Top AWS Jobs in Ottawa

Lead product and technical strategy for cloud-native Core Network User Plane sub-services, driving architecture, SRE/CI-CD adoption, cross-functional delivery from trials to commercial scale, and establishing metrics for reliability, cost-efficiency, and operational health.

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 large-scale, cross-functional engineering projects to deliver AI-native SaaS features. Own platform architecture for multi-tenant, cloud-native systems, drive engineering standards and developer tooling, mentor engineers, and operationalize LLMs, agent frameworks, and real-time data in production.

Build and maintain scalable integration and end-to-end test automation frameworks and CI pipelines. Optimize test execution, improve stability and reporting, support engineering teams with triage and best practices, write technical specs/ADRs, participate in on-call rotation, and collaborate across regions to evolve the companys test strategy and developer productivity tooling.

Lead and own a broad domain end-to-end: set multi-team architecture and roadmap, build platform and tooling, ship production systems, define AI standards and evals, partner with product/design/data, coach senior engineers, and solve high-impact technical and product problems.

Own end-to-end engineering problems across Babylist's Rails monolith and AI-enabled systems. Design, ship, and iterate on features and abstractions, run experiments, harden critical paths, review risky changes, and share AI learnings. Work across backend, frontend, mobile, data and ML infrastructure to improve customer outcomes and platform reliability.

Lead development and operation of cloud-native CI/CD pipelines, automate build/release workflows, onboard and integrate services, maintain availability and observability, collaborate across teams, support production environments and participate in on-call rotations.

Lead end-to-end data science initiatives: design, deploy, and monitor ML/statistical models for credit risk, pricing, collections and fraud. Collaborate cross-functionally to integrate models into production, define model development standards, mentor team members, and maintain scalable ML pipelines and monitoring systems to drive measurable business impact.

Design, build, and maintain SparkSQL/PySpark data pipelines in the central data lake to ingest IoT, product, and unstructured data (video/audio). Produce reliable computed tables for analytics, model training, and dashboards; integrate external datasets; ensure high data quality and uptime; and collaborate with Data Science, ML, and cross-functional teams.

Lead detection, incident response, and digital forensics across macOS/Windows/Linux; act as Incident Commander, triage alerts, use SIEM, build investigation scripts and automated runbooks, collaborate with stakeholders on insider threat and security operations improvements.

The Staff Software Engineer will lead the development of backend services and data pipelines for real estate MLS data, mentor teams, and work on AI integration.

Design, build, and operate large-scale Spark/PySpark data pipelines and the enterprise data platform. Implement data integrations, transformations (Python/SQL), monitoring, and data quality. Build MCP servers and AI-enabled tooling, optimize performance, mentor engineers, and lead cross-functional data projects to enable analytics and automation.

Design, build, and operate authentication and authorization systems for Samsara's IAM platform, including agent identity and enterprise audit systems. Drive architecture, cross-team integrations, mentor engineers, and collaborate with Infrastructure, Security, Compliance, and Product to ensure scalable, secure identity solutions for millions of users and devices.

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.

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.

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 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.