Top AWS Jobs in Toronto

Build and operate high-volume event streaming pipelines and analytical databases. Write production Elixir/Python services, integrate legacy pipelines, enforce event schemas and data quality, and provide monitoring, alerting, and SLA-driven observability for event data products.

Design, build, and operate a unified data platform: ingesting, processing, and exposing large volumes of data. Develop scalable ingestion pipelines, storage layers, observability, SLIs/SLOs, multi-tenant models, and metadata/ governance to enable secure cross-product data access and migrations from legacy systems.

Leads the architecture, design, development, integration, testing, and lifecycle governance of complex safety-critical railway signaling software. Defines architectures, analyzes requirements, designs algorithms, reviews code, troubleshoots defects, supports field testing and bids, and ensures compliance with quality, security, and safety standards. Provides technical leadership, mentoring, and guidance while driving CI/CD, technology innovation, and software engineering improvements.

Leads multi-team technical strategy and roadmap execution while remaining hands-on across frontend, backend, infrastructure, and data. Owns technical debt management, architecture consistency, API integrations, observability, SLAs, testing strategy, and developer tooling. Mentors engineers including senior staff, drives cross-team alignment, influences leadership, and delivers multiple significant initiatives in parallel. Requires deep Python and Django expertise, cloud and CI experience, and a computer science-related degree.

Lead the creation of Simplii Technology’s Developer Experience function and AI-native software development lifecycle. Own developer platforms, CI/CD, AI tooling governance, workflows, observability, FinOps, compliance, metrics, and roadmap strategy. Recruit and develop a founding team of senior engineers while partnering with engineering, security, risk, compliance, and executive stakeholders in a regulated banking environment. Represent the organization externally and establish scalable engineering standards and culture.

Leads the Infra Foundations engineering team, setting its roadmap, mentoring engineers, and maintaining reliable AWS foundations. Owns account provisioning, networking, IAM, infrastructure-as-code automation, GitOps workflows, quota management, patching, configuration management, incident response, and security collaboration. Establishes operational standards, drives self-service tooling adoption, and ensures infrastructure frameworks are safe, consistent, and dependable across teams.

Own the strategy, architecture, evaluation, and production delivery of Jerry.ai’s AI agents and workflow automation platform. Lead chatbot, voicebot, computer-use agent, document validation, transaction orchestration, and external system automation initiatives. Evaluate emerging AI technologies, make technical investment decisions, partner with OpenAI, and collaborate closely with engineering and prompt engineering teams. The role requires hands-on experience launching LLM systems and managing evaluations, regressions, latency, cost, and failure handling.

Design, build, and operate scalable backend automation systems using Go and PHP. Lead multi-sprint technical initiatives, architect resilient services, conduct code reviews, define SLOs, troubleshoot critical issues, mentor engineers, and collaborate with Product and Design. The role requires expertise in AWS, Kubernetes, distributed systems, databases, observability, and enterprise-scale software delivery.

Own the strategy, architecture, evaluation, and production deployment of Jerry.ai’s next-generation AI agents and workflow automation platform. Lead conversational agents, voicebots, computer-use agents, document validation, transaction orchestration, and external insurance-system integrations. Evaluate emerging AI technologies, make technical investment decisions, partner with engineering and OpenAI, and ensure systems meet requirements for reliability, latency, cost, regression prevention, and failure handling.

Leads enterprise-wide second-line oversight of cybersecurity and technology risk within a regulated financial institution. Provides independent challenge, risk assessments, governance, control oversight, regulatory updates, maturity evaluations, and executive reporting. Develops cyber and technology risk strategies, KRIs, KPIs, risk models, and emerging-risk practices while overseeing cloud, information security, business applications, and technology initiatives. Manages and develops a North American team, advises senior leaders and regulators, and strengthens the organization’s risk culture and capabilities.

Design, build, and maintain scalable data pipelines and infrastructure using Spark, Kafka, cloud platforms and containerization. Ensure data integrity, ETL, high availability, performance tuning, observability, and collaborate with AI/data science teams to enable analytics and ML solutions.

Designs and delivers complex cloud, data, and AI/ML systems. Responsibilities include building cloud-native microservices, serverless and containerized workloads; implementing infrastructure as code, CI/CD, monitoring, and observability; contributing to data platforms and MLOps; and integrating LLM capabilities. The role collaborates with engineering, data, AI, and product teams, documents architecture, participates in design reviews, establishes best practices, and mentors junior engineers.

Leads end-to-end architecture for complex cloud, data, and AI/ML systems. Defines technical strategy, designs scalable multi-cloud and hybrid solutions, establishes infrastructure-as-code and DevOps standards, drives migrations and modernization, and optimizes performance, cost, security, and reliability. Partners with clients and leadership, documents architecture, mentors engineers, evaluates emerging technologies, and serves as a technical escalation point for complex integration challenges.

Design, build, and support secure infrastructure across cloud, on-premises, and hybrid environments. Translate security and regulatory requirements into operational controls, improve monitoring/detection/response, support vulnerability remediation and audit readiness, evaluate security technologies, and automate hardening and standardization while partnering with IT, security, GRC, and business teams.

Develop and maintain internal automation tools, dashboards, and control panels using Next.js, React, Python, PHP, WordPress, APIs, databases, and AI services. Integrate third-party systems, troubleshoot and improve automation workflows, optimize performance and reliability, document technical solutions, and collaborate with the Product team. This is a fully remote independent contractor role requiring collaboration during EST hours.

Staff Machine Learning Engineer sets technical direction for production ML architecture, deployment, serving, monitoring, testing, CI/CD, observability, and incident response. The role builds high-throughput, low-latency ML services; leads MLOps practices; supports recommendations, ranking, multimodal systems, LLMs, and AI agents; and drives cross-team technical decisions and multi-quarter initiatives.

Build and maintain full-stack software across frontend and backend systems. Develop APIs, backend services, integrations, and user-facing features; write tested code; debug production issues; and work with databases, AWS, microservices, and CI/CD. Collaborate with Product, Design, and engineering teams, contribute to code reviews, and improve reliability, performance, security, and user experience. Take ownership of work from development through production while continuously learning and using AI tools to improve engineering practices.

Build, evaluate, and deploy agentic AI systems that automate insurance operations. Own full-stack features and core product areas from design through production, shape architecture and tooling decisions, collaborate with customers and forward-deployed engineers, lead technical initiatives, establish engineering practices, mentor engineers, and contribute to product strategy.

Leads platform engineering and AI enablement across AWS and Azure. Responsibilities include cloud architecture, infrastructure-as-code, developer platforms, CI/CD, APIs, integrations, data platforms, reliability, incident response, security, vendor accountability, and responsible AI productionization. The role manages technical teams, establishes engineering and governance standards, supports enterprise AI tools such as Snowflake Cortex and Copilot, and partners with business stakeholders to deliver secure, scalable, supportable platforms.

Ensures the stability, security, and efficient operation of cloud and on-premises infrastructure. Responsibilities include designing and deploying systems, managing Azure, AWS, and GCP environments, integrating servers and enterprise services, maintaining identity and networking platforms, conducting audits and disaster recovery procedures, monitoring performance, troubleshooting issues, coordinating vendors, documenting configurations, and supporting end users. The role also contributes to systems planning, governance, testing, optimization, and cloud-hybrid infrastructure strategy.

Software Engineer Interns will design and build reliable product features, scalable frontend applications, and APIs for Zip’s web-based procurement platform. They will collaborate with product and customer-facing teams, write maintainable code, and learn from experienced engineers while working on complex technical challenges. The role is a Toronto-based co-op beginning in January 2027.

Lead the development and optimization of customer and producer digital storefronts. Responsibilities include gathering and prioritizing requirements, managing the product backlog, defining user stories, setting sprint goals, coordinating Agile ceremonies, monitoring KPIs and system performance, developing technical documentation, and executing a long-term platform strategy. The role serves as the primary liaison between stakeholders and engineering teams while driving customer-focused innovation and technical improvements.

Build and operate globally scalable, multi-region infrastructure for Zip. Own core infrastructure components such as Kubernetes, AI infrastructure, observability, deployment pipelines, and cost optimization. Lead system design and implementation, ensure operational excellence, and collaborate with engineering teams to support product growth. The role requires four years of software engineering experience, independent ownership of large-scale platforms, strong communication, and a relevant technical degree.

The Information Systems Engineer will design integrations and enhance engineering processes across various business systems, focusing on scalability and efficiency. Responsibilities include collaborating with teams to implement systems solutions, optimizing integrations, monitoring performance, and supporting production applications.

Designs, operates, and improves reliable, resilient, and secure hybrid infrastructure across on-premises and cloud environments. Responsibilities include infrastructure automation, Windows and Linux administration, monitoring, capacity planning, backup and disaster recovery, incident response, vulnerability remediation, audit readiness, and compliance activities. The role also manages cloud, virtualization, networking, identity, and DevOps tooling; develops operational standards and documentation; coordinates vendor escalations; and mentors junior engineers.