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Software Engineer I - Agentic AI

Hyderabad, Telangana
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IT / Software / Data Analyst
#38989
Remote / WFH
DigitalOcean

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.

About the Role

DigitalOcean's Agentic AI organization provides a powerful inference cloud, Managed Agents, and robust Feedback systems that enable customers to run AI inference confidently at scale. We are looking for a Software Engineer I (IC1) to join our Feedback Systems team. This team is responsible for building the scalable backend infrastructure that tests and evaluates AI agents safely and reliably.

In this role, you will help develop and maintain high-throughput backend systems that orchestrate complex execution workflows, interface with isolated execution environments, and process evaluation signals. You will work on solving distributed systems problems at the intersection of infrastructure orchestration and asynchronous data flows, ensuring our platforms are robust, scalable, and highly available.

What You'll Do:
• Building, testing, 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.
• Developing and maintaining 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 evaluation scenarios and outcome metrics.
• Contributing to engineering best practices, including participating in code reviews, writing comprehensive tests, and helping with technical design documentation.
• Monitoring system performance, investigating bugs, and ensuring high reliability of orchestration systems.
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