Senior Computing Infrastructure Engineer

About the role

Applied Materials' Computing Delivery Engineering team owns an end-to-end computing platform for semiconductor manufacturing, with each environment backed by a small data center of 3 to 30 hosts. The systems (compute hosts, VMs, containers, network, storage and firewalls) run fully air-gapped at the customer fab, with no internet, no cloud and zero tolerance for downtime. This role takes direct technical ownership of the platform: design it, build it as code, qualify it, harden it and act as the highest technical escalation (Tier 4). It works side by side with software architects to turn product visions into reproducible, production-grade systems.

Key responsibilities

• Design and develop end-to-end computing platforms for new inspection products, turning software architects' requirements into designs covering compute, storage, network, firewall, OS, virtualization and containers.
• Build and own the infrastructure-as-code stack (Ansible, Bash, Python) that provisions Linux platforms from bare metal to fully operational state, and optimize performance for data-intensive inspection workloads.
• Produce high-level designs and operational documentation so the manufacturing organization can reproduce the system identically on every machine.
• Design and run full test plans across host, hypervisor, storage, network, firewall, container/K8s layers, define readiness criteria and validation gates, and automate configuration checks across fleets of hosts.
• Act as Tier-4 escalation for production inspection systems in air-gapped environments, drive root-cause analysis across the full stack and continuously harden the platform for security and reliability.
• Maintain and evolve the PDC R&D labs that mirror production.

Required profile

• Over 10 years of hands-on on-premise infrastructure engineering with production-grade expertise.
• B.Sc. in Computer Science, Computer Engineering, Information Systems or equivalent.
• Fluent written and spoken English for daily collaboration with the Bangalore team.
• Preferred: experience with air-gapped or offline systems, semiconductor equipment or industrial automation, CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions, Azure DevOps), observability stacks (Grafana, Prometheus, ELK, iperf), and AI agents in daily work.

Required skills

• Linux administration (Ubuntu/RHEL), package management, systemd, NFS, SELinux/AppArmor, nftables, firewall rules.
• VMware, Hyper-V or Proxmox; SAN/NAS (iSCSI, NFS), RAID.
• Docker/Podman and self-managed Kubernetes (Deployments, Services, ConfigMaps).
• Strong Ansible, Bash and/or Python, disciplined IaC mindset.
• Wireshark, VLANs, trunking and link aggregation.