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 nextgen platform. As a key member of our technical team youll leverage data pipelines AWS cloud services and cuttingedge 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 datadriven 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 crossfunctional teams provide mentorship to junior engineers and lead datadriven decisionmaking. 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 nontechnical 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 cloudbased 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 problemsolving 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 cuttingedge 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: Fulltime
Salary: $150000 $200000