Senior Platform Engineer – Cloud Architecture, AI Platforms

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🕒 May 22

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Derivative Path

WebsiteLinkedInAll Job Openings

51 - 200 employees

💸 Finance

💳 Fintech

☁️ SaaS

💰 $35M Private Equity Round on 2020-06

Finance • Fintech • SaaS

Derivative Path is a leading provider of cloud-based platforms and technologies for managing derivatives and hedging programs. The company offers specialized services in interest rate derivatives, foreign exchange, and commodities trading. With a strong focus on risk management and compliance, Derivative Path provides solutions such as hedge accounting, FX payments, and platform solutions for balance sheet and customer loan hedging. Catering to financial institutions, end-users, and buy-side clients, Derivative Path's software as a service (SaaS) technology supports real-time payments and advanced derivatives trading strategies. The firm integrates artificial intelligence to enhance operational efficiency and reduce time spent on trade-related tasks.

📋 Description

• 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