As a Senior Software Engineer on the AI Engineering Team at Cotiviti, you will be a leading force in developing robust, scalable machine learning solutions for healthcare applications. This senior-level position involves significant responsibility, including leading design and development efforts, mentoring junior engineers, and ensuring the delivery of high-quality solutions.

Basic Qualifications:

• Bachelor’s degree in Computer Science, Engineering, Math, or a related field, or equivalent experience
• 7+ years of experience with Hadoop tech stack (Spark, Kafka)
• Should have experience with batch processing on large scale data with Spark and real-time without Spark
• Proficiency in programming languages such as Scala or Python
• Extensive experience with Kafka and data streaming platforms
• Advanced knowledge of Data Bricks on AWS or similar cloud platforms
• Proven experience building and maintaining microservices
• Deep understanding of data architecture principles
• Experience leading design and development of large systems
• Proficiency with CI/CD tools like Jenkins
• Experience with Unix/Linux operating systems
• Familiarity with Agile processes and tools like Jira and Confluence
• Strong drive to learn and advocate for development best practices
• Strong knowledge on troubleshooting and optimizing Spark applications

Preferred Qualifications:

• Experience with Data Bricks on Azure/AWS
• Experience with Kafka, DataStream/DataFrame/DataSet
• Advanced proficiency with containerization tools like Docker, Kubernetes
• Knowledge of machine learning frameworks and tools such as DataRobot, H2O, ML Flow
• Experience with big data tools like Spark, Scala, Oozie, Hive or similar Streaming technologies Kafka, SparkStreams, RabbitMQ
• Experience with Continuous Integration and Delivery, unit testing, and functional automation testing
• Having API development experience will be a good addition.
• Healthcare domain experience will be a plus.

Responsibilities:

• Lead the development and implementation of machine learning solutions for healthcare applications
• Guide and mentor a team of developers and testers
• Collaborate with data scientists and other engineers to design and build scalable solutions
• Write, test, and maintain high-quality code along with Code coverage
• Lead design and code review sessions
• Troubleshoot and resolve complex technical issues
• Document your work and share knowledge with the team
• Advocate for and implement development best practices
• Train and mentor junior engineers and software engineers

Who You Are:

• Curious: You are always looking to deepen your understanding of complex problems.
• Creative: You enjoy coming up with innovative solutions to difficult challenges.
• Practical: You focus on delivering solutions that have real-world applications and value.
• Focused: You maintain a clear vision of your goals and work diligently to achieve them.
• Determined: You are committed to contributing to the development of advanced machine learning capabilities.