Job Overview
We are seeking an experienced and visionary
Principal Engineering Manager – Quality Engineering
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
Must Have
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
Good to Have
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.)
Leadership & Soft Skills
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
Experience
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
Education
Bachelor’s degree in Computer Science or a related field
