Associate Systems Engineer

Scoular•Omaha, NE

About The Position

The Associate Systems Engineer supports the integration design, testing, and ongoing development of the platform connecting Scoular’s business applications, trading partners, and data platforms. As part of an Agile Integration Team, the role works alongside senior integration engineers to build and maintain integrations, monitor the existing environment, and help triage and correct exceptions within short timelines. The position provides hands-on experience with enterprise integration, APIs, and automation, with a foundation for growth into an Integration Engineer role. Scoular uses an AI-assisted software development lifecycle. The role develops proficiency with Claude Code within a defined session lifecycle—kick-off, develop, code-review, build-check, and wrap-up—using Scoular’s .NET/C# and Azure stack and GitHub Enterprise. Key early skills include source control, testing, understanding message formats and data mappings, reading and debugging code, and knowing when to escalate. The role develops, tests, and documents integrations using Azure Integration Services and .NET/C# custom components. Work is submitted through pull requests for required review, uses approved packages and established scaffolding, and resolves security scan findings before promotion. The engineer is accountable for reading, testing, and understanding AI-generated code before submission. The position also supports monitoring and production troubleshooting, collaborates with internal and external stakeholders, documents integration requirements and designs, and follows change management and deployment processes through DEV, QA, and PROD. It builds technical foundations through mentoring, enablement, peer reviews, and practice in integration patterns, protocols, data transformation, testing, Git, and responsible AI use. Solutions must follow Scoular’s architecture, team standards, SOPs, and AI-specific Acceptable Use and ISO controls.

Requirements

  • Currently pursuing or recently completed a bachelor’s degree.
  • 0–2 years of experience preferred, including internships, coursework, or project work.
  • Willingness and aptitude to develop within an AI-assisted SDLC and use AI coding tools as a normal part of daily work.
  • Understand that AI-generated code must be read, tested, and understood before submission; accountability remains with the engineer.
  • Foundational understanding of integration concepts and data formats such as APIs, REST, JSON, XML, and flat files.
  • Willingness to learn and follow established standards, branch and review practices, and escalation paths.
  • Ability to troubleshoot methodically and follow issues through to root cause with senior-engineer guidance.
  • Strong analytical, problem-solving, and decision-making skills.
  • Ability to work collaboratively in a small team and independently, and to adapt to changing priorities.
  • Strong written communication, including clear, well-organized technical documentation.
  • Interest in technology trends, integration best practices, continual process improvement, and responsible AI use.
  • Basic programming knowledge in C# / .NET or a comparable object-oriented language.

Nice To Haves

  • Exposure to AI coding tools such as Claude Code, including reviewing and testing generated code.
  • Familiarity with the IT development-standards repository in GitHub Enterprise, including CLAUDE.md context files and the Skills Catalog.
  • Experience with GitHub Enterprise for source control, pull requests, CI/CD pipelines, and security scanning.
  • Familiarity with Visual Studio and Visual Studio Code and Microsoft Azure.
  • Familiarity with Scoular’s Acceptable Use and ISO policies, including AI-specific controls.
  • Exposure to Azure Integration Services such as Azure Logic Apps, Service Bus, API Management, Event Grid, Azure Functions, Azure Storage, or Azure SQL.
  • Coursework or project experience with XML, XSLT, XPath, XSD, REST, SOAP, or OAuth.
  • Exposure to JavaScript, PowerShell, or SQL scripting.
  • Familiarity with Agile Development and SCRUM delivery methodologies and the SDLC.

Responsibilities

  • Develop, test, and document integrations using Azure Integration Services and .NET/C# custom components within the defined Claude Code session lifecycle.
  • Submit work through required pull-request review, use approved packages and established scaffolding, and resolve security scan findings before promotion.
  • Read, test, and understand AI-generated code before submitting it.
  • Help monitor the integrations environment and applications; triage failed messages and exceptions and troubleshoot production issues with senior-engineer guidance.
  • Escalate promptly, follow issues through root-cause resolution, and participate in L2/L3 support after delivery.
  • Collaborate with integration engineers, IT teams, business stakeholders, third-party vendors, and trading partners to understand requirements and communicate progress, risks, and issues.
  • Analyze integration requirements with stakeholders and senior engineers; document data mappings and message flows, including JSON, XML, flat file, and EDI; and contribute to functional and technical designs.
  • Keep business context current in the repository for AI tooling and future maintainers.
  • Follow change management processes by documenting changes, supporting scheduling and communication, assisting implementation and post-change validation across DEV / QA / PROD, and using CI/CD pipeline-based deployment.
  • Ensure work is tested and reviewed before production release.
  • Develop proficiency in Git and GitHub, development standards, integration patterns and protocols, message transformation, testing, and effective AI use.
  • Participate in enablement, paired mentoring, and peer reviews; use the Skills Catalog and shared prompt library; and share learning openly.
  • Support solutions aligned with Scoular’s technical architecture, integration strategy, team standards, and SOPs, including read-only ODS consumption with write-backs through APIM only.
  • Follow AI-specific Acceptable Use and ISO controls, avoid placing sensitive or unmasked production data in non-production environments, and escalate situations not covered by documented standards.
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