Sr. Engineer, Software-MongoDB

About the Role:

TheDatabase 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 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.

Preferred Skills:

• Experience with Infrastructure as Code(IaC) practices and tools.

Exposure to observability platforms such as Prometheus, Grafana, Splunk, and OpenTelemetry