Role Summary
We are seeking a highly experienced Staff Backend Developer to anchor the engineering efforts for the CERius platform. You will serve as a primary technical authority, responsible for architecting high-scale, resilient backend systems that turn complex industrial data into actionable sustainability insights. You will move beyond task execution to define technical strategy and ensure the platform’s architecture remains robust, scalable, and secure in an AWS cloud-native environment.
Key Responsibilities
Architectural Leadership: Own the design and evolution of the CERius backend architecture, ensuring it supports high-throughput data processing and complex computational logic.
System Strategy: Drive long-term technical roadmaps, balancing the need for rapid feature delivery with the necessity of mitigating technical debt.
Engineering Excellence: Set the standard for clean, maintainable, and modular code. Act as the final point of escalation for complex architectural challenges and production-critical issues.
Cloud & Scalability: Architect and oversee the deployment of services within AWS, ensuring optimal performance, cost-efficiency, and high availability (using Docker, Kubernetes, and Serverless paradigms).
Mentorship & Influence: Serve as a technical mentor to senior and mid-level developers, conducting high-level code reviews and fostering a culture of TDD and operational rigor.
Cross-Functional Partnership: Collaborate directly with Product Management, Data Scientists, and Frontend leads to align backend capabilities with the CERius strategic vision.
Required Technical Skills
Advanced Backend Development (Python or Java):
Python: Expert-level mastery of asynchronous programming, performance optimization in FastAPI/Flask, and deep knowledge of memory management.
Java: Extensive experience with Spring Boot, JVM tuning, high-concurrency patterns, and large-scale microservice orchestration.
Advanced API & System Design:
Proven experience designing complex, versioned RESTful/gRPC API ecosystems for large-scale enterprise platforms.
Expertise in API security patterns, distributed request-response lifecycles, and managing high-scale third-party integrations.
Data Architecture & Strategy:
Deep expertise in relational (PostgreSQL/Oracle) and NoSQL (DynamoDB/MongoDB) database design.
Advanced query optimization, partitioning strategies, and ORM performance tuning at scale.
Experience designing data models that support both transactional reliability and analytical performance.
Deep experience designing distributed systems using asynchronous communication patterns.
Observability and Platform Reliability
Experience implementing monitoring, logging, tracing, and alerting solutions using CloudWatch, Grafana, Datadog, OpenTelemetry, or similar platforms.
Understanding of SLOs, SLIs, incident response processes, and production operational excellence.
AWS Cloud & DevOps Architecture:
Comprehensive experience in AWS services (S3, API Gateway, RDS, Lambda, EKS/ECS, AWS Bedrock).
Proficiency in containerization (Docker, Kubernetes) and infrastructure-as-code concepts.
Security
Experience implementing secure software development practices in cloud-native environments.
Strong understanding of IAM, encryption, secrets management, vulnerability remediation, and secure API design.
Software Engineering Leadership:
Mastery of Git workflows, CI/CD pipeline optimization, and advanced TDD/Integration testing frameworks.
Expertise in working within Agile/Scrum and ADO environments, with a focus on streamlining delivery processes.
Lead architecture reviews and establish backend engineering standards.
Required Qualifications
Education: Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
Experience: 10+ years of professional backend development, with at least 3+ years in a Staff, Lead capacity.
Proven Track Record: Demonstrable history of architecting systems that have scaled to meet significant user or data volume demands.
Soft Skills
Strategic Problem Solving: Proven ability to navigate ambiguity and prioritize technical initiatives based on business impact.
Communication: Exceptional ability to communicate architectural decisions and technical trade-offs to non-technical stakeholders and executive leadership.
Influence: Ability to lead through influence rather than command, fostering alignment across diverse, cross-functional teams.
Resilience: Track record of independently diagnosing and resolving complex, production-level system failures.
Preferred Technical Requirements
AI/GenAI Platform Capabilities
Experience integrating Large Language Models (LLMs) and AI services into enterprise applications.
Familiarity with Retrieval-Augmented Generation (RAG), vector databases, embeddings, and prompt orchestration frameworks.
Experience building scalable APIs and workflows that incorporate AI/ML services.
Understanding of AI observability, evaluation frameworks, hallucination detection, and production monitoring.
Experience with AI governance, model lifecycle management, and responsible AI practices.
Relocation Assistance Provided: Yes
Skills Required
- Bachelor's or Master's degree in Computer Science, Software Engineering, or related field
- 10+ years professional backend development experience with at least 3+ years in a Staff or Lead capacity
- Advanced backend development in Python (async, FastAPI/Flask, memory/performance tuning) or Java (Spring Boot, JVM tuning, concurrency)
- Designing complex, versioned RESTful and gRPC API ecosystems and API security patterns
- Database architecture experience with PostgreSQL, Oracle, DynamoDB and/or MongoDB including query optimization and partitioning strategies
- Experience designing distributed systems with asynchronous communication patterns and large-scale data processing
- Observability and reliability tooling experience (CloudWatch, Grafana, Datadog, OpenTelemetry) and SLO/SLI/incident response knowledge
- Comprehensive AWS experience (S3, API Gateway, RDS, Lambda, EKS/ECS, AWS Bedrock) and cloud-native architecture
- Containerization and orchestration (Docker, Kubernetes) and infrastructure-as-code proficiency
- Security best practices: IAM, encryption, secrets management, vulnerability remediation, secure API design
- Software engineering leadership: Git workflows, CI/CD pipeline optimization, TDD/integration testing, Agile/Scrum and Azure DevOps experience
- Mentorship and ability to lead architecture reviews and set backend engineering standards
- Experience integrating LLMs, RAG, vector databases, embeddings, or prompt orchestration frameworks
- Familiarity with AI observability, model lifecycle management, and responsible AI practices
GE Vernova Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about GE Vernova and has not been reviewed or approved by GE Vernova.
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Retirement Support — The 401(k) plan includes company matching contributions and additional company retirement contributions, with access to Fidelity resources and financial planning consultants. Feedback suggests this structure supports long-term savings beyond a basic match.
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Parental & Family Support — Paid parental leave is available with flexible, continuous or non-continuous usage, and is complemented by adoption resources and Work/Life Connections guidance. Maternity leave is described as extended relative to typical workplace norms.
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Leave & Time Off Breadth — Time-off programs include 12 paid holidays, permissive time off for many salaried roles, and dedicated personal, illness, and caregiving time for U.S. new hires. Some hourly roles start with a defined PTO bank, while other roles may offer unlimited time off.
GE Vernova Insights
What We Do
GE Vernova is a planned purpose-built company on a mission to electrify the planet while simultaneously working to decarbonize it. If we want our energy future to be different…we must be different. Our mission is embedded in our name. We retain our treasured legacy, “GE,” in our name as an enduring and hard-earned badge of quality and ingenuity. “Ver” / “verde” signal Earth’s verdant and lush ecosystems. “Nova,” from the Latin “novus,” nods to a new, innovative era of lower carbon energy that GE Vernova will help deliver. GE Vernova brings together GE’s portfolio of energy businesses including Power, Wind, Electrification and Digital businesses. With focus, GE Vernova is accelerating the path to more reliable, affordable, and sustainable energy, while helping our customers power economies and deliver the electricity that is vital to health, safety, security, and improved quality of life. Together, we have The Energy to Change the World.
Why Work With Us
Join our team, to evolve and grow, surrounded by some of the brightest minds in the industry who help you get better every day. You’ll get the chance to rewrite the rules, work on cutting-edge technology, and be part of a global team for positive change.
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