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Senior Software Engineer II-Agentic AI

DigitalOceanHyderabad🇮🇳IndiaPosted 15 Oct 2026

Quick overview

SeniorityMid Senior
Work modeHybrid
LocationHyderabad, India
Posted1 week ago
DockerCustomer SuccessC++DigitalOceanJavaLLMMental HealthPythongRPCRESTKubernetes

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 organisation 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 Senior Software Engineer I 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 design and develop 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:

  • 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.


What You’ll Add to DigitalOcean:

  • 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.

*This job is located in Hyderabad, India

JR: 2026-7874

#LI-Hybrid

*This job is located in Hyderabad, India

#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 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.

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