Top AWS Jobs in Toronto

Designs, develops, tests, and maintains cloud-based data pipelines and warehouses for large-scale datasets. The role involves data ingestion using Python and SQL, GCP services, production migrations, infrastructure troubleshooting, and optimization. The engineer collaborates with stakeholders to understand project goals and applies AI/LLM tools thoughtfully within data engineering workflows. Responsibilities also include distributed data manipulation, technical guidance, and maintaining scalable, cost-efficient data architecture.

Assess web, API, identity, AWS, and integration security controls for a bilingual nonprofit platform. Identify and report security and privacy risks, conduct threat modeling, scope and coordinate security testing, and verify remediation. Evaluate least-privilege access, encryption, secrets management, logging, consent, retention, data residency, and youth-data protections under Canadian privacy requirements. Collaborate with delivery teams and client stakeholders while documenting findings and recommendations. Canadian or U.S.-based contractors must work during Eastern Time business hours.

Design and build scalable data systems and pipelines, migrate legacy systems, ensure data governance, and collaborate with cross-functional teams to enhance data accessibility and reliability.

Designs, builds, and operates enterprise data lakes, warehouses, lakehouses, ETL/ELT pipelines, databases, and reporting platforms. Prepares governed, model-ready data for AI and machine learning, supports feature stores and embedding workflows, administers relational databases, optimizes queries and dashboards, and ensures data quality, security, availability, and disaster recovery. Collaborates with technical and business teams, reports to senior management, and mentors data engineers.

Manages the full lifecycle of enterprise legal applications, including administration, architecture, integrations, automation, upgrades, security, troubleshooting, and performance optimization. Partners with business stakeholders, vendors, and technical teams to implement solutions, oversee projects, maintain compliance, and support systems such as iManage, Intapp, records management platforms, and Microsoft environments. Develops integrations and data flows, manages security controls and ethical walls, conducts testing, maintains technical documentation, and delivers training.

Own the technical aspects of enterprise airline deals from qualification through deployment and expansion. Design integration and cloud architectures, lead demos and proofs of concept, respond to RFPs and security questionnaires, review technical contracts, and ensure customer commitments align with engineering capabilities. Build reusable technical assets, support adoption, and communicate customer requirements to product and engineering teams.

Lead design and delivery of cost-visibility and optimization tooling across cloud and AI infrastructure. Set technical strategy, build automation and monitoring, collaborate cross-functionally, ensure operational readiness, and mentor engineers to scale FinOps capabilities and self-service cost systems.

As a Senior Solutions Engineer, you will engage in pre-sales conversations, design architecture, and deliver demos to help customers integrate LanceDB's AI solutions.

Establishes and operates AWS development, test, and production environments for a bilingual digital platform. Responsibilities include infrastructure automation, secure access, CI/CD, monitoring, logging, backups, recovery testing, deployment rollback, performance optimization, cloud-cost management, secrets handling, operational runbooks, and knowledge transfer. The role requires collaborative technical delivery, clear documentation, and availability during standard Eastern Time business hours.

Design, develop, and maintain full-stack features for a cloud-native digital forensics SaaS platform using React, TypeScript, C#, and .NET. Build case management capabilities, APIs, automated tests, and scalable services. Collaborate with Product, UX, and Engineering teams, contribute to architecture and operational excellence, participate in code reviews, and mentor team members. Candidates must reside in Canada.

Architects and develops scalable Java and Spring Boot web applications, RESTful APIs, and database-backed systems. Leads software delivery, testing, code reviews, automation, troubleshooting, security remediation, telemetry, production incident response, and root-cause resolution. Collaborates with stakeholders and cross-functional teams while modernizing application stacks. The role also supports cloud-native architecture, CI/CD, container orchestration, and AI-augmented development.

Architects, develops, tests, and optimizes scalable Java-based web applications using Spring Boot microservices and modern frontend frameworks. Leads software delivery across the full lifecycle, including API design, technical specification refinement, automation, performance optimization, test-driven development, code reviews, and troubleshooting. Collaborates with internal teams and external partners to deliver maintainable solutions, improve engineering workflows, and uphold modern architecture and development standards. The role is remote in Canada and requires working Eastern Time hours.

Designs and owns solution and technical architecture across applications, integrations, automation, data, infrastructure, and AI-enabled solutions. Builds proofs of concept and reference implementations, collaborates with developers, reviews specifications and code, establishes API and integration patterns, and resolves complex technical issues. The role requires hands-on software engineering, ERP integration experience, cloud familiarity, and the ability to influence architecture across teams in a hybrid environment.

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.

Design, deploy, and maintain HPC and MLOps infrastructure across cloud and on-prem clusters. Manage schedulers (Slurm/PBS), optimize MPI/CUDA stacks, storage and networking, automate deployments with Python/Bash, instrument systems, and enable AI training/inference pipelines while collaborating with product and support teams.

Own application-layer risk identification and remediation across consumer products and APIs. Build and operate AppSec tooling, Harden auth/authorization and GraphQL security, run HackerOne and offensive testing, lead threat modeling and security reviews, and build AI agents to automate triage and remediation while embedding secure-by-default practices into engineering workflows.

Design, operate, and improve cloud security for a multi-account AWS environment and Kubernetes clusters. Build detection, prevention, and automated remediation workflows, drive zero-trust access, shift-left security in pipelines, integrate cloud security tooling, mentor engineers, and partner with infrastructure teams on identity, networking, and secrets management.

Lead architecture and delivery of AI coding agents, developer tools, CI/CD workflows, remote development environments, and testing sandboxes. Own production reliability, monitoring, SLAs, cost optimization, integrations, and end-to-end developer workflows. Establish engineering standards, shape the technical roadmap, collaborate across teams, evaluate AI coding vendors, and mentor engineers.

eBay is hiring ML Scientists to design state-of-the-art ranking, recommendation, personalization, and pricing models, and ML Engineers to productionize models by building ETL/ELT workflows, inference pipelines, MLOps infrastructure, deployment automation, monitoring, and cost/ performance optimization. Both roles contribute to feature engineering, model serving, observability, and maintaining production ML platform components like Zipline.

Design, build, test, and deploy full-stack applications using React/Next.js and Kotlin. Collaborate on architecture, contribute to component libraries, perform code reviews, mentor peers, troubleshoot production, and integrate AI-assisted tools and APIs.

Lead infrastructure and platform engineering across physical and virtual environments, including operating systems, OpenShift, cloud platforms, networking, monitoring, capacity, disaster recovery, security, and automation. The role defines architecture and operational standards, manages vendors, supports audits and complex troubleshooting, develops documentation, and mentors engineering staff while ensuring availability, resiliency, and compliance with service objectives.

Lead the technical design and delivery of banking features at Cash App, collaborating across teams, driving architecture improvements, and mentoring engineers.

Architect, build, and evolve a scalable Azure-focused cloud Platform-as-a-Product. Own Platform-as-Code, CI/CD pipelines, multi-tenant secure landing zones, and self-serve modules. Provide hands‑on engineering, cross‑team collaboration with security and networking, mentorship, and drive platform innovation and governance automation.

Lead full-stack engineering for card acquisition and onboarding across mobile, web, and backend. Define technical strategy, deliver quarterly goals, mentor engineers, ensure operational reliability (monitoring, on-call, CI/CD), collaborate with product/design/analytics, and drive quality, experimentation, and scalable backend systems.

The Staff Software Engineer will develop and execute technical strategies for Cash App Banking, lead architectural decisions, and mentor engineers, focusing on innovative financial solutions.