Engineering Manager
First seen by Alion on Sep 2, 2026.
Role : Engineering Manager
Location : Gurugram / Jaipur
Notice Period : Immediate to 60 days
Job Description :
We are looking for an experienced and hands-on Engineering Manager to lead a high-performing, cross-functional development team at Punchh (a PAR company). You will play a critical role in building new cloud-based products and improving core systems aligned with our platform strategy.
Reports To : Senior Director / Engineering Leadership Team
What We're Looking For :
- Bachelor's degree in Computer Science or a related technical field
- 12+ years of total experience in Software Development
- 2+ years of proven engineering management experience
- Experience managing a team of 10+ engineers
Tech Stack :
- Languages : Python, Java, C#, Golang, or Ruby on Rails
- Cloud/DevOps : Deep hands-on experience with cloud technologies, DevOps, and NoSQL
- Fundamentals : Proficient in design patterns, data structures, and Test Driven Development (TDD)
- Systems : Experience building scalable microservices, web services, and distributed systems
AI/ML Focus :
- Exposure to AI / ML-driven product features such as recommendations, personalization, forecasting, search, or automation
- Familiarity with LLM-based systems, including prompt engineering concepts, embeddings, vector databases, and retrieval-augmented generation (RAG)
- Experience integrating AI services using frameworks or platforms such as OpenAI APIs, AWS Bedrock, Azure OpenAI, Vertex AI, or similar
What You Will Be Doing :
- Provide technical leadership on major projects and critical product development
- Build and lead an engineering team of 10 - 15 engineers
- Mentor engineers and help drive their career development and growth
- Contribute to the codebase early on, as the team scales
- Establish best practices for code quality and system design
- Provide technical leadership in building and scaling AI-assisted product capabilities within a SaaS platform
- Partner with Product and Data teams to translate business problems into AI-driven solutions
Interview Process :
- Interview #1 : Phone Screen with Talent Acquisition Team
- Interview #2 : Video interview with the Technical Teams (via MS Teams / F2F)
- Interview #3 : Video interview with the Technical Teams (via MS Teams / F2F)
- Interview #4 : Video interview with the Hiring Manager (via MS Teams / F2F)
Skills
Engineering Management, Artificial Intelligence, Machine Learning, Python, Java, C#, Golang, Ruby on Rails, NoSQL, Design Patterns, OpenAI