Senior Development Operations Engineer

Job Title: Senior Development Operations Engineer Location: Normal, IL Zip Code: 61761 Duration: 6 Months Pay Rate: $ 70.84/hr. Keyword's: #Normaljobs; #DevelopmentOperationsEngineerjobs. Start Date: Immediate Job Description: Key Responsibilities 1. 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").

2. 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.

3. Deployment & DevOps

• 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.

4. 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

• Generative AI: Amazon Bedrock (Agents, Knowledge Bases, Guardrails), Agent Core.
• Cloud Platform: AWS (Lambda, API Gateway, S3, IAM).
• Programming Languages: Python (Primary), Node.js.
• DevOps & Tools: Git, CI/CD (GitHub Actions / AWS CodePipeline), Terraform or CloudFormation (IaC).
• Integration Standards: REST APIs, OData, OpenAPI (Swagger) Specifications, JSON.
• SAP Environment: SAP ECC, S/4HANA, SAP BTP.

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.
• DevOps & 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 DevOps Engineer, or AWS Certified Machine Learning - Specialty. Belcan is an equal opportunity employer. Your application and candidacy will not be considered based on race, colour, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.