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Software Developer - Shared Engineering
Builds internal developer tools and platform services in Go to streamline CI/CD, monorepo workflows, and AI tooling adoption for a high-frequency trading firm.
Engineering Manager, Accounts
Relay is a digital banking platform that gives self-made business owners the tools and know-how to be great with money—bringing clarity, confidence, and control to every dollar earned, so they can turn hard work into…
Cloud and Infrastructure Specialist
Join the ranks of Stikeman Elliott, one of the most distinguished and respected corporate law firms in Canada. Our Toronto office is located in the heart of the financial district, with prime access to public transit,…
Senior Data Engineer (Python and Snowflake)
Senior Data Engineer building enterprise-scale data platforms using Python, Snowflake, and SQL, focusing on ETL/ELT pipelines, data modeling, performance tuning, and governance.
SENIOR FULL-STACK SOFTWARE ENGINEER
Build and own secure, production-grade full-stack systems and AI agent platforms in Python/TypeScript, deploying on GCP/Kubernetes to support clinical R&D and corporate workflows in a regulated biotech environment.
Director, Site Reliability Engineering
Lead a new Site Reliability and Security Engineering team in Dublin, ensuring the reliability, security, and scalability of Klaviyo’s global SaaS marketing platform and AI services.
Python Developer with DevOps skills (f/m/x)
Mid-level Python developer with DevOps skills to design, deploy, and maintain backend systems using Python, Kubernetes, and cloud platforms (GCP/AWS).
DevOps Engineer
The DevOps Engineer will manage and enhance cloud infrastructure, focusing on CI/CD pipelines, container orchestration, and automation. The role involves working with AWS, Azure, GCP, Docker, Kubernetes, Terraform, Ansible, and Python to ensure system scalability and reliability.
Senior Platform Engineer (On-Prem Infrastructure)
The Senior Platform Engineer will design and maintain secure, production-grade on-premises and air-gapped infrastructure to support AI and distributed systems. The role involves building CI/CD pipelines, managing Kubernetes-based platforms, and ensuring system observability and security.
Software Engineer – Data Platforms
Builds and owns cloud-based data infrastructure to handle 100TB–1PB-scale energy grid simulations, ensuring fast, reliable data access for modeling and analysis teams.
Sr. Full Stack Software Engineer (React, TypeScript, Go, AWS, Kubernetes)
Senior Full Stack Engineer building React/TypeScript frontends and Go APIs on AWS with Kubernetes, implementing CI/CD pipelines and ensuring WCAG-compliant, secure solutions for a Federal Government client.
Staff Cloud Backend Engineer (Database)
Design and optimize high-performance SQL and NoSQL databases, including time-series and OLAP/OLTP systems, for a company building AI-enabled software-defined vehicles.
Senior Cloud Data Engineer | SEB, Solna
The Senior Cloud Data Engineer will develop and maintain cloud-based data warehouse solutions for trading and regulatory use cases within a cross-functional team. The role focuses on building data pipelines and infrastructure primarily using Google Cloud Platform, SQL, and Python.
Senior Full-Stack Developer — AI-Driven HealthTech & Data
The Senior Full-Stack Developer will design and build AI-driven healthtech applications on the Lifecare platform using React, Node.js, and Azure cloud infrastructure.
Senior Full-Stack AI-Driven Developer for HealthTech
The Senior Full-Stack Developer will design and build AI-powered healthcare products using React, Node.js, and Azure. The role involves working across the full stack and implementing DevOps practices to deliver data-driven features.
Senior Site Reliability Engineer
Designs, automates, and secures cloud infrastructure for a fintech platform handling millions of secure data-sharing transactions, ensuring reliability, scalability, and compliance with SOC 2/ISO 27001 standards using AWS, IaC, and observability tools.
Data DevOps Engineer (m/f/x)
Designs and maintains cloud-based data infrastructure (AWS) to ensure scalable, secure, and high-performing data solutions for data engineering, CRM, and data science teams, focusing on automation, observability, and reliability.