ML Platform Engineer at Afresh responsible for enhancing machine learning platform capabilities. Collaborating with teams to facilitate AI - driven grocery solutions and tackle food waste.
About the role
- Staff Software Engineer responsible for the Developer Platform at Chainguard, building secure software infrastructure. Focus on CI/CD, AI tooling, and developer experience innovations.
Responsibilities
- Take ownership of significant pieces of the Developer Platform, across monorepo CI/CD, the Agentic AI platform (DriftlessAF), shared build infrastructure, or the change-throughput substrate, and contribute to technical direction alongside the rest of the team.
- Improve the speed, reliability, and developer experience of the monorepo CI/CD pipeline so engineers spend more time shipping and less time waiting on or debugging builds.
- Contribute to the next generation of change throughput — exploring substrates beyond PR-based workflows for agent-driven changes, helping enable trusted agents to commit directly to main with automated validation, and supporting AI-assisted review and auto-merge for low-risk changes.
- Help productionize the Agentic AI platform: agent observability (structured traces, costs, debuggability), RAG-as-platform so any team can give its agents shared memory, and the context-engineering patterns (skills, tools, memory) that keep agents reliable from dev through prod.
- Work with the team to consolidate fragmented build systems and deliver standardized "paved road" blueprints so new products can onboard to the monorepo and ship to production quickly.
- Partner directly with engineers across the company to identify toil, codify patterns, and automate repetitive manual work away — treating internal stakeholder teams as customers of the platform.
- Mentor teammates, raise the bar on design and code review, and serve as a technical voice for engineering velocity and operational excellence.
Requirements
- 8+ years building and operating production services and platform infrastructure in modern cloud environments.
- Proficiency with Go, or strong readiness to ramp quickly.
- Deep technical expertise in CI/CD systems, container-based orchestration, and the tooling required to scale a large monorepo across build, test, and release.
- Experience contributing to technical direction across multiple teams — evaluating tradeoffs, helping deprecate legacy systems, and building alignment around a target architecture.
- Familiarity with Agentic AI and LLM-based automation in production, and an interest in context engineering (RAG, memory, tool-calling) at platform scale.
- Excellent communication and collaboration skills, with a track record of identifying and automating away repetitive manual work alongside the engineers who feel it most.
- Comfort with ambiguity and a focus on data-driven improvements to product delivery — you're self-directed, set a high bar, and thrive in a fast-moving environment where quality and speed go hand in hand.
Benefits
- Flexible & Remote-First Culture: Work remotely with team meetup opportunities, bi-annual destination summits, and a monthly stipend for coworking spaces, phone and internet costs.
- Our Approach to Equity: Receive stock options upon hire and promotion. Plus, you can participate in secondary offerings and have 10 years to exercise your options (yes, you read that correctly: 10 years!).
- 100% Covered Health Insurance: We cover 100% of your health, vision and dental insurance premiums for you and your dependents. Nothing comes out of your paycheck.
- ∞ Flexible Time Off: Take the time you need – to do our best work, we need to recharge and reset.
- 18 Weeks Paid Parental Leave: We offer 18 weeks for birthing parents and 12 weeks for non-birthing parents, with the option to use it all at once or throughout your child's first year.
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