Top AWS Jobs in Ottawa

Design, build, and operate Kubernetes cluster management tooling and developer-facing workflows. Deliver compute capabilities (jobs, cron, deployments, EFS, right-sizing), automate toil, improve observability and incident response, and partner with Security/Reliability teams. Apply AI tooling to improve infrastructure automation and developer productivity.

The Staff Software Engineer will lead AI-driven initiatives, building systems for advertising, content creation, data modeling, and SEO that enhance real estate agents' market presence.

Senior individual contributor building and maintaining underwriting and credit decisioning ML systems for Cash App Borrow and Afterpay. Responsibilities include feature engineering, model training, calibration, experimentation, deployment, monitoring, and portfolio-level analysis. Collaborate with cross-functional teams to align models with business and regulatory goals and develop AI-native engineering workflows and governance for reliable, auditable model development.

As a Senior DevOps Engineer, you'll design, implement, and operate AWS network architectures, manage multi-account connectivity, and ensure network security and automation using IaC tools.

Operate and maintain production AWS/EKS Kubernetes clusters; design and ship infrastructure-as-code with Terraform; manage Helm charts and ArgoCD GitOps for multi-region SaaS; maintain observability (Grafana, alerting, logs); improve CI/CD pipelines; remediate container and infrastructure CVEs; support compliance (FedRAMP/SOC2/NIST); create runbooks and lead incident response and post-incident reviews.

Build full-stack features for a cloud-native SaaS platform (Magnet One) using React front-end and C# backend. Implement case management, APIs, automated tests, and collaborate with Product and UX to deliver customer-focused, scalable solutions. Deploy, monitor, and scale services in a containerized environment.

Lead and develop an SRE and platform engineering team to ensure reliability, scalability, security, and operational excellence of CIRA's registry platforms. Define SRE practices (SLOs/SLIs/error budgets), drive cloud-native platform design (AWS), champion IaC/GitOps and automation, manage incidents, improve observability, and collaborate cross-functionally on capacity, DR, and resilience.

Manage and support cloud infrastructure with continuous monitoring, incident response, and automation to ensure system reliability and delivery of operational commitments.

The AI Full Stack Developer will design and build AI applications using modern technologies, developing prototypes and production-ready systems while collaborating with various teams to leverage AI capabilities and enhance performance.

As a Senior Sales Engineer, you will manage technical sales processes, engage with customers to translate needs into solutions, lead technical proposals, and mentor junior engineers.

The Staff Software Engineer will lead the development of backend services and data pipelines for real estate MLS data, mentor teams, and work on AI integration.

Design, develop, test, deploy, and support full-stack web features for a remote-sensing data processing and visualization platform. Optimize schemas and queries for scalability, integrate frontend and backend services and APIs, maintain high availability, collaborate on architecture, and participate in a shared on-call rotation.

Lead cross-functional teams to architect, build, and deliver cloud-native, enterprise-grade web applications. Drive AI-native development practices, spec-driven workflows, and use of AI coding agents. Oversee frontend and backend architecture, APIs, integrations, CI/CD, containerization, and observability while mentoring teams and partnering with stakeholders to meet client objectives.

The Senior Full-Stack Developer will lead projects, collaborate on features, maintain systems, and write code in Python and React. They should have significant experience in full-stack development and a passion for clean code.

Teach an online graduate/undergraduate Foundations & Applied Machine Learning course (MIA5100). Deliver lectures and project-based, hands-on instruction covering ML/DL, CV, NLP, transformer models, model evaluation and deployment using Python, common ML libraries, and cloud platforms; supervise student projects and apply industry deployment workflows.

Teach an online graduate-level Foundations & Applications of Machine Learning course, delivering project-based, applied AI/ML curriculum. Design and assess hands-on assignments using industry tools, cover model development to deployment, and incorporate real-world applications and experiential learning methods.

Teach a 3-credit online graduate course in core data science concepts including statistical modeling, machine learning, visualization, predictive and time-series analytics, and big-data workflows. Develop and deliver course materials, supervise project-based experiential learning, assess student performance, and draw on industry experience to demonstrate real-world data engineering and deployment practices.

Teach an online graduate Data Science course covering statistical modelling, machine learning, data visualization, descriptive and predictive analytics, time series, and data engineering. Deliver lectures, guide project-based experiential learning, and apply industry deployment practices using modern tools and cloud platforms.

As a Junior Pentester, you will perform security reviews and tests for applications, assist clients with security design, threat modeling, and remediation strategies, while promoting secure coding practices.

As an Applied AI Junior Web Developer, you'll build modern websites, utilize AI tools, and develop testing skills while creating a user-friendly digital presence for Trend Micro's cybersecurity solutions.

As a Junior Web Developer, you'll create modern websites using AI tools. Responsibilities include coding, debugging, testing, and continuous learning to enhance web experiences for TrendAI.

You will design, develop, and launch backend systems, APIs, and collaborate with cross-functional teams to support product development and operations.

Lead the Orchestration Services team, overseeing data management and engineering projects while fostering team development and collaboration. Drive technical decisions and multi-year roadmaps for new products.

Design, build, and maintain Java backend components and integrations between enterprise platforms using APIs, connectors, and event-driven patterns. Troubleshoot production issues, improve CI/CD and testing, enforce security and compliance best practices, automate lifecycle and governance processes, and collaborate with SMEs, engineers, and architects on solution designs.

Design, build, and deploy production-grade AI/ML features and autonomous agent systems for cybersecurity. Own end-to-end ML pipelines, model selection and optimization, inference engineering (quantization/pruning/TensorRT), multi-agent orchestration, GNN/time-series analytics, benchmarking, and MLOps for the Trend Vision One platform.