Senior DevOps Engineer
About The Position
Astera Labs (NASDAQ: ALAB) provides rack-scale AI infrastructure through purpose-built connectivity solutions. By collaborating with hyperscalers and ecosystem partners, Astera Labs enables organizations to unlock the full potential of modern AI. Astera Labs’ Intelligent Connectivity Platform integrates CXL®, Ethernet, NVLink, PCIe®, and UALink™ semiconductor-based technologies with the company’s COSMOS software suite to unify diverse components into cohesive, flexible systems that deliver end-to-end scale-up, and scale-out connectivity. The company’s custom connectivity solutions business complements its standards-based portfolio, enabling customers to deploy tailored architectures to meet their unique infrastructure requirements. Discover more at www.asteralabs.com. We are seeking a skilled Senior DevOps Engineer to join our Silicon Engineering Infrastructure team. In this role, you will be instrumental in building, maintaining, and optimizing cloud-based infrastructure that supports our semiconductor design and verification workflows. You will work closely with silicon engineering teams to ensure reliable, scalable, and efficient compute environments.
Requirements
- 3+ years of hands-on DevOps/Infrastructure engineering experience
- Strong problem-solving skills with the ability to debug complex system issues
- Solid operational knowledge of AWS Cloud services, including:
- EC2 (instance management, AMIs, spot/on-demand strategies)
- FSx (Lustre/NetApp ONTAP for high-performance storage)
- VPC, Security Groups, IAM, and networking fundamentals
- Experience with scripting languages such as Python, Bash, or similar
- Familiarity with Infrastructure-as-Code tools (Terraform, CloudFormation, or Ansible)
- Experience with CI/CD pipelines and version control systems (Git)
- A proactive, self-motivated approach to identifying and solving infrastructure challenges
- Strong communication skills to collaborate with cross-functional engineering teams
- Ability to work in a fast-paced environment with competing priorities
- Passion for automation and continuous improvement
Nice To Haves
- Experience with AWS ParallelCluster or similar HPC cluster management tools
- Background in the Semiconductor/EDA industry with understanding of:
- EDA tool workflows (simulation, synthesis, place & route, verification)
- License management and job scheduling (LSF, Slurm, SGE)
- Debug scenarios specific to silicon design environments
- Knowledge of container technologies (Docker, Singularity)
- Experience with monitoring and observability tools (CloudWatch, Prometheus, Grafana)
- AWS certifications (Solutions Architect, SysOps Administrator) are a plus
- Experience with hybrid cloud architectures (on-prem + cloud)
- Familiarity with cost optimization strategies for large-scale cloud deployments
- Understanding of security best practices in regulated environments
- Experience with AI based tools like claude-code or copilot a plus
Responsibilities
- Design, deploy, and maintain cloud infrastructure on AWS to support silicon engineering workloads
- Manage and optimize EC2 instances, FSx file systems, and related AWS services for high-performance computing needs
- Implement and manage AWS ParallelCluster for provisioning and scaling compute clusters and partitions
- Troubleshoot and resolve complex infrastructure issues across cloud and on-premises environments
- Develop automation scripts and Infrastructure-as-Code (IaC) solutions to streamline operations
- Collaborate with EDA tool administrators and silicon engineers to optimize workflows and resource utilization
- Monitor system performance, implement alerting, and ensure high availability of critical infrastructure
- Document processes, runbooks, and best practices for team knowledge sharing
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
