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Database Administrator (MySQL)

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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.

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