These skills do not affect the main grade but show the breadth of your profile.
AI Coding Assistants
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Uses ChatGPT/Claude to generate basic test scenarios and write simple automated tests. Formulates queries for explaining test frameworks and debugging failing tests.
Applies LLMs to accelerate work — generating test cases from requirements, creating page objects, writing data-driven tests. Iteratively improves prompts for quality code output.
Integrates AI tools into the testing process — automatic test generation from specifications, AI-assisted test run analysis, smart prioritization of the test suite for regressions.
Defines AI usage strategy in testing for the team. Evaluates ROI from AI tools, creates guides for effective application, and ensures quality of AI-generated tests.
Knows about Cursor as an AI-first IDE. Uses AI chat to understand test frameworks and assertion patterns. Asks Cursor to explain unfamiliar test code, selectors, and page object models.
Uses Cursor Composer for multi-file editing. Applies AI chat for refactoring. Generates tests through AI. Uses @ mentions for adding context (files, documentation). Understands the difference between Chat and Composer modes.
Standardizes Cursor usage across the QA team. Creates .cursorrules templates for test frameworks and E2E suites. Evaluates Cursor vs Copilot for test generation. Integrates AI workflows into test review and coverage analysis. Configures custom skills and MCP for test infrastructure.
Alerting & On-Call
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Understands SLI, SLO, and SLA concepts and their significance for product quality. Knows how testing helps verify that the application meets target reliability indicators.
Develops tests for SLO compliance verification — testing API response times, service availability, correct error handling. Monitors error budget in test environments.
Designs SLO-driven testing strategy — automatic SLI verification in CI, load tests with SLO validation, graceful degradation testing when error budget is exhausted.
Defines SLO testing standards for the team. Integrates SLI/SLO into test reporting, ensures each release is verified against target indicators.
Algorithms & Data Structures
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Understands the fundamentals of Algorithms & Complexity at a basic level. Applies simple concepts in work tasks using Python/Java/TypeScript. Follows recommendations from senior developers when solving problems.
Independently applies algorithmic thinking in test automation: evaluates test prioritization algorithms, selects efficient test data generation strategies, understands parallel execution scheduling algorithms. Analyzes complexity of test suite execution and result aggregation operations.
Applies algorithmic thinking to test optimization: test prioritization algorithms based on risk and change impact, minimal test set selection algorithms for regression, parallel execution scheduling algorithms for CI efficiency. Designs efficient algorithms for test flakiness detection and root cause analysis.
Defines algorithmic standards for test automation team: test prioritization algorithm criteria, parallel execution scheduling strategies, test data generation algorithm evaluation. Conducts reviews of algorithmic decisions in test framework performance.
Application Security
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Knows main OWASP Top 10 vulnerabilities and understands their impact on application security. Writes basic tests for XSS, SQL injection, and insecure authentication checks.
Develops automated security tests based on OWASP — checking security headers, testing authentication and authorization, fuzzing API input parameters.
Designs automated security testing strategy — DAST/SAST integration in CI, automatic fuzzing, business logic vulnerability testing, OWASP ZAP pipelines.
Defines security testing standards for the automation team. Coordinates with security engineers, implements mandatory security checks in CI/CD, and trains QA engineers.
Understands basic secure coding principles and their impact on test code. Writes tests that verify basic input validation and correct error handling.
Applies secure coding practices in test infrastructure — secure storage of test credentials, parameterized queries in test utilities, test data protection.
Designs secure test infrastructure — test environment isolation, secrets management for CI, secure PII handling in test data, audit logging of test operations.
Defines security standards for the team's test infrastructure. Conducts security reviews of test code, implements automatic checks for secret leaks in test repositories.
Authentication & Authorization
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Understands JWT/OAuth2 basics for test automation: generating test tokens for API testing, handling authentication in E2E test flows, and validating token expiration scenarios. Follows team practices for managing test user credentials and OAuth2 mock configurations.
Develops comprehensive authentication and authorization tests — verifying OAuth flows, testing refresh tokens, validating JWT claims, checking role-based access control.
Designs security flow testing strategy — automatic token expiration verification, multi-tenant authorization testing, JWT parser fuzzing, OAuth edge-case verification.
Defines authentication testing standards for the team. Creates a framework for testing various auth providers, ensures coverage of all RBAC scenarios.
Caching
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Understands basics of Redis for test infrastructure — caching test fixtures, managing test session state, and validating cached API responses. Reads Redis data during integration test debugging. Follows team guidelines for test environment Redis setup and teardown procedures.
Develops tests for cache correctness verification — TTL, invalidation, consistency after data updates. Manages Redis state in test environments for predictability.
Designs caching testing strategy — cache stampede verification, Redis cluster failover testing, cache-source consistency validation under load.
Defines caching layer testing standards for the team. Ensures all critical Redis scenarios are covered by automated tests, configures cache hit rate monitoring.
Clean Code & Refactoring
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Understands the fundamentals of Code Quality & Refactoring at a basic level. Applies simple concepts in work tasks using Python/Java/TypeScript. Follows recommendations from senior developers when solving problems.
Independently applies code quality practices in test automation. Writes clean page objects and test utilities with proper abstraction levels. Understands trade-offs between test specificity and maintainability. Reviews test code for flakiness risks, assertion clarity, proper waits, and test data isolation.
Designs code quality standards for test automation frameworks: page object architecture, test data management patterns, CI integration reliability. Refactors flaky test suites for deterministic execution. Establishes review practices for test maintainability, assertion clarity, and framework extensibility.
Defines code quality standards for test automation team: framework architecture decisions, page object conventions, test data management strategies. Conducts reviews of test suite design and CI integration. Establishes quality gates for test reliability and maintainability.
Code Review
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Understands basic code review for test code: reviewing test case changes, checking page object modifications, validating test fixture and assertion patterns. Follows team review guidelines for test framework code quality.
Independently conducts code reviews for test code: evaluates test architecture decisions, reviews page object and test helper implementations, checks assertion quality and test coverage. Provides constructive feedback on test maintainability and reliability.
Designs code review processes for test infrastructure: test code review standards, test architecture review checklists, test reliability review gates. Mentors team on reviewing test code for maintainability, coverage quality, and execution efficiency.
Defines code review strategy for test automation team: test code review standards, test architecture review governance, test reliability review practices. Establishes review culture for test code maintainability and quality.
Concurrency & Parallelism
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Understands basic multithreading for test automation: parallel test execution concepts, basic understanding of thread safety in shared test fixtures, concurrent browser session management in Selenium Grid. Follows team conventions for parallel test execution configuration.
Develops tests for concurrent scenarios — parallel API requests, simultaneous resource modification, load testing. Identifies race conditions through stress testing.
Designs multithreaded system testing strategy — deterministic race condition reproduction, stress testing with concurrency control, fuzzing of concurrent operations.
Defines concurrency testing standards for the team. Implements ThreadSanitizer tools, develops patterns for detecting and reproducing multithreading issues.
Database Optimization
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Understands basic indexing concepts for test databases: how indexes affect test data setup speed and query performance in test assertions. Follows team guidelines on index creation for test environment databases. Can identify missing indexes causing slow test suites.
Develops tests for query performance verification — validating required indexes exist, testing query plans, regression testing response times of critical operations.
Designs data performance testing strategy — automatic index verification during migrations, load testing queries on production-like data volumes.
Defines database performance testing standards for the team. Implements automatic index coverage checks in CI, configures alerts for slow queries appearing in tests.
Understands that query performance affects application and test speed. Knows EXPLAIN basics and can identify obvious issues — full table scan, missing index.
Includes query performance verification in the test process — measuring critical operation execution time, comparing query plans before and after changes, regression testing.
Designs automated query performance testing — benchmark suites for critical paths, automatic baseline comparison, alerts on query plan degradation.
Defines query performance testing standards for the team. Implements query performance gates in CI, configures automatic performance monitoring and reporting.
Distributed Tracing
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Understands basics of OpenTelemetry for test infrastructure observability. Follows team guidelines for reading distributed traces to debug test failures caused by service timeouts and dependency issues. Uses telemetry data to correlate test results with system behavior during CI/CD execution.
Instruments the test framework with OpenTelemetry — tracing test execution, collecting test duration metrics, correlating test requests with server telemetry.
Designs observability for test infrastructure — test stability monitoring, flaky test tracking through traces, automatic correlation of test failures with deployments.
Standardizes observability practices for the test team. Defines test suite health metrics, configures alerts for stability degradation and test execution time.
Git & Workflows
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Understands basic Git advanced features for test automation: branching for test suite versioning across releases, cherry-pick for porting test fixes to maintenance branches, stash for switching between test development tasks. Follows team conventions for organizing test repositories.
Independently uses Git advanced features for test automation: manages test suite branches aligned with release versions, resolves conflicts in shared test fixtures and page objects, implements hooks for test lint checks. Understands trade-offs between keeping tests in app repo vs dedicated test repository.
Designs Git workflows for QA teams: implements branching strategies for test suites aligned with release branches, optimizes test repository structure for parallel test development, automates test result tracking through Git-integrated reporting. Mentors team on managing test infrastructure as code with proper version control.
Defines Git strategy for QA teams: establishes branching standards for test suite management aligned with release engineering, designs code review workflows for test automation code, drives adoption of Git best practices for test infrastructure as code.
Infrastructure as Code
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Understands Infrastructure-as-Code concept and Terraform's role in infrastructure management. Knows how test environments are created and destroyed to ensure test isolation.
Uses Terraform to create test environments — provisioning databases, queues, and services for integration tests. Writes modules for reproducible test infrastructure creation.
Designs test infrastructure via Terraform — ephemeral environments for PR checks, shared staging for performance tests, automatic test cluster scaling.
Defines test infrastructure management standards for the team. Creates reusable Terraform modules, ensures cost control for test resources and automatic cleanup.
Kubernetes & Orchestration
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Understands basic Kubernetes concepts for deploying test infrastructure and test execution environments. Uses ready-made configurations for spinning up test pods and Selenium grid nodes. Performs simple operations like checking test runner pod status and viewing test logs under guidance.
Independently configures Kubernetes deployments for test infrastructure — Selenium grids, test databases, and mock service clusters. Writes IaC for ephemeral test environments with namespace isolation and resource limits. Understands Kubernetes networking for test traffic routing and service discovery in CI/CD pipelines.
Designs Kubernetes infrastructure for scalable test automation platforms supporting parallel test execution at organizational scale. Implements cost-optimized ephemeral test environments with auto-provisioning and cleanup. Applies security hardening and resource governance best practices for shared test infrastructure clusters.
Defines Kubernetes infrastructure strategy for organization-wide test automation platforms. Establishes IaC standards for ephemeral test environment provisioning and test infrastructure scaling. Conducts architecture reviews of test cluster configurations and optimizes FinOps for testing compute resources.
Logging
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Understands basic structured logging for test automation: reading application logs during test execution, correlating test failures with log entries, basic log queries for debugging test environment issues. Follows team conventions for test execution logging and log-based assertions.
Configures structured logging for test infrastructure: implements log correlation between test execution and application logs, creates dashboards for test environment health monitoring, sets up alerts for test infrastructure issues. Analyzes test failures using application log investigation.
Designs observability strategy for test infrastructure: implements distributed tracing for test execution environments, defines SLI/SLO for test infrastructure reliability and performance, conducts post-mortems for test pipeline failures. Mentors team on log-based test diagnostics and observability-driven testing practices.
Defines observability strategy for QA infrastructure: establishes SLO-based approach for test pipeline reliability, coordinates incident management for test environment issues, optimizes MTTD/MTTR for test infrastructure failures through improved monitoring and alerting.
Message Queues & Event Streaming
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Understands basic Kafka concepts for test automation: consuming test events, verifying message delivery in integration tests, and basic Kafka test containers setup. Follows team practices for testing Kafka-based microservices and event-driven architectures.
Develops tests for Kafka-based interactions — verifying message publishing and consumption, testing ordering guarantees, validating event format and schema compatibility.
Designs event-driven architecture testing strategy — end-to-end saga testing through Kafka, chaos testing with message loss, exactly-once semantics verification.
Defines messaging layer testing standards for the team. Implements contract testing for Kafka events, ensures schema backward compatibility and failure scenario coverage.
Metrics & Monitoring
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Understands basic Prometheus & Grafana for test infrastructure: reading test environment dashboards, understanding test execution metrics (pass rate, duration), navigating Grafana panels for CI/CD pipeline health. Follows team conventions for monitoring test infrastructure.
Configures Prometheus and Grafana for test infrastructure monitoring: implements metrics for test execution tracking and environment health, creates dashboards for test pass rates and CI pipeline performance, sets up alerts for test infrastructure degradation. Analyzes test failures using infrastructure metric correlation.
Designs observability strategy for test infrastructure with Prometheus & Grafana: implements monitoring for test execution environments and CI pipelines, defines SLI/SLO for test infrastructure reliability, conducts post-mortems for test pipeline failures. Mentors team on observability-driven test infrastructure management.
Defines observability strategy for QA infrastructure with Prometheus & Grafana: establishes SLO-based approach for test pipeline reliability, coordinates test infrastructure incident management, optimizes MTTD/MTTR for test environment failures.
Networking
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Understands basic networking concepts for test automation — HTTP/HTTPS for API testing, proxy configuration for traffic interception, and network simulation for testing under degraded conditions. Follows team guidelines for configuring test environments and debugging network-related test failures.
Applies network protocol knowledge in testing — SSL certificate verification, WebSocket connection testing, emulating network delays and packet loss for resilience testing.
Designs test scenarios for application network aspects — chaos testing with connection drops, retry mechanism verification, CDN caching and edge case testing.
Defines network interaction testing strategy for the team. Implements network emulation tools in CI/CD, ensures coverage of network-dependent scenarios.
OOP & Design Patterns
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Understands the fundamentals of Design Patterns at a basic level. Applies simple concepts in work tasks using Python/Java/TypeScript. Follows recommendations from senior developers when solving problems.
Independently applies design patterns for test automation: page object pattern for UI test abstraction, strategy for cross-browser/cross-platform test execution, builder for test data construction, factory for test environment setup. Explains pattern trade-offs for maintainable test architecture.
Has deep expertise in design patterns for test frameworks: designs extensible test architectures with page object and screenplay patterns, implements plugin systems for cross-platform test execution, optimizes pattern usage for test suite maintainability. Mentors team on architectural patterns for enterprise test automation frameworks.
Defines design pattern standards for QA automation teams: establishes architectural review practices for test framework patterns, creates guidelines for pattern selection in test infrastructure design, conducts training on patterns for maintainable and extensible test architectures.
Understands the fundamentals of OOP & SOLID Principles at a basic level. Applies simple concepts in work tasks using Python/Java/TypeScript. Follows recommendations from senior developers when solving problems.
Independently applies OOP/SOLID in test automation frameworks: proper Page Object Model hierarchies, interface-based driver abstractions, single responsibility in test helpers and assertions. Understands trade-offs between deep inheritance in page objects and composition-based test design.
Applies OOP/SOLID in test framework architecture: page object pattern with proper abstraction layers, strategy pattern for different browser/platform drivers, factory method for test data generation. Designs extensible test automation frameworks with clean separation between test logic, infrastructure, and reporting.
Defines OOP/SOLID standards for test automation team: Page Object Model architecture guidelines, test framework interface contracts, fixture/factory class design patterns. Conducts reviews of test code OOP decisions for maintainability and parallel execution support.
Prompt Engineering
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Formulates clear prompts for generating test scripts and page objects. Understands that including framework context (Selenium, Playwright, Cypress) and assertion style significantly improves AI output quality. Can describe test scenarios to AI tools and get functional automation code.
Writes structured prompts with context (language, framework, constraints). Uses few-shot examples. Iteratively refines prompts. Understands context window and its limitations. Uses system prompts for AI behavior configuration.
Creates a prompt library for QA team's typical tasks: test generation from requirements, page object scaffolding, API test creation, and data-driven test setup. Uses chain-of-thought prompting for test strategy decisions and coverage gap analysis. Optimizes prompts for token/cost minimization while maintaining test code quality. Creates .cursorrules with testing conventions and copilot-instructions for QA workflows. Trains the team on effective prompt engineering for test automation.
Designs prompt engineering strategy for the organization. Creates corporate prompt templates. Integrates prompt engineering into CI/CD (auto-generating tests, documentation). Evaluates different LLMs for various tasks. Establishes best practices at the company level.
REST API
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Understands basic REST API concepts for test automation: API test case design, request/response validation, basic REST client usage in test frameworks. Follows team conventions for API test structure and assertion patterns.
Independently designs REST API test suites: contract testing with schema validation, automated CRUD operation verification, performance benchmarking for API endpoints. Understands best practices for API test data management, mock server setup, and CI/CD integration for API tests.
Designs API testing architecture: contract testing frameworks, API performance testing strategies, API compatibility testing across versions. Defines API test infrastructure standards and mock service architecture. Mentors team on comprehensive API quality assurance.
Defines API testing strategy at product level: API contract testing standards, API performance testing governance, API test infrastructure policies. Conducts API test architecture reviews and establishes API quality assurance processes.
System Design
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Understands basic application architecture — client-server, microservices, queues. Uses this knowledge to identify integration points and write meaningful test scenarios.
Designs test strategy considering system architecture — which components to test in isolation, where integration tests are needed, how to mock external services.
Develops test infrastructure architecture for distributed systems — parallel test execution, service virtualization, test data management in a microservices environment.
Defines testing strategy for complex architectural decisions — event-driven systems, saga patterns, CQRS. Ensures adequate coverage of all architectural components.
Type Systems
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Understands the benefits of static typing for test code quality. Uses basic TypeScript types when writing automated tests — typing page objects, test data, and fixtures.
Applies strict typing in the test framework — typed API clients, generic helpers for data handling, interfaces for page objects. Catches errors at compile time.
Designs type-safe test infrastructure — end-to-end typing from API schema to assertions, type auto-generation from OpenAPI, discriminated unions for test data.
Defines typing standards for the team's test framework. Selects tools and approaches, enforces strict mode, implements type auto-generation in the CI/CD pipeline.
Web Frameworks
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Uses Node.js Frameworks at a basic level. Performs simple tasks using ready-made templates. Understands basic concepts and follows team practices.
Independently builds test automation frameworks with Node.js: Playwright/Cypress for E2E, Supertest for API testing. Configures test runners, assertion libraries, and CI/CD integration. Implements page object patterns and test data factories.
Designs comprehensive Node.js test automation architecture: multi-layer test pyramid, custom reporters, parallel execution strategies. Implements performance testing with k6/Artillery and visual regression with Playwright. Mentors team on automation best practices.
Defines architectural decisions for Node.js Frameworks at the product level. Establishes standards. Conducts design reviews and determines technical roadmap.