Full Stack Software Developer

Founded in 2019 and headquartered in Woburn, Massachusetts, VEIR is a U.S.-based designer and manufacturer of category-defining superconducting power delivery systems built for the extreme energy demands of the AI era. By commercializing next-generation superconducting technology into deployable, real-world systems, VEIR delivers ~10× higher power density than conventional options, enabling “speed-to-power” where incremental optimization falls short. VEIR’s initial focus is AI data centers behind the meter, with solutions engineered for repeatable deployment through reference designs and integrated controls, designed to incorporate learnings as deployments scale.

• Ramp on VEIR's existing data infrastructure, codebase, and analytics tooling -- understanding current architecture, data sources, and outstanding technical debt. 
• Contribute on bi-weekly sprints, developing incremental improvements to existing backend services or data pipelines. 
• Build working relationships with key internal stakeholders across product, engineering, and business development to understand how tools are used. 
• Establish proficiency with VEIR's cloud environment (GCP or Azure) and development workflows, including CI/CD and version control practices. 
• Identify and document two to three near-term areas where backend or pipeline improvements would have the highest impact on data reliability or system performance. 

• Own end-to-end development and delivery of at least one new feature or tooling component, from scoping through deployment. 
• Design and implement improvements to data pipeline reliability, performance, or scalability based on findings from your initial ramp. 
• Contribute meaningfully to secondary analytics work -- supporting or building models, algorithms, or statistical outputs that feed internal or external deliverables. 
• Develop and maintain API integrations or backend services that internal stakeholders depend on for day-to-day analytics workflows. 
• Participate actively in sprint planning, code reviews, and retrospectives, demonstrating consistent output and quality. 

• Be a recognized owner of one or more significant components of VEIR's analytics platform -- backend services, data pipelines, or modeling infrastructure -- and be responsible for their ongoing reliability and improvement. 
• Have shipped multiple production-quality features or tools that are actively used by internal stakeholders or incorporated into customer-facing deliverables. 
• Demonstrate measurable improvement to data pipeline performance, reliability, or coverage within your owned domain. 
• Contribute to the team's technical direction by surfacing architectural recommendations and helping evaluate technology choices. 
• Maintain a track record of clear, consistent communication with non-technical stakeholders, translating technical work into actionable insights and status updates. 

• 3-5 years of professional software development experience, with a demonstrated track record of full stack development or experience building software applications end to end, APIs, or data pipelines in production environments. 
• Strong Python and SQL proficiency -- you write clean, maintainable code and are comfortable with data manipulation at scale. 
• Experience using AI coding tools (Claude Code, Cursor, Copilot, etc.) as part of daily workflow without sacrificing code quality. 
• Hands-on experience with at least one major cloud platform (GCP, Azure, or AWS), including compute, storage, and managed data services. 
• Familiarity with Agile development practices, including sprint-based delivery, version control, and code review processes. 
• Experience communicating technical work to non-technical stakeholders, including verbal updates, written documentation, and data visualizations. 
• A secondary foundation in data analytics -- descriptive statistics, data modeling, or algorithmic processing -- that allows you to contribute meaningfully to analytical deliverables, not just infrastructure. 
• (Nice to have) Exposure to energy systems, power grid modeling, transmission planning, or related domains, including tools such as energy or grid modeling software or techno-economic analysis frameworks. 
• (Nice to have) Experience with distributed energy resources (DER) forecasting or energy market data. 

• Comfortable working independently in a fast-paced, research-oriented environment with multiple concurrent priorities. 
• Energized by solving hard, ambiguous problems and iterating quickly toward production-quality outcomes. 
• Collaborative and low-ego -- you share context openly, receive and apply feedback, and operate effectively across functional boundaries. 
• Driven by impact -- you prioritize ruthlessly, move with urgency, and hold yourself accountable to measurable results. 
• Curious about the energy transition and motivated by VEIR's mission to modernize power delivery infrastructure.