Senior Platform Engineer managing AWS, Kubernetes, Terraform, and CI/CD infrastructure at Ledgebrook. Building secure self - service platforms that improve software delivery reliability.
DP
Senior Platform Engineer – Cloud Architecture, AI Platforms
Posted 8 months ago
About the role
- Senior AI Platform Engineer designing scalable cloud infrastructure for AI initiatives at Derivative Path. Collaborating with teams to streamline AI operations and secure workloads.
Responsibilities
- Design and own AWS multi-account architectures, including VPC networking, security controls, and shared-services patterns to support AI workloads.
- Build and maintain scalable compute environments using ECS Fargate, EKS, and Lambda for both application and model hosting.
- Implement Infrastructure as Code (IaC) using AWS CDK (preferred) or Terraform to define and manage the entire AI platform stack.
- Develop and manage CI/CD pipelines using GitHub Actions, incorporating blue/green and canary strategies for model deployments.
- Architect and operate data services including RDS (Aurora), S3, and Vector Databases (e.g., Pinecone, pgvector) to support RAG and other AI patterns.
- Partner with the AI Innovation Group to operationalize models using AWS SageMaker, Bedrock, and Azure OpenAI Service.
- Implement comprehensive observability for infrastructure and model performance, monitoring for latency, drift, and resource utilization.
- Ensure platform resilience and security, defining disaster recovery strategies and enforcing strict IAM policies for sensitive data.
Requirements
- 5+ years of experience in DevOps, Platform Engineering, or Cloud Infrastructure
- Deep expertise in AWS core services (EC2, VPC, IAM, S3) and networking (Transit Gateways, Route 53)
- Strong proficiency in Infrastructure as Code, specifically AWS CDK or Terraform
- Experience with container orchestration (Kubernetes/EKS or ECS) and Docker
- Proficiency in Python for scripting and automation; experience with API frameworks (FastAPI) is a plus
- Familiarity with MLOps practices and tools (SageMaker, MLflow, Kubeflow) and deploying LLMs in production
- Experience designing CI/CD pipelines (GitHub Actions) for both code and data/model workflows
- Understanding of database architecture, including relational (PostgreSQL) and vector stores
- Bachelor’s degree in computer science, Engineering, or equivalent practical experience.
Benefits
- Competitive bonus, base salary, and equity compensation
- 23 days of PTO
- Fully remote
- RRSP contribution at 3%
- Competitive health benefits
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