The Database Engineer plays 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 solid 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 Open Telemetry

TMUS India Private Limited, operating as TMUS Global Solutions, has engaged ANSR, Inc. ("ANSR") as its exclusive recruiting partner. That meansthat any communications regarding TMUS Global Solutions opportunities or employment offers will be issued only through ANSR and the 1Recruit platform. If you receive a communication or offer from another individual or entity, please notify TMUS Global Solutions immediately.

TMUS Global Solutions willnever seek any payment or other compensation during the hiring process or request sensitive personal data (such as bank details or government-issued identification numbers) prior to a candidates acceptance of a formal offer.

📌 Sr Engineer, Software (Hyderabad)
🏢 TMUS Global Solutions
📍 Hyderabad