Quality Engineer

Consensus Cloud Solutions is a publicly traded, leading digital cloud fax and interoperability solutions organization in the United States and globally, focusing on connecting and empowering healthcare providers, payers, care teams, and technology innovators to unify multiple systems that wouldn’t otherwise talk to each other. Consensus is a trailblazer in our industry and believes that data transformation will reshape the world of healthcare.

Founded over 25 years ago, Consensus leverages its technology heritage to move from simple digital documents to advanced healthcare standards (HL7/FHIR) for secure data transport, as well as Natural Language Processing (NLP) and Artificial Intelligence (AI) to convert unstructured to structured, analytics-ready data, helping users unveil information that is meaningful and actionable for better patient care.

Consensus leads the industry in data exchange solutions and we’re only getting started! With exciting new initiatives on the horizon, we are continuing our strategic expansion and we are looking to add to our diverse team of innovators. Now is the ideal time to join us in our mission to solve healthcare’s biggest challenges, and work collaboratively with a diverse team of like-minded self-starters and partners to accomplish it.

Consensus Cloud Solutions is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive and equitable environment for all employees. We offer many remote and hybrid career opportunities.

The Staff Quality Engineer acts as a strategic technical leader within the Product and Technology organization. This role is responsible for defining next-generation QA strategies and leading AI/ML-driven automation initiatives. The Staff Quality Automation Engineer will drive productivity by implementing enterprise-wide efficiency metrics and creating a QA-driven culture that aligns strictly with business objectives. This individual is expected to influence peers positively, lead by example, and ensure the highest standards of software reliability.

• Strategic Architecture & Innovation:
  Lead the design and implementation of scalable test automation frameworks. Define next-generation QA strategies and spearhead the adoption of AI/ML-driven automation tools to drive continuous innovation.
• Operational Efficiency:
  Drive engineering productivity by implementing enterprise-wide test automation efficiency metrics. Integrate AI-based optimizations into the CI/CD pipeline to reduce cycle times and eliminate manual toil.
• Cultural Leadership & Alignment:
  Champion a QA-driven culture across the organization. Collaborate with product and engineering leadership to ensure that quality goals are directly aligned with broader business objectives and customer needs.
• Advanced Problem Solving:
  Proactively identify, troubleshoot, and solve complex systemic issues before they impact production. Anticipate potential roadblocks in the development lifecycle and communicate them effectively to stakeholders without overreacting.
• Technical Communication:
  Translate and communicate complex technical topics to larger, less technical audiences with confidence. Create and maintain comprehensive documentation for architecture, processes, and testing standards.
• Mentorship & Team Growth:
  Lead by example through a strong work ethic, professional attitude, and total accountability. Influence peers positively and provide informal mentorship to elevate the technical capabilities of the team.
• Collaborative Reach:
  Establish a strong cross functional relationships to ensure automation supports release velocity, system reliability and business continuity.
• Ownership:
  Takes full accountability at given tasks, releases at different environments (Dev, Test and PROD) from quality testing standpoint.
• Decision Making:
  Makes high impact technical decisions that balance speed, coverage and system stability with minimizing production risk.
• Demonstrated ability to operate in a proactive, prevention-focused manner by anticipating risks, identifying gaps early in the development lifecycle, and implementing forward-thinking quality strategies…