Staff Software Engineer, Infrastructure

Gable•Seattle, WA

9h•Hybrid

About The Position

Gable helps engineering teams put guardrails around data before problems reach production. We bring data contracts, code-level lineage, and CI/CD enforcement into the development lifecycle so teams can move faster with more confidence. We’re an early-stage company building in a complex space, and this role is intentionally broad. We need a staff-level engineer who can own DevOps and infrastructure while still contributing as a strong software engineer. Someone who is autonomously jumping between backend systems, deployment workflows, developer tooling, and production issues — and is energized by that range rather than boxed in by it. This is a high-ownership role for an experienced software engineer with real infrastructure depth. You might have started in backend, full-stack, or platform engineering and gradually taken on DevOps or infrastructure responsibility, but you still like writing code and solving product-adjacent technical problems. You’ll work across CI/CD, observability, automation, databases, Docker, cloud infrastructure, and internal tooling. You do not need to be the world’s best expert in every domain. You do need strong judgment, a bias for action and making decisions, and the ability to go deep when something breaks or needs to scale.

Requirements

7+ years of hands-on experience owning infrastructure, DevOps, platform, or production systems
4+ years (the more the better) of software engineering experience with strong backend engineering fundamentals, and experience shipping production code
Strong cloud experience, ideally AWS
Experience with Terraform or similar infrastructure-as-code tools
Solid CI/CD experience, including testing and deployment workflows
Startup experience, ideally in a Series A–C environment
Experience with observability, monitoring, and alerting in production systems
Strong PostgreSQL and DynamoDB operational experience, including performance, backup, and recovery
Comfort making good technical decisions in ambiguity and moving with urgency
Track record of improving developer productivity, deployment velocity, reliability, or operational quality

Nice To Haves

Experience building internal developer platforms or self-serve engineering workflows
Experience with cloud security or compliance practices
Background in data infrastructure, developer tools, or technical B2B SaaS
Familiarity with AI-assisted engineering workflows

Responsibilities

Own deployment, infrastructure, and DevOps systems end-to-end
Build and improve CI/CD pipelines that enable fast, reliable releases
Write tooling and automation for infrastructure, operations, and integrations
Contribute to backend systems and software engineering projects where infrastructure and application code intersect
Improve local development environments, internal tooling, and developer workflows
Build monitoring, alerting, and observability that helps engineers diagnose real issues quickly
Strengthen reliability, security, and operational practices across the stack
Partner closely with engineers across the company to design pragmatic systems that scale
Debug hard problems across code, infrastructure, and runtime behavior
Use AI where it meaningfully improves engineering speed, tooling, or operational efficiency