Engineering Manager- Database Platform
Team: Infrastructure
Location: Bangalore, Karnataka
Commitment: Full Time Employee
Workplace Type: onsite
What You Will Do
- Lead and grow a team of engineers building Meesho’s Database Platform
- Own the platform roadmap for database provisioning, scaling, upgrades, client side interaction with DBs, observability, automation and modernising the overall database landscape
- Drive the shift from manual operations to self-service and intent-based workflows
- Partner with product and engineering teams to understand requirements and translate them into platform capabilities
- Ensure high standards of reliability, availability, security, and performance across database systems
- Establish strong engineering practices around design reviews, code quality, and operational excellence
- Mentor engineers, conduct regular 1:1s, and build a culture of ownership and continuous learning
- Collaborate with SRE and Infra teams and leverage AI to reduce toil and improve incident resilience
What You Will Need
- 8+ years of experience in software engineering, with 1+ years in an engineering management role
- Strong background in platform, backend or infrastructure engineering
- Experience building backend systems in Java and/or Python
- Hands-on understanding of relational and/or NoSQL databases (MySQL, PostgreSQL, MongoDB, Redis, Scylla, Elastic, etc.)
- Solid grasp of distributed systems, scalability, high availability, and fault tolerance
- Familiarity with cloud infrastructure (AWS or GCP)
- Ability to drive execution via OKRs, sprint planning, and prioritisation
- Strong communication skills and the ability to work across multiple teams
Good to Have
- Experience with database automation, provisioning systems, or internal developer platforms
- Exposure to Kubernetes, Terraform, CI/CD, or Infrastructure as Code
- Experience working with high-scale, high-traffic production systems
- Interest in cost optimisation and performance engineering
- Prior experience working closely with SRE or Infra teams
- Exposure with data pipelines and messaging systems (kafka)
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