Software Engineer, Docker

• 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

Desirable

• Reducing toil through automation, including AI-assisted and agentic operational workflows
• Building self-service onboarding and deployment workflows that reduce tickets and speed delivery
• Scaling Kubernetes foundations and evolving our traffic and ingress stack
• 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
• 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
• Own a component and deliver an improvement from design to production with measurable impact
• Join the on-call rotation and contribute effectively during your shifts
• 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