We are looking for a highly skilled and experienced Java Engineering Manager to lead our UKBI engineering team. The successful candidate will have a strong background in Java, microservices, serverless architecture, Docker, EKS, and search technologies such as Solr or Open Search. This role is ideal for someone who has experience resolving high-priority search incidents in production and can effectively manage a distributed, multi-cluster search environment. Day-to-day responsibilities require deep knowledge of distributed search systems and hands-on expertise with the associated technology stack.
Key Responsibilities
Lead and mentor a team of engineers, fostering their professional growth and providing ongoing guidance and support. Collaborate closely with cross-functional teams to understand data requirements and deliver solutions aligned with business objectives. Stay informed about the latest industry trends and technologies to promote innovation within the team.
Design, develop, and implement scalable software solutions using Java, microservices architecture, Docker, EKS, search systems like Solr or Open Search, and various AWS services. Ensure high-quality software delivery by adhering to best practices in coding, testing, and deployment. Actively participate in sprint activities, contributing hands-on to software development and implementation.
Maintain unit tests and support test automation efforts to guarantee software reliability and maintainability. Manage risks and technical challenges, communicating effectively with leadership to ensure project success. Troubleshoot and resolve complex technical issues promptly. Provide technical guidance and support to team members as needed.
Required Qualifications
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. A minimum of 10 years of professional experience, including at least 5 years working with Java, microservices, Python, SQL, and NoSQL database technologies. At least 4 years of experience managing engineering teams.
Proven ability to drive AI adoption to enhance engineering productivity, software quality, and operational efficiency. Hands-on experience with search technologies such as Solr or Open Search. Expertise in AWS services including EC2, EKS, and Lambda. Familiarity with DevOps practices and tools is essential. Strong communication and interpersonal skills, with the ability to collaborate effectively across all organizational levels.
Preferred Qualifications and Benefits
Certification in cloud platforms is highly desirable. Experience in building AI-enabled solutions will be considered an advantage.
About Experian
Experian is a global data and technology company that powers opportunities for people and businesses worldwide. Operating across diverse markets such as financial services, healthcare, automotive, agribusiness, and insurance, Experian invests heavily in people and advanced technologies to unlock the power of data. Our team comprises over 25,200 professionals across 32 countries.
We pride ourselves on a people-first, inclusive, and purpose-driven culture, recognized globally with awards such as World's Best Workplaces™ 2025 (Fortune Global Top 25) and Great Place To Work™ in 26 countries. Experian is committed to equal opportunity and affirmative action. We welcome applicants with disabilities or special needs and encourage early communication regarding accommodation requirements.
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