We are looking for a highly skilled Senior Database Administrator (DBA) with strong expertise in PostgreSQL and experience across relational and NoSQL databases. This role involves designing, implementing, and maintaining scalable, high-performing, and secure database solutions in cloud and hybrid environments (primarily AWS). The ideal candidate will be responsible for ensuring data availability, performance, and reliability while driving database automation and optimization initiatives.

Key Responsibilities :

- Database Design & Architecture : Collaborate with engineering teams to design scalable, secure, and efficient database solutions on AWS and on-prem.

- Administration & Maintenance : Install, configure, upgrade, and maintain PostgreSQL, Cassandra, MongoDB, Snowflake, and Elasticsearch instances.

- Performance Optimization : Monitor and fine-tune database performance (query tuning, indexing strategies, connection pooling, caching, etc.).

- High Availability & DR : Ensure data integrity, availability, and disaster recovery through backups, replication, clustering, and failover strategies.

- Automation & Monitoring : Develop monitoring solutions, implement alert systems, and build tools to proactively identify and resolve database health issues.

- Capacity Planning & Scaling : Support application teams in schema design, workload analysis, and long-term capacity planning.

- Documentation & Governance : Maintain playbooks, SOPs, incident response procedures, and best practices for compliance and audit readiness.

- Continuous Improvement : Stay updated on emerging database technologies, recommend improvements, and drive adoption of modern data management practices.

Required Qualifications :

Education : Bachelors degree in Computer Science, Information Technology, or a related field.

Technical Expertise :

- 7+ years of experience as a DBA with a strong focus on PostgreSQL administration.

- Hands-on experience with both relational (PostgreSQL, MySQL, Oracle) and NoSQL databases (Cassandra, MongoDB).

- Strong knowledge of Linux system administration, shell environment, and database internals.

- Expertise in performance tuning, query optimization, indexing strategies, and database troubleshooting.

- Experience implementing replication, partitioning, sharding, and clustering solutions.

- Programming & Scripting : Basic proficiency in Python, Bash, Ruby, or similar scripting languages for automation.

Soft Skills : Strong problem-solving ability, analytical thinking, and excellent communication skills for cross-functional collaboration.

Preferred Skills (Good to Have) :

- Experience with AWS database services (RDS, Aurora, DynamoDB).

- Knowledge of data warehouses such as Snowflake, Redshift, or BigQuery.

- Familiarity with Infrastructure-as-Code tools (Terraform, Ansible, CloudFormation).

- Exposure to Docker, Kubernetes, and container orchestration.

- Knowledge of CI/CD pipelines and DevOps practices for database automation.