Top AWS Jobs in Ottawa

The role involves designing scalable data pipelines for 3D, video, and sensor data, optimizing infrastructure, and productionizing ML models with researchers.

As an ML Engineer at Luma AI, you will design high-performance model serving pipelines, manage GPU resources, and optimize CI/CD for large-scale AI systems.

As a Software Engineer in Reliability, you'll architect and manage multi-cloud GPU infrastructure, ensuring performance, security, and scale while debugging complex hardware/software issues.

The Senior Infrastructure Engineer will design and implement a high-reliability, high-throughput advertising platform, focusing on infrastructure, technical leadership, and incident response management.

Lead and mentor a team of Forward Deployed Engineers to deploy Cohere's North platform into private cloud and on-premises environments. Own technical delivery and customer success, collaborate with Product/Engineering/Sales, optimize K8s services (OpenSearch, databases), define GPU/CPU scaling, and build scalable processes and tooling.

Contribute to the reliability and performance of Mithril's GPU orchestration platform through automation, observability, and infrastructure management. Collaborate with the team to ensure scalability across multi-cloud environments while maintaining systems stability and implementing SLOs.

The Frontend Engineer will build web interfaces for a healthcare APIs clearinghouse while collaborating across teams to ensure high-quality, responsive design and functionality.

You will design and implement IAM systems, own authentication and authorization, and ensure secure-by-default principles across Hadrian's API platform.

As a Reliability Engineer, you'll design, implement, and maintain AWS cloud environments, ensuring systems' reliability and performance, while enhancing monitoring and incident response capabilities.

The Data Platform Marketing Manager will lead marketing strategies for DoiT's data lake and Snowflake optimization business, aiming to drive growth and impact.

Design, build, and deploy AI-powered legal applications using LLMs, RAG, and agentic AI. Partner with legal stakeholders to translate workflows, build document ingestion and vector search pipelines, ship production-grade features, implement governance/security controls, and mentor/legal users while aligning solutions with enterprise architecture and monitoring quality and evaluation metrics.

Build and scale the enterprise sales organization: define sales architecture, hire and lead founding sales team, own enterprise ARR growth, close initial six- and seven-figure deals, establish land-and-expand motions, manage channel/partner strategy, navigate enterprise security/procurement, and align sales with product and engineering.

Design, build, and maintain scalable distributed data pipelines and a secure data lakehouse for streaming and batch processing to support real-time analytics, ML, and experimentation. Automate, test, and harden workflows, architect logical and physical data models, build ML model features, and collaborate with product, analytics, and data science teams to turn data into value.

Design and build end-to-end, enterprise-grade systems that enable AI agents to initiate and complete finance workflows. Own features across backend and frontend, integrate AI/ML models into auditable production systems, ensure scale, security, and reliability, and collaborate with product and customers to solve accounting problems.

Design, build, and operate secure, tenant-isolated cloud infrastructure and CI/CD for an AI-native multi-tenant platform. Implement observability, policy-as-code, SLAs, incident response, and automate provisioning (Terraform/Helm). Support deployment, monitoring, and secure operations for ML/agent systems at scale.

Founding full-stack engineer to architect and build a production platform combining large-scale data systems and AI-native agents. Work across backend, frontend, data pipelines, agents, and deployment systems; define architecture, devops, CI/CD, and early engineering processes while shipping features and growing the team.

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 Staff Engineer, you will lead architecture design and development, mentor junior engineers, and improve DevOps processes in a cloud services environment.

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.

The Business Solution Architect leads the design and delivery of telecom solutions, bridging business needs and technical implementation while supporting digital transformation initiatives and guiding teams on architecture and integration.

The role involves leading full-stack architecture decisions, building scalable systems, optimizing performance, and mentoring developers, while driving platform strategies.

The role involves designing and building event-driven data services on AWS, focusing on real-time streaming, microservices, and integration with various AWS data services, ensuring scalability and quality.

Design, build, and operate AWS-native AI/ML systems: RAG pipelines, fine-tuned LLMs, and microservices. Implement IaC (Terraform), CI/CD, policy guardrails, and production deployments integrating Bedrock/SageMaker, LangChain, and telemetry for secure, scalable enterprise use.

As a Staff Software Engineer, you'll architect and build foundational platform services, focusing on data infrastructure, healthcare interoperability, and secure APIs while mentoring other engineers.