Jobs
Benefits & Perks
•Relocation Assistance
Required Skills
Java
Spring
Microservices
Distributed Systems
System Design
Test-Driven Development
Job Description Summary
We are looking for a Staff Software Engineer – Java/Spring to lead the design, development, and evolution of cloud‑native, multi‑tenant, and highly scalable SaaS platforms. This role requires deep expertise in Java and Spring-based ecosystems, strong system design skills, and hands-on experience building secure, high-performance distributed systems.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.)
Additional Information Relocation Assistance Provided: Yes
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About GE Vernova
Reviews
3.8
34 reviews
Work Life Balance
3.7
Compensation
3.7
Culture
3.8
Career
3.7
Management
3.6
77%
Recommend to a Friend
Pros
Good work-life balance and flexible environment
Opportunity for career growth
Competitive compensation and benefits
Cons
Room for improvement in processes
Internal communication could improve
Some organizational bureaucracy
Salary Ranges
309 data points
Junior/L3
Junior/L3 · Business Analyst
0 reports
$92,460
total / year
Base
-
Stock
-
Bonus
-
$78,591
$106,329
Interview Experience
4 interviews
Difficulty
3.3
/ 5
Duration
14-28 weeks
Experience
Positive 0%
Neutral 50%
Negative 50%
Interview Process
1
HR Interview
2
Digital Interview
3
Technical Rounds
4
Hiring Manager Interview
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