// Open Role at Entain
Join Entain India as a Principal Engineer, leading complex AI-driven engineering projects for a world leader in sports and gaming. Drive technical excellence, architecture, and innovative solutions across multiple teams.
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 AWS/GCP.
IT Security Management: Managing security risks, data protection, access controls and AI-specific security threats.
Change Management: Driving technology transformation and AI adoption across teams.
Requirements Gathering: Translating business needs into technical and non-functional requirements.
Algorithms & Problem Solving: Applying algorithmic thinking and complexity analysis to build efficient, scalable solutions.
Desired Skills & Competencies
Experience in the betting and gaming industry.
Stakeholder Management: Builds strong working relationships and engages effectively with stakeholders.
Collaboration: Communicates clearly and works well across teams.
People Development: Invests in developing personal and team capabilities.
Analytical Thinking: Uses critical thinking and commercial understanding to make informed decisions.
Strategic Direction: Helps define and drive business and technology priorities.
Agility: Adapts quickly while managing risks and changing priorities.
Performance Focus: Continuously improves standards and drives high performance.
Integrity & Ownership: Takes accountability and makes responsible decisions.
Results Orientation: Plans effectively and delivers outcomes.
At Entain India, we offer a package and the support people need to make an impact. Join us, and a great compensation package is just the beginning. You can expect to receive benefits like:
Equal Opportunities.
If you need any reasonable adjustments at any stage of the recruitment process, please contact us and we'll support you.
We're committed to creating a diverse, equitable and inclusive workplace where everyone feels valued, respected and able to be themselves.
We're an equal opportunities employer. We welcome applications from everyone, and we do not discriminate based on age, disability, gender or gender reassignment, pregnancy or maternity, race, religion or belief, sexual orientation, marriage/civil partnership, or any other basis.
We comply with all applicable recruitment regulations and employment laws in the jurisdictions where we operate, ensuring ethical and compliant hiring practices globally.
Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us.
• Lead end-to-end delivery of complex, multi-team engineering projects with technical direction in systems, infrastructure, and architecture. • Promote AI-native development practices including AI agents, automation, and responsible AI governance. • Drive design reviews, technical decisions, and manage architectural debt, ensuring cross-team alignment. • Identify and address technical, operational, security, and AI-related risks. • Own delivery predictability, quality, productivity, and execution metrics across teams. • Collaborate closely with Product and Engineering stakeholders to balance scope, speed, and quality. • Break down complex projects, define ownership, and drive execution plans. • Lead cross-team technical initiatives, promote reusable platforms, tools, and engineering standards. • Conduct workshops and share technical expertise to foster collaboration and knowledge sharing. • Apply Agile and XP methodologies to improve development efficiency and delivery. • Mentor engineers, develop technical leaders, and encourage system-level thinking. • Participate in technical interviews and support Engineering Managers in team performance development. • Continuously improve architectural health, engineering practices, and overall team performance. • Possess 10+ years of software engineering experience, including technical leadership across complex, multi-team initiatives. • Expertise in designing scalable microservices & SOA architectures. • Experience with API & Web Service Integration. • Proven ability to lead end-to-end software delivery using Agile & SDLC practices. • Skilled in Project & Programme Management for cross-team initiatives. • Capable of defining Technology Strategy & Governance, including AI strategy and risk management. • Hands-on experience with LLMs, AI agents, RAG, model routing, evaluation, and observability. • Proficient in CI/CD & DevOps, including automated testing and deployment pipelines with AI evaluation gates. • Experienced in designing and managing scalable, cost-effective solutions on AWS/GCP. • Knowledgeable in IT Security Management, data protection, access controls, and AI-specific security threats. • Skilled in Change Management for technology transformation and AI adoption. • Capable of Requirements Gathering, translating business needs into technical requirements. • Strong in Algorithms & Problem Solving, applying algorithmic thinking and complexity analysis.