Docker - Software Engineer, Infrastructure Platform
Requirements
• 4+ years of backend software engineering experience building large-scale cloud or distributed systems • Strong software development skills in Go or a similar language, including design, testing, debugging, and code review. • Experience shipping and operating cloud services in production, often 3+ years. We hire for skill and impact, not years alone. • Solid foundation in Linux, networking fundamentals, and cloud security. • Experience building operational automation, including AI-assisted or agentic workflows, with an emphasis on safety, guardrails, and auditability. • Clear written and verbal communication in a remote environment, including RFCs, incident writeups, and async collaboration. • Nice-to-have • Kubernetes and EKS experience, plus ingress, CNI, service mesh, and familiarity with L4 and L7 load balancing. • Observability tooling such as OpenTelemetry, Prometheus, and Grafana, plus alerting and SLO practice. • CI/CD and progressive delivery, including GitHub Actions or Argo CD, canaries, and automated rollback. • Cost optimization at scale, including FinOps and capacity modeling. • Distributed systems, containers, and Go-based platform tooling. • We value depth in one area and curiosity across others, and we will help you grow in the rest. • What to Expect • What to Expect • First 30 Days • First 30 Days • Ship your first change to a Terraform module or internal service and learn how we operate. • Shadow on-call and build context on our platform and reliability priorities. • First 90 Days • First 90 Days • Own a component and deliver an improvement from design to production with measurable impact. • First Year • First Year • Lead or co-lead a meaningful platform initiative, with scope that scales by level, and help reduce toil through automation. • Become a trusted contributor in one or more areas such as platform services, Kubernetes and networking foundations, or reliability automation. • Docker considers sponsorship on a case-by-case basis based on business needs.
Responsibilities
• 1) Self-Service Platform Services • Build and operate internal platform services and APIs in Go, including provisioning, quotas and policies, cost insights, and platform workflows. • Deliver golden paths for self-serve onboarding and day-2 operations, including access, deployment setup, observability defaults, and governance guardrails. • Partner with teams to drive adoption through clear docs, examples, and measurable outcomes. • 2) Infrastructure as Code and Reliability • Codify infrastructure with Terraform and GitOps practices, and contribute to platform tooling in Go. • Define and improve SLOs, alerting, and operational readiness. Participate in incident response and preventive follow-ups. • Help standardize safe delivery patterns, including testing gates, canaries, and rollback triggers, so deployments are routine and low-risk. • 3) Kubernetes and Networking Foundations • Operate and scale multi-tenant EKS clusters and traffic and ingress systems to deliver secure, reliable routing. • Evaluate and adopt improvements with a bias toward incremental rollout and measurable impact. • 4) AI and Agentic Workflows for Reliability • Build and iterate on agentic workflows that reduce operational toil, including triage support, context gathering, safe runbook execution, and remediation suggestions. • Integrate automation into delivery and operations in a way that is safe, observable, and auditable. • 5) On-Call and Incident Response • Operational ownership is part of this role. • You’ll join an on-call rotation after onboarding and shadowing, and participate in incident response during your shifts. • We aim for sustainable on-call through good alerting, automation, and blameless postmortems focused on prevention.
Benefits
• Canada Salary RangeCanada Salary Range CA$191,700 – CA$309,000 • Offers Equity • EU Salary RangeEU Salary Range €72,064 – €123,750 • Offers Equity • US Salary RangeUS Salary Range $136,750 – $222,750 • Offers Equity • The salary range is a guideline and actual starting compensation will be determined by location, level, skills, and experience. • Upload your resume here to autofill key application fields. • Drop your resume here! • Parsing your resume. Autofilling key fields... • or drag and drop here • Physical Mailing Address • To keep your interview experience seamless and distraction-free, we use an AI Notetaker to record and transcribe our interviews. This helps interviewers focus fully on the conversation and ensures your responses are captured accurately. The recording will only be used internally for evaluation. If you would prefer not to be recorded, you can opt out on this page. Opting out will not impact your candidacy in any way. • Yes, I consent to be recorded • Opt out of recording
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