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    Job · 21307396

    BENGALURU · FULLTIME

    Sr Software Engineer

    GE Vernova

    GE Vernova

    Bengaluru · onsite · Posted 4d ago

    Sourced fromNaukri
    Undisclosed6–9 yrsfulltimeBengaluru

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    Section · 01

    About this role

    Job Description Summary
    We are seeking a highly capable Senior Software Engineer to lead cloud architecture and full stack development for our enterprise SaaS platform. This role requires a hands on technical leader who can drive scalable solution design across backend services, cloud infrastructure, APIs, and frontend architecture. The ideal candidate will bring deep expertise in AWS cloud native development, strong prociency in modern UI development preferably Angular, and the ability to guide engineering standards across the team.
    This role is intended for someone who can operate with strong ownership, inuence technical direction, mentor engineers, and ensure the delivery of secure, scalable, and production ready software aligned to the product roadmap.


    Job Description

    Key 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 workows
    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 prociency in modern frontend and UI development, preferably Angular, sucient 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 workows
    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 certication 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 Experience

    6 to 9 years of professional software engineering experience, including meaningful experience inuencing 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 Expertise

    Cloud 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 eective working relationships across product, engineering, data science, analytics, and stakeholder teams
    Contributes to hiring, onboarding, and long term team capability building





    Additional Information
    Relocation Assistance Provided: Yes

    Sourced from naukri

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    Section · 02

    Skills

    AutomationAzure DevopsBedrockAws ArchitectureclaudeCI/CD PipelinesApplication Designapisautomated testingcachingamazon web servicesCapability BuildingB2BAnalyticsArchitectureAngularjsMicrosoft AzureBackend DevelopmentArtificial Intelligence

    Section · Company

    About GE VERNOVA

    GE Vernova

    GE Vernova

    Power

    10k+

    employees

    Cambridge, MA

    US

    About

    Addresses the urgent challenge of decarbonizing commercial aviation, aiming to innovate for a sustainable future in flight.

    Industries

    PowerHardware & NetworkingEngineering & ConstructionOil & GasSoftware ProductIndustrial Automation

    Employee ratings

    1,495 reviews

    4.1/ 5

    Culture

    4.1

    Career growth

    3.3

    Work-life

    4.1

    Employees rate it well for

    Work Culture189Work Life Balance169Job Security148Learning112Senior Management110

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