11+ VMware vSphere Jobs in Bangalore (Bengaluru) | VMware vSphere Job openings in Bangalore (Bengaluru)

Key Responsibilities

• Develop new user-facing features using React.js and related libraries.
• Build reusable components and front-end libraries for future use.
• Translate designs and wireframes into high-quality, responsive code.
• Optimize components for maximum performance across a variety of web-capable devices and browsers.
• Collaborate with designers, product managers, and backend developers to deliver seamless user experiences.
• Debug and fix performance and UI issues.
• Write clean, maintainable, and testable code.
• Stay up-to-date with the latest trends and best practices in front-end development.

Required Skills & Qualifications

• Strong proficiency in JavaScript (ES6+), React.js, and Redux (or similar state management libraries).
• Experience with HTML5, CSS3, SASS, and responsive design principles.
• Familiarity with RESTful APIs and JSON.
• Understanding of Git and version control workflows.
• Knowledge of Webpack, Babel, or similar build tools.
• Good understanding of component-based architecture and front-end design patterns.
• Excellent problem-solving and debugging skills.
• Strong communication and teamwork abilities.

Preferred Qualifications (Nice to Have)

• Experience with TypeScript.
• Familiarity with Next.js, React Query, or React Router.
• Experience with Unit Testing frameworks (Jest, Enzyme, React Testing Library).
• Basic knowledge of Node.js or Express.js.
• Familiarity with CI/CD pipelines and DevOps tools.
• Exposure to Agile/Scrum methodologies.

Key Responsibilities

Test Architecture & Design

• Architect test frameworks and infrastructure to validate microservices and distributed systems in multi-cluster, hybrid-cloud environments.
• Design complex test scenarios simulating production-like workloads, scaling, failure injection, and recovery.
• Ensure reliability, scalability, and maintainability of test systems.

Automation & Scalability

• Drive test automation integrated with CI/CD pipelines (e.g., Jenkins, GitHub Actions).
• Leverage Kubernetes APIs, Helm, and service meshes (Istio/Linkerd) for automation coverage of health, failover, and network resilience.
• Implement Infrastructure-as-Code (IaC) practices for test infrastructure to ensure repeatability and extensibility.

Technical Expertise

• Deep knowledge of Kubernetes internals, cluster lifecycle management, Helm, service meshes, and network policies.
• Strong scripting and automation skills with Python, Pytest, and Bash.
• Hands-on with observability stacks (Prometheus, Grafana, Jaeger) and performance benchmarking tools (e.g., K6).
• Experience with cloud platforms (AWS, Azure, GCP) and containerized CI/CD.
• Solid Linux proficiency: Bash scripting, debugging, networking, PKI management, Docker/containerd, GitOps/Flux, kubectl/Helm, troubleshooting multi-cluster environments.

Required Skills & Qualifications

• 6+ years in QA, Test Automation, or related engineering roles.
• Proven experience in architecting test frameworks for distributed/cloud-native systems.
• Expertise in Kubernetes, Helm, CI/CD, and cloud platforms (AWS/Azure/GCP).
• Strong Linux fundamentals with scripting and system debugging skills.
• Excellent problem-solving, troubleshooting, and technical leadership abilities.
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Job Description

Role: Java Developer

Location: PAN India

Experience:4+ Years

Required Skills -

1. 3+ years Java development experience
2. Spring Boot framework expertise (MANDATORY)
3. Microservices architecture design & implementation (MANDATORY)
4. Hibernate/JPA for database operations (MANDATORY)
5. RESTful API development (MANDATORY)
6. Database design and optimization (MANDATORY)
7. Container technologies (Docker/Kubernetes)
8. Cloud platforms experience (AWS/Azure)
9. CI/CD pipeline implementation
10. Code review and quality assurance
11. Problem-solving and debugging skills
12. Agile/Scrum methodology
13. Version control systems (Git)

Machine Learning Engineer / AI Engineer

2 to 10 Years Experience

What if your models didn't just forecast demand — they autonomously acted on it?

We're building the next generation of supply chain intelligence, where AI agents don't just predict — they reason, decide, and adapt. If you're the kind of engineer who gets excited about turning a forecast into an autonomous decision engine, this role is for you.

Be Part of Something Bigger

At our core, we own the challenge and drive the future — taking full responsibility for delivering smart, sustainable solutions that optimize supply chains. We believe knowledge fuels confidence, fostering continuous learning, innovation, and expertise to push boundaries with clarity and purpose.

With a commitment to opportunities for all and growth for everyone, we create pathways for success, empowering individuals to thrive. Our strength lies in being stronger, smarter, together — harnessing diverse perspectives and collaboration to drive bold ideas. Above all, we focus on impact that matters and results that last, building intelligent, sustainable solutions that create long-term value for businesses and the world.

What You'll Build

You'll architect intelligent systems that sense demand shifts in real time and recommend actions before a human even asks. Specifically, you will work across:

•      Agentic AI pipelines that go beyond prediction — systems that reason, decide, and adapt autonomously

•      Advanced demand forecasting and sensing models using attribute-based and cohort-based approaches

•      Signal integration frameworks that fuse external data and real-time market inputs

•      Feature engineering at scale — lag structures, rolling aggregations, and derived features

•      Model performance frameworks tied directly to measurable business outcomes

•      Translating complex model insights into clear, actionable language for clients and leadership

Who You Are

You bring a strong foundation in machine learning and a genuine curiosity about where AI is heading. The ideal candidate has:

•      2–10 years of hands-on experience in ML, AI, or Data Science with proven model-building track record

•      Python fluency — pandas, scikit-learn, XGBoost, LightGBM are second nature to you

•      Deep understanding of time series forecasting and experience with large-scale transactional datasets

•      Ability to connect model outputs to real business impact and articulate the 'so what' clearly

•      Genuine curiosity about the power of AI and openness to emerging tools and paradigms — including agentic and generative AI

Bonus Points

•      Experience in retail, supply chain, or inventory planning domains

•      Exposure to hierarchical forecasting, new product forecasting, or ensemble methods

•      Hands-on work with LLM-based agents or orchestration frameworks

Why This Role Is Different

Your models won't sit in a notebook — they'll drive decisions for real companies managing real inventory and real revenue.

•      Work at the cutting edge of agentic AI in supply chain, a space being reinvented right now

•      See your models directly influence supply chain decisions for enterprise brands, retailers, and grocers

•      Collaborate with a team of domain experts, data scientists, and product leaders who obsess over outcomes

•      Invest your curiosity in shaping how AI transforms an entire industry from the ground up

Key Performance Indicators

•      Model accuracy, reliability, and real-world forecast performance

•      Speed and quality of model deployment to production pipelines

•      Business impact of AI-driven recommendations — measured in inventory efficiency and revenue outcomes

•      Cross-functional collaboration effectiveness with product, engineering, and client teams

What you will be doing

● Building and maintaining micro services.

● Develop new features and improve existing features of the application.

● Coding, Implementing, Unit Testing and Documenting Typescript and Javascript based services.

● Design, build, and maintain efficient, reusable, and reliable code.

● Code reviews and ensuring adherence to software development standards.

● Contribute to team and organizational improvements in process and infrastructure.

● Participating in requirements gathering and functional specification activities.

● Resolving and helping to mitigate production issues.

Strong Power Bi, Power App and SQL skills,

• Design and build compelling analyses, trending and/or forecasting reports using Microsoft Power BI.

• Design and build apps using power apps and power automate.

• Assist in the publishing of metrics dashboards by identifying, analyzing and interpreting trends or patterns in complex data sets.

• Define BI development objectives by analyzing user requirements while envisioning system features and functionality.

• Translate business needs into technical requirements, clearly communicate probable designs and create prototypes.

• Follow data and reporting performance optimization and tuning best practices.

• Conduct analytical activities of system data.

• Conducts complex data analysis and evaluates intangibles providing management with fact-based information.

• Knowledge of the supply chain domain.

• Proven, effective analytical skills

• Ability to work effectively under time constraints and multitask.

• Ability to work collaboratively across multiple functions and departments within the organization.

• Implementing Environment solutions for projects in a dynamic corporate environment
• Communicating and collaborating with project and technical teams on Environment requirements, delivery and support
• Delivering and Maintaining Environment Management Plans, Bookings, Access Details and Schedules for Projects
• Working with Environment Team on Technical Environment Delivery Solutions
• Troubleshooting, managing and tracking Environment Incidents & Service Requests in conjunction with technical teams and external partners via the service management tool
• Leadership support in the North Sydney office
• Mentoring, guiding and leading other team
• Creation of new test environments
• Provisioning infrastructure and platform

• Test data provisioning (privatization, traceability, ETL, segregation)
• Endpoint integration
• Monitoring the test environment
• Updating/deleting outdated test-environments and their details
• Investigation of test environment issues and at times, co- ordination till its resolution