# Principal Engineer at Entain

Entain is hiring a Principal Engineer in Pune, India. Level rates it Works on AI ●●●○; you can [apply on Entain](https://jobsbylevel.com/go/5062e464-cb1a-427e-b855-a176be1f5de6?utm_medium=ai-agent).

AI Level 3, AI centrality 75 out of 100. Pune, Maharashtra, India.

## Details

- Company: [Entain](https://jobsbylevel.com/companies/entain)
- AI level: AI Level 3 (score 75 out of 100)
- Location: Pune, Maharashtra, India
- Posted: November 13, 2026
- Apply: https://jobsbylevel.com/go/5062e464-cb1a-427e-b855-a176be1f5de6?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=principal-engineer-at-entain-74a072

## Prepare for this job

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## Description

There's nothing like a career at Entain India. We're the technology powerhouse helping Entain – a world leader in sports and gaming – create products and experiences used by millions of customers across the globe. You'll thrive here, whether you're a product owner who wants to deliver original concepts, an engineer who's determined to build high-performance platforms, or a customer care professional who will personalise our service every step of the way. Our unrivalled energy, innovative insights and exceptional work environments will activate your full potential. Join us to unlock a world of new possibilities – for you and the future of sports and gaming. The Principal Engineer is accountable for the end-to-end delivery of complex, multi-team engineering projects. The role provides technical direction across systems, infrastructure and architecture while ensuring high-quality, timely and predictable delivery. AI is central to the engineering approach. The Principal Engineer is expected to lead AI-driven development, including specifying, orchestrating, evaluating and automating engineering workflows, while maintaining strong core software engineering practices. The role reports to the Head of Engineering and is part of the Product & Technology India team, working closely with Engineering, Product, Technology and business stakeholders in a fast-paced, agile environment. Key Responsibilities Technical Leadership: Owns complex technical initiatives, sets engineering standards and drives high-quality solutions across teams. AI-Driven Engineering: Promotes AI-native development practices, including AI agents, automation, evaluation and responsible AI governance. Architecture & Design: Leads design reviews, drives technical decisions, manages architectural debt and ensures alignment across teams. Risk Management: Identifies and addresses technical, operational, security and AI-related risks. Delivery Management: Owns delivery predictability, quality, productivity and execution metrics across teams. Stakeholder Collaboration: Works closely with Product and Engineering teams to understand requirements and balance scope, speed and quality. Planning & Execution: Breaks down complex projects into manageable tasks, defines ownership and drives execution plans. Cross-Team Collaboration: Leads technical initiatives across teams and promotes reusable platforms, tools and engineering standards. Knowledge Sharing: Conducts workshops, shares technical expertise and encourages collaboration and knowledge sharing across teams. Agile Practices: Applies Agile and XP methodologies to improve development efficiency and delivery. Mentoring & Development: Mentors engineers, develops technical leaders and encourages system-level thinking. Recruitment & Performance: Participates in technical interviews and supports Engineering Managers with team performance development. Engineering Excellence: Continuously improves architectural health, engineering practices and overall team performance. 10+ years of software engineering experience, including technical leadership across complex, multi-team initiatives. Microservices & SOA: Designing scalable, modular, loosely coupled architectures. API & Web Service Integration: Building and integrating APIs for seamless system communication. Agile & SDLC: Leading end-to-end software delivery through iterative, collaborative and structured development practices. Project & Programme Management: Managing cross-team initiatives, resources, timelines and delivery. Technology Strategy & Governance: Aligning technology investments with business goals, including AI strategy, responsible AI adoption, governance and risk management. AI & Machine Learning: Hands-on experience with LLMs, AI agents, RAG, model routing, evaluation and observability. CI/CD & DevOps: Implementing automated testing and deployment pipelines, including AI evaluation gates. Cloud Computing: Designing and managing scalable, cost-effective solutions on

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