Top Tech Jobs & Startup Jobs in Mumbai

Designs and presents AI, GenAI, cloud, and infrastructure solutions for enterprise customers. Leads technical discovery sessions, workshops, demonstrations, architecture discussions, and proof-of-concept engagements. Advises on LLM applications, RAG workflows, MLOps, GPU workloads, Kubernetes, networking, and hybrid cloud architectures. Collaborates with sales, engineering, and product teams on proposals, RFPs, customer requirements, and roadmap feedback while acting as a trusted technical advisor.

Monitor, triage, correlate, and investigate security alerts and logs across networks, firewalls, IPS, WAF, endpoints, Microsoft 365, cloud, and databases. Analyze phishing, malware, command-and-control, and firewall incidents; document findings, perform root cause analysis, meet SLAs, and produce SIEM reports. Support detection-rule development and basic threat hunting while working rotational 24/7 shifts.

Provides L3 network and firewall operations support for data center and office infrastructure. Responsibilities include advanced configuration and troubleshooting of switches, routers, firewalls, BGP EVPN VXLAN fabrics, VPNs, and related technologies. The role handles 24/7 incident response, escalations, root-cause analysis, uptime, change management, documentation, SLA compliance, and support for L1/L2 teams and clients. Preferred capabilities include SOC processes, SIEM monitoring, threat intelligence, vulnerability management, cloud networking, and security compliance.

Own the Velocis AI cloud product ecosystem, including strategy, roadmap, prioritization, specifications, platform launches, and product economics. Lead a team of product managers, partner with engineering and go-to-market teams, support enterprise GPU offtake opportunities, and translate customer requirements into scalable platform capabilities. Drive GPU utilization, margins, tenant density, onboarding, reliability, adoption, and enterprise expansion.

Designs, deploys, operates, and optimizes NVIDIA and AMD GPU clusters for LLM training, inference, and HPC workloads. Responsibilities include Linux administration, kernel and driver tuning, Kubernetes orchestration, CUDA and GPU networking configuration, Slurm and MPI operations, infrastructure automation, monitoring, incident analysis, and customer support. The role owns deployments from architecture through production acceptance and requires strong cross-layer debugging, documentation, and collaboration skills.

Manage and troubleshoot Linux systems, storage, backup, hardware, applications, and infrastructure in a 24×7 data center environment. Resolve critical incidents and escalations, maintain availability and SLA compliance, support L1 teams, document procedures, and drive automation and service improvements. The role requires expertise in Linux, networking, storage, scripting, containers, orchestration, backup technologies, and infrastructure management.

Design, deploy, automate, and operate highly available cloud infrastructure across private and public environments. Responsibilities include managing virtualization, storage, networking, Kubernetes, scaling, infrastructure automation, failure testing, security, cost optimization, and production troubleshooting across complex multi-cloud platforms.

Manage GPU cloud product catalogues, pricing models, SKU documentation, competitor research, vendor evaluations, product collateral, and launch support. Collaborate with engineering, finance, sales, marketing, operations, and technology partners to maintain accurate commercial information, identify portfolio opportunities, coordinate product launches, and monitor post-launch adoption and market feedback.

Senior Linux and storage engineer responsible for advanced system administration, infrastructure troubleshooting, critical incident resolution, high availability, automation, and operational improvements in a 24x7 environment. The role manages Linux, storage, backup, hardware, applications, containers, and Kubernetes; supports escalations and clients; mentors L1/L2 teams; documents procedures; and collaborates cross-functionally to maintain reliable enterprise and data center infrastructure.

Leads Neysa’s presales organization and technical sales strategy, overseeing solution architecture, enterprise discovery, demonstrations, workshops, proposals, PoCs, and executive presentations. Partners with Sales, Product, Engineering, and Delivery teams to design AI, cloud, GPU infrastructure, and enterprise platform solutions. Builds and mentors the presales team, establishes operating standards and metrics, enables sales teams, influences product direction, and supports complex enterprise deal closures.