Stack Developer Engineer

Sai Krishna Golla

Email: ***************@*****.***

Mobile: +1-813-***-****

Java Full Stack Engineer

PROFESSIONAL SUMMARY:

Full Stack Developer with 4+ years of experience in cloud solutions, applying an analytical mindset to develop and maintain AI-based products using rapid prototyping development approaches.

Designed and developed user-centric interfaces for AI-backed web and mobile applications using JavaScript, HTML, CSS, and React, ensuring intuitive designs and effective communication outreach.

Proficient in Agile methodologies, contributing to open-source projects and nonprofit consultations, explaining technical concepts with empathy and clarity to equip partners with data solutions.

Expertise in building CI/CD pipelines using GitHub Actions and Jenkins, ensuring high-quality work output and automated testing for reliable and scalable cloud-based solutions.

Strong command of container technologies using Docker and orchestration with Kubernetes (EKS/GKE), ensuring high availability and scalability of backend services under heavy loads.

Integrated authentication via Spring Security to enforce robust role-based access controls across internal applications and external-facing APIs, ensuring the safety of end products.

Built high-performance caching solutions using Redis and Ehcache, reducing response times and offloading heavy read operations from backend databases in high-traffic environments.

Solid experience in SQL and NoSQL databases including PostgreSQL, MySQL, and MongoDB, with a focus on schema design, query optimization, and ACID-compliant data transactions.

Delivered real-time data pipelines using Kafka and RabbitMQ, enabling asynchronous processing, log aggregation, distributed messaging, and microservice decoupling at scale.

Extensive hands-on experience with AWS (EC2, S3, Lambda, RDS) and GCP (Cloud Run, Pub/Sub, Firebase) for cloud-native deployments, monitoring, and serverless function implementations.

Implemented unit and integration test suites with JUnit, Mockito, REST Assured, and Spring Test, achieving 90%+ code coverage and maintaining system reliability through regression testing.

Built ELK stack and Prometheus/Grafana dashboards to enable full-stack observability, error tracking, and proactive system monitoring across all application tiers.

Authored detailed Swagger/OpenAPI specifications and Postman collections for seamless API documentation, onboarding, and third-party integrations with robust versioning support.

Worked closely with cross-functional teams, including product managers, QA, and DevOps, to translate requirements into production-ready features delivered within agile timelines. TECHNICAL SKILLS:

Languages - Java, JavaScript, TypeScript, SQL, HTML, CSS, Python

Frameworks - Spring Boot, Hibernate, Angular, React, React Native

Databases - MySQL, PostgreSQL, MongoDB, DynamoDB

Cloud - Google Cloud Platform (GCP), AWS

DevOps - Jenkins, Docker, Kubernetes, GitHub Actions, Terraform

Tools - Maven, Gradle, JIRA, Postman, Swagger, Git, Figma

CI/CD - GitHub Actions, Jenkins, GCP Cloud Build

Web Services - RESTful APIs, JSON, XML, OAuth2

Monitoring - ELK Stack, Prometheus, Grafana

Prototyping - Low-Fidelity (LoFI) wireframes, High-Fidelity (HiFi) wireframes PROFESSIONAL EXPERIENCE:

JP Morgan Chase Sep 2024 – Present

Software Engineer - Java Backend

Responsibilities:

Contributed to the development of AI-based products by designing and implementing Spring Boot microservices for secure financial transactions, ensuring high-quality work output and cloud deployment readiness across environments. This involved collaborative development with cross-functional teams.

Developed Kafka-based messaging systems for real-time account updates, enabling asynchronous event handling and improving microservice communication layers, aligning with the rapid prototyping development approach and infrastructure needs. This improved overall system performance.

Migrated SOAP services to REST APIs, enhancing system interoperability and accelerating onboarding for downstream applications, while ensuring the reliability, safety, and scalability of the end products and solutions. This improved overall system performance.

Built serverless workflows using GCP Cloud Functions, Pub/Sub, and Scheduler to support automated reconciliations and reporting pipelines, contributing to the vision and execution of product architecture and infrastructure deployment strategies. This improved overall system performance.

Integrated Jenkins and GitHub into CI/CD pipelines for automated building, security scanning, and deployment of production-ready Java containerized services, ensuring effective communication with cross- functional teams and high performance in delivery. This improved overall system performance.

Developed comprehensive test suites using JUnit, Mockito, and Spring Test to ensure functional correctness and integration reliability, contributing to open source projects and ensuring the reliability, safety, and scalability of the end products. This improved overall system performance.

Created GCP Cloud Tasks for scheduling background jobs such as retries and report dispatching, understanding end-user needs and requirements to design and develop applications that effectively address challenges within the sector. This improved overall system performance.

Built Angular-based internal dashboards by consuming secured REST endpoints to display API performance metrics and transaction statuses, ensuring effective communication with cross-functional teams and high performance in delivery. This improved overall system performance.

Deployed Docker-based Java applications into GKE clusters using Helm charts and autoscaling rules for efficient container orchestration, contributing to the vision and execution of product architecture and infrastructure deployment strategies. This improved overall system performance.

Participated in Agile ceremonies and coordinated with QA and business teams for sprint deliverables, ensuring effective communication with cross-functional teams and high performance in delivery and ensuring the reliability, safety, and scalability of the end products. This improved overall system performance. Amazon Jul 2020 – Aug 2023

Backend Engineer (Java)

Responsibilities:

Developed scalable RESTful APIs and Spring Boot microservices to streamline internal operations and logistics workflows, supporting integration across platforms in a distributed system, aligning with the rapid prototyping development approach. This improved overall system performance.

Refined microservice architecture by participating in technical design reviews and implementing domain- driven design (DDD), improving modularity and extensibility of backend components, contributing to the vision and execution of product architecture. This improved overall system performance.

Containerized Java applications using Docker and deployed to Kubernetes clusters, managing Helm charts and autoscaling to optimize compute efficiency, ensuring the reliability, safety, and scalability of the end products and solutions. This improved overall system performance.

Automated CI/CD pipelines using Jenkins and GitLab CI, incorporating test execution and secure artifact deployment to streamline development lifecycle, ensuring effective communication with cross-functional teams and high performance in delivery. This improved overall system performance.

Collaborated with SRE and DevOps teams to troubleshoot infrastructure issues and perform health monitoring using Prometheus, understanding end-user needs and requirements to design and develop applications that effectively address challenges within the sector. This improved overall system performance.

Created integration tests with JUnit, Mockito, and REST Assured to validate service reliability and API contract adherence, contributing to open source projects and ensuring the reliability, safety, and scalability of the end products. This improved overall system performance.

Tuned PostgreSQL and MySQL databases by refactoring stored procedures and optimizing join strategies to reduce average query latency, contributing to the vision and execution of product architecture and infrastructure deployment strategies. This improved overall system performance.

Applied caching mechanisms using Redis and local in-memory stores to offload frequent queries and decrease API response time, ensuring effective communication with cross-functional teams and high performance in delivery and ensuring the reliability, safety, and scalability of the end products. This improved overall system performance.

Conducted peer code reviews and refactored legacy modules using modern Java 11+ features, improving code maintainability and readability, aligning with the rapid prototyping development approach and infrastructure needs. This improved overall system performance.

Designed Kafka-based messaging pipelines for asynchronous processing of large event streams, decoupling services and enabling fault-tolerant data delivery across the system, aligning with the rapid prototyping development approach. This improved overall system performance. Educational Details:

Master's in Computer and Information Science - Saint Leo University Bachelor's in Information Technology - Osmania University

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