Snehil Patel — Software Engineer

I am a Software Engineer at Amazon, working in the Global Advertisements team. My work focuses on building reliable, scalable backend systems and distributed services, with growing exposure to applied AI and LLM-driven workflows in production. At Amazon, I build and own backend services and distributed systems, working primarily with Java, python and Spring Boot. I have developed distributed web crawlers using Python and Playwright, applying networking fundamentals to improve reliability and throughput. I have also built internal investigation dashboards using Angular and TypeScript, integrating multiple backend APIs and focusing on performance and maintainability. Alongside this development work, I contribute to architectural decisions around scalability and fault tolerance, build event-driven workflows using AWS-native services, and work on LLM-powered evaluation pipelines using Amazon Bedrock, RAG, vector search, and OCR to support data-driven compliance decisions. Before joining Amazon, I worked as a Software Development Engineer at Bajaj Finserv, where I built and owned backend systems for employee onboarding and internal financial operations used by 10,000+ users. My work included Kafka-based event pipelines, high-throughput AWS Batch jobs processing 100K+ messages per minute, performance optimisations across Oracle and PostgreSQL that reduced P99 latency by 32%, and CI/CD pipelines enabling zero-downtime deployments for business-critical systems. Core strengths • Backend and distributed systems design • REST APIs, microservices, and event-driven architectures • Cloud-native development on AWS • Production debugging, observability, and performance tuning • Applied AI and LLM systems in real-world workflows Tech stack • Languages: Java, Python, C/C++, SQL, JavaScript, TypeScript • Frameworks: Spring Boot, Django, Angular, React • Cloud & DevOps: AWS (ECS, Lambda, SQS, SNS, Step Functions, IAM), Docker, Kubernetes, Jenkins • Data & Messaging: PostgreSQL, Oracle, DynamoDB, Redis, Kafka, OpenSearch • Observability & Testing: CloudWatch, Prometheus, Grafana, JUnit, PyTest, JMeter, k6 My other interests include: 🏏⚽♟️🏎️ Sports Enthusiast: I’m passionate about cricket, football, chess, and Formula 1. Whether it’s planning moves over a chessboard, following a close cricket match, or tracking an F1 race weekend, sports keep me energized and competitive. Fun fact about me: I hold a Dan 1 black belt in Shotokan style karate. Want to have a chat with me? You can reach out here or connect with me at snahil99@gmail.com.

Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in Fintech and SAAS.

Location: Bengaluru, Karnataka, India

Experience: 3 yrs 5 mos

Skills

Backend And Distributed Systems Design
Cloud-native Development On Aws
Applied Ai And Llm Systems
Production Debugging And Observability

Career Highlights

Expert in building scalable backend systems.
Proficient in cloud-native development on AWS.
Strong experience with applied AI and LLM workflows.

Work Experience

Microsoft

Software Engineer ll (3 mos)

Amazon

Software Engineer (1 yr 1 mo)

Bajaj Finserv

Software Development Engineer (2 yrs 1 mo)

Crio.Do

Product Engineer (2 mos)

Education

Bachelor of Technology - BTech at Vellore Institute of Technology

10+2 at Delhi Public School - India

Snehil Patel

Software Engineer

Bengaluru, Karnataka, India3 yrs 5 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in building scalable backend systems.
Proficient in cloud-native development on AWS.
Strong experience with applied AI and LLM workflows.

Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in Fintech and SAAS.

Contact

snahil99@gmail.com LinkedIn

Skills

Core Skills

Backend And Distributed Systems DesignCloud-native Development On AwsApplied Ai And Llm SystemsProduction Debugging And Observability

Other Skills

Python (Programming Language)DjangoSpring BootREST APIsAgile/ScrumJavaPythonPlaywrightAngularTypeScriptHTML5CSS3Amazon BedrockRAGOpenSearch

About

Experience

3 yrs 5 mos

Total Experience

1 yr 6 mos

Average Tenure

3 mos

Current Experience

Microsoft

Software Engineer ll

Mar 2026 – Present · 3 mos · Hyderabad · Hybrid

Amazon

Software Engineer

Feb 2025 – Mar 2026 · 1 yr 1 mo · Bengaluru · On-site

1. Implemented a Full-Stack Spring Boot microservice exposing OpenAPI- and SigV4-secured REST endpoints, owning backend logic, API contracts, and frontend consumption while contributing in Agile/Scrum-based iterations and architectural discussions around scalability, fault tolerance, and service interactions for Ads Partner workflows across 600K+ domains.
2. Built a distributed web crawler using Java, Python, Playwright, and async processing, applying networking fundamentals (DNS resolution, timeouts, retries) to improve crawl reliability and throughput.
3. Developed and owned internal investigation dashboards using Angular, TypeScript, HTML5, and CSS3, integrating multiple backend APIs and delivering features through Agile sprint cycles, focusing on performance and maintainability including UI design specialization.
4. Implemented an LLM-powered evaluation pipeline using Amazon Bedrock, RAG, vector search (OpenSearch), and Tesseract OCR, combining automated analysis with human review to support data-driven compliance decisions.
5. Made architectural and DevOps decisions around event-driven workflows, Step Functions orchestration, and containerized services on ECS, with end-to-end observability using CloudWatch.
6. Performed deep production troubleshooting through log analysis, metrics inspection, and root-cause debugging across distributed systems, while mentoring junior engineers on operational best practices.

Python (Programming Language)DjangoBackend and distributed systems designCloud-native development on AWS

Bajaj finserv

Software Development Engineer

Jan 2023 – Feb 2025 · 2 yrs 1 mo · Pune District · Hybrid

1. Designed, implemented, and owned Java Spring Boot microservices supporting employee onboarding, approvals, and internal operations for teams working on loan processing, insurance servicing, and mutual fund operations, contributing to system design discussions around service boundaries, data ownership, and scalability for 10,000+ users.
2. Architected Kafka-based event-driven pipelines to handle long-running workflows such as payroll triggers and bulk notifications, ensuring reliable propagation of events across lending, insurance, and investment support systems under peak load.
3. Built high-throughput AWS Batch pipelines processing 100K+ messages per minute, used by finance and operations teams for reconciliation, reporting, and downstream processing, with shell scripting to automate orchestration, retries, and failure handling.
4. Optimized critical data paths across Oracle DB and PostgreSQL by refactoring complex SQL, tuning Hibernate fetch strategies, and introducing Redis caching for high-traffic workflows tied to loan disbursements and insurance records, reducing P99 latency by 32%.
5. Developed and maintained full-stack internal web applications using Angular, React, HTML5, and CSS3, owning frontend behavior, API integration, and backend coordination for business workflows prioritizing correctness, performance, and long-term maintainability.
6. Designed and enforced CI/CD pipelines using Jenkins and Maven, improving deployment reliability and rollback safety for services supporting mission-critical financial operations.
7. Implemented TDD and integration/load testing using JUnit, PyTest, JMeter, and k6, validating concurrency behavior, throughput limits, and failure scenarios for systems handling sensitive financial data.
8. Led production troubleshooting using Prometheus, CloudWatch, and Linux CLI, applying networking fundamentals (TCP/IP, DNS) to diagnose and resolve incidents affecting time-sensitive loan, insurance, and investment workflows.

KibanaPostgreSQLBackend and distributed systems designCloud-native development on AWS

Crio.do

Product Engineer

May 2022 – Jul 2022 · 2 mos · Bengaluru, Karnataka, India · Remote

1. Collaborated in developing Guided Learning Projects and Challenge Project Assignments for the Backend Developer Track, focusing on Learn by Doing pedagogy.
2. Created high-quality Learn By Doing session deliverable content for the Backend Developer Track at Crio.Do.
3. Implemented innovative strategies to enhance the learning experience and engagement of participants in the program.