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Senior Software Engineer and Technical Lead

Location:
Herndon, VA
Posted:
April 23, 2026

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Resume:

SANGEETHA RAMTENKI

+1-816-***-**** *******.********@*****.*** LinkedIn Herndon, VA 20171

SUMMARY OF EXPERIENCE

• Senior Software Engineer and Technical Lead with almost 8 years of experience architecting high-availability systems and leading teams in the delivery of mission-critical ITS features and ETC solutions.

• Proficient in database management, working with both relational and non-relational databases such as SQL, NoSQL, Oracle, and adept in ORM technologies like JPA and Hibernate.

• Expertise in API development with a focus on RESTful APIs and building microservices architectures, ensuring scalability, maintainability, and seamless integration with external systems.

• Strong background in cloud platforms like Azure, AWS and a solid understanding of DevOps tools and CI/CD pipeline concepts to streamline deployment processes and improve productivity.

• Demonstrates a deep understanding of foundational Computer Science concepts, including data structures, algorithms, networking protocols

(TCP/IP, GRPC), and system design.

• Subject Matter Expert in Embedded Integration and Cloud Orchestration, with a proven track record of managing full-cycle SDLC for complex, large-scale distributed systems.

• Proficient in DevOps and containerization tools such as Docker, Kubernetes, and experienced in continuous integration and deployment pipelines to achieve efficiency and automation.

• Managed a team of developers to deliver mission-critical ITS projects features, overseeing strategic system design, code reviews, and the integration of hardware-software protocols.

• Known for a growth-oriented mindset and a passion for implementing innovative solutions that enhance system improvement and scalability, with exceptional communication skills to collaborate across teams, present ideas clearly, and engage stakeholders for successful outcomes. TECHNICAL SKILLS

• Languages: C++, YAML, Python, C#, Golang, PL/SQL, Batch, TypeScript, SQL, JavaScript, R, Java, PowerShell

• Web Technologies: HTML5, CSS, XML, JS, jQuery, Node.js, React, Angular, MVC Framework, Vue.js, JSON

• Databases: MYSQL, Oracle, MongoDB, Redis, Postgres, Big Query, Azure Cosmos DB, Azure SQL

• Data Analysis & OS: Looker, Tableau Server, Power BI, Qlik Sense & Linux, Unix, Windows, Ubuntu

• Cloud Technologies: GCP, Google cloud data flow, Google Pub/Sub, AWS, Azure Functions and service Bus

• SW Dev & Prgm Frameworks: .NET, ASP.NET, MVC, MVVM, Spring Boot, Hibernate, JPA2, Django, Nest.js

• Comm Protocols & Networking: TCP/IP, UART, SPI, I2C, GRPC, REST APIs, Secure FTP, JWT

• Embedded Systems & IoT Technologies: RTOS, RFID, Multi-threaded Socket Programming, MQTT Protocol

• Tools & DevOps: Docker, Kubernetes, Jenkins, GitHub, Git, SonarQube, SVN, Jira, Zephyr, Postman, Artifactory

• Others: ETL, Microservices, Design Patterns, TDD, BDD, Spark, Excel, DNS, VS Code, JSON PROFESSIONAL EXPERIENCE

Senior Software Engineer (Transurban USA Inc, Alexandria, Virginia, USA) April 2024 – Present Skills: Python TCP/IP Sockets MYSQL Agile RESTful APIs FTP RFID Embedded Systems Azure .NET

• Architected and scaled high-availability Electronic Toll Collection (ETC) systems across 100+ points, optimizing SQL/NoSQL and Google Spanner databases for high-traffic data processing.

• Spearheaded the engineering of low-level drivers and firmware interfaces for ALPR cameras (Tattile/JAI) and RFID transponders, utilizing socket programming for real-time hardware synchronization.

• Orchestrated the deployment of containerized microservices using Docker, Kubernetes, and Helm, ensuring secure cloud-to-edge integration and automated system health monitoring via Azure.

• Managed a team of engineers to deliver MVP of the project, code reviews, and the integration of hardware-software protocols.

• Integrated & maintained support for multiple types of cameras and communication protocols, ensuring seamless compatibility across systems.

• Added robust security mechanisms to secure comm between the system & devices, protecting sensitive data and ensuring data integrity.

• Implemented diagnostic tools and configured Kusto logging dashboards for monitoring system health, enabling faster root cause analysis of camera and RFID reader communications.

• Led the development of a React-based internal dashboard for real-time visualization and monitoring of ALPR and RFID data across multiple toll points, improving diagnostics and operational insights.

• Integrated .NET Core RESTful APIs into the ITS pipeline, enabling secure and scalable exposure of toll transaction data to cloud-based monitoring tools.

• Deployed backend services using Azure App Services, Kubernetes, and Helm, ensuring high availability, scalability, and secure data flow via Azure Blob Storage and Azure SQL.

• Designed and optimized Kusto queries (KQL) in Azure Data Explorer to analyze high-volume telemetry data, improving real-time monitoring and decision-making.

• Implemented asynchronous .NET Core services using Task Parallel Library (TPL) and async/await to improve throughput and scalability of ALPR and RFID data processing.

• Built resilient HTTP clients with retry and circuit breaker patterns to ensure reliable API integration in high-volume environments.

• Optimized backend services with Redis caching, load balancing, and code refactoring to enhance performance and handle traffic spikes across multiple toll points.

Student Engineer (University of Missouri Kansas City, Kansas City, MO, USA) Aug 2022 – Mar 2024 Skills: SQL Server Oracle ASP.NET Angular React Agile .NET C# C++ Java

• As Student DBA, designed/implemented a new module for tracking student enrollment and reduced data entry errors by 90%.

• Successfully led the migration of legacy student records from an outdated system to the new database, preserving data integrity and accuracy.

• Developed a secure student portal using .NET Core backend and React frontend, facilitating student enrollment, performance visualization, and authentication using OAuth.

• Deployed academic analytics dashboards and backend microservices on Azure Cloud, utilizing Azure Functions and SQL Database to process and serve high-volume student data for advisors.

• Developed cloud-native academic analytics pipelines using Azure Functions and Azure Service Bus for event-driven data ingestion.

• Built dashboards using Kusto Explorer to monitor SQL and Cosmos DB workloads, enabling better resource optimization.

• Proficiently operated Linux servers for data processing, form generation, and adeptly leveraged Python for automation purposes.

• Researched on different sensors available for tracking the location of the items in indoor and outdoor environments.

• Designed and executed comprehensive testing procedures to validate the performance and reliability of the indoor localization system.

• Conducted extensive research to identify the most suitable algorithms for accurate positioning and tracking within indoor environments.

• Experienced in integrating third-party APIs and implementing OAuth-based authentication systems to enhance security and usability.

• Designed a data visualization dashboard for performance metrics using Tableau, delivering actionable insights to stakeholders. Software Engineer I (NCR Corporation India Pvt Ltd, Hyderabad, India) Oct 2020 – Jul 2022 Skills: .NET Java C# Go Lang MYSQL Server Agile Jenkins React JS Microservices Docker Azure

• Worked on Edge Data service application, added transport layer security for secure client and server communications.

• Built interactive admin interfaces using React and Redux for managing product inventory and live logs of Walmart self-checkout systems, enhancing system usability for store operators.

• Designed and deployed scalable .NET Core microservices on Azure Kubernetes Service (AKS) to handle high-volume transactional data from retail POS systems across global NCR clients.

• Orchestrated scalable .NET Core microservices on Azure Kubernetes Service (AKS), automating CI/CD pipelines to handle high-volume transactional data for global retail POS systems.

• Utilized Azure DevOps for CI/CD pipelines, automating testing and deployment of containerized backend and frontend applications, improving release frequency by 40%.

• Reengineered the UI of self-ordering kiosks using React & Redux, resulting in a 50% reduction in response time & enhanced scalability.

• Implemented 5+ services using .NET Framework, Microservices, Go Lang, C# maintaining 80% test coverage.

• Designed dashboards for monitoring Walmart self-service checkout machines performance using Looker and Tableau tool.

• Researched and implemented RESTful APIs to enhance application scalability and ensure seamless integration with external systems. Software Engineer (NCR Corporation India Pvt Ltd, Hyderabad, India) Jan 2019 – Sep 2020 Skills: .NET C# C++ Azure Agile SQL Server REST RPC Docker Jira Kubernetes

• Followed Agile methodologies, done End to End, regression, and unit testing of NCR Fastlane Mobile Shopper app for Self-Checkout.

• Improved system performance and handled SQL servers with 30+ TB of data of retail customers around the world.

• Extracted and aggregated Key Performance Indicators (KPI’s) from the transactional data of Walmart Self Checkouts for analysis.

• Developed an app called Shopper recommendation, it suggests user what to buy next based on the items in the cart.

• Developed and optimized SQL procedures to make changes to the product details and apply promotions.

• Automated the process of replacing dlls for debugging by developing a batch script, it reduces the development time significantly by 30%. ACADEMIC PROJECTS

• Life Share (Kony Visualizer Kony Marketplace JavaScript) A mobile application that bridges the gap between blood donors and receptors. It displays the list of required donors in the vicinity of the user along with their contact details. Many features like donor are not allowed to donate for next 90 days after donation are implemented.

• American Sign Language Prediction (Android Studio Java CNN Pose Net) A machine learning model which predicts the American sign language alphabets/words to English alphabets/words with an accuracy of 82%. Involved training of CNN model with 800 video frames of alphabets for classification and using Euclidean distance for segmentation.

• Student Performance and Academic Pattern Analysis System (Angular Spring Boot PostgreSQL OpenStreetMap APIs) A web application that analyses student’s academic marks and generates interactive analysis reports using Qlik Sense tool. Involved Data Cleaning, Data Processing and Data Analysis.

• Crowd-Sourced Traffic Management System (Material CSS Java JSP MYSQL XAMPP Qlik Sense) A web application for real-time traffic monitoring and reporting. Users report incidents (e.g., accidents, roadblocks), and the system displays the data on a live map. Machine learning algorithms analyze historical data to predict peak traffic times and recommend alternative routes.

EDUCATION

Master of Science in Computer Science Aug 2022 – Dec 2023 University of Missouri – Kansas City, Kansas City, MO, USA GPA 3.7/4 Bachelor of Engineering in Information Technology Aug 2016 – Jul 2020 Chaitanya Bharathi Institute of Technology, Hyderabad, TS, India. GPA 8.3/10



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