Quality Engineer

We are looking for a Quality Engineer (L5) a senior-level engineering role responsible for ensuring product reliability performance and compliance across complex distributed systems. With 58 years of experience this role blends technical depth with hands-on test strategy automation leadership and cross-functional collaboration.

You will design end-to-end test architectures build automation frameworks integrate quality into CI/CD pipelines and shape engineering practices that raise product standards across teams. This role partners closely with software engineering infrastructure product management data engineering and security teams to ensure high-quality releases consistent validation patterns and efficient issue resolution.

Core Responsibilities:

• Define implement and maintain test strategies for backend frontend mobile API data and distributed systems.

• Develop and optimize automation frameworks for functional integration performance and regression testing.

• Build automated test pipelines integrated with CI/CD systems (GitHub Actions GitLab CI Jenkins ArgoCD).

• Partner with engineers to define acceptance criteria testing requirements and non-functional quality standards.

• Lead root-cause analysis defect documentation and quality-related escalations.

• Deploy observability tools (metrics logs traces) to validate system reliability and performance.

• Conduct performance load and stress testing aligned to SLO/SLI expectations.

• Ensure compliance with regulatory security and audit requirements relevant to client environments

• Maintain test data management strategies including synthetic data generation and anonymization.

• Mentor junior QA and automation engineers uplifting team maturity and engineering discipline.

Qualifications :

Required qualifications:

• 58 years of experience in quality engineering automation engineering or software engineering.

• Strong proficiency in at least one programming or scripting language (Python JavaScript/TypeScript Java Go).

• Deep experience designing automation frameworks using Selenium Playwright Cypress or equivalent tools.

• Hands-on experience testing REST GraphQL gRPC message queues and event-driven architectures.

• Familiarity with cloud environments (AWS Azure GCP) and Kubernetes-based systems.

• Strong understanding of CI/CD pipelines Git-based workflows and automated testing practices.

• Expertise in defect management root-cause analysis and structured test documentation.

• Bachelors degree in Computer Science Engineering or equivalent practical experience.

• Advanced English level (written and spoken) to communicate effectively across global teams.

Preferred experience:

• Experience in regulated industries such as Life Sciences healthcare medical devices pharma or finance.

• Exposure to AI/ML quality practices data validation frameworks and model-level testing.

• Experience with contract testing synthetic monitoring and chaos/resilience testing.

• Familiarity with performance and load-testing tools (JMeter Locust k6).

• Certifications in testing cloud or quality engineering (ISTQB AWS/Azure/GCP etc.).

Technical skills

Quality Engineers at this level are expected to demonstrate familiarity with one or more tools and technologies in each of the following categories:

• Test Automation

  • Selenium Playwright Cypress WebDriverIO

  • Pytest Jest Mocha JUnit

  • API testing with Postman Newman REST Assured

• Cloud Infrastructure & Containers

  • Kubernetes (K3s RKE2 AKS EKS GKE)

  • Docker container debugging logs and environment replication

• CI/CD & DevOps

  • GitHub Actions GitLab CI Jenkins ArgoCD

  • Test execution pipelines quality gates artifact tracking

• Observability & Reliability

  • Prometheus Grafana Loki Tempo

  • OpenTelemetry for metrics logs and tracing validation

  • Performance testing (k6 JMeter Locust)

• Security & Governance

  • Vulnerability scanning (Snyk Trivy)

  • SBOM validation and dependency checks

  • Data anonymization and compliant test-data handling

Soft Skills

• Strong analytical mindset and ability to deconstruct complex systems.

• Clear communication skills with ability to influence engineering teams.

• Strong documentation discipline and attention to detail.

• Ability to collaborate across engineering product and operations teams.

• Ownership mindset with a focus on long-term system quality and maintainability.

• Mentorship orientation and willingness to support junior team members.

Organizational Competencies

• Remote Collaboration: Works effectively in distributed teams using asynchronous communication.

• Continuous Learning: Actively explores new models frameworks and safety techniques.

• Cultural Fit: Embodies Veritas Automatas values of innovation integrity and ownership.

• Strategic Impact: Contributes reusable AI building blocks that accelerate future product delivery.

Additional Information :

Workplace Conditions and Physical Expectations

• Prolonged periods of sitting at a desk and working on a computer.

• Must be able to lift 15 pounds at times.

• Must access and navigate each department at the organizations facilities.

• Occasional travel to the clients site may be required.

Remote Work :

Yes

Employment Type :

Full-time