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Leading Innovation in Data Analytics
2 weeks ago
We are seeking a skilled professional to join our team as a Lead Software Engineer. This key engineering role is focused on driving the development of innovative, privacy-first data solutions that scale.
As a Lead Software Engineer, you will be responsible for architecting and building cutting-edge big data analytics platforms. You will empower enterprises to unlock actionable insights in real time by designing scalable microservices, handling complex data workflows, and deploying cloud-native PaaS solutions that prioritize security and scalability.
Key Responsibilities:- Architect and Deliver: Design reactive micro-services using Spring Boot, Java, RabbitMQ, MongoDB, Kubernetes, and more.
- Write Maintainable Code: Prioritize readability, testing, and CI/CD automation while maintaining current system performance gains.
- Translate Ambiguity into Action: Collaborate with product and data teams to clarify requirements, then lead technical discussions to align priorities.
- Optimise Relentlessly: Tune code performance, design database storage models, streamline distributed workflows, and implement observability for high-throughput systems.
Required skills include 8+ years of experience building enterprise-grade backend systems, mastery of software engineering principles and practices, strong knowledge of Spring Boot, Java, Git, and CI/CD pipelines, proven experience designing fault-tolerant systems, and expertise working with large-scale data storage solutions.
Soft skills include proven communication, adaptability, mentorship mindset, teamwork, and demonstrated ability to work independently as a self-starter.
Benefits:- Opportunity to work on cutting-edge projects and develop new skills.
- Collaborative and dynamic work environment.
- Competitive compensation and benefits package.
The successful candidate will be a passionate problem-solver with intellectual curiosity and a high sense of ownership. They will thrive in a fast-paced, team-first environment and be comfortable communicating complex technical concepts to non-technical stakeholders.