Senior Software Engineer, Infrastructure
Indexed description
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.
Docker is shipping a wave of new products this year, and we’re investing heavily in the platform underneath all of it. That platform supports hundreds of engineers and carries high-scale production traffic every day — and it has grown faster than its foundations. This year is about closing that gap.
Right now, too much of that work leans on a handful of experts unblocking the same provisioning and operational workflows by hand. The top priority for this role is turning that into paved roads: self-service systems with clear ownership, safe defaults, strong guardrails, and adoption we can measure — a platform teams trust enough to stop thinking about, so they can focus on their products instead of ours.
The concrete goal is on this year’s roadmap: spinning up a new region or application environment should take hours, not days. Getting there means building real multi-region, cross-account networking and a continuous-deployment flow teams can trust, then a self-service layer on top. We’re the container company building our own internal platform, so the bar for the easy path also being the safe path is high.
You’d join a team of four, growing to seven this year — this is one of those hires. We’re looking for a senior engineer who can own significant parts of this platform end to end, drive projects to real production adoption, and raise how the whole team builds.
Responsibilities
This is a senior, deeply hands-on role. You’ll own significant components, drive projects from design through production adoption, and shape the platform’s technical direction while helping teammates grow. Concretely, you will:
- Turn ambiguous infrastructure problems into clear designs and working systems — contributing to RFCs and architecture reviews, and driving your projects to done.
- Build self-service capabilities and platform APIs (primarily in Go) for onboarding, provisioning, deployment, observability defaults, and day-2 operations — with contracts and docs teams actually use.
- Apply and help shape delivery standards with Terraform, GitOps on Argo CD, progressive rollout, and strong testing — including the continuous-deployment flow we’re missing today.
- Strengthen the multi-tenant EKS foundations for reliability, security, scale, and cost: Envoy Gateway ingress, traffic routing, and multi-region, cross-account connectivity.
- Improve SLOs, alerting, and incident follow-up on Grafana Cloud so production gets safer and less dependent on heroics.
AI-assisted operations
We’re Investing In AI-assisted And Agentic Workflows To Cut Operational Toil, And We Care That They Stay Safe, Auditable, And Human-reviewed. You’ll Help Shape Where They Earn Their Place And Where They Don’t. Early Targets
- Alert enrichment and incident context-gathering: assembling the relevant signals, history, and runbook so the on-call engineer starts with context instead of a blank page.
- Runbook-assisted diagnosis and remediation recommendations, with a human in the loop on anything that changes production.
- Onboarding and readiness assistants that answer the questions our experts answer today.
On-call
Operational ownership is part of the job. You’ll join the rotation after onboarding and shadowing, and help improve on-call itself: better alerts, stronger runbooks, less toil, and blameless postmortems aimed at prevention.
Qualifications
- 6+ years of hands-on software engineering in backend, infrastructure, or platform engineering, though we weight real depth and impact more heavily than exact tenure.
- Strong software engineering in Go or a similar language: design, testing, debugging, review, and long-term maintainability.
- A track record of building, shipping, and operating cloud services or infrastructure in production.
- Deep expertise in at least one of Kubernetes, networking, cloud platforms, reliability engineering, or developer platforms — plus solid Linux and production-ops fundamentals.
- Experience shaping technical direction and working effectively across teams.
- Clear written and verbal communication in a remote environment (RFCs, design docs, incident writeups).
- Bachelor’s in CS/Engineering or equivalent practical experience.
You don’t need every item here. We value strong systems judgment, real depth in at least one area, and curiosity across the rest.
What To Expect
First 30 days
- Build context, meet partner teams, ship your first change, and shadow on-call.
- Own a meaningful platform component or project with a clear plan and metrics, and take an improvement from design to production.
- Own a significant part of the platform and become a go-to for it — contributing to a major cross-team initiative (for example, self-service provisioning of new regions and environments, or the multi-region networking and CD foundations behind it) and establishing durable patterns your team relies on.
United States: $160,900 – $260,700 + equity
EU: €94,050 – €155,650 + equity
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
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