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Remote Interoperability Engineer Jobs (NOW HIRING)

This hands-on, high impact and fully remote U.S. based role will have the opportunity to influence ... Develop and consume RESTful APIs and work with JSON, XML, and CSV for interoperability with EHRs ...

Sr Software Developer

Cary, NC · Remote

$51 - $67.25/hr

Senior Software Developer - HIE Production Support (Healthcare Interoperability)- Remote US Government & Public Sector - Healthcare Services & Support We're a leader in data and AI. Through our ...

Collaborate with system engineers and architects to ensure interoperability across software ... Remote

Senior Data Protection Engineer (REMOTE)

Worcester, MA · Remote

$114K - $156K/yr

... Engineer to join our IT Security organization in Worcester, MA or in a remote capacity. POSITION ... Design and develop solutions addressing new features, interoperability, vulnerabilities, and system ...

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Remote Interoperability Engineer information

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$38K

$115.9K

$191.5K

How much do remote interoperability engineer jobs pay per year?

As of Jun 27, 2026, the average yearly pay for remote interoperability engineer in the United States is $115,864.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,000.00 and $151,500.00 per year, depending on experience, location, and employer.

What is the difference between Remote Interoperability Engineer vs Network Engineer?

AspectRemote Interoperability EngineerNetwork Engineer
CredentialsTypically requires certifications like CCNA, CompTIA Network+Similar certifications such as CCNA, CompTIA Network+
Work EnvironmentRemote or hybrid, focusing on system interoperability and integrationPrimarily on-site or remote, managing network infrastructure
Industry UsageUsed in healthcare, tech, and enterprise sectors for system compatibilityCommon across IT, telecommunications, and enterprise networks

The Remote Interoperability Engineer and Network Engineer roles share similar certifications and work environments, but the former specializes in ensuring different systems and platforms work seamlessly together remotely, while the latter focuses on designing, implementing, and maintaining network infrastructure.

More about Remote Interoperability Engineer jobs
What cities are hiring for Remote Interoperability Engineer jobs? Cities with the most Remote Interoperability Engineer job openings:
What are the most commonly searched types of Interoperability Engineer jobs? The most popular types of Interoperability Engineer jobs are:
What states have the most Remote Interoperability Engineer jobs? States with the most job openings for Remote Interoperability Engineer jobs include:
Infographic showing various Remote Interoperability Engineer job openings in the United States as of June 2026, with employment types broken down into 97% Full Time, and 3% Contract. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution, with an average salary of $115,864 per year, or $55.7 per hour.
Software Product Engineer (Remote Opportunity)

Software Product Engineer (Remote Opportunity)

VetsEZ

Tampa, FL • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 24 days ago


Job description

We are currently looking for a Software Product Engineer for a 100% remote position on a large federal government project. This role focuses on designing, developing, and deploying AI-enabled applications that improve healthcare workflows, automate complex processes, and support data-driven decision-making.
The engineer will work within a collaborative development environment to build scalable cloud-native systems and integrate modern AI capabilities into healthcare technology platforms. The ideal candidate is a hands-on engineer with experience building AI-driven services, integrating large language models, and developing secure, scalable applications that support mission-critical systems.
The candidate must reside within the continental US.
Responsibilities
  • Design and develop AI-enabled services and applications using Python and modern cloud-native architectures.
  • Integrate Large Language Models (LLMs) and AI APIs into production systems to support intelligent automation and decision-making.
  • Build scalable microservices and REST APIs that support AI-driven workflows and data processing.
  • Develop data pipelines and services that process structured and unstructured data for intelligent applications.
  • Implement secure APIs and event-driven architectures that support system integration and AI-enabled services.
  • Optimize AI-powered applications for performance, reliability, scalability, and maintainability in cloud environments.
  • Collaborate with engineers, product teams, and stakeholders to translate business and AI requirements into deployable solutions.
  • 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, Software Engineering, Artificial Intelligence, or a related technical discipline.
  • Minimum of 5 years of hands-on experience developing or deploying AI-enabled applications.
  • Experience developing cloud-native applications using AWS, Microsoft Azure, or Google Cloud Platform.
  • Experience building REST APIs, microservices, and distributed systems that support scalable AI workflows.
  • Experience working with modern software development practices, including Git, CI/CD pipelines, containerization, and DevOps methodologies.
  • Strong programming skills in Python for developing AI-enabled applications, APIs, and microservices.
  • Experience with JavaScript and/or TypeScript to support AI integrations within user-facing applications.
  • Hands-on experience integrating Large Language Models (LLMs) and AI services such as OpenAI, Amazon Bedrock, Anthropic Claude, or similar technologies.
  • Experience developing scalable, secure, and reliable cloud-based applications.
  • Familiarity with containerization technologies and cloud-native application development.
  • Demonstrated experience using AI-assisted development tools such as Cursor, GitHub Copilot, OpenAI Codex, or Claude Code.
  • Strong analytical and problem-solving abilities.
  • Excellent verbal and written communication skills.
  • Ability to collaborate effectively within cross-functional engineering teams.
  • Strong attention to detail and commitment to delivering high-quality software solutions.
  • Ability to manage multiple priorities in a fast-paced development environment.

Additional Qualifications
  • Experience deploying AI solutions within regulated environments such as healthcare or federal government systems.
  • Familiarity with healthcare interoperability standards including FHIR and HL7.
  • Experience with LLM orchestration frameworks, agent-based architectures, or intelligent automation platforms.
  • Experience with Docker, Kubernetes, or other container orchestration technologies.
  • Experience supporting Department of Veterans Affairs (VA) projects.
  • Ability to obtain and maintain a U.S. government clearance.

Benefits
  • Medical, Dental, and Vision Insurance.
  • 401(k) with Employer Match.
  • Paid Time Off (PTO) and Federal Holidays.
  • Corporate Laptop.
  • Professional Development and Training Opportunities.
  • 100% Remote Opportunity.

Selected candidates will be required to complete fingerprinting at a government facility and undergo a background check as part of the hiring process.
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.