Gable
data
StaffSoftwareEngineer,Infrastructure
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“Staff Software Engineer, Infrastructure at Gable. Skills: DevOps, infrastructure, software engineering, CI/CD, observability, automation, cloud infrastructure, backend systems. Own deployment, infrastructure, and DevOps systems end-to-end. Build and improve CI/CD pipelines that enable fast, reliable releases”
Industry & Context.
solving product-adjacent technical problems; ability to go deep when something breaks or needs to scale; debug hard problems across code, infrastructure, and runtime behavior
What They're Looking For.
Must Have
7+ years of hands-on experience owning infrastructure, DevOps, platform, or production systems, 4+ years of software engineering experience with backend engineering fundamentals, and experience shipping production code, 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, 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 Have
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
What You'll Do.
and DevOps systems end-to-end
Build and improve CI/CD pipelines that enable fast
Write tooling and automation for infrastructure
Contribute to backend systems and software engineering projects where infrastructure and application code intersect
Improve local development environments
and developer workflows
and observability that helps engineers diagnose real issues quickly
Strengthen reliability
and operational practices across the stack
Debug hard problems across code
Use AI where it meaningfully improves engineering speed
or operational efficiency
How You'll Work.
Team & Collaboration
Partner closely with engineers across the company to design pragmatic systems that scale
Full Job Description
**Staff Software Engineer, Infrastructure ** **Location:** Seattle, WA - Hybrid **Base Salary Range:** $210K - $250K (depending upon expertise) + equity 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. **The Role** 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. **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
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