Top AWS Jobs in Toronto

Build REST APIs, customer-facing React components, backend monitoring, CI/CD pipelines, and content-management integrations. Collaborate with engineering, UX, and visual design teams while developing full-stack solutions using JavaScript or TypeScript, React, Node.js, server technologies, and cloud platforms. The role is fully remote but limited to candidates located in Canada within the PST or MT time zones.

Lead complex backend engineering projects from design through launch, solve architecture and high-risk technical problems, conduct code reviews, develop scalable microservices and distributed systems, mentor engineers, and collaborate across teams. The role requires strong experience with backend applications, prominent programming languages, public cloud platforms, databases, software architecture, agile development, and performance trade-offs. Candidates must be located in Canada within the PST or MT time zones.

Build and ship scalable backend features and services in a distributed environment. Responsibilities include developing RESTful microservices, reviewing code, monitoring service performance, improving reliability and security, participating in Agile development, and mentoring teammates. The role requires proficiency in a modern object-oriented language, database experience, cloud knowledge, and familiarity with scalable architecture patterns.

Lead full-stack software development across the lifecycle, owning architecture and technical design for fault-tolerant, cross-platform applications. Establish engineering standards, improve developer tools and frameworks, provide technical support, and mentor junior and intermediate engineers. Build front-end and back-end systems using modern programming languages, databases, and cloud services while collaborating with technical and business stakeholders.

Designs, builds, and operates scalable internal applications, backend services, APIs, integrations, and automated employee workflows. Owns solutions from architecture through deployment and support while improving reliability, observability, performance, and maintainability. Collaborates across engineering, product, design, security, and People Technology teams; provides technical leadership through architecture reviews, code reviews, mentoring, and roadmap contributions. The role also explores AI-powered capabilities to improve employee workflows and engineering productivity.

Lead incident response engagements, investigate intrusions and advanced threats, conduct host and network forensics, perform malware analysis, develop remediation plans, and communicate findings to customers, regulators, legal counsel, and executives. The role also involves threat hunting, team leadership, public thought leadership, and occasional travel.

Conduct manual penetration tests and secure code reviews across web applications, APIs, AWS infrastructure, and AI systems. Develop AI-assisted security tooling, test LLM applications and agentic systems, triage SAST findings, tune security rules, support test-to-production reviews, and communicate risks to engineering teams. The role also helps establish penetration-testing standards for AI-generated software and agent workflows.

Lead hands-on software development across the full SDLC, owning technical design, architecture, and development of fault-tolerant, cross-functional applications. Establish engineering standards, improve internal tools and developer experience, provide technical guidance, and mentor junior and intermediate engineers. Collaborate with technical and business stakeholders in an agile, cloud-based environment.

Design, develop, and deploy scalable LLM applications and pipelines using RAG, agentic workflows, and parameter-efficient fine-tuning. Own architecture, software development lifecycle, cloud infrastructure, governance, responsible AI guardrails, DevOps automation, testing, and deployment. Collaborate with cross-functional teams, translate business needs into technical requirements, conduct code reviews, and ensure reliable production systems using AWS, Azure, and Databricks.

Own the reliability, scalability, and evolution of Zapier’s database and caching infrastructure. Responsibilities include operating MySQL, PostgreSQL, Redis, and ElastiCache; managing infrastructure with Terraform; building observability, automation, SLOs, and golden paths; participating in on-call; supporting product teams; improving performance and resilience; leading design reviews; documenting practices; and mentoring engineers.

The QA Strategist shapes quality throughout the software lifecycle by clarifying requirements, designing risk-based test scenarios, leading exploratory and regression testing, investigating defects, and building lightweight QA tools. The role also evaluates LLM-backed systems, analyzes production metrics and large datasets, coaches developers, and addresses systemic quality issues across engineering. Collaboration spans Product, Engineering, Legal Research, and Customer teams.

Principal Full Stack Software Engineer responsible for guiding technical direction, designing large-scale SaaS features, and building secure, reliable distributed systems. The role involves collaborating across product, design, and engineering; evaluating technical trade-offs; debugging team inefficiencies; contributing to code reviews and complex fixes; mentoring engineers; and improving engineering practices around testing, performance, security, privacy, and service operations.

Lead architecture, development, and operation of Okta’s Integration Network platform. Design APIs, data models, security controls, distributed systems, and partner-facing integration frameworks. Own complex technical initiatives, modernize large production systems, drive cross-team decisions, improve observability and reliability, remediate vulnerabilities, and mentor engineers. Apply AI-assisted development practices while maintaining high standards for testing, code quality, backward compatibility, and customer-impacting system performance.

Own quality across data pipelines, platforms, and applications. Design data testing strategies, build automated dbt and Python quality checks, maintain unit through end-to-end test suites, validate Airflow or Dagster workflows, and integrate tests into CI/CD. Perform exploratory testing, enforce data contracts and schema validation, monitor quality dashboards, support incident root-cause analysis, and collaborate with engineering, product, analytics, and project teams on acceptance criteria and quality gates.

Own the architecture and technical direction of the shared platform layer across cloud infrastructure, identity, integrations, shared services, and enterprise systems. Establish technical standards, cloud architecture patterns, IAM strategy, resilience, and compliance alignment. Identify and prioritize architectural risks, advise AI initiatives, and participate in architecture governance. The role requires influencing senior technical and executive stakeholders across teams, with hands-on experience in AWS, Azure, infrastructure as code, and enterprise identity architecture.

Lead development of Citi’s high-performance distributed calculation platform, processing hundreds of millions of daily risk and suitability calculations. Responsibilities include designing Java software, solving distributed computing challenges, improving CI/CD and testing, building customer-facing REST APIs, supporting cloud-native infrastructure, mentoring engineers, and optimizing large-scale workloads with customers. The role operates in a hybrid model with three office days and two remote days weekly.

Build and productionize customer-facing machine learning and AI features for product matching, classification, and attribute extraction. Train and evaluate classical ML, embedding, and LLM models; develop RAG and retrieval systems on AWS; and own deployment, monitoring, retraining, and experimentation. Establish evaluation frameworks, monitor drift, quality, latency, and cost, and optimize high-volume inference. Collaborate rapidly to turn customer problems into reliable, cost-effective ML systems.

Qualify partner-referred enterprise leads, conduct discovery with financial services and life sciences buyers, scope AI consulting engagements with architects, negotiate proposals and SOWs, and close deals. The role manages the full sales cycle, maintains CRM and forecasts, coordinates with Anthropic and AWS partner representatives, communicates market insights, and requires up to 30% travel.

Lead development of Citi’s distributed calculation platform, building high-performance Java software that processes hundreds of millions of daily calculations. Responsibilities include designing platform features, solving distributed computing challenges, improving CI/CD and testing, developing customer APIs, mentoring engineers, and optimizing cloud-based microservice workloads. The role requires expertise in Java, distributed systems, DevOps, cloud platforms, containerization, REST APIs, automated testing, and Agile development.

Plans and executes manual and automated testing for large-scale enterprise systems, including functional, integration, regression, UAT, performance, accessibility, security, data validation, and migration testing. Develops test strategies, plans, scripts, cases, and reports; manages defects; maintains automation and CI/CD integration; validates databases and system behavior; and collaborates with Agile delivery teams and stakeholders to ensure quality and compliance.

Leads end-to-end technical delivery for enterprise cloud platform changes supporting B2B partner integrations. Coordinates development, testing, release, deployment, and production readiness across multiple teams. Reviews technical designs, manages risks, leads issue triage, communicates progress to leadership, and improves delivery practices. The role provides hands-on technical leadership across AWS, APIs, event-driven architecture, and enterprise integration while managing people and ensuring alignment with technology standards.

Lead Ashby’s Platform and Infrastructure organization, owning performance, reliability, infrastructure strategy, roadmap, incident management, vendor relationships, and team growth. Hire and manage engineers and managers, improve collaboration with Product Engineering, oversee monitoring and uptime practices, negotiate infrastructure costs, and potentially build a Developer Experience function. The role requires hands-on technical engagement, strong cross-functional communication, and leadership across teams in the Americas and Europe.

Develop and maintain automated test frameworks using Python, PyTest, and Selenium. Execute end-to-end, API, web interface, microservices, functional, and performance testing across the SDLC. Manage test environments and data, improve automation coverage, support manual QA and production triage, and promote quality practices within an Agile/Scrum team. Collaborate with product owners, developers, business analysts, and Scrum Masters to translate requirements into comprehensive test cases.

Design, develop, and maintain scalable full-stack web applications using React, Node.js, JavaScript, and Python. Build RESTful APIs, WebSockets, microservices, database solutions, and secure digital interfaces. Optimize performance, conduct code reviews, write tests, and deploy containerized applications on AWS using Docker and CI/CD pipelines. Collaborate within Agile Scrum teams with Product Owners, Business Analysts, and Engineers.

Design, develop, test, and maintain full-stack digital platforms using Python, Django, Angular, PostgreSQL, AWS, REST APIs, and microservices. Build CMS capabilities with Wagtail, integrate databases and messaging systems, and contribute to CI/CD, automated testing, code reviews, and cloud deployment. Collaborate with product, architecture, business analysis, and engineering teams to translate evolving financial-services requirements into scalable, maintainable solutions.