Arti Yogiraj

Product Engineer

Bengaluru, Karnataka, India4 yrs 6 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in test automation for cloud-native applications.
Proficient in CI/CD pipeline development and management.
Strong background in server validation and debugging.

Stackforce AI infers this person is a skilled SDET specializing in test automation and cloud-native solutions.

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Skills

Core Skills

Test AutomationCi/cd

Other Skills

AI ModelsAPI DevelopmentAdvanced TroubleshootingBase Driver LinuxBase Driver WindowsC (Programming Language)C++Cloud Application DevelopmentCloud DevelopmentCloud ServicesCloud computingDebuggingDefect verificationDeploymentEmbedded C

About

SDET with 4 years of experience across system validation and test automation, with deep technical exposure in server platforms, network stack, and distributed systems. OLA Krutrim (Cloud) : -Own backend and frontend test automation for RESTful APIs using Python, Pytest, Pytest BDD (Gherkins) and Jenkins. -Built CI/CD pipelines with Git-based triggers, cron scheduling, test reporting, and post-test cleanup. -Experienced in testing cloud-native, distributed systems with a focus on scalability, resilience, and load balancing. -Drive test planning, execution, and reporting, with strong integration across dev and QA workflows. L&T Technology Services – Intel ODC : -Worked on server NIC validation, BIOS-level debugging, and platform bring-up for Intel-based systems. -Involved in debugging server hardware connectivity issues and handling low-level system configurations. -Hands-on with virtualization, hypervisors, Linux internals, shell scripting, and Python automation for validation flows.

Experience

4 yrs 6 mos

Total Experience

1 yr 11 mos

Average Tenure

7 mos

Current Experience

Infoblox

Software QA Engineer II

Nov 2025 – Present · 7 mos · Bengaluru, Karnataka, India · Hybrid

Krutrim

Software Development Engineer in Test 1

Jan 2024 – Nov 2025 · 1 yr 10 mos · Bengaluru, Karnataka, India · On-site

Developed a comprehensive end-to-end testing framework focused on validating frontend with playwright & backend REST API calls & responses. The framework includes the design of test cases & incorporates complete automation through Jenkins.
The Jenkins pipeline is configured to:
Automatically fetch the latest test automation scripts from Git repositories.
Schedule & trigger test runs at specified intervals using cron jobs.
Execute automated API tests using Pytest.
Collect & aggregate test results, then generate detailed reports.
Perform environment cleanup after each test execution to maintain consistency.
Technologies and tools applied include:
Pytest framework for test scripting, REST API validations using Python, alongside cloud computing, virtualization, and load balancing strategies to simulate and verify service reliability under varied conditions.
Worked on developing framework libraries and coming up with the test suite for validating the load balancer performance across the multiple clouds
Technologies/libraries used: Data frame for time series based analysis, mongodb for retaining and querying non-structured data and RabbitMQ as a message queue, docker/containerised environment for running the tool, json and yaml formats for tool input.
Worked on developing core libraries for test framework for automated testing(pytest).
Worked on numerous scripts to provide automation to the go.
Automated the creation of JIRA tickets based on test failures, eliminating manual bug reporting and improving triage efficiency.
Built a cron-based automation suite to analyze test failures using Allure reports and DeepSeek for root cause insights.
Auto-generated JIRA tickets with Python, JIRA SDK, and Zephyr API, integrated into CI/CD with email notifications for stakeholders.