Staff Cloud DevOps Engineer

Analog Devices, Inc. (NASDAQ: ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $12 billion in FY22 and approximately 25,000 people globally working alongside 125,000 global customers, ADI ensures today’s innovators stay Ahead of What’s Possible.

Staff Cloud DevOps Engineer

Analog Devices is uniquely positioned for success at the boundary of the physical and digital worlds. Analog Devices transforms physical phenomena – sound, light, radio waves, voltages, currents, and motion – into high-fidelity data. Our mission is to build the Intelligent Edge, where AI transforms how we solve challenging problems by combining deep application knowledge, close customer relationships, extraordinary data, advanced circuits, and breakthrough algorithms.

Analog Devices has established the AI Solutions Business Unit to deliver AI-enabled products to our vast markets. The AI Solutions BU develops products at all technology stack layers, from AI-enabled cloud-based software-as-a-service applications to embedded AI-enabled systems-on-chips. The AI Solutions BU collaborates with our Market BUs to solve problems beyond the reach of pure semiconductor, circuit-level, or architectural innovation.

We are seeking an experienced Cloud DevOps Engineer to join our team to contribute to the design, development, and maintenance of our cloud infrastructure for AI/ML applications. The ideal candidate will have a solid foundation of internet engineering fundamentals, a strong background in applying DevOps methodologies, a deep understanding of cloud technologies, and deep experience with infrastructure-as-code or configuration management tools.

Responsibilities:

• Design, develop, and maintain the Cloud infrastructure for AI/ML-enabled applications using infrastructure-as-code software tools (e.g., Terraform, Puppet, Ansible, Salt, Chef)

• Setup and maintain CI/CD pipelines and other developer tools

• Ensure our Cloud infrastructure's security, availability, and reliability via monitoring, observability, and alerting

• Work closely with our Software Engineers to optimize performance and scalability and deliver highly available customer-facing products

• Create infrastructure code and reference architectures for orchestrating environment creation, housekeeping, and deployment throughout the application and product life-cycles

• Support pre-production and production environments, diagnose and troubleshoot problems in code and in the environment, conduct root cause analyses and incident post mortems

• Act as a mentor for other members of the team

• Stay up to date with the latest developments in cloud technologies and operational tools

Requirements:

• At least 5 years of experience in a cloud-based, DevOps, or software engineering role supporting production applications or production environments

• At least 3-4 years of experience in an on-call rotation, supporting production applications, or otherwise being responsible for resolving time-sensitive issues in customer-facing applications.

• At least 2-3 years of experience operating in at least one major cloud provider: GCP, AWS, or Azure; GCP experience preferred

• Deep knowledge of containerization and packaging using technologies such as Docker or Podman or CRI-O, Helm or Kustomize

• At least 2 years of experience operating a container orchestration platform, such as Kubernetes, in a production environment

• At least 1-2 years of experience with CI/CD tools such as GitLab CI, GCP Cloud Build, Jenkins, or Github CI

• At least 2-3 years experience developing infrastructure-as-code targeting a production environment (e.g., Terraform, Puppet, Ansible, Salt, Chef)

• At least 2-3 years of experience with software development life-cycle, processes, and tools (e.g. Agile/Scrum, Kanban); experience with ITIL or IT Service Management processes is also a plus

• Deep knowledge of Linux CLI tooling and Linux fundamentals, working with and supporting git code repositories, creating and maintaining service integration tooling

• Working knowledge of at least one programming language; Go strongly preferred

• Experience with Kubernetes Operator Framework a strong plus

• Strong communication and collaboration skills, and excellent problem-solving skills are a must

• A Bachelor's degree in Computer Science, Information Technology, or another related field

• RHCE, LFCS, LPIC-2, Google Cloud DevOps Engineer, AWS Certified DevOps Engineer – Professional, or equivalent certification

For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position – except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) – may have to go through an export licensing review process.

Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.

Job Req Type: Experienced

Required Travel: Yes, 10% of the time

Shift Type: 1st Shift/Days