Design and implement comprehensive test plans, test cases, and regression suites for web, mobile, and backend platforms

Carry out multiple testing approaches, including functional, regression, integration, system, user acceptance, smoke, and sanity testing

Develop and enhance automation frameworks for Angular-based frontend and Golang backend services

Expand and maintain automated test suites to ensure coverage of new and existing features

Build and refine regression and smoke test suites to maintain application stability

Assess API functionality using tools such as Postman, Swagger, or custom automation solutions

Evaluate backend processes, microservices, data flows, caching, and distributed system operations

Check database activities, including SQL/NoSQL schema updates, migrations, and data consistency

Partner with developers to replicate issues and determine root causes

Engage in design and architecture sessions to maximize testability

Help define quality standards and release criteria

Execute load, stress, scalability, and performance testing with tools like JMeter, Locust, Gatling, or K6

Track logs and performance metrics using Datadog, Splunk, ELK, Prometheus, Grafana, CloudWatch, or GCP Stackdriver

Support the creation of robust CI/CD pipelines with automated quality checks

Prepare and update documentation for test plans and strategies

Champion QA best practices and foster ongoing improvements throughout the development lifecycle

Minimum 5 years of experience in automated testing

At least one year of experience leading and managing development teams

Deep knowledge of frontend and backend testing methodologies

Practical experience building test automation with Java

Strong skills in debugging, analysis, and problem resolution

Background in testing distributed systems, microservices, and event-driven solutions

Effective verbal and written communication for team collaboration

Advanced English communication skills at B2 level or above

Experience with Google Cloud Platform or other leading cloud providers such as AWS or Azure

Knowledge of Docker, Kubernetes, or similar containerized testing environments

Familiarity with contract testing tools like Pact or Hoverfly

Experience testing data pipelines, ETL processes, or machine learning and AI-driven systems