Full Description

Core Responsibilities

• Design, build, and maintain CI/CD pipelines that run automated tests reliably (unit, integration, API, E2E) with clear reporting and fast feedback.

• Design, build, and maintain test suites for applications across multiple interfaces (e.g., web/app UIs, APIs, services, chatbots) and their underlying data, ensuring they are testable and have measurable quality criteria.

• Own the test execution infrastructure to ensure tests are stable, reproducible, and scalable.

• Integrate quality gates into delivery (PR checks, code coverage thresholds, security/static analysis, smoke tests, canary-style validation for staging).

• Implement Infrastructure-as-Code using Ansible to standardize, version, and automate environment configuration, ensuring consistent QA/staging setups across teams.

• Document and standardize pipeline templates, environment setup, playbooks, and incident response for CI/test infrastructure.

• Improve test pipeline performance and reliability by reducing flaky tests, stabilizing environments, adding retries/back-off strategies where appropriate, and making failures actionable.

• Maintain observability for CI and test environments (logs, metrics, traces where relevant), and create dashboards/alerts for pipeline failures and test health

• Work with engineers and product managers to run system-level investigations, identifying issue origins, failure conditions, and impacts.

• Ensure secrets and credentials are handled securely in pipelines (vaulting, rotation, least privilege, audit trails).

• Collaborate with engineers and product owner to define test strategy requirements at the system level (what must be automated, what must be gated, what’s acceptable risk).

• Translate user and business needs into clear, testable acceptance criteria.

• Select and apply appropriate testing methodologies (e.g., regression, exploratory, integration, end-to-end) based on risk and impact.

• Qualifications & Skills

• Bachelor’s degree in Computer Engineering or Computer Science.

• Solid understanding of CI/CD concepts (build/test/deploy stages, artifacts, pipeline-as-code, branching strategies, release workflows), software testing principles, QA practices, and modern web-application behavior.

• Detail-oriented and organized; able to infer system structure and edge cases from incomplete requirements.