Senior Software Engineer, AI Developer Tools

This is a fully remote position, open to applicants in California, +1 more state.

📋 Description

• Design, develop, and maintain production AI agents aimed at enhancing developer productivity, such as code review assistants, test generators, deployment diagnostics, and automation for incident response.

• Integrate LLM providers, agent orchestration frameworks, and MCP servers into dependable tools.

• Create systems that assist Docker engineers in adopting AI-native development tools.

• Establish integrations between AI developer tools and CI/CD pipelines, observability platforms, and deployment systems.

• Implement tools to measure adoption rates, effectiveness, and developer satisfaction.

• Enhance self-service platform capabilities including ArgoCD/GitOps deployment pipelines, Grafana observability integration, security controls, and cost management.

• Shorten the time-to-production for new products from weeks to days.

• Contribute to the reliability, security, and performance standards for AI systems, including SLOs, monitoring, and incident response protocols.

• Guide features and services from initial requirements through to production.

• Compose design documents and engage in design reviews.

• Review code and disseminate knowledge among the team.

• Participate in the on-call rotation, enhancing alerts, runbooks, and tooling.

• Adhere to AI-assisted engineering practices and validate AI-generated outputs.

• Collaborate with Infrastructure, Security, Data, product engineering, and platform teams.

• Assist junior engineers in understanding the team's tools, patterns, and practices.

• Monitor emerging AI/LLM technologies and agent frameworks, sharing valuable insights.

⛳️ Requirements

• Over 6 years of software engineering experience in building and managing production systems.

• Practical experience in constructing LLM-powered applications, AI agents, or AI-assisted developer tools.

• Proficient knowledge of LLM APIs, including those from OpenAI and Anthropic.

• Understanding of prompt engineering, agent orchestration frameworks, and the practical applications of AI in software development workflows.

• Experience in developing and managing scalable backend services, distributed systems, or developer-facing platforms.

• Familiarity with cloud-native infrastructure, Kubernetes, CI/CD pipelines, and observability systems.

• Proficient in programming languages such as Go, Rust, Java, or Python, with a preference for Go.

• Strong foundation in software engineering principles.

• Experience in creating developer tools, platform systems, or internal tools utilized by other engineers.

• Good product judgment with the ability to assess developer experience and technical trade-offs.

• Excellent written and verbal communication skills tailored to a remote, asynchronous workplace.

• A strong sense of ownership and a proactive approach to action and iterative delivery in dynamic, fast-paced settings.

• Capable of working independently in a distributed, remote-first team environment.

• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

• Preferred experience with MCP or similar AI agent integration standards.

• Background in developer productivity, DevOps, SRE, or platform engineering is a plus.

• Contributions to open-source AI tools, developer tooling, or platform engineering projects are favored.

• Familiarity with GitOps deployment patterns such as ArgoCD or Grafana-based observability is preferred.

• Understanding of security and operational practices for production AI systems is advantageous.

• Experience with infrastructure-as-code solutions like Terraform or Pulumi and major cloud platforms such as AWS, GCP, or Azure is preferred.

• Must possess legal authorization to work in the United States.

🏝️ Benefits

• Equity for all full-time employees.

• Remote-first work from home policy.

• Flexible scheduling options.

• Generous paid time off (PTO).

• Quarterly Whaleness Days.

• Year-end Whaleness break.

• Support for home office setup.

• Technology stipend of US$100 net per month.

• Annual learning and development stipend for conferences, courses, certifications, and ongoing education.

• 16 weeks of paid parental leave after six months of employment.

• Medical benefits.

• Retirement benefits.

• Paid holidays.

• Docker merchandise.