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.
Only Immediate joiners
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.
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.
