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Software Engineer - Apollo Systems
A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Apollo is Palantir’s autonomous software management and deployment platform. It enables seamless, continuous delivery of mission-critical software (Foundry, Gotham, AIP) across a vast range of environments: on-prem, public cloud, disconnected (air-gapped) networks, and highly regulated settings (including IL-5 and FedRAMP). As a Software Engineer on the Apollo team, you’ll build and operate a large-scale distributed system to allow the remote operation and maintenance of Kubernetes clusters. Our mission is to extract the entire state of a cluster into a portable, high-performance artifact within minutes, enabling full and almost instant cluster reconstruction from the ground up—all while pushing the limits of speed, reliability, and scale. You’ll design and implement backup and restore solutions for Kubernetes, leveraging proprietary compression infrastructure tailored to Palantir’s unique deployment models. You’ll also build and optimize our container artifact store, which is based on the OCI (Open Container Initiative) distribution spec—the industry standard for storing and distributing container images and artifacts. You’ll own the backbone of every environment Apollo supports, from hyperscalers to Army trucks. If you’re excited by challenges at the intersection of container technologies like OCI and docker, storage, and distributed systems, you’ll find opportunities here to dive deep into storage formats and low-level optimizations, where milliseconds matter. As we increasingly automate cluster creation and management on diverse hardware, you’ll play a key role in scaling Palantir’s presence at the edge and solving tough distributed systems problems. You’ll own the full development lifecycle—from idea generation and design, through implementation, to operation and support—while collaborating closely with both technical and non-technical stakeholders to deliver robust, impactful infrastructure. The usage of AI tools (Claude Code/Codex/Copilot) is highly encouraged!
< 24 hours
Software Engineer - Apollo Systems
A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Apollo is Palantir’s autonomous software management and deployment platform. It enables seamless, continuous delivery of mission-critical software (Foundry, Gotham, AIP) across a vast range of environments: on-prem, public cloud, disconnected (air-gapped) networks, and highly regulated settings (including IL-5 and FedRAMP). As a Software Engineer on the Apollo team, you’ll build and operate a large-scale distributed system to allow the remote operation and maintenance of Kubernetes clusters. Our mission is to extract the entire state of a cluster into a portable, high-performance artifact within minutes, enabling full and almost instant cluster reconstruction from the ground up—all while pushing the limits of speed, reliability, and scale. You’ll design and implement backup and restore solutions for Kubernetes, leveraging proprietary compression infrastructure tailored to Palantir’s unique deployment models. You’ll also build and optimize our container artifact store, which is based on the OCI (Open Container Initiative) distribution spec—the industry standard for storing and distributing container images and artifacts. You’ll own the backbone of every environment Apollo supports, from hyperscalers to Army trucks. If you’re excited by challenges at the intersection of container technologies like OCI and docker, storage, and distributed systems, you’ll find opportunities here to dive deep into storage formats and low-level optimizations, where milliseconds matter. As we increasingly automate cluster creation and management on diverse hardware, you’ll play a key role in scaling Palantir’s presence at the edge and solving tough distributed systems problems. You’ll own the full development lifecycle—from idea generation and design, through implementation, to operation and support—while collaborating closely with both technical and non-technical stakeholders to deliver robust, impactful infrastructure. The usage of AI tools (Claude Code/Codex/Copilot) is highly encouraged!
< 24 hours
Staff Software Engineer, Security Factory: Static Analysis
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. *Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Staff Backend Engineer on GitLab's Security Factory: Code Scanning team, you help developers find and fix security issues. Those issues live in the code they write, and you set the technical direction for the static analysis engine that finds them. Your work spans two complementary parts of a complete security analysis. On the engine side, you shape how the static analysis toolkit models a program: parsing source into intermediate representations, resolving symbols, building call graphs, and tracking tainted data across files and languages. You define the architecture and specifications the team builds against, and you delegate component specifications within them to engineers and to the AI agents that implement them. On the evaluation side, you build and apply tooling that tests, measures, and validates what the engine finds against benchmark applications with known vulnerabilities. What the engine can model and how we measure what it finds are parts of one picture. As a Staff engineer you hold that picture, shape the long-range technical goals of the team, and raise the bar for every engineer on it. We build the engine with AI agents that write and review code from written specifications, under human direction. We expect you to direct that work effectively and with good judgment, and to help the team do the same. What you do Act as the directly responsible individual (DRI) for the team's highest-scope initiatives from design through delivery, shipping large features with minimal guidance and shaping the long-range goals of the team Bring systems built by one engineer to team ownership through documentation, tests, and shared review Set the technical direction for the AI-assisted tooling that implements, reviews, and validates engine changes and findings, design the checks that decide whether an agent-written change or generated result is fit to merge, and measure detection quality against benchmark applications with known vulnerabilities, raising the bar for what counts as a trustworthy result. That includes static application security testing (SAST) rules mapped to CWE and OWASP, and the test fixtures that prove they work. Own the architecture of the program model (parsing, symbol resolution, intermediate representations, call graphs, and taint and data-flow analysis) and of the pipeline that turns source code into findings, and define how both extend to new languages and frameworks Solve technical problems of the highest scope and complexity, actively seek out difficult impediments affecting the whole team, and advocate for improvements to quality, security, and performance with Product Management, UX, and partner teams such as Code Security and Composition Analysis Mentor all engineers on the team through code review and pairing, remove blockers to their autonomy, and shepherd the definition and improvement of our internal standards through review Participate in on-call rotations to assist troubleshooting product operations, security operations, and urgent engineering issues Define the overarching architecture and specification documents for the engine, delegate component specifications within them, and drive their implementation by AI agents and engineers working independently through phased plans, small reviewable units of change, and specifications kept in lockstep with the code Build and maintain the harness, agent instructions, and agentic skills that keep agent-written code trustworthy, including separate coding and reviewing agents, rules and tests the coding agents cannot change, independent review panels of agents from different model providers, and performance, API, and dependency gates, with risky changes escalated to human review Stay current with research in program analysis and security, run AI-assisted research and spikes, and turn the findings into prototypes, proposals, and upstream contributions, including responsible disclosure of findings in open source projects What you bring Experience building your own LLM tooling, such as a harness, an agent pipeline, or evaluations, with the judgment to know when output is trustworthy and when it isn't Extensive professional experience writing, testing, and reviewing production code in Rust, Go, or a comparable systems language, with depth in at least one. The engine is Rust, the analyzer wrapper is Go, and the monolith integration is Ruby, and we value willingness to work across them. Experience with performance optimization and with containerized workflows and CI/CD (we use Docker heavily) A deep program analysis and static analysis background, such as parsing and ASTs, intermediate representations (SSA, control-flow and call graphs), taint and data-flow analysis, type inference, incremental and fixpoint computation, or writing detection rules, with the ability to read, evaluate, and apply the research literature Deep application security experience, such as vulnerability research, secure code review, or writing detection rules, and fluency with vulnerability classes (OWASP Top 10, CWE) Demonstrated capacity to communicate clearly and concisely about complex technical, architectural, and organizational problems, and to write architecture and design specifications that bring a team to a decision A track record of taking ownership of ambiguous, team-wide problems and shipping them from concept to production with minimal guidance, with specific, regular async updates on progress, blockers, risks, and next steps Experience defining a system's overarching architecture, delegating component specifications to engineers and AI agents, and getting them implemented reliably A track record of mentoring engineers, raising a team's technical bar, and influencing technical direction by achieving consensus with peers and leadership Helpful experience Familiarity with popular web or mobile application frameworks and how they handle input, data, and configuration Experience designing guardrails for agent-written code, such as mutation testing, fuzzing, and CI gates the coding agent cannot modify A record of engaging with the research community, such as publications, tool papers, or upstream open source contributions in program analysis or security About the team The Security Factory: Code Scanning team develops GitLab's SAST capabilities for customer software repositories. We work closely with the Code Security team on scanning rules & flows, with Composition Analysis on the broader software supply chain, and with other groups across the Sec Section. We rely heavily on asynchronous work across time zones. Remote-Global The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $152,800—$259,200 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know during the recruiting process.
< 24 hours
Senior Software Engineer, Security Factory: Code Security
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. *Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Senior Backend Engineer on GitLab's Security Factory: Code Security team, you help developers find and fix security issues. Those issues live in the code they write and in the open source components they depend on. Your work spans complementary parts of a complete security analysis. On the dependency analysis side, you teach the analysis engine what a project depends on. You parse dependency manifests, lockfiles, and SBOMs so the engine knows which libraries and frameworks are in play and how the code uses them. You also extend the service that turns security advisories into automated merge requests that update vulnerable dependencies. On the vulnerability detection side, you grow GitLab's security analysis engine with hybrid analyzers that blend rule-based detection and AI reasoning. You build and apply the tooling that develops, evaluates, and ships those analyzers, and you measure how well they find real problems. That work also expands coverage of the libraries, frameworks, and AI agent tooling that real-world applications are built on. These threads reinforce each other. What a project depends on, and how its code uses those dependencies, are parts of one picture, and this team works across all of it. We make thoughtful use of AI-assisted development tools in our daily work. We expect you to use them effectively and with good judgment. What you do Act as the directly responsible individual (DRI) for team initiatives from design through delivery, shipping with minimal guidance in partnership with the technical lead Bring systems built by one engineer to team ownership through documentation, tests, and shared review Design and ship analyzers that pair deterministic analysis capabilities with AI-driven analysis, and build the evaluation harnesses that measure their false positives and missed findings against benchmark applications with known vulnerabilities, raising the bar for what counts as a trustworthy result. That includes detection rules mapped to CWE and the test fixtures that prove they work. Package those analyzers for every place GitLab runs them, including CI jobs, AI agent workflows, and command-line tools, with findings reported in GitLab's standard security report formats Design and ship the manifest, lockfile, and SBOM parsing that tells the static analysis engine what a project depends on, and extend it to new ecosystems and formats Ship features across the automated remediation service that turns security advisories into dependency update merge requests, from sandboxed updates to merge request creation Solve technical problems of high scope and complexity, actively seek out difficult impediments affecting the whole team, and advocate for improvements to quality, security, and performance with Product Management, Engineering stakeholders such as Frontend and UX, and partner teams such as Code Scanning and Composition Analysis Mentor Intermediate engineers through code review and pairing, and maintain our internal standards for style, maintainability, and best practices through review Participate in on-call rotations to assist troubleshooting product operations, security operations, and urgent engineering issues What you bring Experience building your own LLM tooling, such as a harness, an agent pipeline, or evaluations, with the judgment to know when output is trustworthy and when it isn't Substantial professional experience writing and testing production code in a systems language, particularly Go and/or Rust, with depth in at least one. We use both, plus Ruby on the remediation side and Python for some analyzers, and value willingness to work across them. Familiarity with package managers and dependency management in one or more language ecosystems, such as npm, Maven, pip, Bundler, or Cargo. Experience building tooling around them is better still. Demonstrated application security experience, such as vulnerability research, secure code review, or writing detection rules, and fluency with vulnerability classes (OWASP Top 10, CWE) and the software supply chain A track record of taking ownership of ambiguous problems and shipping with minimal guidance, with the self-motivation and organizational skills suited to a remote, largely asynchronous environment Demonstrated capacity to communicate clearly and concisely about technical problems, and to write design proposals that bring a team to a decision Helpful experience Experience evaluating AI-driven detection against labeled data, including measuring false positives and missed findings Experience with performance optimization at scale Hands-on program analysis experience, such as parsing, ASTs, or data-flow analysis Familiarity with popular web or mobile application frameworks and how they handle input, data, and configuration Experience with containerized workflows and CI/CD (we use Docker heavily) About the team The Security Factory: Code Security team builds GitLab's code-level security scanning capabilities, spanning static application security testing and dependency scanning. We help developers find and fix security issues in both the code they write and the open source components they depend on, as early as possible. We work closely with the Static Analysis team on GitLab's SAST engines, with Composition Analysis on the broader software supply chain, and with other groups across the Sec Section. We rely heavily on asynchronous work across time zones. Remote-Global The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $139,200—$235,200 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know during the recruiting process.
< 24 hours
People Systems Engineer
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. *Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role At GitLab, People technology never stands still, and as a People Systems Engineer, you’ll build what keeps it moving. Reporting to the Senior Director, People Technology, and working alongside our Lead People Systems Engineer, you’ll design, build and maintain the automations, integrations and AI-powered workflows that connect Workday, Greenhouse, Slack and the tools that power our global workforce. You’ll own features from request through tested code, deployment and ongoing reliability across Workato, Google Cloud and Claude. With an AI-forward mindset, you’ll rethink how People work gets done, eliminating manual effort and creating streamlined, delightful experiences for team members. If you think like a software engineer, love solving puzzles and want to grow your career at the intersection of people systems, AI and automation in an all-remote, async-first environment, this is your role. What You’ll Do Build, test and maintain People system automations and integrations across Workato, Google Cloud Platform, Claude, Workday, Greenhouse and GitLab, owning your features from design through deployment. Develop integrations between Workday, Greenhouse, Slack and internal tools using Workday Web Services (WWS) and Slack’s API and Bot SDK, and build Slack apps and bots that turn manual steps into simple, automated workflows for team members around the world. Write clean, readable automation code in Ruby or a comparable scripting language, stored and versioned in GitLab, with clear documentation and peer code reviews. Keep pace with a high-growth company by monitoring integration health, troubleshooting failures quickly and fixing root causes so our automations stay reliable at scale. Ship changes safely through GitLab CI/CD pipelines, following testing, change-management and Sarbanes-Oxley (SOX) IT general controls (ITGC) standards with care. Lead with AI: use AI tools, large language models (LLMs) and Model Context Protocol (MCP) frameworks, including Claude, every day to accelerate development, prototype AI agents and reimagine how People work gets done, then share what you learn so the whole team moves faster. Look past the surface of a request to find the real problem, then recommend and build solutions that are durable, scalable and easy to support. Partner with People Technology Analysts on configuration, testing and releases, and with Information Security, IT and AI Engineering on security and standards. Raise the bar for how automations are architected, documented and maintained, learning from and contributing alongside our Lead People Systems Engineer. What You’ll Bring Hands-on experience building automations or integrations, ideally with human resources or business systems. Experience writing and maintaining code in Ruby or a comparable scripting language, such as Python or JavaScript, and a willingness to learn Ruby if you haven’t already. Hands-on experience with Workato or a comparable integration platform as a service (iPaaS) in a production environment. Experience working with APIs and web services, including REST and SOAP, and an understanding of how data moves between systems. Proficiency with Git for version control and code review; you treat automation code like production software. A forward-thinking, AI-forward mindset: you use AI tools every day to automate tasks, speed up development and improve processes, and you’re energized by what AI makes possible next. The ability to work independently, solve problems with curiosity, come with options and a recommendation, and collaborate openly. You protect highly confidential information and take ownership of code quality, reliable outcomes and the end user’s experience. Additional relevant experience includes Workday integrations (WWS, Reporting as a Service or Workday Studio), Slack apps or bots, CI/CD pipelines, Google Cloud Platform or Amazon Web Services, Docker or Kubernetes, building with LLMs, AI agents or MCP frameworks, SOX ITGC controls, Greenhouse, Serval, Google Workspace, or all-remote and asynchronous work. A related computing degree or equivalent experience is also welcome; none of these is required. About the team The People Technology team is building the systems foundation that lets GitLab scale as a global, all-remote company. We’re always raising the bar for what People technology can do, improving reliability, usability and intelligence across the platforms that power our People organization. We work across core systems, integrations, reporting and compliance, and partner closely with stakeholders across time zones to move fast, build with purpose and create seamless experiences that empower people to do their best work. If you want to grow your career building something that matters at a company working at the edge of what’s possible, this is the team. How GitLab will support you Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental leave Home office support Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know during the recruiting process.
< 24 hours
Backend/API Engineer, Money as a Service
Note: if you are an intern, new grad, staff, front-end, or full-stack applicant, please do not apply using this link and visit our jobs page for those specific postings. Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team MaaS sub-organizations include Accounts and Connect, Money Movement and Storage (MMS), Banking as a Service (BaaS), and Crypto. Money as a Service (MaaS) oversees a diverse portfolio of core Stripe products and platforms. These offerings facilitate the global movement and management of funds for users. The teams that fall under the MaaS umbrella include Accounts and Connect, Money Movement and Storage (MMS), Crypto, and Banking as a Service (BaaS). Together, these teams work to ensure Stripe users have the robust financial infrastructure and tools they need to power their businesses on a global scale. Exact team matching for one of the subteams begins during final stages. Please note we may also consider you for different orgs based on your experience, location, etc. Find more information on our team matching process here. What you'll do We're looking for Backend Engineers who want to make an impact on managing money at a global scale with a passion for building ergonomic APIs. You'll play a key role in extending our balance management platform and in building out a new funds accessibility platform that enterprises and SMBs use. Our team collaborates with many cross-functional teams—from Infrastructure to Product—at Stripe to deliver innovative solutions that address evolving user needs. Responsibilities Scope, design, build, and maintain APIs, services, and large-scale systems that reliably and efficiently handle billions of money movement requests Debug and solve critical production issues across services and multiple levels of the stack Mentor engineers to help them grow Collaborate with stakeholders across the company to build new features at large-scale, while improving internal engineering standards, tooling, and processes Collaborate effectively in a distributed and hybrid team, maintaining open communication and strong connections with colleagues Who you are We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements 2–12+ years of industry software engineering experience (does not include internships or co-ops) Strong coding skills in any programming language (we understand new languages can be learned on the job, so our interview process is language-agnostic) Strong collaboration skills and the ability to work across workstreams within your team and contribute to your peers' success Ability to thrive with a high level of autonomy and responsibility, with an entrepreneurial mindset Interest in working as a generalist across varying technologies and stacks to solve problems and delight both internal and external users Preferred qualifications Experience with large-scale financial tracking systems Good understanding and practical knowledge in cloud-based services (e.g., gRPC, GraphQL, Docker and Kubernetes, cloud services such as AWS, etc.)
< 24 hours
Staff Software Engineer, Core AI Infrastructure
Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. Staff Software Engineer, Core AI Infrastructure You'll join a high-performing team of engineers driving AI transformation at Coinbase as a Senior Software Engineer on the IT Operations team within ESTO. This team builds custom products through full-stack engineering and scales the infrastructure powering Coinbase's AI products, with direct exposure to senior leadership in a fast-paced, incubator-style environment. You'll own the reliability and automation of critical AI infrastructure, ensuring our systems are resilient, observable, and secure at scale. What you'll do: Own end-to-end delivery of AI products by building production-grade distributed systems, including serving infrastructure, data pipelines, and deployment orchestration across the full stack throughout the SDLC. Drive platform adoption by designing clean APIs, abstractions, and developer-facing tooling that enable product teams to integrate AI capabilities without bespoke infrastructure requests. Partner with engineering and product leadership across Platform and other product groups to align infrastructure requirements, resolve cross-team technical dependencies, and define shared platform contracts. Shape engineering standards and technical culture by establishing architectural patterns, mentoring engineers, and raising the bar on code quality, observability, and operational excellence. Build full-stack applications that power internal AI products and infrastructure using Go or Python. Required Skills and Experience: 8+ years of experience automating and supporting cloud infrastructure (AWS) and network environments, with hands-on use of infrastructure-as-code tools such as Terraform, Ansible, Chef, Puppet, or Salt. Proven experience deploying, managing, and troubleshooting containerized workloads using Docker and Kubernetes in production environments. Proficiency in at least one programming language (Python, Bash, Ruby, or Go) and version control workflows using Git-based CI/CD pipelines. Platform-builder mindset with proven history of designing reusable infrastructure, APIs, and abstractions adopted by multiple teams across an engineering organization. Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality. Pay Transparency Notice: Base salary varies by location (see range below). Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)). Annual base salary range (excluding equity and bonus): $218,025—$256,500 USD Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period. Equal Opportunity Employer: Coinbase is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws. US Applicants: View Employee Rights, Know Your Rights, and E-Verify Notice of Participation. Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com. Need screen reading technology? Click here to download a free compatible screen reader and view the tutorial. Data Privacy & Arbitration: By submitting your application, you agree to our Candidate Privacy Notice. US applicants: By submitting your application, you agree to Arbitration of Disputes.
< 24 hours
Software Engineer
Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. Software Engineer - Compliance CXAE As a Software Engineer on the EAA Compliance CXAE team within the Enterprise Engineering,, you'll build the AI-first applications and services that power how CX Compliance agents work every day. This team is responsible for the platforms, tools, and integrations that streamline compliance processes, helping agents resolve customer issues and KYC workflows faster, with greater accuracy, and at scale. You'll own full-stack feature delivery across Golang and React, ship third-party integrations, and directly improve the productivity and compliance experience for millions of Coinbase customers. What you'll do: Own end-to-end development of user-facing features across the compliance agent platform using Golang, React, and cloud technologies, from design through production deployment. Lead assessment, selection, and implementation of third-party tools and vendor integrations that extend platform capabilities and accelerate delivery. Partner with product, design, security, and data teams to deliver cross-functional solutions to complex compliance and CX problems. Build and maintain scalable, high-traffic services leveraging event-driven architectures, caching, load balancing, and observability tooling across AWS and Kubernetes. Mentor engineers on design patterns, coding standards, testing strategies, and deployment best practices to raise the overall quality bar for the team. Required Skills and Experience: 2+ years of professional software engineering experience building web applications with at least one modern backend language (Golang, Python, Java, or similar) and a frontend framework (React, Angular, Vue, or similar). Familiarity with cloud infrastructure (AWS, GCP, or Azure) and containerized deployment environments (Kubernetes, Docker, or similar). Experience working with distributed systems concepts such as caching, event-driven architectures, or API integrations. Ability to communicate technical concepts to both technical and non-technical audiences through documentation, design proposals, or code reviews. Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality. Job ID: P77388 Pay Transparency Notice: Base salary varies by location (see range below). Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)). Annual base salary range (excluding equity and bonus): $152,405—$179,300 USD Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period. Equal Opportunity Employer: Coinbase is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws. US Applicants: View Employee Rights, Know Your Rights, and E-Verify Notice of Participation. Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com. Need screen reading technology? Click here to download a free compatible screen reader and view the tutorial. Data Privacy & Arbitration: By submitting your application, you agree to our Candidate Privacy Notice. US applicants: By submitting your application, you agree to Arbitration of Disputes.
< 24 hours
Senior Software Engineer, Core AI Infrastructure
Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. Senior Software Engineer, AI Transformation You'll join a high-performing team of engineers driving AI transformation at Coinbase as a Senior Software Engineer on the IT Operations team within ESTO. This team builds custom products through full-stack engineering and scales the infrastructure powering Coinbase's AI products, with direct exposure to senior leadership in a fast-paced, incubator-style environment. You'll own the reliability and automation of critical AI infrastructure, ensuring our systems are resilient, observable, and secure at scale. What you'll do: Own end-to-end delivery of AI products by building production-grade distributed systems, including serving infrastructure, data pipelines, and deployment orchestration across the full stack throughout the SDLC. Drive platform adoption by designing clean APIs, abstractions, and developer-facing tooling that enable product teams to integrate AI capabilities without bespoke infrastructure requests. Partner with engineering and product leadership across Platform and other product groups to align infrastructure requirements, resolve cross-team technical dependencies, and define shared platform contracts. Shape engineering standards and technical culture by establishing architectural patterns, mentoring engineers, and raising the bar on code quality, observability, and operational excellence. Build full-stack applications that power internal AI products and infrastructure using Go or Python. Required Skills and Experience: 5+ years of experience automating and supporting cloud infrastructure (AWS) and network environments, with hands-on use of infrastructure-as-code tools such as Terraform, Ansible, Chef, Puppet, or Salt. Proven experience deploying, managing, and troubleshooting containerized workloads using Docker and Kubernetes in production environments. Proficiency in at least one programming language (Python, Bash, Ruby, or Go) and version control workflows using Git-based CI/CD pipelines. Platform-builder mindset with proven history of designing reusable infrastructure, APIs, and abstractions adopted by multiple teams across an engineering organization. Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality. Pay Transparency Notice: Base salary varies by location (see range below). Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)). Annual base salary range (excluding equity and bonus): $186,065—$218,900 USD Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period. Equal Opportunity Employer: Coinbase is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws. US Applicants: View Employee Rights, Know Your Rights, and E-Verify Notice of Participation. Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com. Need screen reading technology? Click here to download a free compatible screen reader and view the tutorial. Data Privacy & Arbitration: By submitting your application, you agree to our Candidate Privacy Notice. US applicants: By submitting your application, you agree to Arbitration of Disputes.
< 24 hours
Senior Software Engineer, Backend (Consumer - Growth Foundations)
Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase. As a Senior Software Engineer, Backend on the Growth Foundations team within the Consumer & Business group, you'll build and scale the core infrastructure that powers growth across Coinbase. This team owns the foundational systems behind powering efforts as: notifications at scale, incentives and referral platforms, user targeting and segmentation, lifecycle communications, and ML ranking that power more than 50% of Coinbase web and app surfaces. You'll design and ship backend systems that enable high-impact growth initiatives for Retail, Institutional, Base, and international teams while maintaining the reliability, scalability, and performance our customers depend on. What you'll do: Own the design and delivery of scalable distributed backend services that handle high QPS, low latency, and high reliability requirements for growth infrastructure Architect resilient service-oriented systems using modern cloud technologies, contributing across backend, data, and ML layers of the stack Partner with engineers, designers, product managers, and senior leadership to translate product and technical vision into quarterly roadmaps Lead investments in developer tooling, shared platform capabilities, and cross-team relationships that increase organizational velocity Build high-quality, well-tested production code for systems that are secure, reliable, and maintainable at scale Drive rapid experimentation by building and iterating on growth features that deliver measurable impact to user acquisition and retention Required Skills and Experience: 5+ years of professional backend software engineering experience designing, building, scaling, and maintaining production services in distributed environments Demonstrated expertise in server-side architecture including performance optimization, security, scalability, and containerized environments (e.g., AWS, Kubernetes, Docker) Proven ability to design and run growth experiments or A/B tests, using data to identify and prioritize high-impact opportunities Experience integrating with databases, caching layers, and storage solutions (e.g., Postgres, MongoDB, DynamoDB) in high-throughput systems Track record of collaborating cross-functionally with product and engineering teams to deliver end-to-end solutions from scoping through production monitoring in a high velocity environment Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality. ID # P77683 Pay Transparency Notice: The target annual base salary for this position can range as detailed below. Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, and vision). Annual base salary range (excluding equity and bonus): $191,100—$191,100 CAD Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period. Equal Opportunity Employer: Coinbase is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws. US Applicants: View Employee Rights, Know Your Rights, and E-Verify Notice of Participation. Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com. Need screen reading technology? Click here to download a free compatible screen reader and view the tutorial. Data Privacy & Arbitration: By submitting your application, you agree to our Candidate Privacy Notice. US applicants: By submitting your application, you agree to Arbitration of Disputes.
< 24 hours