Staff Software Engineer, Developer Platform

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Software Engineer, Developer Platform based in United States.

This is a high-impact staff-level engineering role focused on building the internal platform that enables developers to ship secure software at scale.
You’ll own significant areas across monorepo CI/CD, shared build infrastructure, and agentic AI tooling.
The role combines deep technical execution with architectural leadership, platform strategy, and cross-functional influence.
You’ll help reduce developer toil, improve delivery velocity, and create reliable, standardized paths from code changes to production.
A major focus will be evolving engineering workflows to support AI-driven development while maintaining strong validation, security, and review standards.
You’ll work closely with engineers across the organization, treating internal teams as platform customers and using data to improve their experience.
This opportunity is ideal for a self-directed technical leader who thrives in ambiguity, enjoys solving complex infrastructure problems, and wants to shape the future of developer platforms.

Accountabilities

• Own significant components of the Developer Platform, including monorepo CI/CD, agentic AI infrastructure, shared build systems, and related developer tooling.
• Define and influence technical direction by evaluating architectural tradeoffs, documenting designs, and aligning multiple engineering teams around scalable target architectures.
• Improve the speed, reliability, and developer experience of CI/CD pipelines so engineering teams can spend more time delivering software and less time troubleshooting builds.
• Help develop next-generation change workflows that extend beyond traditional pull-request models, including automated validation, trusted agent-driven changes, AI-assisted review, and safe auto-merge capabilities.
• Productionize agentic AI capabilities through observability, structured tracing, cost monitoring, debuggability, shared memory, and context-engineering patterns such as skills, tools, and memory.
• Consolidate fragmented build systems and create standardized platform blueprints that enable products to onboard quickly and move reliably into production.
• Partner with engineers across the organization to identify recurring sources of toil, automate manual processes, and anticipate developer needs before they become operational bottlenecks.
• Develop technical architecture documents that address reliability, security, performance, scalability, and maintainability requirements.
• Establish and improve developer productivity practices using metrics such as DORA and SPACE to measure engineering velocity and operational effectiveness.
• Mentor engineers, raise standards for system design and code reviews, and contribute as a senior technical voice across the engineering organization.
• Build stakeholder feedback loops and use internal engineering teams as customers to continuously improve platform capabilities and adoption.

Requirements

• 8+ years of experience building and operating production services and platform infrastructure in modern cloud environments.
• Strong proficiency in Go (Golang), or demonstrated ability and willingness to ramp up quickly.
• Deep expertise in CI/CD systems, container-based orchestration, and the tooling required to operate large monorepos across build, test, and release workflows.
• Experience influencing technical direction across multiple engineering teams, including evaluating tradeoffs, retiring legacy systems, and establishing alignment around target architectures.
• Familiarity with production-grade Agentic AI or LLM-based automation, with an interest in context engineering, RAG, memory, and tool-calling at engineering-platform scale.
• Strong understanding of developer experience and engineering productivity, ideally including DORA or SPACE metrics and related instrumentation.
• Excellent communication and collaboration skills, with the ability to partner effectively with engineers and technical stakeholders across an organization.
• Comfortable working in a fast-paced, highly autonomous environment where priorities evolve and ambiguity is part of the work.
• Strong analytical and problem-solving skills, with a data-driven approach to improving software delivery and platform performance.
• Experience scaling GitHub Actions, Argo Workflows, Buildkite, or comparable high-throughput build and workflow systems is highly valued.
• Experience supporting high volumes of automated changes and developing workflows beyond traditional pull-request-based delivery models is a plus.
• Experience operating a large Go monorepo and its associated tooling is beneficial.
• Familiarity with software supply-chain security, OCI, Kubernetes, or open-source software ecosystems is advantageous.
• Experience developing internal platform milestones and feedback loops with engineering teams is a plus.
• Candidates must be based in the United States.
• Employment sponsorship is not currently available for this position.

Benefits

• Base salary range of $205,000–$231,000 USD .
• Flexible, remote-first working environment with opportunities for team meetups and biannual destination summits.
• Monthly stipend for coworking spaces, phone, and internet expenses.
• Stock options upon hire and promotion, with opportunities to participate in secondary offerings.
• Up to 10 years to exercise stock options .
• 100% company-paid health, vision, and dental insurance premiums for employees and dependents.
• Unlimited flexible time off.
• 18 weeks of paid parental leave for birthing parents and 12 weeks for non-birthing parents, with flexible usage during the child’s first year.
• Opportunity to work with a highly technical team focused on secure software, developer productivity, automation, and AI-enabled engineering.
• A culture centered on customer focus, intentional action, ownership, transparency, and continuous improvement.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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.