Staff Systems Engineer – Cloud Infrastructure

Cadence Design SystemsOn-siteFull-timeStaff, 8–12 yearsListed 2 months ago

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About this role

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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