Database Reliability Engineer

Location: Ford

Database Reliability Engineer (MongoDB, PostgreSQL , data platform AI, Kubernetes, Docker, Python, Ansible, Terraform) This is a hybrid role Min of 6 days per month in the office Offices are based in London, Lichfield, Surbiton, Bristol, Stirling, Warrington, and Basildon. Candidates can be based in either one of these locations. Benefits include: discretionary bonus company share scheme 3:6 pension contribution family healthcare life assurance professional development An excellent opportunity has arisen for a Database Reliability Engineer to join a leading financial services and healthcare technology company based on revenue, My client has over 27,000 employees in 35 countries.

Some 20,000 financial services and healthcare organizations, from the world's largest companies to small and mid-market firms, rely on my clients expertise, scale, and technology. My client are leading the way.

They continue to look for today's and tomorrows brightest talent, those who embody a spirit to improve not only their lives, but those around them. From college students to seasoned and experienced professionals, we encourage you to apply. My client prides itself on hiring diverse, honest, dynamic individuals who value collaboration, accountability, and innovation, to name a few. The Opportunity
-Database Reliability Engineer (MongoDB, PostgreSQL , data platform AI, Kubernetes, Docker, Python, Ansible, Terraform) We are seeking a highly skilled Senior Database Reliability Engineer with proven expertise working in an operational environment using MongoDB and PostgreSQL. I deally we seek A DBA background in PostgreSQL and MongoDB, in addition the successful candidate must have site reliability experience and has built helm charts using Kubernetes This role requires a database reliability expert who can thrive in a dynamic environment, supporting and enhancing highly available, highly reliable database deployments, ensuring optimal performance, and mentoring junior engineers to support our applications.

This position will play a vital role in ensuring my clients containerization initiatives succeed and support both MongoDB and PostgreSQL deployments. The ideal candidate will have experience in containerised MongoDB and PostgreSQL deployment under Kubernetes and Docker, with substantial experience in automating reliable deployments, building and maintaining resilience within the database platform, secure database operations methodologies, observability and performance management.

We are also exploring other No

SQL database engines to support our production strength applications, so experience with diverse database systems is a plus. What You Will Get To Do
-Database Reliability Engineer (MongoDB, PostgreSQL , data platform AI, Kubernetes, Docker, Python, Ansible, Terraform) Ensure that the production and lower environments are deployed, configured, maintained, and monitored for reliability and resilience. Ensure the environments are fully performant in support of the application Implement industry best practices for database performance, security, backup, disaster recovery and secure data removal/transfer. Maintain vendor relationships in support of the environments Provide technical leadership and an escalation point for the team of junior engineers Design and maintain CI/CD pipelines specific to database operations, with an emphasis on automation and scalability.

Collaborate with private cloud, Dev Ops and development teams in all aspects of deployment and maintenance Mentor junior engineers and act as a technical advisor to cross-functional teams. What You Will Bring
-Database Reliability Engineer (MongoDB, PostgreSQL , data platform AI (Artificial Intelligence), Kubernetes, Docker, Python, Ansible, Terraform) 5 years of hands-on experience with

MongoDBandPostgreSQLinalarge-scale environment. Expertise with Cloud-based database services. Experience with a data platform inAI(Artificial Intelligence) Expertise with Kubernetes and Dockerfor containerised applications. Advanced skillsininfrastructurecodingandautomationusing

Python,Ansible,Terraform,and GHA (Git Hub Action).

Experience with performance tuning, optimisation, and scalability of databases. Strong understanding ofdatabaseobservability,security,backups, and disaster recovery strategies. Excellent leadership, problem-solving, and analytical skills. Ability to work in a collaborative environment and influence cross-functional teams. Preferred:
Proficiency in Analyticsdatabasetechnologies like

Click

House,Star Rocks,etc. Familiarity withCI/CD tools like

ArgoCD/Jenkins for database operations. Strong understanding of distributed database architecture.