Sr Software Engineer - Python

As a Sr. Software Engineer, you will design, architect, implement, and operate the Machine Learning platform, focusing on developing and gaining insight into application architecture. You will distill abstract architecture into concrete designs, research and implement solutions using custom or open-source technologies, and work with ML DevOps and data scientists to build robust, scalable systems for model building and serving. Responsibilities include developing quality software, writing effective test cases, participating in team activities, and continuously improving code and processes.

Must Have

• Bachelor’s degree in computer science
• 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
• 4+ years of Python programming experience with 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
• 1+ years of experience with NOSQL databases
• Strong CS fundamentals in algorithms and data structures
• Experience working with CI/CD, automated unit, and integration testing

Good to Have

• Masters degree in computer science
• GCP cloud environment experience
• Hive and Big Query experience
• Cassandra, Hbase, Redis experience
• Experience with streaming frameworks (Beam on Samza/Flink/DataFlow)
• Familiarity with modern Big Data computing platforms (Hadoop and Spark)
• Exposure to Pandas, NumPy, sklearn, Keras, TensorFlow, Jupyter, Matplotlib
• Supply Chain domain knowledge

Scope:

As a Sr. Software Engineer, you serve as a specialist in the engineering team that supports the team with following responsibilities. Design, architect, implement and help operate the Machine Learning platform by 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 by 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.

What you'll do:

• 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.

Secondary Duties and Responsibilities

• Autonomously performs small refactorings to improve local software quality.
• Is aware of the team's continuous integration pipeline and fixes broken builds as necessary.
• Actively provides feedback during code reviews.
• Onboards new members to the team and helps develop junior engineers.
• Assists associates with implementational and operational issues.
• Clearly communicates impediments and actively seeks support by team members to overcome obstacles.
• Participates in implementing performance benchmark tests.
• Understands company and team visions and the problem domain their team works on.
• Demonstrates problem solving and innovation ability.

What we are looking for:

• 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.

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

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.

About Us

Who are we?

We are a proven, passionate bunch of disruptors. Our work is all about tapping into your potential so we can deliver the best solutions and customer experiences on the planet. Collaboration, respect, and a great work-life balance earned us the title of "Best Place to Work- Employees' Choice" by Glassdoor. Our people are smart, creative, rock stars with over 400 patents and 10,000 people years of domain expertise.

What do we do?

Blue Yonder is the world leader in digital supply chain and omni-channel commerce fulfillment. Our intelligent, end-to-end platform enables retailers, manufacturers and logistics providers to seamlessly predict, pivot and fulfill customer demand. With Blue Yonder, you can make more automated, profitable business decisions that deliver greater growth and re-imagined customer experiences. Blue Yonder - Fulfill your Potential. ™ blueyonder.com

“Blue Yonder” is a trademark or registered trademark of Blue Yonder, Inc. Any trade, product or service name referenced in this document using the name “Blue Yonder” is a trademark and/or property of Blue Yonder, Inc.

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Scottsdale, AZ 85254

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