Top Tech Jobs & Startup Jobs

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.

Drive revenue growth among India-based AI-native startups, unicorns, soonicorns, and early-stage disruptors. Responsibilities include prospecting, qualifying leads, managing end-to-end sales processes, developing GTM strategies, nurturing founder and executive relationships, positioning AI cloud solutions, monitoring market opportunities, and optimizing sales funnels using CRM tools and analytics.

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.

Own end-to-end enterprise sales cycles for AI, Generative AI, cloud infrastructure, and platform solutions. Engage CXOs and technical decision-makers, identify AI adoption opportunities, position Neysa against hyperscalers, articulate business value and ROI, coordinate with presales and engineering teams, negotiate high-value contracts, and develop long-term account strategies. Maintain qualified pipelines, monitor competitive trends, and serve as a trusted advisor for enterprise AI adoption.

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.

Perform L3 monitoring, configuration, maintenance, optimization, and troubleshooting of network switches, routers, firewalls, VPNs, and data center infrastructure. Resolve incidents, changes, problems, and critical escalations within SLA; provide support to L1/L2 teams and clients; conduct root-cause analysis; maintain uptime, documentation, handovers, and ticket records. The role operates onsite in Bangalore on a rotational 24/7 schedule and requires expertise in BGP EVPN VXLAN, firewall technologies, routing, switching, monitoring, and network security.

Develop responsive user interfaces and scalable backend services for web applications. Translate UI/UX designs into high-quality applications, build APIs, collaborate with product and design teams, participate in code reviews, troubleshoot issues, and improve development processes. The role emphasizes front-end development while contributing across the full stack, including testing, version control, cloud and virtualization technologies, containerization, and DevOps practices.

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.

Monitor AI platforms and infrastructure, respond to incidents, troubleshoot Linux, application, and network issues, and escalate problems according to ITIL and SLA processes. Maintain proactive monitoring using Nagios, Prometheus, or Grafana; document incidents and resolutions; support patching and system maintenance; participate in root cause analysis; and collaborate with administrators, engineers, and developers to improve service reliability.