As a Staff Engineer, you will define backend architecture for SaaS solutions, guide engineering best practices, and work closely with cloud, platform, UI, and data teams. You will remain highly hands-on while influencing technical strategy, enabling rapid, reliable delivery through modern DevOps, CI/CD, and cloud-native practices. Exposure to Python, AI/ML, and GenAI-driven development is a strong plus.Job Description
Key Responsibilities
- Architect, design, and develop cloud‑native, multi‑tenant SaaS backend services using Java and the Spring ecosystem.
- Define and evolve scalable, secure, and high‑performance system architectures for distributed, multi-tenant platforms.
- Design and implement microservices-based architectures, ensuring loose coupling, resiliency, and scalability.
- Build SaaS capabilities such as tenant isolation, configuration management, feature flags, and role-based access control.
- Develop and maintain RESTful and event-driven services integrated with UI, data, and platform layers.
- Leverage containerization (Docker) and orchestration (Kubernetes) to deploy and scale services in cloud environments.
- Collaborate with cloud and DevOps teams to implement CI/CD pipelines for build, test, security scan, and deployment.
- Apply Test-Driven Development (TDD) and test automation to ensure high code quality and system reliability.
- Design systems with strong emphasis on security, observability, performance, and fault tolerance.
- Use Python to build lightweight microservices, automation scripts, or rapid prototypes where appropriate.
- Explore and apply AI/ML, GenAI, and LLM-based solutions to improve platform capabilities and engineering productivity.
- Mentor engineers, conduct design and code reviews, and drive backend engineering standards across teams.
- Partner closely with product management and architecture teams to align technical solutions with business goals.
Must-Have Skills & Qualifications
- 10–12 years of software engineering experience, with significant hands-on work in backend and distributed systems.
- Strong proficiency in Java and Spring (Spring Boot, Spring Cloud).
- Deep understanding of object-oriented design principles, design patterns, and clean architecture.
- Proven experience designing and building secure, scalable, high-performance distributed systems.
- Strong experience with microservices architectures.
- Hands-on experience with:
- Containerization: Docker
- Orchestration: Kubernetes
- Cloud platforms: AWS
- Solid experience with Git, Jenkins, and modern CI/CD practices.
- Strong experience with Test-Driven Development (TDD), test automation, and continuous integration.
- Experience building and operating production-grade SaaS platforms.
Good-to-Have Skills
- Experience with Python for scripting, automation, or building lightweight microservices.
- Exposure to Python-based ML, GenAI, AI tools, and LLM models.
- Hands-on experience using AI coding assistants (e.g., GitHub Copilot) to improve developer productivity.
- Familiarity with event streaming, messaging systems, or distributed data stores.
- Experience with observability tools for monitoring, logging, and tracing in cloud-native systems.
Leadership & Collaboration
- Ability to influence system architecture and technical direction across multiple teams.
- Strong communication skills to translate complex technical concepts to diverse stakeholders.
- Proven experience mentoring engineers and fostering engineering excellence.
- Comfortable balancing deep hands-on development with technical leadership and ownership.
Education
- Bachelor's Degree in Computer Science or “STEM” Majors (Science, Technology, Engineering and Math)
Relocation Assistance Provided: Yes
Skills Required
- 10-12 years software engineering experience
- Proficiency in Java
- Proficiency in Spring (Spring Boot, Spring Cloud)
- Strong object-oriented design, design patterns, clean architecture
- Designing and building secure, scalable, high-performance distributed systems
- Experience with microservices architectures
- Containerization: Docker
- Orchestration: Kubernetes
- Cloud platforms: AWS
- Git and Jenkins
- CI/CD practices, Test-Driven Development (TDD), and test automation
- Experience building and operating production-grade SaaS platforms
- Bachelor's degree in Computer Science or STEM
- Python for scripting, automation, or lightweight microservices
- Exposure to Python-based ML, GenAI, or LLM models
- Experience with AI coding assistants (e.g., GitHub Copilot)
- Familiarity with event streaming, messaging systems, or distributed data stores
- Experience with observability tools for monitoring, logging, and tracing
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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