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Platform Engineer
Overview
LABUR is partnering with a client to identify a Senior Platform Engineer on a contract basis who will work alongside a Sr. AI Architect to configure, connect, and operationalize the AWS infrastructure underpinning an enterprise agentic AI platform. This hands-on Platform Engineer brings deep AWS DevOps expertise and thrives on turning architectural blueprints into fully operational environments - standing up services, integrating components, and ensuring the platform runs reliably and securely at scale.
Responsibilities
Configure and operationalize AWS platform services - including Bedrock, AgentCore, and supporting infrastructure - translating architectural direction into production-ready environments
Connect and integrate AWS services end to end, ensuring seamless interoperability across compute, storage, networking, and AI/ML components
Stand up and maintain the infrastructure supporting RAG pipelines, agentic workflows, and LLM-powered services within the AWS ecosystem
Manage and automate environment provisioning using Infrastructure as Code tools such as Terraform or CloudFormation to ensure consistent, repeatable deployments across environments
Troubleshoot platform issues across the AWS stack, diagnosing connectivity, performance, and configuration problems to maintain platform stability
Collaborate closely with the AI Architect and engineering teams to translate platform requirements into well-configured, scalable infrastructure
Maintain platform documentation including environment configurations, integration guides, and operational runbooks
Qualifications
8+ years of professional experience with a strong focus on AWS DevOps and cloud infrastructure engineering
Deep hands-on expertise configuring and integrating AWS services such as Bedrock, Lambda, S3, ECS, IAM, VPC, and CloudWatch
Proven ability to stand up and connect cloud platform components end to end in enterprise environments
Experience with Infrastructure as Code tools (Terraform or CloudFormation) for provisioning and managing AWS resources
Strong troubleshooting and problem-solving skills across the AWS stack
Excellent communication skills and a collaborative mindset, with the ability to take architectural direction and execute independently