Eshudhi Jangid
@eshudhijangid
Backend engineer building production microservices and event-driven distributed systems; I cut latency and improve reliability at scale.
What I'm looking for
I’m a Backend Engineer with 3+ years designing and operating high-throughput, distributed microservices at production scale. At Signify R&D, I delivered measurable impact for IoT platforms serving 30,000+ users and handling 100K+ API requests/day.
I focus on performance engineering and system reliability. I achieved 70% API latency reduction through query optimisation, indexing, connection pool tuning, and cross-service system redesign—while maintaining 99.9% SLA using proactive observability and incident response.
My work centers on event-driven, fault-tolerant architecture. I led monolith-to-microservices migrations, architected asynchronous processing with retry/fallback/circuit-breaker patterns, and built AWS serverless workflows (Lambda → Step Functions → DynamoDB) to enable auto-scaling without provisioning overhead.
I also optimize how teams ship. I improved Jenkins CI/CD pipeline efficiency (60% gains), reduced technical debt by 30%, introduced micro frontend architecture for 15+ tenants, and embedded DevSecOps gates using SonarQube, OPA policy gates, and Mend SCA. I’m recognised with performance awards in 2024 and 2025, and I’m actively preparing for senior backend and distributed systems roles at product-first companies.
Experience
Work history, roles, and key accomplishments
Backend Engineer
Signify R&D
Jun 2023 - Present (3 years)
Engineered Spring Boot microservices powering IoT platforms for 30,000+ global users, maintaining 99.9% SLA via proactive observability and incident response. Reduced API response latency by 70% through query optimisation and system redesign, and improved CI/CD deployment success rate by 60% by optimizing Jenkins pipelines.
Software Engineer Intern
Signify R&D
Jan 2023 - Jun 2023 (5 months)
Built automated API test frameworks with Karate DSL and Postman integrated into Jenkins CI/CD, increasing test coverage by 80% and reducing manual validation effort by 75%. Applied AI-assisted test generation to create edge-case suites, improving regression safety and lowering maintenance overhead.
Education
Degrees, certifications, and relevant coursework
Vellore Institute of Technology (VIT)
Bachelor of Technology (B.Tech), Computer Science and Engineering
2019 - 2023
Grade: 8.09/10
Earned a B.Tech in Computer Science and Engineering at Vellore Institute of Technology (VIT) from 2019 to 2023, achieving a GPA of 8.09/10.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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