### **Position Overview**
We're seeking a Senior MLOps Engineer to design and build our ML
infrastructure from scratch. This is not a role for someone looking to
maintain existing systems – we need an experienced engineer who thrives on
creating foundational architecture in a startup environment. You'll be
responsible for systems that enable our trading algorithms to operate reliably
at scale.
* * *
### **Key Responsibilities**
### **Infrastructure & Platform Development**
* Design and implement cutting edge MLOps architecture
* Optimize systems for massively parallel operations
* Establish experiment management and model versioning frameworks (MLflow or similar)
* Design and implement feature store architecture for trading data
* Create automated drift detection and model monitoring systems
### **Deployment & Operations**
* Set up orchestration systems for complex trading workflows
* Implement containerized, multi-language pipelines
* Migrate legacy systems to production-ready infrastructure
* Establish CI/CD practices and deployment automation
### **Architecture & Strategy**
* Make foundational technology stack decisions
* Design systems that can handle the unique requirements of financial trading
* Build monitoring and alerting systems for mission-critical trading operations
* Collaborate with trading team to understand business requirements and translate them into technical architecture
* * *
### **Required Qualifications**
### **Technical Experience**
* 5+ years of MLOps/DevOps experience, with significant time building systems from scratch
* Proven track record establishing MLOps practices in startup or early-stage environments
* Strong experience with containerization (Docker, Kubernetes) and orchestration platforms
* Expertise in cloud infrastructure (AWS, GCP, or Azure) and infrastructure as code
* Experience with ML frameworks and experiment management tools (MLflow, Kubeflow, etc.)
* Proficiency in Python and SQL
### **Startup/Small Company Experience**
* Experience building production systems
* Comfortable with ambiguous requirements and making foundational technology decisions
* Track record of wearing multiple hats and adapting to changing business needs
* Experience working directly with business stakeholders to understand requirements
### **Nice to Have**
* Experience with parallel, big data processing
* Knowledge of Snowflake and data pipeline development
* Experience with quantitative trading or algorithmic trading systems
* * *
### **What We Offer**
### **Professional Growth**
* Opportunity to build ML infrastructure from the ground up
* Direct impact on company success and trading performance
* Mentorship and collaboration with experienced trading professionals
* Clear growth path as the company scales
### **Work Environment**
* Small, collaborative team where your code directly impacts business outcomes
* Fully remote company with flexible working arrangements
* Modern development practices with freedom to choose appropriate tools and frameworks
* Fast-paced environment with rapid feedback from actual trading operations
### **Learning Opportunities**
* Deep dive into energy markets and financial trading concepts
* Exposure to quantitative finance and algorithmic trading strategies
* Experience building mission-critical applications with real financial impact
* Opportunity to work with cutting-edge ML and data science applications