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Interoperability Jobs in Atlanta, GA (NOW HIRING)

Public Health Technical Lead

Atlanta, GA · On-site

$102K - $170K/yr

Support the application of interoperability standards such as HL7 v2, FHIR, CDA, APIs, and terminology systems within public health contexts. * Lead technical discussions, design sessions, and ...

Security Cooperation Advisor

Atlanta, GA · On-site

$105K - $153K/yr

SMX is seeking a Security Cooperation Advisor to contribute to defense modernization and allied interoperability efforts across INDOPACOM. This position supports the development and implementation of ...

Drive innovation through automation, AI-enabled solutions, system interoperability, and scalable business processes that support the growth of Dolby Cloud Services. Operational Execution and Issue ...

Develop solution prototypes to demonstrate suitability and interoperability of chosen components, and to establish patterns for adoption by development team members * In the context of solution ...

Senior AWS Solution Architect

Atlanta, GA · On-site +1

$130K - $150K/yr

Develop solution prototypes to demonstrate suitability and interoperability of chosen components, and to establish patterns for adoption by development team members * In the context of solution ...

AI Architect

Atlanta, GA · On-site

$60.50 - $79.75/hr

The ideal candidate will have expertise in AI/ML technologies, cloud platforms, healthcare interoperability standards, and regulatory compliance, with experience delivering AI solutions in healthcare ...

Showing results 21-40

Interoperability information

See Atlanta, GA salary details

$35.6K

$103.4K

$155.4K

How much do interoperability jobs pay per year?

As of Aug 16, 2026, the average yearly pay for interoperability in Atlanta, GA is $103,428.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,703.00 and $127,707.00 per year, depending on experience, location, and employer.

What is an interoperability?

An Interoperability job focuses on ensuring that different systems, applications, or devices can communicate and work together seamlessly. Professionals in this field develop and implement standards, protocols, and integration strategies to enable data exchange across platforms. They often work in industries like healthcare, IT, and finance, where system connectivity is critical. Their responsibilities may include API management, data mapping, and troubleshooting integration issues.

What are the main challenges faced by professionals working in interoperability roles?

Professionals in Interoperability roles often encounter challenges related to aligning disparate systems, managing data standards, and ensuring secure and accurate information exchange across platforms. They must troubleshoot issues caused by variations in data formats or inconsistent implementation of protocols, all while collaborating closely with IT, clinical, and vendor teams. Effective communication and a strong understanding of both technical requirements and organizational workflows are essential for resolving these challenges. Overcoming these obstacles is vital to support seamless data flows, which greatly enhances patient care and operational efficiency.

What are the key skills and qualifications needed to thrive in the interoperability position, and why are they important?

To excel in an Interoperability role, you need expertise in data integration, healthcare information exchange standards (such as HL7, FHIR, or EDI), and project management, often backed by a degree in health informatics, computer science, or related fields. Familiarity with integration engines (like Mirth Connect or Cloverleaf), APIs, data mapping tools, and relevant certifications (e.g., Certified Health Data Analyst, HL7 certification) is highly valued. Strong analytical thinking, effective communication, and problem-solving abilities are important soft skills for collaborating with cross-functional teams and addressing connectivity challenges. These skills are crucial to ensure seamless data exchange and system compatibility within complex healthcare or enterprise environments.

What is the role of interoperability?

In the context of interoperability roles, the job involves ensuring different systems, devices, or software applications can communicate and work together effectively. This often requires knowledge of standards, protocols, and integration tools to facilitate seamless data exchange and system compatibility.

What are popular job titles related to Interoperability jobs in Atlanta, GA?

For Interoperability jobs in Atlanta, GA, the most frequently searched job titles are:

Infographic showing various Interoperability job openings in Atlanta, GA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $103,428 per year, or $49.7 per hour.

Senior Test Engineer (Remote Opportunity)

VetsEZ

Atlanta, GA • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago


Job description

VetsEZ is currently looking for a Senior Test Engineer for a 100% remote position supporting a large federal government healthcare modernization project. In this role, you will support the development, validation, and automation of an AI-powered Patient Health Data Summarization capability within the Joint Longitudinal Viewer (JLV) Clinical Decision Support (CDS) platform. The ideal candidate will have strong healthcare interoperability experience, knowledge of C-CDA standards, experience testing complex healthcare applications, and hands-on experience with test automation and AI-enabled quality engineering.
The candidate must reside within the continental US.
Responsibilities
  • Develop comprehensive test plans, test cases, and acceptance criteria for AI-powered patient summarization capabilities.
  • Create traceability between business requirements, clinical data standards, and test scenarios.
  • Design test coverage across clinical document types, including Continuity of Care Documents (CCD), Discharge Summaries, Progress Notes, and History & Physical documents.
  • Develop positive, negative, boundary, and edge-case testing scenarios for AI-enabled clinical applications.
  • Analyze and validate C-CDA XML documents, including headers, sections, templates, and clinical entries.
  • Verify accurate extraction and summarization of clinical information, including medications, allergies, laboratory results, procedures, care plans, and diagnoses.
  • Ensure AI-generated summaries accurately reflect source clinical documentation and maintain traceability to original clinical sources.
  • Perform functional, integration, system, regression, performance, and user acceptance testing.
  • Develop and maintain automated test suites for document ingestion, AI summarization, APIs, and user interfaces.
  • Test CDS workflows and patient-context-driven launch scenarios across multiple data sources and patient encounters.
  • Support CI/CD pipelines through automated quality gates and continuous testing.
  • Build automated validation frameworks for AI-generated summaries.
  • Evaluate AI-generated content for clinical completeness, consistency, usability, accuracy, and reliability.
  • Identify omissions, inaccuracies, hallucinations, and other AI-generated defects that could impact clinical workflows.
  • Validate AI guardrails, monitoring capabilities, auditability, and quality controls.
  • Participate in defect triage, root-cause analysis, and release-readiness activities.
  • Create test documentation, defect reports, traceability matrices, and quality assessments.
  • Collaborate with software engineers, solution architects, clinicians, product owners, cybersecurity teams, and government stakeholders.
  • Leverage AI-assisted tools to accelerate test development, test automation, regression testing, defect analysis, and quality assurance activities.
  • Take on additional tasks and responsibilities as needed to support team objectives and ensure the success of the project.

Requirements
  • Bachelor's degree in Computer Science, Information Technology, Health Informatics, Engineering, or a related technical discipline, or equivalent experience.
  • Minimum of 5 years of experience testing healthcare software applications.
  • Strong knowledge of Consolidated Clinical Document Architecture (C-CDA) standards, including clinical document structure, sections, templates, and entries.
  • Hands-on experience reading, validating, and troubleshooting XML-based healthcare data.
  • Experience with healthcare interoperability standards and clinical data exchange.
  • Experience testing Clinical Decision Support (CDS) applications and workflows.
  • Familiarity with SMART on FHIR, CDS Hooks, REST APIs, and related interoperability technologies.
  • Experience with test automation frameworks, API testing tools, and defect management platforms.
  • Experience developing and maintaining automated testing solutions within Agile and DevSecOps environments.
  • Experience with AI-assisted testing tools and techniques for test case generation, automation development, regression testing, defect analysis, and quality assurance.
  • Familiarity with Generative AI and Large Language Models (LLMs), including using AI to create and maintain automated test scripts, validation frameworks, and test data.
  • Experience validating AI-generated outputs and establishing quality controls for accuracy, consistency, repeatability, and reliability.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Excellent written and verbal communication skills.

Additional Qualifications
  • Experience supporting Department of Veterans Affairs (VA) healthcare systems, including JLV or similar clinical viewer applications.
  • Knowledge of USCDI and healthcare interoperability requirements.
  • Familiarity with healthcare terminologies such as SNOMED CT, LOINC, RxNorm, and ICD.
  • Experience validating AI/ML-enabled healthcare solutions.
  • Experience with AI-powered testing platforms such as GitHub Copilot, Microsoft Copilot, Testim, Functionize, Mabl, or similar tools.
  • Experience creating autonomous or semi-autonomous AI testing workflows, including test-case generation, coverage analysis, synthetic test data, and automated defect triage.
  • Understanding of prompt engineering and AI evaluation methodologies for software quality assurance.
  • Knowledge of accessibility and usability testing within healthcare environments.
  • Experience working within Agile, DevSecOps, and cloud-native development environments.
  • Exposure to healthcare data analytics and modernization initiatives within federal healthcare agencies.

Security Clearance Requirements
U.S. Citizenship is required.
All selected candidates must successfully complete a background check.
Ability to obtain and maintain a Government/Public Trust clearance, including required fingerprinting, when required for the position.
Benefits
  • Medical/Dental/Vision.
  • 401k with Employer Match.
  • PTO + Federal Holidays.
  • Corporate Laptop.
  • Training Opportunities.
  • Remote Opportunity.

VetsEZ is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status.
Sorry, we are unable to offer sponsorship at this time.