Rishi Jha
@rishijha1
Backend Engineer building fault-tolerant, event-driven microservices for high-scale SaaS platforms.
What I'm looking for
I’m a Backend Engineer with 3 years of experience building fault-tolerant, event-driven microservices for high-scale SaaS CRM platforms. I focus on system reliability, consistency, and performance in multi-tenant, multi-pod Kubernetes environments.
At NoBroker Technologies, I eliminated 100% of silent email delivery failures for 20+ agents by implementing a Transactional Outbox Pattern (MongoDB + Kafka) to address Google API 429 rate-limits. I also built DLQ with retry logic and added GridFS-based attachment support from scratch.
I architected Kafka-based ingestion and re-indexing to reduce duplicate ticket creation by 30%, processing 50K+ social events/month with end-to-end consistency across distributed microservices. I maintained 99%+ uptime for an Agent Deactivation & Migration Pipeline handling 10K+ active tickets/month using idempotent state transitions and transactional consistency.
I also stabilized high-volume OAuth refresh workflows across multi-pod Kubernetes deployments by designing a concurrency-safe API resilience framework with distributed locking, circuit breakers, and rate-limit-aware schedulers—supporting 5K+ third-party API calls/day. Earlier, at A.P. Moller - Maersk, I improved performance by 25% and reduced incident response time by 30% through real-time observability pipelines, and I reduced production defects by 20% by expanding the SCP Reporting Module with structured unit and integration testing.
Experience
Work history, roles, and key accomplishments
Backend Developer
NoBroker Technologies
Jun 2025 - Present (1 year 2 months)
Implemented a Transactional Outbox pattern (MongoDB + Kafka) to eliminate silent email delivery failures, including DLQ retry logic and GridFS-based attachment support. Built event-driven ingestion and OAuth concurrency safety using Kafka, Redis, Spring Batch, and distributed locking, improving uptime, reducing duplicates, and stabilizing third-party API calls across Kubernetes deployments.
Designed and implemented production-grade Spring Boot RESTful microservices, improving system performance by 25%. Reduced incident response time by 30% via real-time observability pipelines (Grafana alerts to Microsoft Teams) and lowered production defects by 20% by extending the SCP Reporting Module with structured unit and integration testing.
Education
Degrees, certifications, and relevant coursework
Institute of Technical Education and Research
Bachelor of Technology, Computer Science
2019 - 2023
Grade: 7.8 / 10.0 (CGPA)
Activities and societies: Resilient Kafka Order Processing System: fault-tolerant event pipeline with retries, DLQ, idempotent consumers, and partition-aware duplicate-safe ordered processing. DocPsycho (Open Source): AI-powered GitHub Action detecting Spring Boot API contract changes, generating Markdown doc patches, and opening documentation PRs.
Earned a Bachelor of Technology in Computer Science from the Institute of Technical Education and Research. Completed coursework and capstone-style projects including a fault-tolerant Kafka order processing pipeline and an AI-powered GitHub Action for automated documentation updates.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
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