Sys-devops , EDA Devops team

AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon S3 and Amazon EC2, to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS.

Annapurna Labs, a semiconductor company established by industry veterans and now part of Amazon Web Services, powers the world's largest cloud provider. We offer a dynamic, collaborative environment where you'll work on disruptive technologies using AWS cloud computing and AI.

We're seeking a highly skilled DevOps Engineer who is a team player, eager to learn and innovate. You'll develop challenging software infrastructure and services using AWS cloud computing technologies and AI in a fast-paced, open environment.

What We Offer
• Opportunity to work with technologies that power the world's largest cloud provider
• Dynamic, open, and collaborative team environment
• Challenging projects involving cloud computing and AI technologies
• Professional growth and learning opportunities


Key job responsibilities
Infrastructure & Automation
• Lead projects across multi-disciplinary environments, including large-scale CI systems, HPC, and EDA flows
• Design and maintain CI/CD pipelines using modern tools and best practices
• Develop infrastructure as code using Ansible and other automation tools
• Build and support large-scale, distributed infrastructure
Technical Leadership
• Work independently and collaboratively within an elite engineering team
• Troubleshoot complex technical issues using strong analytical and problem-solving skills
• Communicate effectively with technical and business stakeholders at all levels
• Create clear, concise technical documentation

Basic Qualifications

- Linux & Programming
- • 2+ years of experience with Linux systems (Red Hat family preferred)
- • Professional-level proficiency in Python and Bash
- • Working knowledge of additional languages (e.g., Tcl, Java, C++, Go, or Rust)
- DevOps & CI/CD
- • Extensive experience building and maintaining CI/CD pipelines (Jenkins preferred)
- • Advanced knowledge of Git and multi-repository management tools (Gerrit, GitLab, Repo)
- • Strong hands-on experience with Ansible
- • Familiarity with distributed systems at scale
- Cloud & Containers
- • Demonstrated expertise in AWS cloud infrastructure and services
- • Experience with cloud-native architectures
- • Practical experience with Docker containerization
- • Familiarity with Kubernetes (Amazon EKS preferred)
- Monitoring & Networking
- • Proficiency with monitoring solutions: OpenSearch, Zabbix, Grafana, Prometheus, Loki
- • Strong networking fundamentals: TCP/IP, secure data transfer, network troubleshooting

Preferred Qualifications

- Experience with AI/ML tools, including agentic AI and LLM technologies
- Proven ability to manage projects across technical and business stakeholders
- Experience with HPC or EDA environments
- Contributions to open-source projects

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