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.
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
MontyCloud Bengaluru, Karnataka, IND Office
Bengaluru, India, 560102
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