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Senior backend engineer owning architecture and implementation of a Python-based platform, mentoring engineers, and guiding full-stack development from cloud infrastructure to APIs.
Build and scale high-performance Python backend systems for enterprise-grade financial platforms, focusing on API development, platform engineering, and system design.
Builds Python-based data pipelines and AI services, focusing on anomaly detection and generative AI with LLMs, while maintaining production-grade systems and FastAPI endpoints.
Build and maintain low-latency distributed systems in Python for real-time trading, using Kubernetes, Kafka, and CI/CD pipelines to support cloud-based financial platforms.
Build and maintain Python-based backend services and APIs for a global fintech payment platform, using Django/Flask/FastAPI and PostgreSQL.
Builds and maintains Python-based microservices and APIs, integrates AI models, and follows CI/CD pipelines in a hybrid role.
Builds and maintains Python-based risk and pricing systems for mortgage-backed securities, automating workflows and troubleshooting production issues.
Junior Python developer building APIs, microservices, and integrations in a hybrid team, using Python, RESTful APIs, SQL, and CI/CD pipelines.
Lead a team building Python-based quantitative finance libraries for bond pricing, yield curve modeling, and risk analytics using QuantLib and Bloomberg APIs.
Build and maintain Python applications with SQL databases for enterprise clients in a hybrid Toronto role.
Build and optimize Python-based data pipelines and ETL processes using AWS Redshift, Glue, and EMR to deliver analytics solutions for clients.
Build and maintain trading and data systems in Java and Python, deploying on AWS for a global investment firm.
Senior Python engineer building secure, scalable microservices for a banking platform, designing features and mentoring peers.
Develop embedded Linux automation software in C++/Python for high-tech machinery, focusing on safety and reliability.
Build and maintain internal SDLC tools in Python to automate builds, deployments, and CI/CD pipelines for 12,000+ developers across cloud and SaaS environments.
Build and deploy AI/ML pipelines using Python, FastAPI, and cloud services like GCP to serve vector-based models and microservices.
Build autonomous AI agents in Python using Google’s Agentic Development Kit to orchestrate multi-agent workflows and solve complex problems.
Build and ship backend features in Python/Flask, debug customer issues, and integrate systems; also work on server-side frontend with HTMX and GraphQL APIs in a high-ownership hybrid role.
Build and maintain full-stack Python web apps (Django/Flask) with modern front-end frameworks, integrating REST APIs and databases for financial-sector clients.
Builds automation tools and microservices in Python to streamline cloud infrastructure and DevOps workflows for a managed cloud provider.
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