Phenom is an Applied AI company transforming how people discover and choose work. Our Intelligent Talent Experience platform helps global enterprises attract, engage, hire, and develop talent through AI-driven automation and deeply personalized experiences.

Our mission is to help a billion people find the right work.

As we continue to scale our AI-powered platform globally, we're looking for passionate engineers who thrive in highly available, large-scale cloud environments and enjoy solving complex database challenges.

We are seeking a highly skilled and hands-on Senior Database Administrator (DBA III) to manage and optimize our mission-critical database platforms. The ideal candidate will have deep expertise in Amazon Aurora PostgreSQL and strong operational knowledge of modern distributed databases including MongoDB, Cassandra, ClickHouse, and Elasticsearch.

You will play a critical role in ensuring database reliability, performance, security, scalability, and operational excellence across Phenom's cloud-native infrastructure. This position requires strong troubleshooting skills, automation mindset, and experience supporting large-scale production environments.

Aurora PostgreSQL Administration & Performance

Own the administration, availability, performance, and scalability of Aurora PostgreSQL clusters.

Perform advanced performance tuning using:

AWS Performance Insights

Query execution plan analysis and optimization

Diagnose and resolve production performance bottlenecks.

Establish and maintain database performance baselines and capacity plans.

Support HA/DR operations for business-critical databases.

Execute Aurora PostgreSQL version upgrades using Blue/Green deployment strategies.

Backup, Recovery & Data Protection

Manage backup and recovery operations for large-scale Aurora environments (10TB+ clusters).

Recovery testing and validation





Database Security & Governance

Implement and maintain database security best practices.

IAM Database Authentication

Monitoring & Observability

Build and maintain comprehensive monitoring solutions using:

AWS CloudWatch

Create proactive alerting and dashboards for database health, performance, replication, and capacity.

Lead root cause analysis and post-incident reviews.

Partner with Platform and SRE teams to automate database operations.

Contribute to configuration management and operational automation through SaltStack and related tooling.

Multi-Database Ecosystem Support

MongoDB

Participate in architecture reviews and database technology evaluations.

Experience migrating MongoDB workloads to PostgreSQL.

AWS DMS

Change Data Capture (CDC) architectures

Experience designing relational schemas from document-based data models.

Experience supporting AI/ML or analytics-heavy workloads.

5+ years of database administration experience.

- Deep expertise in Amazon Aurora PostgreSQL.
- Strong understanding of PostgreSQL internals and performance tuning.
- Experience managing production databases at multi-terabyte scale.
- Hands-on experience with database security, access controls, and compliance requirements.
- Experience with monitoring and observability platforms.
- Robust Linux administration and troubleshooting skills.
- Experience working in AWS cloud environments.

MongoDB administration experience.

ClickHouse performance tuning experience.

SRE and DevOps-oriented operational mindset.

Build and operate large-scale, cloud-native database platforms powering millions of talent interactions.

Work alongside world-class engineering, platform, and AI teams.

Solve complex scalability, performance, and reliability challenges.

At Phenom, we celebrate diversity and are committed to creating an inclusive environment for all employees.

📌 Database + Analysis Manager (Secunderabad)
🏢 Phenom
📍 Secunderabad