Digital Ocean

5 days ago

Senior Software Engineer II - Action Infrastructure - Action Runtime

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Build and operate the execution layer for AI agents, including tool execution environments and orchestration systems. Own features end to end for Action Infrastructure with high autonomy—designing, implementing, launching, and maintaining production systems. Create safe, scalable agent tooling infrastructure (e.g., MCP servers, tool schemas, authentication and secrets handling, rate limiting, and observability) while partnering across product and design. Improve quality through evaluations, telemetry, and production feedback loops.

Location: Seattle

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Independently own and ship product features within Action Infrastructure from planning through design, implementation, launch, operations, and maintenance.
•Build production-grade third-party agent tools and supporting infrastructure, including MCP servers, tool schemas, authentication and secrets handling, rate limiting, and safe execution boundaries.
•Create full-stack experiences for builders and operators to discover, configure, test, debug, and monitor agent tools.
•Define and improve quality bars using evaluations, golden tasks, telemetry, error analysis, model/tool selection experiments, and production feedback loops.
•Operate what you build: participate in on-call, debug multi-system production issues, lead incident diagnosis when needed, and turn learnings into durable improvements.

Pay and Benefits

Salary: USD 184,000 - 231,000 annually

Equity and Bonus:Equity

Perks:Learning BudgetEmployee AssistanceEquity

Key Requirements

•Senior-level experience designing, building, shipping, and operating production software systems with reliability, scale, security, or customer impact.
•Production experience with Go, TypeScript, and Python, with ability to work effectively across all three.
•Hands-on experience with agent and AI coding tools such as Claude Code, Codex, Cursor, or similar systems.
•Practical familiarity with agent tool design including MCP, tool schemas/contracts, tool and model selection, evaluations, observability, and failure analysis.
•Ability to turn ambiguous requirements into clear RFCs, architecture docs, and implementation plans with tradeoff decisions.

Experience:Production softwareAI agentsCloud systemsAgent tooling

Skills:Written communicationTechnical judgmentMentoringCross-functional collaboration

Languages:English

Tech Stack:GoTypeScriptPythonMCPAPIsOAuthObservabilitySLOsTelemetryTracing

Company Brief

Digital Ocean

Provides cloud infrastructure and developer-focused cloud services including scalable droplets, managed databases, Kubernetes, object storage, and networking to simplify deploying and managing applications for developers and small-to-medium businesses.

Industry: Cloud Computing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 250M to 500M

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: New York, United States

Founded: 2011

Glassdoor: 3.8

Website LinkedIn

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Digital Ocean

5 days ago

Senior Software Engineer II - Action Infrastructure - Action Runtime

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Location: Seattle

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Independently own and ship product features within Action Infrastructure from planning through design, implementation, launch, operations, and maintenance.
•Build production-grade third-party agent tools and supporting infrastructure, including MCP servers, tool schemas, authentication and secrets handling, rate limiting, and safe execution boundaries.
•Create full-stack experiences for builders and operators to discover, configure, test, debug, and monitor agent tools.
•Define and improve quality bars using evaluations, golden tasks, telemetry, error analysis, model/tool selection experiments, and production feedback loops.
•Operate what you build: participate in on-call, debug multi-system production issues, lead incident diagnosis when needed, and turn learnings into durable improvements.

Pay and Benefits

Salary: USD 184,000 - 231,000 annually

Equity and Bonus:Equity

Perks:Learning BudgetEmployee AssistanceEquity

Key Requirements

•Senior-level experience designing, building, shipping, and operating production software systems with reliability, scale, security, or customer impact.
•Production experience with Go, TypeScript, and Python, with ability to work effectively across all three.
•Hands-on experience with agent and AI coding tools such as Claude Code, Codex, Cursor, or similar systems.
•Practical familiarity with agent tool design including MCP, tool schemas/contracts, tool and model selection, evaluations, observability, and failure analysis.
•Ability to turn ambiguous requirements into clear RFCs, architecture docs, and implementation plans with tradeoff decisions.

Experience:Production softwareAI agentsCloud systemsAgent tooling

Skills:Written communicationTechnical judgmentMentoringCross-functional collaboration

Languages:English

Tech Stack:GoTypeScriptPythonMCPAPIsOAuthObservabilitySLOsTelemetryTracing

Company Brief

Digital Ocean

Industry: Cloud Computing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 250M to 500M

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: New York, United States

Founded: 2011

Glassdoor: 3.8

Website LinkedIn