Job Details

Lead Database Administrator (MySQL)

Gurugram, Haryana, India


Company

Lenskart

Job Description

The Role We are looking for a high-caliber DataOps / Database Reliability Engineer who brings strong engineering fundamentals and a deep sense of ownership. You will design, build, and operate MySQL, MongoDB, MSSQL, and BigQuery platforms that enable product teams to ship quickly and safely - at scale. This role is hands-on, impact-driven, and aligned with top-tier engineering standards.

What You Will Do

Database Architecture & Reliability

? Architect and operate highly available MySQL (InnoDB Cluster, Group Replication), MongoDB (Replica Sets, Sharded

Clusters), MSSQL, and BigQuery environments.

? Lead migrations (version upgrades, cloud transitions to AWS RDS/Aurora, MongoDB Atlas, BigQuery).

? Define and enforce standards, schema design best practices, and governance policies.

? Drive SLIs, SLOs, and error budgets for mission-critical data services.

Performance Engineering

? Optimize queries, indexes, and workloads using advanced profiling tools across MySQL, MongoDB, MSSQL, and BigQuery.

? Tune InnoDB internals, buffer pools, shard keys, working sets, and query execution plans.

? Resolve bottlenecks across CPU, memory, and I/O.

? Implement advanced monitoring and alerting (PMM, Ops Manager, Grafana, Datadog).

Operational Excellence & Automation

? Automate backup/recovery (XtraBackup, mysqldump/mysqlpump, Ops Manager, filesystem snapshots, MSSQL native tools).

? Champion Infrastructure-as-Code (Terraform, Ansible, Kubernetes Operators).

? Implement Change Data Capture (CDC) pipelines using Debezium and integrate with downstream systems.

? Enforce strong security: authentication, authorization, encryption, auditing.

? Conduct DR drills, capacity planning, and maintain clear documentation/runbooks.

? Continuously reduce operational toil through automation and engineering solutions.

Collaboration & Incident Response

? Partner with DevOps/SRE teams to integrate DB ops into CI/CD pipelines.

? Mentor engineers on database best practices.

? Participate in on-call rotations, lead incident response, and write clear, blameless RCAs.

? Work closely with product and platform teams to influence system design through the lens of scale, resilience, and cost

efficiency.

What We’re Looking For

Core Engineering

? Strong foundations in Linux/Unix, networking (DNS, TCP/IP), and distributed systems.

? Proficiency in Python, Bash, or JavaScript for automation and tooling.

? Clean Git practices and strong software engineering discipline.

Databases

? Deep expertise in MySQL and MongoDB.

? Proven experience with HA/DR setups, replication, and performance tuning.

? Backup/recovery expertise with XtraBackup, mongodump, Ops Manager, MSSQL native tools.

? Working knowledge of PostgreSQL, Redis, Elasticsearch, Cassandra, and BigQuery.

? Experience building and operating CDC pipelines with Debezium.

Infrastructure & Tooling

? Infrastructure as Code using Terraform (required).

? Configuration and automation using Ansible/Chef (preferred).

? CI/CD integration with Jenkins, GitLab CI, GitHub Actions.

Observability & Reliability

? Metrics and alerting: PMM, Prometheus, Grafana, Alertmanager.

? Tracing/APM: Datadog, New Relic, OpenTelemetry.

? Incident management experience (PagerDuty or equivalent).

Nice to Have

? Experience with managed database services (AWS RDS/Aurora, MongoDB Atlas, BigQuery).

? Exposure to DevSecOps and cloud security.

? Experience operating high-traffic, consumer-facing systems.

? Relevant certifications (MongoDB Certified DBA, Oracle MySQL DBA, MSSQL certifications).

? Strong written communication (design docs, RFCs, runbooks).

What Success Looks Like at Lenskart

? Databases that are reliable, scalable, and boring in production.

? Faster delivery with fewer incidents.

? Strong developer trust in the data platform.

? Systems that scale seamlessly with business growth.

Why Lenskart

? Real-world scale with tangible customer impact.

? Strong engineering ownership and autonomy.

? Opportunity to shape data platforms used across the company.

? A culture that values craft, clarity, and engineering excellence.