Engineering Manager

For over four decades PAR Technology Corporation (NYSE: PAR) has been a leader in restaurant technology empowering brands worldwide to create lasting connections with their guests. Our innovative solutions and commitment to excellence provide comprehensive software and hardware that enable seamless experiences and drive growth for over 100000 restaurants in more than 110 countries. Embracing our Better Together ethos we offer Unified Customer Experience solutions combining point-of-sale digital ordering loyalty and back-office software solutions as well as industry-leading hardware and drive-thru offerings. To learn more visit or connect with us on LinkedIn X (formerly Twitter) Facebook and Instagram.

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.

Position Location: Jaipur/Gurugram

Reports To: Senior Director / Engineering Leadership Team

What Were Looking For:

Bachelors degree in Computer Science or a related technical field

12 years of total experience in Software Development

2 years of proven engineering management experience

Strong coding background in Python Java C# Golang or Ruby on Rails

Deep hands-on experience with cloud technologies DevOps and NoSQL

Proficient in design patterns data structures and Test Driven Development (TDD)

Experience building scalable microservices web services and distributed systems

Strong verbal and written communication skills

Experience managing a team of 10 engineers

With a Side of (Additional Skills):

Technical leadership and team-building capabilities

Familiarity with agile methodologies and rotating on-call ownership

Experience conducting code reviews architecture reviews and performance feedback

Ability to collaborate on roadmaps with Product Architecture and Tech Leads

Passion for coaching mentoring and grooming future engineering leaders

Exposure to AI/ML-driven product features such as recommendations personalization forecasting search or automation

Experience collaborating with Data Science ML Engineers and Product Managers on AI-powered use cases

Familiarity with LLM-based systems including prompt engineering concepts embeddings vector databases and retrieval-augmented generation (RAG)

Understanding of data pipelines feature stores and data quality considerations for ML systems

Experience integrating AI services using frameworks or platforms such as OpenAI APIs AWS Bedrock Azure OpenAI Vertex AI or similar

Awareness of AI ethics bias privacy and responsible AI practices in production systems

Unleash Your Potential: What You Will Be Doing and Owning:

Provide technical leadership on major projects and critical product development

Build and lead an engineering team of 1015 engineers

Mentor engineers and help drive their career development and growth

Contribute to the codebase early on as the team scales

Establish and enforce best practices for code quality and system design

Own and operate your teams services employing DevOps practices

Maintain balance between building new features and managing tech debt

Act as an ambassador for the Punchh culture and help recruit top talent

Be part of the broader Engineering Leadership Team and help shape organizational growth

Provide technical leadership in building and scaling AI-assisted product capabilities within a SaaS platform

Guide the team in architecting AI-ready microservices including inference APIs async processing and observability

Partner with Product and Data teams to translate business problems into AI-driven solutions

Establish best practices for model deployment monitoring and performance optimization

Balance rapid experimentation with production-grade reliability for AI features

Drive adoption of AI-powered developer productivity tools (coding assistants testing automation observability insights)

Nice to Have / Bonus Skills (Optional Section):

Familiarity with MLOps concepts: CI/CD for models model versioning drift detection A/B testing

Hands-on exposure to vector databases (Pinecone Weaviate FAISS OpenSearch)

Experience leveraging AI for internal efficiency (support automation analytics insights campaign optimization)

Prior work in data-heavy SaaS domains such as MarTech FinTech Retail Tech or Enterprise SaaS

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)

PAR is proud to provide equal employment opportunities (EEO) to all employees and applicants for employment without regard to race color religion sex national origin age disability or genetics. We also provide reasonable accommodations to individuals with disabilities in accordance with applicable laws. If you require reasonable accommodation to complete a job application pre-employment testing a job interview or to otherwise participate in the hiring process or for your role at PAR please contact .If youd like more information about your EEO rights as an applicant please visit the US Department of Labors website.

Required Experience:

Manager