Staff Software Engineer

About The Role

We are looking for a Senior Full Stack Engineer to drive data engineering, cloud infrastructure optimization, and machine learning integration for our next-gen platform. As a key member of our technical team, you'll leverage data pipelines, AWS cloud services, and cutting-edge machine learning technologies to help scale our data systems and support product initiatives. You will be pivotal in ensuring that our platform is built with performance, security, and data-driven decisions at its core.

Key Responsibilities

• Data Engineering & System Optimization: Design and implement scalable data pipelines for ETL (Extract, Transform, Load), leveraging cloud technologies and ensuring efficient data processing.
• Cloud Infrastructure Management: Optimize and manage AWS cloud infrastructure (EC2, S3, Lambda, RDS) to ensure high availability and reliability of our data systems.
• Machine Learning & Automation: Automate data workflows and integrate machine learning models (TensorFlow, PyTorch) to improve data accuracy, scalability, and efficiency.
• KPIs & Performance Tracking: Define, track, and optimize key performance indicators (KPIs) to measure system performance, data flow, and model efficacy.
• Team Leadership & Mentorship: Collaborate with cross-functional teams, provide mentorship to junior engineers, and lead data-driven decision-making. Review code, guide deployments, and drive innovation in data practices.
• Collaboration with Leadership: Work closely with senior leadership to allocate the right resources, prioritize projects, and ensure smooth communication between technical and non-technical teams.
  
  
  

Key Qualifications

• Location: Must be based in Montreal, Canada (or willing to relocate).
• Experience: Minimum of 10 years as a Full Stack Developer, with a strong focus on data systems design, cloud infrastructure, and data engineering.
• Technical Skills:
• Proficiency in TypeScript, Python, and familiarity with testing frameworks (e.g., Jest, PyTest).
• Strong experience with AWS services (EC2, S3, Lambda, RDS) for cloud-based architecture.
• Expertise in SQL and relational databases, with a track record of optimizing data storage and retrieval.
• Experience in building and maintaining machine learning models (experience with TensorFlow or PyTorch preferred).
• Familiarity with Apache Kafka, Apache Airflow, and other data ingestion and workflow orchestration tools.
• Strong understanding of DeFi (Decentralized Finance) ecosystems and how to integrate decentralized data into traditional systems.
  
• Leadership Skills: Strong communication, problem-solving, and collaboration abilities. A history of leading projects, mentoring engineers, and driving innovation in complex technical environments.
  
  

Why Join Us?

• Work in a dynamic startup environment where your contributions directly impact company growth.
• Be part of a cutting-edge team focusing on data engineering, cloud optimization, and machine learning.
• Competitive salary and benefits package with flexible work options.
• Opportunity to make a real impact on the future of the DeFi industry.
  
  
  

Position: Senior Full Stack Engineer - Data Engineering & Cloud Infrastructure

Location: Remote (Preference for candidates based in Montreal, Canada)

Employment Type: Full-time

Salary: $150,000 - $200,000