Top AWS Jobs in Toronto

Design, deploy, and operate secure, automated cloud infrastructure (primarily AWS) and networking. Troubleshoot production issues, build IaC with Terraform/Azure DevOps, drive automation using AI tools, optimize performance and security, mentor junior engineers, participate in on-call rotation, and collaborate with cross-functional teams to deliver reliable cloud platform solutions.

Design, build, and operate secure, highly automated AWS cloud infrastructure using IaC and CI/CD. Troubleshoot production issues, improve observability and automation (including AI-assisted tools), collaborate with stakeholders, mentor junior staff, participate in on-call rotation, and drive platform innovation and governance.

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.

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.

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.

Design and own finance solution and data architecture for a multi-year finance transformation. Define integrations across sub-ledgers, GL, IFRS17 and actuarial systems, data flows, governance, controls, reconciliations, Snowflake/AWS data platform patterns, and reusable finance data products. Lead architecture governance, vendor assessments, and measurable outcomes while partnering with finance, actuarial, IT, and group architecture teams.

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.

Partner with sales and customer technical teams to design and deliver scalable Databricks Lakehouse architectures, present reference architectures and demos, validate integrations, and drive adoption of data engineering, data science, and ML solutions. Serve as a trusted technical advisor throughout the sales lifecycle and manage delivery of production data solutions.

Design and operate a scalable ML platform for model training, deployment, and governance while optimizing performance and supporting data scientists in productionizing workflows.

Own Faire's ML platform architecture and standards across training, inference, feature management, governance, and MLOps. Architect scalable Databricks/Spark/Delta Lake/MLflow workflows, optimize cost and reliability, integrate LLM workflows, mentor engineers, and lead cross-functional initiatives to increase data science velocity.

Design, automate, and operate hybrid cloud and datacenter networks. Develop and maintain Ansible playbooks and automation, troubleshoot connectivity, implement security, monitor systems, and participate in 24/7 on-call escalation for highly available network architectures.

Lead a ~50-engineer organization responsible for Transitions of Care. Define engineering strategy and roadmaps with Product, drive technical architecture across cloud platforms, scale AI-enabled products, mentor managers, lead hiring and succession planning, and ensure delivery of large-scale, secure, and reliable cloud solutions while fostering Agile/Kanban practices and cross-functional collaboration.