25madison

DevOps Engineer

• Own uptime (99.9%+), observability, incident response, and root cause analysis
• Deep AWS stack: EC2 (including GPU), ECS/Fargate, SQS, Lambda, S3, CloudFront, API Gateway, RDS/DynamoDB — plus VPC design, IAM, autoscaling, and monitoring
• Build the plumbing: retry logic, idempotency, checkpointing, parallel orchestration
• Chase down performance problems: Queue bottlenecks, cold starts, LLM latency, runaway costs
• Help the team ship faster: CI/CD, infrastructure-as-code (Terraform/CDK/Pulumi), clean containerization, and proper staging environments

Senior Infrastructure Engineer – DevOps / Production / AWS

AI Engineer

• Build, maintain, and scale document ingestion + processing pipelines (PDFs, structured/unstructured docs)
• Integrate and productionize LLM-powered workflows (extraction, classification, summarization, validation)
• Improve accuracy, reliability, and cost/performance of models and pipelines
• Collaborate with product and engineering to turn customer needs into shipped features
• Add evaluation, monitoring, and feedback loops to continuously improve outputs

Senior Infrastructure Engineer – DevOps / Production / AWS

Applied AI Engineer