AI/ML Cloud Infrastructure Staff Engineer

US, TX, Austin, N. Capital

Analog Devices

Analog Devices is a global leader in the design and manufacturing of analog, mixed signal, and DSP integrated circuits to help solve the toughest engineering challenges.

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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 FY23 and approximately 26,000 people globally working alongside 125,000 global customers, ADI ensures today’s innovators stay Ahead of What’s Possible. Learn more at www.analog.com and on LinkedIn.

          

Analog Devices (NASDAQ: ADI) designs and manufactures semiconductor products and solutions. We enable our customers to interpret the world around us by intelligently bridging the physical and digital worlds with unmatched technologies that sense, measure, and connect. 

Central AI Org overview:

ADI’s Central Artificial Intelligence (AI) team develops next-generation AI technology that transforms our understanding of the physical world.  We develop solutions at multiple tech stack layers, from AI-enabled software applications to deeply embedded AI algorithms.  We aim to build the Intelligent Edge and transform every impactful enterprise area with AI-driven solutions.

As a critical team member, you will contribute to developing a secure, scalable, and reliable Cloud hosting infrastructure and onboard applications to the platform. 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. This is a senior role that requires 80% hands-on technical development.  

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 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 response 
  • 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 12+ years of experience in a cloud-based, DevOps, or software engineering role supporting production applications or production environments 
  • At least 7 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 12+ years of experience operating in at least one major cloud provider: GCP, AWS, or Azure; Azure experience preferred 
  • At least 7+ years of driving distributed system architecture
  • Deep knowledge of containerization and packaging using technologies such as Docker or Podman or CRI-O, Helm or Kustomize 
  • At least 8+ years of experience operating a container orchestration platform, such as Kubernetes, in a production environment 
  • At least 10+ years of experience with CI/CD tools such as GitLab CI, Azure/ GCP/AWS Cloud Build, Jenkins, or Github CI 
  • Experience hosting and scaling data infrastructure and integrating multi-cloud environments.
  • Deep understanding of Buy Vs Build strategy
  • Value culture and good relationship-building with cross-functional teams
  • Expert Unix/Linux and networking skills and proficient in system integration 
  • Deep understanding of web app. hosting, micro-service architecture
  • Working experience with ML-OPS/LLM-OPS preferred
  • Proficient in SRE activities
  • Proficient in infrastructure automation and deployment processes to ensure seamless integration with cloud services.
     

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.

Job Req Type: Experienced

          

Required Travel: Yes, 10% of the time

          

Shift Type: 1st Shift/Days

          

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Ansible Architecture AWS Azure CI/CD DevOps Docker Engineering GCP GitHub GitLab Helm Jenkins Kubernetes Linux LLMs Machine Learning MLOps Pipelines Puppet Security Terraform

Perks/benefits: Team events

Region: North America
Country: United States

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