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. This team's mission is to build the execution layer for AI agents: tool execution environments and orchestration systems that let agents run code and take actions safely, fast, and at scale. You will help define what "good" looks like for agent execution at DigitalOcean — isolation guarantees, cold-start latency, throughput under concurrent agent load — then design, build, ship, measure, and operate those systems end to end.
This is a senior individual contributor role for a builder who can independently move from ambiguous customer and business needs to product planning, design and UX collaboration, technical design, production implementation, launch, and long-term maintenance. You should be comfortable working full-stack, partnering across product, design, and engineering, and making pragmatic technical choices in fast-moving agent tooling ecosystems.
What You'll Do- Independently own and ship product features within Action Infrastructure from planning through design, implementation, launch, operations, and maintenance with high autonomy.
- Build 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.
- Create 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.
- Guide technical decisions for a group of engineers, review code and architecture, and raise the team's bar for reliability, maintainability, and operational excellence.
- 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.
- 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.
- Ability 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.
- A track record of mentoring or coaching other engineers through technical decision-making, code quality, architecture, and written/verbal communication.
- 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.
- DigitalOcean ships Toolbox capabilities and third-party agent tools that are useful, reliable, observable, and safe enough for real customer workflows.
- Product, design, UX, and engineering partners can rely on you to turn ambiguous agent-tooling opportunities into independently shipped product features.
- The team has clearer quality standards for agent tools, including eval coverage, operational metrics, and production feedback loops.
- Incidents, defects, and flaky tool behavior result in durable improvements to architecture, testing, and operations.
- Other engineers make better technical decisions because of your reviews, documentation, coaching, and example.
- $184,000 - $231,000
*This is a hybrid role
JR: 2026-8077
#LI-Hybrid
- We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
- We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
- We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
- We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
- DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.
Skills Required
- 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 (or deep expertise in one or two with cross-language capability).
- Hands-on experience building with or deeply using agent and AI coding tools (e.g., Claude Code, Codex, Cursor) or similar systems.
- Practical familiarity with agent tool design including MCP, tool contracts/schemas, tool selection, model selection, evals, observability, and failure analysis.
- Full-stack ownership mindset: build backend services and APIs and shape developer/operator workflows end to end.
- Strong production engineering instincts for cloud systems: SLOs, incident response, monitoring, tracing, capacity, deploy safety, auth, secrets, abuse prevention, supportability.
- Ability to turn ambiguous requirements into clear RFCs, architecture docs, implementation plans, milestones, and tradeoff decisions.
- Experience influencing cross-functional projects through clear written communication and technical judgment.
- Track record of mentoring or coaching other engineers on technical decision-making, code quality, and architecture.
- 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 (regression suites, offline/online evals, quality scoring).
- Familiarity with third-party API reliability patterns: idempotency, pagination, retries/backoff, webhook verification, OAuth, quota handling.
- Contributions to agent tooling standards, open-source tools, developer communities, or technical talks.
DigitalOcean Compensation & Benefits Highlights
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Healthcare Strength — Health coverage is described as market‑leading across medical, dental, vision, and mental‑health, with company‑paid life and income‑protection. This positions core healthcare and protection benefits as a standout element of the package.
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Parental & Family Support — Parental leave is characterized as above‑average, frequently highlighted alongside a phased return‑to‑work program. This indicates strong support for new parents beyond baseline policies.
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Equity Value & Accessibility — The package includes recurring equity grants and access to an Employee Stock Purchase Plan. This provides meaningful ownership opportunities alongside cash compensation.
DigitalOcean Insights
What We Do
DigitalOcean is the Inference Cloud — a full-stack, production-ready cloud platform built to run AI applications with predictable performance, sustainable economics, and radically simpler operations at scale. We are built for teams turning AI into real products — not just training models. Our advantage is not fewer features, but fewer failure modes when operating AI at scale — combining minimal operational overhead, predictable cost efficiency, and a full-stack cloud that works as a system. Hyperscalers are broad by design. Neoclouds are infrastructure-first. DigitalOcean is inference-first — with a real cloud underneath. It combines inference-optimized compute, managed inference software, and integrated cloud capabilities that reduce operational burden for teams running real workloads. Inference is the foundation—not the boundary. Everything else builds on top of it.
Why Work With Us
At DO, we do career-defining work. We innovate with AI and build cutting-edge tech. Our rewards to match that intensity - to motivate you, recognize your impact, and give you what you need to thrive. If you have a growth mindset, like to think big and bold, and are energized by the fast-paced environment, you'll find your place here.
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Employees work remotely.
We commit to both remote work and in-person collaboration. These ways of working are dependent on specific roles and are mutually agreed upon by employees. In the US, we are mainly remote. In our APAC locations, we have a hybrid in-office approach.
