Data Centre Computer System Operators in India

Job description • You will perform the day-to-day data centre/computer operations (such as running the batch programs, printing of reports, systems and data backup, tapes/cartridges preparation and storage, etc). • You will be required to pro-actively monitor the data centre systems' uptime and performance (such as Server, Midrange and/or Mainframe systems, Networking equipment, Telecommunication connections, Email and Security Systems, Data Centre environment, etc) to prevent any down time or low performance. • You will diagnose and log down hardware problems into incident ticketing system, coordinate the problem resolution with the respective vendor or second level support personnel. • You will liaise with the vendors and other technical teams on any data centre related maintenance and installation activities. • You will also assist to provide helpdesk and basic IT troubleshooting support. • You will also assist in other IT related projects implementations. Job Requirements: • "A" Level Holders, ITE Graduates, Diploma and Degree Holders are welcome to apply. Those with at least 2 years of working experience will be considered for senior roles. • Experience in operating Windows Server, UNIX and/or AS/400 systems. • Good in work prioritization and able to maintain the service levels. • A detailed and systematic person, following the data centre operating procedures. • Willing to perform 12-hour Shift Work.

About the Team OpenAI, in close collaboration with our capital partners, is building the world's most advanced AI infrastructure ecosystem. The Scaling Analytics team serves as the data backbone for this effort, enabling leaders and operators to make informed decisions across infrastructure deployment, hardware operations, supply chain, capacity planning, and site execution. As OpenAI’s Industrial Compute expands across an increasing number of global data center campuses, the complexity of managing infrastructure capacity, hardware health, supply flows, and operational performance continues to grow. Scaling Analytics develops the data models, pipelines, metrics, and reporting systems that transform fragmented operational data into actionable insights, helping OpenAI operate infrastructure at unprecedented scale. About the Role We are seeking a Data Engineer to help build and scale the analytical foundations that power OpenAI's infrastructure organization. This individual will partner closely with Hardware Operations, Capacity Planning, Supply Chain, Infrastructure Delivery, Finance, and Engineering teams to create reliable data products that support critical operational and strategic decisions. Today, much of the team's expertise is concentrated within several highly specialized domains including hardware health, GPU attribution, and supply analytics. As Stargate grows and new sites come online, the demand for analytics support continues to expand across both existing and emerging problem spaces. This role will increase the team's ability to move quickly, reduce operational bottlenecks, and provide additional depth across critical infrastructure analytics functions. The ideal candidate combines strong data engineering fundamentals with an ability to navigate ambiguous operational environments, translating complex infrastructure problems into scalable data solutions that improve visibility, decision-making, and execution. Key Responsibilities Design, build, and maint

NVIDIA is seeking a Senior Staff SRE to build and operate reliable, scalable compute platforms that support global engineering workloads. This role spans Kubernetes, KubeVirt, bare-metal infrastructure, automation, observability, and AI-enabled operations. Join a team that solves complex infrastructure challenges, builds durable automation, and improves the reliability and operational experience of critical compute services. What you’ll be doing: Build, operate, and improve large-scale Kubernetes, KubeVirt, Linux, container, and bare-metal compute platforms, with a focus on performance, capacity, reliability, and operational scale. Lead bare-metal provisioning and lifecycle management in data centers, including PXE boot, DHCP, DNS, OS provisioning, hardware validation, and fleet automation. Develop automation, self-service capabilities, and observability solutions using APIs, Python or Go, Infrastructure as Code, configuration management, metrics, logs, traces, and service-health data. Define and operate SLOs, SLIs, error budgets, alerting, and incident-response practices; lead complex incident investigations, corrective actions, and blameless postmortems. Partner with infrastructure, security, hardware, data-center, and application teams to deliver global platform initiatives, and participate in an on-call rotation. What we need to see: BS in Computer Science, Engineering, a related technical field, or equivalent experience, plus 10&#43; years operating production infrastructure or platform services. Strong expertise in Kubernetes administration, KubeVirt, Docker, containerization, microservices, Linux systems, and resolving distributed-system challenges. <l

About the Team OpenAI’s Industrial Compute organization is responsible for building and scaling the infrastructure that powers our most advanced AI systems. Through a combination of strategic partnerships and self-built campuses, we are developing data center infrastructure at unprecedented scale and speed. The Data Center Delivery organization works across design, construction, commissioning, operations, vendors, and equipment suppliers to turn infrastructure plans into operational capacity. As projects progress from construction through commissioning and turnover, maintaining accurate equipment information, asset records, schedules, and documentation is critical to ensuring infrastructure is ready to operate and maintain. About the Role We are seeking a Maintenance Analyst to support the build, commissioning, and turnover of large-scale data center infrastructure. This role sits within the build organization and serves as a key connection point between equipment vendors, construction teams, commissioning teams, and the systems used to manage physical infrastructure. The Maintenance Specialist will ensure vendor equipment information is accurately captured, validated, and assigned to the appropriate equipment records, logs, and asset tags as infrastructure is installed and commissioned. In addition to equipment and maintenance data management, this person will provide real-time coordination and scheduling support as construction and commissioning activities progress. This role is well suited for someone who is highly organized, comfortable working with technical equipment information, and able to operate effectively in a fast-moving field environment. Key Responsibilities Own the collection, validation, and entry of vendor equipment information into equipment logs, asset registers, tagging systems, and infrastructure management tools. Maintain accurate equipment records, including manufacturer information, model and serial numbers, location, system association, war

About the Team OpenAI's Industrial Compute organization is building the world's most advanced AI infrastructure ecosystem. In partnership with leading cloud providers, hardware manufacturers, utilities, construction partners, and internal engineering organizations, we are delivering hyperscale AI campuses that power the next generation of frontier AI models. Infrastructure Delivery Operations sits at the center of this effort. The team ensures that large, highly complex infrastructure programs execute predictably across planning, design, construction, hardware deployment, commissioning, and operational handoff. We partner across Hardware Engineering, Network Engineering, Capacity Delivery, Hardware Operations, Security, Finance, Supply Chain, and our external infrastructure partners to keep programs aligned, risks visible, and execution moving at Industrial Compute speed. About the Role We are seeking a Technical Program Manager, Infrastructure Delivery Operations to drive execution across large-scale AI infrastructure deployments. This role is responsible for orchestrating cross-functional delivery programs spanning multiple organizations, ensuring dependencies remain synchronized from early planning through production readiness. You will develop operational mechanisms that allow Industrial Compute to scale infrastructure delivery across multiple campuses simultaneously. Rather than owning any individual engineering discipline, you will own program health—bringing together engineering, construction, operations, supply chain, and partner organizations into a single coordinated execution model. Success in this role requires exceptional program management, executive communication, systems thinking, and operational rigor. You should be comfortable operating amid ambiguity while bringing structure to highly technical, multi-year infrastructure programs. Candidates should have experience leading complex infrastructure, cloud, data center, semiconductor, networking, manuf

DR ASHWANI KUMAR VIJ : have been retained to select a one : Pre-Sales cum Solution Manager For a Professionally Managed and Fast Growing Telecom and IT Solutions Provider and System Integration Company which is Offering Technology / IT Infrastructure, Services and Consulting Solutions. ( Having Annual Business Turnover of around Rs 350 Crores ). Our Client is looking for high performing Solution designing professional with proven successful experience in IT / Networking, Security/Surveillance/Telecom industry and Handling Enterprise, Banking, Government and Defense Clients. Job Description : -Understand the requirement of the customer. Solution designing, and proposal writing while responding to RFP and RFI and conducting POC's. -OEM Coordination, Technical Qualification preparation, Solution Design and Optimization. Preparation of Tender summary, Risk analysis, Technical Bid, Commercial bid. -Maintain relationship with OEMs, Vendors, Distributors. -To analyze competition prior to submitting comprehensive. comparing and evaluating various proposals on sound grounds to select the best one. -Solution Designing, Solution optimization, Bid Preparation, and Customer presentation. -Expertise in CCTV/Surveillance, Server, Storage, LAN, WAN, Network and Data Center Technical Solution preparation. -Coordinate with Bid/Proposal stitching team and obtain the bid documents from OEM partners. -Work ranging from Designing, Implementation and Commissioning to Delivery and Go-Live, Management and monitoring of complete work on these sites ranging from civil, electrical, networking and team management. -Good problem solving, analytical and logical thinking skills. Qualifications Desired : Degree or Diploma in Computer Science/IT. Experience Desired : 8-10 Years. Age Preferred : Below 35 Years Email Complete / Structured CV, with Scanned copy of Visiting Card, Salary Drawn / Expected details at : DR ASHWANI KUMAR VIJ - President : Sales Recruitment

Graphcore Senior Principal AI SoC Validation (Bring-up lead) Graphcore is a globally recognised leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialised processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. We are opening a new AI Engineering Campus in Bengaluru which will play a central role in Graphcore's work building the future of AI computing. We are developing the next generation of AI compute, a large-scale system-on-chip (SoC) designed to power future high-performance AI systems. As the SoC Validation Lead, you will be responsible for enabling pre-production software to run reliably on new silicon quickly and efficiently, before showing that the silicon meets the highest standards of quality, reliability and functionality, ready for production deployment. You will lead a team delivering post-silicon validation across the full AI SoC, working across silicon, firmware, and platform levels. The role requires a deep technical understanding, strong hands-on debug experience, and the ability to collaborate effectively with hardware, software, and systems engineering teams. Key responsibilities Define and lead post-silicon validation strategy Develop and refine the overall post-silicon validation approach for our AI SoCs, ensuring reliable and timely delivery of validated silicon, architectural correctness, feature robustness, and at-scale system reliability. Drive cross-domain debug and issue resolution Lead investigation and resolution of complex issues spanning silicon, firmware, operating systems, and platform interactions. Ensure that fixes are effective and sustainable. Promote collaboration and shared understanding Work closely with

NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. Today, we are tapping into the unlimited potential of AI to define the next era of computing. As an NVIDIAN, you will address challenges spanning architecture, silicon, firmware, software, and production — and excellent judgment matters as much as technical depth! Every major NVIDIA silicon product family—from the chips powering AI and datacentre systems to gaming, professional, embedded, and automotive platforms—passes through our productization work on its way to production. NVIDIA’s Silicon Co-Design Productization team works from pre-silicon strategy and feature development through bring-up, characterization, correlation, and optimization. Our charter spans power & performance modelling, bring up & tuning of low-power features, power & thermal controllers , and system-level optimization that ultimately shape how NVIDIA products are configured, binned, specified, and shipped. What you'll be doing Drive silicon power productization from pre-silicon planning through bring-up and production, including test strategy, feature readiness, characterization, and optimization. Partner with architecture and design teams to identify improvements, validate features, and help translate them into production-ready solutions. Correlate measured silicon behaviour with pre-silicon expectations, investigate gaps, and drive complex issues to root cause. Build power and performance models and characterization methodologies that decide silicon binning, product specifications, productization decisions, and customer guidance. Use AI/ML and data-driven methods to analyse characterization & telemetry data, identify anomalies & trends , and accelerate issue debug across silicon, board, power delivery, firmware,

Senior Consultant-We are seeking a seasoned ITES Solution Architect to lead the design and execution of enterprise-grade IT infrastructure projects. -"Key Responsibilities: Infrastructure Architecture & Design • Design and implement end-to-end IT infrastructure solutions including compute, storage, network, and security. • Architect high-availability systems with failover clustering, load balancing, and redundancy. • Define and implement disaster recovery strategies with clear RTO/RPO objectives. Data Center & DR Strategy • Design and manage primary and secondary data center environments. • Plan and execute DR site configurations, ensuring seamless failover and recovery. • Implement real-time or scheduled data synchronization between DC and DR using replication technologies (e.g., SAN replication, DFS-R, Veeam, Zerto). Backup & Recovery Planning • Develop and maintain enterprise backup strategies using tools like Commvault, Veeam, or NetBackup. • Ensure secure, encrypted backups with retentio

Site Lead - Future Projects will oversee Data Centre projects from start to finish, ensure pre-construction site preparedness, coordinating cross-functional teams, ensuring regulatory compliance, managing schedules and budgets, and maintaining quality standards. Responsibilities include identifying risks, updating stakeholders, and providing leadership and mentorship to project teams. Source: Adani Group | Job ID: 51586

Lead Projects - Mechanical manages all mechanical aspects of data centre projects, including planning, procurement, and technical guidance. This role ensures project alignment with goals, compliance with standards, and continuous improvement while mentoring junior team members. Source: Adani Group | Job ID: 48436

Associate Lead - CX ELV will coordinate and oversee the testing and commissioning activities for data centre projects. This role involves executing testing scripts/checklists, closely working with the team of engineers i.e. both internal & external stakehholders and CxA , and ensuring compliance with industry standards and project requirements. Source: Adani Group | Job ID: 49284

Lead - CX will own, coordinate and oversee the testing and commissioning activities for data centre projects. This role involves preparing & implementing testing plans, closely working with the team of engineers i.e. both internal & external stakehholders, CxA & fellow T&C people, and ensuring compliance with industry standards and project requirements. Source: Adani Group | Job ID: 58635

Shift Manager Operations will lead and manage the operations team, overseeing the daily activities of the data centre. This role involves developing operational policies, ensuring compliance with standards, and supporting technology implementation, while also managing the operational budget and providing leadership during critical incidents. Source: Adani Group | Job ID: 54102

Shift Manager Operations will lead and manage the operations team, overseeing the daily activities of the data centre. This role involves developing operational policies, ensuring compliance with standards, and supporting technology implementation, while also managing the operational budget and providing leadership during critical incidents. Source: Adani Group | Job ID: 54099