Senior Software Engineer II - Action Infrastructure - Action Runtime

About the role

Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world. We are looking for a Senior Software Engineer II for the Action Runtime team.

Responsibilities

• Independently own and ship product features within Action Infrastructure from planning through design, implementation, launch, operations, and maintenance with high autonomy.
• Create production-grade third-party agent tools and supporting infrastructure, including MCP servers, tool schemas, authentication and secrets handling, rate limiting, observability, and safe execution boundaries.
• Build full-stack experiences for builders and operators to discover, configure, test, debug, and monitor agent tools.
• Collaborate closely with product, design, and UX partners to make agent-tool workflows understandable, trustworthy, and efficient for builders and operators.
• Define and improve quality bars for tools using evaluations, golden tasks, telemetry, error analysis, model and tool selection experiments, and production feedback loops.
• Translate business and customer requirements into clear, minimally complex technical designs that multiple teams can understand and execute against.
• Partner with product managers, designers, infrastructure teams, security, support, and other engineering teams to deliver reliable customer-facing capabilities.
• Operate what you build: participate in on-call practices, debug multi-system production issues, lead incident diagnosis when needed, and turn operational learnings into durable improvements.
• Track emerging agent tooling standards and practices, especially around MCP, evals, tool-use reliability, agent UX, and AI coding/agent environments, and apply them when they create customer or business value.

Requirements

Senior-level experience designing, building, shipping, and operating production software systems with meaningful reliability, scale, security, or customer impact.

Production experience with Go, TypeScript, and Python, or deep expertise in one or two with the ability to work effectively across all three.

Hands-on experience building with or deeply using agent and AI coding tools such as Claude Code, Codex, Cursor, or similar systems.

Practical familiarity with agent tool design, including MCP, tool contracts/schemas, tool selection, model selection, agent evaluations, observability, and failure analysis.

Full-stack ownership mindset: you can build backend services and APIs, shape developer or operator workflows, and make the product experience work end to end.

Strong production engineering instincts for cloud systems: SLOs, incident response, monitoring, tracing, capacity, deploy safety, auth, secrets, abuse prevention, and supportability.

Able to turn ambiguous requirements into clear RFCs, architecture docs, implementation plans, milestones, and tradeoff decisions.

Experience influencing cross-functional projects through clear written communication, technical judgment, and close partnership with PMs, designers, managers, and peer engineering teams.

Mentoring or coaching other engineers through technical decision-making, code quality, architecture, and written/verbal communication.

Qualifications

Experience building tool ecosystems, integration platforms, developer platforms, workflow automation, or cloud control-plane systems.

Experience evaluating LLM or agent behavior in production-like environments, including regression suites, offline/online evals, or quality scoring.

Familiarity with third-party API reliability patterns such as idempotency, pagination, retries, backoff, webhook verification, OAuth, quota handling, and vendor failure modes.

Contributions to agent tooling standards, open-source tools, developer communities, or technical talks.

Skills

Senior-level experience designing, building, shipping, and operating production software systems with meaningful reliability, scale, security, or customer impact.

Production experience with Go, TypeScript, and Python, or deep expertise in one or two with the ability to work effectively across all three.

Hands-on experience building with or deeply using agent and AI coding tools such as Claude Code, Codex, Cursor, or similar systems.

Practical familiarity with agent tool design, including MCP, tool contracts/schemas, tool selection, model selection, agent evaluations, observability, and failure analysis.

Full-stack ownership mindset: you can build backend services and APIs, shape developer or operator workflows, and make the product experience work end to end.

Strong production engineering instincts for cloud systems: SLOs, incident response, monitoring, tracing, capacity, deploy safety, auth, secrets, abuse prevention, and supportability.

Able to turn ambiguous requirements into clear RFCs, architecture docs, implementation plans, milestones, and tradeoff decisions.

Experience influencing cross-functional projects through clear written communication, technical judgment, and close partnership with PMs, designers, managers, and peer engineering teams.

Mentoring or coaching other engineers through technical decision-making, code quality, architecture, and written/verbal communication.

Benefits

Competitive salary range: $184,000 - $231,000.

Opportunities for professional development, including access to LinkedIn Learning courses and participation in the Employee Stock Purchase Program.

Employee Assistance Program, local employee meetups, flexible time off policy, and other benefits designed to support your well-being.

Equal opportunity employer committed to diversity and inclusion.

Pay

$184,000 - $231,000

Schedule

Hybrid role