Top AWS Jobs in Ottawa

Build and operate ML training and serving infrastructure. Design, develop, and launch backend systems, collaborate across teams, support operations and on-call, write well-tested extensible code, and participate in team growth and hiring activities.

Lead R&D FP&A: own forecasting, budgeting, variance analysis, and cloud (AWS) cost modeling; evaluate AI investments; build decision-ready models; support executive and board reporting; improve forecasting, tooling, and data quality.

Sell Akamai solutions to new major accounts in Canada, build C-level relationships, develop strategic sales plans, manage channel/reseller partnerships, drive high-volume pipeline, and negotiate contracts to ensure customer adoption and satisfaction.

Lead SRE work to keep Circle highly available and performant: respond to incidents, own monitoring/alerting/log management, manage and optimize MySQL/Postgres/ClickHouse/Redis databases, maintain server infrastructure and deployment pipelines, collaborate with engineering teams, and build internal SRE tooling and automation.

Develop and maintain full stack software solutions for lidar products, manage cloud infrastructure, and optimize performance in a Linux environment.

The Senior Software Developer will lead design and implementation of backend systems, mentor peers, and enhance AI capabilities in tax research software, focusing on high-quality standards and rapid delivery.

As a Senior Machine Learning Engineer, you will design, develop, and deploy ML systems, mentor team members, and collaborate on advanced AI applications in tax research.

As a Software Developer II, you will design and implement software systems, collaborate with peers, and improve product capabilities using various technologies, particularly TypeScript and Python.

Own cloud operational health, architecture intelligence, and cost optimization. Analyze cloud spend, build dashboards/reporting, enforce governance, review architecture for cost impact, and translate technical findings for engineering, finance, and executives.

The Principal Application Scientist at Dotmatics will provide technical leadership and consult customers on SaaS solutions, focusing on data integration and architecture in scientific environments.

Manage and grow existing SMB accounts by identifying expansion opportunities, delivering product presentations and demos, following up on marketing/CSM leads, and closing business while providing technical problem-solving and building strong customer relationships.

Lead applied research and system development for spatial intelligence across drawings, BIM, and site data. Design, train, and deploy ML models for constructability, clash detection, and risk identification. Build proprietary datasets and ML pipelines, partner with engineering and product teams to productionize research, mentor senior staff, and shape long-term spatial AI strategy.

The Data Governance Intern will assist in developing enterprise data catalogs, documenting data elements, and supporting data quality efforts using SQL and Python.

Operate, maintain and improve the global Tyk Cloud platform: run production Kubernetes clusters, manage cloud infrastructure, automate operations, run on-call incident response, create monitoring and dashboards, conduct post-incident analysis, document SRE processes, and drive reliability, efficiency and multi-region/multi-cloud expansion.

Lead AI strategy engagements, manage complex client relationships, drive discovery, and deliver actionable plans to increase business effectiveness with AI solutions.

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.