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 production troubleshooting by tracing failed messages across transport, parsing, mapping, and downstream systems, identifying root causes and implementing permanent fixes.
- Translate customer mapping specifications into configuration and code, and validate end-to-end integrations before go-live.
- Review designs and code from mid-level engineers and establish standards for error handling, idempotency, reprocessing, and observability.
- Use AI coding tools such as Claude Code, Copilot, and Cursor to support development, testing, documentation, and production log analysis.
- Build reusable AI-enabled internal tools to improve mapping configuration, identify EDI failure patterns, and generate regression test suites.
- Validate AI-generated output and remain accountable for the correctness and quality of all solutions delivered.
- Improve CI/CD, automated testing, release processes, monitoring, and overall development workflows.
- Mentor engineers in EDI domain knowledge and contribute to internal technical training programs.
- Share effective AI prompts, development patterns, guardrails, and technical knowledge to improve team productivity and standards.
- Collaborate with Product Management, Backend, DevOps, Platform teams, and customers throughout the integration and go-live process.
Qualifications:
- Bachelor’s degree or above 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, with the ability to interpret and troubleshoot raw EDI messages.
- Strong proficiency in at least one backend programming language, such as Python, Java, Node.js, or C#, along with strong SQL skills.
- Hands-on experience with integration and transport technologies including AS2, SFTP, REST APIs, and message queues.
- Demonstrable experience using AI tools to improve engineering workflows and productivity, with the ability to assess and verify AI-generated output.
- Strong root-cause analysis and problem-solving skills, with a focus on permanent fixes and clear technical documentation.
- Strong knowledge-sharing and mentoring skills, with a willingness to share technical expertise, AI practices, and EDI domain knowledge.
- Ability to collaborate effectively across technical and business functions and work directly with customers through to go-live.
- Experience in freight forwarding, 3PL, or supply chain environments is preferred.
- Experience with GitHub Enterprise, Jira, Confluence, Jenkins, Ansible, and AWS-based architectures is an advantage.
Apply now: 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.
Disclaimer: We may collect, process, and store your personal data as part of the employment process. This may include, but is not limited to, your contact information, employment history, payroll details, performance records, and any other data required for managing your employment, including payroll, benefits, and compliance with legal obligations. Your personal data will be treated with confidentiality and protected in accordance with the provisions of the Personal Data Protection Act No. 9 of 2022 of Sri Lanka. You have the right to access, correct, or request the deletion of your personal data subject to applicable laws.