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Senior System Engineer/Architect TS/SCI with Security Clearance

IBMJunction, KS🇺🇸United StatesPosted 19 Aug 2026

Why This Role Stands Out

This role offers a unique opportunity to architect and implement cutting-edge hybrid cloud and AI solutions for leading global companies, fostering significant career growth and skill development. You'll thrive here if you're driven by innovation, enjoy collaborative problem-solving, and possess a strong background in system architecture and application modernization, especially with a TS/SCI clearance. Embrace the chance to shape the future of technology with IBM Consulting's supportive and growth-oriented environment.

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Junction, KS, United States
Posted
1 week ago
DockerMicroservicesNode.jsAWSAzureCOBOL.NETC++Generative AIGoogle CloudJavaJavaScriptKubernetesPython

Job Description

A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You'll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you'll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You'll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results.

Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences. Your role and responsibilities As an Application Developer specializing in Application Modernization, you will plan, direct, and coordinates activities for information systems, conducts systems analysis, and develops system architectures. You will collaborate with architects and consultants to execute modernization strategies and ensure technical feasibility.

Your primary responsibilities will include: • Develop Modern Applications: Develop and refactor applications using modern programming languages such as Java, .NET, Python, Node.js, and JavaScript. Implement microservices architectures and containerized solutions using Docker and Kubernetes. • Integrate Cloud Platforms: Integrate applications with cloud platforms including AWS, Azure, IBM Cloud, and Google Cloud.

Apply DevOps practices and tooling to support continuous integration, delivery, and monitoring. • Migrate Legacy Codebases: Migrate legacy codebases (e.g., COBOL, RPG, C++) to modern platforms and languages. Incorporate generative AI capabilities into application workflows where applicable. • Design Database Solutions: Design and implement secure, scalable, and maintainable database solutions.

Support testing, debugging, and performance optimization throughout the development lifecycle. • Enable Seamless Integration: Build and consume RESTful APIs and OpenAPI specifications to enable seamless integration across systems.

Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise • Modern Programming Languages: Experience with modern programming languages such as Java, .NET, Python, Node.js, and JavaScript, including hands-on development and refactoring of applications. • Cloud and Containerization: Experience with cloud platforms including AWS, Azure, IBM Cloud, and Google Cloud, as well as containerization using Docker and Kubernetes. • Microservices Architecture: Experience with designing and implementing microservices architectures, including building and consuming RESTful APIs and OpenAPI specifications. • Legacy Codebase Migration: Experience with migrating legacy codebases to modern platforms and languages, including incorporating generative AI capabilities into application workflows. • Database Solution Design: Experience with designing and implementing secure, scalable, and maintainable database solutions, including support for testing, debugging, and performance optimization. • Must possess and have the ability to maintain active Top Secret Clearance with SCI access Preferred technical and professional experience • Generative AI Capabilities: Experience with incorporating generative AI capabilities (Watson, Azure OpenAI, Bedrock, Vertex AI) into application workflows, enabling seamless integration and enhanced functionality. • DevOps Practices: Exposure to DevOps practices and tooling, supporting continuous integration, delivery, and monitoring in cloud-based environments. • Database Optimization: Experience with designing and implementing secure, scalable, and maintainable database solutions, including support for testing, debugging, and performance optimization.

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