Data Engineer with Python & Kafka

Role: Data Engineer (Google Cloud Platform) Location: Canada/ Remote Job Type: Full time Experience: 5 Years Role Overview: Were looking for a skilledData Engineerto design, build, and optimize scalable, cloud-native data pipelines onGoogle Cloud Platform (Google Cloud Platform). The role involves extensive work withApache Airflow,Spark,Python, andScalato develop high-performance data solutions supporting analytics, streaming, and generative AI initiatives. Key Responsibilities: Develop, autom

A rapidly expanding financial technology platform serving a sizeable userbase across international waters is looking for a highly experienced DevOps Engineer to help scale and optimize the infrastructure behind a high-volume digital payments and rewards ecosystem. The successful candidate will lead the design and optimization of AWS-based infrastructure, containerized workloads, and automated CI/CD pipelines while strengthening security, observability, and operational resilience. You will work i

Join a high-impact engineering team as a DevOps Manager for an IT SAAS org, where you will lead both the strategy and execution of scalable, reliable cloud infrastructure. This role blends technical depth with leadership, driving modernization from legacy systems to cloud-native architectures across Azure, Kubernetes, and Terraform. You will champion best practices, embed AI-driven efficiencies into DevOps workflows, and partner across teams to proactively eliminate downtime through strong obser

This is a senior-level opportunity to lead the design and evolution of a cloud-native platform within a fast-moving organization operating in the communications and digital advertising space. Built on Microsoft Azure, the platform underpins data-intensive, customer-facing systems, with a strong emphasis on enabling MLOps and AI-driven workloads using Databricks. You will architect and operate scalable infrastructure that supports both high-throughput application services and advanced machine lea