About the Role :

We are seeking a highly skilled Engineering Manager with a strong background in distributed systems, DevOps practices, and Test-Driven Development (TDD). You will collaborate with cross-functional teams to design, develop, and deploy scalable, high-performance backend services.

Responsibilities :

- Design, develop, and maintain robust Python-based backend services and APIs.

- Build and integrate event streaming solutions using Apache Kafka for real-time data pipelines.

- Collaborate with Java teams to develop and maintain hybrid Python-Java microservices.

- Implement Test-Driven Development (TDD) practices and ensure high code coverage and maintainability.

- Design and optimise NoSQL data models (Snowflake, MongoDB, or DynamoDB).

- Develop and automate CI/CD pipelines using DevOps tools (Jenkins, GitHub Actions, Docker, Kubernetes).

- Collaborate with Data Engineering and AI teams to integrate analytics, ML, or Generative AI modules.

- Contribute to architectural design and performance optimisation discussions.

- Support front-end development in React.js or Node.js when needed for full-stack integration.

Requirements :

- 9+ years of professional experience in software development.

- Strong proficiency in Python (Flask, FastAPI, or Django frameworks).

- Solid understanding of event-driven systems and Apache Kafka.

- Hands-on experience with Java (Spring Boot or similar frameworks).

- Experience with DevOps tooling - Docker, Kubernetes, CI/CD, monitoring, and deployment automation.

- Expertise in NoSQL databases (Snowflake preferred; MongoDB, Cassandra, or DynamoDB acceptable).

- Practical experience with Test-Driven Development (TDD) and automated testing frameworks (pytest, unittest, JUnit).

- Strong grasp of software design principles, RESTful APIs, and microservices architecture.

Technical Environment :

- Software : Python, Java, Springboot, React, Gradle, GIT, Hibernate, Rest API, OAuth.

- Architecture : Scalable, Resilient, event-driven, secure multi-tenant Microservices.

- Cloud : MS Azure (ARM templates, AKS, HDInsight, Application Gateway, Virtual Networks, Event Hub, Azure AD).

- Frameworks/Others : Kubernetes, Kafka, Elasticsearch, Spark, NOSQL, RDBMS, Ignite.