INFOPARK

Senior Software Test Automation Enigneer

Job Title - Senior SDET / Senior Software Test Automation Engineer – SaaS & AI Platforms
Experience: 10+ Years
Location: Cochin

Role Overview
Lead an automation-first quality engineering strategy for SaaS and AI-native platforms
Define and enforce automation coverage targets (80%+ regression), eliminating manual dependency
Drive end-to-end UI, API, and backend automation embedded into engineering workflows
Own CI/CD quality gates and release readiness, ensuring predictable, high-confidence deployments
Systematically eliminate repetitive manual testing cycles through scalable automation frameworks
Enable faster innovation and safer releases through measurable quality, performance, and reliability controls

Key Responsibilities

Automation Framework & Quality Strategy
Design and build automated QA testing frameworks from scratch, covering UI, API, backend, and AI validation layers
Define automation coverage targets (unit, integration, regression) and continuously improve coverage
Validate unit and integration test coverage in collaboration with engineering teams
Drive regression automation, especially after guardrail, security, and model updates
Ensure test frameworks are scalable, maintainable, and CI/CD ready

CI/CD, Quality Gates & Release Control
Integrate automated QA test suites into CI/CD pipelines
Own automated quality gates, including:
Regression, API, and integration test pass/fail thresholds
Performance and latency benchmarks
Control release readiness based on automated test outcomes
Provide fast, reliable feedback on every commit and deployment

UI, API & Backend Automation
Develop UI automation using Playwright
Implement BDD-based automation using Cucumber where appropriate
Build fully automated API test suites, including:
Contract and integration testing
API rate-limiting behavior validation
Perform backend and data validations using SQL
Validate timeout handling, incomplete input scenarios, and failure paths

AI / LLM Quality Engineering & Validation
Own automated validation of AI/LLM behavior in collaboration with AI and Python engineering teams
Validate AI model accuracy and response quality for large-scale models (e.g., 70B parameter models running on NVIDIA platforms)
Design and execute automation for AI guardrails, including:
Scope control testing (off-topic, restricted advice, HR-sensitive, and competitor-related queries)
Prompt injection and SQL injection prevention testing
Validate graceful degradation during LLM, vector DB, or backend failures
Ensure user-friendly error messaging for AI and system failures

Multilingual & Compliance-Focused Testing
Perform automated multilingual testing, with a focus on Arabic language accuracy and RTL behavior
Validate linguistic correctness, intent preservation, and response consistency across languages
Execute AI bias and fairness testing across:
Gender, age, ethnicity, education, and EEOC-related dimensions
Ensure compliance with internal AI ethics, governance, and regulatory guidelines

Performance, Scalability & Reliability Testing
Conduct performance benchmarking across application and AI layers
Measure and validate:
Response time benchmarks (P95 / P99 latency)
Concurrent user load and stress behavior
Endurance and soak testing under sustained loads
Validate API throttling, retry mechanisms, and rate-limit enforcement
Ensure system stability and predictable degradation under peak loads

Metrics, Reporting & Continuous Improvement
Define and track automation-driven success metrics, including:
Unit, integration, and regression automation coverage
CI pipeline pass rates and failure trends
Escaped defects to production
Time from commit to release
Use metrics to continuously refine automation strategy and platform quality

Required Skills & Experience
​10+ years of experience in Software Quality Engineering / SDET roles
Proven expertise in designing automated QA frameworks from scratch
Strong hands-on experience with Playwright for UI automation
Experience implementing BDD frameworks such as Cucumber
Strong programming skills in JavaScript / TypeScript; Python experience for AI test automation
Experience with automated API, contract, and integration testing
Solid SQL knowledge for backend and data validation
Strong understanding of CI/CD pipelines and automated quality gates
Hands-on experience with performance and reliability testing
Good understanding of AI security, bias, fairness, and ethical testing principles

Tools & Technologies
Automation: Playwright, Cucumber
Programming: JavaScript / TypeScript, Python
AI Platforms: LLMs (70B scale), NVIDIA-based inference stacks
API & Backend Testing: Automated frameworks, SQL
CI/CD: Jenkins, GitLab Actions, GitLab CI
Defect Tracking: Jira

Nice to Have
Experience testing AI-native or LLM-powered SaaS platforms
Exposure to multi-tenant SaaS systems
Experience with HRMS, ATS, ERP, or compliance-driven platforms
Familiarity with AI governance, guardrails, and responsible AI frameworks
Prior experience leading automation-first QA transformations