Live opening · Posted 9 hours ago
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About the role
Description supplied by the original job listing.
We are seeking a highly skilled and experienced Java Engineering Manager to lead our UKBI engineering team. The ideal candidate will have a strong background in Java, microservices, serverless architecture, Docker, EKS and search technologies such as Solr or open search.
This role suits someone who has resolved high-priority search incidents in production and can work across a distributed, multi-cluster search estate. Day-to-day operations demand strong distributed search systems knowledge, hands-on comfort with that stack is essential.
What you'll do
Lead and mentor a team of engineers, providing guidance and support for their professional development.
Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs.
Stay up-to-date with the latest industry trends and technologies to drive innovation within the team.
Design, develop, and implement scalable software solutions using Java, microservices architecture, Docker, EKS, Search systems with Solr or Open Search, AWS services
Ensure high quality software delivery through best practices in coding, testing, and deployment.
Actively participate in sprints, contributing hands-on to software development and implementation.
Maintain unit tests and contribute to test automation to ensure software reliability and maintainability.
Manage risks and technical impediments, communicating with leadership to ensure project success.
Troubleshoot and resolve complex technical issues efficiently.
Provide technical guidance and support to team members as needed
Qualifications:
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
10 Years of total experience and 5+ years of experience in java, microservices, python, SQL and NoSQL database technologies
At least 4 years of experience in managing people
Drive AI adoption to improve engineering productivity, software quality, and operational efficiency.
Experience in search technologies such as Solr or Open Search
Expertise of AWS Services like EC2, EKS and Lambda.
Familiarity with DevOps practices and tools.
Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at all levels.
Certification in cloud platforms.
Experience building AI-enabled solutions.
Employment type
Full-time
Work arrangement
Hybrid
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