Staff Software Engineer, Billing

Seattle, WA · Remotefull timeRemote

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senior

$170k–$276k

H1B: no

Docker Staff Software Engineer at Docker owns and evolves infrastructure supporting Billing Platform services including compute, storage, networking, CI/CD, and observability. The role involves designing infrastructure for AI-agent-assisted workflows and leading incident response for billing system issues.

Responsibilities

The Billing Platform Engineering team owns the systems that make Docker's commercial model real. You'll work on problems like:
How do we design infrastructure that makes AI-generated deployments safe to ship and easy to roll back?
How do we instrument billing systems so that failures — billing miscalculations, entitlement gaps, payment errors — are detected immediately and unambiguously?
How do we build infrastructure that scales with usage-based billing workloads without manual intervention?
How do we make the developer experience on this team faster and more reliable — local environments, CI/CD pipelines, deployment tooling?
Own and evolve the infrastructure supporting Billing Platform services: compute, storage, networking, CI/CD, and observability
Design and maintain IaC (Terraform) for billing system infrastructure on AWS; set module patterns and standards for the team
Build and own observability systems — metrics, logging, alerting — with a focus on billing accuracy and payment reliability
Define deployment patterns and runbooks that work well in an AI-agent-assisted development workflow: clear rollback procedures, safe promotion gates, automated validation
Partner with software engineers on service design — bringing infrastructure constraints and operational requirements into the conversation before code is written
Identify systemic risks and drive improvements that span team or organizational boundaries
Lead incident response for billing system issues. This role may require participation in an on-call rotation to provide support outside of standard business hours, including evenings, weekends, and holidays, as needed.

Qualification

8+ years in platformDeep AWS expertiseExpert-level TerraformSecurity-first mindsetStrong written EnglishBachelor’s degree in Computer ScienceWhat sets you apart

Required

8+ years in platform, infrastructure, or SRE roles supporting production SaaS systems at scale
Deep AWS expertise: ECS or EKS, RDS (Postgres preferred), networking, IAM, cost management — you've operated these systems under real load and real incidents
Expert-level Terraform; you've designed reusable module patterns and set standards others follow
Experience building and owning observability stacks (Datadog, Grafana, or similar) at an organizational level — not just using them
Strong familiarity with CI/CD systems — Jenkins, GitHub Actions, or equivalent — including pipeline design and developer experience ownership
Kubernetes at an operational and architectural level
A track record of identifying systemic risks and driving improvements that span team or organizational boundaries
Security-first mindset: threat modeling, blast radius analysis, least-privilege by default, audit trails as a design requirement
Strong written English; at Staff level, written communication is how you scale your influence across teams
Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
What sets you apart
You don't wait for problems to be handed to you — you find them, frame them, and drive the solution. You've operated at a scope where your decisions affected multiple teams or systems, and you know how to build consensus and move work forward without direct authority. You've thought seriously about what infrastructure needs to look like when AI agents are generating and shipping code — safe deployment patterns, strong observability, clean rollback — and you want to help define that standard here. Experience with billing, payments, or financial systems infrastructure is a meaningful plus.