Integration Consultant, Inland Solutions

Day To Day Responsibilities

• Conduct discovery sessions to understand customer integration goals, operational workflows, and existing system landscape (TMS, WMS, ERP, etc.), and map those workflows to YMS import/export events and API interactions
• Facilitate key integration architecture decisions including API Gateway vs. SNS/SQS approaches, authentication methods (API key, OAuth 2.0, mTLS), and cybersecurity/compliance requirements
• Coordinate with Cloud Ops to deploy required services, configure YMS system parameters, webhooks, and data mapping tables in staging and production environments
• Submit and validate test messages, review logs, and develop automation scripts to support iterative testing and edge case resolution
• Leverage AI-powered log analysis and observability tools to reduce mean time to diagnosis on production integration failures
• Diagnose and resolve production integration issues, including authentication failures, firewall misconfigurations, and missing idempotency keys
• Leverage AI coding assistants to accelerate the development of integration scripts, test automations, and data mapping utilities

Qualifications

• BS degree
• 3–5+ years in a technical implementation, solutions engineering, or integration consulting role within a Professional Services or SaaS delivery environment
• Working knowledge of RESTful APIs, API Gateway architecture, and AWS messaging services (SNS, SQS), with experience in authentication protocols including OAuth 2.0 and mTLS
• Working knowledge of REST APIs, API gateway architecture, and cloud messaging services; preferred experience working with common integration patterns (e.g., webhooks, thin events and callbacks, retries with backoffs)
• Comfort with the command line interface, especially curl and sftp—the ability to dig deep on verbose logs and troubleshoot common errors; complementary networking and DNS knowledge a plus
• A growth mindset toward AI adoption, eager to experiment with new tools, share findings with the team, and help shape AI-forward delivery practices
• Strong data structures and typing fundamentals are a must
• Familiarity with YMS, WMS, or TMS platforms and yard operations concepts such as trailer lifecycle management, shipment workflows, and asset tracking
• Familiarity with prompt engineering concepts and the ability to use LLMs effectively for tasks such as code generation, log summarization, and documentation drafting
• Strong customer-facing communication skills with the ability to translate technical concepts for non-technical audiences and manage multiple concurrent implementations

Optional

• Basic familiarity with common web development languages (Ruby on Rails, JavaScript) a plus
• Cloud certifications (AWS Cloud Practitioner or otherwise) a plus

Kaleris is an equal opportunity employer.