Top AWS Jobs in Toronto

Build and operate customer-facing SaaS applications using Java, Spring, React, and TypeScript. Own complex features from design through production support, develop APIs and distributed systems, improve frontend experiences, apply AI-assisted coding tools, modernize legacy software, strengthen CI/CD and observability, and mentor engineers through technical leadership and code reviews.

Owns the architecture, development, testing, deployment, and monitoring of scalable Okta Identity Governance features. Designs distributed systems and enterprise SaaS capabilities with strong reliability, performance, security, and multi-tenancy requirements. Collaborates across engineering, product, design, QA, and SRE teams; resolves customer issues, delivers production-ready code, and drives technical alignment across stakeholders.

Lead architecture and high-risk technical work across interconnected systems. Drive ambiguous cross-team initiatives from problem definition through measurable outcomes, connect technical decisions to customer and business priorities, establish engineering standards and tooling, influence teams without formal authority, and coach engineers into greater ownership. The role contributes to technical direction for fintech products and improves reliability, security, maintainability, delivery, and operational effectiveness across Engineering.

Build and own full-stack banking product features from design through deployment and monitoring. Manage production systems, infrastructure, scalability, reliability, and performance. Collaborate with Product, Design, and engineering teams, mentor junior engineers, improve code quality and development processes, and influence technical direction. The role uses TypeScript, React, Node.js, AWS, Terraform, and related cloud and development tools.

Build and deploy secure, reusable LLM infrastructure across its lifecycle; lead emerging-technology research and proof-of-concepts; enable engineering teams with AI tooling and guidance; advise product teams on technical decisions; and improve code quality, performance, processes, and long-term technical strategy.

Lead backend and AI orchestration systems for CoCounsel Audit: design and operate scalable, low-latency AI workflows, integrate LLMs and retrieval systems, mentor engineers, set platform strategy, and ensure reliability, observability, and auditability at production scale.

Build and maintain large-scale automated testing frameworks, libraries, infrastructure, and test suites for enterprise SaaS applications, APIs, services, and distributed systems. Integrate automation with CI/CD pipelines, leverage AI coding tools, troubleshoot application and production issues, analyze codebases, and expand test coverage. Collaborate with engineering, DevOps, product, and QA teams to improve reliability, observability, performance, and maintainability.

Leads the design and development of a highly distributed edge computing platform using Go, Kubernetes, microservices, and cloud technologies. Responsibilities include building scalable and fault-tolerant systems, designing APIs, conducting code reviews, troubleshooting complex distributed software issues, optimizing performance and security, collaborating cross-functionally, mentoring engineers, planning projects, and maintaining technical documentation.

Develop and support a cloud-native workload credentials management solution within a SaaS platform. Responsibilities include designing scalable full-stack services, orchestration, APIs, distributed systems, and microservices; providing technical leadership; leading projects through delivery; collaborating cross-functionally; mentoring engineers; and applying engineering best practices. The role requires extensive Go development, cloud and SaaS expertise, modern JavaScript frameworks, and experience operating enterprise systems at scale.

Build and operate Resend’s scalable AWS platform, infrastructure, tooling, and self-service workflows. Responsibilities include infrastructure as code, platform standards, observability, reliability improvements, incident response, automation, and collaboration with engineers across the company. The role requires expertise in distributed systems, cloud infrastructure, networking, delivery pipelines, and production operations, with opportunities to work on high-throughput systems and developer tooling.

Conduct autonomous hardware and software penetration tests of IoT, embedded, ICS/OT, and automotive systems. Extract and analyze firmware, reverse engineer binaries, assess wireless, vehicle, industrial, network, cloud, and mobile attack surfaces, and review source code and SBOMs. Produce CVSS-rated reports with remediation guidance and VEX justifications, support customer briefings, and contribute to security tooling, research, methodologies, and platform improvements.

Conduct autonomous hardware and software penetration tests of IoT, embedded, ICS/OT, and automotive systems. Extract and analyze firmware, assess wireless, vehicle, industrial, network, cloud, and mobile attack surfaces, review source code and SBOMs, identify and validate vulnerabilities, and produce customer-facing reports with CVSS ratings, VEX justifications, and remediation guidance. Support scoping, debriefs, peer reviews, methodology improvements, tooling, research, and platform enhancements.

Conduct autonomous hardware and software penetration tests of IoT, embedded, ICS/OT, and automotive systems. Extract and reverse-engineer firmware, assess wireless, vehicle, industrial, network, cloud, and mobile attack surfaces, review source code and software components, and identify exploitable vulnerabilities. Produce CVSS-scored reports with remediation guidance and VEX justifications, lead customer debriefs, peer-review deliverables, and contribute to security tooling, research, and platform improvements.

Designs and delivers end-to-end automation solutions for Lilly’s global Finance organization. Responsibilities include assessing opportunities, developing and testing software, creating architecture and test documentation, supporting UAT and integrations, troubleshooting production issues, resolving defects, and assisting with QA, audits, migrations, and risk mitigation. The role uses Python, PySpark, TypeScript, PostgreSQL, AWS, Microsoft Fabric, SAP, and other APIs, while collaborating with finance, technology, analyst, and business teams.

Design, build, and operate distributed platform services and APIs using TypeScript and Go. Improve scalability, reliability, observability, and cost efficiency; develop data-intensive workflows and event-driven pipelines; manage SLIs/SLOs, incident response, CI/CD, and production releases. Partner with product teams on end-to-end delivery, write design documents and tests, and participate in on-call rotations for large-scale systems.

Designs, automates, and operates self-hosted Linux and Kubernetes infrastructure across global bare-metal environments. Responsibilities include maintaining high availability, managing control planes and container platforms, troubleshooting system-level incidents, conducting root-cause analysis, building automation and self-service tools, improving observability, and supporting production systems through on-call rotation. The role also collaborates with distributed engineering teams on infrastructure standardization and may support AI/ML workloads.

Provide technical support to eCommerce and enterprise customers through chat, email, and video calls. Diagnose issues using logs, system files, remote access, and operating system expertise; recreate and track software defects; document resolutions; meet service levels; collaborate across teams; and participate in an on-call rotation for critical incidents.

Develop and maintain full-stack applications, backend services, APIs, integrations, and internal tools while managing AWS cloud infrastructure, CI/CD, containers, databases, observability, and automation. The role requires production troubleshooting, security and reliability improvements, developer workflow enhancements, and collaboration across Product, QA, DevOps, Customer Support, and Development teams. The developer will use Python, JavaScript/TypeScript, Go, React, AWS, Docker, Kubernetes, infrastructure as code, and modern monitoring tools to deliver scalable cloud-platform solutions.

Own production reliability and infrastructure operations for the GrayKey cloud platform. Responsibilities include AWS monitoring, incident response, vulnerability remediation, networking, IAM and Okta administration, EKS and Argo CD operations, backups, recovery testing, Terraform changes, cost optimization, automation, documentation, and compliance support. The role requires independent work during Pacific and Mountain time-zone hours and involves less than 5% travel.

Leads and scales Scribd’s Analytics Engineering organization, building high-performing teams and governed data foundations for AI-driven decision-making. Oversees canonical data models, semantic layers, quality, observability, documentation, security, lineage, and platform standards. Partners with engineering and business leaders to guide architecture, prioritize investments, and deliver reliable data products with measurable impact. Requires strong technical judgment, advanced SQL, modern data stack experience, cross-functional leadership, and 10+ years of relevant experience.

Design, build, deploy, and optimize high-performance distributed data platform services supporting analytics and machine learning. Responsibilities include developing scalable streaming infrastructure, participating in design and code reviews, tuning performance, debugging production issues, collaborating cross-functionally, and mentoring engineers. The role requires expertise in distributed computing, messaging, data processing, cloud technologies, software engineering principles, and reliability practices.

Owns enterprise sales and net-new logo acquisition across Canada’s non-financial-services markets. Builds a $30M+ commercial portfolio, develops executive relationships, leads technical pursuits and complex technology-services deals, and advises C-suite clients on cloud, data, AI, and digital transformation. The role also manages hyperscaler co-sell partnerships, develops go-to-market strategies, and strengthens market presence through industry events and thought leadership.

Owns production machine learning systems and automated decisioning, including graph-based models, RAG systems, real-time serving, monitoring, evaluation, drift detection, and retraining. The role establishes ML engineering and MLOps standards, shapes platform strategy, mentors scientists, and partners with senior leaders. Responsibilities include developing SignalGraph, improving LLM evaluation, applying modern deep learning methods, and communicating technical decisions and uncertainty to cross-functional stakeholders.

Leads hands-on development of pay-related SaaS features for contingent workforce management, including jobs, worker provisioning, contracts, and integrations. Designs scalable, resilient services and contributes to architecture decisions using Python, React, and AWS. Builds and maintains RESTful APIs, relational database solutions, and high-quality tested code while mentoring engineers and communicating complex technical concepts. Works effectively with ambiguous requirements in an Agile/Scrum environment.

Designs secure, resilient, scalable end-to-end technology solutions for a 24/7 payments environment. Creates architecture artifacts, applies enterprise standards, manages technical risk and complexity, and guides engineering teams through delivery and production readiness. Partners with Product, Engineering, Platform, Security, Data, Cloud, and Operations teams while ensuring regulatory compliance, operational excellence, and effective architecture governance.