Docker
Staff Software Engineer, Infrastructure
$170K–$276K
Canada +1 · Remote · Staff · Full-time · Posted Jun 8, 2026
- Location
- Canada
United States - Experience
- 8+ years; the posting also says hiring is based on skill and impact, not years.
- Education
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- Visa sponsorship
- Docker considers visa sponsorship on a case-by-case basis based on business needs.
About the job
Sets technical direction and builds self-service infrastructure platforms, multi-region networking, and trusted deployment systems for Docker’s engineering teams.
What you'll do
- Design and deliver self-service platform capabilities and APIs for provisioning, deployment, observability, and operations.
- Build delivery standards and continuous deployment, and evolve multi-tenant EKS infrastructure, networking, reliability, security, and cost.
- Lead cross-team technical direction and improve on-call operations, including SLOs, alerting, and incident follow-up.
What they ask for
- 8+ years of professional, hands-on, full-time software engineering experience in backend, infrastructure, or platform engineering.
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- Strong software engineering in Go or a similar language; track record designing, shipping, and operating production cloud services or infrastructure platforms.
- Deep expertise in at least one of Kubernetes, networking, cloud platforms, reliability engineering, or developer platforms; experience setting technical direction and leading cross-team work.
Nice to have
- EKS and ingress/CNI/service-mesh experience; observability with OpenTelemetry/Prometheus/Grafana.
- CI/CD and progressive delivery (GitHub Actions, Argo CD, canaries); experience leading migrations or adoption programs across teams.
Pay
CA$238,250 – CA$382,250 CAD base salary; $170,350 – $275,550 USD base salary
Tools
Go, Terraform, Argo CD, EKS, Envoy Gateway, Grafana Cloud, OpenTelemetry, Prometheus
AI focus
Shape safe, auditable, human-reviewed AI-assisted operational workflows, including alert enrichment, incident context gathering, runbook-assisted diagnosis and remediation recommendations, and onboarding assistants.
Model-written summary · the original posting is authoritative