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). The ideal candidate will be proficient in event-driven architectures using Kafka, familiar with Java-based microservices, and experienced with NoSQL databases (preferably Snowflake). You'll collaborate with cross-functional teams to design, develop, and deploy scalable, high-performance backend services — and optionally contribute to front-end components (React, Node.js ) or Generative AI-driven features in our product ecosystem.
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 (preferably 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.
- Optionally, 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.
Our current technical environment:
- Software: Python, Java, Springboot, React, Gradle, GIT, Hibernate, Rest API, OAuth.
- Application Architecture: Scalable, Resilient, event-driven, secure multi-tenant Microservices architecture.
- Cloud Architecture: MS Azure (ARM templates, AKS, HDInsight, Application Gateway, Virtual Networks, Event Hub, Azure AD).
- Frameworks/Others: Kubernetes, Kafka, Elasticsearch, Spark, NOSQL, RDBMS, Springboot, Gradle, Git, Ignite.