Cloud-Based Full Stack Engineer with AWS Focus

Sai Santhosh Kambhampati

Cloud-Based Full Stack Engineer

+1-913-***-**** **************@*****.*** linkedin

SUMMARY

Cloud-based Full Stack Engineer with 5+ years of experience building, deploying, and supporting scalable applications in production environments, with a primary focus on AWS cloud. Strong experience in developing microservices using Python and Node.js, along with building user-facing applications using React when required. Hands-on experience deploying containerized applications on Kubernetes (EKS/AKS), implementing CI/CD pipelines, and managing cloud infrastructure to ensure reliable and high-performing systems. Actively involved in troubleshooting production issues, analyzing logs and metrics using tools like CloudWatch and ELK, and implementing solutions to improve system stability and performance. Experienced in automating routine tasks and working across development and platform layers to deliver secure, scalable, and maintainable solutions.

SKILLS

Cloud & Containerization : AWS (EKS, EC2, S3, Lambda, CloudWatch), Azure (AKS, Functions, Blob Storage), Kubernetes, Docker, Helm

CI/CD & Infrastructure Automation : GitHub Actions, AWS Code Pipeline, Azure DevOps, Jenkins, Terraform

Backend & Microservices Development: Python, Node.js, Express.js, REST APIs, Microservices Architecture, GraphQL

Frontend Development: React.js, Redux, Next.js, HTML5, CSS3, Tailwind CSS

Databases & Messaging: PostgreSQL, MySQL, MongoDB, Redis, Apache Kafka

Monitoring, Logging & Reliability: AWS CloudWatch, ELK Stack (Elasticsearch, Logstash, Kibana), Grafana, Prometheus

Security & API Management: OAuth2, JWT, RBAC, API Gateway (AWS / Azure), SSL/TLS

Domain & Practices: Financial Systems (Transaction Processing, Compliance Workflows), Telecom Systems (Billing, Rewards, Event-driven Processing), CI/CD Pipelines, Agile/Scrum, Production Support, Performance Optimization

EXPERIENCE

Ally Financial, Cloud-Based Full Stack Engineer, USA Dec 2024 – Present

Project Description:

Developed a cloud-native financial services platform to support transaction processing, portfolio management, and compliance workflows for large-scale financial data. Built backend microservices using Python and Node.js, exposing secure REST APIs for internal and external integrations. Containerized applications using Docker and deployed them on AWS EKS with Kubernetes orchestration to ensure scalability and high availability. Implemented CI/CD pipelines using GitHub Actions and AWS CodePipeline to automate build, testing, and deployment across environments. Integrated monitoring and logging using AWS CloudWatch, ELK stack, and Prometheus/Grafana to improve observability and support production troubleshooting. Designed and optimized databases using PostgreSQL and MongoDB, and implemented event-driven processing using Kafka for real-time transaction handling. Developed React-based dashboards to visualize financial insights, system metrics, and operational data. Ensured application security using OAuth2, JWT, RBAC, and API Gateway while collaborating with cross-functional teams to improve system performance, reliability, and production stability.

Responsibilities:

Designed and developed scalable microservices using Python and Node.js to handle financial transactions, portfolio data, and compliance workflows, ensuring modular architecture and maintainability across distributed systems.

Built and exposed secure REST APIs for internal and third-party integrations, implementing authentication and authorization using OAuth2, JWT, and RBAC to meet enterprise security standards.

Containerized backend services using Docker and deployed them on AWS EKS, leveraging Kubernetes for orchestration, autoscaling, and high availability of production workloads.

Implemented end-to-end CI/CD pipelines using GitHub Actions and AWS Code Pipeline to automate code integration, testing, and deployment, reducing manual effort and improving release consistency.

Integrated monitoring and logging solutions using AWS CloudWatch, ELK stack, and Prometheus/Grafana to track system performance, analyze logs, and proactively identify and resolve production issues.

Designed and optimized database schemas in PostgreSQL and MongoDB, improving query performance and ensuring efficient handling of large-scale financial data and transaction records.

Implemented event-driven architecture using Apache Kafka to process real-time financial transactions, alerts, and notifications, improving system responsiveness and data consistency.

Developed responsive React-based dashboards to visualize portfolio insights, system metrics, and operational data, enhancing usability for business and technical stakeholders.

Collaborated with DevOps, QA, and product teams to troubleshoot production issues, optimize application performance, and implement automation strategies to improve system reliability and reduce operational overhead.

Environment:

AWS (EKS, EC2, S3, Lambda, CloudWatch), Azure (AKS, Functions, Blob Storage), Kubernetes, Docker, Helm, Terraform, GitHub Actions, AWS Code Pipeline, Jenkins, Python, Node.js, Express.js, React.js, Redux, HTML5, CSS3, PostgreSQL, MongoDB, Redis, Apache Kafka, ELK Stack (Elasticsearch, Logstash, Kibana), Prometheus, Grafana, OAuth2, JWT, RBAC, API Gateway, Agile/Scrum

AT&T, Full Stack Developer, India May 2019 – Dec 2022

Project Description:

Developed a scalable telecom customer management and rewards platform to support billing, usage tracking, and real-time reward processing for a large user base. Built backend microservices using Node.js and Express to handle customer data, billing workflows, and secure REST API integrations with internal and partner systems. Deployed applications on Azure cloud using Functions and API Management, and containerized services using Docker with Kubernetes (AKS) to ensure scalability and high availability. Implemented CI/CD pipelines using Azure DevOps, Jenkins, and GitHub Actions to automate build, testing, and deployment across environments. Designed and optimized databases using PostgreSQL and MongoDB to manage high-volume customer and transaction data efficiently. Implemented event-driven architecture using Apache Kafka to process real-time billing events, usage notifications, and reward updates. Developed React-based dashboards and integrated monitoring using Azure Monitor and ELK stack to improve observability, troubleshoot production issues, and maintain system reliability.

Designed and developed backend microservices using Node.js and Express to handle customer account management, billing workflows, and reward processing, ensuring scalable and modular architecture.

Built and exposed secure REST APIs for internal systems and partner integrations, implementing authentication and authorization using OAuth2, JWT, and API Management policies.

Deployed applications on Azure cloud using Functions and API Management, and containerized services using Docker with Kubernetes (AKS) to support scalable and highly available production environments.

Implemented CI/CD pipelines using Azure DevOps, Jenkins, and GitHub Actions to automate code integration, testing, and deployment across multiple environments.

Designed and optimized database schemas in PostgreSQL and MongoDB, improving performance for high-volume customer data, billing transactions, and reward processing.

Implemented event-driven architecture using Apache Kafka to process real-time billing events, usage notifications, and reward updates, improving system responsiveness and data consistency.

Developed responsive frontend components using React and Redux to provide dashboards for account insights, usage tracking, and personalized reward recommendations.

Integrated monitoring and logging using Azure Monitor and ELK stack to track system performance, analyze logs, and troubleshoot production issues efficiently.

Collaborated with DevOps, QA, and product teams to resolve production issues, optimize system performance, and implement automation strategies to improve reliability and reduce operational overhead.

Environment:

Azure (Functions, API Management, Blob Storage, Azure Monitor), Kubernetes (AKS), Docker, GitHub Actions, Azure DevOps, Jenkins, Node.js, Express.js, React.js, Redux, HTML5, CSS3, PostgreSQL, MongoDB, Redis, Apache Kafka, ELK Stack (Elasticsearch, Logstash, Kibana), OAuth2, JWT, API Management, Agile/Scrum

EDUCATION

Master of Information Studies

Trine University, Angola, IN

Bachelor’s in information technology

Malla Reddy College of Engineering and Technology, India

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