Top AWS Jobs in Ottawa

As a Software Developer Co-op, you will develop, debug, and test 5G software, create tools for developers, and leverage AI/ML techniques to improve software features.

Lead design and delivery of AI and Generative AI solutions for telecom customers. Translate customer needs into scalable architectures, drive end-to-end implementation, support pre-sales, mentor teams, and provide thought leadership on AI strategy, governance, and deployment across CSP ecosystems.

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.

Design, build, and optimize Databricks Lakehouse data platforms and production ETL/ELT pipelines using PySpark, Delta Lake, and medallion architectures. Implement governance with Unity Catalog, manage CI/CD and IaC, optimize Spark and clusters for performance/cost, collaborate with data science and analytics teams, and mentor engineers while driving observability and security/compliance practices.

Design, build, and optimize Snowflake-based data platforms: ingest and model data, implement ELT pipelines, enforce governance and security, tune performance, build CI/CD, enable near-real-time solutions, mentor engineers, and collaborate with stakeholders.

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.

Drive CI efforts, ensuring reliable and scalable development pipelines, while mentoring other engineers and improving developer productivity through tooling and automation.

Design, deploy, and maintain end-to-end ML risk solutions at scale to detect and prevent fraud, merchant risk, and credit loss. Partner with cross-functional teams, lead technical decisions, build ML tooling, monitor models in production, and investigate emerging abuse patterns to improve detection and decisioning.

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.

Design, build, and operate enterprise-scale multi-cloud infrastructure (Azure primary, GCP, AWS exposure). Own landing zones, Terraform modules, production AKS/GKE Kubernetes, Vault secrets, hybrid networking, CI/CD pipelines, monitoring, DR, and automation (Ansible, Python/Bash). Mentor engineers, document runbooks, and collaborate with security, application teams, and leadership to ensure secure, reliable, cost-optimized cloud platforms.

The Senior Software Engineer II will design automated reliability systems, improve tooling for incident management, and enhance observability infrastructure, contributing to operational excellence across engineering teams.

Build and scale self-serve, customer-facing growth products across the full stack. Partner with product, design, and GTM teams to run data-driven experiments, deploy production-quality systems, and drive revenue, retention, and engagement.

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

Lead QA efforts to design and maintain automated end-to-end tests across internal and external systems, build evaluation frameworks for AI/LLM features, embed testing into CI/CD pipelines, foster a shift-left quality culture, and transform manual testing into automation while collaborating with engineers and product managers.

The Engineering Manager will lead the data platform team, driving architectural decisions, optimizing systems for performance, and collaborating cross-functionally to enhance data usability and value.

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.

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.

The Senior Software Engineer will develop backend services, optimize infrastructure, improve processes, maintain CI/CD pipelines, and mentor team members in a collaborative environment.

The Staff Analytics Engineer will develop and manage the Financial Subledger Data Platform using dbt and Snowflake, ensuring data quality, building models, automating workflows, and coaching an Analytics Engineer.

Lead design, automation, and maintenance of cloud-based database infrastructure (primarily SQL Server and MySQL). Improve reliability with monitoring, HA/DR, automation, troubleshooting, on-call support, and mentoring of junior engineers while collaborating across teams.

Develop, launch, and maintain backend systems for card issuing and transaction processing. Break down projects, collaborate with product/design/analytics, write clear well-tested code, support operations and on-call duties, create/monitor metrics, perform code reviews, and participate in hiring and team growth activities.

Looking for a Software Engineer to build financial products and tooling for Cash App's Lending team, ensuring quality and compliance while collaborating across domains.

The Senior Software Engineer will own delivery goals, collaborate on product development, identify and solve technical issues, and foster quality and ownership on their team.

The Staff Product Security Engineer will enhance product security through collaboration with teams, threat modeling, code analysis, and developing security-focused testing practices.

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.