- Location
- Gurugram, Haryāna, India
- Workplace
- Onsite
- Type
- Full-time
- Department
- Information Technology
- Seniority
- Mid
- Source
- Recruitee
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.