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Sony Harshitha Avula is a Full-Stack Software Engineer with over four years of experience designing and delivering scalable, high-performance software across the complete SDLC. She specializes in React, Node.js, Java Spring Boot, and Go, with deep expertise in cloud-native architectures, DevOps automation, and distributed systems. At McKinsey & Company, she builds resilient microservices and serverless architectures on AWS, leveraging technologies such as Lambda, EC2, and S3 to deliver highly available systems capable of processing 25K+ requests per second. Her work on performance optimization, observability (Splunk, CloudWatch), and data pipelines (Athena, PostgreSQL, MySQL) has driven measurable gains in reliability and scalability. Previously at Optum (UnitedHealth Group), Harshitha engineered a large-scale AI chatbot platform that enhanced customer service operations for 10,000+ users daily. She led key initiatives to migrate 40+ microservices to cloud infrastructure using Terraform, Jenkins, Docker, and Kubernetes, achieving a 51% cost reduction and enabling zero-downtime deployments. Earlier at Avenir Technologies, she developed high-performance backend systems using Django, FastAPI, and React, implementing caching, CI/CD pipelines, and real-time monitoring with Prometheus and Grafana. An advocate for technical excellence and collaboration, Harshitha thrives in Agile environments, seamlessly bridging front-end experiences with back-end scalability. She holds a Master’s in Computer Science from the University of Central Missouri (GPA 3.9) and is an AWS Certified Developer – Associate.…Sony Harshitha Avula is a Full-Stack Software Engineer with over four years of experience designing and delivering scalable, high-performance software across the complete SDLC. She specializes in React, Node.js, Java Spring Boot, and Go, with deep expertise in cloud-native architectures, DevOps automation, and distributed systems. At McKinsey & Company, she builds resilient microservices and serverless architectures on AWS, leveraging technologies such as Lambda, EC2, and S3 to deliver highly available systems capable of processing 25K+ requests per second. Her work on performance optimization, observability (Splunk, CloudWatch), and data pipelines (Athena, PostgreSQL, MySQL) has driven measurable gains in reliability and scalability. Previously at Optum (UnitedHealth Group), Harshitha engineered a large-scale AI chatbot platform that enhanced customer service operations for 10,000+ users daily. She led key initiatives to migrate 40+ microservices to cloud infrastructure using Terraform, Jenkins, Docker, and Kubernetes, achieving a 51% cost reduction and enabling zero-downtime deployments. Earlier at Avenir Technologies, she developed high-performance backend systems using Django, FastAPI, and React, implementing caching, CI/CD pipelines, and real-time monitoring with Prometheus and Grafana. An advocate for technical excellence and collaboration, Harshitha thrives in Agile environments, seamlessly bridging front-end experiences with back-end scalability. She holds a Master’s in Computer Science from the University of Central Missouri (GPA 3.9) and is an AWS Certified Developer – Associate.

Harshitha A

Full Stack Developer, Web Developer, Back-End Developer, +4

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Sony Harshitha Avula is a Full-Stack Software Engineer with over four years of experience designing and delivering scalable, high-performance software across the complete SDLC. She specializes in React, Node.js, Java Spring Boot, and Go, with deep expertise in cloud-native architectures, DevOps automation, and distributed systems. At McKinsey & Company, she builds resilient microservices and serverless architectures on AWS, leveraging technologies such as Lambda, EC2, and S3 to deliver highly available systems capable of processing 25K+ requests per second. Her work on performance optimization, observability (Splunk, CloudWatch), and data pipelines (Athena, PostgreSQL, MySQL) has driven measurable gains in reliability and scalability. Previously at Optum (UnitedHealth Group), Harshitha engineered a large-scale AI chatbot platform that enhanced customer service operations for 10,000+ users daily. She led key initiatives to migrate 40+ microservices to cloud infrastructure using Terraform, Jenkins, Docker, and Kubernetes, achieving a 51% cost reduction and enabling zero-downtime deployments. Earlier at Avenir Technologies, she developed high-performance backend systems using Django, FastAPI, and React, implementing caching, CI/CD pipelines, and real-time monitoring with Prometheus and Grafana. An advocate for technical excellence and collaboration, Harshitha thrives in Agile environments, seamlessly bridging front-end experiences with back-end scalability. She holds a Master’s in Computer Science from the University of Central Missouri (GPA 3.9) and is an AWS Certified Developer – Associate.…Sony Harshitha Avula is a Full-Stack Software Engineer with over four years of experience designing and delivering scalable, high-performance software across the complete SDLC. She specializes in React, Node.js, Java Spring Boot, and Go, with deep expertise in cloud-native architectures, DevOps automation, and distributed systems. At McKinsey & Company, she builds resilient microservices and serverless architectures on AWS, leveraging technologies such as Lambda, EC2, and S3 to deliver highly available systems capable of processing 25K+ requests per second. Her work on performance optimization, observability (Splunk, CloudWatch), and data pipelines (Athena, PostgreSQL, MySQL) has driven measurable gains in reliability and scalability. Previously at Optum (UnitedHealth Group), Harshitha engineered a large-scale AI chatbot platform that enhanced customer service operations for 10,000+ users daily. She led key initiatives to migrate 40+ microservices to cloud infrastructure using Terraform, Jenkins, Docker, and Kubernetes, achieving a 51% cost reduction and enabling zero-downtime deployments. Earlier at Avenir Technologies, she developed high-performance backend systems using Django, FastAPI, and React, implementing caching, CI/CD pipelines, and real-time monitoring with Prometheus and Grafana. An advocate for technical excellence and collaboration, Harshitha thrives in Agile environments, seamlessly bridging front-end experiences with back-end scalability. She holds a Master’s in Computer Science from the University of Central Missouri (GPA 3.9) and is an AWS Certified Developer – Associate.

Available to hire

Sony Harshitha Avula is a Full-Stack Software Engineer with over four years of experience designing and delivering scalable, high-performance software across the complete SDLC. She specializes in React, Node.js, Java Spring Boot, and Go, with deep expertise in cloud-native architectures, DevOps automation, and distributed systems.

At McKinsey & Company, she builds resilient microservices and serverless architectures on AWS, leveraging technologies such as Lambda, EC2, and S3 to deliver highly available systems capable of processing 25K+ requests per second. Her work on performance optimization, observability (Splunk, CloudWatch), and data pipelines (Athena, PostgreSQL, MySQL) has driven measurable gains in reliability and scalability.

Previously at Optum (UnitedHealth Group), Harshitha engineered a large-scale AI chatbot platform that enhanced customer service operations for 10,000+ users daily. She led key initiatives to migrate 40+ microservices to cloud infrastructure using Terraform, Jenkins, Docker, and Kubernetes, achieving a 51% cost reduction and enabling zero-downtime deployments.

Earlier at Avenir Technologies, she developed high-performance backend systems using Django, FastAPI, and React, implementing caching, CI/CD pipelines, and real-time monitoring with Prometheus and Grafana.

An advocate for technical excellence and collaboration, Harshitha thrives in Agile environments, seamlessly bridging front-end experiences with back-end scalability. She holds a Master’s in Computer Science from the University of Central Missouri (GPA 3.9) and is an AWS Certified Developer – Associate.

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Work Experience

Software Engineer at McKinsey & Company

February 1, 2025 - Present

Designed and implemented microservices architecture using Java Spring Boot on AWS (Lambda, EC2, S3), improving system throughput and resource utilization; developed RESTful APIs and UI with React/Redux; integrated Splunk dashboards for observability; automated monitoring with CloudWatch, increasing uptime to 99.9%.

Software Engineer at United Health Group (Optum)

July 1, 2023 - October 15, 2025

Contributed to the AVA Chatbot web application SDLC; implemented scalable backend with Go and Node.js; optimized data handling with PostgreSQL and Redis; built a responsive UI with ReactJS, Angular.js, Next.js, and Tailwind CSS; resolved defects with Jest and Cypress; led code reviews and migrated 40+ microservices to a cloud-native architecture reducing cloud costs by 51%.

Associate Software Engineer at Avenir Technologies

July 1, 2022 - October 15, 2025

Developed high-performance backend using Spring Boot and Spring MVC with Redis caching; designed microservices with Spring Boot and React on AWS; built responsive UI with React; implemented CI/CD with Jenkins, Docker, and Terraform; monitored with Prometheus and Grafana; secured APIs with Spring Security, JWT and OAuth2.

Software Engineer at McKinsey & Company

February 1, 2025 - Present

Designed and implemented microservices architecture using Java Spring Boot on AWS (Lambda, EC2, S3), improving system throughput by 25K+ requests per second, ensuring optimal resource utilization. Developed and optimized RESTful APIs, reducing latency and increasing data retrieval speed by 30%. Built responsive, dynamic user interfaces using React and Redux, reducing feature delivery time by 35%. Integrated Splunk for centralized log management with custom dashboards, cutting issue resolution time by 30% and improving observability. Leveraged AWS Athena and S3 for serverless data analysis, reducing manual processing by 25 hours per month. Automated application monitoring with AWS CloudWatch, improving uptime from 97% to 99.9%. Optimized MySQL and PostgreSQL databases with indexing and caching to reduce resource usage by 25%.

Software Engineer at United Health Group (Optum)

July 31, 2023 - October 27, 2025

Contributed to the AVA Chatbot web application, driving enterprise chatbot solutions for enhanced customer support. Improved collaboration by integrating iterative feedback to reduce recurring tickets by over 1000 per month. Developed a highly responsive UI with ReactJS, Angular.js, Next.js, and Tailwind CSS. Implemented scalable backends with Go and Node.js, optimized data handling with PostgreSQL and Redis caching for 10,000+ daily users. Resolved 95% of defects within sprints via root-cause analysis and automated tests (Jest, Cypress). Led migration of 40+ microservices to a cloud-native architecture using Terraform and CI/CD pipelines (GitHub, Jenkins) with Docker and Kubernetes, achieving a 51% reduction in cloud costs. Upgraded MongoDB to Cosmos DB, shortening peak outage duration from 45 minutes to under 25 minutes. Built real-time event streaming pipelines with Apache Kafka for asynchronous communication (50K+ daily interactions). Improved RESTful and GraphQL API endpoints thro

Associate Software Engineer at Avenir Technologies

July 31, 2022 - October 27, 2025

Developed high-performance backend systems using Spring Boot and Spring MVC with Redis caching, delivering a 40% improvement in data retrieval speed. Designed microservices with Spring Boot and React, deployed on AWS (EC2, S3, DynamoDB) to scale traffic 3x. Built responsive web apps with HTML5, Bootstrap, and React with WCAG accessibility. Integrated CI/CD pipelines with Jenkins, Docker, and Terraform, lowering release costs by 18%. Implemented monitoring with Prometheus and Grafana, reducing downtime. Optimized frontend performance via lazy loading, memoization, and code splitting (25% lower client-side resource usage). Implemented Spring Security, JWT, and OAuth2 for secure APIs. Collaborated in Agile teams using Jira for sprint planning and defect tracking, achieving 95% on-time delivery. Projects included RECURPAY — a full-stack subscription app using MongoDB, ExpressJS, React, Redux, NodeJS with Stripe integration and real-time webhooks; created reusable UI components reducing 6

Software Engineer at McKinsey & Company

February 1, 2025 - November 3, 2025

Designed and implemented microservices architecture using Java Spring Boot on AWS (Lambda, EC2, S3), improving system throughput by 25K+ requests per second and ensuring optimal resource utilization. Developed and optimized RESTful APIs, reducing latency and increasing data retrieval speed by 30%. Built responsive user interfaces with React and Redux, delivering feature-rich dashboards and improving cross-platform performance. Integrated Splunk for centralized log management, creating custom dashboards to track KPIs and reduce issue resolution time. Leveraged AWS Athena and S3 for serverless data analysis, cutting manual processing effort by 25 hours per month. Automated application monitoring with AWS CloudWatch, improving uptime from 97% to 99.9%. Optimized database queries on MySQL and PostgreSQL with indexing and caching, reducing resource usage by 25% and speeding data access.

Software Engineer at United Health Group (Optum)

July 1, 2023 - July 1, 2023

Contributed to the AVA Chatbot web application across engineering teams, driving enterprise chatbot solutions for customer support. Implemented a highly responsive UI using ReactJS, Angular.js, Next.js, and Tailwind CSS, improving usability and performance. Built a scalable backend with Go and Node.js, improving modularity and throughput. Optimized data handling with PostgreSQL and Redis caching to support 10,000+ daily users. Resolved 95% of defects within a sprint by root-cause analysis and automated tests (Jest, Cypress). Accelerated development with GitHub Copilot for prototyping and enforced code quality through proactive reviews. Migrated 40+ microservices to a cloud-native architecture using Terraform, CI/CD (Jenkins, GitHub) and Blue-Green Deployment with Docker and Kubernetes, reducing cloud costs by 51% and enabling zero-downtime scaling. Upgraded database from MongoDB to Cosmos DB, improving replication fault tolerance and reducing outage duration. Built real-time event stre

Associate Software Engineer at Avenir Technologies

July 1, 2022 - July 1, 2022

Developed high-performance backend systems with Python (Django, Django REST Framework, FastAPI) handling 1,000+ concurrent users, using Redis caching and database optimizations to reduce response times by 40%. Designed and implemented microservices on AWS (EC2, S3, DynamoDB), enabling seamless scalability to handle rising traffic. Built responsive, WCAG-compliant front-ends with React and Vue, ensuring broad device compatibility. Implemented CI/CD pipelines with Jenkins, Docker, and Terraform, reducing release costs by 18%. Implemented monitoring with Prometheus and Grafana for real-time AWS performance tracking, and created custom alerts to reduce downtime. Optimized front-end performance with lazy loading and code splitting, reducing client-side resource usage by 25%. Integrated JWT/OAuth2-based authentication in Django to secure APIs. Collaborated in Agile teams using Jira for sprint planning, achieving 95% on-time delivery and resolving high-priority issues within SLAs.