Full Stack Developer at Egen, focusing on Nest.js and Node.js for driving data insights. Building scalable applications on Google Cloud and ensuring high performance with frontend and backend technologies.
About the role
- Senior Full-Stack Software Engineer designing and delivering edge intelligence for decentralized grid operations. Focused on real-time reliability, autonomy, and security for critical energy systems.
Responsibilities
- Design federated data and learning frameworks that connect distributed edge systems securely and reliably
- Engineer fault-tolerant data synchronization and concurrency control across distributed edge environments
- Build and deploy edge-native software components for decentralized operation, sensing, and control
- Integrate field data sources (SCADA, PMUs, IEDs, Sensors, and Edge Controllers) and IoT protocols/networks (LoRa, MQTT, DNP3, Modbus)
- Collaborate with systems and data engineers to close the loop between simulation and live operations
- Collaborate with cross-functional teams to integrate AI/ML capabilities and emerging solutions into existing platforms
- Manage and mentor Software engineers, guide technical guidance and help shape entrepreneurship and technical excellence
- Articulate complex technical solutions and their associated business value to leadership and non-technical stakeholders
Requirements
- Master’s degree in electrical engineering or computer science
- minimum of 10 years’ experience in the power or industrial system domain
- Minimum 5+ years of hands-on experience in building real-time simulation platforms
- Deep experience with distributed systems and federated architectures
- Strong skills in script writing using MATLAB, Go, Rust, Python (backend/edge) and HTML, CSS, TypeScript/React or Angular (UI)
- Deep Experience with Kubernetes/K3s, Kafka/NATS, MQTT, gRPC, Pulsar, InfluxDB/TimescaleDB, and observability stacks (Prometheus, Grafana)
- Hands-on work with AI/ML models in production environments
- Work experience with federated learning or lightweight model inference frameworks
- Work experience with Digital Twin/Simulation modeling: OpenFMB, Modelica, graph-based modeling and AI/ML algorithms development
- Track record of building, shipping, and scaling complex software systems
- Exposure to grid operations, DER management, and industrial IoT environments
Benefits
- medical, dental, vision, and prescription drug coverage
- access to Health Coach from GE Vernova, a 24/7 nurse-based resource
- access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services
- GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions
- access to Fidelity resources and financial planning consultants
- tuition assistance
- adoption assistance
- paid parental leave
- disability benefits
- life insurance
- 12 paid holidays
- permissive time off
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