Engineering Manager at PAR Technology Corporation - ScoutJobs - The AI-curated global job board
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Posted 7 hours ago

Engineering Manager

PAR Technology CorporationEngineering Manager

Requirements

Bachelor's degree in Computer Science, 12+ years software development experience, 2+ years engineering management experience, Proficiency in Python, Java, C#, Golang, or Ruby on Rails, Experience with cloud technologies and NoSQL, Experience managing 10+ engineers

Skills

PythonJavaCloudMicroservicesAI/ML

About the role

About the Company

PAR Technology Corporation (NYSE: PAR) is a leader in restaurant technology, providing comprehensive software and hardware solutions for over 100,000 restaurants in more than 110 countries. Through Punchh, a PAR company, we deliver Unified Customer Experience solutions including POS, digital ordering, and loyalty software.

Responsibilities

  • Provide technical leadership on major projects and critical product development
  • Build and lead an engineering team of 10–15 engineers
  • Mentor engineers and drive career development and growth
  • Establish and enforce best practices for code quality and system design
  • Own and operate team services using DevOps practices
  • Maintain balance between new feature development and managing technical debt
  • Lead the building and scaling of AI-assisted product capabilities within a SaaS platform
  • Partner with Product and Data teams to translate business problems into AI-driven solutions

Requirements

  • Bachelor’s degree in Computer Science or a related technical field
  • 12+ years of 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
  • Proficiency in design patterns, data structures, and Test Driven Development (TDD)
  • Experience building scalable microservices and distributed systems
  • Experience managing a team of 10+ engineers

Preferred Qualifications

  • Exposure to AI/ML-driven product features like recommendations or personalization
  • Familiarity with LLM-based systems, prompt engineering, and RAG
  • Experience with vector databases such as Pinecone, Weaviate, or FAISS
  • Familiarity with MLOps concepts including CI/CD for models and drift detection
  • Prior work in data-heavy SaaS domains like MarTech or Retail Tech
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Engineering Manager

PAR Technology Corporation · Gurugram

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