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.
What You'll Bring to DigitalOcean- 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, ClickHouseetc.
- 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.
Compensation Range: *This is a hybrid role
#LI-Hybrid
