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Satyam SinghSS
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Satyam Singh

@satyamsingh-dev27

Backend engineer with 5+ years building scalable fintech microservices and event-driven systems for real-time reliability.

India
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What I'm looking for

I’m looking for a backend engineering role focused on building scalable, high-performance distributed systems. I’m especially interested in fintech or large-scale platforms where I can work on real-world problems involving consistency, throughput, and system design, while growing in a strong engineering culture.

I’m a backend engineer with 5+ years of experience building scalable, high-performance fintech and distributed systems. I focus on microservices, event-driven architectures, and high-throughput reliability—especially where correctness and consistency matter.

At Priority IDC, I designed and implemented a Target Balance Account (TBA) system handling ~2K–5K transactions/sec during peak loads. I built Kafka & Debezium-driven pipelines processing ~1M+ events/day for real-time data synchronization, cutting API response time by ~30–40% with Redis caching and optimized DB queries.

Earlier at 17Live, I built recommendation backends for ~100K+ daily active users with real-time personalization. I processed ~500K–1M events/day using Kafka, reduced recommendation latency by ~35%, and supported performance with a load balancer microservice (~10K+ requests/min) while reducing infrastructure cost by ~20% through GPU utilization monitoring.

At Paytm, I developed a ledger service handling ~1M+ transactions/day with ACID compliance, improving query latency by ~40% via indexing and Redis caching. I’ve also shipped projects like a P2P digital wallet using Saga-based distributed transactions and a double-entry ledger, plus real-time fraud detection and secure authentication (OAuth2/JWT/API Gateway), ensuring fault tolerance with service discovery (Eureka) and circuit breaker patterns.

Experience

Work history, roles, and key accomplishments

PI
Current

Backend Engineer

Priority IDC

Jan 2025 - Present (1 year 6 months)

Designed and implemented a Target Balance Account system processing ~2K–5K transactions/sec at peak load. Built Kafka + Debezium event-driven synchronization (~1M+ events/day), reduced API response time by 30–40% with Redis caching, improved throughput by ~25% via concurrency optimizations, and maintained <0.01% failure rate while mentoring junior developers.

17Live Inc. logoLI

Software Engineer

17Live Inc.

Feb 2022 - Jan 2025 (2 years 11 months)

Built a recommendation backend for ~100K+ daily active users with real-time personalization, processing ~500K–1M events/day via Kafka. Reduced recommendation latency by ~35%, designed a load balancer microservice supporting ~10K+ requests/min, cut infrastructure cost by ~20% through GPU utilization monitoring, and improved auto-scaling efficiency by ~30%.

Education

Degrees, certifications, and relevant coursework

NN

NIET, Greater Noida

Bachelor of Technology, Information Technology

2017 - 2021

Grade: 82.9%

B.Tech in Information Technology at NIET, Greater Noida (2017–2021), achieving 82.9%.

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