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Sr. Engineer, Software - MongoDB T500-22793

Job in 500001, Hyderabad, Telangana, India
Listing for: TMUS Global Solutions
Full Time position
Listed on 2026-02-18
Job specializations:
  • IT/Tech
    Cloud Computing, Data Engineer
Job Description & How to Apply Below
Position: Sr. Engineer, Software - MongoDB [T500-22793]
About T-Mobile:

T-Mobile US, Inc. (NASDAQ: TMUS), headquartered in Bellevue, Washington, is America’s supercharged Un-carrier, connecting millions through its strong nationwide network and flagship brands, T-Mobile and Metro by T-Mobile. Customers benefit from an unmatched combination of value, quality, and exceptional service experience.

About TMUS Global Solutions:

TMUS Global Solutions is a world-class technology powerhouse accelerating the company’s global digital transformation. With a culture built on growth, inclusivity, and global collaboration, the teams here drive innovation at scale, powered by bold thinking.

TMUS India Private Limited operates as TMUS Global Solutions.

About the Role:

The Database Engineer plays a key role in designing, implementing, and maintaining robust database systems that support T-Mobile’s 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 Dev Ops 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 You’ll 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., Mongo

DB Atlas. AWS: Document

DB, Azure: Mongo

DB, 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 Dev Ops teams to deliver integrated data solutions.
- Troubleshooting and root cause analysis of complex database issues.
- Participate in 24/7 on call Support.

What You’ll Bring :

- Bachelor’s or master’s degree in computer science, Information Systems, or a related technical field.
- 4+ years of experience in database engineering, development, or administration.
- Expertise in Mongo

DB 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:
Mongo

DB Enterprise, Document DB
- Database Development:
Mongo

DB, 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.
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