Principal Technology Architect - QA

Precisely International Jobs

5h•Remote

About The Position

Precisely is the leader in data integrity, empowering businesses to make more confident decisions based on trusted data. We are building the next generation of our SaaS platform and need someone to own the quality architecture. As a Principal Technology Architect - QA, you will design the systems, standards, and governance to elevate quality across all product segments. This role involves implementing AI-driven testing, intelligent automation, and modern quality tooling. It is a hands-on architecture position where you will build test frameworks, design quality gates, set reliability targets, and create shared infrastructure. You will collaborate with engineering leadership to align quality strategy with business outcomes, mentor engineers, shape hiring practices for quality mindset, and grow technical leaders. We are looking for individuals excited about solving complex problems at scale, rethinking quality in a modern SaaS organization, and improving processes.

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent work experience.
15+ years of progressive experience in software quality engineering, test architecture, or related technical leadership roles.
Demonstrated org-wide architecture leadership.
Deep expertise in test automation frameworks, CI/CD pipeline design, quality gate implementation, and testing strategies for large-scale SaaS platforms.
Hands-on experience applying AI to quality workflows (e.g., AI-driven test generation, intelligent test selection, or automated defect detection).
Track record of driving adoption of technical standards across multiple teams or product areas, including working with leaders who do not report to you.
Comfortable using generative AI tools (e.g., GitHub Copilot, Claude Code, or custom LLM integrations) to accelerate day-to-day quality workflows such as test generation, defect triage, and root-cause analysis.
Able to critically evaluate AI-generated outputs and set guardrails so that AI-produced test artifacts meet reliability, security, and compliance standards.
Experience evaluating and integrating AI-powered quality tools (e.g., autonomous testing platforms, AI-based test maintenance, predictive analytics for defect detection) into org-wide workflows.
Open to continuously adopting new AI capabilities as they emerge and excited to shape how the org integrates them into quality practices.

Nice To Haves

An advanced degree is a plus.
Experience defining and scaling quality practices across multiple product segments in a large SaaS or cloud-native organization.
Familiarity with contract testing, chaos engineering, or advanced reliability practices (SLOs/SLIs, error budgets).
Experience establishing quality centers of excellence or community-of-practice models across engineering organizations.
Exposure to security testing practices, compliance frameworks, or regulated industry quality standards.
Experience with observability and monitoring platforms (Datadog, Splunk, Grafana, PagerDuty) at an architectural level.
Track record of representing an organization externally through conference talks, published writing, or industry working groups in quality engineering.

Responsibilities

Set the quality architecture direction for the organization, including designing quality gates, defining reliability targets, and selecting testing infrastructure for all product segments.
Build and maintain a governance model for quality practices to ensure consistent adoption of standards, processes, and tooling across engineering teams.
Design and deliver scalable test automation frameworks that teams can adopt and extend to enhance coverage, speed, and confidence in releases.
Integrate AI into quality engineering by evaluating and implementing AI-driven test generation, intelligent test selection, defect prediction, and automated monitoring.
Own the performance and resilience strategy, including setting performance budgets, defining monitoring standards, and creating disaster recovery and incident response frameworks.
Partner with product and engineering leaders to balance release velocity with system health, ensuring rapid shipping without compromising quality.
Evaluate and introduce new tools, patterns, and practices to keep the quality approach current with platform and industry evolution.
Mentor engineers across teams, improve hiring practices for quality mindset, and contribute to overall engineering maturity.
Represent Precisely externally as a thought leader in quality engineering through talks, writing, or industry engagement.