Top AWS Jobs in Toronto

Supports high availability, administration, monitoring, and performance of Azure, AWS, VMware, Windows, and RHEL environments. Manages patching, backups, disaster recovery, documentation, troubleshooting, vendor escalations, and root-cause analysis. Coordinates information security, ISO program activities, audits, vulnerability remediation, and risk assessments for corporate technology systems. Requires strong infrastructure administration, analytical, communication, and problem-solving skills in a controlled IT environment.

Build scalable end-to-end Generative AI applications using Java, Python, microservices, Angular, and React. Develop backend APIs, distributed workflows, ML model integrations, responsive enterprise interfaces, and cloud-native deployments. Own testing, CI/CD, containerization, performance, security, and fault tolerance. Collaborate with UX, product, ML, and cross-functional teams while mentoring junior developers and driving engineering best practices.

Develop and deliver maintainable, testable, and performant full-stack web applications using Java and Spring Boot. Responsibilities include software development, code reviews, testing, technology research, and team collaboration. The role requires strong backend Java expertise, frontend framework experience, web application architecture knowledge, database fluency, and effective communication. Cloud, GraphQL, Terraform, CI/CD, and Adobe Experience Manager experience are advantageous.

Designs, configures, develops, and implements enterprise SaaS solutions for banking and financial-services clients. Translates business requirements into technical designs, builds APIs, integrations, workflows, data-processing components, and backend/frontend solutions, and supports testing, deployment, troubleshooting, and production readiness. Leads technical workstreams, workshops, and client discussions; manages risks and dependencies; reviews deliverables; and mentors development team members.

Lead enterprise-wide QA architecture and testing strategy, with emphasis on ERP-to-ERP migrations. Design automated functional, integration, performance, security, data validation, and regression testing solutions; coordinate test execution, defect triage, reporting, and issue resolution. Drive Azure DevOps and CI/CD-integrated testing, mentor QA engineers, evaluate tools, and ensure system reliability, scalability, data integrity, and business-process continuity.

Design, develop and maintain security automation using Splunk SOAR (Python) and Ansible (YAML). Triage and remediate automation errors, implement security controls, support enterprise deployments, join 24x7 on-call incident response, create documentation, and transition projects to BAU with stakeholder collaboration.

Lead and mentor up to eight software engineers while managing technical projects from concept through launch. Define technical direction, architect and implement application features, improve React and API functionality, integrate large language models, maintain AWS infrastructure, review code, and improve reliability. The role also involves hiring, performance management, stakeholder collaboration, documentation, engineering processes, and resolving customer pain points.

Leads enterprise architecture strategy for AI, data platforms, analytics, and governance. Designs scalable lakehouse, AI/ML, streaming, integration, BI, and data governance solutions using cloud technologies. Establishes architecture standards, leads reviews and transformation initiatives, guides build-versus-buy decisions, and ensures security and compliance alignment. Partners with executives and cross-functional technology teams, mentors architects, and drives standardization, innovation, performance, and solution quality across AI and data ecosystems.

Manages and improves the resilience, performance, availability, and security of critical payment applications and infrastructure. Responsibilities include AWS application operations, containerized workloads, releases, monitoring, automation, CI/CD support, incident response, root cause analysis, vulnerability remediation, performance tuning, documentation, and rotating 24/7 on-call support. The role also drives self-healing, auto-scaling, observability, rollback planning, and continuous improvement across cloud and hybrid environments.

Own end-to-end software development and delivery while leading a distributed engineering team. Responsibilities include architecture, coding, code reviews, deployment, DevOps, production reliability, security, performance, incident response, and mentoring. The manager partners with Product and Design, drives technical and product improvements, uses AI tools to enhance engineering productivity, and builds a culture of accountability, autonomy, and continuous improvement.

Build and optimize production-grade agentic AI systems for marketing and enterprise customer experience use cases. Responsibilities include agent orchestration, tool use, RAG, embeddings, guardrails, LLM evaluation, observability, performance optimization, and scalable Python services deployed on AWS. The role partners across product and engineering teams and requires hands-on experience with LLM agents, marketing data platforms, retrieval systems, and AI evaluation.

Build and operate full-stack product experiences using React, TypeScript, Node.js, GraphQL, PostgreSQL, and related technologies. Own projects from discovery through launch and iteration, design scalable systems, improve performance and reliability, use AI-native development tools, collaborate cross-functionally, participate in on-call, and mentor engineers. The role is based in the Haeundae, Busan office Tuesday through Friday, with remote work on Mondays.

Senior QA/Test Engineer responsible for testing Amazon Connect and contact center technologies, including contact flows, routing, IVR, AI agents, web applications, APIs, and serverless AWS backends. The role develops manual and automated test suites, validates migrations and production cutovers, verifies monitoring and security controls, supports incident triage and UAT, partners with engineers on quality practices, and mentors junior QA engineers.

Build and maintain Safari AI’s cloud infrastructure, including production services, system design, reliability, documentation, and security compliance. The role sets technical direction for the cloud stack, collaborates with engineering and operations teams, improves development processes, and delivers incremental features. Candidates should have 4–6 years of software engineering experience, public cloud expertise, and experience taking complex services from concept through production. Streaming processing and machine learning experience are advantageous.

Leads global infrastructure and platform operations across cloud, networking, identity, endpoints, hosting, security, and IT service management. Establishes objectives, budgets, KPIs, governance, and operational improvements while managing complex migrations, modernization, resilience, compliance, suppliers, and cross-regional technical teams. Partners with senior leadership and stakeholders to address risks, deliver infrastructure projects, optimize costs, and ensure reliable, secure, supportable services.

Build, launch, and maintain gameplay features for Driving Empire on Roblox. Responsibilities include writing performant Roblox Lua code, designing scalable systems, translating product requirements into technical tasks, collaborating with designers and artists, monitoring live features, improving reliability and workflows, participating in code reviews, and playtesting to improve player experience.

Owns end-to-end data infrastructure, including secure data lakes, streaming applications, data warehouse systems, replication and change data capture pipelines. Responsibilities include architecture, deployment, maintenance, performance optimization, security controls, documentation, operational runbooks, and cross-functional partnership with analytics and product teams. The role requires strategic data infrastructure thinking and production experience in SaaS or data-heavy environments.

The Senior Services Consultant leads technical delivery for customers, ensuring technically sound solutions. Responsibilities include design documentation, configuring services on AWS, and training clients.

Staff Software Engineer responsible for setting technical direction, leading complex initiatives, partnering with product and design, mentoring engineers, and owning reliability, performance, observability, and on-call operations. The role spans backend data models and asynchronous processing through frontend design systems and visualizations. Required experience includes 10+ years of full-stack software development, Ruby, PostgreSQL, React, TypeScript, scalable relational systems, and AI-assisted development practices.

Build and improve MongoDB’s distributed networking and observability systems. Responsibilities include enhancing networking performance, availability, scalability, resource efficiency, and low-overhead observability; leading medium-sized projects from technical design through delivery; collaborating across the project lifecycle; contributing production C++ code; and participating in code reviews and feature design.

Build and operate reliable backend services for a developer-focused email platform. Responsibilities include owning features end-to-end, designing APIs and relational data models, scaling databases, building distributed systems with queues and background workers, managing AWS infrastructure, improving observability and deployments, participating in on-call, and partnering with customers and support to improve the product.

The Backend Engineer will build and maintain Resend's email transport infrastructure, focusing on SMTP delivery, routing, and system design for high-volume email sending. They will ensure the reliability and observability of the systems while participating in incident response.

Lead the architecture and evolution of scalable ETL and data-processing systems for customer product catalogs. Design reliable distributed systems, improve throughput and latency, strengthen fault tolerance and observability, and guide technical direction across teams. Mentor senior engineers, conduct architecture reviews, lead cross-functional initiatives, influence hiring and onboarding, and help shape the engineering organization’s long-term technical vision.

Lead architecture and development of secure, high-scale Python and FastAPI payment infrastructure for AI-agent transactions. Design APIs for tokenization, mandates, authentication, attestation, and cryptogram workflows; own security, reliability, observability, testing, Kubernetes provisioning, and production operations. Drive technical initiatives, design reviews, and cross-functional collaboration with product, security, infrastructure, platform, and card-network partners while applying AI-assisted engineering practices.

Build and deploy production-scale LLM and ML systems: own end-to-end lifecycle, optimize GPU/Kubernetes deployments, implement production APIs, monitoring, CI/CD, collaborate with product, and set AI engineering best practices.