Software Engineer

PAR Technology
Hybrid

About The Position

As a Software Engineer at PAR, you will join the team responsible for Bridg, our Identity Resolution platform. This team transforms billions of point-of-sale transactions from leading retailers into actionable customer insights. You will contribute across the full software development lifecycle, including technical design, implementation, testing, deployment, monitoring, and ongoing support. In this role, you will partner with engineering teammates and our partner teams such as product, sales, and customer success to build reliable, scalable software that delivers meaningful value to our customers. We are a growing SaaS organization building cloud-native, data-intensive applications using AWS, Snowflake, Java, Python, and React. The ideal candidate is curious, collaborative, and comfortable working in a fast-moving environment with a strong sense of ownership and accountability.

Requirements

  • Bachelor’s degree (or higher) in Computer Science, Computer Engineering, or a closely related field
  • 0-2 years of related experience.
  • Strong computer science fundamentals, including: Object‑oriented programming (Java preferred; Python also used), Data structures and algorithms
  • Clear communication skills and a collaborative mindset

Nice To Haves

  • Experience with SQL and working with structured datasets
  • Exposure to AWS services (e.g., EC2, S3, Lambda, RDS, EMR)
  • Familiarity with Snowflake or other cloud data platforms
  • Comfort using AI‑assisted development tools (e.g., for code generation, testing, or documentation), with an understanding of how the code works—not just the output

Responsibilities

  • Design, develop, test, and maintain scalable services for our Identity Resolution platform, working primarily in Java with supporting technologies such as SQL, Python, and AWS.
  • Help process and transform large datasets using modern data platforms and distributed systems.
  • Contribute across the full software lifecycle—design, implementation, deployment, monitoring, and continuous improvement—supporting a customer facing, production system.
  • Partner with product managers, client partners, and fellow engineers to translate business needs into thoughtful technical solutions.
  • Use AI assisted development tools to augment coding, testing, and documentation—while still demonstrating strong fundamentals and critical thinking.
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