Lead Engineer- Platform (SQL/NoSQL, Search & Distributed Databases)

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7+ Years of overall experience
Software engineering experience, with demonstrated success in distributed systems or large-scale backend services
Extensive experience configuring, tuning, and operating large-scale managed databases handling TB–PB data volumes and billions of records.
Hands-on experience designing, optimizing, and scaling systems using modern databases such as ElasticSearch, Firestore, MongoDB, ClickHouse, and Redis
Proven mastery of any programming language with clean, testable codeProven ability to lead technically, navigate ambiguity, and deliver impactful results
Deep understanding of distributed-systems principles (CAP, consistency, consensus) and observability best practices.
Experiencewith CI/CD, containers (Docker/Kubernetes), and IaC (Terraform/Ansible) for database automation.
Solid grasp of SQL fundamentals; prior work with relational engines is a plus.

Design systems that efficiently interact with large-scale data using ElasticSearch, Google Firestore, MongoDB Atlas, ClickHouse, and Redis.
Design, configure, and optimize large-scale clusters of SQL (Postgres), MongoDB, ElasticSearch, and ClickHouse (TB–PB scale, billions of records).Contribute to high-performance service architecture capable of handling terabytes of data.
Instrument, benchmark, and tune query paths, indexing, memory/CPU usage, and storage layouts to ensure sub-second latencies.
Develop, and maintain reusable frameworks, SDKs, and core platform services in programming languages like Node.js and GoLang.
Lead design reviews, establish best practices, and mentor senior engineers to raise technical standards across the organization.
Collaborate with product and platform teams to embed best-practice data-access patterns, enforce SLAs, and review overall system design.
Partner with multiple teams to deliver reliable, secure, and maintainable platform capabilities.
Establish governance for backup/restore, disaster recovery, security, and compliance across AWS, GCP, and Azure environments.

Leadership of multi-region or hybrid-cloud data platforms.
Expertise in ClickHouse-based real-time analytics or ElasticSearch-powered search at scale.
Hands-on with streaming or ETL frameworks (PubSub, Kafka, Pulsar, Spark, Flink).

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