Lead Senior Associate Fullstack Java

• Experience: 4–8+ years of hands-on software engineering experience in full-stack application development.
• Java: Strong proficiency in Java, object-oriented programming, and core computer science concepts.
• Spring Boot: Experience developing backend applications and microservices using Spring Boot, Spring frameworks, and ORM technologies.
• ReactJS: Hands-on experience with ReactJS or another modern JavaScript framework, with a willingness to learn new technologies.
• Database Management: Strong experience with relational databases such as MySQL and PostgreSQL, including schema design and query optimisation.
• Microservices and Distributed Systems: Experience designing and developing microservices, RESTful APIs, and distributed applications.
• Computer Science Fundamentals: Strong understanding of data structures, algorithms, software design principles, and problem-solving techniques.
• Collaboration: Excellent communication skills and the ability to work effectively with cross-functional teams and diverse stakeholders.
• Engineering Practices: Familiarity with code reviews, automated testing, agile workflows, and production support.

A bachelor's or master's degree in Computer Science, Engineering, or a related discipline is preferred. Equivalent practical experience and demonstrated technical expertise will also be considered.

• Design, develop, test, deploy, and maintain scalable backend services and responsive user interfaces using Java, Spring Boot, ReactJS, and related technologies.
• Build and support scalable microservices and front-end applications for complex, high-traffic platforms.
• Develop RESTful APIs and integrate backend services with front-end applications and external systems.
• Translate product requirements and user stories into actionable technical tasks and deliver solutions from development through deployment.
• Write clean, reusable, maintainable, and well-documented code following established engineering standards.

• Contribute to the design and implementation of robust software architectures using microservices, distributed systems, and loosely coupled components.
• Take ownership of assigned features and services throughout their development lifecycle.
• Apply sound engineering principles to improve system performance, scalability, reliability, and maintainability.
• Identify technical risks, troubleshoot complex issues, and implement effective solutions for large-scale applications.
• Evaluate emerging technologies and engineering practices to support continuous improvement.

• Design, develop, and optimise relational database schemas, queries, and data-access layers using databases such as MySQL and PostgreSQL.
• Build reliable RESTful APIs and ensure efficient communication between distributed services.
• Apply appropriate data modelling, query optimisation, and database performance-tuning techniques.
• Ensure data integrity, application reliability, and efficient handling of complex business requirements.

• Improve system observability by implementing metrics, monitoring, logging, and alerting mechanisms.
• Define and track technical and operational metrics to evaluate system health, identify risks, and maintain service reliability.
• Participate in on-call rotations and support production systems through incident investigation, root-cause analysis, and resolution.
• Follow best practices for automated testing, code quality, deployment, and operational readiness.

• Collaborate with product, UX, and engineering stakeholders to understand requirements and deliver high-quality product features.
• Participate in code reviews, technical discussions, design reviews, and documentation.
• Mentor and support fellow engineers through knowledge sharing, constructive feedback, and technical guidance, without direct people-management responsibilities.
• Contribute to agile development practices and promote effective communication across technical and non-technical teams.
• Use AI-assisted development tools responsibly in accordance with organisational policies.

• Experience in advertising technology (Ad Tech) or digital advertising platforms.
• Familiarity with programmatic advertising, real-time bidding (RTB), or advertising delivery systems.
• Experience with modern JavaScript frameworks such as Vue.js or Angular.
• Exposure to cloud platforms such as AWS.
• Experience with DevOps and infrastructure tools such as Terraform, Docker, and Kubernetes.
• Familiarity with data-streaming and messaging technologies such as Apache Kafka, AWS Kinesis, and Amazon SNS/SQS.