11+ VMware vCloud Jobs in India

This role will drive operations on focused contractual agreements while working with a team of highly motivated, technical individuals who work in a collegial, collaborative work environment. Your key role is leading and coordinating a multisite VMWare operation ensuring systems and resources remain operational. In addition, you would contribute to the analysis and formulation of strategic performance direction across all areas of responsibility.

Primary Responsibilities

• Support the full system engineering life-cycle of VMware infrastructure: requirements analysis, design, development, integration, testing and implementation
• Manage and maintain multiple vCenter, vSphere, ESXi systems to include VSAN clusters
• Ensure security patching and system hardening are maintained to meet integrity and availability requirements
• Maintain system resource optimization based on analysis of hosted systems
• Draft and review information security policies, standards, and procedures.
• Complete risk and vulnerability assessment at the network, system, and application level.
• Complete regular situational awareness reports and daily monitoring

Desired Certifications / Training:

• VMware VCP or higher
• System Admin / Data Center Admin Training 

EDUCATION & EXPERIENCE:  

• Requires BE
• 1.5 +  – 7  years of prior relevant experience

Target Closure of Hiring  

• 12th Dec 2022

• 4 L to 16 L INR 

• No

• as per Shift  on Roaster

• Mumbai

Role: Mobile Automation Engineer (SDET) — On-site, India

Role & Responsibilities

• Design, build and maintain scalable mobile test automation frameworks for Android and iOS using Appium, Espresso, XCUITest or equivalent tools to support continuous delivery.
• Create and own automated test suites (functional, regression, UI, and smoke) that run reliably in CI/CD pipelines (Jenkins/GitHub Actions) and on cloud device farms (BrowserStack/Sauce Labs).
• Collaborate with Developers and Product Owners to translate requirements into test strategies, write robust test cases, and automate end-to-end and integration scenarios (including API tests).
• Investigate, triage, and debug failures — use device logs, ADB, Xcode traces, and performance tools to isolate flakiness and reliability issues and drive fixes.
• Integrate automated tests into build pipelines, enforce quality gates, and provide actionable reporting and metrics for release readiness.
• Advocate and implement test automation best practices: code quality, modular frameworks, reusability, CI parallelization, and maintainable test data strategies.

Skills & Qualifications

• Must-Have
• 3+ years in mobile QA/automation with hands-on experience in Appium or native frameworks (Espresso/XCUITest) across Android and iOS.
• Strong programming skills in Java/Kotlin or Swift and working knowledge of Python or JavaScript for scripting and test tooling.
• Experience integrating automated suites into CI/CD (Jenkins/GitHub Actions) and executing on real & virtual device clouds (BrowserStack/Sauce Labs).
• Practical experience with API testing (REST), test frameworks (TestNG/JUnit/Mocha), and source control (Git).
• Solid debugging skills using ADB, Xcode, Android SDK, and familiarity with mobile performance profiling.
• Preferred
• Experience building custom automation frameworks, parallel test execution, and reliability/flakiness reduction strategies.
• Knowledge of CI orchestration, containerized test runners, and mobile security or accessibility testing.
• ISTQB or equivalent QA certification, prior experience in Agile/Scrum teams, and exposure to device lab management.

• Recognizes and seizes opportunities to contribute to agency new business
• Build product GTM narrative, and clearly explain products, value proposition, commercial and engagement model
• Organize Product trainings and roadshows across agencies
• Accountable for maintaining a positive relationship with Media agency, and providing clear lanes of communication and support
• Responsible for development of direct reports
• Establish regular check-ins with key stakeholders
• Understand who and when to pull in Tech Product team to support client-direct conversations, and more specific requests
• Manage & prioritize incoming requests from agencies
• Partner with business stakeholders to define product application & usage goals and working to ensure solutions are properly integrated, applied, and activated
• Provide feedback to product team share client & agency specific feedback, areas for improvement, opportunities, etc.
• Display strong consulting and collaboration skills
• Exhibits enthusiasm for clients’ business and industry. Maintains leading edge of knowledge of clients’ business and industry

• 10+ years of experience, ideally in a digital or media agency or consultancy
• Strong knowledge of leading data and technology tools
• Excellent written and verbal communication skills, including demonstrated ability to create and deliver professional presentations and customer deliverables requiring little review/input from others.
• Strong attention to detail, excellent organization skills, and ability to manage multiple projects
• Demonstrable track record of success in operations and client engagement in a cross-functional environment, including product, tech, or media.
• Has deep knowledge and experience with paid media agencies

• Discussing project aims with the client and development team.
• Designing and building web applications using Laravel.
• Troubleshooting issues in the implementation and debug builds.
• Working with front-end and back-end developers on projects.
• Testing functionality for users and the backend.
• Ensuring that integrations run smoothly.
• Scaling projects based on client feedback.
• Recording and reporting on work done in Laravel.
• Maintaining web-based applications.
• Presenting work in meetings with clients and management.

• A degree in programming, computer science, or a related field.
• Experience working with PHP, performing unit testing, and managing APIs such as REST.
• A solid understanding of application design using Laravel.
• Knowledge of database design and querying using SQL.
• Proficiency in HTML and JavaScript.
• Practical experience using the MVC architecture.
• A portfolio of applications and programs to your name.
• Problem-solving skills and critical mindset.
• Great communication skills.
• The desire and ability to learn.

We’re looking to hire someone to help scale Machine Learning and NLP efforts at Episource. You’ll work with the team that develops the models powering Episource’s product focused on NLP driven medical coding. Some of the problems include improving our ICD code recommendations , clinical named entity recognition and information extraction from clinical notes.

This is a role for highly technical machine learning & data engineers who combine outstanding oral and written communication skills, and the ability to code up prototypes and productionalize using a large range of tools, algorithms, and languages. Most importantly they need to have the ability to autonomously plan and organize their work assignments based on high-level team goals.

You will be responsible for setting an agenda to develop and ship machine learning models that positively impact the business, working with partners across the company including operations and engineering. You will use research results to shape strategy for the company, and help build a foundation of tools and practices used by quantitative staff across the company.

What you will achieve:

• Define the research vision for data science, and oversee planning, staffing, and prioritization to make sure the team is advancing that roadmap

• Invest in your team’s skills, tools, and processes to improve their velocity, including working with engineering counterparts to shape the roadmap for machine learning needs

• Hire, retain, and develop talented and diverse staff through ownership of our data science hiring processes, brand, and functional leadership of data scientists

• Evangelise machine learning and AI internally and externally, including attending conferences and being a thought leader in the space

• Partner with the executive team and other business leaders to deliver cross-functional research work and models

Required Skills:

• Strong background in classical machine learning and machine learning deployments is a must and preferably with 4-8 years of experience

• Knowledge of deep learning & NLP

• Hands-on experience in TensorFlow/PyTorch, Scikit-Learn, Python, Apache Spark & Big Data platforms to manipulate large-scale structured and unstructured datasets.

• Experience with GPU computing is a plus.

• Professional experience as a data science leader, setting the vision for how to most effectively use data in your organization. This could be through technical leadership with ownership over a research agenda, or developing a team as a personnel manager in a new area at a larger company.

• Expert-level experience with a wide range of quantitative methods that can be applied to business problems.

• Evidence you’ve successfully been able to scope, deliver and sell your own research in a way that shifts the agenda of a large organization.

• Excellent written and verbal communication skills on quantitative topics for a variety of audiences: product managers, designers, engineers, and business leaders.

• Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling

Qualifications

• Professional experience as a data science leader, setting the vision for how to most effectively use data in your organization

• Expert-level experience with machine learning that can be applied to business problems

• Evidence you’ve successfully been able to scope, deliver and sell your own work in a way that shifts the agenda of a large organization

• Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling

• Degree in a field that has very applicable use of data science / statistics techniques (e.g. statistics, applied math, computer science, OR a science field with direct statistics application)

• 5+ years of industry experience in data science and machine learning, preferably at a software product company

• 3+ years of experience managing data science teams, incl. managing/grooming managers beneath you

• 3+ years of experience partnering with executive staff on data topics