Database Administrator

This role is for one of our clients

Industry: Software Development

Seniority level: Associate level

Experience: 3+ yrs

Location: Chennai, Tamil Nadu, India

Job Type: Full-time

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\n₹14,00,000 - ₹20,00,000 a year

We are looking for a strong Database Engineer with deep expertise in PostgreSQL, distributed systems, database internals, and production database operations. The role focuses on designing, scaling, automating, and optimizing database infrastructure for high-throughput, cloud-native environments.

The ideal candidate will have a strong understanding of storage engines, replication, transactions, concurrency, reliability, performance optimization, and data consistency, combined with strong Python skills for building production-grade automation and operational tooling.

Requirements

Key Responsibilities

• Design, operate, optimize, and scale production database systems across SQL and NoSQL environments.

• Debug and prevent complex concurrency issues, including deadlocks, lock contention, starvation, and long-running transactions.

• Advise application teams on safe database access patterns, including idempotency, retries, backoff strategies, and concurrency controls.

• Develop a deep understanding of database storage and replication internals, including B-trees, LSM structures, page layouts, WAL/redo/undo, checkpoints, compaction, MVCC, and storage engines.

• Design and implement database backup, restore, upgrade, migration, and disaster recovery strategies.

• Analyze query planner behavior, statistics, cardinality estimation, and query performance bottlenecks.

• Develop effective indexing strategies while considering write amplification, storage, and performance trade-offs.

• Build database reliability practices, preventative controls, and automated remediation mechanisms.

• Implement monitoring and alerting for replication lag, lock contention, cache health, slow queries, storage growth, and failover events.

• Lead database incident response, root-cause analysis, and post-incident reviews.

• Build production-grade Python automation and tooling for health checks, failover validation, backup/restore verification, consistency checks, and diagnostics.

• Automate online schema changes, safe rollout and rollback workflows, and operational guardrails.

• Develop automation for performance diagnostics, including query-plan capture and workload analysis.

• Build scalable tooling capable of efficiently processing millions of records or events, with strong attention to time and space complexity.

• Guide data-modeling decisions across relational, document, and key-value databases.

• Evaluate normalization vs. denormalization, secondary indexing, partitioning, hot-spot mitigation, throughput planning, TTL, archiving, and data lifecycle policies.

• Establish standards for data correctness, durability, operational safety, access controls, auditing, and production change management.

• Partner with application and infrastructure teams on database architecture, migration strategies, and operational best practices.

• Contribute to multi-region architectures, failover strategies, and high-availability database solutions where required.

• Mentor engineers and promote strong database engineering practices across the organization.

What Makes You a Great Fit

• 3+ years of relevant engineering experience with strong hands-on database engineering responsibilities.

• Deep expertise in PostgreSQL and strong understanding of at least one additional SQL or NoSQL database such as MySQL, MongoDB, or MariaDB.

• Strong foundation in distributed systems, including CAP, replication, consistency, failure handling, and consensus fundamentals.

• Deep understanding of transactions, isolation levels, MVCC, locking, concurrency, storage engines, and database internals.

• Strong proficiency in Python, with experience building production-grade automation, diagnostics, and operational tooling.

• Hands-on experience operating, troubleshooting, tuning, and scaling production databases.

• Strong debugging and performance-analysis skills, with the ability to reason from metrics, logs, traces, and low-level system behavior.

• Good understanding of Linux and common command-line tools.

• Ability to evaluate technical trade-offs across latency, consistency, durability, throughput, cost, and performance.

• Strong first-principles approach to understanding database behavior under high load and failure conditions.

• Experience designing reliable automation, safe database migrations, and operational guardrails.

• Strong communication and collaboration skills, with the ability to influence application and infrastructure teams.

• Demonstrated ownership, technical judgment, and ability to mentor other engineers.

Nice to Have:

• Experience with multi-region databases, global tables, and cross-region failover.

• Familiarity with AWS, production support, and on-call environments.

• Understanding of networking concepts such as VPCs, subnets, security groups, CIDR, and peering.

• Experience with Kubernetes or self-managed database infrastructure.

• Experience building internal database platforms, self-service tooling, policy-as-code, or safe migration frameworks.

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