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:

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.

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