Top AWS Jobs in Ottawa

Lead the deployment of North in private cloud environments, collaborating with IT teams, designing strategies, and resolving technical issues.

Build and productionize ML systems for personalization, search, and recommendations. Apply statistical and ML models using Python and SQL, collaborate with stakeholders, and measure business impact across cloud environments.

Own QA for web and mobile releases: write and run manual and automated tests (web, mobile, API), build test frameworks, improve CI, track issues, mentor teammates, and influence requirements and quality processes.

Develop mobile-first, responsive Vue.js frontends focused on performance and UX. Build frontend management systems, participate in code reviews and team ceremonies, mentor junior engineers, and collaborate with backend teams.

Design, develop, and maintain highly scalable microservices and backends (Java/Spring) for millions of users. Collaborate with product owners, perform code reviews, respond to production incidents, mentor junior engineers, participate in team ceremonies, and potentially share on-call duties.

Manage and scale hybrid build pipelines and multi-cloud infrastructure (GCP/Azure/AWS), administer databases (MongoDB, MySQL, PostgreSQL, Redis), support player authentication (Keycloak), and collaborate on networking, security, and live game delivery to ensure reliable releases across iOS, Android, and Steam.

Lead ownership, harden, and operate an AWS-native backend/platform: build APIs, event pipelines, data services, compliance features (audit logging, encryption, data lifecycle), deployment automation, testing/acceptance tooling, and shape architecture and engineering hiring.

Lead client-facing integrations and implementations for an AI-native, compliance-focused travel platform. Design, build, and operate backend services, event pipelines, and data services on AWS. Ensure auditability, encryption/key management, consent and data lifecycle handling, and translate client feedback into product improvements while shaping architecture and early hiring.

Full‑stack software development for Tempo flagship products: implement frontend and backend features, write tests, review code, design APIs, optimize performance and scalability, work with product, design, QA, and docs teams, and operate in a remote, collaborative environment using cloud and Kubernetes.

Develop server-side applications using Kotlin and Java, collaborate with teams to enhance Atlassian plugins, and ensure code quality through testing and reviews.

The Principal Technical Product Owner will lead the DoiT Partner Platform, driving strategy, execution, and mentoring product owners while leveraging expertise in cloud operations and billing systems.

Own and improve AWS infrastructure and platform services using IaC (Terraform/Terrateam). Support reliable cloud and Kubernetes deployments, enhance observability (metrics, logs, tracing), troubleshoot distributed systems, create standards and documentation, and partner with engineering teams on scalable, resilient design.

Perform comprehensive manual penetration tests across web, API, mobile, internal/external networks, Active Directory, and cloud environments. Validate vulnerabilities, produce technical and executive reports, and work with clients on remediation and retesting.

Owner of cloud infrastructure and reliability for a cloud-native platform: design and maintain Azure/Terraform infrastructure, manage Kubernetes/Helm deployments, build CI/CD pipelines and observability, operate PostgreSQL at scale, lead incident response and support migration from legacy .NET/MSSQL to modern services.

Lead product strategy and execution for Redis Cloud across enterprise, digital-native, and AI customers. Define requirements, manage product lifecycle, work with customers and cross-functional teams, and drive launches, adoption, and technical decisions related to cloud infrastructure, data platforms, and AI workloads.

Hands-on IT Systems Engineer responsible for endpoint management, identity and access administration, cloud and network support, infrastructure-as-code, compliance (SOC2/FedRAMP/CMMC), automation, and documentation. Own device lifecycle, IdP provisioning, VPN/segmentation, Terraform IaC, audit responses, and cross-functional IT initiatives to scale secure corporate operations.

The Senior MEAN Stack Developer will design, develop, and deploy scalable web applications, focusing on building robust REST APIs and microservices, while ensuring code quality and continuous improvement.

As a Machine Learning Ops Engineer, you'll develop robust code, build and maintain MLOps infrastructure, QA systems, and mentor junior engineers to enhance AI model performance for mining clients.

As a Forward Deployed ML Engineer, you will apply machine learning to mining operations, develop neural network architectures, and communicate findings to non-technical stakeholders while working independently.

The Full Stack Engineer will develop and enhance a web-based dashboard platform, focusing on both frontend and backend systems, ensuring seamless data flow to AI models and clients. Responsibilities include creating user interfaces, RESTful APIs, secure data storage, and collaborating with teams on feature development.

As a Full Stack Engineer, you will develop frontend and backend features, write robust code, and collaborate with team members to meet project requirements.

Seeking an experienced Frontend Engineer to enhance user experience for multimodal data management applications. Responsibilities include optimizing user interfaces, collaborating with designers, and building scalable backends.

Design, build, and optimize Databricks-based data and ML platforms. Own ETL pipelines, Delta Lake lakehouse, MLflow model lifecycle, MLOps, cluster optimization, RAG/LLM solutions, BI integration, and data governance with Unity Catalog.

Lead advanced analytics and ML projects: perform EDA, feature engineering, statistical modeling, and build/optimize production ML and Generative AI solutions (LLMs, embeddings, RAG). Collaborate with engineering and MLOps to deploy and monitor models, create visualizations and dashboards, translate insights for stakeholders, and mentor junior team members.

Own and ship end-to-end full-stack features for a high-scale, AI-native publishing marketplace. Design APIs, optimize queries, deploy cloud-native apps, build LLM-powered capabilities, ensure security and privacy compliance, mentor engineers, influence architecture, and maintain reliability and performance under load.