The Role
Build and maintain scalable UI, API, and integration test automation for an AI-driven cloud operations platform. Develop test strategies for microservices and distributed systems, integrate automated testing into CI/CD pipelines, validate REST APIs and contracts, investigate defects, and use observability data to improve quality. Support cloud environments, test data, release coverage, code reviews, and shift-left and shift-right quality practices.
Summary Generated by Built In
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
- Design, develop, and maintain scalable automation frameworks and test suites across UI, API, and integration layers
- Collaborate with developers to embed quality practices early in the development lifecycle (shift-left)
- Develop and execute automated test cases and ensure integration into CI/CD pipelines
- Contribute to defining and implementing test strategies for microservices-based and distributed systems
- Perform API-first testing, including validation of REST endpoints and schema/contracts
- Identify, debug, and track defects, working closely with engineering teams for resolution
- Leverage logs, metrics, and traces to validate system behavior and improve production quality
- Ensure adequate test coverage and maintain high standards for release quality
- Contribute to improving automation frameworks, tools, and processes
- Participate in design and code reviews to improve testability and quality
- Support test data setup, environment configuration, and test execution in cloud environments
Desired Skills and Requirements
Must Have
- Strong programming experience in Python (preferred) or Java/JavaScript
- Hands-on experience with modern automation frameworks:
- Playwright / Cypress (UI Automation)
- Pytest, Robot Framework, or similar frameworks
- Strong experience in API testing:
- REST APIs using tools like Postman/Newman, REST Assured, or Python (requests)
- Experience with CI/CD tools such as Jenkins, GitHub Actions, or GitLab CI
- Solid understanding of cloud-native architectures (microservices, containers, distributed systems)
- Experience working with Docker and Kubernetes-based environments
- Strong understanding of SDLC and Agile methodologies
- Experience testing cloud-based applications, preferably on AWS
- Familiarity with contract testing / schema validation (OpenAPI, Pact, etc.)
- Exposure to observability tools such as Prometheus, Grafana, ELK/OpenSearch
- Familiarity with AI-driven or intelligent test automation tools
- Strong debugging and problem-solving skills
Good to Have
- Experience testing AI/ML-driven systems or data-intensive applications, including:
- Validating outputs for accuracy and consistency
- Understanding non-deterministic system behavior (e.g., LLM-based features)
- Experience with test data management and validation frameworks (e.g., Great Expectations)
- Knowledge of event-driven architectures (Kafka, messaging systems)
- Exposure to security testing fundamentals (OWASP)
- Experience with shift-right practices such as monitoring, logging, or canary validation
Soft Skills
- Strong collaboration and communication skills
- Proactive mindset with a focus on continuous improvement
- Ability to work independently while contributing effectively within a team
- Attention to detail with a strong sense of ownership
Experience
- 5-7 years of experience in test automation / quality engineering
- Proven experience working in agile, fast-paced product environments
- Experience contributing to automation frameworks and test strategy implementation
Education
- Bachelor’s degree in Computer Science or a related field
Skills Required
- 5-7 years of experience in test automation or quality engineering
- Strong programming experience in Python, Java, or JavaScript
- Hands-on experience with Playwright, Cypress, Pytest, Robot Framework, or similar automation frameworks
- Strong experience with API testing and REST APIs
- Experience with CI/CD tools such as Jenkins, GitHub Actions, or GitLab CI
- Understanding of cloud-native architectures, microservices, containers, and distributed systems
- Experience with Docker and Kubernetes-based environments
- Experience testing cloud-based applications, preferably on AWS
- Familiarity with contract testing and schema validation, such as OpenAPI or Pact
- Exposure to observability tools such as Prometheus, Grafana, ELK, or OpenSearch
- Bachelor's degree in Computer Science or a related field
- Experience testing AI/ML-driven systems or data-intensive applications
- Experience with test data management and validation frameworks such as Great Expectations
- Knowledge of event-driven architectures and Kafka or messaging systems
- Exposure to security testing fundamentals, including OWASP
- Experience with shift-right practices such as monitoring, logging, or canary validation
- Familiarity with AI-driven or intelligent test automation tools
MontyCloud Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about MontyCloud and has not been reviewed or approved by MontyCloud.
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Fair & Transparent Compensation — Feedback suggests compensation and benefits are viewed favorably overall, indicating competitive pay positioning for many roles.
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Healthcare Strength — Job postings indicate medical, dental, and vision coverage as part of a comprehensive package in the U.S.
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Equity Value & Accessibility — Listings highlight equity participation as a standard component, signaling accessible ownership opportunities for employees.
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The Company
What We Do
MontyCloud is a Seattle, WA based intelligent Cloud Management Platform Company. Our customers use MontyCloud DAY2™ to instantly close the cloud skills gap, simplify CloudOps, and reduce the total cost of cloud operations up to 70%, all in just a few clicks. By leveraging the AWS public cloud, AI, and ML, DAY2 ™ simplifies provisioning, security, compliance, cost optimization, and routine operations. DAY2™’s automation first, No-Code approach helps customers immediately derive deep insights and deliver intelligent Cloud Operations in just a few minutes. You can try the platform for free at https://MontyCloud.com
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