Senior Quality Assurance Engineer

EFL is hiring: Senior Quality Assurance Engineer.

Senior Quality Assurance Engineer
Key Responsibilities:
Own the end-to-end design, development, and maintenance of EDI parsers and generators across EDIFACT, ANSI X12, XML, JSON, and flat-file formats
Lead troubleshooting of production incidents by tracing failed messages across transport, parsing, mapping, and downstream systems, identifying root causes, and implementing permanent fixes
Translate customer mapping specifications into configurations and code and validate complete integration flows prior to go-live
Review designs and code from mid-level engineers and establish team standards for error handling, idempotency, reprocessing, and observability
Use AI-assisted development tools such as Claude Code, GitHub Copilot, Cursor, or equivalent tools to improve development, testing, documentation, and production troubleshooting
Develop reusable AI-assisted internal tools to improve mapping, failure analysis, and regression testing
Validate AI-generated outputs and ensure accountability for the accuracy, security, and quality of all delivered solutions
Share effective AI development practices, prompts, patterns, and guardrails across the engineering team
Improve development workflows, including CI/CD, automated testing, release processes, and monitoring
Mentor engineers on EDI domain knowledge and contribute to internal technical training initiatives
Collaborate with Product Management, Backend, DevOps, Platform teams, and customers throughout development and go-live activities
Qualifications:
Bachelor’s degree or higher in Computer Science, Information Management, Engineering, or a related field
8+ years of backend or integration engineering experience, including at least 6 years of hands-on EDI experience
Deep working knowledge of at least one major EDI standard, such as EDIFACT or ANSI X12
Strong proficiency in at least one backend programming language, such as Python, Java, Node.js, or C#
Strong SQL skills
Hands-on experience with integration protocols and patterns including AS2, SFTP, REST APIs, and message queues
Demonstrable experience using AI development tools to improve engineering workflows, with the ability to assess and validate AI-generated outputs
Experience with GitHub Enterprise, pull requests, feature branches, and version control workflows will be an advantage
Familiarity with Jira, Confluence, Jenkins Pipeline, Ansible, and AWS-based architectures will be an advantage
Experience in freight forwarding, 3PL, or supply chain environments will be an added advantage
Strong root-cause analysis and problem-solving skills with a focus on permanent solutions
Strong judgment and accountability when working with AI-assisted development tools
Excellent communication and collaboration skills, with the ability to work effectively across technical and business teams
Strong mentoring and knowledge-sharing capabilities
Ability to work effectively in a collaborative, fast-paced environment
Application: Send your résumé to careers@efl.global with the contact information of two non-related references. Please mention the job title in the subject line of your email.