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
We are seeking an experienced and visionary Principal Manager – Software Development Engineer in Testing to lead and scale quality engineering practices for our AI-driven cloud operations platform. This role is responsible for driving the organization-wide quality strategy, building high-performing teams, and ensuring the delivery of reliable, scalable, and high-quality products in a fast-paced SaaS environment. The ideal candidate combines technical depth, leadership excellence, and strategic thinking to establish quality engineering as a core competitive advantage.
Key Responsibilities- Drive and evolve the organization-wide quality engineering strategy for our cloud-native SaaS platform
- Lead and standardize quality platforms, automation toolchains, and engineering best practices across teams in collaboration with platform and engineering groups
- Establish and govern quality gates, release processes, and reporting standards to ensure consistent delivery quality
- Define and track quality metrics and KPIs (e.g., defect leakage, coverage, release confidence) to drive continuous improvement
- Build, mentor, and scale high-performing quality engineering teams across multiple pods
- Drive hiring, org design, career development, and performance management for the QE function
- Lead the evolution of scalable automation frameworks and quality platforms across UI, API, and integration layers
- Define and implement test strategies for microservices-based and distributed systems
- Ensure effective integration of quality engineering within CI/CD pipelines with strong quality gates
- Drive API-first testing strategies, including contract and schema validation at scale
- Leverage observability (logs, metrics, traces) to enable production validation and improve system reliability (shift-right)
- Influence architecture and design decisions to improve testability, scalability, and overall system quality
- Partner with Engineering, Product, and Platform teams to embed quality practices early in the development lifecycle (shift-left)
- Support and evolve approaches for testing AI/ML-driven features, including validation of non-deterministic outputs
- Define and oversee performance and load testing strategies for distributed systems (k6, Locust, Gatling, etc.)
- Collaborate with SRE and infrastructure teams on test environments, tooling, and cloud-based execution
- Contribute to strategic planning and tooling decisions for quality engineering
- 12-16 years of experience in quality engineering / test automation, with 5+ leadership experience
- Proven experience managing and scaling Quality Engineering teams (10+ members preferred)
- Experience leading modernization/migration initiatives (e.g., legacy to modern automation frameworks, tooling consolidation, platform upgrades)
- Strong programming background in Python, Java, or JavaScript
- Hands-on experience with modern test automation frameworks (Playwright/Cypress, Pytest or equivalent)
- Strong expertise in API testing and distributed systems validation
- Experience working with CI/CD pipelines and quality gates (Jenkins, GitHub Actions, GitLab CI)
- Solid understanding of cloud-native architectures (microservices, containers, distributed systems)
- Experience with Docker and Kubernetes-based environments
- Familiarity with cloud platforms (AWS preferred)
- Experience with contract testing / schema validation (OpenAPI, Pact)
- Working knowledge of observability tools (Prometheus, Grafana, ELK/OpenSearch)
- Experience with performance and load testing for distributed systems (k6, Locust, Gatling, etc.)
- Strong understanding of SDLC, Agile, and DevOps practices
- Familiarity with AI-driven or intelligent test automation tools
- Experience with AI/ML-driven systems or data-intensive platforms, including testing strategies
- Knowledge of event-driven architectures (Kafka, messaging systems)
- Exposure to security testing and compliance standards (OWASP, SOC2, etc.)
- Strong leadership and people management capabilities
- Ability to influence cross-functional teams and senior stakeholders
- Strong decision-making and problem-solving skills
- Ability to thrive in a fast-paced, high-growth environment
- 12-16 years of experience in quality engineering / test automation
- 5+ years of experience in engineering management / leadership roles
- Proven track record of driving quality transformation initiatives at scale
- 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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