11+ VMware vSphere Jobs in Mumbai | VMware vSphere Job openings in Mumbai

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

Job Title: MIS Operations Executive

Location: Mumbai, Maharashtra

Industry: Insurance

Experience Required: 1 -5 Years

Job Summary:

We are seeking a detail-oriented and analytical MIS Operations Executive to support data management, reporting, and operational efficiency within our insurance business. The ideal candidate will be responsible for generating accurate reports, maintaining databases, and assisting in decision-making through data insights.

Key Responsibilities:

• Prepare daily, weekly, and monthly MIS reports related to sales, operations, and performance metrics
• Collect, analyze, and validate data from multiple sources to ensure accuracy and consistency
• Maintain and update databases, dashboards, and reporting systems
• Support business teams with ad hoc data requests and analysis
• Identify trends, discrepancies, and areas for improvement in operational processes
• Ensure timely submission of reports to management
• Coordinate with cross-functional teams (sales, underwriting, claims) for data requirements
• Assist in automation of reports using Excel or MIS tools

Key Skills Required:

• Strong proficiency in MS Excel (Pivot Tables, VLOOKUP, formulas)
• Basic knowledge of MIS reporting and data analysis
• Good analytical and problem-solving skills
• Attention to detail and accuracy
• Ability to manage deadlines and multitask
• Good communication and coordination skills

Preferred Qualifications:

• Bachelor’s degree in Commerce, Business Administration, or related field
• Familiarity with insurance processes (policies, claims, underwriting) is a plus
• Knowledge of tools like Power BI, SQL, or advanced Excel will be an advantage

Salary: As per industry standards

Working Hours: Full-time

Career Growth: Opportunity to grow into senior MIS roles, data analytics, or operations management within the insurance domain

Role & Responsibilities:

About the Role:

We are seeking a highly driven and strategic Manager - Investment (Startup Fundraising) to lead fundraising, manage investor relationships, and drive portfolio growth. The role requires a mix of financial expertise, investor engagement, and strong networking ability to achieve AUM growth and revenue targets. The ideal candidate will have proven experience in capital raising, managing HNIs/Family Offices/Venture Partners, and expanding investor networks.

Key Responsibilities:

Fundraising & AUM Growth-

• Drive growth in Assets Under Management (AUM) by meeting set targets.
• Achieve quarterly and annual revenue targets through investor onboarding and capital deployment.

Investor Relationship Management-

• Research, identify, and connect with high-potential investors (HNIs, Family Offices, Institutions).
• Nurture relationships with inactive investors and convert them into active contributors.
• Build long-term trust by ensuring transparency, timely updates, and strong portfolio communication.
• Proactively outreach and pitch BizDateUp’s value proposition and curated startup campaigns.
• Seamlessly onboard new investors, ensuring smooth KYC, onboarding, and activation.

Business Development & Conversion-

• Source, qualify, and onboard new investors through referrals, networking, and events.
• Leverage existing investor networks for introductions and referrals.
• Manage pipeline of new investor conversions and ensure smooth onboarding process.

Networking & Outreach-

• Represent the firm in industry events, conferences, and investor summits to expand reach.
• Stay updated on funding trends, investor behavior, and competitive landscape.
• Conduct one-on-one investor meetings to present opportunities and investment strategies.
• Establish strong connections with Venture Partners, Family Offices, and Institutional Investors for strategic collaborations.

Strategic Input & Reporting-

• Prepare and present investment proposals and performance reports.
• Work closely with the investment team to align fundraising strategy with portfolio needs.
• Track KPIs (AUM growth, investor reach-outs, referrals, event participation, conversions, revenue).

Ideal Candidate:

• Strong investor management profile
• 4+ years of fundraising experience, with at least 1 year in Category II AIFs (PE / VC / Credit / Special Situations) selling to HNIs, Family Offices, or Wealth Managers.
• Must be proficient in pitching investment opportunities and onboarding investors
• Must have experience conducting investor meetings & presentations
• Must have experience achieving revenue targets
• Must have experience representing the company at networking events
• Must understand startup valuation basics, portfolio reporting, investment products.
• Must prepare investment proposals, performance reports, and KPIs.
• No strict requirement, but finance background preferred.
• Must have high ownership and target-driven mindset.
• Preferably from VC firms, AIFs, Wealth Management, Investment Banking, or startup fundraising roles.
• Events industry
• Experience in startup funding events & roadshows

We are looking for, Java Full stack Developer

Relevant Experience (In years): 4+ Years

Job Location: Mumbai

Skill: Java 8+, Spring Boot, Spring MVC, Angular JS, JSP, Servlet, JPA/Hibernate, REST Web service, SOAP web service, JQuery, Ajax, HTML5, CSS3, Java Script, JSON, Junit, MySQL, SVN/GIT,Genkins.

Role Category: Software Development

Education: BE / BTech in Any Specialization, MCA

Desired Competencies (Technical / Behavioral Competency)

• Has experience working on backend technologies Spring MVC, Spring Boot, and Spring JPA.
• Has experience working on Frontend technologies Angular, CSS, HTML, and JavaScript / JQuery
• Hands-on experience of MYSQL Database.
• Knowledge of containerization tools like Docker and Kubernetes.
• Good verbal and written communication and collaboration skills to effectively communicate with both business and technical teams.
• Comfortable working in a fast-paced, result-oriented environment.
• Able to understand the requirement quickly and efficiently, should be able to work independently.
• Significant Java Programming experience (in J2EE).
• Should be able to work with Agile Sprint and Scrum methodology.
• Should be able to understand the requirements clearly and document the same whenever required.
• Able to write reusable and scalable components and to build product aligned to platform architecture.
• Follow coding guidelines and write efficient code.
• Perform unit testing and preparation of unit test cases effectively.
• Explore new technologies and carryout POCs
• Willingness to explore and innovate new ideas with team members and appreciate individual inputs/ strengths
• To support product and team with positive attitude and full dedication.

Job Type: Full-time

Experience:

• Java: 4 years (Required)
• Spring Boot: 4 years (Required)

Work Location: In person

Head of AI Systems & Operations

Location: Vile Parle (Mumbai)

Company: Lighting Manufacturing Company

Employment Type: Full-Time

Experience: 1–3 Years

Reporting line: Directly to the Founder

About the Company

We are a fast-growing lighting manufacturing company with 150+ employees, strong online sales, and an expanding product portfolio.

We want to build a Tech-Driven company.  As our Sales and Marketing continue to grow rapidly, we now require strong operational systems to scale efficiently.

Role Overview

We are looking for a highly driven and system-oriented individual to take complete ownership of operational structuring and automation across the organization.

This role is focused on building AI-driven systems that bring clarity, control, and scalability, without the need for manual follow-ups or micromanagement.

Key Responsibilities

• Design and implement AI-based operational systems
• Automate inventory, stock monitoring, and supply chain workflows
• Integrate product costing with website listings for real-time margin visibility
• Build auto-check mechanisms for departmental performance
• Create clear dashboards for:
• Sales tracking
• Cost & profit monitoring
• Inventory health
• Dead stock identification
• Ensure all departments operate within structured processes
• Reduce dependency on manual supervision

Required Skills

• Familiarity with automation tools or AI integrations
• Strong logical thinking and system-building mindset
• Understanding of ERP systems / automation tools
• Experience with data tracking, dashboards, or business analytics
• Ability to structure operations in a growing company
• High ownership and accountability

Who Should Apply

• Young professionals looking to take on a high-impact role
• Individuals excited about building systems from scratch
• Candidates who prefer responsibility over routine

Why Join

• Direct exposure to founder-level decision making
• High-growth environment
• Opportunity to build and scale operational systems from the ground up

Note: Compensation will be aligned with industry benchmarks and will not be a limiting factor for the right candidate.

About Us :

We are the largest and most active online platform for international education!

Yocket was established in 2015 with a mission to connect people to the world's best learning opportunities.

Today, Yocket is the largest community-driven online platform for international education. We help study abroad aspirants by connecting them to the best universities over the world. Till date, we have helped more than 10,00,000 students across countries pursue their higher education.

Every day thousands of students use our products to explore universities and connect with peers and alumni from renowned universities. Recently we were chosen as one of the Top 100 Indian Startups by Google and MeitY’s Appscale Academy Initiative !! We’re also ranked #18 on AppStore Top Charts - Education!

At Yocket, we strive to help our employees find passion and purpose. Join us in changing the way students make their decisions about education. If you wish to create an impact and help students get the best education by taking our vision ahead, we would love to have you on our team!

Job Description:

-The employee will be involved in direct sales.

- Will be responsible to build rapport with students and their parents.

- Needs to have an understanding of the student profile.

- Good to have CRM Knowledge

- Good target records

- Open to making from different sources

- Open to traveling

- Open to attending Virtual events and Physical events/seminars/Webinars

Requirements:

0- 1 year of experience in Sales

- Bachelor's degree or equivalent experience.

- Excellent written and verbal communication skills.

- Highly organized with excellent attention to detail.

- Prior experience in sales/knowledge of sales tools

Benefits :

* Medical Insurance

* 6 days a week and Flexible work timings

* No boss kinda culture (We have mentors, not bosses, bring your own idea to the table without any hesitation)

* Access to your personal psychological counselor (We take care of your mental well-being)

*Please note that the selected candidate will have to work from our Mumbai Office for 6 days*

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