Senior Software Engineer, AI Developer Tools

🔥 1 minute ago

🏄 California, Washington – Remote

🏄 California – Remote ☕ Washington – Remote

💵 $160.9k - $260.7k / year

⏰ Full Time

🟠 Senior

🤖 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

• Design, build, and operate production AI agents for developer productivity, including code review assistants, test generators, deployment diagnostics, and incident response automation • Integrate LLM providers, agent orchestration frameworks, and MCP servers into reliable tools • Build systems that help Docker engineers adopt AI-native development tools • Build integrations between AI developer tools and CI/CD pipelines, observability platforms, and deployment systems • Instrument tools to measure adoption, effectiveness, and developer satisfaction • Build and improve self-service platform capabilities including ArgoCD/GitOps deployment pipelines, Grafana observability integration, security controls, and cost management • Reduce time-to-production for new products from weeks to days • Contribute to reliability, security, and performance standards for AI systems, including SLOs, monitoring, and incident response • Take features and services from requirements through production • Write design documents and participate in design reviews • Review code and share knowledge with the team • Participate in the on-call rotation and improve alerts, runbooks, and tooling • Follow AI-assisted engineering practices and validate AI-generated output • Collaborate with Infrastructure, Security, Data, product engineering, and platform teams • Help newer engineers learn the team's tools, patterns, and practices • Track emerging AI/LLM technologies and agent frameworks and share useful findings

🎯 Requirements

• 6+ years of software engineering experience building and operating production systems • Hands-on experience building LLM-powered applications, AI agents, or AI-assisted developer tools • Working knowledge of LLM APIs including OpenAI and Anthropic • Knowledge of prompt engineering, agent orchestration frameworks, and practical AI applications in software development workflows • Experience building and operating scalable backend services, distributed systems, or developer-facing platforms • Experience with cloud-native infrastructure, Kubernetes, CI/CD pipelines, and observability systems • Proficiency in Go, Rust, Java, or Python; Go preferred • Strong software engineering fundamentals • Experience building developer tools, platform systems, or internal tools used by other engineers • Good product judgment and ability to evaluate developer experience and technical trade-offs • Clear written and spoken communication suited to a remote, async-first company • Ownership mentality and bias for action and iterative delivery in ambiguous, fast-moving environments • Comfortable working autonomously in a distributed, remote-first team • 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 with GitOps deployment patterns such as ArgoCD or Grafana-based observability preferred • Familiarity with security and operational practices for production AI systems preferred • Experience with infrastructure-as-code such as Terraform or Pulumi and major cloud platforms such as AWS, GCP, or Azure preferred • Must be legally authorized to work in the United States

🏖️ 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