Your Role: Senior QA Engineer - AI & Automation

We are looking for a Senior Quality Engineer to drive quality engineering for the VuSmartMaps Observability Platform through AI-enabled automation and modern testing practices. In this role, you will design intelligent test automation, build scalable validation frameworks, and leverage AI-assisted workflows to improve quality across cloud-native, distributed systems processing billions of telemetry events. Working closely with Engineering, Product, SRE, and DevOps teams, you will help ensure the platform is reliable, scalable, secure, and production-ready.

Roles & Responsibilities:

- Own the end-to-end quality strategy for the VuSmartMaps Observability Platform.

- Design, develop, and maintain automated test frameworks for APIs, UI, distributed services, and telemetry pipelines.

- Build AI-assisted test automation using LLMs, AI agents, and intelligent testing workflows.

- Develop reusable AI Skill Definitions, prompts, and workflows for automated test generation, validation, and regression testing.

- Build browser automation using Playwright, with hands-on experience in Playwright MCP (Model Context Protocol) being highly desirable.

- Design and execute functional, integration, regression, performance, and resilience tests for distributed systems.

- Develop automation frameworks using Playwright, Python, Go, Bash, pytest.

- Integrate automated test suites into CI/CD pipelines using Jenkins, GitOps, Spinnaker, or similar platforms.

- Collaborate with Engineering, SRE, and DevOps teams to drive Shift-Left quality practices.

- Mentor QA engineers and promote automation and AI testing best practices.

What You Bring - Required Skills:

- Strong experience in test automation for enterprise or cloud-native applications.

- Proficiency in Python (preferred), Go, or similar programming languages.

- Hands-on experience with Playwright and modern API/UI automation frameworks.

- Experience with CI/CD pipelines, Kubernetes, Docker, Linux, REST APIs, and microservices.

- Strong debugging, analytical, and problem-solving skills.

Preferred Skills:

- Experience building AI-powered test automation using LLMs and AI coding assistants.

- Experience writing AI Skill Definitions and agentic testing workflows.

- Knowledge of Playwright MCP or similar AI-assisted browser automation frameworks.

- Familiarity with observability technologies such as OpenTelemetry, Prometheus, Grafana, Loki, Elasticsearch, Kafka, and ClickHouse.

- Knowledge of observability platforms such as Datadog, Dynatrace, Splunk, Elastic Observability, or New Relic is an added advantage.