Database Administrator

𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀

𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟭𝟰𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟮𝟬𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟭𝟰-𝟮𝟬 𝗟𝗣𝗔)

Experience: 3+ yrs

Location: Chennai, Tamil Nadu, India

Job Type: Full-time

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