Senior Software Engineer - Energy Data and AI

Enerva Energy Solutions Inc — Canada · Posted ~2 hours ago

Senior

Skills

Software architecture Web application development Data platform development Data pipelines Data modeling Data validation AI/ML LLM integration Mentoring LLMs Web applications Data platforms

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Summary ✨ AI‑Generated

Lead the technical direction of software and data systems supporting energy and emissions analysis. You will remain hands-on while designing web applications and data platforms, owning end-to-end data pipelines, determining practical uses for LLMs and AI/ML, and mentoring a small engineering team.

Highlights

Hands-on senior role with ownership of architecture, data platforms, and AI/ML direction. Provides opportunities to mentor developers, work directly with clients and leadership, and shape systems supporting energy and emissions analysis.

Description

About the Role We're looking for a Senior Software Developer to shape the technical direction of the tools at the core of our energy and emissions work — including the AI-driven features we think will set our products apart. You'll own systems, not just features: setting architecture, choosing where AI genuinely earns its place, and raising the bar for how we build and ship.This is still a hands-on role. You'll write a lot of production code, but you'll also mentor other developers, work directly with clients and leadership, and make the calls that keep a small team moving fast without breaking what matters. Responsibilities Lead the design and architecture of our web applications and data platform, making the trade-offs between speed, cost, and long-term maintainability.Own our energy and emissions data pipelines end to end — ingestion, modeling, validation, and the data quality that clients and reporting depend on.Set the direction for AI/ML in our products: decide where LLM-based tooling, automation, and analytics add real value, build the first versions, and take the best ones to production.Design robust APIs and integrations, and establish the patterns others on the team build on.Own reliability in production — monitoring, security, cloud infrastructure, and cost — and lead the response when something breaks.Mentor junior and intermediate developers through code review, pairing, and technical guidance.Work directly with clients, domain experts, and leadership to turn fuzzy requirements into clear technical plans and realistic estimates.Shape how we work: development practices, testing, CI/CD, and the tools we choose to adopt (or not). Qualifications 5+ years of professional software development, with a track record of designing and shipping production systems you owned end to end. Required Skills Deep expertise in Python and at least one modern web stack (e.g. JavaScript/TypeScript with React), plus the judgment to know when to reach for something else.Strong SQL and relational database design skills, and solid experience building and running workloads on AWS or Azure — infrastructure as code, CI/CD, monitoring, and cost control.Production experience with AI/ML: you've shipped LLM-based features or ML models to real users and dealt with evaluation, cost, latency, and failure modes, not just demos.Experience making architecture decisions, documenting them, and living with the consequences.A history of mentoring other developers and raising the quality of a team's work.Clear communication with technical and non-technical people alike, and a bias toward shipping without cutting the corners that matter.We hire on capability. Expect a technical assessment focused on system design and real-world judgment, not trivia. Preferred Skills Data-engineering depth: orchestration tools, time-series data, or large-scale ETL.Background in energy, sustainability, or climate — especially emissions accounting, GHG reporting, or energy modeling.Experience as a tech lead or founding engineer in an early-stage or small-team environment.Experience with security, compliance, or data governance for client-facing systems.