Lead - Database Administrator: 797

Netcore; Mumbai; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

A technology solutions provider based in Mumbai seeks a Database Engineer to oversee critical database components. The ideal candidate will have over 7 years of experience with relational and NoSQL databases, focusing on performance, security, and CI/CD integration. Key skills include proficiency in PostgreSQL, MySQL, and MongoDB, along with scripting in Python and Bash. The role also demands knowledge in automation, monitoring tools, and a collaborative spirit within cross-functional teams.

Qualifications

• 7+ years of production experience managing relational and NoSQL databases in cloud-native environments.
• Deep hands-on experience in performance tuning, query optimization, and troubleshooting live systems.
• Experience in implementing monitoring and alerting for distributed systems using Grafana and Prometheus.

Responsibilities

• Own and manage critical components of database infrastructure.
• Drive implementation of best practices in schema design, indexing, and database tuning.
• Collaborate with security teams for vulnerability assessments and hardening.

Skills

PostgreSQL

MySQL

MongoDB

Python

Bash

Grafana

Prometheus

Cloud services (AWS, GCP, Azure)

Tools

Terraform

Liquibase

Flyway

Job description

Responsibilities

• Own and manage critical components of the database infrastructure across production and non-production environments.


• Ensure performance, availability, scalability, and reliability of databases including PostgreSQL, MySQL, and MongoDB.


• Drive implementation of best practices in schema design, indexing, query optimization, and database tuning.


• Take initiative in root cause analysis and resolution of complex performance and availability issues.


• Implement and maintain backup, recovery, and disaster recovery procedures; contribute to testing and continuous improvement of these systems.


• Ensure system health through robust monitoring, alerting, and observability using tools such as Prometheus, Grafana, and CloudWatch.


• Implement and improve automation for provisioning, scaling, maintenance, and monitoring tasks using scripting (e.g., Python, Bash).

Database Security & Compliance

• Enforce database security best practices, including encryption at-rest and in-transit, IAM/RBAC, and audit logging.


• Support data governance and compliance efforts related to SOC 2, ISO 27001, or other regulatory standards.


• Collaborate with the security team on regular vulnerability assessments and hardening initiatives.


• Partner with DevOps and Engineering teams to integrate database operations into CI/CD pipelines using tools like Liquibase, Flyway, or custom scripting.


• Participate in infrastructure-as-code workflows (e.g., Terraform) for consistent and scalable DB provisioning and configuration.


• Proactively contribute to cross-functional planning, deployments, and system design sessions with engineering and product teams.

Required Skills & Experience

• 7+ years of production experience managing relational and NoSQL databases in cloud-native environments (AWS, GCP, or Azure).


• Proficiency in:


• Relational Databases: PostgreSQL and/or MySQL


• NoSQL Databases: MongoDB (exposure to Cassandra or DynamoDB is a plus)


• Deep hands-on experience in performance tuning, query optimization, and troubleshooting live systems.


• Strong scripting ability (e.g., Python, Bash) for automation of operational tasks.


• Experience in implementing monitoring and alerting for distributed systems using Grafana, Prometheus, or equivalent cloud-native tools.


• Understanding of security and compliance principles and how they apply to data systems.


• Ability to operate with autonomy while collaborating in fast-paced, cross-functional teams.


• Strong analytical, problem-solving, and communication skills.

Nice to Have (Bonus)

• Experience with Infrastructure as Code tools (Terraform, Pulumi, etc.) for managing database infrastructure.


• Familiarity with Kafka, Airflow, or other data pipeline tools.


• Experience working in multi-region or multi-cloud environments with high availability requirements.


• Exposure to analytics databases (e.g., Druid, ClickHouse, BigQuery, Vertica Db) or search platforms like Elasticsearch.


• Participation in on-call rotations and contribution to incident response processes.