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.
