Senior Platform Engineer (DevOps)

Responsibilities

• Own outcomes end-to-end. Frame the problem, design the solution, ship it, and own whether it actually moved the metric.
• Descope to the cheapest version that works, and prototype in days, not weeks.
• Build for self-service, not for tickets. Treat the platform as a product and internal engineers as your customers.
• Understand their friction, then solve it with reusable, well-documented tooling that teams adopt on their own — so the fix scales to everyone, not just the team that asked.
• Own and evolve the paved road. Set the direction for our GitOps, Kubernetes (AWS EKS / ArgoCD), and serverless (AWS Lambda) patterns so the easy path is also the secure, reliable, and cost-aware one — and lead the migrations that get us there.
• Lead incident response for the systems you own, drive blameless postmortems, and turn what you learn into durable fixes. Set the on-call practices that keep us meeting our SLAs without burning people out.
• Architect AI-driven leverage. Design and operate AI agents and automation that hold up in production — auto-triage, auto-remediation, agent-assisted CI/CD — and set the guardrails, evals, and cost controls that keep them safe. Evolve the team’s practices as the tooling changes.
• Multiply the team. Mentor on judgment and systems thinking, not just syntax. Write decision memos and ADRs, set standards, and bring patterns and hard-won context back to the wider org instead of hoarding them.

Qualifications And Skills

• 5+ years building, operating, and owning production infrastructure at scale, with a track record of platform work that made many engineers faster.
• Deep expertise in a cloud environment (AWS) and with containers and orchestration (Docker, Kubernetes / EKS, Helm).
• Strong command of CI/CD and GitOps (GitHub Actions, ArgoCD) and Git-based workflows.
• Hands-on expertise with Infrastructure as Code (Terraform) and configuration automation.
• Solid grasp of Linux (Ubuntu), production databases (PostgreSQL/RDS, DynamoDB, MySQL, MongoDB), and networking (load balancers, firewalls, routing, VPN).
• A track record of shipping something you cared about end-to-end and owning the outcome — and the instinct to solve a problem once, reusably, rather than the same problem over and over.
• Treats developer experience as a product — measures adoption and delivery metrics (e.g., DORA) and iterates on tooling the way a PM iterates on a feature.
• Strong systems-design judgment in ambiguous contexts, and the ability to descope well and push back on low-value work.
• Experience leading incidents and operating customer-facing production environments with a focus on uptime and service quality.
• Uses AI agents and coding tools as a daily driver — reads their output critically and builds automation on top of them, not just consumes them.
• Clear written and verbal communication, plus mentorship experience — you make the people around you more productive.
• A security and reliability mindset that fits working with sensitive consumer data.
• A 4-year degree in engineering or computer science.