Work Schedule
Standard (Mon-Fri)
Environmental Conditions
Office
Job Description
When you’re part of Thermo Fisher Scientific, you’ll do challenging work, and join a team that values performance, quality and innovation. As part of a successful, growing global organization you will be encouraged to perform at your best. With revenues of more than $40 billion and the largest investment in R&D in the industry, we give our people the resources and chances to create significant contributions to the world.
Our group
At Physical Failure Analysis group (PFA), we develop and maintain the software for automation of operation of Scanning Electron Microscopes. Our solution is crucial for semiconductor industry to identify errors in the production of semiconductor components and advance their research and production, to make them more robust, reliable, energy efficient.
As a member of an international team of scientists, software developers, and engineers, you'll support development of application software that will allow to automate the instrument. Insights and recommendations you provide will improve solution robustness, speed up research of new technology or algorithms and help the team with making better research decisions.
Daily Challenges
We are looking for a skilled engineer who can help us build a data-driven environment to improve our product. We also want to provide our customers with relevant data and help them understand process results.
Typical tasks will be:
- Designing and building infrastructure for internal data-driven decisions
- Build tools for data collection from various sources in the microscopy ecosystem
- Developing customer-facing on-premise solutions for maintaining data platform
- Close collaboration with both data analysts and process developers
Knowledge, Skills, Abilities
- University degree in Computer Science or related
- Broad professional software engineering experience
- Profound, demonstrable knowledge of the Python ecosystem
- Knowledge of application interfaces (REST, SOAP, GraphQL, etc.)
- Unix/shell scripting
- Database fundamentals (normal forms, ER model)
- Proficient in English language
- Passion for bringing new insights and technologies
- Ability to work in a multi-functional team and willingness to understand the wider context of data
The following skills are nice to have:
- Experience with cloud-based services (AWS)
- Knowledge of IaC framework (Terraform, CDK)
- Basic principles of distributed "large-scale" systems (Apache Hadoop, Spark, Flink, etc.)
- Knowledge of automation/configuration frameworks (Ansible, Chef, Puppet)
Technology we use
- Databases: PostgreSQL, Elasticsearch, MongoDB, CockroachDB
- Observability: OpenTelemetry, ELK Stack (Elastic+Logstash+Kibana), EFK Stack (Elastic+FluenTD+Kibana)
- Visualization: Kibana, Superset, Python (Plotly)
- Apache Nifi
- Kafka, RabbitMQ
