Sports betting, gaming and interactive entertainment is changing, and we're leading that change. By putting people first. By placing exciting, engaging and entertaining experiences at more fingertips than ever before. We're pulling into pole position by pushing boundaries further. With innovation. With technology. But most importantly, with people like you. Because when you join Entain, it's your game. So let's win together.

Hybrid model - x2 days a week on site

Are you a engineering leader ready to shape the future of software solutions across backend and frontend domains? We're looking for SDE3's with 5+ years of experience in Java, complemented by working knowledge Angular

In this influential role, 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. This team consists of three functions: Product, Engineer, and Quality. The team has 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?

Engineering Mindset — What We Look For

We assess every candidate across six core dimensions:

AI Fluency — AI is the primary way we engineer. You prompt, evaluate, iterate. Manual coding is a deliberate choice, not the default.
Cross-Functional Versatility — "That's not my area" doesn't exist. You contribute beyond your discipline, share openly, and communicate clearly across formats.
Customer and Value Awareness — Ask "why" and "for whom" before "how". Zoom out to see the business, zoom in to trace the bug. Map dependencies before you build.
Craft — SOLID, DRY, separation of concerns, observability by default. Clean code, right-level testing, CI/CD as hygiene — whether a human or an agent wrote it.
Technical Curiosity — Build a prototype and break it before reading the docs. Stay curious about how things work.
Agency & Entrepreneurship — Don't wait for permission. Own outcomes end-to-end, make others successful, challenge the status quo.

If you thrive in technical environments, are passionate about delivering excellence, and want to make a lasting impact, we want to hear from you.

What will you do

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.

Must Have

Proficiency in at least one of: Java/Spring Boot, Python, .NET, Go, and Angular and with the use of AI adopt other languages.
Experience with engineering fundamentals: 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 with AI-assisted development tools (code generation, pair programming, automated testing).
Experience with agent systems, MCP/tool protocols, or building AI-augmented workflows.
Experience designing evaluation or observability strategies for AI outputs.

Nice to Have

Contributions to shared tooling, internal platforms, or open-source projects.
Background in industries with strict regulatory requirements (gaming, financial services, healthcare).

At Entain, we know that signing top players requires a great starting package, and plenty of support to inspire peak performance. Join us, and a competitive salary is just the beginning. Working for us in Brazil, you can expect to receive benefits like:

Hybrid working - 2 days in the office
Healthcare support
Great development opportunities
Wellbeing support, and so much more.

And outside of this, you'll have the chance to turn recognition from leaders and colleagues into amazing prizes, join a winning team of talented people and be a part of an inclusive and supporting community where everyone is celebrated for being themselves.

Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us.

- Deliver against the pod's mission, owning the full software delivery lifecycle including quality, from design through production and measurement. - Operate in continuous flow (Kanban), pulling work, respecting WIP limits, and shipping daily. - Use AI agents as your primary delivery mechanism for code generation, testing, spec writing, and deployment. - Design, build, and debug software across backend and frontend with distributed systems awareness. - Evaluate and tune agent workflows, including steering docs, prompts, rules, and skills. - 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. - Proficiency in at least one of: Java/Spring Boot, Python, .NET, Go, and Angular. - Experience with engineering fundamentals: 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 with AI-assisted development tools (code generation, pair programming, automated testing). - Experience with agent systems, MCP/tool protocols, or building AI-augmented workflows. - Experience designing evaluation or observability strategies for AI outputs.