Seasoned Software Engineer with Cloud & Microservices Expertise

Shivani Atukuri

+1-518-***-**** ***************@*****.*** www.linkedin.com/in/shivanichowdary

Summary

Seasoned Software Development Engineer with over 4 years of industry experience, adept in developing and optimizing web applications and distributed systems using frameworks like Vue.js and React.js. Proficient in Java, Kotlin, JavaScript, Typescript, node.js, and react. Strong experience in SDLC, STLC, and Bug Life Cycle, with extensive use of automation tools like Selenium, Playwright, Cucumber, and Cypress. Well-versed in Agile methodologies, AWS Lambda, and developing Java-based Microservices with Spring Boot Auth Server and JWT tokens. Skilled in optimizing code and enhancing application performance. Experienced in CI/CD practices using Jenkins, Python, Java, Kotlin, SQL, and various AWS services including DynamoDB (DDB) and EC2. Demonstrates robust problem-solving and customer engagement skills, with a keen ability to assimilate new technologies and apply them for superior outcomes.

Skills

• Programming Languages: Core Java, Java 8, Java 11, Python, Kotlin, C#, SQL

• Web Development: HTML, CSS, JavaScript, Typescript, XML, XSLT, AJAX, jQuery, Bootstrap, Vue.js, React.js, Servlets, JSP, JavaBeans, JDBC

• Development Methodologies: Agile, Waterfall, SDLC, STLC, Kanban, Scrum-ban.

• Frameworks: Spring MVC, JDBC, Mockito, Hibernate, Angular, ASP.NET, Spring Boot, Microservices

• IDEs: NetBeans, IntelliJ IDEA, Eclipse, Visual Studio Code

• Design and Development Tools: UML, MS Visio, Maven, Gradle, JUnit, Jenkins

• Application Servers: Apache Tomcat, AWS, WebLogic, WebSphere, JBoss

• Databases & Storage: MySQL, NoSQL, Amazon RDS, DynamoDB, Elasticsearch, MongoDB, Cassandra, SSMS

• Cloud and Containerization: AWS EC2, ECS, SQS, SNS, S3, CloudWatch, Lambda, GCP, BigQuery, Pub/Sub, GKE, Cloud Storage, Dataflow, Dataproc, Cloud Functions, Secrets Manager, API Gateway, Docker, Kubernetes,

• Big Data and Analytics: Spark, Kafka, Apache Kafka, Amazon Quick Sight

• Source Control: TFS, Git, GitHub

• Operating Systems: Windows, iOS, MAC-OS, Linux

• Testing Tools: Selenium IDE, Web Driver, Playwright, Cucumber, Cypress

• Monitoring and Deployment: Service Reliability Engineering (SRE) Practices, Automated Deployment Scripts, CI/CD Pipelines

• Technical Documentation: Business requirements documentation, Status reports, Process flows

• Project Management: AWS-Evidently, AWS-EC-2, AWS-Sam CLI, AWS-Brazil-CLI, SCCM, SCUP

• Other Skills: Manual Testing, Bash scripting, Node.js, Azure development, EJB, JMS, JSTL, JNDI, JSE

• Computer Science Fundamentals: Data Structures, Algorithms Work Experience

Walgreens TX

Software Development Engineer Jan 2024 – Present

• Built and enhanced the MyBoost/AWSBoost platform to orchestrate datacenter parts lifecycle leveraging Java, Spring Boot, and React.js/TypeScript, improving technician productivity and reducing delays in hardware operations by 25%.

• Automated internal administrative processes and workflows using AWS Lambda, significantly reducing manual interventions and enhancing operational efficiency.

• Architected and implemented a robust microservices architecture using Java JDK and Scala, integrating seamlessly with Oracle databases. Developed RESTful APIs for technician preferences and part recommendations, leveraging advanced API Gateway configurations.

• Built and integrated machine learning models using Amazon Sage Maker for generating personalized part recommendations. Implemented data pipelines to collect and analyze user interaction data, continuously refining the accuracy of the recommendations.

• Designed and developed an email engine service from the ground up, utilizing AWS SES and SNS for automated notifications and communications within the Data center system.

• Utilized advanced monitoring and logging tools such as Grafana, Prometheus, and ELK stack (Elasticsearch, Logstash, Kibana) to ensure high system availability, resilience, and performance. Identified and resolved critical performance bottlenecks, achieving a 35% improvement in service response times.

• Built and maintained sophisticated CI/CD pipelines using Jenkins and GitHub Actions, integrating Docker and Kubernetes for automated container orchestration. Achieved a 50% reduction in deployment times and enhanced scalability.

• Conducted comprehensive testing using a suite of tools, including JUnit, Mockito, Selenium WebDriver, Playwright, Cucumber, and Cypress, ensuring high-quality software releases. Participated actively in peer code reviews and Agile Scrum ceremonies to maintain coding standards and best practices.

• Managed and optimized extensive databases including MySQL, NoSQL, Amazon RDS, DynamoDB, and Elasticsearch. Utilized Amazon Quick Sight for creating insightful data visualizations and business intelligence reports.

• Implemented robust security measures using Spring Boot Auth Server with JWT tokens for OAuth2 Authentication and Authorization. Enhanced data security by supporting Java Cryptology Extensions (JCE) Cipher class API for secure data transactions.

• Created and maintained comprehensive technical documentation, including High-Level Designs (HLDs), Low-Level Designs (LLDs), runbooks, and detailed process flows. Authored and documented key architectural decisions through Architectural Decision Records (ADRs), promoting transparent and traceable decision-making processes.

• Led the design and development of key projects for MyDay, protons team, significantly enhancing internal workflows and transfer processes. Coordinated effectively with cross-functional teams to ensure project alignment and successful delivery.

• Developed robust tools for monitoring complex systems and managing high-volume transactions, achieving a 25% reduction in system downtime. Applied advanced DevOps techniques for system automation, improving incident response metrics.

• Optimized SQL queries, resulting in improved database performance and faster data retrieval times. Implemented AWS CloudFront as a Content Delivery Network (CDN) for globally enhanced content delivery and improved load times.

• Executed efficient background processing using AWS services, improving system scalability and reducing processing times for asynchronous tasks.

John Deere India

Software Engineer June 2021 - July 2023

• Developed payment microservices in Java/Spring Boot for checkout, capture, refunds, and settlements, improving transaction reliability with idempotency keys and retry logic.

• Integrated with external payment gateways and banking partners using signed REST webhooks, implementing HMAC verification, exponential backoff, and dead-letter queues to handle failures gracefully.

• Designed and optimized a transaction ledger in Cloud SQL (MySQL/Postgres), tuning indexes and queries to ensure consistent balances and faster statement views for millions of users.

• Built a reconciliation pipeline on GCP using Pub/Sub + backend jobs to cross-check gateway files with internal ledgers, automatically flagging mismatches and generating finance review tasks.

• Published key business and operational events (order paid, refund issued, settlement posted) to Google Pub/Sub, enabling downstream systems like invoicing, notifications, and analytics to consume them in near real-time.

• Implemented BigQuery-based analytics pipelines to track payment success rates, latency, chargebacks, and aging balances, delivering weekly dashboards that improved finance decision-making.

• Created AngularJS UI screens for wallets, credits, saved instruments, and transaction history, adding form validation and REST-based live status updates for a smoother customer experience.

• Containerized microservices with Docker and deployed them on Google Kubernetes Engine (GKE), ensuring scalability and consistent environment parity.

• Automated CI/CD pipelines in Jenkins, integrating unit tests, config-based deployments, and rollback strategies across multiple environments.

• Established monitoring and alerting through Stackdriver (Cloud Monitoring/Logging), creating dashboards for latency and success rate; handled on-call rotations, led RCAs, and reduced time-to-recover from payment incidents.

• Secured sensitive payment flows by applying OAuth2/JWT, tokenization, and GCP Secrets Manager, enforcing least privilege access for APIs and integrations with external banking systems. Education

University At Albany

Master of Science, Computer Science Aug 2023 – May 2025 Jain-Deemed University

Bachelor of Technology, Computer Science Aug 2019 – May 2023

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