Backend Engineer - Java, Python, Cloud, REST APIs

Ranjith P Software Engineer Dallas, TX • *****************@*****.*** • +1-940-***-****

Profile Summary

• Back-End Software Engineer with 3 years of experience delivering scalable enterprise solutions including API integrations and cloud deployments within fast-paced environments.

• Extensive technical skill set, with mastery in Java, JavaScript, and Python, solid grasp of backend frameworks (Spring Boot, Django), acute knowledge of cloud services (Docker, Kubernetes), with a focus on building performant, scalable and secure solutions.

• Impactful contributions during each phase of the Software Development Life Cycle, covering requirements analysis, architecture design, implementation, testing, deployment, and maintenance.

• Engaged collaborator with strong interpersonal skills and well versed in Agile methodologies, able to align cross-functional stakeholders with conflicting priorities to drive progress under aggressive time constraints.

Technical Skills

Programming & Scripting: Java, JavaScript (React, Angular, Node.js), Python (Django, Flask, FastAPI)

Backend & API Development: Spring Boot, REST APIs, GraphQL, Microservices Architecture

Database & Data Management: PostgreSQL, MongoDB, MySql,OracleELK Stack

Security & Compliance: OAuth 2.0, JWT, HIPAA Compliance, Fraud Detection

Cloud & DevOps: Docker, Kubernetes, Jenkins, CI/CD Pipelines

Software Development Methodologies: Agile (Scrum), Test-Driven Development (TDD), Scalable Web Apps

Financial & Healthcare Tech: Claims Processing Automation, Real-Time Analytics, Reporting Dashboard

Education

Southern Arkansas University Arkansas, AR

Master of Science in Computer and Information Science Aug. 2022 - May 2024

Vidya Jyothi Institute of Technology Hyderabad, India

Bachelor’s in Computer Science Aug. 2017 - July. 2021

Work Experience

JPMorgan Chase & Co Dallas, TX

Software Developer I Feb. 2024 - Present

• Led the design and deployment of a scalable claims processing platform using automation, real-time analytics, and Cloud-Native infrastructure, boosting efficiency, compliance, and fraud detection.

• Collaborated within a cross-functional team, employing Agile practices, including daily stand-up meetings and weekly sprints, to effectively deliver software under tight deadlines.

• Engineered an automated claims system with Spring Boot, PostgreSQL, MongoDB, Camunda, and Airflow, using Saga Pattern, event-driven architecture, and async processing to cut manual review time by 40%.

• Built a fraud detection engine with custom Java-based algorithms and Apache Flink, Apache Spark, Apache Kafka, RabbitMQ, applying Isolation Forest, Local Outlier Factor, Event Sourcing, and Stream Processing to flag over $2M in potentially fraudulent claims within 6 months.

• Optimized claims approval workflows with Node.js, Spring Boot, and Cerberus, using RBAC, audit logging, and queue-based throttling to boost processing speed by 40% while ensuring HIPAA compliance.

• Built real-time reporting dashboards with D3.js, Chart.js, and Firebase, using Observer Pattern, Pub-Sub, ETL jobs, and WebSockets to enhance claims visibility and cut manual reporting by 60%.

• Conducted tests including unit tests, integration tests, and regression tests using JUnit, Mockito, Spring Test, and Jenkins, achieving a code coverage of over 85%.

• Deployed the application using Docker, Kubernetes, Helm, Kustomize, Prometheus, Grafana, and AWS, while applying horizontal pod autoscaling and load balancing strategies as well as implementing blue-green deployment and rolling updates, to ensure scalability and reliability for over 100K claims per month.

• Implemented ongoing maintenance procedures for the Claims Processing System using New Relic, Datadog, Predictive Maintenance, and Error Budgeting to proactively address system bottlenecks and reduce downtime.

• Delivered compelling presentations on designs and evolving software development trends and technology integration strategies to senior management and stakeholders, leveraging visualization tools and storytelling techniques.

NTT DATA Services Bengaluru, India

Associate Software engineer Aug. 2021 - Aug. 2022

• Brought business visions to life, while developing an AI-powered document management system and optimizing search and API workflows using Python in combination with Flask and FastAPI.

• Developed an AI-powered document management system using Django, Flask, FastAPI, and IBM Watson, integrating AWS S3, Azure Blob Storage, spaCy, and NLTK, and applying batch processing, microservice communication, API orchestration, and model inference pipelines to automate over 1M document processes per month.

• Built a FastAPI-based search engine using Elasticsearch, Typesense, Redis, and Varnish, applying indexing, query preprocessing, and connection pooling to cut retrieval time by 80% and ensure sub-second responses.

• Optimized API workflows using Flask as an API Gateway and IBM Watson AI, integrating Kong, Tyk, Redis, and Memcached, and applying Request Batching, Async I/O Handling, Model Caching, and Response Compression to reduce classification latency from 10 seconds to under 3 seconds.

• Implemented secure authentication using OAuth 2.0, JWT, PASETO, SAML, and OpenID Connect via IBM Cloud IAM, applying Zero Trust, RBAC, and MFA to ensure full compliance with financial security standards.

• Crafted a scalable microservices architecture on IBM Cloud Kubernetes with Istio, Linkerd, Helm, and Kustomize, leveraging Circuit Breaker, Bulkhead Isolation, Horizontal Pod Autoscaling, and Load Distribution to ensure 99.99% uptime under high workloads.

Path Technologies Hyderabad, India

Software Development Engineer Jul. 2020 - Jul. 2021

• Developed and maintained Java/J2EE applications using Maven, Gradle, Apache Tomcat, and JBoss, applying Lazy Loading, Connection Pooling, SOLID, and DRY principles to improve system performance and reliability by 25%.

• Engineered scalable solutions for Business-Critical Applications using Spring, Hibernate, PostgreSQL, OracleDB, Spring Context, and CDI, applying Layered Architecture, DAO Pattern, Modularization, and Aspect-Oriented Programming, improving code maintainability by 20%.

• Delivered SOAP and REST web services with Apache CXF and Spring Web Services, employing Swagger and WSDL for API documentation, and utilized the Adapter Pattern and API Gateway Pattern along with Retry Logic and Input Validation to enable seamless integration with external systems, reducing manual interventions by 30%.

• Orchestrated MongoDB solutions with advanced indexing, denormalization, and aggregation pipelines, cutting data retrieval time by 25%.

Projects and Certifications

Online Learning Management Platform Aug. 2019 - Sep. 2019

• Created a scalable learning management platform using React and Spring Boot, optimizing database indexing and content delivery for videos, PDFs, and user tracking to support over 1,000 users and improve daily interface performance ratings.

Fitness Tracker Portal Jan. 2019 - Mar. 2019

• Conducted performance testing and optimized a responsive Angular front-end to improve workout logging and reduce page load times by over 2 seconds, driving a 95%+ user satisfaction rate through continuous user-driven improvements.

AWS Cloud Practitioner Certification June. 2021

Contact this candidate