This role is intended for someone who can operate with strong ownership, influence technical direction, mentor engineers, and ensure the delivery of secure, scalable, and production ready software aligned to the product roadmap.Job DescriptionKey Responsibilities
Lead architecture and implementation decisions across cloud infrastructure, backend services, APIs, and frontend applications
Own AWS architecture decisions including compute, networking, IAM, security, cost optimization, scalability, and reliability planning
Drive containerization and orchestration practices using Docker and Kubernetes, ideally within EKS based environments
Provide technical oversight and code review for frontend and UI development, establishing engineering standards, component design practices, and maintainable application structure
Design and lead development of backend services and REST APIs in Python with a strong focus on scalability, reliability, and maintainability
Partner with data science and analytics teams to productionize AI, ML, and LLM based capabilities into the SaaS platform
Champion AI assisted development practices using GitHub Copilot and Claude Code to improve engineering productivity, code quality, documentation, and automation workflows
Establish standards and guardrails for the responsible use of AI assisted coding tools, including considerations for security, IP, and data privacy
Lead code reviews, technical design discussions, and implementation planning across the engineering team
Mentor junior and mid level engineers on cloud engineering, frontend architecture, backend design, and modern development practices
Champion CI/CD, automated testing, DevOps practices, and release quality across the development lifecycle
Collaborate with product managers, architects, engineering leadership, and cross functional stakeholders to translate roadmap requirements into scalable technical solutions
Required Technical Skills
Deep hands on experience with AWS cloud services including EC2, ECS or EKS, IAM, S3, Lambda, VPC, networking, and cloud security fundamentals
Strong experience with Docker and Kubernetes, preferably with production deployments on AWS
Strong backend development experience in Python with hands on expertise in designing and building scalable services and REST APIs
Strong proficiency in modern frontend and UI development, preferably Angular, sufficient to guide architecture, review code, and establish development standards
Strong working knowledge of SQL and relational database design, including schema design, query optimization, and data access strategies
Experience designing and implementing CI/CD pipelines using tools such as Azure DevOps, GitHub Actions, or Jenkins
Strong understanding of microservices architecture, modular application design, and distributed systems fundamentals
Experience using AI assisted development tools such as GitHub Copilot and Claude Code in professional engineering workflows
Strong understanding of secure coding, code quality standards, production support expectations, and system maintainability
Preferred Skills and Experience
Exposure to Java and Spring Boot is a plus
AWS certification such as Solutions Architect Associate or Professional is preferred Experience with MongoDB or Redis for caching and specialized data access use cases
Familiarity with MLOps and integrating AI or ML services such as SageMaker or Bedrock into production systems
Experience establishing engineering standards, AI assisted development practices, or usage guardrails for a broader team
Experience working in enterprise SaaS, B2B, or cloud native platform engineering environments Domain exposure to energy, industrial, or oil and gas platforms is a plus
Experience supporting technical interviews, hiring decisions, onboarding, and team capability development.
Education Qualification & Years of Experience6 to 9 years of professional software engineering experience, including meaningful experience influencing architecture, mentoring engineers, and driving technical decisions.
For roles outside USA:
Bachelor's Degree in Computer Science or “STEM” Majors (Science, Technology, Engineering and Math) with basic experience.
Technology Stack ExpertiseCloud and Infrastructure
AWS, Docker, Kubernetes, EKS, IAM, networking, CI/CD
Backend
Python, REST APIs,Java (good to have)
Frontend and UI
Angular preferred, React or Vue also considered, TypeScript, HTML, CSS
Database
SQL and relational databases (must have), NoSQL databases such as MongoDB or DynamoDB (working knowledge)
Engineering Tools
Git, Azure DevOps, GitHub Actions, Jenkins
Modern Development Tooling
AI assisted development tools such as GitHub Copilot and Claude Code
Leadership, Mentoring, and Collaboration Expectations
Demonstrates strong technical leadership and ownership across architecture and delivery Provides mentorship and technical guidance to junior and mid level engineers. Drives engineering best practices in coding, testing, documentation, DevOps, and responsible AI assisted development.
Leads architecture reviews and technical discussions with clarity and sound judgment.
Builds effective working relationships across product, engineering, data science, analytics, and stakeholder teams
Contributes to hiring, onboarding, and long term team capability building
Additional InformationRelocation Assistance Provided: Yes
Skills Required
- 6 to 9 years of professional software engineering experience
- Hands-on AWS experience, including cloud architecture, compute, networking, IAM, security, scalability, and reliability
- Strong experience with Docker and Kubernetes
- Strong backend development experience in Python and scalable REST API design
- Strong proficiency in modern frontend and UI development
- Working knowledge of SQL and relational database design
- Experience designing and implementing CI/CD pipelines
- Understanding of microservices architecture and distributed systems
- Experience with AI-assisted development tools such as GitHub Copilot and Claude Code
- Understanding of secure coding, code quality, production support, and system maintainability
- Bachelor’s degree in Computer Science or a STEM major for roles outside the USA
- Experience with Java and Spring Boot
- AWS Solutions Architect certification
- Experience with MongoDB or Redis
- Familiarity with MLOps and AWS AI/ML services such as SageMaker or Bedrock
- Experience establishing engineering standards and responsible AI-assisted development practices
- Enterprise SaaS, B2B, or cloud-native platform engineering experience
- Experience supporting technical interviews, hiring, onboarding, and team capability development
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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