Staff Systems Engineer – Cloud Infrastructure
Cadence Design Systems · Noida, India
About this role
Cadence Design Systems is hiring a staff-level Infrastructure Engineer in the software engineering function based in Noida, India. The posting calls out experience with AWS, GCP, Azure, Kubernetes. Listed education preference: a bachelor's degree or equivalent.
- Role
- Infrastructure Engineer
- Function
- software engineering
- Level
- staff
- Track
- Tech leadership
- Employment
- Full-time
- Location
- Noida, India
- Education
- Bachelor's degree
- Posted
- Jul 13, 2026
Job description
from Cadence Design Systems careersAt Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.
Staff Systems Engineer – Cloud Infrastructure (OpenStack & OpenShift)
Position: Staff Systems Engineer – Cloud Infrastructure
Grade: IT4
Location: Noida / Bangalore
Employment Type: Full-Time
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, OpenShift, and cloud IaaS/container technologies. This role serves 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. Experience with container platforms (OpenShift/Kubernetes) and the emerging Red Hat OpenStack Services on OpenShift (RHOSO) model is a strong advantage.
Key Responsibilities:
Cloud Platform Architecture & Strategy
Define and implement reference architectures for private cloud (OpenStack), container platforms (OpenShift), 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, container, 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.
Container Platform & OpenShift Engineering:
Design, deploy, and operate OpenShift/Kubernetes clusters supporting containerized and cloud-native workloads.
Manage cluster lifecycle including provisioning, scaling, upgrades, and patching.
Implement best practices for container networking, storage integration, RBAC, and workload isolation.
Integrate OpenShift platforms with underlying OpenStack and bare-metal infrastructure.
Contribute to adoption and operations of RHOSO (Red Hat OpenStack Services on OpenShift), where the OpenStack control plane runs on OpenShift.
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, and 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, storage, and container layers.
Optimize cloud and container 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 and infrastructure teams.
Mentor senior engineers and 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.
Hands-on experience deploying and operating OpenShift / Kubernetes clusters in production.
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.)
OpenShift/Kubernetes container orchestration and cluster operations
Linux systems and virtualization (KVM)
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
Hands-on experience with RHOSO (Red Hat OpenStack Services on OpenShift) or the OpenStack-on-OpenShift control plane model.
Red Hat certifications (RHCE, Red Hat Certified OpenStack Administrator, or Red Hat Certified OpenShift Administrator).
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.