Top AWS Jobs in Ottawa

As an AI Research Engineer, you'll implement image and video generation models, manage training pipelines, and optimize performance while collaborating with researchers.

Design and manage distributed data systems for processing and transforming datasets for AI model training, ensuring data quality and scalability.

The Partner Manager will recruit and enable partners to drive revenue, support sales cycles, manage joint opportunities, and collaborate across teams to enhance partner engagement.

Design, implement, and maintain backend services for web applications, focusing on database management, API integration, and security best practices.

The Backend Software Engineer will design and maintain server-side components, APIs, and databases while collaborating with stakeholders to deliver reliable software.

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.

Lead marketing strategy and execution for strategic technology alliances, focusing on AWS, to drive awareness, pipeline, and revenue through integrated campaigns and partner engagement.

The Senior DevSecOps Engineer will enhance cloud security, manage vulnerabilities, implement secure CI/CD practices, and support incident response efforts.

As a Software Engineer, you will design and implement scalable infrastructure systems for AI-powered security solutions, optimize performance, and improve deployment practices across cloud environments.

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.

The Staff Software Engineer coordinates engineering activities, leads projects, mentors others, ensures high-quality technical solutions, and represents the company externally.

The Senior Sales Engineer will partner with customers to solve data challenges, educate them on WEKA's solutions, and provide technical support.

The Staff Software Engineer will lead technical efforts in fundraising and reporting, ensuring best practices, mentoring engineers, and improving systems while collaborating across teams.

Manage the lifecycle of Redis software Kubernetes products, collaborating with engineering, partners, and internal teams to define product requirements and integrate solutions.

Lead cross-functional infrastructure programs, optimize AI systems, and improve scalability and performance in a hybrid technical environment.

The role involves overseeing the development of cloud infrastructure, providing leadership, collaborating with teams, and writing efficient, maintainable code.

The AI Engineer designs, develops, and deploys AI-driven applications for non-data scientists, enhancing decision-making and model accessibility for organizations.

The Senior Back-End Software Engineer designs, develops, and maintains scalable backend systems while taking ownership of the software development lifecycle.

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 Senior Software Engineer will develop and enhance Cribl Search, focusing on backend functionalities and distributed systems, collaborating as part of a remote team.

Design and build scalable applications for Clario's cloud healthcare platform, influencing architecture, mentoring peers, and ensuring secure solutions in an Agile environment.

As a Machine Learning Engineer, develop ML models, data pipelines, conduct analytics, and work on image and video inference for fish health and behavior.

As a Computer Vision Engineer, you'll develop software pipelines for image and video inference, improving fish farm efficiencies using deep learning and computer vision techniques.