Staff Software Engineer, Infrastructure

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, 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

• 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

Preferred Skills

• 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

• Be 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 employees
• 401k
• Unlimited PTO
• Commuter perks

If you are passionate about the intersection of software engineering and data, and eager to contribute to the future of data management and collaboration, we would love to hear from you.

Gable.ai is a proud Equal Opportunity Employer

We are committed to providing equal employment opportunities to qualified applicants and do not discriminate based on race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.