a remote-first role that may require travel to Boston, MA for new hire onboarding and occasional in-person team meetings and company events.
We are seeking a Senior Software Engineer to join our Engineering team. In this role, you will build and operate mission-critical healthcare technology that powers prior authorization for health plans covering 15+ million members. Youâll work across the full stack â backend services, event-driven pipelines, and provider-facing web applications â to deliver systems that healthcare practitioners and clinical operations teams depend on daily. Youâll partner closely with product, design, clinical, and platform teams to ship high-quality software in a complex, multi-tenant healthcare environment. This is an opportunity to solve distributed systems problems where engineering quality directly impacts patient access to care.
What youâll do:
What youâll need:
Pay & Perks:
đ» Fully remote opportunity with about 5% travel
đ©ș Medical, dental, vision, life, disability insurance, and Employee Assistance Program
đ 401K retirement plan with company match; flexible spending and health savings account
đïž Flex Time Off + company holidays
đ¶ Up to 14 weeks of paid parental leave
đ¶ Pet insurance
The salary range for this position is $128,000 to $145,000 annually; as part of a total benefits package which includes health insurance, 401k and bonus. In accordance with state applicable laws, Cohere is required to provide a reasonable estimate of the compensation range for this role. Individual pay decisions are ultimately based on a number of factors, including but not limited to qualifications for the role, experience level, skillset, and internal alignment.
Interview Process*:
*Subject to change
About Cohere Health:
Cohere Healthâs clinical intelligence platform and agentic AI-powered solutions connect health plansâ strategic goals and providersâ needs, optimizing the speed, cost, and quality of care. With an enterprise approach that streamlines payer-provider decision-making across the care continuumâincluding policy, prior authorization, payment accuracy, and moreâthe company improves collaboration and reduces burden, resulting in up to 8x ROI and 94% provider satisfaction.
With the acquisition of ZignaAI, weâve further enhanced our platform by launching our Payment Integrity Suite, anchored by Cohere Validateâą, an AI-driven clinical and coding validation solution that operates in near real-time. By unifying pre-service authorization data with post-service claims validation, weâre creating a transparent healthcare ecosystem that reduces waste, improves payer-provider collaboration and patient outcomes, and ensures providers are paid promptly and accurately.
Cohere Healthâs innovations continue to receive industry wide recognition. Weâve been named to the 2025 Inc. 5000 list and in the GartnerÂź Hype Cycleâą for U.S. Healthcare Payers (2022-2025), and ranked as a Top 5 LinkedInâą Startup for 2023 & 2024. Backed by leading investors such as Deerfield Management, Define Ventures, Flare Capital Partners, Longitude Capital, and Polaris Partners.
The Coherenauts, as we call ourselves, who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.
We canât wait to learn more about you and meet you at Cohere Health!
Equal Opportunity Statement:
Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all. To us, itâs personal.
#LI-Remote
#BI-Remote
Leads a distributed engineering team building and scaling a centralized observability platform serving all engineering teams, owning metrics, tracing, alerting, and AI/ML observability infrastructure.
For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and itâs what we show up for every day.
The Observability Platform team is seeking a Senior Manager of Engineering to build and lead a centralized platform capability that gives Smartsheet full-stack visibility into our most complex and consequential systems. This role owns the engineering strategy and execution for a dedicated platform consolidating multiple platforms, serving engineering teams across the company, including the Data & AI Platform, Commerce, and Infrastructure pillars.
You will lead a team based with strategic ownership spanning metrics, distributed tracing, alerting, log analytics, SLO/SLA management, and AI/ML observability integrations tied to SmartAssist and our agentic AI workstreams on Amazon Bedrock and MLflow. This is a high-leverage, high-visibility role at the intersection of platform reliability and AI-native engineering.
Current US Perks & Benefits:
Smartsheet provides a competitive base salary range for roles that may be hired in different geographic areas we are licensed to operate our business from. Actual compensation is determined by several factors including, but not limited to, level of professional, educational experience, skills, and specific candidate location. In addition, this role will be eligible for a market competitive incentive opportunity.
US Base Salary Pay Range
$205,000â$275,000 USD
Get to Know Us:
At Smartsheet, your ideas are heard, your potential is supported, and your contributions have real impact. Youâll have the freedom to explore, push boundaries, and grow beyond your role. We welcome diverse perspectives and nontraditional pathsâbecause we know that impact comes from individuals who care deeply and challenge thoughtfully. When youâre doing work that stretches you, excites you, and connects you to something bigger, thatâs magic at work. Letâs build whatâs next, together.
Equal Opportunity Employer:
Smartsheet is an Equal Opportunity (EEO) employer committed to fostering an inclusive environment with the best employees. It is our policy to provide equal employment opportunities to all qualified applicants in accordance with applicable laws in the US, UK, Australia, Germany, Costa Rica, Japan, Bulgaria, and India. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.
If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know.
#LI-Remote
Develops full-stack applications across frontend and backend systems for a global data and software services platform serving the vehicle lifecycle industry.
Senior QA engineer ensures e-commerce software quality through automated and manual testing, test case design, and defect identification.
Staff software engineer designs and builds cloud-native APIs, services, and AI-powered frontend experiences for a real estate platform at scale.
Headquarters: United States
URL: http://luxurypresence.com
As a Staff Software Engineer, you will be a key contributor on a cross-functional team, building the foundation of our AI-first platform. Youâll take ownership of major features and services, drive meaningful improvements to our architecture, and collaborate closely with product, design, and AI teams to deliver high-impact outcomes for our customers.
Contribute to key architectural decisions and support a large scale re-imagining of our Site Generation and Site Builder Experience
Design and build cloud-native APIs, services, and front-end experiences used across our platform to support building Websites
Collaborate with cross-functional teams to deliver AI-powered workflows to Site Building experiences
Write clean, testable, scalable code across the stack
Passion for building in an AI-augmented environment
Familiarity with modern AI tools; experience developing AI-driven solutions is a plus (Claude Code is a must)
5+ years of professional experience in full-stack engineering (leaning backend), ideally having supported a product from MVP to scale in rapid iterations
Strong skills in JavaScript/TypeScript, Node.js, and React
Experience with scalable microservice architecture (AWS preferred)
Solid command of GraphQL, event-driven systems (Kafka/SQS), and distributed databases
Track record of delivering high-quality features in rapid prototyping environments and integrating with feedback quickly
While you will have Product and Design partners, we value strong communicators and collaborators; able to work with limited product and design guidance, and operate independently in chasing well defined outcomes
Customer-first mindset with the ability to empathize with internal and external stakeholder needs
Frontend: React, Tailwind, Apollo, SingleSPA
Backend: Node.js, TypeScript (microservices), Python ETLs
AI: LangChain, LangFuse, OpenRouter, Mastra, Claude Code
Data: PostgreSQL, DynamoDB, Elasticsearch
Infrastructure: AWS, Kubernetes, Lambda
Messaging: Kafka, SQS
Senior Full Stack Engineer designs and builds complex backend services, APIs, and cross-platform desktop applications while mentoring junior engineers and maintaining secure, scalable systems.
About Agile Defense
At Agile Defense we know that action defines the outcome and new challenges require new solutions. Thatâs why we always look to the future and embrace change with an unmovable spirit and the courage to build for what comes next.
Our vision is to bring adaptive innovation to support our nationâs most important missions through the seamless integration of advanced technologies, elite minds, and unparalleled agilityâleveraging a foundation of speed, flexibility, and ingenuity to strengthen and protect our nationâs vital interests.
Requisition #: 1658
Job Title: Senior Full Stack Engineer
Location: Remote
Clearance Level: Secret, Must Have Clearance to Start
Role Overview
The Senior Full Stack Engineer is responsible for designing, building, and maintaining complex software systems that span backend services, data processing, and user-facing thick client applications. This role requires strong expertise in desktop application development, service architecture, and structured data processing within secure and performance-sensitive environments.
The position bridges system architecture and hands-on implementation, ensuring that desktop and service components are scalable, reliable, maintainable, and aligned with modern engineering practices.
Key Responsibilities:
Required Qualifications:
Preferred / Nice-to-Have Skills:
Office environment
$130,000 - $170,000 a year
Our Core Values
Employees of Agile Defense are our number one priority, and the importance we place on our culture here is fundamental. Our culture is alive and evolving, but it always stays true to its roots. Here, you are valued as a family member, and we believe that we can accomplish great things together. Agile Defense has been highly successful in the past few years due to our employees and the culture we create together.
What makes us Agile? We call it the 6Hs, the values that define our culture and guide everything we do. Together, these values infuse vibrancy, integrity, and a tireless work ethic into advancing the most important national security and critical civilian missions. Itâs how we show up every day. Itâs who we are.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
