Development Engineer (Midops)

Responsibilities:

• Design, develop, and maintain scalable backend systems using Java, Spring Boot, and Python.
• Build and maintain microservices and event-driven architectures using Kafka.
• Develop and maintain REST APIs, ensuring efficient communication between distributed services.
• Design and implement reliable data storage and retrieval solutions using PostgreSQL, MongoDB, and other SQL/NoSQL databases.
• Take ownership of end-to-end development, from technical design and implementation to deployment and production support.
• Build highly available and fault-tolerant systems by implementing resilience patterns such as retries, circuit breakers, and graceful degradation.
• Optimise application performance, latency, throughput, and resource utilisation.
• Implement asynchronous processing and messaging workflows for distributed applications.
• Ensure production readiness through effective monitoring, logging, alerting, and distributed tracing.
• Collaborate with cross-functional teams to define APIs, service contracts, and data models.
• Contribute to CI/CD pipelines, automated testing, and deployment processes.
• Write clean, maintainable, reusable, and well-tested code following engineering best practices.
• Use production metrics and monitoring data to continuously improve system reliability and performance.
• Participate in code reviews, technical discussions, and architectural decisions.
• Explore opportunities to leverage automation and AI-driven enhancements within backend systems.

Requirements:

• Strong expertise in Java and Spring Boot for developing scalable and high-performance backend services.
• Hands-on experience with Python for backend development, automation, scripting, or building service components.
• Deep understanding of distributed systems design, including scalability, fault tolerance, high availability, and eventual consistency.
• Hands-on experience with microservices architecture and event-driven systems using messaging platforms such as Apache Kafka.
• Proficiency in designing, developing, and maintaining RESTful APIs and service contracts.
• Experience working with relational and NoSQL databases, particularly PostgreSQL and MongoDB, including data modelling and performance optimisation.
• Strong understanding of asynchronous processing, messaging patterns, and inter-service communication.
• Experience in building high-throughput, low-latency, and reliable backend services.
• Familiarity with cloud-native development environments such as AWS, GCP, or Azure.
• Experience with containerisation and orchestration technologies such as Docker and Kubernetes.
• Knowledge of CI/CD pipelines, automated testing, and deployment strategies.
• Understanding of observability practices, including logging, monitoring, alerting, and distributed tracing.
• Solid foundation in data structures, algorithms, and problem-solving.
• Working knowledge of secure coding practices and authentication/authorisation mechanisms.
• Exposure to AI-assisted development tools and integrating AI-driven components into backend systems is an added advantage.
• Ability to leverage AI coding assistants to improve development productivity and code quality.

Mandatory Skills:

• Java
• Spring / Spring Boot
• Python
• Apache Kafka
• Microservices Architecture
• REST API Development
• MongoDB
• SQL / NoSQL Databases
• PostgreSQL
• Distributed Systems

Skills

Distributed Systems, Java, Kafka, Microservices, MongoDB, PostgreSQL, Python, REST API, Spring Boot