Anushka Sarkar

Results-driven Senior Software Engineer with extensive experience in Linux administration, cloud-native environments, and robust automation frameworks. Proven track record in orchestrating Docker, Kubernetes, and Terraform workflows, building reliable CI/CD pipelines, and driving Python-based automation. Adept at security patch validation, large-scale test automation, and full-stack API development to deliver highly scalable, secure, and production-ready solutions.

Senior Software Engineer at IBM (2025-01 – Present)

• Led automated security patch validation testing for IBM Netezza Legacy IIAS, maintaining 99.9% system stability and ensuring absolute upgrade readiness across deployment environments.
• Architected a scalable Python automated testing framework to validate RHEL patches, reducing manual verification cycle times by 40% and securing 100% audit-ready compliance.
• Partnered with cross-functional release teams to seamlessly integrate automated verification quality gates into active Jenkins CI/CD pipelines, cutting deployment failure rates by 15%.

Software Engineer at Zebra Technologies (2024-01 – 2025-01)

• Headed Android mobile app and OS-level testing for Android 14 updates on Qualcomm-based hardware, isolating over 200 high-severity defects using ADB and Logcat to eliminate application crashes.
• Designed and executed large-scale OTA regression testing matrices, managing critical test case execution within JIRA to safeguard D2C retail user experiences for 1M+ active endpoints.
• Scaled automated testing infrastructure using Robot Framework, optimizing execution logic to boost cross-functional release velocity by 25%.

Software Engineer at Persistent Systems (2023-01 – 2024-01)

Project: AI-Powered VLSI Knowledge Assistant (Python, FastAPI, Flask, OpenAI, HTML, CSS, JavaScript, Git)

• Owned the functional backend API architecture and data validation strategies for a production-grade FastAPI and Flask knowledge management platform leveraging OpenAI models.
• Engineered robust logging, exception handling frameworks, and validation modules, reducing runtime errors by 30% to establish a highly resilient, failsafe production environment.
• Structured Git-based version control workflows and codebase modularity, enabling seamless, automated ingestion into CI/CD deployment pipelines.

B.Tech in Electronics and Communication Engineering – Dr. B.C. Roy Engineering College (2018-01 – 2022-01)