Apr 2019 – Present · 7 yrs 2 mos

• Senior Backend Engineer with 6+ years of experience designing, owning, and scaling distributed backend systems serving production-grade web and mobile platforms across SaaS, e-commerce, and fitness domains.
• Led end-to-end architecture and delivery of cloud-native backend systems, driving decisions around scalability, availability, fault tolerance, and cost efficiency in production environments.
• Owned backend system design and production infrastructure on AWS, leveraging Lambda, API Gateway, EC2, S3, DynamoDB, and event-driven architectures to support scalable workloads.
• Reduced infrastructure and operational costs by optimizing cloud resource utilization, redesigning service flows, and implementing caching and performance strategies at system level.
• Improved API latency and system throughput significantly through database schema optimization, indexing strategies, query optimization, and Redis-based distributed caching.
• Designed and operated microservices-based architectures with focus on decoupling, scalability, observability, and long-term maintainability.
• Collaborated with large enterprise clients and external engineering teams to integrate backend systems into high-scale production environments with strict reliability requirements.
• Led technical decision-making, architecture reviews, and system design discussions across teams, ensuring production readiness and engineering consistency.
• Mentored and upskilled engineers in backend architecture, distributed systems design, clean code practices, and cloud-native development patterns.
• Built secure, scalable authentication and authorization systems using JWT, OAuth2, and role-based access control for enterprise applications.

Apr 2019 – Present · 7 yrs 2 mos

• Owned backend architecture across 3 production SaaS platforms — handled service boundary decisions, data ownership, and infrastructure layout; the person teams came to when something scaled badly or broke in production. Designed multi-region AWS setup (us-east-1, ap-south-1) with active-active failover — took on the added operational overhead deliberately to prevent single-region downtime; held 99.97% uptime across 2M+ daily transactions. Traced a production latency problem to N+1 queries and connection exhaustion under load — introduced Redis caching and connection pooling rather than scaling the DB; cut response times by 65% for 100,000+ users with no added infra cost. Replaced synchronous inter-service calls with Kafka-based async pipelines — decoupled ingestion from processing so each consumer could scale independently; reduced cascading failures and improved throughput for 50,000+ concurrent users. Led monolith-to-microservices decomposition — evaluated distributed transaction complexity, data ownership trade-offs, and operational overhead before committing; resulted in 40% cost reduction and daily deployments vs bi-weekly. Owned the full AWS infrastructure setup — VPC layout, auto-scaling policies, load balancer config, and cross-region replication; treated infra decisions as architectural ones, not just deployment tasks. Worked with the CTO on a multi-year backend roadmap — brought trade-off analyses to the table, pushed back on certain build-vs-buy calls, and got backend standards adopted across teams outside my direct ownership. Rolled out backend standards across multiple teams — API contracts, structured logging, and fault-tolerance patterns; mentored 5 engineers directly, with 2 moving into senior roles within 18 months.