Staff Software Engineer, Infrastructure

Search for jobsLog in / Sign upStaff Software Engineer, Infrastructureat GableHybridSeattle, Washington, United StatesEngineeringFull-timePosted 9 days agoShare jobApply nowDescriptionStaff Software Engineer, Infrastructure Location: Seattle, WA - HybridBase Salary Range: $210K - $250K (depending upon expertise) + equityGable 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.The RoleThis 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.ResponsibilitiesOwn deployment, infrastructure, and DevOps systems end-to-endBuild and improve CI/CD pipelines that enable fast, reliable releasesWrite tooling and automation for infrastructure, operations, and integrationsContribute to backend systems and software engineering projects where infrastructure and application code intersectImprove local development environments, internal tooling, and developer workflowsBuild monitoring, alerting, and observability that helps engineers diagnose real issues quicklyStrengthen reliability, security, and operational practices across the stackPartner closely with engineers across the company to design pragmatic systems that scaleDebug hard problems across code, infrastructure, and runtime behaviorUse AI where it meaningfully improves engineering speed, tooling, or operational efficiencyRequirements7+ years of hands-on experience owning infrastructure, DevOps, platform, or production systems4+ years (the more the better) of software engineering experience with strong backend engineering fundamentals, and experience shipping production codeStrong cloud experience, ideally AWSExperience with Terraform or similar infrastructure-as-code toolsSolid CI/CD experience, including testing and deployment workflowsStartup experience, ideally in a Series A–C environmentExperience with observability, monitoring, and alerting in production systemsStrong PostgreSQL and DynamoDB operational experience, including performance, backup, and recoveryComfort making good technical decisions in ambiguity and moving with urgencyTrack record of improving developer productivity, deployment velocity, reliability, or operational qualityPreferred SkillsExperience building internal developer platforms or self-serve engineering workflowsExperience with cloud security or compliance practicesBackground in data infrastructure, developer tools, or technical B2B SaaSFamiliarity with AI-assisted engineering workflowsBenefitsBe part of a pioneering team that is redefining the data industry.Work on cutting-edge technology with the opportunity to make a significant impact.Collaborate with a talented and passionate team of engineers and industry experts.Enjoy a dynamic, fast-paced, and supportive work environment.Competitive compensation package and medical, dental, and vision benefits - free for employees401kUnlimited PTOCommuter perksIf you are passionate...