Top AWS Jobs in Ottawa

The Senior Platform Engineer will manage and build cloud-native infrastructures, develop backend features, ensure high availability, and interface with users while leveraging AI to enhance developer productivity.

Develop and enhance features for EnrollWise, contribute to a scalable software architecture, review code, collaborate on design and technical feasibility, and maintain software quality.

The Senior Full Stack Engineer will design and develop fintech applications, mentor teams, and advise clients on best practices while ensuring security and compliance.

As a Full Stack Engineer, you will build AI-powered applications, manage client interactions, and apply best practices in MLOps and LLMOps.

The Senior Infrastructure/DevOps Engineer will design, implement, and manage cloud infrastructures using tools like Docker and Terraform, ensuring security and automation.

The Principal Solutions Architect engages with research labs, leads Proof of Concepts, conducts demos, addresses technical challenges, and drives customer success.

As an Applied Machine Learning Platform Engineer, you'll design and maintain training infrastructure, manage distributed pipelines, and optimize data workflows for machine learning models.

Provide expert MongoDB technical support, troubleshoot complex deployments, administer Linux systems, advise on schema/design, performance tuning, backups, monitoring, and collaborate on support content and product strategy while occasionally traveling for team or customer meetings.

As a PostgreSQL Database Support Engineer, you'll assist DBA teams with troubleshooting, create knowledge base articles, and author community blogs while focusing on performance tuning and high availability solutions.

The Principal Data Architect will design and evolve enterprise data architecture to support business growth and AI integration, ensuring a secure and efficient data ecosystem while collaborating with various teams to enhance data quality and governance.

Lead and manage global software engineering teams to drive technical initiatives, ensuring high-quality delivery of scalable products while fostering a culture of innovation and accountability.

Lead Business Intelligence and Systems Integration, driving data governance and enterprise solutions to enhance decision support and automate processes.

Lead and develop a team of analysts, manage analytics projects, establish methodologies, and enhance reporting and automation processes.

The role involves designing and implementing MLOps pipelines, optimizing machine learning processes, and ensuring model performance and compliance in a collaborative environment.

The Cloud Solutions Architect will design and implement cloud solutions for AI and ML, optimizing client pipelines and providing technical guidance.

Design, build, and deploy scalable ML platforms and pipelines; optimize and monitor model performance; enforce model governance and data compliance; mentor junior engineers; integrate AI solutions with product and engineering teams to deliver measurable business outcomes.

The Senior Designer provides central engineering support for EDA tools and workflows in IC development, focusing on automation, software solutions, and troubleshooting.

The Senior Backend Engineer will design and implement core backend systems for a new SaaS application, focusing on AI-first methodologies and cloud-native architecture. Responsibilities include building event-sourced services, collaborating on architecture and standards, and mentoring team members.

Design, build, and scale MLOps infrastructure and CI/CD/continuous training pipelines. Deploy and monitor ML models as microservices or batch jobs, manage cloud GPU/CPU resources with IaC, enable observability for model drift and latency, and collaborate with data scientists, engineers, and product teams to ensure reproducibility, compliance, and production reliability.

The AI Solutions Manager drives strategy and commercialization of AI solutions, focusing on scalable solutions, partnerships, and sales enablement.

As a Senior Robotics Software Engineer, you will maintain and improve the Tally software stack, develop new software packages, enhance autonomy and navigation, and assist in DevOps and CI/CD processes.

As a Software Engineer, you will develop and maintain the Tally software stack, enhance robot navigation and autonomy, and support CI/CD processes.

Design and implement high-throughput database integrations and replication into ClickHouse. Improve system reliability, debug production issues using observability tools, write documentation, participate in on-call rotation, and collaborate with customers and cross-functional teams to drive product improvements.

Develop AI-powered features, design APIs, integrate AI/ML models, and enhance developer experience for ClickHouse's platform.

Lead the Platform Software Engineering team building and scaling core data infrastructure for research, market-making, and risk platforms. Hands-on role combining individual contributor work, system architecture, cross-functional project leadership, and people management while collaborating with Research and Business Operations.