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 Platforms and Solutions team works cross-functionally to advance applications in areas such as robotics, renewable energies, or advanced bio-technology.
Together, we develop and maintain the foundational platform that allows ADI to rapidly prototype and deploy sensor-to-cloud innovations.
The ideal candidate will have a deep understanding of Python and cloud applications in general. He or she will have a proven track record of success in developing and delivering high-quality software.
The Senior Python Engineer will be responsible for creating and maintaining tools and components used by our scientists to discover new technologies and their practical applications The ideal candidate will have a strong passion for software development, a commitment to quality, the drive to learn constantly, and a desire to work in a collaborative and supportive environment.
Other Expectations
Design for modularity and reuse. Develop robust, scalable, and fault-tolerant solutions. Write user and API documentation and unit tests.
Automate the build, test, and deployment of your code.
Qualifications
MSCS and minimum 3 years experience or 5 years of relevant work experience.
The primary qualification is the demonstrated ability to deliver the above objectives, as proven by results from projects of similar scope and complexity.
Have mastered developing within medium and large-scale Python project(s).
The following technologies are relevant for the position :
- Experience with building and publishing Python packages (poetry, PyPi)
- Experience with Pandas and NumPy
- Experience with database ORM and migrations (MongoDB, PostgresSQL)
- Experience with CI / CD systems
- Experience with data engineering
- Familiar with deploying applications using Kubernetes
- Familiar with message-driven architecture (RabbitMQ, MQTT, or similar)
- Familiar with using FastAPI or similar OpenAPI frameworks
- Familiar with at least one cloud provider like AWS, Azure, or GCP
- Experience with ML frameworks like pytorch or TensorFlow is a plus
- Experience with the integration of Python and C, C++, or Rust libraries is a plus
Job Req Type : ExperiencedRequired Travel : NoShift Type : 1st Shift / Days
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