Sr Software Engineer
- Source: Naukri
- GE VERNOVA
- On-site
- Bengaluru
- Full-Time
- Senior
Job Description
**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. …
Skills
- amazon-web-services
- aws-iam
- Docker
- Kubernetes
- Python
- Github
- gitHub-copilot
- claude-code
- guardrails
- amazon-ec2
- amazon-ecs
- amazon-eks
- amazon-s3
- aws-lambda
- amazon-vpc
- google-vpc
- microsoft-azure
- azure-devops
- github-actions
- Jenkins
- Java
- spring
- spring-boot
- MongoDB
- Redis
- bedrock
- React
- TypeScript
- microsoft-typescript
