Senior DevOps Engineer, Software Development Engineering

Senior DevOps Engineer

The Analog Garage is our internal innovation lab. Bringing together engineers, data scientists, and business leaders, we develop new technologies and solutions in a fast-moving, experiment-focused startup atmosphere.

As a leader in cutting-edge technology for over 50 years, Analog Devices has both a history of performance and the agility to engineer future breakthroughs.

Our Software Engineering Group works cross-functionally to advance applications in areas such as computer vision, robotics, wearable electronics, and intelligent edge devices.

Together, we develop and maintain the foundational platform that allows ADI to rapidly prototype and deploy sensor-to-cloud innovations.

Responsibilities

• Accelerate the Garage’s productivity by creating and expanding existing CI / CD pipelines. You will gain experience working across a wide variety of deployment targets that reach from resource constrained Systems on a Chip to complex Kubernetes Clusters hosted at the major cloud providers.
• Develop new and expand existing Infrastructure-as-Code templates and automation.
• Assist with Garage sysadmin functions and automation including AWS accounts, GitLab and build servers
• Design, implement, and unit test components of our Cloud and Edge data and orchestration system Cradle.

Other Expectations

Work collaboratively within the team. Provide guidance and mentorship to more junior teammates. Design for modularity and reuse.

Develop robust, scalable, and fault-tolerant microservice-driven architectures. Write user and API documentation. Develop unit and integration tests.

Required Qualifications

BSCS or equivalent.

Desired qualifications

• Experience with Gitlab, GitHub, Jira / BitBucket / Bamboo, or similar
• Working knowledge of Kubernetes and Docker
• Strong Linux fundamentals; comfortable in a shell (bash, zsh or similar)
• Prior experience with AWS (or similar)
• Proficient in a major language like Python, Rust, C++ or Golang
• Familiar with build systems like CMake or Gradle
• Willingness and ability to learn
• Action oriented and comfortable taking calculated risks
• Innately curious with a desire to understand the business model, operations and financial structure for the organization
• A bias for action and working in collaboration with others to deliver results

Nice to Haves

• Familiarity with Machine Learning Operations (MLOps)
• Experience with tools within the MLOps ecosystem such as Sagemaker or Azure Machine Learning
• Experience with Rust
• Experience working closely with Researchers / ML Engineers / Data Scientists and a familiarity with the challenges of bringing research grade code to production systems

Why you will like working at ADI

We place great value on individual judgment.

We allow our employees the freedom to explore new ideas and the autonomy to determine how to best achieve business goals and objectives.

• We emphasize professional development and mentoring.
• We foster a culture that values and leverages the uniqueness and broad perspectives of each employee. As a company that challenges assumptions, we know that we innovate better and achieve more when we bring together people of diverse backgrounds.

Diverse candidates are encouraged to apply.

Above all, we recognize that the personal goals of our employees and the company’s goals are closely related and must support each other.

Job Req Type : ExperiencedRequired Travel : NoShift Type : 1st Shift / Days