Harika Pokalakari
Software Quality Assurance Engineer @ STRATACACHE
About
I am a Software Quality Engineer with experience driving end-to-end quality initiatives for enterprise UI and backend systems in distributed environments. At STRATACACHE, I led quality engineering efforts for large-scale digital menu board platforms serving enterprise clients like Taco Bell and Zaxby’s. I converted 60%+ of manual regression scenarios into Cypress automation suites, reducing regression cycle time by 40% and improving release confidence through CI/CD integration. Previously at Dell EMC, I designed and scaled Robot Framework automation pipelines, increasing regression coverage by 50%+ and enabling nightly automated validation within Jenkins environments. My expertise includes: • Automation Framework Design (Cypress, Robot Framework) • CI/CD Integration (Jenkins, Git) • UI, API & Backend Validation • SQL-based Data Verification • Distributed Systems & Linux Environments • Performance & Monitoring (JMeter, Grafana) I am passionate about building scalable automation architectures that improve release efficiency, reduce production defects, and strengthen product reliability. Currently seeking QA Automation / SDET opportunities where I can contribute to quality strategy and automation innovation.
United States
Memphis Metropolitan Area
Information Technology & Services
Backpack, Front-End Development, React.js, HTTP methods, API Testing, JSON, Unix, Retail, Cypress.io, Jira, Go (Programming Language), GitHub, Systems Programming, Robot Framework, SAT Framework, Perl Automation, Jenkins, Linux, Quality Assurance, Selenium Testing
Experience

Software Quality Assurance Engineer
Dayton, OH
• Led quality validation for digital menu board applications across thousands of enterprise locations. • Identified risk areas in new features and created targeted testing strategies to ensure product quality. • Designed test plans and test cases to validate UI workflows, backend logic, and integrations. • Performed functional, regression, end-to-end, and performance testing to improve release stability. • Conducted risk analysis for new releases and prioritized testing for critical user workflows. • Reviewed product designs in Figma to understand UI requirements and ensure accurate test coverage. • Built a scalable UI automation framework using Cypress and JavaScript (Page Object Model). • Automated 60%+ of manual regression test scenarios using Cypress automation suites. • Executed integration testing for backend pricing services and databases using SQL queries. • Validated API endpoints using Postman for manual and automated API testing. • Investigated complex issues using Chrome DevTools, application logs, and Grafana dashboards. • Performed root cause analysis and collaborated with developers to resolve system defects. • Tested unreleased product builds to identify defects early in the development lifecycle. • Documented test cases, defects, and quality metrics using Jira and QMetry. • Collaborated with developers, product managers, and technical leads to ensure test coverage.

Technical Support Representative || Student Manager
University of Dayton IT Service Centre
Dayton, OH
• Installed and configured classroom technology including projectors, and network-connected devices. • Diagnosed and resolved Windows and software issues to minimize classroom downtime. • Assisted faculty and students with technical setup for presentations, applications, and learning systems. • Performed basic network troubleshooting including connectivity, login, and access issues. • Maintained documentation for common technical issues and troubleshooting procedures. • Responded to technical incidents quickly to ensure uninterrupted classroom operations. • Supported software installations, updates, and system configuration across multiple devices. • Escalated complex technical problems to senior IT staff while providing detailed diagnostic information. • Identified recurring system issues and documented root causes to improve support processes. • Used structured troubleshooting and diagnostic methods to isolate technical problems.

Software Engineer – QA Automation | Dell EMC | Group: NetWorker
Bengaluru
• Developed and maintained core functionalities for EMC NetWorker backup and recovery systems. • Designed and automated backup validation and recovery workflows using Perl scripting. • Led automation and testing efforts using Robot Framework and SAT Framework. • Implemented automation scripts to reduce manual intervention and improve testing efficiency. • Integrated and maintained CI/CD pipelines in Jenkins for automated build, test, and deployment. • Used SQL queries to validate backup metadata and generate system reports. • Leveraged Linux and shell scripting for log analysis, environment setup, and automation tasks. • Performed functional, regression, and system testing to ensure high product quality. • Created and maintained detailed test plans and test cases for structured validation. • Identified, triaged, and tracked defects using Jira, prioritizing by severity and impact. • Conducted root cause analysis (RCA) and implemented fixes to improve system stability. • Collaborated with cross-functional teams to resolve issues and enhance product reliability. • Participated in Agile Scrum ceremonies including sprint planning, stand-ups, and retrospectives.
Education

Computer Science
Key courses: Database Management Systems (DBMS): Studied relational database design, SQL, and optimization techniques. Advanced Data Structures (Java): Learned complex data structures and their implementation in Java. Systems Programming: Explored low-level programming, memory management, and inter-process communication using C and shell scripting. Operating Systems: Studied core OS concepts, including process management, threading, synchronization, and file systems, with hands-on simulation exercises. Network Security: Examined cryptographic protocols, secure communication techniques, and threat mitigation strategies in modern networked systems. Software Project Management: Deeply learned Agile methodologies, project planning, resource allocation, and risk management to lead and deliver successful software projects. Data Science Patterns and Recognition: Applied ML algorithms and statistical methods to identify trends, classify data, and recognize patterns in real-world datasets.
Harika Pokalakari's Contact Information
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