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GE Vernova

wind turbine blades · grid solutions

Staff Software Engineer- Java Fullstack

BangalorePosted 7 days ago
Software engineeringStaff+Full Time
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Job Description Summary Responsible for designing and programming a small module or a large component and designing a feature, set of features, or whole feature area. She/he will work independently and contribute to the immediate team and to other teams across business. She/he will Lead design discussion in a limited manner.

We are seeking a Staff Software Engineer to drive the design, development, and evolution of our cloud-native, multi-tenant SaaS platform. This role combines full-stack engineering, cloud infrastructure, database expertise, and Business Intelligence (BI) capabilities. You will lead architectural decisions, mentor engineers, and deliver end-to-end, data-driven solutions across frontend, backend, cloud, and analytics platforms. You will work closely with product managers, architects, and platform teams to define and implement scalable, secure, and high-performance systems.

Job Description Responsibilities & Required Skills Full-Stack Development Design and implement backend services using Java and Spring Boot , including RESTful APIs and microservices.

Build modern frontend applications with React, TypeScript, and JavaScript , delivering responsive and performant UIs.

Hands-on experience delivering end-to-end features : UI → backend → cloud → database.

Solid understanding of distributed systems, system design, and multi-tenant SaaS architectures .

Database & Data Platform Design, optimize, and maintain relational (RDS, Aurora, SQL Server) and NoSQL (DynamoDB) databases .

Build data pipelines and ETL/ELT processes , ensuring performance, scalability, and reliability.

Experience in query optimization, data modeling, and multi-tenant data isolation .

Business Intelligence & Analytics Hands-on experience with WebFOCUS, Power BI, or similar BI platforms .

Develop and integrate custom BI connectors, REST adapters, and reporting pipelines .

Enable self-service BI and dashboards , collaborating with product and UX teams to deliver actionable insights.

Cloud & Platform Engineering Deploy and operate applications on AWS (EKS, EC2, S3, RDS, DynamoDB, Lambda).

Containerize applications with Docker and orchestrate with Kubernetes .

Build and maintain CI/CD pipelines, infrastructure automation, and monitoring .

Ensure scalability, security, reliability, and cost efficiency of cloud-native systems.

Technical Leadership & Mentorship Own architecture and technical decision-making across frontend, backend, cloud, and BI systems.

Mentor senior and mid-level engineers, raising engineering standards and best practices .

Drive adoption of observability, monitoring, and security standards across teams.

Influence cross-team architecture, platform design, and SaaS product strategy .

Additional Information Relocation Assistance Provided: Yes

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