Sr Software Engineer - Python

• Design, architect, implement and help operate the Machine Learning platform
• Develop and gain insight in the application architecture
• Distill an abstract architecture into concrete design and influence the implementation
• Observing inefficiencies, both in cost and reliability, of existing processes
• Researching alternative solutions using custom or existing open source technologies
• Designing replacement processes and components
• Implementing processes, extending and configuring open source components
• Work with the ML DevOps and Support teams to operate ML platform
• Helping implement DevOps best practices of in-house and open source components
• Ensuring smooth operation via monitoring and alerting facilities
• Work with the ML data scientists to Apply the appropriate software engineering patterns to build robust and scalable systems for both model building and serving
• Develops quality software according to clean code principles and Blue Yonder standards and writes effective test cases
• Autonomously pulls issues from the team backlog or supports other team members with their issues as appropriate
• Participates in team activities such as backlog grooming, planning, daily stand-ups, and retrospectives
• Understands basic functional and technical requirements of software components
• Contributes to designs of individual stories
• Continuously improves themselves and the code they produce
• Incorporates aspects of information security in their own work
• Develops an understanding of how changes in the team’s deliverables affect other teams and the customer
• Autonomously plans and performs routine changes
• Independently resolves incidents around a limited set of service functions
• Independently handles service requests
• Realizes that resource consumption directly affects SaaS profitability.

• Bachelor’s degree in computer science is required, Masters is preferred
• 4+ years of software engineering experience building production software
• Experience in Frontend technologies, JavaScript, TypeScript, React
• Good working knowledge of Kubernetes and other virtualized execution technologies
• 1+ years of experience working on at least one cloud environment, GCP preferred
• 4+ years of Python programming experience with excellent understanding of Object-Oriented Design & Patterns
• 3+ years of experience in building REST APIs
• 1+ Working Experience on Kafka and its integration with Cloud Services
• 3+ years of Linux scripting experience
• 1+ years working with traditional and new relational SQL DBMS
• Hive and Big Query preferred
• 1+ years of experience with NOSQL databases
• Cassandra, Hbase, Redis
• Strong CS fundamentals in algorithms and data structures
• Should have experience working with CI/CD, automated unit, and integration testing
• Some experience with streaming frameworks, preferably Beam on Samza/Flink/DataFlow
• Familiarity with modern Big Data computing platforms such as Hadoop and Spark
• Exposure to one or more of: Pandas, NumPy, sklearn, Keras, TensorFlow, Jupyter, Matplotlib etc.

Good to have Supply Chain domain knowledge.