Database Administrator (MySQL)

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.