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Amritanshu Jha

Senior Software Engineer | Distributed Systems | Cloud & Data Platforms | Microservices | Event Driven Architecture

India

8+ years of work experience

Salesforce
Oct 20224 yrsPresent

• Architected and executed the migration of a multi-TB Security ETL platform from AWS Glue to Spark on Kubernetes, lowering annual compute costs by 73% ($1.74M) and reducing average job runtime by 42%. • Engineered a DynamoDB-backed file-state tracker replacing Glue bookmarks to isolate newly appended S3 files (~1M+ prefixes), enabling true incremental processing. • Executed a phased, zero-downtime cutover across 34 security control pipelines (210+ Glue jobs) with automated data-parity checks and zero production regressions. •Migrated Vulnerability Data APIs to an Apache Iceberg/S3 lakehouse backend built in Go, powering 40+ REST APIs for security dashboards. • Reduced API p95 latencies by ~90% (from 1.2s to 115ms) by engineering an ElastiCache layer with filter-hashed keys, range-pagination reuse, and automated invalidation with a Cache Hit ratio of 77%. • Standardized deployment workflows using Argo Rollouts (blue/green), Vault-managed secrets, and automated CI/CD to eliminate manual production changes while maintaining sub-30-minute rollbacks.
Swiggy
Mar 20211 yr 8 mosOct 2022

• Owned Post-Order Address Update and Order Status ETA Optimization on a Delivery Platform serving 2M+ daily orders, along with shipping multiple features across consumer and driver applications and scaling them for peak demand hours. • Sustained 300k+ requests/min at lower latency, by decomposing a Java monolith into Java/Go microservices and replacing internal REST calls with gRPC. Migrated legacy Orders Database from SQL to NoSQL(DynamoDB) and implemented ElastiCache read caching, eliminating database hotspots and reducing p99 response times. • Won MVP (FY 2021–22) for scaling Delivery Platform through New Year peak to 10k+ orders/min, by tuning Kafka producer/consumer configs, consumer lag and topic partitions, along with load-testing API throughput, latencies and database metrics to keep order creation, assignment and status update paths within SLA.
OYO
Aug 20206 mosJan 2021

Gurugram

Global Finance Tech team • Built automated invoicing and reconciliation workflows for global merchant accounts serving hotel partners across 75+ countries.
Arque Tech
Jun 20202 mosJul 2020

Red Bull
Aug 20182 yrsJul 2020

Amritanshu’s AI Stack

claude code
claude code
claude
claude
cursor
cursor
gemini
gemini
grok
grok
perplexity
perplexity

Education

Netaji Subhas Institute of Technology

Bachelor of Engineering - BE

Netaji Subhas Institute of Technology

Delhi University

Bachelor of Engineering - BE

Delhi University

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Headline

Senior Software Engineer | Distributed Systems | Cloud & Data Platforms | Microservices | Event Driven Architecture

About

Hi there! I am a Senior Software Engineer and Backend Engineer driven by a passion for designing resilient distributed systems, high-throughput microservices, and cloud-native infrastructure. Over the course of my career, my engineering focus has centered on solving complex architectural scaling, performance optimization, and data platform challenges at enterprise scale. Most recently at Salesforce, I have focused heavily on building and migrating high-performance security data platforms. One of my favourite challenges was designing a zero-downtime, multi-TB migration from AWS Glue to Spark on Kubernetes, which ultimately slashed annual compute costs by 73%(saving $1.74 Million annually) - while speeding up the execution runtime. I have also loved getting my hands dirty with low-latency APIs, rebuilding database access layers in Go, and architecting ElastiCache layers that reduced p95 latencies by 90% on cache hits with a cache hit ratio of 77%. Prior to this, my time with Swiggy’s Delivery Platform gave me a deep appreciation for managing high-concurrency systems where software performance directly impacts customer facing products. I focused on decomposing legacy Java monoliths into highly parallel Go/Java microservices. This work not only scaled core delivery APIs to sustain 300K+ RPM and cut latencies by 77%, but it also ensured seamless business continuity - allowing our fulfillment networks to thrive during critical revenue events like New Year's Eve, sustaining peak demands of 10K+ orders per minute without downtime. I thrive in fast-paced environments where I can combine technical leadership with deep execution. My core work revolves around highly concurrent languages like Golang, Java (Spring Boot), C++, and Python. I couple these with managed databases & caching layers - including PostgreSQL, DynamoDB, and Redis - and deploy them securely across cloud platforms like AWS (EKS, EC2) and Kubernetes. I am always happy to connect with engineering leaders, peers, and technical recruiters regarding Senior Software Engineer, Backend Engineer, or SDE-2/SDE-3 roles!

Location

India

AI stack

claude code

claude

cursor

gemini

grok

perplexity

Work experience

Senior Software Engineer at Salesforce, Oct 2022 - Present · 4 yrs, • Architected and executed the migration of a multi-TB Security ETL platform from AWS Glue to Spark on Kubernetes, lowering annual compute costs by 73% ($1.74M) and reducing average job runtime by 42%. • Engineered a DynamoDB-backed file-state tracker replacing Glue bookmarks to isolate newly appended S3 files (~1M+ prefixes), enabling true incremental processing. • Executed a phased, zero-downtime cutover across 34 security control pipelines (210+ Glue jobs) with automated data-parity checks and zero production regressions. •Migrated Vulnerability Data APIs to an Apache Iceberg/S3 lakehouse backend built in Go, powering 40+ REST APIs for security dashboards. • Reduced API p95 latencies by ~90% (from 1.2s to 115ms) by engineering an ElastiCache layer with filter-hashed keys, range-pagination reuse, and automated invalidation with a Cache Hit ratio of 77%. • Standardized deployment workflows using Argo Rollouts (blue/green), Vault-managed secrets, and automated CI/CD to eliminate manual production changes while maintaining sub-30-minute rollbacks.

Software Development Engineer at Swiggy, Mar 2021 - Oct 2022 · 1 yr 8 mos, • Owned Post-Order Address Update and Order Status ETA Optimization on a Delivery Platform serving 2M+ daily orders, along with shipping multiple features across consumer and driver applications and scaling them for peak demand hours. • Sustained 300k+ requests/min at lower latency, by decomposing a Java monolith into Java/Go microservices and replacing internal REST calls with gRPC. Migrated legacy Orders Database from SQL to NoSQL(DynamoDB) and implemented ElastiCache read caching, eliminating database hotspots and reducing p99 response times. • Won MVP (FY 2021–22) for scaling Delivery Platform through New Year peak to 10k+ orders/min, by tuning Kafka producer/consumer configs, consumer lag and topic partitions, along with load-testing API throughput, latencies and database metrics to keep order creation, assignment and status update paths within SLA.

Software Engineer at OYO, Aug 2020 - Jan 2021 · 6 mos, Gurugram, Global Finance Tech team • Built automated invoicing and reconciliation workflows for global merchant accounts serving hotel partners across 75+ countries.

Software Developer Intern at Arque Tech, Jun 2020 - Jul 2020 · 2 mos

Student Brand Manager at Red Bull, Aug 2018 - Jul 2020 · 2 yrs

Education

Bachelor of Engineering - BE, Netaji Subhas Institute of Technology

Bachelor of Engineering - BE, Delhi University

Public links

github: https://github.com/amritanshuj

Amritanshu Jha - Senior Software Engineer in India | Tal