Role

Work as a database engineer supporting Redis VectorDB technology projects. The ideal candidate will have expertise in managing and optimizing Redis Enterprise. This role involves working with modern containerized environments, managing deployments with OpenShift, and implementing CI/CD pipelines using ArgoCD. Additionally, the candidate will contribute to Retrieval-Augmented Generation (RAG) ingestion workflows for AI/ML applications.

Person Specification

Specification Detail Essential/Desirable

Education Bachelors or higher in Computer Science Essential Relevant certifications Desirable

Experience 6+ years in large organizations Essential Banking background Desirable

Knowledge and

Skills Excellent knowledge in Redis database administration Essential Excellent knowledge in High Availability (HA) and Disaster Recovery (DR) options for Redis Enterprise Essential Good knowledge in Redis Enterprise deployment on OpenShift Essential Good Knowledge in Redis Active-Active Database, Auto tiering/FlexDB Essential Develop and optimize RAG ingestion pipelines for AI/ML applications. Essential Design, implement, and manage Redis Enterprise and RedisVL solutions for vector database use cases. Essential Good knowledge in Redis modules Redis Search and Vector Index management Essential Monitor and troubleshoot Redis database performance and scalability issues. Essential Collaborate with cross-functional teams to integrate Redis solutions into broader system architectures. Essential Excellent knowledge in Security features like Auditing, TLS, etc., Essential Good knowledge of Agile working practices Essential Good knowledge of modern automation technologies (e.g., Ansible, Jenkins, Terraform and ArgoCD) Desirable Good knowledge of scripting (Bash, Python) Desirable Good knowledge of other databases Desirable

Behavioral

Competencies Ability to work under pressure Essential Professional communication Essential Ability to self-manage Essential Ability to work on multiple projects Essential