Top AWS Jobs in Ottawa

Design, build, deploy, and optimize AI/ML models and pipelines (including LLMs and RAG). Integrate models into production, work with cross-functional teams, ensure monitoring and compliance, and contribute to scalable AI systems and automation.

Hunt and develop new AI consulting opportunities across North America. Source, qualify, and manage pipeline, conduct outreach and discovery, partner with leadership to close deals, and travel for client meetings (approx. 40%).

Hunter-oriented business development role focused on sourcing and qualifying new AI consulting opportunities across North America. Build and manage a multi-vertical pipeline, perform outbound prospecting, coordinate discovery calls, partner with leadership to close deals, and attend industry events. Travel expected ~40% for client meetings and conferences.

Lead development, training, deployment, and optimization of deep learning computer vision models using aerial and geospatial imagery. Build high-quality datasets, collaborate with product and engineering teams to translate requirements, and mentor data science team members while establishing best practices for production ML.

Build, maintain, and operate Mimica’s multi-region Kubernetes platform (GKE/EKS), infrastructure-as-code, GitOps pipelines, and observability. Support engineering teams, triage incidents, migrate IaC to Crossplane, drive FinOps, and design BYOC/single-tenant access patterns while automating work with Python tooling.

Lead and mentor a team of Cyber Risk Advisors while delivering senior-level exposure management advisory to customers. Interpret vulnerability and attack-surface data, prioritize remediation, monitor critical exposures, ensure measurable risk reduction, handle escalations, track service KPIs, and identify expansion and improvement opportunities.

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.

The Forward Deployment Engineer will deploy and optimize Generative AI solutions, architect scalable infrastructure, and implement data pipelines across multi-cloud environments while collaborating with cross-functional teams to maximize business value.

As a Systems Engineer, you will provide IT support, manage ticketing queries, maintain documentation, and adhere to change control procedures.

Lead Kraken's Data Platform team focused on real-time infrastructure for data systems, managing team dynamics, architecture design, and promoting AI automation.

The Senior Software Engineer will develop AI/ML features, build robust APIs, create user-friendly UIs, and integrate AI models into ClickHouse Cloud.

The Detection & CorpSec Engineer at Quora will build and maintain detection systems, strengthen corporate security controls, and respond to security incidents while collaborating with IT and advising non-technical teams.

Lead high-impact AI solutions, overseeing architecture and deployment. Partner with stakeholders, coach engineers, and drive project success from inception to launch.

Join the Platform squad to build and maintain a Typescript-based serverless microservices platform on AWS. Improve cloud availability, security, CI/CD, public APIs, data pipelines, internal DevOps libraries, and developer tooling while collaborating across product and engineering teams.

As a Software Engineering Manager at Thanx, you'll cultivate a high-performance culture, oversee team delivery, drive innovation, and mentor technical talent.

Build tools and infrastructure for training language and multi-agent models in interactive environments; research and implement advances in language modeling and reinforcement learning; contribute to publications and open-source projects.

Design, deploy, and maintain HPC and MLOps infrastructure across cloud and on-prem clusters. Manage schedulers (Slurm/PBS), optimize MPI/CUDA stacks, storage and networking, automate deployments with Python/Bash, instrument systems, and enable AI training/inference pipelines while collaborating with product and support teams.

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.

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.

Design, provision, and manage cloud infrastructure using IaC (Terraform/Pulumi). Build and optimize Docker containers, CI/CD pipelines, container compute (EKS/GKE/ECS/Fargate/Cloud Run), serverless functions, networking, storage, and databases. Implement cloud security and compliance controls, automate operations with code (Go/Python/Node.js/Bash), and ensure monitoring and high uptime while working independently with cross-functional teams and clients.

Embed as the primary technical authority for post-sales customers to guide deployment architecture, onboarding, and adoption of agentic AI development workflows. Lead end-to-end onboarding and remediation engagements, design repeatable reference architectures, translate complex environments into secure network/identity/infrastructure patterns, capture product feedback, and document scalable delivery patterns to drive customer outcomes.

Act as the primary technical pre-sales lead for Quebec and European markets: conduct demos, workshops, technical discovery, and POC deployments; enable partners; support RFPs and strategic expansion; translate AI and data-security capabilities into business value; gather product feedback; build tailored demo environments; and travel regularly for customer and partner engagements.

Build and operate a reliable data platform: monitor infrastructure and pipelines, automate platform tasks, manage IaC and CI/CD, support RBAC and governance, contribute to data pipelines and migration, document runbooks, and participate in on-call incident response while improving AI-assisted engineering workflows.

Lead full-stack development of scalable, high-performance front-end and back-end systems using 3D/computer-vision tech. Drive architecture, mentor engineers, own key front-end systems, and deliver features from design to launch while collaborating with internal and external partners.