Jobs at Neysa

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.

Develop and deploy threat detection rules tailored to Neysa’s environment. Analyze device, application, and server logs; conduct threat hunting; integrate threat intelligence; identify threat vectors; and convert findings into permanent detection logic across SIEM, EDR, and threat intelligence platforms. The role requires knowledge of MITRE ATT&CK, the Cyber Kill Chain, and attack surface management.

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.

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.

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.

Own the full enterprise sales cycle for AI, GenAI, cloud infrastructure, and AI acceleration solutions. Engage CXOs and technical leaders, identify opportunities, position solutions against hyperscalers, articulate ROI, lead negotiations, close complex deals, and develop long-term account strategies. Collaborate with presales, product, engineering, and leadership teams while managing pipeline, market insights, and strategic customer relationships.

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.

Own end-to-end Government and PSU sales for AI, generative AI, cloud, and infrastructure solutions. Identify opportunities through tenders, RFPs, RFIs, GeM, and direct engagement; manage bid strategy, pricing, compliance, and deal closure. Build relationships with government stakeholders, PSUs, system integrators, and channel partners while navigating procurement and regulatory requirements. Drive large, multi-year deals and position AI cloud solutions around sovereignty, security, and national digital transformation initiatives.

Manages end-to-end IT and non-IT procurement, including sourcing, RFQs/RFPs, vendor evaluation, negotiations, purchase orders, contracts, compliance, and delivery tracking. Oversees technology, data center, software, facilities, marketing, and professional services categories. Maintains vendor governance, spend analysis, savings trackers, dashboards, MIS reporting, and audit documentation while partnering with finance, legal, business stakeholders, and leadership to improve procurement processes.

Administer 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 performance, support L1 teams, meet SLAs, document procedures, and drive automation and service improvements using scripting, Ansible, Terraform, containers, and monitoring tools.

Lead advanced Linux systems and storage administration in a 24x7 enterprise environment. Resolve critical incidents, escalations, and infrastructure issues while maintaining high availability, performance, security, and SLA adherence. Administer Linux, storage, backup, hardware, applications, containers, and orchestration platforms. Drive automation, documentation, service improvements, and operational excellence, while mentoring L1 and L2 teams and collaborating with cross-functional stakeholders.

Drive outbound sales, lead generation, prospect qualification, appointment setting, and early-stage enterprise customer engagement for AI and GPU cloud offerings. Manage CRM data, pipeline reporting, outreach campaigns, and conversion metrics. Collaborate with enterprise sales, marketing, solution architecture, product, technical teams, channel partners, and resellers to create qualified opportunities and support revenue growth.

Designs, deploys, and operates large-scale Ethernet and InfiniBand network fabrics supporting AI and HPC GPU clusters. Responsibilities include EVPN-VXLAN, BGP, OSPF, RDMA, lossless networking, network automation with Python and Ansible, infrastructure testing, production troubleshooting, monitoring, vendor coordination, and technical documentation. The role also validates topologies in simulation environments and supports hybrid cloud, container networking, and infrastructure-as-code practices.

Legal Counsel supporting commercial and technology contracts, vendor agreements, data privacy, regulatory compliance, corporate governance, fundraising, investor documentation, and due diligence. The role provides practical legal advice to sales, product, operations, and leadership teams while building scalable contracting processes, policies, templates, and playbooks in a fast-paced technology startup.