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 looking for a Senior Software Engineer II (IC4) who is passionate about distributed systems orchestration, high-throughput API design, and building the multi-tenant control plane that powers Agentic AI applications.
As a Senior Software Engineer II (IC4) at DigitalOcean, you will join a dynamic engineering team dedicated to revolutionizing cloud computing and AI. In this role, you will report directly to the Engineering Manager of the Sandbox Team. You will act as the technical anchor for the squad responsible for the entire management tier, user lifecycle, and API orchestration of our sandbox platform. You will design and develop the "brain" of the product, interfacing directly with developer SDKs and coordinating with underlying internal virtualization services to deliver a seamless, secure, and scalable developer experience.
What You’ll Do- Design and scale the core Orchestrator using Go, managing the global state, session lifecycles, and rapid allocation of sandboxes for millions of user requests.
- Design and implement robust multi-tenant API Gateways and authentication layers to securely isolate customer workloads, rate-limit abuse, and track usage for billing.
- Build high-performance routing proxies (HTTP/WebSocket/gRPC) capable of instantly tunneling traffic from external client SDKs directly to internal service endpoints.
- Manage complex state synchronization and service discovery patterns using tools like Consul, Nomad, or Kubernetes to ensure high availability across distributed clusters.
- Own the developer interface, optimizing how the control plane surfaces real-time execution telemetry, structured logging pipelines, and file streaming back to the user's application.
Key Metrics
- Control Plane API Latency: Maintain sub-20ms overhead for API authentication, routing, and command dispatching.
- System Uptime & Reliability: Target a 99.99% uptime SLA for the control plane API and proxy layers.
- Multi-Tenant Isolation: Ensure zero cross-tenant data leaks or unauthorized API access at the control plane level.
- Token/Session Handover Time: Minimize the time it takes from a user requesting a sandbox to the control plane establishing a secure proxy tunnel.
- Distributed Systems Mastery: 8+ years of professional software engineering experience, with a heavy emphasis on building large-scale SaaS or PaaS control products using Go (Golang) or similar backend languages.
- API & Proxy Expertise: Proven experience building high-throughput REST/gRPC APIs, custom reverse proxies, or network routers handling concurrent connection scaling.
- Orchestration & State Management: Practical experience with cluster schedulers (Nomad, Kubernetes), service meshes, or distributed key-value stores (Consul, Etcd) for real-time state tracking.
- Data Layer Architecture: Strong experience modeling application state in PostgreSQL and designing high-volume telemetry ingestion pipelines using columnar data stores like ClickHouse.
- Product-First Mindset: Experience building products designed for other developers (APIs, SDKs, Cloud Consoles) with a deep empathy for developer workflows and latency constraints.
- Preferred Attributes: Familiarity with the unique orchestration challenges of Agentic AI, LLM orchestration frameworks, or building multi-tenant user platforms.
*This job is located in 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
- 8+ years of professional software engineering experience
- Proficiency with Go (Golang) or similar backend languages
- Experience building large-scale SaaS or PaaS control plane products
- Proven experience building high-throughput REST and gRPC APIs
- Experience building custom reverse proxies and high-performance routing proxies (HTTP/WebSocket/gRPC)
- Practical experience with cluster schedulers and orchestration (Nomad, Kubernetes)
- Experience with service discovery and distributed key-value stores (Consul, Etcd)
- Experience modeling application state in PostgreSQL
- Experience designing high-volume telemetry ingestion pipelines using columnar stores like ClickHouse
- Experience building developer-facing products (APIs, SDKs, Cloud Consoles)
- Familiarity with Agentic AI, LLM orchestration frameworks, or related orchestration challenges
DigitalOcean Compensation & Benefits Highlights
-
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.
-
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.
-
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.
Gallery
DigitalOcean Offices
Remote Workspace
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.
