Lead Software Engineer

Scope:

• The Execution Machine Learning team works closely with sales, product, and engineering teams to design and implement the next-generation retail solutions. Data Science team members are tasked with turning both small, sparse, and massive data into actionable insights with measurable improvements to the customer bottom line. They use rigorous analysis and repeatable processes to implement black box and interpretable models.
  Our machine learning platform ingests data in real-time, processes information from millions of retail items to serve deep learning models, and produces billions of predictions daily

What you'll do:

• Design, architect, implement and help operate the Execution Machine Learning platform:
  • Developing large-scale data processing pipelines to facilitate the building and training of new machine learning algorithms
  • Developing and gaining insight into the application architecture.
  • Distilling 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. Prototype and validate new technologies or frameworks.
  • Implementing processes, extending, and configuring open-source components.
  • Ensure code quality through code reviews and mentoring, set technical standards and best practices, and ensure code quality through code reviews and mentoring.
  • Translate business needs into technical specifications.
  • Facilitate communication within the team and with other departments.
• Collaborate with Cross-Functional Teams to Operate the Platform:
  • Helping implement DevOps best practices of in-house and open-source components.
  • Ensuring smooth operation via monitoring and alerting facilities
  • Collaborating on integration, ensuring smooth functionality, and maintaining high-performance standards.
• Partner with Data Scientists to Enhance Model Development and Deployment:
  • Apply the appropriate software engineering patterns to build robust and scalable systems for model building and serving.
  • Design scalable solutions for efficient model building and serving.

What we are looking for:

• Bachelor’s degree in computer science is required, Masters is preferred
• 8+ years of software engineering experience building production-grade software.
• 5+ years of Python programming experience with an excellent understanding of Object-Oriented Design & Patterns.
• 4+ years of experience working on Azure cloud environment.
• 2+ years of experience in Frontend technologies, JavaScript, TypeScript, React
• 3+ years of experience in building REST APIs
• 3+ Working Experience on Kafka and its integration with Cloud Services.
• 3+ years of Linux scripting experience
• 2+ years working with traditional and new relational SQL DBMS; Hive and Snowflake preferred.
• Excellent working knowledge of Kubernetes and other virtualized execution technologies
• 1+ years of experience with NOSQL databases; Cassandra, HBase, Redis
• 1+ years of experience with one popular Python framework (like Django, FASTAPI)
• 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 Apache Flink/DataBricks
• 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.

Our Values

If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success – and the success of our customers. Does your heart beat like ours? Find out here: Core Values

Diversity, Inclusion, Value & Equality (DIVE) is our strategy for fostering an inclusive environment we can be proud of. Check out Blue Yonder's inaugural Diversity Report which outlines our commitment to change, and our video celebrating the differences in all of us in the words of some of our associates from around the world.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.