Software Engineer Iii Scala
hace 4 días
We are looking for a strong Software Engineer III (Python) for our SparkPredict® team. This developer will be part of an integrated team that includes data scientists and software engineers. They will be working in tandem on an industrial IoT platform that analyzes sensor data to perform predictive maintenance.
**If you were working for us today, you would be**:
- Developing software in support of our asset protection and optimization product, SparkPredict®
- Contributing to many of the core services which power our products
- Working with data scientists to help package models into SparkPredict
- Developing, maintaining and tuning micro-services related to sensor data processing and predictive analytics
- Owning your work items
- Helping design, code, integrate, document and test new features
**You may be a fit for our team if you have**:
- Strong software development experience, preferably using multiple programming languages
- Experience programming in Python with type hinting tools like Pydantic and Mypy
- The ability to demonstrate an understanding of Microservices architectures and patterns
- Experience building REST APIs using technologies such as uvicorn and fast API
- A strong desire to build high quality code and experience with the tooling to do so. (coverage, pylint, pycodestyle, pydocstyle, etc)
- Strong proficiency with SQL and relational databases (i.e. PostgreSQL) with the ability to optimize SQL and make schema changes
- Experience writing unit tests and integration tests.
- Familiarity with container technologies (Docker, Kubernetes, etc)
- Proficiency with Agile development practices
- The ability to work effectively with cross-functional teams containing engineers and data scientists
- The ability to drive quality, security, and performance into the product and team practices
- The mindset to take a work item and drive it to completion
**It would be great if you also had**:
- Familiarity with functional programming concepts. Scala knowledge is a bonus
- Experience developing efficient and scalable ETL pipelines for machine learning
- Familiarity with NoSQL databases (MongoDB, Redis, Cassandra, etc.)
- Experience with message driven systems (Pulsar, Kafka, etc)
- Familiarity with message driven architectures
- Familiarity with Cloud computing frameworks (AWS, Azure, Google Cloud)
- Location
San José, San Jose
- Department
Recruiting
- Employment Type
Full-Time
- Minimum Experience
Experienced
- Compensation
USD $
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