Tech Lead - Computing Infra. Development

As a Software Engineer at Applied Materials, you'll dive deep into ground-breaking technologies like machine learning and AI to craft novel software solutions that solve our customers high-value problems. Our Software Engineers are responsible for designing, prototyping, developing, and debugging software solutions for semiconductor equipment components and devices to ensure quality and functionality. You'll develop software documentation and test procedures, troubleshoot software problems, and communicate with internal customers to understand project requirements. As part of our team, you'll contribute your expertise in intricate systems, deciphering code, and anticipating software behaviors to ensure Applied remains the leader in the semiconductor and display sectors.

Join PDC Computing RD, where we build next-generation compute platforms that power critical engineering solutions at scale.

You'll work hands-on with cutting-edge compute solutions across Linux environments, solving real, high-impact problems.

Collaboration is at the core of PDC; be part of a high-energy team focused on innovation, automation, and engineering excellence.

This role offers a strong growth path into hybrid infrastructure, cloud, and containerized technologies.

If you're excited to build, automate, and scale platforms that matter, PDC Computing RD is the place to grow your career.

Your Opportunity

We are looking for a Computing Full Stack Engineer with strong computing system skills in Linux environments and a solid understanding of infrastructure fabric. This role focuses on building automation, performance optimization, and integration solutions using scripting and configuration management tools. The ideal candidate will bridge development and infrastructure knowledge to deliver robust infra as code, solutions.

Roles and Responsibility

• Design and develop automation scripts to config and deploy Linux platforms, storage, network, FW, Hypervisor and virtualization, containers and K8s platforms.
• Performance optimization for compute workloads.
• Design and develop automation scripts and tools using Ansible, python, Bash.

Mandatory skills knowledge:

• Linux: Package management, Systemd services, User/permission management, NFS shares Management
• Hypervisor: Configuring VM Networks, Configuring Resource Provisioning,
• Storage: SAN/NAS (iSCSI, NFS), Distributed Storage, Configuring RAID or Similar.
• Network: VLANs, Trunking, or link aggregation, Wireshark troubleshot.
• FW: Configured rules, Worked with appliance-based.
• Containers: Docker/Podman, Deployed containerized applications in production
• Kubernetes: Self-managed or managed, Written and applied Kubernetes manifests, Deployments, Services, ConfigMaps

Good to have Skills:

• Ansible, Bash or Python scripting.
• Exposure to CI/CD concepts (awareness only).

Qualifications Years of Work Experience -

• BE/B Tech/M Tech or relevant qualifications
• Total 6-12 years of relevant work experience

Work Location : IPTL, Whitefield (5 days / Onsite)

Additional Information

Time Type: Full time

Employee Type: Assignee / Regular

Travel: Yes, 10% of the Time

Relocation Eligible: Yes