Staff Systems Engineer – Cloud Infrastructure

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.

Position: Staff Systems Engineer – Cloud Infrastructure

Grade: IT4

Location: Noida/Bangalore

Job Summary

We are seeking a Staff Systems Engineer – Cloud Infrastructure to design, implement, and manage large-scale public, private, and hybrid cloud platforms, with deep expertise in OpenStack and cloud IaaS technologies. This role will serve as a technical authority and architect for cloud infrastructure platforms that power mission-critical workloads across EDA, Systems design, AI/ML, and high-performance computing environments.

The ideal candidate brings hands-on engineering depth, strong systems thinking, and a proven track record of leading complex cloud platform initiatives—from architecture through production operations—while mentoring senior engineers and influencing platform strategy across the organization.

Key Responsibilities

Cloud Platform Architecture & Strategy

• Define and implement reference architectures for private cloud (OpenStack) and hybrid/multi-cloud environments.

• Contribute towards architectural decisions for compute, storage, networking, and control plane services at scale.

• Ensure platform consistency, scalability, resiliency, and operational excellence across regions and data centers.

• Evaluate and guide adoption of emerging cloud and IaaS technologies aligned with business and platform strategy.

Private Cloud & OpenStack Leadership

• Serve as a technical expert for OpenStack (Nova, Neutron, Cinder, Keystone, Glance, Heat, Octavia, etc.).

• Monitor, maintain, and optimize OpenStack deployments for performance, availability, upgradeability, and lifecycle management.

• Lead complex upgrades, migrations, and capacity expansions with minimal customer impact.

• Define best practices for multi-tenant isolation, quota management, and SLA-driven design.

Public Cloud & Hybrid Cloud Integration

• Design and integrate workloads across AWS, Azure, and/or GCP alongside private cloud platforms.

• Establish patterns for hybrid networking, identity federation, workload portability.

• Provide technical guidance on cloud-native and IaaS-based workload placement decisions.

Infrastructure Engineering & Automation

• Develop infrastructure-as-code and automation using tools such as Terraform, Ansible, Helm, and CI/CD pipelines.

• Promote platform standardization, self-service provisioning, and repeatable operational workflows.

• Perform SRE and operations activities to improve observability, reliability, and incident response.

Performance, Scale & Reliability

• Perform root cause analysis for complex platform issues across compute, network, and storage layers.

• Optimize cloud platforms for high-performance workloads, including AI/ML, batch, and HPC-style systems.

• Monitor and improve key reliability, performance, and capacity metrics.

Technical Leadership & Collaboration

• Act as a senior technical authority across cloud, infrastructure teams.

• Mentor senior engineers; raise the technical bar across the organization.

• Influence roadmap priorities through deep technical insight and clear communication with engineering and technical leaders.

• Partner closely with security, networking, hardware, and application teams to deliver integrated solutions.

Required Qualifications

Experience

• 8+ years of experience in cloud infrastructure, distributed systems, or large-scale platform engineering.

• Deep, hands-on experience with OpenStack in production environments.

• Proven experience designing and operating large-scale private and hybrid cloud platforms.

• Demonstrated leadership on complex, cross-team infrastructure initiatives.

Technical Expertise

• Strong knowledge of:

  • OpenStack services (Nova, Neutron, Cinder, Keystone, etc.)

  • Linux systems, virtualization (KVM), and container platforms (Kubernetes)

  • Software-defined networking (SDN), L2/L3 networking, load balancing

  • Distributed storage systems (Ceph, object/block storage)

• Experience with:

  • Public cloud IaaS (AWS, Azure, GCP)

  • Infrastructure automation and IaC

  • CI/CD pipelines supporting platform engineering

Preferred Qualifications

• Experience supporting HPC/EDA workloads on cloud platforms.

• Exposure to bare-metal provisioning, hardware lifecycle management, and data center operations.

• Familiarity with SRE practices, reliability engineering, and large-scale observability platforms.

• Strong written and verbal communication skills, with the ability to influence at senior and executive levels.

Educational Qualification:

BE/BTech/ME/MTech in CS/Electronics or equivalent

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