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# Software Platform Engineer

- **Company:** BINGHAMTOM UNIVERSITY
- **Location:** United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, DevOps, Kubernetes, Autodesk Autocad
- **Published:** July 25, 2026
- **Apply:** https://www.themuse.com/jobs/autodesk/senior-software-platform-engineer?utm_source=uconnect

## About the Role

* Bachelor's or Master's degree in Computer Science, Engineering, or equivalent professional experience
 * Strong hands-on experience with AWS services (e.g., EC2, EKS, Lambda, S3, RDS, IAM)
 * Expertise in Kubernetes orchestration and containerization.
 * Proficiency in Python for backend development, automation, and scripting
 * Hands-on experience with MCP (Model Context Protocol) or similar frameworks
 * Deep understanding of LLMs, AI agent architectures, and orchestration frameworks (LangChain, AutoGen, Semantic Kernel, or equivalent)
 * Familiarity with Infrastructure-as-Code tools (Terraform, CloudFormation, or AWS CDK)
 * Experience with CI/CD pipelines and DevOps practices
 * Solid understanding of networking, cloud security, and distributed systems, * Experience developing intelligent agents, workflow orchestration, or applied AI in cloud platforms
 * Exposure to multi-cloud or hybrid cloud environments
 * Familiarity with observability and monitoring tools (Prometheus, Grafana, ELK, CloudWatch)
 * Contributions to open-source projects in AI, Kubernetes, or cloud-native ecosystems
 * Strong problem-solving, collaboration, and communication skills

## Description

We are seeking a Senior Software Platform Engineer with strong expertise in AWS, Kubernetes, Agentic AI, and Python. In this role, you will design, develop, and optimize scalable, secure, and high-performance cloud-native solutions. You will leverage AI-driven automation and intelligent workflows to enhance platform reliability, performance, and efficiency, while ensuring seamless integration across hybrid and multi-cloud environments., * Design and build cloud-native applications and services on AWS using Python

 * Develop, deploy, and manage containerized workloads using Kubernetes
 * Implement Agentic AI capabilities to drive intelligent automation and system optimization
 * Automate infrastructure provisioning, CI/CD pipelines, and monitoring solutions
 * Collaborate with architects, engineers, and stakeholders to define and implement scalable technical solutions
 * Design and implement AI agents leveraging MCP to enable interoperability between tools, APIs, and enterprise systems
 * Develop workflows and orchestrations for agents to perform complex tasks autonomously
 * Troubleshoot and resolve complex issues in distributed, high-performance systems
 * Contribute to engineering best practices, design reviews, and architecture standards


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