Software Development Engineer III

Entain India is the engineering and delivery powerhouse for Entain, one of the world's leading global sports and gaming groups. Established in Hyderabad in 2001, we've grown from a small tech hub into a dynamic force, delivering cutting-edge software solutions and support services that power billions of transactions for millions of users worldwide. Our focus on quality at scale drives us to create innovative technology that supports Entain's mission to lead the change in global sports and gaming sector. At Entain India, we make the impossible possible, together.

As an SDE III, you'll bring your engineering depth into a new way of working. You won't just write code — you'll specify, orchestrate, validate, and ship with AI as your primary collaborator. You'll work in a small, mission-driven cross-functional team called a pod — three functions (Product, Engineer, Quality) with high agency, shared ownership, and no hand-offs. Reporting to the Tech Lead, you'll join the Product & Technology Team. Are you ready to be part of a team that's redefining how software gets built in an AI Native setup?

Deliver against the pod's mission — own the full software delivery lifecycle including quality, from design through production and measurement. Operate in continuous flow (Kanban) — pull work, respect WIP limits, ship daily. Use AI agents as your primary delivery mechanism — code generation, testing, spec writing, deployment. Design, build, and debug software across backend and frontend with distributed systems awareness. Evaluate and tune agent workflows — steering docs, prompts, rules, skills. You improve the tools you use. Write clean, well-tested code and take ownership of quality end-to-end. Act as the initial on-call responder, ensuring health and stability of deployed applications. Mentor junior developers and contribute to shared tooling, knowledge bases, and the agent foundation kit. Engineering Mindset — What We Look For We assess every candidate across six core dimensions: AI Fluency: AI is the primary way we engineer. Prompt, evaluate, and iterate. Manual coding is a deliberate choice, not the default. Cross-Functional Versatility: “That’s not my area” doesn’t exist. Contribute beyond your discipline, share knowledge openly, and communicate clearly across different formats. Customer and Value Awareness: Ask “why” and “for whom” before “how.” Understand the bigger business context while still being able to zoom in and trace a bug. Map dependencies before you build. Craft: Apply SOLID principles, DRY, separation of concerns, and observability by default. Write clean, maintainable code with the right level of testing. Treat CI/CD as standard engineering practice, whether the code is written by a human or an AI agent. Technical Curiosity: Build a prototype, experiment, and try to break it before relying solely on documentation. Stay curious about how things work and continuously explore better approaches. Agency & Entrepreneurship: Don’t wait for permission. Take ownership of outcomes end-to-end, enable others to succeed, challenge the status quo, and proactively look for ways to create value.

Strong proficiency in at least one of the following: Java/Spring Boot, Python, .NET, Go, or Angular, with the ability to learn and work with other technologies using AI. Strong foundation in engineering fundamentals, including distributed systems, data structures, API design, database concepts, and cloud computing. Experience with clean code practices, TDD, CI/CD, and version control. Experience with application monitoring, observability, and production debugging. Familiarity with Docker/Kubernetes, microservices, and event-driven architectures. Proficiency in using AI-assisted development tools for code generation, pair programming, and