Top AWS Jobs in Ottawa

This role involves serving as the primary technical advisor for enterprise clients, ensuring effective implementation of low-code platform solutions, providing proactive technical support, and facilitating knowledge transfer to enhance client self-sufficiency.

Owned territory enterprise sales: build pipeline from inbound/outbound, articulate value prop, manage opportunities in CRM, forecast and exceed quota, collaborate with product/support/SE, and engage customers to close deals.

The role involves designing, building, and deploying machine learning models, collaborating with teams to address business problems, and mentoring other data scientists.

Maintain availability, monitoring, and incident response for BeyondTrust Cloud Service. Troubleshoot distributed systems, implement fixes and preventive measures, collaborate across teams to meet SLAs, document work, follow risk/compliance, and drive automation and continuous improvement.

Design, build, and maintain cloud infrastructure and automation for a SaaS orchestration platform on AWS. Develop IaC (Terraform preferred), reusable modules, CI/CD/GitHub Actions, observability, resilience, security controls, and platform services. Collaborate with Product, SRE, Security, and Cloud Ops to improve reliability, automation, and operational efficiency.

Proactively explore RevenueCat's data to identify product opportunities, translate ambiguous problems into analyses and production-grade predictive/descriptive models, partner with Product and Engineering to ship data-powered features (LTV prediction, experimentation, benchmarking), define statistical approaches, iterate on models in production, and communicate insights to technical and non-technical audiences.

Build and scale the internal development platform: create tools, services, and automation (CI/CD, canaries, feature flags, access workflows). Work with Pulumi/Python IaC for k8s, enable self-serve developer experience, lead AI tool adoption, participate in on-call, code and design reviews, and deliver major platform initiatives to help engineers ship safely and quickly.

Design, build, ship, and own end-to-end product features across frontend, backend, and data. Translate ambiguous product requirements into reliable, well-tested systems; deploy, monitor, and maintain production services; participate in design and architecture, code reviews, and mentor peers while working closely with product and design teams.

The Principal Engineer will architect and own the Shop Builder platform, defining APIs, developing tools for developers and AI agents, and ensuring the platform's technical standards and documentation are met.

Lead a team to deliver tools and API solutions for the Shop Builder platform. Coordinate cross-team dependencies and maintain engineering standards while actively contributing code and driving technical decisions.

Design and lead frontend architecture and development for scalable, secure web UIs that integrate with embedded systems and cloud platforms. Build device provisioning, telemetry visualization, and remote management interfaces; optimize performance and accessibility; mentor engineers; collaborate across backend, hardware, and systems teams to deliver end-to-end solutions.

Design and develop scalable, secure frontend web applications for connected embedded systems. Lead frontend architecture, collaborate with backend/embedded teams, implement device provisioning, telemetry visualization, and remote management UIs. Optimize performance, accessibility, and maintainability; mentor engineers, participate in reviews, and drive frontend best practices.

Lead cloud infrastructure monitoring, automate operations, and design AI-driven predictive monitoring and automated incident response. Manage CI/CD pipelines, enforce cloud security/compliance, build monitoring/logging/alerting systems, perform incident triage and collaborate with development teams to optimize cloud resources.

Lead Andela Academy, scaling enterprise learning solutions in AI and Cloud. Build relationships, oversee team delivery, and drive revenue growth with high client satisfaction.

Design, build, and deploy scalable ML models and pipelines to enhance a talent marketplace and GenAI solutions. Lead experimentation (A/B tests, statistical validation), improve production ML performance, ensure code and data quality, work with cross-functional teams, mentor junior engineers, and propose innovative AI-driven solutions aligned to business goals.

Support and troubleshoot enterprise billing platform across Salesforce, Zuora, AWS and Workday Financials. Monitor systems, resolve incidents and data discrepancies, participate in on-call rotations, collaborate with Engineering/Product/Finance, maintain runbooks, and improve monitoring and SOX-compliant operational controls.

Senior SRE focused on building cloud-native platforms, testable automation, and reliability tooling. Partner with Identity and Security to strengthen authentication/authorization, Okta integrations, and compliance. Design tests, write maintainable code (Go/Python), and improve observability and operational practices.

Design and build high-correctness Rust services on critical platform paths, introduce Rust for safety and performance, own systems end-to-end from architecture to operations, reason about concurrency and async, improve reliability and observability, collaborate across polyglot stacks, and mentor engineers.

The Software Engineer will design, develop, and maintain backend services and APIs for Speechify, focusing on performance, scalability, and user experience.

Senior Java engineer responsible for architecture and delivery of high‑scale, cloud‑native platform capabilities. Lead system design, implement critical Java components, drive observability and deployment practices, apply AI‑assisted engineering, produce architecture docs, mentor/hire, and collaborate cross‑functionally to ensure performance, reliability, and long‑term maintainability.

The Technical Lead leads development teams, ensuring project success by translating client requirements into applications, managing technical delivery, and adhering to best practices in software engineering and DevOps.

The Senior Forward Deployed Engineer manages client relationships, architecting, building, and closing deals while ensuring autonomous delivery of AI solutions. Responsibilities include discovery, architecture reviews, and capability transfer to clients, requiring significant engineering and client-facing experience.

Develop and support AI-driven SaaS solutions, lead architectural decisions, mentor engineers, design scalable microservices, and ensure code quality.

The Applied AI Backend Sr. Software Developer will design, develop, and maintain SaaS products, mentor junior engineers, and ensure robust backend services using AI tools.

The role involves developing and supporting SaaS products, leading architectural decisions, mentoring engineers, and ensuring code quality in AI-driven projects.