The Role
The Lead SDET will drive the quality strategy for a cloud-native SaaS platform, focusing on automation, testing frameworks, and team mentorship in a collaborative environment.
Summary Generated by Built In
Job Overview
We are seeking a highly motivated and experienced Lead SDET – Quality Engineering to drive the quality strategy for our AI-driven cloud operations platform. This role will focus on building scalable, reliable, and intelligent test automation systems, enabling high-quality releases in a fast-paced SaaS environment.
The ideal candidate will champion modern quality engineering practices, including automation, cloud-native testing, and observability-driven validation. This role goes beyond traditional QA to ensure end-to-end product quality across distributed systems.
Key Responsibilities
- Lead and drive the quality engineering strategy for our cloud-native SaaS platform
- Design, develop, and maintain scalable automation frameworks and test suites across UI, API, and integration layers
- Collaborate closely with engineering teams to embed quality practices within the development lifecycle (shift-left)
- Ensure seamless integration of automated tests into CI/CD pipelines with appropriate quality gates
- Define and implement test strategies for microservices-based and distributed systems
- Establish best practices for test design, execution, and reporting, continuously improving frameworks and processes
- Drive API-first testing strategy, including contract and schema validation
- Utilize observability tools (logs, metrics, traces) to validate system behavior and improve production quality (shift-right)
- Work with product and engineering teams to ensure high test coverage and release confidence
- Experience with performance and load testing for cloud-native, distributed systems, including defining strategies, evaluating tools (e.g., k6, Locust, Gatling), and ensuring system scalability and reliability at scale
- Mentor and manage a team of quality engineers, fostering a culture of ownership, innovation, and continuous improvement
- Participate in architecture and design discussions to influence testability and quality
Must Have
- Strong programming experience in Python (preferred) or Java/JavaScript
- Hands-on experience with modern automation frameworks:
- Playwright / Cypress (UI Automation)
- Pytest / Robot / 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 software development lifecycle (SDLC) and Agile methodologies
- Experience leading or contributing to modernization/migration initiatives (e.g., legacy to modern automation frameworks, tooling consolidation, platform upgrades)
- 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
Good to Have
- Experience with AI/ML-driven systems testing, including:
- Validating model outputs for accuracy and consistency
- Testing non-deterministic systems (e.g., LLM-based features)
- Understanding of data quality, drift, and bias considerations
- Knowledge of event-driven architectures (Kafka, messaging systems) and testing strategies
- Exposure to security testing fundamentals (OWASP)
- Experience implementing shift-right practices such as synthetic monitoring or canary validation
Soft Skills
- Ability to drive quality culture across teams
- Proactive mindset with a focus on continuous improvement
- Ability to work in a fast-paced, collaborative environment
Experience
- 8-12 years of experience in test automation / quality engineering
- Strong leadership and mentoring capabilities
- Excellent analytical, problem-solving, and debugging skills
- Strong communication and stakeholder management skills
Education
- Bachelor’s degree in Computer Science or a related field
Skills Required
- Strong programming experience in Python (preferred) or Java/JavaScript
- Hands-on experience with modern automation frameworks such as Playwright / Cypress
- Strong experience in API testing using tools like Postman/Newman and REST Assured
- Experience with CI/CD tools such as Jenkins, GitHub Actions, or GitLab CI
- Solid understanding of cloud-native architectures like microservices and distributed systems
- Experience working with Docker and Kubernetes-based environments
- Strong understanding of software development lifecycle (SDLC) and Agile methodologies
- Experience leading modernization/migration initiatives
- Experience testing cloud-based applications, preferably on AWS
- Familiarity with observability tools such as Prometheus, Grafana, ELK/OpenSearch
- 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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