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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