Top AWS Jobs in Toronto

Develop and maintain scalable full-stack software, microservices, and cloud-native applications that improve enterprise research workflows and data analysis. Translate requirements into performant, tested code; contribute to technical decisions, architecture, documentation, and engineering standards. Collaborate with product managers, scientists, and engineering teams while participating in code reviews, mentoring, and knowledge sharing. The role requires JavaScript or TypeScript with Node.js, React, cloud platforms, infrastructure as code, API design, cloud security, CI/CD, and DevOps experience.

Lead and execute penetration tests across networks, applications, APIs, and cloud environments. Conduct red team, purple team, social engineering, and detection capability assessments. Identify vulnerabilities and misconfigurations, develop exploits and scripts, document risk-rated findings, and provide remediation guidance. Mentor junior consultants, contribute to security methodologies, and communicate findings effectively with clients and stakeholders.

Leads complex application solution design and development across technologies and platforms. Translates business requirements into scalable system designs, infrastructure, interfaces, and integrations; contributes to technology roadmaps; drives design reviews; makes technology selections; and mentors junior designers and developers. Requires extensive experience with databases, cloud platforms, ETL, source control, issue management, and application implementation and support.

Develop and optimize high-performance .NET Core/C# backend microservices within a large distributed system. Responsibilities include PostgreSQL optimization, service communication, observability, distributed tracing, CI/CD integration, deployment reliability, resilience patterns, performance profiling, architecture reviews, and production troubleshooting. The role collaborates with DevOps, QA, and frontend teams and may involve Kubernetes, service mesh, asynchronous messaging, event-driven architecture, and cloud infrastructure.

Build and operate end-to-end full-stack features for Loom billing, subscriptions, integrations, and platform migrations. Develop responsive React interfaces, scalable backend APIs and microservices, payment and identity integrations, and reliable cloud-based systems. Responsibilities include observability, monitoring, testing, code reviews, documentation, security, performance optimization, and participation in Agile ceremonies and technical design reviews.

Leads the technical strategy, architecture, and delivery of bespoke production AI solutions for legal customers. The role designs RAG pipelines, multi-agent systems, event-driven backends, and secure integrations; establishes MLOps, observability, evaluation, and AI quality standards; and owns complex, high-risk engagements. It also involves executive and client engagement, mentoring senior engineers, influencing product roadmaps, and driving AI-native engineering practices across teams.

Design, build, and operate scalable real-time and batch data pipelines using Kafka, Spark, Flink, Airflow, Databricks, AWS, and dbt. Improve data quality, observability, reliability, and performance while developing cloud-native data solutions. Own initiatives through architecture, implementation, testing, deployment, monitoring, and production support. Collaborate with Data Science, Product, Analytics, and Engineering teams to deliver reliable datasets and personalized marketplace experiences.

Lead enterprise solution architecture for AI-powered customer experience platforms. Own voice, networking, VDI, AWS, API, integration, RAG, and agentic AI architectures while guiding technical discovery, demonstrations, pilots, and value assessments. Partner with customers, sales, Product Management, Engineering, and Professional Services to deliver secure, scalable, resilient solutions. Influence product direction and enable solution consultants, partners, and account teams through reusable blueprints, training, workshops, and technical support.

Designs, develops, deploys, and maintains production-grade applications, APIs, integrations, automation workflows, and AI-enabled solutions. Partners with business and technology stakeholders to translate operational challenges into scalable technology solutions, owning work from discovery and prototyping through implementation and optimization. Responsibilities include cloud integration, secure software development, testing, CI/CD, troubleshooting, stakeholder collaboration, and evaluating emerging technologies.

Deploys, manages, and optimizes Azure-based SaaS infrastructure and applications. Responsibilities include AKS and Kubernetes operations, CI/CD automation, Terraform-based infrastructure management, monitoring, cloud security, networking, incident response, disaster recovery, maintenance, and reliability improvements. The role supports production environments, databases, application servers, and ITSM processes while collaborating across Engineering, DevOps, and Operations teams. It includes on-call, customer-facing troubleshooting, documentation, stakeholder communication, and operational support across multiple time zones.

Owns test strategy, automation, and release quality for Okta Identity Security systems, including real-time detection pipelines, risk signal correlation, integrations, and distributed data platforms. Responsibilities include API, end-to-end, reliability, scale, and attack simulation testing; defect triage; code and design reviews; regression coverage; production support; release sign-off; and on-call response.

Leads release and deployment strategy for TD’s Credit Platform, overseeing complex multi-system releases, production cutovers, readiness governance, risk decisions, incident follow-up, automation, and operational stabilization. Manages cross-functional stakeholders, vendors, budgets, and a release management team while improving CI/CD, deployment reliability, audit readiness, and executive communication across regulated banking technology environments.

Administer and support Linux-based studio infrastructure, including servers, render systems, enterprise storage, virtualization, networks, cloud resources, tape libraries, and identity systems. Monitor performance, resolve escalated infrastructure issues, apply patches and security hardening, support production technology deployments, automate routine tasks, participate in upgrades and migrations, and maintain technical documentation. Collaborate with engineering, operations, production, security, and studio teams while participating in after-hours maintenance and incident response.

Lead and grow a distributed engineering team responsible for KaseyaOne identity services. Modernize monolithic identity capabilities into scalable services, guide authentication and authorization architecture, and oversee cloud-based backend operations. Drive reliability, security, observability, incident response, migration, deployment, and engineering quality improvements across authentication, federated identity, token management, API access, and multi-tenant authorization.

Designs, supports, and modernizes enterprise telephony and cloud contact centre platforms using Microsoft Teams Telephony, Amazon Connect, and AWS. Develops technical designs, supports cloud infrastructure, contributes to DevOps and CI/CD automation, improves reliability, and explores AI-enabled solutions. Partners with stakeholders, participates in incident and change management, documents operational procedures, and mentors operations teams within a regulated financial services environment.

Develop and maintain production-quality software that integrates validated AI models into regulated medical device products. Responsibilities include building interfaces and services, creating automated tests, supporting verification and validation, maintaining requirements traceability, developing reproducible ML pipelines, managing containerized environments, and collaborating with AI, systems, quality, and regulatory teams to deliver reliable medical imaging software.

Lead North American software engineering teams supporting retirement technology products. Responsibilities include hiring and developing engineers, establishing architecture and engineering standards, improving software delivery and operations, guiding AI-native engineering practices, and executing initiatives across multiple applications and teams. The role partners with Product Management on roadmaps, manages dependencies, removes blockers, and promotes quality, security, compliance, accessibility, ownership, and continuous improvement.

Develops and supports DTMF and conversational IVR voice bots using Cisco CVP technologies. Responsibilities include Java development, backend integrations, systems analysis, design, testing, production support, troubleshooting, code reviews, effort estimation, and collaboration with business and technology partners. The role leads complex application development and 24/7 support while ensuring reusable, high-quality solutions aligned with enterprise architecture and business requirements.

Secure Zapier’s production infrastructure by identifying and mitigating risks, hardening cloud environments, improving Terraform and CI/CD security, managing vulnerability and misconfiguration tools, enforcing least-privilege access, strengthening data governance, hardening Kubernetes images, and supporting incident response. The role collaborates with Platform, Engineering, and Security teams in a remote-first environment.

Lead backend engineering for capacity modeling systems that forecast traffic, resource needs, and infrastructure scaling. Own quarterly team goals, guide engineers through complex problems, collaborate with product and analytics stakeholders, improve code and design standards, monitor system availability, support on-call operations, and develop team talent. Build highly available distributed systems, tune autoscaling and compute performance, and deliver scalable features using Python or Kotlin, AWS, MySQL, and Kubernetes.

Build and maintain scalable ETL/ELT pipelines for complex client data integrations. Reverse-engineer source systems, develop transformation and reconciliation logic, and implement data quality and validation workflows. Contribute to AI-assisted, metadata-driven integration frameworks using Python, PySpark, SQL, and AWS-based processing environments. Collaborate with technical and business stakeholders, document architecture and business rules, support planning, and help establish scalable integration standards.

Develop and maintain a cloud-based, analytics-driven power infrastructure platform across the full software development lifecycle. Responsibilities include architecture, requirements analysis, full-stack application development, REST API work, code quality, testing, documentation, peer reviews, technical debt management, client implementation support, and mentoring junior developers. The role requires strong frontend and backend capabilities, collaboration, independent ownership, and interest in machine learning and multi-tenant systems.

Senior Database Administrator responsible for physical database design, administration, optimization, capacity planning, migrations, performance tuning, backup and recovery. The role manages Oracle, SQL Server, cloud, hybrid, and legacy databases; implements security controls, disaster recovery, version upgrades, data integration, automation, and enterprise architecture. Requires expertise in SQL, cloud platforms, scripting, data modeling, database security, high availability, and large-scale government applications.

Plans and executes manual, automated, functional, integration, regression, performance, stress, load, accessibility, security, and user acceptance testing for complex enterprise systems. Develops test strategies, plans, cases, scripts, data, and reports; tracks defects; validates databases and data migrations; integrates automation into CI/CD pipelines; and collaborates with developers, analysts, project managers, and security specialists in Agile environments.

Lead the design and implementation of deterministic and agentic security automation systems for Falcon Complete MDR. Build scalable services, data pipelines, integrations, and workflows that accelerate threat detection, investigation, triage, and response. Collaborate with analysts and engineering stakeholders, improve reliability and monitoring, participate in on-call rotations, mentor engineers, review designs and code, and establish technical standards for AI-powered security operations.