Lirio · 19 hours ago
Lead, Software Quality Assurance- Contract-to-Hire
Lirio is a technology/software company that specializes in behavioral science, data science, and machine learning to enhance consumer engagement and health interventions. The Software QA Lead Engineer is responsible for overseeing quality strategy and execution across Lirio’s platform, leading a shift-left quality approach, and mentoring QA engineers to ensure reliable software releases.
Artificial Intelligence (AI)Health CareInformation TechnologyMachine Learning
Responsibilities
Lead the design, implementation, and execution of comprehensive test strategy across APIs, services, event-driven workflows (Kafka), and UI surfaces
Own and evolve automated test coverage (unit, integration, contract, end-to-end) and maintain a risk-based manual test strategy where automation is not practical
Ensure test coverage for functional, regression, integration, performance, and reliability testing (timeouts, retries, idempotency, failure modes)
Advocate for quality engineering practices (TDD where appropriate, CI quality gates, code review standards, and testability in design)
Define and maintain quality gates in CI/CD (e.g., minimum coverage thresholds, contract test pass, critical path E2E pass, vulnerability scan pass where applicable)
Partner with Cloud/SRE to validate release readiness via observability (logging, metrics, tracing) and operational dashboards
Embed quality and testability considerations into feature and system design by reviewing application logic, APIs, data models, event contracts, and UI workflows in partnership with engineers
Establish and enforce standards for automation quality, including flakiness reduction, stabilization practices, clear ownership, and expectations for timely remediation of broken or unreliable tests
Define and document QA processes and best practices
Collaborate with product owners and developers to clarify requirements and acceptance criteria
Participate in backlog refinement and sprint planning to ensure testability of features
Facilitate agile ceremonies as needed
Build and maintain shared QA practices, documentation, and knowledge-sharing mechanisms (playbooks, training, cross-coverage) to avoid single points of failure across squads and releases
Standardize testing approaches for event-driven systems, including message schema validation, backward compatibility, replay scenarios, idempotency, ordering assumptions, and failure handling (Kafka and similar messaging technologies)
Stay current with industry trends, tools, and technologies in software testing
Promote continuous improvement and innovation within the QA team
Evaluate and adopt tooling that improves cycle time (local test environments, ephemeral environments, test data management)
Support production releases, participate in incident triage, and drive root cause analysis with Engineering, SRE/Cloud, and Customer Operations
Track defect escape trends and drive corrective actions (test additions, gating changes, process improvements)
Triage and resolve defects, collaborating with development and support teams
Qualification
Required
5-7 years of related experience
Bachelor's degree in related field
Experienced with test automation for APIs/services (e.g., JUnit/TestNG for JVM services, PyTest for Python services)
UI automation experience (e.g., Cypress or Playwright, Jasmine) where applicable
Performance testing (e.g., Gatling, k6, JMeter) and contract testing (e.g., Pact or equivalent) experience
Observability tooling familiarity (Datadog/OpenTelemetry concepts)
Familiarity with CI/CD tools and processes
Experience with version control (e.g., Git)
Cloud platforms (e.g., AWS, Azure)
Scripting and programming languages (e.g., Java, TypeScript, Groovy, Python)
Agile methodologies (e.g., Scrum, XP, SAFe)
Experience with Databases/SQL, Kafka, and Kubernetes
Leadership and coaching skills
Ability to operate in ambiguity and improve systems iteratively (not waiting for perfect process)
Strong judgment around risk-based testing and release decisions
Strong organizational and time management skills
Excellent communication and collaboration abilities
Adaptability and problem-solving skills
Ability to translate complex technical concepts for non-technical stakeholders
Benefits
Medical (HSA available)
Dental
Vision
Short-term & long-term disability (company-paid)
Life & AD&D (company-paid)
401K with company match
10 paid holidays, quarterly company closure dates, + holiday week company closure
Flexible time off policy
Work from home
6 weeks paid parental leave
Company
Lirio
Lirio is a behavior change AI platform that delivers behavioral engagement solutions for organizations.
Funding
Current Stage
Growth StageTotal Funding
$65MKey Investors
WR Hambrecht
2022-07-25Debt Financing· $3M
2022-05-12Series Unknown· $14.39M
2021-11-09Debt Financing· $1.36M
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