Staff Systems Engineer – Cloud Infrastructure

Job description

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 We’re doing work that matters. Help us solve what others can’t.