Sr. Software Engineer

Responsibilities:

• Design, implement, and provide 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 databases.
• 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.

Requirements:

• 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 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 of 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
• Experience in data modeling or data modeling, 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.