Role Overview
We are seeking a highly motivated and experienced Senior Software Development Engineer in Testing (Senior SDET) to contribute to the quality of our AI-driven cloud operations platform. This role focuses on building scalable, reliable, and intelligent test automation systems to ensure high-quality releases in a fast-paced SaaS environment.
The ideal candidate will be hands-on with modern quality engineering practices, including automation, API testing, and cloud-native validation, while working closely with engineering teams to ensure end-to-end product quality across distributed systems.
Key Responsibilities
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Design, develop, and maintain scalable automation frameworks and test suites across UI, API, and integration layers
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Collaborate with developers to embed quality practices early in the development lifecycle (shift-left)
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Develop and execute automated test cases and ensure integration into CI/CD pipelines
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Contribute to defining and implementing test strategies for microservices-based and distributed systems
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Perform API-first testing, including validation of REST endpoints and schema/contracts
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Identify, debug, and track defects, working closely with engineering teams for resolution
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Leverage logs, metrics, and traces to validate system behavior and improve production quality
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Ensure adequate test coverage and maintain high standards for release quality
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Contribute to improving automation frameworks, tools, and processes
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Participate in design and code reviews to improve testability and quality
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Support test data setup, environment configuration, and test execution in cloud environments
Desired Skills and Requirements
Must Have
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Strong programming experience in Python (preferred) or Java/JavaScript
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Hands-on experience with modern automation frameworks:
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Playwright / Cypress (UI Automation)
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Pytest, Robot Framework, or similar frameworks
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Strong experience in API testing:
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REST APIs using tools like Postman/Newman, REST Assured, or Python (requests)
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Experience with CI/CD tools such as Jenkins, GitHub Actions, or GitLab CI
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Solid understanding of cloud-native architectures (microservices, containers, distributed systems)
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Experience working with Docker and Kubernetes-based environments
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Strong understanding of SDLC and Agile methodologies
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Experience testing cloud-based applications, preferably on AWS
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Familiarity with contract testing / schema validation (OpenAPI, Pact, etc.)
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Exposure to observability tools such as Prometheus, Grafana, ELK/OpenSearch
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Familiarity with AI-driven or intelligent test automation tools
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Strong debugging and problem-solving skills
Good to Have
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Experience testing AI/ML-driven systems or data-intensive applications, including:
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Validating outputs for accuracy and consistency
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Understanding non-deterministic system behavior (e.g., LLM-based features)
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Experience with test data management and validation frameworks (e.g., Great Expectations)
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Knowledge of event-driven architectures (Kafka, messaging systems)
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Exposure to security testing fundamentals (OWASP)
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Experience with shift-right practices such as monitoring, logging, or canary validation
Soft Skills
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Strong collaboration and communication skills
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Proactive mindset with a focus on continuous improvement
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Ability to work independently while contributing effectively within a team
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Attention to detail with a strong sense of ownership
Experience
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5-7 years of experience in test automation / quality engineering
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Proven experience working in agile, fast-paced product environments
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Experience contributing to automation frameworks and test strategy implementation
Education
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Bachelor’s degree in Computer Science or a related field
