Anirudh Sharma

Software Engineer

Bengaluru, Karnataka, India12 yrs 1 mo experience

AI ML PractitionerAI Enabled

Key Highlights

Architected fault-tolerant, event-driven systems.
Led GenAI initiatives for code reviews and sprint planning.
Modernized infrastructure, boosting throughput significantly.

Stackforce AI infers this person is a Fintech expert with a strong focus on distributed systems and cloud-native architectures.

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Skills

Core Skills

Distributed SystemsCloud ComputingJavaGenerative Ai

Other Skills

DatabasesDockerKafka StreamsVert.xSpring BootKafkaPerformance TestingFramework DevelopmentOpenTelemetryPrometheusGrafanaREST APIsData PipelinesTransaction ManagementGenAI

About

I’m a Lead Software Engineer with 11+ years of experience designing and building distributed systems that power financial platforms at scale. From billing systems handling 100M+ events/day to scalable customer communication engines, I specialize in architecting fault-tolerant, event-driven, and cloud-native backends using Kafka, Spring Boot, Vert.x, and AWS. At Visa, I modernized critical infrastructure by migrating from IBM MQ to Kafka, boosting throughput to 1,700 TPS, and built a plug-and-play Kafka consumer framework that is now the internal standard across 23+ teams. I'm deeply passionate about platform engineering, system observability, and using OpenTelemetry, Prometheus, and Grafana to make backend systems transparent and debuggable. I also drive GenAI adoption, leading initiatives like AI-powered code reviews, auto-sprint planning, and code intelligence using Neo4j and LangChain. 🔧 My toolbox includes: Java • Spring Boot • Kafka • Vert.x • Docker • Kubernetes • Redis • Hazelcast • PostgreSQL • MongoDB • AWS • OpenTelemetry • Grafana • GenAI (OpenAI, LangChain) 🌍 I’m currently exploring: → Building developer productivity tools using AI → Sharing first-principles tech content on YouTube, Twitter/X, and LinkedIn → Designing platform architectures that can scale securely and observably

Experience

12 yrs 1 mo

Total Experience

2 yrs 3 mos

Average Tenure

8 mos

Current Experience

Alteryx

Lead Software Engineer

Sep 2025 – Present · 8 mos · Bengaluru, Karnataka, India · Hybrid

Distributed SystemsCloud ComputingGenerative AI

Visa

Staff Software Engineer

Mar 2023 – Sep 2025 · 2 yrs 6 mos · Bengaluru, Karnataka, India · Hybrid

At Visa’s CyberSource platform, I’m leading the architecture and development of large-scale distributed systems that process 100M+ events daily.
1. Built a high-throughput billing system handling 6,500 TPS using Kafka Streams, Vert.x, and Spring Boot – scaling it from 1,500 TPS.
2. Migrated legacy IBM MQ-based infrastructure to Kafka, eliminating SLA breaches and scaling seamlessly to 1,700 TPS through performance-tested redesigns.
3. Created a reusable Kafka consumer framework that standardizes processing patterns like retries, DB writes, and metrics — now adopted by 23+ teams across 60+ consumers as the internal standard.
4. Boosted system observability by integrating OpenTelemetry, Prometheus, and Grafana to monitor Kafka pipelines, APIs, and DB writes — reducing MTTR by 35%.
5. Developed scalable REST APIs and data pipelines processing 2.1B+ transactions/month, accelerating onboarding from days to minutes.
6. Designed distributed transaction management with auto-reconciliation, achieving 99.99% reliability.
7. Championed GenAI initiatives like AI-driven PR reviews and automated sprint planning integrated with JIRA and Confluence.
8. Led an 8-member engineering team and introduced automation at scale, improving release cycles by 20%.

Distributed SystemsDatabasesDockerJava

Goldman sachs

2 roles

Vice President - Software Development

Promoted

Jan 2022 – Mar 2023 · 1 yr 2 mos

Worked in Marcus by Goldman Sachs, driving scalable backend platforms across customer communications and content systems.
1. Built and scaled a multi-channel communications platform (Email, SMS, Push, Postal) for 13M+ customers.
2. Designed a high-volume PDF generation system for customer statements using AEM, Spring Boot, Kafka, and MongoDB.
3. Developed a long-term workflow archival system handling 7 years of data and 100+ workflows/day.
4. Improved content search on Marcus.com using Elasticsearch, reducing call center traffic by 27%.
5. Led a team of 7 engineers, owning scalability, performance tuning, and high-availability architecture across services.

Systems DesignDistributed SystemsComputer EngineeringObject Oriented DesignDistributed ApplicationsRESTful WebServices+19

Associate

Feb 2020 – Jan 2022 · 1 yr 11 mos

Systems DesignDistributed SystemsComputer EngineeringObject Oriented DesignDistributed ApplicationsRESTful WebServices+19

Gspann technologies, inc

Senior Software Engineer AEM

May 2018 – Jan 2020 · 1 yr 8 mos · Gurgaon, Haryana, India · On-site

1. Led development of an e-commerce platform using AEM, improving page load times by 30%.
2. Integrated high-performance backend services with customer-facing frontends, supporting large retail operations.

Computer EngineeringObject Oriented DesignComputer ScienceAmazon Web Services (AWS)Java Application DevelopmentDatabases+11

Adobe

Technical Consultant

Jul 2016 – May 2018 · 1 yr 10 mos · New Delhi, Delhi, India · On-site

1. Built extensible APIs in AEM used by 2M+ users, enhancing modularity and maintainability.
2. Boosted query performance by 32% through custom Oak index tuning and backend optimizations.

Distributed SystemsComputer EngineeringObject Oriented DesignRESTful WebServicesComputer ScienceJava Application Development+12

Tata consultancy services

Software Engineer

Mar 2014 – Jul 2016 · 2 yrs 4 mos · New Delhi, India · On-site

1. Developed pricing and metadata systems for a major retail client, managing 55k+ SKUs in real-time.
2. Delivered backend services enabling dynamic pricing and catalog accuracy at scale.

Computer EngineeringObject Oriented DesignComputer ScienceJava Application DevelopmentDatabasesJSON+8