Top AWS Jobs in Ottawa

Lead design and development of AI-enhanced baseband solutions across PHY/L1, L2 and scheduling. Identify AI opportunities, prototype and evaluate ML algorithms, optimize for RAN compute and accelerators, validate via simulation/lab/over-the-air, collaborate cross-functionally, scout technologies, and mentor peers to bring prototypes into deployable solutions.

Design, develop, and support cloud-native microservices and test frameworks for 5G core. Work full-stack including service code, automated tests, deployment scripts, CI/CD, containerization (Docker/Kubernetes), monitoring, and test strategy. Apply 3GPP core knowledge to system-level testing and collaborate in Agile/DevOps teams.

Lead design and delivery of scalable ML systems across the full lifecycle for recommendations, forecasting, targeting, and personalization. Collaborate with engineers and product teams, set modeling and productionization standards, mentor data scientists, guide architecture and experimentation, and apply cloud and MLOps best practices to drive measurable product and business impact.

Design, build, and ship production AI systems for Acquia DAM. Architect agentic, stateful multi-agent workflows, own AI observability and RAG architectures, evaluate LLM providers and tooling, mentor engineers, and ensure enterprise-grade security, scalability, and compliance for AI features.

Build automated reliability and self-healing platform tooling to protect production at scale. Improve incident management, reduce alert noise, evolve observability (monitoring, SLOs, performance detection), and develop AI-driven operational automation. Partner with product teams to diagnose reliability gaps, drive incident prevention, and champion operational excellence and best practices across engineering.

Design, deploy, and maintain end-to-end ML-driven risk solutions at scale to detect and prevent fraud, abuse, and credit risk. Lead technical decisions, build ML tooling and processes, apply state-of-the-art models and third-party data, investigate emerging risk patterns, and collaborate with platform and cross-functional teams to ensure reliable real-time model operation.

As a Principal Data Engineer, you will design and implement LLM, AI-powered security data platforms, mentor engineers, and drive the adoption of data solutions across teams.

Lead the Orchestration Services team, overseeing data management and engineering projects while fostering team development and collaboration. Drive technical decisions and multi-year roadmaps for new products.

You will design, develop, and launch backend systems, APIs, and collaborate with cross-functional teams to support product development and operations.

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.

In this role, you will lead AI personalization initiatives, develop AI/ML models for user experience, collaborate across teams, and ensure rigorous development practices.

As a Staff ML Engineer, you'll design and operate Samsara's ML platform, partnering with teams to deliver scalable ML solutions that enhance safety and efficiency in physical operations.

As a Senior Software Engineer, you will design and build a new lifecycle orchestrator service, mentor engineers, and drive technical strategies while improving engineering standards and processes.

Lead and grow an Account Management engineering team responsible for customer-facing self-service surfaces. Drive technical roadmap, system availability, OKRs, cross-functional collaboration, hiring, and engineering culture while occasionally contributing hands-on to architecture and code.

Own and drive delivery of the Queryable Encryption program: coordinate cross-functional engineering, product, crypto, analytics, and field teams; manage dependencies and risks; participate in technical design; deliver against product vision and business objectives; mentor TPM peers and improve program frameworks.

Design, operate, and improve on-premises MLOps infrastructure to productionize, deploy, monitor, and optimize ML models. Troubleshoot across the stack (Linux, Docker, Kubernetes), refine CI/CD workflows, integrate training/validation testing, and collaborate with data scientists and engineers to ensure reliability and performance at scale.

The Staff Software Engineer - Applied AI will develop and integrate AI-powered systems and tools, driving innovation through experimentation and collaboration with cross-functional teams to deliver impactful solutions.

Lead the Developer Environments team, enhancing software development productivity. Drive strategy, manage systems, and improve developer workflows and tooling.

The Principal Software Engineer will design and optimize backend applications/services, improve payment integration, and oversee code quality within AWS.

The Senior Security Engineer will secure cloud infrastructure across various services, develop security policies, manage exceptions, and respond to security alerts while collaborating with teams to eliminate security risks.

Lead and deliver AI-native full‑stack engineering projects from prototype to production. Collaborate with PM, design, and analytics, mentor engineers, define technical plans, ensure operational reliability, and drive quality, code review standards, and on-call support for rapid, experiment-driven product development.

Lead development and production of underwriting and credit decisioning models across Cash App Borrow and Afterpay. Own full modeling lifecycle: problem formulation, feature engineering, training, calibration, experimentation, deployment, monitoring, and iteration. Build decision frameworks, agentic engineering workflows, and collaborate with cross-functional partners to align model behavior with business and regulatory goals.

Build and maintain large-scale marketplace systems across revenue, product, and platform teams. Lead architecture and process improvements, deploy and monitor production services, mentor engineers, and drive adoption of AI-first development practices to increase velocity and code quality.

Own and evolve Babylist's AWS infrastructure, Terraform IaC, Kubernetes/EKS clusters, CI/CD, and observability for a platform serving millions. Lead incident response, improve developer tooling, and set reliability standards across engineering teams.