We are looking to add a Senior Software Engineer who will own and scale Joulea’s core backend and platform systems to support 10,000s of users and power accurate, ML- and BEM-driven energy assessment for commercial buildings.
About Us
Joulea is a startup building a software platform that reduces energy consumption in commercial buildings. Buildings consume 40% of the total energy in the United States and emit over 10% more greenhouse gas emissions than the entire transportation sector combined - vehicles, trucks, aircraft, rail and ships. A significant portion of commercial building budgets are spent and wasted on energy usage. We use the aerospace industry’s product lifecycle management principles in order to create a novel approach to apply them to commercial real estate. Joulea implements holistic, integrated optimization methods that redefine energy efficiency and reduce operating costs within commercial buildings.
We are an ATDC portfolio company backed by WeMarathon, with offices located at ATDC in Midtown Atlanta. Joulea is SOC 2 Type II compliant across all five Trust Services Criteria, reflecting our strong commitment to security, availability, processing integrity, confidentiality, and privacy. We are seeking team members who are excited to take an already high-performing, security-first platform to the next level as we continue to scale.
Job Description
We are seeking a Senior Software Engineer who will own and scale Joulea’s core backend and platform systems to support 10,000s of users and power accurate, ML- and BEM-driven energy assessment for commercial buildings
This is a hands-on senior engineering role focused on backend systems, distributed infrastructure, and production reliability, with responsibility for integrating machine learning and building energy models into a unified, scalable platform.
Responsibilities
Design, build, and operate backend APIs and services using FastAPI (Python) to support user-facing applications
Scale distributed systems that ingest, process, and serve large volumes of building, sensor, and energy data
Integrate ML models and BEM workflows into production backend services
Build and operate ML-enabled pipelines using tools such as PyTorch Lightning
Utilize Orchestration tool like Apache Airflow
Architect and operate platform infrastructure on AWS
Deploy services using Docker and Kubernetes
Implement observability, monitoring, and alerting to ensure production reliability
Collaborate closely with frontend (TypeScript / React), ML, and product teams
Drive architectural decisions balancing performance, cost, security, and scalability
Remain deeply hands-on in production code and infrastructure
Requirements
6+ years of software engineering experience, with strong backend and platform ownership
Expert proficiency in Python and backend frameworks such as FastAPI
Experience building and operating distributed systems in production
Strong background in machine learning and deep learning
(computer vision experience is a strong plus)
Experience designing ML infrastructure and data engines for training and inference
Familiarity with integrating advanced models (LLMs, LVMs, RAG) into production systems
Experience with AWS, Infrastructure as Code, and cloud-native architectures
Solid understanding of networking, authentication, and access control
Strong collaboration skills and comfort working across engineering, ML, and product teams
This Role Is for You If You
Identify primarily as a platform / backend engineer
Have shipped and scaled production systems
Care deeply about reliability, correctness, and long-term system health
Enjoy enabling ML and modeling teams through strong platforms
Lead by doing and take responsibility for what runs in production
Technologies We Use
Backend: Python, FastAPI
Frontend: TypeScript, React
ML / Data: PyTorch Lightning, Apache Airflow
Infrastructure: AWS, Terraform, Docker, Kubernetes
Storage & Data: PostgreSQL, S3
Benefits
Competitive Salary
Equity Compensation
Full Health, Vision, and Dental Insurance
Per Diem
