Senior Platform Engineer

Job Description Job Description Senior Platform Engineer - ML Systems (Infrastructure Focus)Job at a Glance

• Title: Senior Platform Engineer - ML Systems (Infrastructure Focus)
• Location: Kissimmee, FL Hybrid (4 days onsite, Fridays remote)
• Contract: W2 only, 12 month contract with potential for extension or conversion to full time with either the client or CEI
• Pay: $70.00-80.00 /hour + optional medical, dental, vision, 401(k) match

OverviewWe are seeking a Senior Platform Engineer to support the development and operation of ML-driven systems in production. This role is infrastructure-first, with a strong emphasis on building, deploying, and scaling systems that support machine learning workloads, particularly in computer vision and object detection environments.Key Responsibilities

• Design, deploy, and operate containerized applications in Kubernetes environments (Rancher preferred)
• Build and maintain cloud-native infrastructure in AWS (S3, DynamoDB, SageMaker)
• Develop backend services, automation, and tooling using Python
• Support deployment and scaling of ML models in production environments
• Collaborate with ML and backend engineers to ensure reliable data and inference pipelines
• Troubleshoot and resolve production issues across infrastructure and application layers
• Contribute to system design decisions around scalability, reliability, and performance

Required Skills

• Strong hands-on experience with Kubernetes in production environments
• Experience with Rancher or similar cluster management tools
• Solid experience with AWS, including S3, DynamoDB, and SageMaker (or similar ML infrastructure tools)
• Strong programming experience in Python
• Experience building and operating distributed systems
• Comfort troubleshooting systems across infrastructure and application layers
• Experience working with or supporting data or ML pipelines
• Understanding of how data flows through systems (ingestion ? processing ? output)
• Familiarity with event-driven or real-time systems
• Ability to collaborate effectively with backend and ML teams

Preferred Skills

• Experience with model deployment and inference systems
• Exposure to object detection and computer vision workflows
• Familiarity with vLLM or similar inference frameworks
• Experience with CI/CD and infrastructure-as-code
• Familiarity with monitoring and observability tools
• Infrastructure-first mindset without being infrastructure-only
• Strong problem-solving skills in production environments
• Ability to bridge infrastructure and application layers
• Comfort working in fast-moving, ambiguous environments
• Ownership mindset from build ? deploy ? operate

Why Should I Apply?This role offers the opportunity to work on production-grade ML infrastructure supporting advanced computer vision systems. You'll have meaningful ownership across the full lifecycle of scalable, real-world platforms.About CEIAs a trusted technology partner, CEI delivers solutions that help our customers transform their business and achieve meaningful results. From strategy and custom application development through application management, our technology and digital experience services are tailored to meet each unique need of our customers. Our staffing solutions bring specialized skills to complement our customers' workforce and project requirements.