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• Develop and maintain a rapidly expanding AI Core Platform, as well as building applications on top.
• Develop APIs & Batch Processing with technologies such as Python, Flask, Java, Spring, MSSQL, Snowflake in an Azure infrastructure.
• Help design and drive the implementation of a scalable and robust core AI platform and models to enhance operational efficiency.
• Develop unit tests and test end to end using tools such as Postman.
• Given a design, decompose the design to deliverable stories.
• Participate in Scrum ceremonies: Story Elaboration, Sprint Planning, Daily Standups, Retrospectives.
• Review Pull Requests and provide constructive feedback.

Qualifications & Experience

• 8+ years of experience in Software Engineering focused on backend development in an Agile SDLC environment.
• Solid hands-on experience in Python or Java and CI / CD tools (e.g., Github, Docker, Jenkins).
• Understands cloud native development with the understanding of Microservices Architecture.
• Experience with Linux/Unix.
• Understands database concepts (DDL, DML, Indexing, Partitioning, etc)
• Experience in deploying cloud native applications to a cloud infrastructure (AWS, Azure, Google Cloud)
• Experience with design patterns (MVC, Product & Consumer, Singleton, Factory, etc)
• Understands application security concepts: Encryption, Decryption, SSL, JWT, Authentication, Authorization

• Experience in collaborating on small POCs (Proof of Concepts) with other engineers.
• Experience conducting performance tests and monitoring applications with tools such as Dynatrace
• Strong ownership and communication skills, with the ability to effectively collaborate with team members and stakeholders.
• Ability to actively coach less experienced team members and be an influencer in the team.

• Comfortable challenging peers and leaders to drive strategy forward.
• Nice to have:
  • Familiarity with GenAI, NLP (Natural Language Processing)
  • Front end development experience (e.g. JavaScript, Angular, React, Vue.js)