11+ VMware Site Recovery Manager Jobs in Mumbai | VMware Site Recovery Manager 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

Senior MLOps Engineer

LLM Operations, Observability & Eval Infrastructure

📍 Mumbai (On-site) | Full-time | 5-7 years

About the Role:

Unico Connect is an AI-first technology partner that builds custom mobile, web, and AI products for clients across multiple geographies.

We are hiring a Senior MLOps Engineer for a dedicated client engagement focused on building an AI-powered application builder platform. The platform consumes LLMs at scale through provider APIs.

This role owns the operational discipline around production LLM consumption - increasingly called LLMOps - covering observability, evaluation infrastructure, model lifecycle, cost operations, prompt deployment, and agent run reliability.

The mandatory requirement is hands-on production experience operating LLM-backed systems, with a strong DevOps or SRE foundation. This is not a model training or ML science role.

The work is making the system around the AI engineer's designs observable, controlled, reliable, and economically accountable. You will pair daily with the Senior AI Engineer, who designs prompts, evals, and agent behaviour - you operationalise those systems for production.

A typical week includes a tracing audit on a degraded agent run, an eval pipeline build for a new model release, a cost attribution review, and a staged prompt rollout.

Responsibilities:

Observability and Tracing

Build and own end-to-end tracing for agent runs: every prompt, response, tool call, token count, latency, and cost, linked to user session and project.

Stand up and operate LLM observability tooling (Langfuse, LangSmith, Braintrust, or Arize Phoenix).

Make debugging a single bad agent run among thousands a routine workflow through searchable traces, failure taxonomies, and dashboards segmented by task type.

Evaluation Infrastructure as a Production System

Operationalise the eval suite designed by the Senior AI Engineer: automated execution in CI on every prompt or model change, with results stored and trended over time.

Implement regression gates that block quality-degrading changes from shipping.

Build production sampling to continuously score a sample of real agent runs and catch quality drift that offline evals miss.

Model Lifecycle Management

Pin model versions, never "latest".

Own the upgrade process: run the eval suite against new model releases and manage eval-gated migrations.

Maintain fallback chains across providers for graceful degradation or queueing during outages.

Track provider deprecation schedules and plan migrations ahead of forced cutoffs.

Cost Operations

Implement per-user and per-task cost attribution - token spend is the platform's largest variable cost and requires the same rigour as cloud cost management.

Set up budget alerts and anomaly detection so a single user or bug cannot burn significant spend overnight.

Monitor prompt cache hit rates and quantify savings.

Manage capacity planning around provider rate limits, including quota negotiation and throughput tiering.

Prompt and Configuration Deployment

Treat prompts as production artifacts: version control for prompts and agent configurations, staged rollout infrastructure (deploy a prompt change to a percentage of traffic before full rollout), A/B testing infrastructure, instant rollback, and audit history covering which prompt version served which user and when.

Reliability Engineering for Agent Runs

Agent runs are long, stateful, and failure-prone.

Own retry and resume semantics so a run that fails mid-way does not restart from scratch.

Implement timeouts and circuit breakers on provider calls, dead-letter handling for failed runs, and queue and concurrency management for agent workloads.

SLO Ownership and Incident Response

Define and track SLOs for agent run latency and completion rates.

Lead incident response when SLOs are breached.

Write postmortems.

Surface reliability risks proactively before they reach users.

Safety and Compliance Operations

Run the moderation pipeline (prompt and output classification) in production.

Monitor for abuse patterns and own incident response when the agent misbehaves at scale.

Maintain audit logs and implement data retention and residency policies for prompts and generated code as enterprise requirements emerge.

AI-Assisted Engineering Discipline

Use Claude, Cursor, and similar tools day to day for infrastructure code, scripts, and pipelines.

Set the team standard for safe use, review, and validation of AI-generated infrastructure before it ships.

Requirements:

Hands-on production ownership of LLM-backed systems in operation (mandatory).

Must have personally shipped and operated at least one LLM-powered system in production, with operational responsibility including oncall, incident response, and reliability ownership.

Alternatively: strong DevOps or SRE background with demonstrated hands-on familiarity with LLMOps tooling (Langfuse, LangSmith, Braintrust, Arize, or equivalent).

POCs and lab work do not qualify.

5+ years of overall engineering experience

With at least 2 years in DevOps, SRE, platform engineering, or LLM operations roles.

This is not an ML science role.

A DevOps or SRE background with a substantive pivot into LLMOps is a strong qualification.

Observability and Tracing Depth

Production experience with LLM observability tooling - Langfuse, LangSmith, Braintrust, or Arize Phoenix.

Comfortable instrumenting with OpenTelemetry, Prometheus, and Grafana.

Able to build and search trace pipelines, define failure taxonomies, and surface quality signals from production traffic.

CI/CD and Quality Gate Experience

Strong with GitHub Actions or GitLab CI.

Experience building automated quality gates: eval-gated pipelines, regression enforcement, or coverage gates that block degrading changes from shipping.

Cost Management and Attribution for Usage-Based Services

Experience owning cost attribution for cloud API spend or equivalent.

Comfortable with budget alerts, anomaly detection, and per-user or per-task cost breakdowns.

Reliability Engineering for Long-Running, Stateful Workloads

Experience with queues, retry patterns, idempotency, and failure recovery on asynchronous or multi-step workloads.

Comfortable defining SLOs and being accountable for them on production systems.

Multi-Provider API Management

Familiarity with LLM provider rate limits, version pinning, fallback chains, and quota management across OpenAI, Anthropic, Google, or equivalent.

Infrastructure as Code and Deployment Automation

Hands-on with Terraform or Pulumi and Docker.

AWS working knowledge (EC2, S3, IAM, EKS or ECS).

Strong with CI/CD for deploying services and configuration changes safely.

Nice to Have

• Experience with prompt A/B testing or staged rollout infrastructure
• Workflow orchestration (BullMQ, Temporal, Celery)
• Content moderation pipeline experience
• Data residency and compliance requirements for AI systems
• Kubernetes (EKS) in production
• AWS certifications

🚨 We’re Hiring: Sales & Marketing (Chillers) | 1–15 Years | Andheri, Mumbai 🚨

Looking for dynamic professionals with experience in chiller sales and marketing.

📍 Location: Andheri, Mumbai

💼 Experience: 1 to 15 years

📊 Industry: HVAC/Industrial Cooling/Engineering

👉 Must have relevant experience in chillers

👉 Strong communication & client-handling skills

Strong Full stack developer Profile

Mandatory (Experience 1) - Must Have Minimum 5+ YOE in Software Development,

Mandatory (Experience 2) - Must have 4+ YOE in backend using Python.

Mandatory (Experience 3) - Must have good experience in frontend using React JS with knowledge of HTML, CSS, and JavaScript.

Mandatory (Experience 4) - Must have Experience in any databases - MySQL / PostgreSQL / Postgres / Oracle / SQL Server / DB2 / SQL / MongoDB / Neo4J

Preferred

Preferred (Core Skill 1) - Expertise with any CI / CD tool e.g. (Jenkins, GitLab CI / CD, CircleCI, Google Clod Build, AWS CodePipeline, Azure CI / CD etc)

Preferred (Core Skill 2) - Mandatory Expertise with any one cloud platforms (Azure / AWS / Google Cloud)

Preferred (Company) - Product Company

Position: Business Development Executive

Company: Enpointe.io

Location: Andheri (Oshiwara), Mumbai

Employment Type: Full-time

About Enpointe.io:

Enpointe.io is a technology-driven company delivering innovative web solutions to enhance digital experiences. As we grow, we are seeking a proactive Inside Sales Executive to help generate leads, connect with potential clients, and support business growth through effective communication and documentation.

Role Overview:

The Business Development Executive will focus on generating and nurturing leads, setting up meetings for the co-founder, preparing proposals, and maintaining proper sales documentation. The role requires excellent communication skills, attention to detail, and a goal-oriented approach.

Key Responsibilities:

• Generate new business leads through research, calls, and online outreach.
• Connect with potential clients via phone, email, and professional networks.
• Schedule and coordinate meetings with the co-founder for qualified prospects.
• Prepare pre-meeting presentations and relevant briefing materials.
• Create professional proposals and share them with clients.
• Maintain accurate documentation of leads, follow-ups, and client interactions.
• Collaborate with internal teams to ensure client needs are met effectively.

Required Skills & Qualifications:

• 1+ year of experience in inside sales, lead generation, or business development (preferred).
• Excellent verbal and written communication skills.
• Ability to build rapport with clients and present ideas confidently.
• Proficiency in MS Office, Google Suite, and basic presentation tools (PowerPoint, Canva).
• Strong organizational and documentation skills.
• Self-motivated with the ability to work independently.

Preferred Qualifications:

• Experience in IT services, web development, or digital marketing sales.
• Familiarity with CRM tools like Zoho, HubSpot, or similar.

Skills Required:

- 4+ years of technical experience in a developer role

- Strong proficiency with Core Java

- Database experience preferably with DB2, Sybase, or Oracle

- Complete SDLC process and Agile Methodology (Scrum)

- Strong oral and written communication skills

- Excellent interpersonal skills and professional approach

- Bachelor’s degree in Computer Science, MIS, or other technology/engineering discipline

Skill Desired:

-Strong proficiency with Scala on Spark

- Previous experience in front office and back office reports

- Strong understanding Order Life Cycle management from Equities or Listed derivatives perspective

- Previous experience in Trade Surveillance or working with data from the order lifecycle

- Good to have knowledge on Hadoop Technologies

- High quality software architecture and design methodologies and patterns

- Work experience as level-3 support for applications

- Layered Architecture, Component based Architecture

- XML-based technologies

- Unix OS, Scripting, Python or Perl

- Experience in development on other application types (Web applications, batch, or streaming)

Decathlon is one of the world’s leading Sports goods retailers with the Motto of making sports accessible to over a Billion Indians!

To achieve this, we need a team of energetic, sporty team players we call,

SPORT LEADERS.

Sport Leader is an essential position to Decathlon that acts as a point of connection between Decathlon and its customers.

LOVE SPORT? CUSTOMER-FOCUSED? LOOKING FOR A RETAIL CAREER WITH A DIFFERENCE? IF YES, THIS COULD BE THE PERFECT ROLE FOR YOU!

As a Sports Advisor, your role is to ensure all customers leave our stores ‘satisfied or satisfied’. From a friendly and professional welcome through to a quick and easy payment process, your role is to always deliver a 5-star shopping experience. Decathlon heavily invests in the development of teammates so that those who want to build careers within the business are able to flourish within their roles. Whether you’re a student looking for a part-time role, or perhaps someone looking for a complete career change, Decathlon can cater to all.

OUR MISSION

To spread to wonders of sports to many

YOUR RESPONSIBILITIES

Customer Service: Through your own passion for sport, you’ll share your tips and experiences with users and through our hands-on product training, you will be able to give the best technical advice for the sports you are responsible for. Decathlon has shifted over the last year into an omnichannel business so it’s essential that our sports advisors are able to assist customers in all aspects of retail shopping, whether that’s in-store or online!

Merchandising: Whether full-time or part-time, every Omni Sports Leader is encouraged to take responsibility to autonomously manage stock levels and pricing and to provide a high level of merchandising so that each customer can easily find the right product for their sporting practice.

Team Player: You will be part of a shop floor team of like-minded Omni Sports Leaders, practicing sport and celebrating victories together, so it’s important that you are able to work well within a team environment as well as independently.

WHO YOU ARE?

Your passion drives you to create value for people, the planet, and commerce

I share the values of Decathlon on Vitality, Responsibility, Authenticity, Generosity Someone looking to combine a passion for sport with work.

A people person who is prepared to go the extra mile.

Someone looking for a retail career with a difference

Problem solver with good communication skills.

Able to play as part of the team during the busiest times (weekends and holidays)

Additional Information:

As a Sales Assistant, you will be required to work usual retail hours including evenings and weekends. The role will be shop-floor based with full Covid-19 safety regulations and precautions in place. The safety of our teammates and customers is our main priority during these times.

You will be autonomous in your work and will get to make the sport you love accessible to the many!

SPORT FOR ALL | ALL FOR SPORT.

Job Types: Full-time, Part-time, Regular / Permanent, Fresher

Part-time hours: 45 per week

Salary: ₹22,000.00 - ₹30,000.00 per month

Benefits:

• Health insurance
• Provident Fund

Schedule:

• Flexible shift
• Rotational shift
• Weekend availability

Supplemental pay types:

• Performance bonus
• Yearly bonus

1. Develop high performance mobile and web applications in Artificial Intelligence, Machine
Learning, Android, iOS and various frontend and backend technologies.

2. Create requirements, design documentation and test plans for above, adhering to
standard templates provided by the organization.

3. Write clean, maintainable, efficient code that confirms to software development
standards.

4. Well versed with multiple front end and backend technologies such as Angular, BootStrap,
Node, PHP, Spring, ReactJS, etc.

5. Understand full stack development process and is familiar with REST.

6. Can interact with client directly on requirement gathering, delivery planning and
implementation

Job Location: Thane