onsite
Staff Software Engineer - Project Canary
Software Engineer
Lead the design and delivery of a cloud‑native data platform that ingests sensor streams, applies machine learning models, and powers emissions analytics for energy operators.
About the role
Key Responsibilities
- Architect and implement scalable data pipelines ingesting high‑frequency sensor data into AWS services.
- Design and deploy machine learning models that predict emissions and detect leaks, integrating them into real‑time dashboards.
- Collaborate with cross‑functional teams to define data models, APIs, and reporting standards for energy operators.
- Own end‑to‑end performance, reliability, and security of the platform, ensuring compliance with industry regulations.
- Mentor junior engineers, conduct code reviews, and champion best practices in cloud architecture and data engineering.
Requirements
- 10+ years of software engineering experience with a strong focus on data platforms.
- Proficiency in Python, AWS (Lambda, S3, Redshift, SageMaker), and container orchestration (ECS/EKS).
- Hands‑on experience building ML pipelines and deploying models at scale.
- Deep understanding of data modeling, ETL, and real‑time stream processing.
- Excellent communication skills and a proven track record of leading technical initiatives.
Skills
pythonawsmachine learninganalytics