SDET

CertifyOS

. Build reliable, scalable, and high-quality software testing solutions for CertifyOS’s healthcare provider data infrastructure platform .

Posted 11/5/2026full-timeBengaluru • IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building scalable and reliable software testing solutions, utilizing AI-assisted automation for efficient test case generation and execution. Proficient in performance testing, API automation, and integrating automated tests into CI/CD pipelines.

Highest-signal resume keywords

Python ProgrammingAPI AutomationPerformance Testing ToolsAI Coding AssistantsCI/CD Integration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Java ProgrammingJavaScript/TypeScript ProgrammingPlaywrightCypressSeleniumSQLDatabase TestingLoad TestingStress TestingAutomation Frameworks

Tools & Technologies

AWSGCPDockerKubernetesKafkaGrafanaPrometheusDatadogK6JMeter

Industry Keywords

Healthcare Provider Data InfrastructureMicroservicesDistributed SystemsAgentic TestingChaos EngineeringResilience Testing

Tech Stack

Tools & technologies

AWSCypressDistributed SystemsDockerGoogle Cloud PlatformGrafanaJavaJavaScriptJMeterKafkaKubernetesMicroservicesPrometheusPythonSeleniumSQLTypeScript

About the role

Key responsibilities & impact

Build reliable, scalable, and high-quality software testing solutions for CertifyOS’s healthcare provider data infrastructure platform
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 independently execute workflows, identify failures, and report defects
Use AI to analyse test failures, identify patterns, and suggest potential root causes
Reduce manual effort through AI and automation
Build and maintain scalable UI, API, integration, and end-to-end automation frameworks
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
Validate application behaviour as traffic, data volume, and workloads increase
Test asynchronous workflows, queues, event processing, retries, and failure recovery
Evaluate database performance and query efficiency under load
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
Deliver AI-assisted automation, faster quality feedback, reliable performance benchmarks, early bottleneck detection, and improved release confidence

Requirements

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
Comfortable working with AI coding agents such as Claude Code, Cursor, or GitHub Copilot
Ability to use AI to generate test scenarios, automation scripts, and test data
Understanding of how to validate AI-generated code and prevent unreliable tests
Experience exploring agentic workflows for autonomous test execution and failure analysis
Experience with AWS or GCP is good to have
Familiarity with Docker and Kubernetes is good to have
Experience with Kafka or other messaging systems is good to have
Exposure to Grafana, Prometheus, Datadog, or similar observability tools is good to have
Knowledge of chaos engineering and resilience testing is good to have
Experience with database performance tuning is good to have
Legally authorized to work in the country where the role is based

Benefits

Comp & perks

100% coverage of health, dental, and vision insurance premiums for employees
Unlimited PTO for US-based team members, with at least two weeks off each year to recharge
Health insurance for employees in India
Statutory leave benefits for employees in India
Additional wellness (menstrual) leave for women in India
Equal opportunity and inclusive work environment
Reasonable accommodations during the application process