Post Job Free
Sign in

Backend Software Engineer - Python, AWS, Microservices

Location:
Jersey City, NJ, 07306
Salary:
120000
Posted:
August 12, 2026

Contact this candidate

Resume:

RIYA PAWAR

Jersey City, NJ +1-551-***-**** *********.******@*****.*** linkedin.com/in/riya-pawar-software-engineer SUMMARY

Software Engineer with 7+ years of experience designing and delivering scalable backend applications, microservices, and cloud- native solutions using Python, FastAPI, Django, Flask, SQL, and RESTful APIs. Proficient in building high-performance distributed systems, API development, ETL pipelines, and data processing with PySpark, Apache Airflow, Kafka, PostgreSQL, and MongoDB, while leveraging AWS, Docker, Kubernetes, Jenkins, GitHub Actions, and Terraform to automate CI/CD and cloud deployments. Experienced in implementing secure authentication, automated testing, application monitoring, and performance optimization using PyTest, Prometheus, Grafana, ELK Stack, and Datadog. Expert in Agile/Scrum, clean architecture, and cross-functional collaboration, delivering reliable, scalable, and business-focused software solutions. SKILLS

Programming Languages: Python, SQL, Bash, JavaScript, TypeScript, HTML5, CSS3 Python Frameworks: Django, Flask, FastAPI, Django REST Framework (DRF), SQLAlchemy, Pydantic Backend Development: RESTful APIs, GraphQL, Microservices, API Development, Authentication & Authorization (JWT, OAuth2), Async Programming, WebSockets

Python Libraries: Pandas, NumPy, SciPy, Matplotlib, Requests, BeautifulSoup, Selenium, OpenPyXL Databases: PostgreSQL, MySQL, SQL Server, Oracle, MongoDB, Redis, SQLite Cloud Platforms: AWS: EC2, Lambda, S3, RDS, API Gateway, ECS, EKS, IAM, CloudWatch, DynamoDB, SQS, SNS; Azure: App Services, Azure Functions, Azure SQL, Azure Storage; GCP: Cloud Run, Compute Engine, Cloud Storage, BigQuery DevOps & CI/CD: Docker, Kubernetes, Jenkins, GitHub Actions, GitLab CI/CD, Terraform, Ansible Data Engineering: Apache Spark (PySpark), Apache Airflow, Kafka, RabbitMQ, ETL Pipelines, Data Processing Testing & Quality: PyTest, Unit Testing, Integration Testing, Selenium, Postman, Swagger/OpenAPI, SonarQube Monitoring & Logging: Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana), Splunk, Datadog Version Control & Tools: Git, GitHub, GitLab, Bitbucket, VS Code, PyCharm, Jupyter Notebook Software Engineering: Object-Oriented Programming (OOP), SOLID Principles, Design Patterns, Clean Architecture, Multithreading, Multiprocessing, Asynchronous Programming Methodologies: Agile, Scrum, Kanban, SDLC, CI/CD, DevSecOps Core Competencies: Backend Development, API Design, System Design, Distributed Systems, Performance Optimization, Scalability, Problem Solving, Code Review, Technical Leadership, Cross-Functional Collaboration EXPERIENCE

Software Engineer, Honeywell, USA Nov 2024 - Present

● Architected scalable microservices using Python, FastAPI, SQLAlchemy, PostgreSQL, and Docker, delivering high- performance backend services that reduced API response time by 37% while improving application scalability across enterprise platforms.

● Developed and maintained TypeScript-based frontend applications integrated with Python backend services using RESTful APIs.

● Built cloud-native backend solutions using AWS Lambda, API Gateway, EC2, S3, RDS, ECS, and CloudWatch, improving application deployment efficiency by 34% and reducing infrastructure management overhead.

● Implemented scalable ETL pipelines using PySpark, Apache Airflow, Kafka, and PostgreSQL to process high-volume operational data, reducing processing time by 42% while improving data availability for downstream applications.

● Automated CI/CD pipelines through GitHub Actions, Docker, Kubernetes, Terraform, and Jenkins, decreasing deployment cycles by 46% and enabling consistent, zero-downtime production releases.

● Developed comprehensive PyTest-based unit and integration testing frameworks with Postman and Swagger/OpenAPI, increasing automated test coverage to 92% while improving release quality and reducing production defects.

● Implemented centralized monitoring and observability using Prometheus, Grafana, ELK Stack, and Datadog, proactively identifying application bottlenecks and improving production uptime by 25%. Senior Software Engineer, Iflair Web Technologies, India Feb 2018 - Jul 2023

● Led development of enterprise web applications using Django REST Framework, MySQL, and Redis, delivering scalable backend solutions that improved application performance by 35% across multiple client projects.

● Designed and implemented RESTful APIs and GraphQL services using Flask and FastAPI, enabling seamless integration with frontend applications and third-party platforms while reducing data exchange latency by 30%.

● Developed reusable TypeScript components and type-safe interfaces to improve code maintainability and reduce runtime errors.

● Optimized relational database performance across MySQL, SQL Server, Oracle, and MongoDB through query tuning and schema enhancements, improving transaction processing speed by 33% and reducing database response times.

● Automated backend workflows using Python, Bash, Pandas, NumPy, and OpenPyXL, streamlining business processes and reducing manual operational effort by 40% through reusable automation solutions.

● Engineered asynchronous application components using Async Programming, WebSockets, and Redis, increasing concurrent request handling capacity by 45% while improving responsiveness for real-time applications.

● Established DevOps practices using GitLab CI/CD, Docker, Kubernetes, and Ansible, reducing deployment failures by 38% and accelerating software delivery across development, testing, and production environments.

● Strengthened application quality by implementing PyTest, Selenium, SonarQube, and integration testing frameworks, improving code quality metrics and reducing post-release defects by 31% across enterprise applications.

● Mentored development teams on OOP, SOLID Principles, Design Patterns, Clean Architecture, and code review best practices, improving engineering productivity, maintainability, and successful delivery of large-scale software projects. PROJECTS

Distributed Order Processing System for E-Commerce Jan 2025 - May 2025 React.js, Node.js, Express.js, Java (Spring Boot), MySQL, Redis, AWS

● Overview: Built the front-end storefront using React.js, enabling dynamic product listing, cart management, and responsive UI for 10,000+ daily users. Implemented JWT-based authentication and role-based access control (customer, admin, vendor).

● Implemented Node.js/Express REST APIs for product search, checkout, inventory sync, and user sessions, reducing API latency by 28%. Automated UI and API tests with Cypress and Cucumber, lowering manual QA effort by 40%.

● Designed a scalable backend architecture combining Node.js (gateway) and Spring Boot (microservices) to improve service isolation and uptime. Automated Node.js deployments using GitHub Actions to AWS EC2, achieving 30% faster release cycles.

● Built reusable React components (product cards, category filters, carts, modals), reducing UI development time by 45%. EDUCATION

Master of Science in Computer Science Pace University, New York, NY — May 2025 Master of Science (MS) in Computer Application (IT) K.S School of Business Management, India — Apr 2018 CERTIFICATIONS

● Claude 101

● Adobe Commerce as a Cloud Service Foundations

● Adobe Commerce Foundations



Contact this candidate