Sdet

Overview

CertifyOS is seeking an AI-first Software Development Engineer in Test (SDET) to build reliable, scalable, high-quality software by combining test automation with AI-assisted and agentic engineering workflows.

What you'll do

• Adopt AI-assisted and agentic approaches across the testing lifecycle.
• Use AI coding agents to generate, execute, debug, and maintain automated tests.
• Build AI-assisted workflows for test case generation from product specifications and acceptance criteria.
• Explore agentic testing approaches that can independently execute workflows, identify failures, and report defects.
• Use AI to analyse test failures, identify patterns, and suggest potential root causes.
• Continuously identify opportunities to reduce manual effort through AI and automation.
• Build and maintain scalable automation frameworks for UI, API, integration, and end-to-end testing.
• Develop reusable test components and automation libraries.
• Automate critical business workflows and regression suites.
• Integrate automated testing into CI/CD pipelines.
• Design and execute load, stress, spike, and endurance tests.
• Simulate real-world traffic, concurrent users, and high-volume API requests.
• Establish performance benchmarks and service-level objectives.
• Identify bottlenecks across APIs, databases, microservices, and infrastructure.
• Analyse latency, throughput, resource utilisation, and error rates.
• Work with developers to identify and resolve performance bottlenecks.
• Validate application behaviour as traffic, data volume, and workloads increase.
• Identify scalability limitations across distributed systems.
• Test asynchronous workflows, queues, event processing, retries, and failure recovery.
• Evaluate database performance and query efficiency under load.
• Identify resource constraints and potential points of failure.
• Contribute to capacity planning and reliability improvements.
• Work with developers and product managers to identify quality risks early.
• Participate in technical design and code reviews.
• Define quality gates and automation standards.
• Build a culture where quality is everyone's responsibility.

What you'll need

• 3–6 years of experience in software testing and automation engineering.
• Strong programming skills in Python, Java, or JavaScript/TypeScript.
• Hands-on experience with Playwright, Cypress, or Selenium.
• Strong API automation and backend testing experience.
• Experience with performance testing tools such as k6, JMeter, or Locust.
• Understanding of microservices and distributed systems.
• Good knowledge of SQL and database testing.
• Experience integrating automated tests into CI/CD pipelines.
• Practical experience using AI coding assistants and AI agents.
• Ability to analyse logs, metrics, and performance bottlenecks.
• Be comfortable working with AI coding agents such as Claude Code, Cursor, or GitHub Copilot.
• Use AI to generate test scenarios, automation scripts, and test data.
• Understand how to validate AI-generated code and prevent unreliable tests.
• Explore agentic workflows for autonomous test execution and failure analysis.
• Build reusable AI-powered testing workflows rather than relying only on manual prompting.

Nice to have

• Experience with AWS or GCP.
• Familiarity with Docker and Kubernetes.
• Experience with Kafka or other messaging systems.
• Exposure to Grafana, Prometheus, Datadog, or similar observability tools.
• Knowledge of chaos engineering and resilience testing.
• Experience with database performance tuning.