Senior Manager, DevOps & AI/MLOps

About Analog Devices

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 $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today's innovators stay Ahead of What's Possible™. Learn more at www.analog.com and on LinkedIn and Twitter (X).

Job: Senior Manager, DevOps & AI/MLOps

Job Description

Analog Devices Inc's (ADI), Developer Platforms team is seeking an enthusiastic and versatile leader with a passion for creating a frictionless developer experience for a global team software engineers and data scientists. The team works across the entire company to provide tools and infrastructure to streamline the development, release, and deployment of software, as well as improve the developer experience by providing capabilities to increase developer productivity and reduce development overhead.

Joining our team means you’ll have the opportunity to make a significant impact by shaping the future of our AI/ML infrastructure and practices. You’ll work alongside talented professionals and engage with cutting-edge technology, ensuring your skills remain at the forefront of the industry. We value flexibility and encourage our team members to influence key decisions regarding tools, platforms, and processes, giving you a real voice in how we operate. If you’re looking for a role where your expertise is recognized and your contributions directly drive innovation and growth, this is the place for you.

Qualifications:   The ideal candidate will hold one or more Computer Science degrees. Additionally, they will have demonstrated:

• Proven experience as a DevOps or MLOps manager/leader, or as an architect-level engineer with management responsibilities supporting AI/ML teams or large-scale production systems.
• A strategic communicator who can translate the upper management and business goals into clear team priorities, directions, deliverable achievements and keep alignment across stakeholders
• Background in building, scaling, or operating ML systems (preferably from ingestion to deployment and serving), or direct experience with public ML applications and their unique challenges.
• Deep understanding of cloud computing at the architect level (any major cloud; vendor specifics less important than breadth and adaptability).
• Expertise in containerized environments and infrastructure as code (IaC); must be able to articulate the organizational value and management interactions of IaC and Policy as Code (PaC).
• Track record of infrastructure minimalism—prioritizing simplicity, efficiency, and automation.
• Project management skills, with familiarity in Agile methodologies; openness to adapting processes to fit the team's needs.
• Strong history of hands-on delivery, rapid learning, and adaptability—what you’ve built and shipped matters more than degrees or certifications alone.
• Strong technical background, comfortable to engage in architecture discussions, evaluate tradeoffs and keen to share guidance.
• Support and empower the team. Clear blockers, protect and respect focus time, trust the team to make technical decisions, give autonomy while keeping us aligned with the broader vision.
• Experience with GitHub, Terraform, OpenShift and Argo CD is highly desirable

Responsibilities:

• Team Leadership: Manage and mentor a global, cross-functional DevOps/MLOps team supporting AI/ML engineers and data scientists.
• Infrastructure Strategy: Guide the selection, design, and deployment of minimal, reliable, and secure cloud-native infrastructure for AI/ML projects as well as hybrid cloud and on-prem with RedHat OpenShift.
• Workflow Automation: Oversee the development and automation of ML pipelines from data ingestion to model serving and monitoring.
• Collaboration: Serve as a bridge between IT, software developers, and ML practitioners, ensuring alignment and successful delivery of production-grade ML applications.
• Agile Execution: Drive projects using Agile or alternative methodologies, adapting to the needs of the team and the organization.
• Cloud Architecture: Architect and oversee cloud solutions using containerization, GitOps and Infrastructure as Code principles, while enabling the team’s autonomy in tooling selection.
• Process Improvement: Continually assess and evolve DevOps/MLOps processes for better efficiency, scalability, and security.

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.

EEO is the Law: Notice of Applicant Rights Under the Law.

• Actual wage offered may vary depending on work location, experience, education, training, external market data, internal pay equity, or other bona fide factors.

• This position qualifies for a discretionary performance-based bonus which is based on personal and company factors.

• This position includes medical, vision and dental coverage, 401k, paid vacation, holidays, and sick time, and other benefits.