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 ResponsibilitiesData 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 QualificationsLocation: 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
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