Top AWS Jobs in Ottawa

Build and scale production AI systems, APIs, data pipelines, retrieval systems, and model-serving infrastructure for consumer and clinician-facing health products. Integrate and fine-tune LLMs and other models, manage AI feature lifecycles from prototyping through monitoring, and ensure reliability and observability. Collaborate with engineering, product, and science teams. More senior candidates may lead AI architecture, roadmap development, and mentoring.

Build and maintain backend services, REST APIs, databases, customer-facing products, internal tools, and data platforms. Improve database architecture, performance, reliability, scaling, and migrations. Contribute to full-stack development, AWS infrastructure, serverless systems, CI/CD, deployments, monitoring, and architectural decisions while collaborating with product, design, and leadership.

Leads the Solutions Architecture function across direct sales, cloud, partner, and solution-provider channels. Hires, coaches, and develops SAs; owns technical coverage, deal velocity, PoC win rates, technical qualification, escalations, playbooks, and pre-sale to post-sale handoffs. Partners with Sales, Partnerships, Engineering, Product, TAM, and Customer Engineering while contributing to strategic evaluations and team-wide ARR bookings.

Own the React Native application end to end, including architecture, performance, releases, app-store presence, and roadmap. Lead and mentor two mobile engineers, establish technical direction, and collaborate on engineering and product strategy. Deliver polished iOS and Android experiences, run experiments, measure growth and retention impact, and iterate rapidly. The role may help expand the mobile team as the app grows.

Architect, build, and operate Redpanda’s Agentic Data Plane and cloud services across AWS, GCP, and Azure. Lead large technical projects, define architecture, develop automated provisioning and self-healing systems, and ensure reliability, scalability, security, observability, and zero-downtime upgrades. Participate in on-call operations, mitigate technical risks, and collaborate across engineering, product, and customer-facing teams.

Develop and maintain scalable backend services supporting product provisioning, licensing, and purchasing. Design architectures, write tested Java-based code, troubleshoot production issues, improve reliability, and contribute to cloud-native infrastructure. Collaborate with product and engineering teams, participate in technical decisions and code reviews, mentor engineers, and provide hands-on technical leadership across distributed systems and microservices.

Build and evolve product features across backend and frontend technologies. Collaborate with Product and Design teams to improve user experiences and take ownership of features in production.

The Cybersecurity Engineer will design and implement security infrastructure, manage vulnerability processes, lead incident responses, and collaborate across teams in a fintech environment, focusing on AWS security.

Designs and implements security controls across cloud platforms, operating systems, Kubernetes, networks, and CI/CD. Audits infrastructure for vulnerabilities, develops security and privacy improvements, performs threat modeling, and drives remediation. The role includes software development, infrastructure security analysis, and serving as an infrastructure-level subject matter expert during security incidents.

Develop and maintain secure, scalable Java backend applications and integrations. Design RESTful services, troubleshoot production issues, improve performance and reliability, apply secure coding practices, and collaborate with UI and business stakeholders. The role includes monitoring systems, conducting code reviews, supporting incident postmortems, and mentoring junior developers within an Agile engineering team. This is a hybrid position based in Etobicoke, Ontario, requiring two office days per week.

Design, build, test, refactor, and maintain production Rails software using Rails, Bootstrap, Stimulus, and Postgres. Own a defined codebase area, design data models, review code, maintain disciplined testing, collaborate with product managers, and mentor 1–3 junior engineers. Contribute in a fast-moving startup environment, evaluate third-party tools and APIs, and use AI development tools such as Claude Code or Codex.

Designs, builds, and maintains cloud environments and CI/CD pipelines for scalable, reliable applications. Responsibilities include cloud platform assessment, infrastructure automation, container orchestration, application deployment, monitoring, vulnerability remediation, security safeguards, testing, documentation, issue tracking, and technical reporting. The role requires extensive Linux, scripting, cloud, integration, testing, and DevOps tooling experience, with at least five years supporting cloud platforms and CI/CD initiatives.

Owns full-stack engineering, cloud infrastructure, reliability, cost governance, legacy-to-cloud migration, and AI-assisted development for a multi-tenant ERP platform. Leads engineering, QA, contractors, release governance, customer go-lives, vendor evaluation, and executive reporting. The role requires deep TypeScript/Node and React expertise, financial-system correctness, Azure or AWS architecture, ETL and data reconciliation, CI/CD, incident response, SaaS security, and pragmatic maintenance of Java/Spring and VB6 legacy systems.

Source and recruit technical and non-technical talent globally, build pipelines for high-priority roles, conduct personalized outbound campaigns, and partner with hiring managers through offer closure. The role requires strong Boolean, X-Ray, GitHub, and passive-candidate sourcing skills, along with recruiting analytics, AI and automation use, coordination, and independent management of multiple hiring priorities.

Deploys, integrates, supports, and optimizes video delivery solutions in customer broadcast and streaming environments. Responsibilities include installation, configuration, troubleshooting, log and performance analysis, customer training, deployment documentation, automation scripting, and collaboration with R&D, Sales, and Product Management. The role requires Linux, networking, video compression, and streaming protocol expertise, participation in a 24/7 on-call rotation, and on-site work in Toronto three days weekly.

Build and deploy AI-powered automations across the business. Partner with teams to identify opportunities, redesign processes, integrate systems through APIs, and launch scalable workflows using LLMs, agents, and automation platforms. Document solutions, establish safeguards, enable adoption, and measure efficiency gains. The role requires strong ownership, responsible AI practices, business understanding, and hands-on experience with AI development, APIs, Python or similar languages, SQL, databases, and modern deployment tools.

Lead technical engagements with high-priority enterprise customers, supporting container and AI journeys, developer workflows, solution demonstrations, prototyping, enablement, and product alignment. Partner with sales, product, engineering, and customer teams to translate business needs into technical solutions and prioritized product feedback. Serve as a regional technical thought leader and represent Docker with customers and technical alliance partners. Travel domestically and internationally up to 50%.

Designs and optimizes scalable cloud infrastructure, CI/CD pipelines, and infrastructure-as-code systems. Automates provisioning, configuration, and software delivery across environments while improving reliability, observability, incident response, performance, and security. Collaborates with Software Engineering, Security, SRE, and Product teams to maintain highly available infrastructure and ensure compliance with organizational standards.

Design, develop, test, deploy, and operate scalable Java backend services, APIs, microservices, databases, and event-driven systems. Own projects across the software lifecycle, collaborate with product and infrastructure stakeholders, conduct code reviews, and build testing and observability. Troubleshoot production issues, participate in incident response, and improve system reliability, performance, scalability, and maintainability.

Designs and scales infrastructure for GenAI and LLM workloads across multi-GPU, cloud, and on-premise environments. Responsibilities include GPU profiling, distributed training optimization, Slurm and Kubernetes cluster management, NVIDIA stack enablement, GenAI pipeline deployment, infrastructure-as-code, CI/CD automation, self-service platform development, monitoring, and client-facing architecture leadership. The role mentors technical teams and collaborates with data science, MLOps, software engineering, and application teams.

Manage and support Windows and Linux production servers and AWS infrastructure. Maintain hosting platforms (Plesk, WordPress), handle onboarding/offboarding, incident response and on-call duties, improve documentation and processes, harden security (patching, access controls, audit logs), and automate repetitive tasks.

Design, build, test, and maintain Magnet One cloud platform features across front-end and back-end. Collaborate on architecture, perform code reviews, troubleshoot defects, and drive best practices for secure, performant, and maintainable software.

Designs and maintains scalable cloud and on-premise infrastructure, Infrastructure as Code, Kubernetes environments, CI/CD pipelines, data streaming, caching, observability, and incident response systems. The role owns AWS reliability and cost efficiency, supports progressive deployments, troubleshoots complex production issues, partners with software teams, and drives automation and continuous improvement across platform operations.

As a Full Stack Product Engineer, you will design and deliver features, collaborating with product teams while taking ownership of projects and ensuring system performance and maintainability.

Own and improve security posture, design and maintain scalable AWS infrastructure with Terraform, embed with product teams to bake security into CI/CD, operate containerized workloads, and participate in on-call incident response to ensure resilient, high-volume browser rendering services.