The EDI & Integrations Specialist owns and supports EDI data flows between the McLeod TMS platform and Ryan Transportation’s trading partners. This role leads partner implementations, troubleshoots production issues, and coordinates with trading partners.
Responsibilities
Own and support EDI data flows between the McLeod TMS platform and Ryan Transportation’s trading partners
Design, build, and maintain scalable automation frameworks for web applications, APIs, and backend services, integrating AI tools and CI/CD pipelines to improve QA efficiency.
Responsibilities
Design, build, and maintain scalable automation frameworks for web applications, APIs, and backend services.
Develop automated functional, integration, regression, API, and end-to-end testing using tools such as WebdriverIO, Playwright, and Pytest.
Integrate automated testing into CI/CD pipelines, improving test coverage, release quality, and deployment confidence.
Use AI tools to accelerate test creation, identify edge cases, analyze failures, debug automation, and reduce repetitive QA work.
Partner closely with Engineering and Product to identify quality risks, troubleshoot complex issues, and ensure quality throughout the development lifecycle.
Design and build secure AI infrastructure for production AI agents, develop control planes, APIs, and tooling, and collaborate with researchers to transition prototypes into production.
Responsibilities
Design and build secure AI infrastructure for production AI agents
Develop Agent Control Plane capabilities that manage, monitor, and secure agent execution
Build embedded controls and security mechanisms directly into AI agents
Develop reusable services, APIs, and developer tooling that support AI applications
Build and maintain integrations with modern Agent SDKs and Model Context Protocol (MCP)
Requirements
Nice to have: Agent Control Planes
Nice to have: embedded controls or policy enforcement within AI agents
Build scalable back-end services using Go and Python, design and deploy containerized microservices, optimize graph database queries, and contribute to CI/CD workflows in a cloud-native environment.
Responsibilities
Build scalable back-end services using Go and Python
Design and deploy containerized microservices using Kubernetes
Optimize graph database queries and models in Neo4j
Collaborate cross-functionally with Product, Engineering, and Clinical Ops
Develop and maintain well-tested APIs with clear documentation
Requirements
Bachelor's degree in Engineering (B.Tech/B.E.)
M.Tech/M.E. from IIT, NIT, or equivalent top-tier institution
Nice to have: React.js
Nice to have: AI tools such as Claude, ChatGPT or Gemini
The Senior Axway Secure Transport Developer will design, develop, configure, integrate, and support enterprise Managed File Transfer solutions using Axway Secure Transport.
Compensation
The starting pay range for this remote role is $75,168-$130,500. This range reflects the minimum and maximum target compensation for the position across all US locations.
Responsibilities
Design, develop, configure, and support Axway Secure Transport solutions across production and non-production environments.
Configure accounts, transfer sites, subscriptions, routes, workflows, and partner integrations.
Implement secure file transfers using SFTP, FTPS, HTTPS, and AS2.
Support Secure Transport migrations, including partner configurations, certificates, scripts, workflows, testing, validation, and cutover.
Develop automation scripts using Linux shell scripting, Bash, KornShell, Python, or similar technologies.
Requirements
Nice to have: large-scale Secure Transport migrations
AWS Cloud Database Administrator responsible for managing and optimizing Redshift, MySQL and PostgreSQL databases in AWS cloud environments, automating provisioning with Terraform, monitoring with Datadog and AWS CloudWatch, and ensuring high availability and security.
Responsibilities
Manage and optimize Redshift, MySQL and PostgreSQL databases in AWS cloud environments
Implement robust backup, disaster recovery, and high-availability strategies
Use Terraform to automate database provisioning, scaling, and configuration
Develop Python scripts for automation of database tasks
Implement infrastructure changes using IaC with Terraform
Lead DevOps and Cloud Engineering initiatives, designing and maintaining scalable infrastructure-as-code solutions using Terraform and Kubernetes, and supporting automated deployments in AWS environments.
Locations (2)
Plano, Texas, United States
Nashville, Tennessee, United States
Compensation
For candidates in both Plano, TX and Nashville, TN, the starting pay range is $104,240-$130,300.
Responsibilities
Design and maintain infrastructure-as-code solutions using Terraform
Support CI/CD and deployment automation
Troubleshoot platform and infrastructure issues
Collaborate with data engineering and application teams to deliver secure, reliable, and scalable solutions
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