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.
We are seeking a Software Engineer II to join our App Platform and Functions engineering team. App Platform is DigitalOcean’s managed PaaS: customers ship apps from source to production on Kubernetes-backed infrastructure without managing clusters themselves. Functions is our serverless compute product, running event-driven workloads on a secure, multi-tenant runtime. Together these products sit on the critical path for developers deploying and scaling modern applications—and increasingly AI and agent workloads—on DigitalOcean.
In this role, you will contribute meaningfully to building and operating the control plane and runtime systems that power App Platform and Functions. You will work within established technical frameworks, implement features against well-scoped designs, and grow your expertise in distributed systems, Kubernetes, and cloud-native platforms. If you are passionate about writing clean, reliable code and want to deepen your ownership of production PaaS and serverless systems, this is the team for you.
What You’ll Do- Build & Extend: Implement features and bug fixes across App Platform and Functions services in Go, working within established architectural patterns and contributing to a high-reliability, multi-tenant platform.
- Control Plane & APIs: Contribute to gRPC and HTTP APIs, reconciliation loops, and lifecycle workflows that create, update, deploy, and operate customer apps and functions at scale.
- Kubernetes Runtime: Work with Kubernetes-backed infrastructure—deployments, networking, autoscaling, and cluster-facing controllers—to improve how workloads are scheduled, isolated, observed, and healed.
- Serverless & Scale: Help improve Functions runtime behavior, including cold-start/warm-path performance, isolation, reliability, and operational tooling for event-driven workloads.
- Operate What You Build: Participate in on-call rotations, investigate production issues, write runbooks, and develop ownership of the services you contribute to.
- Learn & Grow: Partner with senior engineers to deepen your understanding of distributed systems, Kubernetes internals, and PaaS/serverless architecture—building the skills to take on increasing ownership over time.
- Collaborate Cross-Functionally: Work with teammates across App Platform, Functions, Edge, Networking, and adjacent product teams to understand how your work fits into the broader cloud platform.
- Engineering Excellence: Write unit and integration tests, participate in code reviews, leave code cleaner than you found it, and help raise the bar on reliability and operability.
- Experience: 2–4 years of software engineering experience, with a strong foundation in building and shipping production services.
- Language Proficiency: Proficiency in Go, or a strong background in another typed systems language with demonstrated ability to ramp quickly.
- Kubernetes Familiarity: Working knowledge of Kubernetes concepts (Deployments, Services, Controllers/Operators, resource limits, networking basics); hands-on experience deploying or operating workloads on Kubernetes is a plus.
- Systems Thinking: Understanding of how distributed systems work—replication, latency trade-offs, failure modes, reconciliation—and curiosity to go deeper.
- Cloud Native: Exposure to containerized environments, microservices, and SQL databases (MySQL/Postgres); experience with gRPC is a plus.
- Problem Solver: Comfort working through ambiguous bugs and production issues, and a habit of leaving systems more observable and operable than you found them.
- Communication: Ability to clearly document your work, ask good questions, and collaborate effectively with teammates and stakeholders.
- Experience with PaaS, serverless platforms, or multi-tenant control planes.
- Familiarity with service meshes, CNI networking, autoscaling, or scale-to-zero patterns.
- Exposure to event-driven systems, webhooks, or function/runtime isolation (containers, gVisor, or microVMs).
- Experience with Terraform, CI/CD pipelines, or Prometheus-based observability.
- Prior on-call experience for production services.
This job is located in Hyderabad, India
JR: 2026-8134
#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
- 2-4 years of software engineering experience building and shipping production services
- Proficiency in Go or strong experience with another typed systems language and ability to ramp quickly
- Working knowledge of Kubernetes concepts, including Deployments, Services, Controllers/Operators, resource limits, and networking basics
- Understanding of distributed systems, including replication, latency trade-offs, failure modes, and reconciliation
- Exposure to containerized environments, microservices, and SQL databases such as MySQL or PostgreSQL
- Ability to investigate ambiguous production issues and improve system observability and operability
- Clear documentation, effective communication, collaboration, and ability to ask good questions
- Hands-on experience deploying or operating workloads on Kubernetes
- Experience with gRPC
- Experience with PaaS, serverless platforms, or multi-tenant control planes
- Familiarity with service meshes, CNI networking, autoscaling, or scale-to-zero patterns
- Exposure to event-driven systems, webhooks, or function/runtime isolation using containers, gVisor, or microVMs
- Experience with Terraform, CI/CD pipelines, or Prometheus-based observability
- Prior on-call experience for production services
DigitalOcean Compensation & Benefits Highlights
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Healthcare Strength — Health coverage is described as market‑leading across medical, dental, vision, and mental health, with above‑average employer contributions and 100% employer‑paid life, AD&D, and disability insurance. Some materials note fully paid health benefits for employees in certain locations, though details vary by region.
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Equity Value & Accessibility — Employees are offered company equity alongside an Employee Stock Purchase Plan (ESPP) that enables discounted share purchases, with references to performance equity grants as part of total rewards. This ownership component complements competitive cash pay and bonuses highlighted in company materials.
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Parental & Family Support — Parental benefits are positioned as above‑average, with references to fully paid parental leave (e.g., 10 weeks in newer listings) and a part‑time transition‑back program. Fertility and parenthood support such as Carrot is also called out.
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 engage in a combination of remote and on-site work.
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.
