Top AWS Jobs in Toronto

Design and maintain scalable backend, full-stack, and AWS data infrastructure supporting millions of daily events and hundreds of integrations. Set technical direction for data pipelines, lead architecture and planning, troubleshoot production issues, collaborate across teams, manage work in Jira, research improvements, and mentor engineers. The role owns initiatives end to end while developing reliable, cost-efficient serverless systems using Node.js, TypeScript, React, and AWS services.

Embed with clinical, product, and operations teams to deliver production AI features end to end. Build agentic systems using RAG, tool calling, MCP, and orchestration; establish evaluations, validation standards, monitoring, and governance; deploy solutions on the shared AI platform; and create reusable templates and tools. Partner with stakeholders in regulated healthcare environments while improving organizational AI fluency.

The role involves designing and developing high-performance web apps, improving user interfaces, maintaining component libraries, and ensuring code quality through comprehensive testing and collaboration with other teams.

Build and own backend services, web applications, REST APIs, webhooks, and enterprise integrations. Lead customer integrations from scoping through launch, improve the operator dashboard, and maintain production reliability through monitoring, incident response, and root-cause analysis. Collaborate with product, success, and customer engineering teams while contributing to code reviews, technical design, mentoring, security, and AI-assisted development.

Design and build scalable backend systems, APIs, and cloud-native services supporting millions of users. Collaborate with product and architecture teams, maintain comprehensive automated tests, optimize distributed-system performance, respond to production incidents, and own service reliability. Participate in technical reviews, make architectural decisions, mentor engineers, and contribute to continuous improvement in a fast-paced environment.

Build customer-embedded solutions for Origin’s AI observability platform. Investigate customer traces and operational data using SQL, ClickHouse, APIs, and MCP tools; develop dashboards, integrations, workflows, prototypes, and production code; lead technical discovery; and translate field insights into reusable product capabilities. The role requires close collaboration with enterprise engineers, security teams, AI platform teams, and executives, with travel of up to approximately 20%.

Build and operate Origin’s AI observability platform across data-collection agents, backend services, infrastructure, inference pipelines, APIs, and React interfaces. Design distributed systems using AWS, EKS, ClickHouse, and Kafka for high-throughput, multi-tenant production workloads. Develop internal coding agents and define AI-native engineering practices while making decisions around storage, APIs, performance, and reliability.

Integrate security into software delivery and infrastructure workflows across AWS and GCP. Build scanning into CI/CD pipelines, maintain security guardrails, secure containerized workloads, implement least-privilege access and secrets management, and support compliance with SC TRM and BNM RMiT. Improve monitoring, vulnerability reporting, incident readiness, and secure delivery practices while collaborating with platform and engineering teams using multiple programming languages.

Designs and manages scalable data integration pipelines, governance controls, semantic enrichment, and orchestration systems for enterprise AI and analytics. Builds real-time data flows, APIs, connectors, RAG and embedding pipelines, vector database integrations, monitoring, audit trails, and AI guardrails. Partners with engineers, governance teams, and business stakeholders to make enterprise data secure, explainable, reusable, and ready for agentic AI workflows.

Lead the FinOps engineering team to design and implement backend services, cost-optimization tooling, data pipelines, APIs and dashboards, mentor engineers, and partner across engineering, finance, and product to drive cloud and vendor cost efficiency.

The Senior Data Engineer will design and maintain streaming data pipelines, develop analytical databases, and ensure data system reliability while collaborating with teams across the organization.

Own product engineering work end to end, from understanding customer problems and shaping solutions through implementation, shipping, and iteration. Build and maintain Ruby on Rails, Vue.js, GraphQL, and MySQL systems; develop APIs, improve database performance, prototype architectures, and participate in on-call support. Use and improve coding-agent workflows, contribute to an internal software factory, collaborate with product and design, mentor teammates, and promote engineering best practices.

Build and own production systems for Faire’s marketing organization, including landing pages, audience synchronization, campaign automation, paid media feeds, data layers, and recommendation tooling. Write production code, operate services end to end, participate in on-call, and integrate AI agents with evaluations, monitoring, and defined failure modes. Partner directly with marketing teams to turn ambiguous needs into scalable self-service capabilities.

Build and scale data platforms, ETL pipelines, data lakes, warehouses, feature stores, and orchestration tooling. Integrate clickstream, relational, and unstructured data using Databricks and AWS. Partner with data scientists, ML engineers, product managers, and business stakeholders to support analytics, predictive modeling, and data-driven decisions. Maintain production systems, automate testing and monitoring, and communicate technical roadmaps and challenges.

Lead software development for Invoice Simple’s growth platform, providing technical guidance, mentoring engineers, refining product roadmaps, implementing and shipping scalable features, and promoting high-quality architecture, testing, security, and maintainability. The role uses TypeScript, React, Node.js, PostgreSQL, MongoDB, and cloud technologies while collaborating with product stakeholders and supporting continuous delivery.

Leads the strategy, roadmap, architecture, reliability, and operations of a cloud-based security data platform. Oversees data pipelines, APIs, identity, tenant management, developer tooling, CI/CD, governance, security, and scalability. Partners with Product and SRE, drives operational excellence and AI adoption, and builds a high-performing organization through hiring, mentorship, and technical leadership.

Build, refactor, test, and maintain secure, scalable cloud services and microservices for Guidewire’s insurance platform. Design REST or gRPC APIs, use Java and Spring, work with containers and cloud platforms, and apply CI/CD and DevOps practices. The role also involves responsible use of AI-assisted coding tools, collaboration in agile cross-functional teams, observability, code quality, and continuous improvement.

Designs, develops, and supports enterprise applications using Microsoft Power Platform. Builds Power Apps, Power Automate workflows, Dataverse solutions, Power BI dashboards, SSRS reports, SQL queries, and SSIS integrations. Partners with stakeholders on solution delivery, testing, deployment, governance, security, compliance, and production support. Provides technical leadership and supports application architecture, data management, reporting, and digital transformation initiatives in a regulated financial-services environment.

Own software features end to end for an enterprise public budgeting platform, including requirements clarification, design, implementation, testing, code review, deployment support, and documentation. Develop with C#, VB.NET, .NET Framework, ASP.NET, T-SQL, SQL Server, Telerik UI, and jQuery while contributing to AWS modernization. Partner with product and design teams, mentor junior developers, and use AI coding assistants responsibly to improve development, testing, and review.

Own and deliver high-visibility technical programs, cross-functional initiatives, and complex cloud infrastructure projects. Define and monitor platform metrics, identify variances, recommend corrective actions, and improve outcomes across fast-moving Engineering and Product teams. Facilitate decision-making on ambiguous problems, align loosely coupled teams, and drive cloud-focused program execution using work-planning tools. The role emphasizes AWS, Kubernetes, platform engineering, security, cost optimization, and data-driven delivery.

Lead design, automation, and maintenance of secure, scalable IT infrastructure across SaaS, cloud, and endpoints. Administer core platforms, manage cloud touchpoints, build scripting and IaC automation, run onboarding/offboarding lifecycles, troubleshoot networks, lead IT projects, mentor junior engineers, and partner with Security and business units to align IT with compliance and risk posture.

Designs scalable, secure solution architectures aligned with business goals; develops capability catalogs, leads Architectural Decision Records and High-Level Design reviews, participates in architecture governance, promotes technology strategies, and mentors engineering teams. The role requires extensive software engineering and systems architecture experience, public cloud expertise, stakeholder collaboration, and experience operating in regulated technology environments.

Operationalize cyber threat intelligence by managing feeds, parsing indicators of compromise, analyzing adversary tactics, and integrating intelligence into SIEM, EDR, firewall, and security platforms. Build API integrations, scripts, and playbooks to automate ingestion and dissemination; support threat intelligence infrastructure; collaborate with security operations, detection engineering, and incident response teams; and produce actionable alerts, briefs, and reports.

Develop and maintain cloud-based IoT applications for manufacturing. Design secure, scalable full-stack solutions, APIs, data integrations and pipelines. Collaborate with architects, product owners, developers, and stakeholders; follow DevOps and agile practices; mentor team members and troubleshoot production issues.

Design, build, and manage Canadian sovereign and global cloud infrastructure using code. Automate provisioning (Terraform, Crossplane), develop services in Go/Python, onboard services, operate Kubernetes, use Puppet/Ansible, and collaborate with SRE, networking, and system administration to ensure secure, scalable environments.