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- Tasks: Design and implement scalable MongoDB data models for innovative finance platforms.
- Company: Join a pioneering tech company driving AI innovation and automation.
- Benefits: Competitive salary, 20 days leave, ongoing training, and clear career progression.
- Other info: Inclusive culture with exciting long-term opportunities in a dynamic environment.
- Why this job: Be part of a collaborative team shaping the future of technology.
- Qualifications: 8-10 years in Database Engineering with strong MongoDB expertise.
The predicted salary is between 60000 - 80000 £ per year.
We provide specialised software development and technical support, excelling in delivering tailored solutions and comprehensive support services. Our unique ability to bridge technical intricacies with business needs positions us as a key driver of the group’s technological strategy.
Your Role: We are building a scalable Vehicle Finance Claims platform involving OCR ingestion, multi-stage workflows, and external integrations. We are looking for a hands-on MongoDB expert with deep experience (8-10 years) in database design, performance tuning, and cluster management within AWS cloud environments. This role requires someone who has worked extensively on production-grade MongoDB clusters, ensuring high availability, performance, and resilience in distributed systems.
Key Responsibilities
- MongoDB Architecture & Engineering: Design and implement scalable MongoDB data models (schema design) for OCR ingestion pipelines, claims lifecycle systems, and integration hub workflows. Build and manage MongoDB clusters (replica sets & sharded clusters).
- Performance Tuning & Optimization: Perform advanced query optimisation and indexing strategies. Proactively identify and resolve performance bottlenecks.
- Cluster Management & High Availability: Configure and manage replica sets (primary, secondary) and sharding (chunk splitting, balancing, migrations). Ensure high availability across distributed environments and handle failover, replication lag, and cluster health monitoring.
- Backup, Recovery & Data Migration: Implement backup and recovery strategies, including point-in-time recovery where applicable. Ensure data integrity during schema evolution and migrations.
- AWS & Cloud Integration: Deploy and manage MongoDB on MongoDB Atlas. Design systems for auto-scaling, disaster recovery, and cost optimisation.
- Monitoring, Tools & Automation: Use tools such as MongoDB Ops Manager, Cloud Manager, Atlas, MongoDB Compass, and other monitoring tools. Implement monitoring, alerting, and observability.
Required Skills & Experience: 8-10 years of experience in Database Engineering. Strong hands-on expertise in MongoDB (core requirement). Proven experience in sharding, replication, cluster management, performance tuning, query optimisation, indexing strategies, backup & recovery, data migration, troubleshooting production issues, AWS cloud platform, and NoSQL data modelling.
Nice to Have: Experience with MySQL, SQL Server, Cassandra (multi-database exposure). Exposure to Oracle GoldenGate or similar tools. Knowledge of Linux/Unix environments.
Benefits: Competitive salary. 20 days annual leave + bank holidays. Hands-on experience in a tech-enabled, data-driven operations team. Exposure to automation, AI-supported workflows, and modern systems. Ongoing training and development. Clear progression into senior operations roles.
Why Join Us: Career Growth: You will grow your career while being part of a company that is pioneering AI-driven innovation and automation across multiple industries. Supportive Culture: You'll be part of a collaborative, high-performance team where knowledge-sharing and mentoring are part of our DNA. We offer a fun, inclusive, and fast-paced environment where your ideas are heard and encouraged. Modern Practice: Work with advanced AI-powered tools, streamlined workflows, and full administrative support. Strategic Expansion: With ambitious growth plans and a national footprint, we offer exciting long-term opportunities in a dynamic firm. Equality, Diversity & Inclusion: We are an equal opportunities employer and are committed to creating an inclusive and supportive working environment. Applications are welcomed from all suitably qualified individuals.
Ready to redefine your career? If you are looking to grow your career and be part of a fast-moving, technology-led business, we would love to hear from you. Share your CV with us!
Senior MongoDB Engineer in Wolverhampton employer: Tanantech
Contact Detail:
Tanantech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior MongoDB Engineer in Wolverhampton
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech world, especially those who work with MongoDB or in similar roles. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your MongoDB projects, performance tuning successes, and any cool integrations you've done. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common MongoDB scenarios and challenges. Think about how you've tackled performance bottlenecks or managed clusters in the past, and be ready to share those stories!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our awesome team!
We think you need these skills to ace Senior MongoDB Engineer in Wolverhampton
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your MongoDB expertise and relevant experience. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements in database design and performance tuning!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for this role. Share your passion for MongoDB and how your background can help us build that scalable Vehicle Finance Claims platform. Keep it engaging and personal!
Showcase Your Problem-Solving Skills: In your application, highlight specific examples where you've tackled performance bottlenecks or managed cluster issues. We love seeing how you approach challenges, especially in high-availability environments!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Tanantech
✨Know Your MongoDB Inside Out
Make sure you brush up on your MongoDB skills before the interview. Be ready to discuss your experience with database design, performance tuning, and cluster management. Prepare specific examples of how you've tackled challenges in production-grade MongoDB clusters.
✨Showcase Your Problem-Solving Skills
During the interview, highlight your ability to identify and resolve performance bottlenecks. Share stories about how you've optimised queries or managed high availability in distributed environments. This will demonstrate your hands-on expertise and critical thinking.
✨Familiarise Yourself with AWS Integration
Since this role involves deploying MongoDB on AWS, make sure you understand cloud integration concepts. Be prepared to discuss your experience with MongoDB Atlas and any strategies you've implemented for auto-scaling and disaster recovery.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's current projects and future plans. Inquire about their approach to AI-driven innovation and how they support career growth. This shows your genuine interest in the role and helps you assess if it's the right fit for you.