Computing infrastructure developer
About the Role Applied Material’s Computing Delivery Engineering team owns an end-to-end computing platform for semiconductor manufacturing. Each environment is accompanied by a dedicated mini data center ranging from 3 to 30 hosts, that must be provisioned and configured from bare metal to fully operational state. These systems, which include compute hosts, VMs, containers, network elements, storage, and firewalls, that run fully air-gapped at the customer fab, with no internet, no cloud, and zero tolerance for downtime. We are looking for a Senior Computing Infrastructure Engineer to take direct technical ownership of this platform end-to-end: design it, build it as code, qualify it, harden it, and stand behind it as the highest technical escalation (Tier 4). This is not classic IT and it is not a cloud role, every percent of performance and every minute of uptime translates into real money for our customers’ fabs. You will work shoulder-to-shoulder with software architects to turn next-generation product visions into reproducible, production-grade computing systems. Key Responsibilities * ## Design & Development of Computing Platforms (60%) * Design and develop end-to-end computing platforms for new inspection products, translate software architects’ requirements into concrete designs covering compute, storage, network, firewall, OS, virtualization, and containers. * Build and own the infrastructure-as-Code stack (Ansible, Bash, Python) that provisions and configures Linux platforms, from bare metal to fully operational state, repeatably and idempotently. * Drive performance optimization across compute, I/O, storage, and network for data-intensive inspection workloads where every percent matters. * Produce detailed High-Level Designs and operational documentation that allow the manufacturing organization to reproduce the system identically across every machine that leaves the factory. * ## Test & Validation (20%) * Design and execute full test plans that cover every layer of the stack. Host, hypervisor, storage, network, firewall, container/K8s, and every scenario the system may face in the field. * Define readiness criteria and validation gates before a platform is released to manufacturing or deployed to a customer fab. * Build automation that proves configurations are correctly and consistently applied across fleets of hosts. * ## Tier-4 Operations & Hardening (20%) * Act as Tier-4 the highest technical escalation for production inspection systems running at customer fabs in fully air-gapped environments. We follow a strict “you build it, you run it” DevOps culture: the same engineers who design the system stand behind it. * Drive root-cause analysis across the full stack (network ↔ firewall ↔ hypervisor ↔ storage ↔ OS ↔ application) and feed lessons back into design and automation. * Continuously harden the platform for security, reliability, and supportability under air-gapped constraints (no cloud, on-site-only support). * Maintain and evolve the PDC R&D labs that mirror production for development and qualification. Required Skills & Knowledge Over 5 years of hands-on experience in on-premise infrastructure engineering, with proven production-grade expertise across the following domains: * Production administration of Linux servers (Ubuntu / RHEL family). * Package management, systemd services, user/permission management, NFS shares. * Filesystem hierarchy, networking stack, and security model (sudo, SELinux/AppArmor, firewalls/nftables). * Hands-on with VMware, Hyper-V, or Proxmox: VM lifecycle, networking, and resource allocation. * SAN / NAS hands-on (iSCSI, NFS), distributed storage, RAID or equivalent volume management. * Configuration of managed switches: VLANs, trunking / link aggregation. * L2/L3 troubleshooting: comfort using Wireshark to analyze real traffic. * Writing and managing firewall rules: hands-on with appliance-based firewalls. * Building and managing container images (Docker / Podman): deploying containerized applications in production. * Operating Kubernetes clusters (self-managed or managed): writing and applying Deployments, Services, ConfigMaps. * Strong Ansible plus Bash and/or Python — used as primary tools, not occasional scripts. * Disciplined Infrastructure-as-Code mindset: version-controlled, reviewable, idempotent. * B.Sc. in Computer Science, Computer Engineering, Information Systems, or equivalent technical discipline. * Fluent English written and verbal for daily collaboration with the Bangalore team. # Preferred Qualifications * Experience designing or operating systems in air-gapped or fully offline environments. * Background in semiconductor equipment, industrial automation, embedded, or other hardware-coupled software environments. * Exposure to CI/CD pipelines for on-premise systems (Jenkins, GitLab CI, GitHub Actions, Azure DevOps). * Familiarity with on-premise observability stacks — Grafana, Prometheus, ELK, iperf. * Comfort using AI agents as part of the
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