Senior Platform Engineer, Derivative Path
Cloud Architecture & AI Platforms
CA$110-140k
+ Is eligible for a discretionary bonus and equity
Derivatives technology & advisory for financial institutions
Open for applications
Derivatives technology & advisory for financial institutions
101-200 employees
Open for applications
CA$110-140k
+ Is eligible for a discretionary bonus and equity
101-200 employees
Company mission
To modernize risk management and financial technology.
Role
Who you are
- 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
What the job involves
- We are seeking a Senior AI Platform Engineer to join our Delivery Infrastructure team. In this role, you will be the bridge between our robust DevOps practices and our AI Innovation Group, designing the scalable, secure cloud infrastructure that powers our AI and machine learning capabilities
- As a Senior AI Platform Engineer, you will operate as a core member of the Delivery Infrastructure (DevOps) team, sharing in day-to-day operational responsibilities while leading the architecture and implementation of infrastructure for our AI initiatives
- You will work primarily within AWS, while leveraging specific Azure capabilities, to build a seamless environment for model training, deployment, and inference
- You will move beyond traditional infrastructure management to define MLOps standards, automate complex pipelines, and ensure our AI workloads are secure and reliable. You will empower our data scientists to move faster by providing them with a robust, self-service platform
- 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
Our take
Derivative trading often proves unattainable for many organizations due to barriers like limited access, complex compliance regulations, and intricate hedge accounting procedures. Derivative Path effectively addresses these challenges through its capital markets platform.
A key strength of Derivative Path lies in the collective expertise of its team, comprising seasoned professionals with backgrounds in private equity and venture capital from reputable institutions like Wells Fargo and Barclays. Leveraging this hands-on experience, the company adeptly meets the needs of financial institutions and trading firms. Providing institutions with a more efficient avenue for accessing capital markets, earning the company an impressive client roster that includes Simmons Bank and United Community Bank.
In the rapidly evolving landscape of capital markets technology, companies like AlphaSense vie for prominence. However, Derivative Path distinguishes itself by its dedicated focus on derivatives and an array of tools, differentiating itself from other trading fintechs primarily centred on data analysis.
Steph
Company Specialist at Welcome to the Jungle
Insights
35% employee growth in 12 months
Company
Funding (1 round)
Jun 2020
$35m
GROWTH EQUITY VC
Total funding: $35m
Company HQ
Walnut Creek, CA
Leadership
Pradeep Bhatia
(Co-Founder & CEO)Pradeep began their career as an Investment Banking Associate at US Bank, before joining Societe Generale as VP of Leveraged Finance. Prior to co-founding Derivative Path in 2013, they were the Head of Bank Coverage at Wells Fargo Bank.
John Fleming
(Co-Founder & COO)After co-founding Derivative Path in 2013, John served as the CTO until 2021, when they moved into the role of COO. Previously, they were a Managing Director at Wells Fargo, a Product Manager at Calypso Technology and Integral Development Corp, and a VP at Societe Generale.
Zack Nagelberg
(Co-Founder & President)After co-founding Derivative Path in 2013, Zack served as the Head of Business Development until 2021, when they moved into the role of CGO until 2026. Previously, they were an Analyst/Associate at Wells Fargo Securities.
Frank Purnell
(Co-Founder & CIO)After co-founding Derivative Path in 2013, Frank served as the Head of Product Management until 2021, when they moved into the role of CPO until 2023, and then into the role of CIO. Previously, they spent over 7 years at Wells Fargo as an IT Proejct Manager, Commodities Trader/Developer and Trading Manager.
Share this job
View 2 more jobs at Derivative Path