Member of Technical Staff, Software Engineer

Inception • San Francisco, CA

8d

About The Position

We seek experienced software engineers to build the platforms, tooling, and
infrastructure that make every team at Inception more productive. You'll own
high-leverage systems — CI/CD pipelines, development environments, internal
tools, deployment automation, and observability — that directly accelerate our
ability to ship models and products. This role is ideal for engineers who care
deeply about developer experience and want to work at a company where the
software you build is a force multiplier on a world-class research and
engineering org.

Requirements

• BS/MS/PhD in Computer Science or a related field (or equivalent experience).
• 5+ years of experience in software engineering, developer tooling, platform engineering, DevOps, or infrastructure roles.
• Strong proficiency in Python; comfort with at least one systems language (Go, Rust, C++) is a plus.
• Deep experience with CI/CD systems (GitHub Actions, Jenkins, BuildKite) and deployment automation.
• Familiarity with Kubernetes, Docker, and container orchestration in production environments.
• Experience with infrastructure as code and cloud platforms (AWS, Azure).
• A strong empathy for developer experience — you care about making other engineers' lives easier.

Nice To Haves

• Experience supporting ML or GPU-intensive workloads (training clusters, inference pipelines, large artifact management).
• Familiarity with monitoring and observability stacks.
• Experience building or maintaining monorepo tooling, build caching, or remote execution systems.
• Experience with testing strategies for ML systems (nondeterminism, regression testing, evaluation-driven validation).
• Familiarity with secrets management, access control, and security best practices for engineering infrastructure.
• Experience scaling developer tooling at a fast-growing startup or engineering organization.

Responsibilities

• Design, build, and maintain CI/CD pipelines that enable fast, reliable, and safe deployments across the stack.
• Create and maintain development environments, tooling, and workflows that minimize friction for engineers.
• Build internal tools and dashboards for experiment tracking, resource management, and operational visibility.
• Design infrastructure as code, deployment automation, and cloud resource management.
• Instrument systems for observability — logging, metrics, tracing, and alerting — so teams can debug and iterate quickly.
• Establish and promote engineering best practices around testing, code review, release management, and incident response.
• Establish and maintain security practices across the engineering stack, including secrets management and access controls.
• Collaborate across research, ML infrastructure, and product teams to understand pain points and prioritize high-impact improvements.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level