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Senior Development Operations Engineer

Job in Normal, McLean County, Illinois, 61761, USA
Listing for: Belcan
Full Time position
Listed on 2026-02-07
Job specializations:
  • IT/Tech
    Cloud Computing, AI Engineer
Salary/Wage Range or Industry Benchmark: 70.84 USD Hourly USD 70.84 HOUR
Job Description & How to Apply Below

Overview

Job Title:

Senior Development Operations Engineer

Location:

Normal, IL

Duration: 6 Months

Pay Rate: $70.84/hr

Start Date:

Immediate

Key Responsibilities
  • Build AI Solutions for SAP
    • Collaborate with stakeholders to identify SAP business processes that can be improved with Generative AI.
    • Develop "Agentic Workflows" using AWS Bedrock that allow users to interact with SAP data using natural language.
    • Ensure the AI agents accurately interpret business intent (e.g., distinguishing between a "Sales Order" and a "Purchase Order").
  • Application Development (Python/Node.js)
    • Write production-ready code to build the logic behind the AI agents.
    • Develop Lambda functions and microservices that process data and handle API requests between AWS and SAP.
  • Deployment & Dev Ops
    • Manage the software lifecycle using Git (Branching, Pull Requests, Code Review).
    • Build and maintain CI/CD pipelines to automate the testing and deployment of your AI applications and infrastructure.
  • Technical Consulting
    • Act as the bridge between "Business Process" and "AI Technology."
    • Translate complex SAP requirements into technical specifications for the AI models.
  • Technical Stack Requirements
    • Programming

      Languages:

      Python (Primary), Node.js.
    • Dev Ops & Tools:
      Git, CI/CD (Git Hub Actions / AWS Code Pipeline), Terraform or Cloud Formation (IaC).
    • Integration Standards: REST APIs, OData, OpenAPI (Swagger) Specifications, JSON.
    Mandatory Skills (Must-Haves)
    • SAP Consulting

      Experience:

      Strong background in SAP (Functional or Technical). You must understand enterprise business processes (e.g., Order-to-Cash, Procure-to-Pay) to build effective AI tools.
    • AWS Agentic Workflows:
      Experience using AWS Bedrock and Agent Core to build AI agents that can reason and execute tasks.
    • Strong Coding:
      Proficiency in Python and Node.js for backend development and API integration.
    • Dev Ops & Git:
      Solid experience managing your own code deployments using Git and CI/CD pipelines.
    Preferred Skills & Certifications (Nice-to-Have)
    • SAP BTP:
      Experience developing on the SAP Business Technology Platform.
    • API Integration:
      Experience connecting AI services to SAP OData or REST APIs.
    Certifications
    • AWS: AWS Certified Developer - Associate, AWS Certified Dev Ops Engineer, or AWS Certified Machine Learning - Specialty.
    #J-18808-Ljbffr
    Position Requirements
    10+ Years work experience
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