Senior Software Engineer II-Agentic AI
DigitalOcean · Posted Oct 26
Cloud infrastructure, virtual machines, managed database, and AI inference services
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About the role
DigitalOcean's Agentic AI organisation provides a powerful inference cloud, Managed Agents, and robust Feedback systems that enable customers to run AI inference confidently at scale. The Feedback Systems team builds the scalable backend infrastructure that tests and evaluates AI agents safely and reliably. This role involves designing and developing high-throughput backend systems that orchestrate complex execution workflows, interface with isolated execution environments, and process evaluation signals.
What you will do
- Designing, building, and maintaining robust backend services and highly concurrent asynchronous workflows, primarily in Python and Go.
- Integrating backend control planes with isolated, secure execution environments to safely run agents and capture execution artifacts.
- Building and operating scalable APIs (gRPC, REST) to serve as the connective tissue across data pipelines, evaluation engines, and internal platforms.
- Collaborating closely with cross-functional teams to ensure infrastructure reliably supports complex evaluation scenarios and outcome metrics.
- Driving engineering best practices, including code reviews, comprehensive testing, and technical design documentation.
- Monitoring system performance, investigating bottlenecks, and ensuring high reliability of orchestration systems.
Skills used in this role
What the employer is looking for
- 5+ years of software engineering experience building highly concurrent, fault-tolerant distributed systems.
- Deep proficiency in Python and Go (or strong experience in C++/Java with a willingness to master Python and Go quickly).
- Hands-on experience with durable workflow orchestration engines for managing distributed state and long-running asynchronous tasks.
- Strong working knowledge of containerization, virtualization, or secure workload isolation technologies (e.g., Docker, Kubernetes, or microVMs).
- Experience building resilient APIs and handling high-throughput event or message data.
- A strong sense of ownership, excellent communication skills, and the ability to work effectively in a globally distributed team.
- AI/ML Ecosystem Awareness: While you do not need to be an ML researcher, you possess a strong foundational understanding of interacting with LLM APIs, prompt constraints, and the unique architectural challenges of testing non-deterministic systems.
Benefits and support
- Reimbursement for relevant conferences, training, and education, subject to company policy
- Flexible time off
- Local team meetups
- Mental health and well being support
- Equity compensation, which may include a new hire equity grant
- Employee Stock Purchase Program (in participating countries)
- Annual bonus plan
About DigitalOcean
DigitalOcean is an American cloud infrastructure provider and AI-native cloud platform built for developers, startups, and small-to-medium-sized businesses. The company provides simple, scalable virtual machines, managed databases, Kubernetes, and specialized inference engines designed to run modern application and agentic AI workloads.
- Industry
- Cloud Computing
- Company size
- 1001-5000 employees
- Founded
- 2011-06-24
- Location
- Broomfield, Colorado, USA
- Funding stage
- Public Company
Funding
Public Company · $174M raised
- 2013-07-01Seed$3.2M
- 2014-03-01Series A$37.2M
- 2014-12-01Debt Financing$50M
- 2015-07-01Series B$83M
- 2016-04-01Debt Financing$130M
- 2020-05-01Venture Round$50M
- 2021-03-24IPO$775.5M
Leadership
Chief Executive Officer
Chief Financial Officer
Chief Product and Technology Officer
Chief Marketing Officer
Recent coverage
DigitalOcean Newsroom
DigitalOcean Secures $725 Million in Equipment Financing Facility to Fund Capacity Expansion2026-09-10
DigitalOcean Newsroom
DigitalOcean Launches Managed Agents, Bringing Agent Execution, Tool Access, and Inference Together on One Cloud2026-09-21
DigitalOcean Newsroom
DigitalOcean Unveils AI-Native Cloud Built for the Inference Era2026-04-27
DigitalOcean Newsroom
DigitalOcean Acquires Katanemo Labs to Accelerate the Inference Cloud for the Agentic Era2026-04-01