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
Job Overview
MontyCloud is hiring a Principal Manager, Quality Engineering to own product quality for our AI-driven cloud operations platform.
You will be the quality voice in release, design, and incident decisions, and give engineering leadership a clear, data-backed view of product quality. You will build and grow a QE team designed for the AI era.
This is a hands-on leadership role. You will set the technical bar by working alongside the team, writing and reviewing automation code yourself.
Key ResponsibilitiesOwn quality decisions
- Represent quality in release readiness, design reviews, and incident reviews, and own the release go/no-go recommendation
- Define and enforce quality gates across the delivery pipeline, from pull request to production
- Drive shift-left by influencing architecture and design decisions to improve testability and reduce quality risk
Make quality visible
- Define and report quality metrics that give engineering leadership release confidence
- Check that test coverage and automation actually catch issues before they reach production
- Expand shift-right beyond post-release smoke and sanity tests: continuous checks on critical customer journeys, quality validation during rollouts, and turning production incidents into automated regression tests
Build the QE team for the AI era
- Define what an SDET team looks like in the AI era: roles, skills, seniority mix, and how engineers work alongside AI agents
- Build and grow the QE team: hire, develop, and hold engineers to that standard
Use AI to scale quality engineering
- Build test automation systems that scale with minimal maintenance, using AI across the QE lifecycle, from test generation to release validation
- Drive adoption of AI coding assistants and agents across the QE team, with clear guardrails on quality and ownership
- Set review standards for AI-generated tests and code
- Measure the impact of AI on test quality, coverage, speed, and effort
Lead the test automation platform
- Own the direction of test automation frameworks across UI, API, SDK, CLI, MCP, and integration layers
- Drive API-first testing, including contract and schema validation
- Define test strategies for complex cloud operations workflows that span multiple clouds, customer accounts, and distributed services
- Partner with SRE on test environments and cloud-based execution
- 10-15 years in quality engineering or test automation, with 4+ years leading QE teams
- Track record of building or growing a QE team: defining roles, hiring, and setting the technical bar
- Strong hands-on programming in Python, Java, or JavaScript/TypeScript, and currently writing and reviewing automation code
- Hands-on experience testing applications and asynchronous, event-driven workflows built on AWS or Azure, with working knowledge of core AWS services and containers (ECS, EKS), and experience building cloud-native applications
- Hands-on experience with modern test automation frameworks (Playwright, Pytest, or equivalent), including designing frameworks for low maintenance at scale
- Hands-on use of AI across the QE lifecycle, built and used in a team's daily work, not proofs of concept, with standards for reviewing AI-generated code
- Strong expertise in API testing and contract or schema validation across APIs, SDK, CLI, and MCP
- Experience designing CI/CD quality gates (AWS CodeBuild and CodePipeline preferred, or equivalent)
- Quality engineering for agentic systems: end-to-end testing of agent workflows, tool calls, and outputs, including non-deterministic behavior and regression across releases
- Performance and scale testing for a multi-tenant SaaS platform, covering APIs and cloud operations workflows
- Working knowledge of observability tools (Datadog or similar)
- Exposure to security testing and compliance standards (OWASP, SOC 2, or similar)
- Top-notch written and verbal communication, from engineering teams to executive leadership, including quality reports that are short, specific, and honest about risk
- Owns release quality decisions, holds a clear position on quality and defends it with data in front of senior engineering and product leaders
- Influences engineering and product teams without relying on direct authority
- Thrives in a fast-paced, high-ownership environment
- 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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