SparkCognition catalyzes sustainable growth for our clients throughout the world with proven artificial intelligence (AI) systems, award-winning machine learning technology, and a multinational team of AI thought leaders. Our clients are trusted with advancing lives, infrastructure, sustainability, and financial systems across the globe. They partner with SparkCognition to understand their industry's most pressing challenges, analyze complex data, empower decision-making, and transform human and industrial productivity with scalable AI solutions to solve the problems that matter most. With our leading-edge artificial intelligence products and solutions, our clients can adapt to a rapidly changing digital landscape, accelerate their business strategies, and reduce environmental impact creating a better, smarter, and more sustainable world.
We are looking for a strong Senior Software Engineer (Scala/Java) 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 a machine-learning object detection and classification product
• 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
• Mentoring our more junior developers

You may be a fit for our team if you have:

• Strong software development experience, preferably using multiple programming languages
• Experience with Scala, functional programming languages, or a deep understanding of Java and be interested in making the transition to Scala development is a must
• The ability to demonstrate an understanding of Microservices architectures and patterns
• A strong understanding of message-driven architectures
• Experience building REST APIs
• 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
• Familiarity with Cloud computing frameworks (AWS, Azure, Google Cloud)

Some additional skills that would make you stand out:

• Familiarity with Python
• Experience developing efficient and scalable ETL pipelines for machine learning
• Familiarity with NoSQL databases (MongoDB, Redis, Cassandra, etc.)
• Experience with Akka or other message-driven systems (Pulsar, Kafka, etc)

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