About the Role:
TheDatabase Engineerplays a key role in designing, implementing, and maintaining robust database systems that support T-Mobiles large-scale applications and analytics. This position drives the modernization of database platforms, adoption of cloud-native data technologies, and continuous improvement of performance, reliability, and automation across mission-critical systems.
You will collaborate with software engineers, cloud architects, and DevOps teams to deliver secure, scalable, and high-performance database solutions that align with business and technical objectives. The role combines strong database engineering expertise with strategic thinking and hands-on technical execution.
What Youll Do:
- Design, implement and provide database enterprise-grade database architectures for transactional and analytical workloads.
- Support / Automate database provisioning, schema management, patching, config management and upgrades through CI/CD pipelines for both, on-prem and Cloud native database.
- Support cloud database platforms (e.g., MongoDB Atlas. AWS: DocumentDB, Azure: MongoDB, Managed instances).
- Implement observability, monitoring, and alerting for database performance and reliability.
- Ensure compliance with data governance, security, and backup/recovery standards.
- Partner with application, infrastructure, and DevOps teams to deliver integrated data solutions.
- Troubleshooting and root cause analysis of complex database issues.
- Participate in 24/7 on call Support.
What Youll Bring:
- Bachelors or masters degree in computer science, Information Systems, or a related technical field.
- 4+ years of experience in database engineering, development, or administration.
- Expertise in MongoDB full Lifecycle support.
- Strong understanding of data modeling, indexing, replication, sharding, and partitioning.
- Hands-on experience with cloud database services (AWS, Azure).
- Working knowledge in scripting and automation using Python, bash and Ansible.
- Familiarity with containerization (Docker/Kubernetes).
- Proven ability to tune queries and design performance, scalable data architectures.
- Excellent analytical, problem-solving, and communication skills.
- Database Administration: MongoDB Enterprise, DocumentDB
- Database Development: MongoDB, RDBMS
- Data Modeling or Data Model.
- Python and bash.
Preferred Skills:
- Experience with Infrastructure as Code(IaC) practices and tools.
- Exposure to observability platforms such as Prometheus, Grafana, Splunk, and OpenTelemetry.
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