Staff Software Engineer

LineVision, Inc.•Boston, MA

3d•$160,000 - $180,000•Hybrid

About The Position

LineVision is seeking a Staff Software Engineer for its LineRate team to set the architecture and technical strategy for systems that transform large-scale time-series sensor data into ratings used by utility customers. The role spans the ratings generation library and microservice, a customer-deployable product, weather modeling tools, and front-end visualizations. The engineer will establish coherent technical direction across these systems, partner with Data Science to productionize research, collaborate with UI/UX and Product on APIs and data contracts, and lead complex initiatives across teams. The role also includes mentoring engineers and raising the team's technical capabilities. Participation in a compensated rotational on-call schedule is a condition of employment. In the first three months, the engineer is expected to learn how the core systems connect, make a meaningful contribution, build cross-functional relationships, and deliver an assessment of architecture risks and opportunities. Within six months, they are expected to lead a multi-codebase or multi-team initiative, propose an improvement to time-series data storage or retrieval, and influence roadmap discussions. Within the first year, they should become a recognized technical authority for at least one core codebase, lead a cross-functional initiative through delivery, coach multiple engineers, and establish a team practice or program. The position is full-time and hybrid, with 2–4 days per week in person at LineVision's Boston, Massachusetts headquarters. It reports to the Senior Software Engineering Manager.

Requirements

Expert proficiency in Python and JavaScript/TypeScript, with strong experience in React.
Proven experience designing and evolving systems using at least one relational database and one NoSQL database.
Experience deploying and operating production systems on a major cloud platform.
Track record of setting architecture across the stack, from data storage through APIs to UI.
Experience leading technical initiatives across multiple engineers or teams and mentoring other engineers.

Nice To Haves

Experience with Kubernetes.
Experience with Rust.
Experience designing large-scale time-series data systems.
Background working closely with data science or applied science teams to productionize research code.
Experience building engineering practices or programs that scaled beyond one's own team.

Responsibilities

Develop and maintain technical architecture for the ratings generation library and microservice, customer-deployable product, weather modeling tools, and front-end visualizations.
Partner with Data Science to move research code into reliable, scalable production services and develop reusable frameworks to accelerate this work.
Work with UI/UX and Product to design APIs and data contracts that provide the right data at the right time.
Design storage and retrieval strategies for large-scale time-series data, balancing cost, latency, and accuracy.
Lead complex, multi-team technical initiatives from scoping through delivery and guide teams through execution.
Influence roadmap priorities with Product and Engineering leadership, considering customer benefit, implementation time, and long-term technical cost.
Coach engineers through design reviews, code reviews, and pairing, and build programs that grow the team's technical capability.
Participate in a compensated rotational on-call schedule.
Assess current architecture and rank technical risks and opportunities by customer impact.
Become a technical authority for at least one core codebase and lead cross-functional initiatives through delivery.