Senior Automation Engineer

Vervic Inc.; United States; Remote; USD 120,000 - 160,000; Full time

Benefits offered by this job

401(k)

401(k) matching

Dental insurance

Health insurance

Paid time off

Vision insurance

Job summary

Vervic Inc. seeks a Senior Automation Engineer to design, develop, and maintain the automation framework powering the CCN NG platform. You will build scalable automation services and CI/CD pipelines supporting continuous validation across healthcare transaction processing.

The role emphasizes platform reliability, reusable components, and collaboration with enterprise teams to enable rapid regression analysis and release readiness. This is a remote position.

Qualifications

• Bachelor's degree in a technical discipline or equivalent experience.
• 10+ years in software/automation engineering roles.
• Experience designing enterprise automation frameworks.
• Experience with API validation and system integration.

Responsibilities

• Design, develop, and maintain automation framework for end-to-end validation.
• Build reusable automation components for healthcare transaction workflows.
• Develop CI/CD pipelines and automate validation throughout the delivery lifecycle.
• Collaborate with cross-functional teams to support release readiness.

Skills

Automation Frameworks

Python/Java/C#

API Validation

CI/CD

Distributed Systems

Analytical Skills

Education

Bachelors in CS/Data Science/Engineering

Tools

Docker

Kubernetes

CI/CD Platforms

Job description

Benefits

• 401(k)
• 401(k) matching
• Dental insurance
• Health insurance
• Paid time off
• Vision insurance

Role: Senior Automation Engineer.

Location: 100% Remote.

Job Description

The Senior Automation Engineer is responsible for designing, developing, and maintaining the automation framework that powers the Synthetic Data & Automation Platform supporting the Community Care Network Next Generation (CCN NG) program. This role develops the automated integration validation capabilities that enable continuous testing, rapid regression analysis, and reliable verification of healthcare transaction processing across the CCN NG product portfolio.

Working as a member of the Synthetic Data & Automation Engineering Team, the Senior Automation Engineer builds scalable automation frameworks, API validation services, continuous integration pipelines, and reusable execution components that transform synthetic healthcare transaction data into repeatable integration validation. The role emphasizes engineering automation, platform reliability, and continuous delivery over traditional test script development.

Reporting to the Automation & Synthetic Data Architect, the Senior Automation Engineer collaborates closely with the Healthcare Interoperability Engineer, Senior Synthetic Data Engineer, Automation Intelligence Engineer, and Integration Validation Engineer to establish a robust automation platform supporting engineering, integration, and release readiness activities.

Description Mission

Design, develop, and continuously evolve the automation capabilities of the CCN NG Synthetic Data & Automation Platform by delivering scalable frameworks, automated integration validation, and continuous engineering pipelines that improve software quality, accelerate delivery, and reduce operational risk.

EOE

Job Responsibilities

Automation Platform Engineering

• Design, develop, and maintain the automation framework supporting end-to-end integration validation.
• Build reusable automation components capable of executing healthcare transaction workflows across multiple environments.
• Develop scalable automation services supporting continuous integration, regression validation, and release readiness.
• Ensure automation solutions are modular, maintainable, extensible, and reusable across the CCN NG product portfolio.

Integration Validation Automation

• Develop automated validation for healthcare transaction lifecycles, including eligibility, claims, payment, and related interoperability workflows.
• Build API validation services supporting system-to-system integration testing.
• Automate verification of transaction processing, business rules, and expected outcomes using synthetic healthcare transaction data.
• Develop automated regression suites that rapidly identify functional or integration defects following system changes.

Engineering Pipeline Integration

• Integrate automation capabilities into CI/CD and DevSecOps pipelines.
• Support continuous validation throughout the software delivery lifecycle.
• Develop automated reporting, execution metrics, and engineering dashboards.
• Improve engineering efficiency through automation of repetitive validation activities.

Engineering Collaboration

• Partner with the Senior Synthetic Data Engineer to integrate synthetic datasets into automated validation workflows.
• Collaborate with the Automation Intelligence Engineer to operationalize intelligent engineering workflows within the automation platform.
• Work closely with the Healthcare Interoperability Engineer to ensure validation logic accurately reflects healthcare business rules and interoperability standards.
• Support the Integration Validation Engineer by providing reliable automation capabilities that facilitate independent validation and release certification.

Platform Reliability

• Monitor, maintain, and continuously improve automation framework performance and reliability.
• Troubleshoot automation failures and identify opportunities for optimization.
• Promote engineering best practices supporting maintainability, scalability, and operational excellence.
• Contribute to architecture discussions regarding automation strategy and platform evolution.

Continuous Improvement

• Evaluate emerging automation technologies and engineering tools.
• Recommend enhancements that improve execution speed, reliability, and maintainability.
• Develop reusable engineering assets that can be leveraged across multiple development and integration teams.

Required Skills

• Experience designing and developing enterprise automation frameworks.
• Strong programming experience using Python, Java, C#, or comparable modern programming languages.
• Experience developing automated API validation and systems integration solutions.
• Experience implementing CI/CD pipelines and DevSecOps practices.
• Strong understanding of distributed systems, software architecture, and engineering automation.
• Excellent analytical, troubleshooting, and collaboration skills.

Desired Qualifications

• Experience supporting healthcare payer, provider, or federal healthcare systems.
• Familiarity with ANSI X12 healthcare transactions and healthcare interoperability standards.
• Experience building automated integration validation frameworks.
• Experience working with containerized applications and cloud-native technologies.
• Experience using AI-assisted software development tools such as Cursor, GitHub Copilot, or similar engineering platforms.
• Experience with Infrastructure as Code and automated deployment practices.
• Experience working within Agile software development environments.

Desired Technical Skills

• Python, Java, C#, or comparable programming languages
• API development and validation
• RESTful services
• Integration automation frameworks
• CI/CD platforms
• DevSecOps practicesGit-based source control
• Containerization (Docker, Kubernetes)
• Cloud-native application development
• Test automation frameworks
• Agile software engineering

Education and Experience

• Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Data Engineering, Information Systems, or a related technical discipline, or equivalent professional experience.
• Ten (10) or more years of experience, including seven (7) or more years of experience in software engineering, automation engineering, systems integration, or application development.

Success Measures (First 12-18 Months)

• Design and deliver the automation framework supporting the CCN NG Synthetic Data & Automation Platform.
• Implement automated integration validation covering prioritized healthcare transaction workflows using synthetic healthcare transaction data.
• Integrate automation capabilities into CI/CD pipelines, enabling continuous validation and rapid regression analysis.
• Develop reusable automation services and engineering components that improve platform scalability, maintainability, and operational efficiency.
• Reduce manual engineering effort through reliable automation while improving software quality and release confidence.
• Collaborate across the Synthetic Data & Automation Engineering Team to ensure automation capabilities seamlessly support synthetic data generation, intelligent engineering workflows, and independent integration validation.
• Continuously enhance the automation platform through innovation, standardization, and adoption of modern engineering practices.

This is a remote position.