Hello, I'm

Aman Siddiqui

Backend Software Engineer — Java, Spring Boot, Microservices

3 years of experience designing and scaling distributed systems. Currently Software Engineer (Backend) at MetLife, Noida. Pursuing M.Tech in AI & ML at BITS Pilani.

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3+ Years Experience
AZ-204 Azure Certified
500GB+ Data Processed / Day

About

Engineer who ships, scales, and simplifies

Backend Software Engineer with 3 years of experience designing and scaling distributed systems and microservices in Java and Spring Boot. Track record of shipping high-throughput APIs, cutting data-access latency with caching, and leading zero-downtime production migrations. Strong foundation in distributed systems, cloud-native architecture (Azure/AWS), and DevOps.

Experience

Where I've worked

Software Engineer (Backend)

MetLife — Noida Oct 2025 — Present
  • Design and ship high-performance REST APIs in Java/Spring Boot powering customer channels including conversational IVR and mobile apps.
  • Introduced MongoDB-backed caching on hot read paths, cutting repeated DB calls.
  • Built a Python data pipeline ingesting vulnerability telemetry from Prisma Cloud and AppDynamics, automating reporting.
  • Led production migration of email/fax/print delivery systems to Quadient APIs with zero disruption to live customer communications.

Software Developer

Deloitte — Gurugram Jul 2023 — Oct 2025
  • Built a GenAI-powered tool on Azure OpenAI that auto-generates JUnit test cases, improving test-authoring efficiency by 200% (Applause Award + client recognition).
  • Migrated legacy JBoss applications and upgraded services from Java 11 to 17 with minimal defects.
  • Engineered Java services integrating Azure Queue and Blob Storage, reliably processing 500+ GB of data daily.

Projects

Things I've built

URL Shortener

Live

Production-style URL shortener: REST API with short-code generation, Redis caching on the hot redirect path, asynchronous click analytics over Kafka (Redpanda), per-IP rate limiting, Flyway migrations, 49/49 tests passing, and a Docker Compose local setup — deployed live on Render.

Java 17Spring BootPostgreSQLRedisKafka
Live Demo Code

Document AI Recognition

Full-stack document recognition platform: Spring Boot backend, React frontend, Azure AI Services OCR for data extraction; containerized and deployed on AWS Fargate with scalable upload and processing infrastructure.

Spring BootReactAzure AI OCRAWS Fargate
Code

doc-ocr-ui

ReactJS UI to read document text.

React
Code

Skills

My toolbox

Languages

Java (8/11/17)PythonGroovySQL

Frameworks

Spring BootSpring Data JPA / HibernateREST APIsMicroservices

Databases

PostgreSQLMongoDB

Cloud & Messaging

Microsoft Azure (AZ-204)AWS (S3, EC2, Fargate)KafkaRedisDockerKubernetes

Tools

GitJenkinsGradleMavenCI/CD

Also familiar

React.js

Education

Learning never stops

M.Tech — Artificial Intelligence & Machine Learning

BITS Pilani (WILP)

2026 — 2028 · Pursuing

B.Tech — Mechanical Engineering

SVNIT Surat

2019 — 2023

Microsoft Certified: Azure Developer Associate

AZ-204

Contact

Let's connect

I'm always up for a conversation about backend systems, distributed design, or new opportunities.

Email Me GitHub