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.