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'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.
- 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 is a hybrid role based out of Hyderabad, India.
#LI-Hybrid
- We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
- We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
- We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
- We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
- DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
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
- 5+ years software engineering experience building highly concurrent, fault-tolerant distributed systems
- Deep proficiency in Python and Go
- Strong experience in C++ or Java with willingness to master Python and Go quickly
- Hands-on experience with durable workflow orchestration engines for distributed state and long-running asynchronous tasks
- Working knowledge of containerization, virtualization, or secure workload isolation technologies (Docker, Kubernetes, microVMs)
- Experience building resilient APIs (gRPC, REST) and handling high-throughput event or message data
- Foundational understanding of interacting with LLM APIs, prompt constraints, and testing non-deterministic systems
- Strong sense of ownership, excellent communication skills, and ability to work in a globally distributed team
- Hybrid role based out of Hyderabad, India (location requirement)
DigitalOcean Compensation & Benefits Highlights
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Healthcare Strength — Health coverage includes medical, dental, vision, and mental-health support plus employer-paid life/AD&D/disability, with multiple plan options and above-average employer contributions. Offerings are described as market-leading and in some cases fully paid to keep premiums low.
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Equity Value & Accessibility — Equity awards (new-hire and performance RSUs) are paired with an Employee Stock Purchase Plan offered at a discount. This ownership component augments cash compensation and broadens participation in company growth.
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Parental & Family Support — Paid parental leave is provided for a defined period and includes a structured, part-time transition-back program. The approach emphasizes a smoother return-to-work experience for new parents.
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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Employees work remotely.
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.
