Jobs at Neysa

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.

Provides L3 network and firewall service operations across data centers and office locations. Responsibilities include configuring and troubleshooting switches, routers, firewalls, BGP EVPN VXLAN fabrics, VPNs, and network security controls; resolving incidents within SLA; supporting L1/L2 teams; handling escalations and critical projects; maintaining uptime; performing root-cause analysis; and producing operational documentation. The role operates onsite in rotational 24×7 shifts.

Own advanced Linux system administration, storage management, infrastructure troubleshooting, and reliability in a 24/7 data center environment. Resolve critical incidents, support escalations, maintain high availability, automate infrastructure operations, and improve processes. Administer Linux, storage, backup, networking, containers, Kubernetes, and related platforms while documenting procedures, incidents, handovers, and service improvements. Mentor L1 and L2 teams and collaborate cross-functionally to meet SLAs.

Owns advanced Linux systems and storage administration in a 24×7 data center environment. Responsibilities include resolving critical incidents, maintaining availability and performance, troubleshooting infrastructure, supporting L1 teams, managing storage and backups, automating operations, documenting procedures, and coordinating cross-functional improvements. The role also involves escalation management, SLA adherence, monitoring, containerization, virtualization, and infrastructure optimization for AI-driven platforms.

Own advanced Linux systems and storage administration in a 24×7 environment. Resolve critical incidents, escalations, and infrastructure problems while maintaining system availability, performance, security, and SLA compliance. Support enterprise and data center environments involving storage, backup, networking, containers, Kubernetes, and automation. Mentor L1 and L2 teams, create operational documentation, improve processes, and drive infrastructure automation and reliability initiatives.

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.

Provide L3 network and firewall operations support in a 24×7 onsite environment. Configure and troubleshoot switches, routers, firewalls, BGP, EVPN/VXLAN, VPNs, load balancers, and proxy technologies. Resolve incidents, requests, changes, and critical escalations within SLA, conduct root-cause analysis, maintain infrastructure uptime, support L1/L2 teams and clients, and produce operational documentation. Monitor security events and collaborate with SOC and other technical teams on incident response.

Own end-to-end enterprise sales cycles for AI, GenAI, cloud infrastructure, and platform solutions. Engage CXOs and technical leaders, identify AI adoption opportunities, position Neysa’s offerings, translate technical capabilities into business value, negotiate commercial agreements, and close complex deals. Build qualified pipelines, develop account growth strategies, collaborate with presales, product, and engineering teams, and serve as a trusted advisor to enterprise customers.

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 performance, support L1 teams, execute changes within SLA, and improve operations through automation, documentation, monitoring, and infrastructure optimization. The role also involves containerization, orchestration, virtualization, networking, and cross-functional incident resolution.

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.

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.

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.