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.

Experience Required Qualifications

• 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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