Engineering Manager

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.

Skills

django, fastapi, flask, kafka, microservices, python