Staff assistant Jobs in Montreal qc
Last updated: 1 day ago
- Promoted
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- Promoted
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EYMontréal, Quebec, CA, H3A 0A8Staff Software Engineer
MytechtalMontreal, CA7 days ago
Salary
CA$150,000.00–CA$200,000.00 yearly
Job type
- Full-time
Job descriptionLocation : 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 : 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. 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.
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
Proficiency in TypeScript , Python , and familiarity with testing frameworks (e.g., Jest , PyTest ).
Why Join Us?
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