Principal Engineer
Entain India (company site, opens in a new tab)10+ yrsPuneOn-siteDirect career pageEst. 40–65 LPA
Posted 1h ago
Reach people at Entain India
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Entain India you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Own end-to-end delivery of complex, multi-team engineering initiatives, with accountability for predictable execution, quality, productivity and delivery metrics.
- Set technical direction across architecture, infrastructure and engineering standards; lead design decisions, manage architectural debt and address technical, operational, security and AI-related risks.
- Drive AI-enabled engineering workflows—including agents, automation and evaluation—while developing technical leaders and reusable platforms across teams.
Minimum Requirements
- Work Experience Required: 10+ years in software engineering, including technical leadership of complex, multi-team initiatives.
- Experience designing scalable microservices/SOA architectures and integrating APIs; leading end-to-end Agile/SDLC delivery and CI/CD practices.
- Hands-on experience with LLMs, AI agents, RAG, model routing, evaluation and observability; AI evaluation gates are also referenced for CI/CD.
- Experience designing and managing cloud solutions on AWS or GCP, plus managing security risks, data protection, access controls and AI-related security threats.
Ideal Candidate Profile
- A senior technical leader who can set system-level direction while remaining accountable for delivery plans, execution risks and measurable engineering outcomes across teams.
- Best suited to an AI-forward engineering environment, with practical experience introducing AI workflows and governance without weakening core software engineering practices.
- Betting and gaming industry experience is a stated advantage, not an explicit requirement.