Staff Software Engineer, AI Developer Tools

🔥 1 minute ago

🏄 California, Washington – Remote

🏄 California – Remote ☕ Washington – Remote

💵 $170.3k - $275.6k / year

⏰ Full Time

🔴 Lead

🤖 AI Engineer

👻 Ghost score 1%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Docker, Inc

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

☁️ SaaS

💰 $105M Series C on 2022-03

Consulting • SaaS

Docker, Inc is a company that simplifies the lives of developers by tackling the complexity of app development. They offer tools that allow developers to bring their ideas to life through containerization and orchestration, making the development process easier and more efficient. Docker's products, including Docker Desktop and Docker Hub, are widely adopted by millions of developers worldwide, enhancing workflows and providing an integrated development pipeline.

📋 Description

• Set technical direction and own architecture for AI-powered developer tools and the self-service AI developer tools platform • Turn ambiguous problems into requirements, plans, and staged decisions • Establish patterns and standards for LLM integration, agent development, and production AI systems • Shape deployment, observability, security, and operational capabilities for AI developer tools • Design reliable, scalable infrastructure for hosting AI agents and developer tools • Recommend AI technology, LLM provider, and agent orchestration strategies • Design, build, and operate production AI agents for code review, test generation, deployment diagnostics, and incident response • Build self-service platform capabilities that reduce time-to-production for new AI tools • Accelerate adoption of Claude Code and Codex across Docker engineering • Set reliability, security, performance, monitoring, incident response, SLO, and cost-management standards • Integrate AI developer tools with CI/CD, observability, and deployment systems • Participate in on-call rotation and improve alerts, runbooks, and tooling • Evaluate emerging AI/LLM technologies, developer tooling trends, and agent frameworks • Define measures of AI tool adoption, productivity gains, and developer satisfaction • Lead cross-team technical delivery with Infrastructure, Security, and Data • Mentor senior engineers and lead design and code reviews • Create reusable patterns, documentation, and architectural decision records • Help establish shared AI-assisted engineering workflows and controls

🎯 Requirements

• 8+ years of software engineering experience • Hands-on production experience building LLM-powered applications, AI agents, or AI-assisted developer tools • Strong understanding of LLM APIs including OpenAI and Anthropic • Prompt engineering experience • Agent orchestration framework experience • Experience designing scalable distributed systems and developer-facing platforms • Production experience with Kubernetes, GitOps deployment patterns, observability systems, and CI/CD pipelines • Proficiency in Go, Rust, Java, or Python; Go preferred • Experience designing developer tools, platform systems, or internal tools • Experience clarifying requirements and constraints with stakeholders • Experience leading cross-team initiatives and influencing without direct authority • Strong product and platform judgment • Clear written and spoken communication suited to a remote, async-first company • Experience mentoring experienced engineers • Ownership mentality and iterative delivery in ambiguous environments • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience • Experience with MCP or similar AI agent integration standards preferred • Background in developer productivity, DevOps, SRE, or platform engineering preferred • Contributions to open source AI tools, developer tooling, or platform engineering projects preferred • Experience evolving an internal platform into a widely adopted production-grade service preferred • Knowledge of security, compliance, and operational practices for production AI systems preferred • Experience with Terraform, Pulumi, AWS, GCP, or Azure preferred • Ability to work in the United States • May require participation in an on-call rotation outside standard business hours

🏖️ Benefits

• Equity for all full-time employees • Remote-first work from home • Flexible scheduling • Generous PTO • Quarterly Whaleness Days • End-of-year Whaleness break • Home office support • Technology stipend equivalent to US$100 net per month • Annual learning and development stipend for conferences, courses, certifications, and continued learning • 16 weeks of paid parental leave after six months of employment • Medical benefits • Retirement benefits • Paid holidays • Docker swag