Senior Software Engineer

PickTraceSan Diego, CA

About The Position

WHAT IF… You could leverage your passion for technology to create solutions that will directly impact our food supply chain? The agriculture industry is facing numerous challenges including coordinating workforces in a rapidly shifting environment and increasing costs, yet it is one of the least digitized industries in the world. At PickTrace, we’re working to solve these problems and deliver products our customers love. That is why we’re looking for a Senior Software Engineer who not only builds great software, but knows how to harness AI as a force multiplier to help build the SaaS farm management operating system of the future.

Requirements

  • You have 4+ years of experience building web based software
  • High level languages similar to Go, Kotlin, C#, Python, Java
  • Front end languages similar to HTML, CSS, Typescript, and React
  • Cloud - experienced in setting up, architecting, and deploying services
  • Experience with AI-assisted workflows
  • Actively uses AI coding assistants (e.g. GitHub Copilot, Cursor, Claude) as a core part of daily development
  • Comfortable running agentic coding workflows where AI tools autonomously handle multi-step tasks
  • Able to critically evaluate, test, and take full ownership of AI-generated code — understanding its limitations and knowing when not to trust it
  • You are an innovative, big picture thinker and pragmatic with technical details
  • You have a knack for simplifying, breaking down, and honing in on the core elements of problems to drive towards iterative solutions
  • You have strong communication skills and can work effectively with a cross-functional team (including with non-technical colleagues)

Nice To Haves

  • Experience with containerized apps (Docker) is a plus

Responsibilities

  • Learn agriculture and become well-versed in the workflow and business needs of PickTrace customers in order to craft an elegant, high-performance user experience
  • Help advocate for best practices for development processes and deployment, including the responsible adoption of AI-assisted development tools and workflows
  • Use AI tools as a force multiplier — applying AI assistants to accelerate coding, research, debugging, and documentation across the stack
  • Help build and maintain a collaborative culture that fosters collaboration, innovation and continuous improvement
  • Work full stack across the back end and front end
  • Write efficient, scalable, and easily testable APIs
  • Write reusable frontend components
  • Mentor other engineers
  • Contribute to maintainable code by performing code reviews and writing tests
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