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.
DigitalOcean is building the infrastructure that enables developers to build, run, and scale AI-powered applications and autonomous coding agents. As a Senior Software Engineer on the MARS (Managed Agent Runtime Services) team, you will help build a production-grade platform for running coding agents and agentic workflows securely, reliably, and at scale.
You will design and implement core components of our managed agent runtime, including agent framework integrations, execution environments, control-plane APIs, event-driven infrastructure, and developer-facing APIs and tools. You will work across distributed systems, cloud infrastructure, and emerging agentic AI technologies to make it easy for developers to build sophisticated agents without having to manage the underlying infrastructure.
We are looking for a strong engineer who combines deep software engineering fundamentals with pragmatic architectural judgment, end-to-end ownership, and a passion for simplifying complex technology for developers.
What You’ll Do- Build the managed agent platform: Design, implement, and operate core services for provisioning, executing, managing, and monitoring AI coding agents and agentic workloads.
- Develop agent framework integrations: Build and maintain integrations with frameworks and runtimes such as OpenAI Codex, Claude Code, CrewAI, and LangGraph, as appropriate to the product roadmap.
- Design distributed systems: Develop scalable, fault-tolerant services and APIs for agent sessions, lifecycle management, execution orchestration, and asynchronous event processing.
- Build secure execution environments: Collaborate on sandbox and microVM-based execution, isolation, resource limits, secrets management, network controls, and secure interactions between agents and external services.
- Enable developer workflows: Build APIs, CLI integrations, SDK-compatible interfaces, and reusable examples that help developers integrate agents, tools, triggers, and external systems into their applications.
- Improve observability and reliability: Instrument services and agent executions with logs, metrics, traces, and actionable events. Drive improvements in debugging, incident response, performance, and service-level objectives.
- Own features end to end: Translate product requirements into technical designs, implementation plans, tests, production rollouts, and operational support.
- Drive technical excellence: Lead design discussions, conduct thoughtful code reviews, improve engineering practices, and proactively address technical debt and operational risks.
- Collaborate across teams: Partner with product management, infrastructure, security, inference, and developer experience teams to deliver cohesive customer experiences.
- Explore emerging agent capabilities: Evaluate and prototype agent orchestration, multi-agent workflows, tool execution, human-in-the-loop controls, and usage policies, turning promising ideas into production-ready capabilities.
- Distributed Systems Mastery: 8+ years of professional software engineering experience working on microservices, messaging systems, databases, and infrastructure as code, with a heavy emphasis on building large-scale SaaS or PaaS products using Go or similar backend languages.
- AI/ML Domain Knowledge: Hands-on experience integrating with LLMs or multimodal models, creating, managing & operating Agentic workloads for high scale customers - managing complex multi-day agent session lifecycles, pause/resume transitions, fan-out live agent token streams from agents directly to developer CLI and Web UI clients using Kafka, SSE, sub-second responsiveness for inline Human-in-the-Loop (HITL) approvals and state transitions are constructs you have already built or have a working knowledge of.
- API & Proxy Expertise: Proven experience building high-throughput REST/gRPC APIs, custom reverse proxies, or network routers handling concurrent connection scaling.
- Orchestration & State Management: Practical experience with cluster schedulers (Kubernetes, Nomad), service meshes, or distributed key-value stores (Redis, Consul, Etcd) for real-time state tracking.
- Data Layer Architecture: Strong experience modeling application state in relational dbs like PostgreSQL or MySQL and designing high-volume telemetry ingestion pipelines using data stores like Snowflake, ClickHouse etc.
- Product-First Mindset: Experience building products designed for other developers (APIs, SDKs, Cloud Consoles) with a deep empathy for developer workflows and latency constraints.
- Cloud Operations: Proven experience shipping customer-facing software products and running critical services in a high-scale environment similar to DigitalOcean.
- Preferred Attributes: Familiarity with the unique orchestration challenges of Agentic AI, LLM frameworks (LangGraph, OpenAI Agents SDK, CrewAI), Model Context Protocol (MCP), or Human-in-the-Loop (HITL) primitives.
- $167,000 - $209,000
*This is a hybrid role
JR: 2026-7985
#LI-Hybrid
- We innovate with purpose. You’ll be a part of a cutting-edge technology company with a high-growth trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As part of our team, you’ll embody our "Shark" mindset: bold, ambitious, and scrappy. You'll lead with a bias for action and take true ownership of our products, customer success, and team culture.
- We prioritize career development. At DigitalOcean, you’ll do the best work of your career. You will join a community of exceptional talent, collaborating closely with some of the brightest and most interesting people in the industry. We are a high-performance and fast-paced organization that will always challenge you to think big. Our talent development team prioritizes your professional development and provides resources to support your growth. We provide employees with reimbursement for relevant conferences, training, and education, subject to company policy.
- We care about your well-being. We take a comprehensive approach to our total rewards packages because we know different things drive different people. Our benefits are designed to support you and may include flexible time off, local team meetups, and mental health and well being support. Our benefits philosophy is consistent globally, but specific benefits and eligibility vary by location to reflect local needs and regulations.
- We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. Eligible employees may also receive equity compensation, which may include a new hire equity grant and, in participating countries, the opportunity to participate in our Employee Stock Purchase Program. Equity awards are subject to approval and the terms of the applicable plan.
- Non-sales roles: In addition to base salary, this role is eligible to participate in DigitalOcean’s annual bonus plan and may be eligible for a new hire equity grant, subject to plan terms and local eligibility. Bonus amounts depend on company and individual performance.
- Sales roles (sales compensation eligible): In addition to base salary, this role may be eligible to earn incentive compensation under the applicable sales compensation plan and may be eligible for a new hire equity grant, subject to plan terms and local eligibility.
- DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, sex, disability, protected veteran status, or any other characteristic protected by applicable law.
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
- 8+ years of professional software engineering experience
- Experience building microservices, messaging systems, databases, and infrastructure as code
- Experience building large-scale SaaS or PaaS products using Go or similar backend languages
- Hands-on experience integrating with LLMs or multimodal models
- Experience creating, managing, and operating high-scale agentic workloads
- Experience managing complex multi-day agent session lifecycles, pause/resume transitions, live token streaming, and human-in-the-loop approvals
- Experience building high-throughput REST or gRPC APIs, custom reverse proxies, or network routers
- Practical experience with Kubernetes, Nomad, service meshes, or distributed key-value stores such as Redis, Consul, or Etcd
- Strong experience modeling application state in PostgreSQL or MySQL
- Experience designing high-volume telemetry ingestion pipelines using Snowflake, ClickHouse, or similar data stores
- Experience building developer-facing products such as APIs, SDKs, or cloud consoles
- Experience shipping customer-facing software and operating critical services at high scale
- Familiarity with agentic AI orchestration challenges
- Familiarity with LangGraph, OpenAI Agents SDK, or CrewAI
- Familiarity with Model Context Protocol
- Familiarity with human-in-the-loop primitives
DigitalOcean Compensation & Benefits Highlights
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Leave & Time Off Breadth — Flexible paid time off is prominently advertised and frequently characterized as generous and practical to use. Feedback suggests employees value the autonomy around time away from work.
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Parental & Family Support — Paid parental leave is highlighted as above average, with examples of phased return-to-work support. Feedback suggests family-support programs are a meaningful part of the total package.
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Healthcare Strength — Medical, dental, vision, and mental-health coverage are consistently described as comprehensive and well-regarded. Feedback suggests health benefits are a standout strength relative to other areas.
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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DigitalOcean Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
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.
