---
title: 'Senior Software Engineer II - Action Infrastructure - Action Runtime at DigitalOcean'
canonical: 'https://feeny.ai/job/senior-software-engineer-ii-action-infrastructure-action-runtime-digitalocean-j7qggwrzwwh3'
type: 'job'
last_seen: '2026-09-08'
---

# Senior Software Engineer II - Action Infrastructure - Action Runtime at DigitalOcean

- **Company:** DigitalOcean
- **Location:** Seattle, WA
- **Posted:** 2026-07-17
- **Last confirmed live:** 2026-09-08
- **Apply:** https://www.digitalocean.com/careers/position/apply/?gh_jid=8059278

## Job description

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.

## What You'll Bring

- 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.

## Nice To Have

- 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.

Success In This Role Looks Like

- 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.

Compensation Range:

- $184,000 - $231,000

*This is a hybrid role

JR: 2026-8077

#LI-Hybrid

## Why You’ll Like Working for DigitalOcean

- 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.

## About DigitalOcean

## Company Overview
- **One-liner**: DigitalOcean provides a simple, scalable cloud platform for developers, startups, and SMBs, and is now building an AI-native cloud with inference and managed agent services.
- **Entity Type**: Public (NYSE: DOCN)
- **Headquarters**: New York, NY, USA
- **Founded**: 2012
- **Founders**: Ben Uretsky, Moisey Uretsky, Jeff Carr, Alec Hartman, Mitch Wainer

## Core Business
- **Primary industry**: Cloud computing, AI infrastructure
- **Target customers**: Developers (B2B), startups, and small-to-medium businesses (Digital Native Enterprises)
- **Mission**: “Simplify cloud and AI so builders can spend more time creating software that changes the world.” [digitalocean.com/about](https://www.digitalocean.com/about)

## Products & Services
- **Droplet**: Simple, scalable virtual machines for any workload.
- **Managed Kubernetes**: Container orchestration with easy management.
- **App Platform**: Fully managed platform for building, deploying, and scaling apps.
- **Inference Engine**: AI inference service offering over 70 models (open-weight and frontier), with serverless, dedicated, or batch inference and an Inference Router for cost optimization. [digitalocean.com](https://www.digitalocean.com/)
- **Managed Agents**: Production-ready AI agents that run on the same integrated stack as inference and infrastructure, avoiding cross-vendor hops and egress fees.
- **Core Infrastructure**: 20 data centers across 11 regions, air- and liquid-cooled GPU clusters (NVIDIA H100/H200/Blackwell, AMD Instinct MI300X/MI325X/MI350X) with 400G RoCE fabric.

## Market Standing
- **Valuation/Market Cap**: Not publicly available in provided sources (public company; check NYSE: DOCN)
- **Key Metric**: Over 640,000 customers globally; more than 1,500 employees (as of early 2026). [digitalocean.com/blog/why-2026-is-the-year-to-join-digitalocean](https://www.digitalocean.com/blog/why-2026-is-the-year-to-join-digitalocean)
- **Notable Investors/Partners**: As a public company, its shareholders include institutional investors. No specific partners listed in recent company materials.
- **Growth Signals**: Rapid headcount growth (1,500+ employees), strong customer base expansion (640k+), and a strategic pivot to an “agentic cloud” with new AI products in public preview.

## Competitive Advantages
- **Simplicity**: Known for developer-friendly interfaces and documentation that reduce complexity compared to larger cloud providers.
- **Integrated AI Stack**: Covers five layers (infrastructure, inference, agents, etc.) in one platform, eliminating cross-vendor integration costs and egress fees.
- **Cost-Effectiveness**: Transparent pricing and competitive latency (e.g., 3.9× higher output speed vs. AWS Bedrock, independently benchmarked on DeepSeek V3.2). [digitalocean.com](https://www.digitalocean.com/)
- **Community**: Strong open-source and developer community contributions.

## Strategic Focus
- Building the “comprehensive agentic cloud” – a fully integrated stack for AI-powered applications.
- Expanding inference and managed agent capabilities to attract digital native enterprises.
- Investing in GPU infrastructure (NVIDIA and AMD) and global data center expansion.

## Why Work Here
- **Work Model**: Offers fully remote, hybrid (three days in office), and in-office options depending on role and location. Offices in the US (Austin, Boston, Denver, SF Bay Area, Seattle), India (Hyderabad), and Pakistan (Karachi). [digitalocean.com/careers](https://www.digitalocean.com/careers)
- **Culture**: Values are Fast, Simple, Bold, Proud, Love, Community, and Growth. Emphasis on ownership, bias for action, and thinking big.
- **Compensation**: Competitive base salaries at market midpoint, annual bonus targets, performance equity grants, and an Employee Stock Purchase Plan (ESPP).
- **Benefits**: Generous wellness benefits, flexible PTO, above-average parental leave, health insurance (medical, dental, vision, mental health), 401(k) with safe harbor match, life insurance, and income protection.
- **Professional Development**: Unlimited access to LinkedIn Learning, education reimbursement for courses/certifications, book program, conference attendance, and internal learning opportunities.
- **Interview Process**: Human resume review (no bots), recruiter video call, hiring manager interview, then team interviews. Accommodations available. [digitalocean.com/careers](https://www.digitalocean.com/careers)
- **Perks**: Monthly internet/phone stipend, wellness stipend, home office setup allowance, milestone and anniversary gift programs, employee giving match via Groundswell.

## Sources
1. [DigitalOcean Careers Page](https://www.digitalocean.com/careers)
2. [DigitalOcean About Page](https://www.digitalocean.com/about)
3. [DigitalOcean Product (AI-Native Cloud)](https://www.digitalocean.com/)
4. [Why 2026 is the Year to Join DigitalOcean](https://www.digitalocean.com/blog/why-2026-is-the-year-to-join-digitalocean)
5. [DigitalOcean Open Roles](https://www.digitalocean.com/careers/open-roles)

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