Headline

QA Engineer | SDET | API Test Automation (Python, pytest) | AI/LLM & MCP Quality | DNS/DHCP/IPAM Platform Testing

About

I test the systems that keep enterprise networks resolving — DNS, DHCP, and IPAM — and lately, the AI systems being built on top of them. At Infoblox I own the automation that proves Infoblox IQ's anomaly detection actually works. That means a Python/pytest framework of 49 end-to-end regression scenarios across NXDOMAIN, SERVFAIL, and DNS latency families, running on both NIOS and NIOS-X, injecting real failure conditions at 1,000 QPS against live on-prem DNS hosts and asserting that exactly one correctly typed, correctly attributed action comes out the other end. Before that framework existed, the same coverage lived in shell scripts nobody wanted to touch. The part of the job I find most interesting right now is testing AI itself. I led the release certification of an MCP (Model Context Protocol) server exposing ~45 CSP REST services to LLM agents — roughly 187 test cases across six workstreams, 23 defects filed, including a Critical cross-tenant data-isolation issue and a reproducible transport crash on the single most common query an administrator would make. Both gated GA. I also built an evaluation harness for our customer-facing LLM assistant, turning "does the agent answer correctly?" from a subjective demo into a repeatable, reportable regression suite, and filed 40+ agent-quality defects against it. What I bring to a team: • API and integration automation in Python/pytest, designed to be maintained rather than rewritten — shared helper layers, reusable scoring modules, HTML and JUnit reporting. • Test strategy that starts from what the code actually does. My most recent strategy document was written for a story with no acceptance criteria; I inventoried 49 existing automated scenarios by direct code inspection, identified the one heuristic most likely to regress, and produced 61 Zephyr-importable cases and a coverage matrix from it. • A defect record that reflects real risk, not ticket volume: 219 issues filed across six Jira projects, the majority P1/P2, spanning detection logic, telemetry gaps, analytics failures, and platform outages. • Comfort below the test layer — Kubernetes pod triage, Jenkins CI repair, Docker environments, AWS provisioning, BIND/DNSSEC internals, CubeJS analytics. Open to Senior QA Engineer, SDET, and Test Automation Engineer roles working on APIs, platforms, or AI/LLM products. Python · pytest · REST/API testing · Test strategy · Kubernetes · Docker · Jenkins · AWS · DNS/DNSSEC · LLM & MCP testing

Location

Bengaluru

AI stack

claude code

claude

mcp

claudecode

githubcopilot

Cline

Work experience

QA Engineer at Infoblox, Nov 2024 - Present · 1 yr 11 mos, Bengaluru, QA Engineer – Universal DDI & AI Solutions • Own the IQ Anomaly Simulation automation framework (Python/pytest): 25 test classes, 49 scenario x platform end-to-end regression cases (~19,400 LOC) across DNS NXDOMAIN, SERVFAIL, and LATENCY on NIOS and NIOS-X. • Led customer-GA release certification of an MCP server for LLM agents: ~187 test cases, six workstreams, 23 defects filed including a Critical data-isolation blocker. • Filed and drove 219 defects and stories across six Jira projects, majority P1/P2, on Universal DDI, Infoblox IQ, NIOS, NIOS-X, and NIOS-XaaS. • Authored enterprise test strategies and Zephyr-importable test plans (61 cases with coverage matrix and execution checklist) for AI anomaly-detection features. • Built an LLM evaluation harness for the customer-facing "Ask Anything" assistant and raised 40+ agent-quality defects. • Designed a QA Progress Tracker Dashboard (Django/DRF + React) reconciling Report Portal and Jira/Zephyr results into a per-epic quality rate. • Delivered release-qualification automation for DNS 3.8.x (249 DNSSEC cases, 35 DFP cases per cycle); maintained Jenkins CI jobs for a 13-person QA org.

AI Model Trainer & Task Reviewer at Outlier, Sep 2024 - Nov 2024 · 3 mos, Remote, Trained AI models in mathematics and Python, focusing on identifying reasoning and logical errors by presenting complex mathematical questions. Collaborated with a team to review and provide feedback on tasks completed by other candidates, ensuring high-quality deliverables. Contributed to improving the accuracy and performance of AI models through iterative training and testing methodologies.

QA Engineer at RUCKUS Networks, Dec 2023 - Aug 2024 · 9 mos, Bengaluru, Karnataka, India, As a QA Engineer at Ruckus Networks ( BU of CommScope), I was responsible for ensuring the robustness and reliability of FastIron OS-based ICX Switches, particularly focusing on Layer 2 protocols automation and security features. Layer 2 Protocols Automation I have worked on- Port Mac Security (PMS): Automated testing to ensure only authorized devices could connect, preventing unauthorized access. QA Ownership & Automation of Security Features I led the QA efforts for various security features, automating their testing processes: IPv4/v6 Security Features: DHCP Snooping: Validated DHCP server assignments and blocked unauthorized responses, automating the prevention of DHCP snooping attacks. Dynamic ARP Inspection (DAI): Automated ARP packet validation to prevent ARP spoofing. IP Source Guard (IPSG): Restricted IP traffic on untrusted interfaces to DHCP-snooping binding table entries, automating this validation. Malformed DHCP Packet Detection: Automated tests to identify and handle malformed DHCP packets, ensuring network stability. Performance and Scale Testing Conducted comprehensive performance and scale testing to evaluate security features across different platforms.

Engineer I, R&D at CommScope, Jul 2022 - Dec 2023 · 1 yr 6 mos, Bengaluru, Karnataka, India, As an Engineer 1 in the Research and Development (R&D) department, I played a crucial role in advancing product innovation and ensuring quality through various testing and automation tasks. My key responsibilities included: 1. PhyByPass Sanity Automation (Initial Integration Testing and Automation) Description: Led the end-to-end automation of gNodeB (gNb) build sanity, developing comprehensive test scenarios and handling debugging. Enhanced test cases to reduce execution time, improving efficiency. Releases Worked On: Contributed to releases 6.5, 7.0, 7.1, 7.2, and 8.1, ensuring high standards and performance. Modes: Worked on both Time Division Duplex (TDD) and Frequency Division Duplex (FDD) modes, demonstrating versatility. 2. GUI Automation Using Python and Selenium WebDriver Description: Automated General Functionality Sanity testing for the DAS Era GUI Portal using Python and Selenium WebDriver. Created robust scripts to ensure reliability and improve the user experience, identifying and resolving issues efficiently. 3. CBRS 4G Regression Testing and Debugging Description: Conducted regression testing on CBRS (Citizens Broadband Radio Service) builds, focusing on the SAS-CBSD message flow and operations of PAL (Priority Access License) and GAA (General Authorized Access). Ensured compliance with regulatory standards and system reliability. My contributions in these areas showcased strong technical skills, attention to detail, and a commitment to enhancing product quality and performance, significantly supporting the successful development and deployment of innovative technologies in the R&D sector.

Trainee Engineer at CommScope, Aug 2021 - Jul 2022 · 1 yr, Bangalore Urban, Karnataka, India, 1. Automated the test cases for Validation of self healing of gNB (pods: cu-cp, cu-up, du and their respective containers) using robot framework and python. 2. Written a python program to download the sanity reports from Jenkins and parse the XML file to update the dashboard with the test cases stats and data.

Teaching Assistant at DP Computer Center, May 2018 - Apr 2019 · 1 yr, Remote

Education

Master of Technology - MTech, Information Technology, National Institute of Technology Raipur