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 5–8 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.

Required qualifications:

• 5–8 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.

• Bachelor’s 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 Automata’s values of innovation, integrity, and ownership.

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

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 organization’s facilities.

• Occasional travel to the client’s site may be required.