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 Senior Software Engineer I to join our Customer Trust & Engineering team working on Identity and Access Management. IAM is the bedrock of trust at DigitalOcean; our services sit in the critical path of every request, authorizing billions of transactions per second with single-digit millisecond latency.
In this role, you will own significant technical workstreams within our Identity platform; not just implementing features, but shaping how they are designed, tested, and operated. You will go deep on identity protocols, distributed systems challenges, and security engineering, and you will actively raise the technical quality of the team around you. If you are a strong engineer who wants to combine technical depth with growing cross-team influence, this is the team for you.
What You’ll Do- Own Technical Workstreams: Design and develop high-availability, low-latency authentication and authorization services in Go, taking end-to-end ownership from design through production operation.
- Drive Identity Protocol Work: Lead the implementation of OIDC and SAML integrations, enabling seamless federated Single Sign-On (SSO) for enterprise customers and strategic global partners owning the design decisions, not just the implementation.
- Advance AuthZ Capabilities: Extend our Policy Engine (Rego/OPA) to support advanced resource-level permissions, dynamic scoping, and network-aware access conditions translating product requirements into robust, scalable policy logic.
- Build for AI Workloads: Contribute to IAM foundations for emerging AI/ML platforms, designing secure token exchange patterns and identity context propagation for agentic workflows.
- Evolve Identity Models: Design and scale multi-tenant data models to manage complex hierarchical structures (users, teams, organizations, and resource boundaries) that map cleanly to enterprise customer needs.
- Operational Ownership: Drive service reliability improvements from Kubernetes tuning to data pipeline modernization and participate actively in on-call, treating operational excellence as a first-class engineering concern.
- Security First: Proactively identify and remediate complex security vulnerabilities, ensuring auth flows are resilient against credential stuffing, session hijacking, and configuration theft.
- Mentor & Elevate: Mentor junior engineers through code reviews and design feedback, sharing knowledge in distributed systems and identity best practices without needing to formally lead workstreams.
- Experience: 4–7 years of software engineering experience, with at least 1–2 years focused on Identity (AuthN/AuthZ), Security Products, or high-scale Distributed Systems.
- Language Proficiency: Strong proficiency in Go and solid understanding of gRPC microservices architecture.
- Identity Knowledge: Working knowledge of identity protocols (OIDC, OAuth2, SAML) and access control models (RBAC, ABAC, PBAC); able to reason about trade-offs across models.
- Distributed Systems Depth: Solid understanding of consensus, replication, and partitioning — able to design systems that behave correctly under failure conditions.
- Cloud Native: Hands-on experience with Kubernetes, SQL (MySQL), and Infrastructure as Code (Terraform).
- Problem Solver: A track record of decomposing complex systems into clean, maintainable abstractions.
- Communication: Able to collaborate effectively across teams (Inference, Billing, DOKS) and clearly communicate technical decisions to peers and senior engineers.
- Experience with Open Policy Agent (OPA) and Rego.
- Familiarity with Cloud-native deployment strategies (Canary/Blue-Green) via Kubernetes.
- Prior exposure to enterprise IAM integrations (SCIM, LDAP, directory services).
*This job is located in Bengaluru, India
JR: 2026-7770
#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
- 4-7 years of software engineering experience
- At least 1-2 years focused on Identity (AuthN/AuthZ), Security Products, or high-scale Distributed Systems
- Strong proficiency in Go
- Solid understanding of gRPC microservices architecture
- Working knowledge of identity protocols (OIDC, OAuth2, SAML)
- Familiarity with access control models (RBAC, ABAC, PBAC)
- Solid understanding of distributed systems concepts (consensus, replication, partitioning)
- Hands-on experience with Kubernetes
- Experience with SQL (MySQL)
- Experience with Infrastructure as Code (Terraform)
- Operational ownership including on-call and service reliability improvements
- Security-first engineering: identify and remediate auth/security vulnerabilities
- Ability to mentor junior engineers and provide design/code feedback
- Strong communication and cross-team collaboration skills
- Experience with Open Policy Agent (OPA) and Rego
- Familiarity with cloud-native deployment strategies (Canary/Blue-Green) via Kubernetes
- Prior exposure to enterprise IAM integrations (SCIM, LDAP, directory services)
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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