Top AWS Jobs in Ottawa

Lead the design and delivery of SaaS products powered by data, ML, and AI, collaborating across backend, systems, and cloud infrastructure. Drive architecture evolution, ensure operability and performance, and mentor engineering teams.

The Java Back-End Developer will build and maintain backend applications, ensuring system reliability, collaborating with teams, conducting code reviews, and mentoring juniors.

Join a small team to improve a tech product aimed at upskilling users in MENA, working with JavaScript and Node.js in a collaborative remote environment.

As a Senior Fullstack Engineer, you will develop backend features using PHP, build frontend experiences with React and Vue, and lead technical discussions while contributing to microservices migration and ensuring platform performance.

Lead Data Acquisition Team, drive AI-augmented development, establish specification-driven methodology, oversee data pipeline architecture and ensure operational excellence.

Build and maintain full-stack applications, backend APIs, cloud-native services, and event-driven data pipelines for real-time traffic safety systems. Work across frontend (React/Remix, TypeScript, Vue), backend (NestJS, microservices), AWS infrastructure, containerized deployments (Docker, Kubernetes/EKS), CI/CD (GitHub Actions, ArgoCD), and Python-based ETL. Own features end-to-end and support production reliability and scalability.

Design, implement, and maintain cloud-agnostic infrastructure and CI/CD pipelines. Manage containerized applications, monitoring, logging, and security hardening. Automate provisioning and configuration across cloud and on-prem, write deployment scripts and tests, and troubleshoot system performance to ensure reliability and scalability.

Develop cross-platform desktop and full-stack web applications (Electron, React/Node.js), implement networking and telephony protocols (VoIP/SIP, XMPP, WebRTC), integrate audio/video codecs, and work with cloud services. Own assigned tasks, troubleshoot complex issues, and collaborate with global engineering teams to deliver secure networking/security features.

Lead enterprise AI strategy and roadmap; build and scale cross-functional AI/ML teams; architect and deliver LLM, RAG, predictive and data-heavy AI products; establish MLOps, governance, cloud-native platforms (Azure/Databricks/AWS/GCP); drive product lifecycle, KPI tracking, security, and responsible AI practices.

Lead strategic architecture for front-office investment technology and data solutions, advising on platform selection and implementation (Aladdin, Charles River, Bloomberg, etc.), guiding data architecture, governance and quality, managing small-to-medium implementation teams, and ensuring delivery across portfolio management, trading, and reporting domains.

Lead design and delivery of AI solutions (RAG and agentic architectures) for asset and wealth management clients. Architect retrieval pipelines, semantic models, GraphRAG, and cloud integrations. Manage project planning, governance, budgets, technical handover, and mentor development teams while promoting best practices and responsible AI.

Design, deploy, and operate Kubernetes, GPU, and HPC compute across bare metal and cloud. Manage scheduling (Slurm/K8s), CUDA and drivers, storage, observability, IaC, deployment workflows, and support researchers to ensure reliable, scalable inference and research infrastructure.

Design and deliver LLM-powered AI features and agentic workflows for a federal web workflow application: build RAG pipelines, integrate AI/LLM APIs, implement prompt-engineering and orchestration frameworks, ensure observability and responsible AI guardrails, maintain full‑stack systems, and participate in CI/CD and security compliance.

Oversee engineering execution and organizational effectiveness for software development teams, ensuring quality delivery and alignment with product strategy while integrating AI-assisted practices.

Designs and implements AI, automation, and analytics solutions for supply chain. Develops data models, governance, reporting, and advanced analytics; collaborates with process owners to enable data-driven decisions and trains/supports business users.

Lead global network and connectivity strategy and operations across LAN/WAN/cloud for a regulated biotech. Own architecture, resilience, observability, vendor governance, service levels, and build a global connectivity organization to enable secure, scalable, high‑availability services.

Work with founders, product, and design to define and build new products and features. Lead development, architect data models and interfaces, ensure code stability, performance, and correctness, and build internal tools to increase engineering productivity and leverage.

Lead end-to-end full-stack engineering initiatives for Project Simulation and Asset Operations. Build scalable frontend and backend systems, ensure code quality, collaborate cross-functionally, debug production issues, and participate in on-call rotation.

Lead end-to-end engineering initiatives for customer-facing features in a fast-paced startup. Build and maintain backend and frontend systems, design and evolve GraphQL APIs, debug production issues, participate in on-call rotation, and collaborate cross-functionally with product, policy, and commercial teams to deliver high-quality, scalable software for battery asset operations and project simulation.

The Full Stack Engineer will design, build, and maintain scalable web applications, impact customer onboarding and integrations, write and review code, and support technical improvements.

This role involves serving as the primary technical advisor for enterprise clients, ensuring effective implementation of low-code platform solutions, providing proactive technical support, and facilitating knowledge transfer to enhance client self-sufficiency.

Owned territory enterprise sales: build pipeline from inbound/outbound, articulate value prop, manage opportunities in CRM, forecast and exceed quota, collaborate with product/support/SE, and engage customers to close deals.

The role involves designing, building, and deploying machine learning models, collaborating with teams to address business problems, and mentoring other data scientists.

Maintain availability, monitoring, and incident response for BeyondTrust Cloud Service. Troubleshoot distributed systems, implement fixes and preventive measures, collaborate across teams to meet SLAs, document work, follow risk/compliance, and drive automation and continuous improvement.

Design, build, and maintain cloud infrastructure and automation for a SaaS orchestration platform on AWS. Develop IaC (Terraform preferred), reusable modules, CI/CD/GitHub Actions, observability, resilience, security controls, and platform services. Collaborate with Product, SRE, Security, and Cloud Ops to improve reliability, automation, and operational efficiency.