Senior Software Engineer

🕒 April 14

🏄 California – Remote

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💵 $115k - $140k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

🦅 H1B Visa Sponsor

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Logo of PickTrace

PickTrace

51 - 200 employees

Founded 2014

🌾 Agriculture

👥 HR Tech

☁️ SaaS

Agriculture • HR Tech • SaaS

<PickTrace> is the only all-in-one labor management suite for agriculture that helps employers hire, track, and pay seasonal and permanent farm workers while staying compliant. The platform provides onboarding tools (I-9, W-4, bulk imports), real-time time & productivity tracking for payroll compliance and labor cost analysis, and pay solutions including a branded PayCard. PickTrace is mobile-first, customer-focused software used by agricultural employers to streamline labor management, payroll integration, and regulatory compliance.

📋 Description

• 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

🎯 Requirements

• 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 • Experience with containerized apps (Docker) is a plus • 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 • Strong communication skills and can work effectively with a cross-functional team (including with non-technical colleagues)

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