Top AWS Jobs in Toronto

Shape the architecture and evolution of Java-based SaaS platforms and shared backend services. Lead complex distributed-systems initiatives across multiple teams, remain hands-on with implementation and troubleshooting, and improve scalability, reliability, observability, security, and operational readiness. Establish engineering standards for Java development, APIs, testing, CI/CD, and production operations while mentoring senior and staff engineers and partnering with Product, Security, and Architecture leaders.

Build and ship full-stack features for a real-time collaborative content platform, spanning backend services, APIs, and frontend systems. Contribute to architecture and technical design, write tested and maintainable code, collaborate with product and design, integrate AI tools and capabilities, participate in code reviews, and help shape an early-stage product.

Lead security across applications, services, infrastructure, and developer workflows. Identify, assess, and mitigate risks; run secure code reviews, threat modeling, and architecture discussions; build automation and tooling to prevent issues; harden authentication and access control; investigate incidents and manage disclosures; partner with engineering teams to design secure-by-default APIs and deployments.

Leads a software development team responsible for building and maintaining medical imaging solutions. Oversees technical execution, product feature delivery, code quality, testing, compliance, deployment, monitoring, incident management, and architectural decisions. Partners with product management, quality assurance, support, and engineering teams to deliver secure, reliable healthcare software. Coaches employees, supports career development, establishes AI-assisted development governance, and drives continuous improvement across development practices and tools.

Leads and develops a software engineering team responsible for medical imaging solutions. Oversees technical execution, architecture, code quality, testing, delivery, regulatory compliance, production reliability, and incident response. Partners with Product Management, QA, Support, and R&D teams to deliver healthcare software capabilities. Coaches engineers, improves development practices, establishes AI-assisted development guardrails, and contributes to technical strategy and innovation.

Designs, builds, and evaluates language models for AI security products. Responsibilities include dataset curation, preprocessing, LLM experimentation, safety and robustness evaluation, dashboards, knowledge graphs, model fine-tuning, production integration, monitoring, CI/CD, and ML tooling. Collaborates with researchers and data scientists to automate quality assurance and guardrails while delivering reliable, scalable, and interpretable models.

Build and maintain consumer-facing full-stack products, with a primary focus on React-based frontend development and a secondary focus on backend services. Develop reusable UI components, APIs, microservice integrations, and cloud infrastructure using technologies including JavaScript, Node.js, Golang, GCP, GraphQL, PostgreSQL, Spanner, and BigQuery. Collaborate with product and design teams, uphold architecture and code quality standards, deploy solutions through CI/CD, and mentor other engineers.

Build turbopuffer’s partner program from scratch, including partner strategy, cloud-provider relationships, marketplace listings, integrations, co-selling motions, joint accounts, and revenue generation. Negotiate alliance deals, engage systems integrators, translate partner needs to engineering, and develop repeatable marketplace and sales processes. The role requires technical fluency, independent execution, strong writing, and experience building trust across organizations.

Manage cloud and IT projects from planning through delivery using Agile methodologies. Responsibilities include developing project plans, managing scope, schedules, budgets, risks, issues, backlogs, and client communications. The role requires facilitating customer discussions, maintaining project reporting and compliance, driving business outcomes, and supporting cross-functional initiatives while building strong client relationships.

Leads platform engineering architecture for scalable, secure, highly available AWS solutions. Designs pipeline infrastructure and integrations across RPA processes, ERP and third-party applications, internal services, and downstream systems. Defines API, IAM governance, networking, infrastructure-as-code, CI/CD, DevSecOps, monitoring, observability, disaster recovery, and integration architectures. Provides technical leadership, stakeholder management, documentation, architecture reviews, mentoring, and engineering best practices in a remote Canadian environment.

Architect and build AI-enabled cloud infrastructure for agentic AI platforms, primarily on AWS with Azure as a secondary platform. Responsibilities include cloud account and environment design, SDN micro-segmentation to isolate rogue agents, centralized policy and control planes governing agent access and actions, and Infrastructure-as-Code automation using OpenTofu, Terramate, Ansible, and GitHub Actions.

Lead architecture and technical direction across product and platform teams. Design scalable, reliable cloud systems, establish engineering standards, solve complex modernization and distributed-systems challenges, support FedRAMP readiness, and mentor engineers. Guide multi-region deployments, disaster recovery, observability, data migrations, performance tuning, and production incident resolution while influencing roadmaps and driving cross-team execution.

Build and launch reliable, scalable pricing and rider-engagement systems for Lyft’s marketplace. Responsibilities include leading projects and features, developing tested backend code in Python or Go on AWS, solving distributed systems and concurrency challenges, collaborating cross-functionally, participating in code reviews and on-call rotations, and promoting engineering best practices. The role may also involve real-time machine learning serving and experimentation systems.

Leads and develops a software engineering team building Autodesk’s post-purchase account, subscription, personalization, and experimentation platforms. Responsibilities include hiring, mentoring, roadmap and delivery management, technical direction, architecture and code reviews, cloud-native application development, CI/CD improvements, experimentation, AI-assisted engineering, and operational excellence. The role requires hands-on expertise with modern web technologies, AWS, databases, serverless systems, secure software practices, and cross-functional stakeholder collaboration.

Owns enterprise AI architecture across AWS, Azure, Microsoft 365, and SaaS platforms. Defines target-state architecture, standards, guardrails, and governance; aligns engineering teams and senior stakeholders; oversees AI platform capabilities, Microsoft AI surfaces, security, DevOps, data, responsible AI, and regulatory compliance. Evaluates emerging AI technologies, supports architecture governance, mentors senior architects and engineers, and ensures production systems generate model-risk and regulatory evidence.

Own quality engineering for high-throughput payment systems by architecting automated regression, performance, stress, and load testing. Build emulators for external payment systems, integrate quality gates into CI/CD pipelines, validate microservices, event-driven architectures, and databases, and use Prometheus and Grafana for observability. Apply AI-assisted testing, synthetic data generation, and edge-case analysis while mentoring engineers and preventing incidents through telemetry-driven testing and post-mortems.

Own quality engineering for high-throughput payment systems by designing automated regression suites, performance and load tests, quality gates, external-system emulators, observability-driven test environments, and AI-assisted testing workflows. Partner with feature teams and product leaders to improve reliability, scalability, security, and transactional accuracy. Mentor engineers, support incident prevention, and embed automated validation throughout the software development lifecycle.

Designs and operates scalable security logging infrastructure, data lakes, ingestion pipelines, and multi-tier storage for enterprise-scale observability. Responsibilities include architecting ELK and OpenSearch environments, optimizing ingestion and queries, implementing infrastructure as code, developing APIs and integrations, managing retention and costs, capacity planning, and supporting disaster recovery. The role partners with security leadership on platform strategy and mentors engineers while enabling analytics and detection engineering across cloud environments.

Build and operate Planet’s large-scale storage infrastructure, including object storage, metadata indexing, Elasticsearch search, event notification, and disaster recovery. Develop highly available backend services and APIs, monitor and tune production systems, respond to incidents, and improve performance. Advise engineers, lead technical projects, contribute to architectural roadmaps, participate in design reviews, and support engineering practices and documentation.

Develop and lead Java-based payment microservices and shared services. Shape technical requirements, maintain roadmaps, write and review quality code, troubleshoot production issues, and support testing and deployments. Collaborate with technology and business stakeholders, ensure scalable and secure solutions, follow enterprise delivery standards, and lead other developers. The role requires expertise in Java, Spring Boot, DevOps, Kafka, APIs, databases, CI/CD, cloud platforms, and software architecture.

Leads the architecture, development, optimization, and operation of large-scale batch and real-time data platforms using Spark, Databricks, Kafka, and lakehouse technologies. Designs petabyte-scale pipelines, tunes Spark and SQL performance, manages governance and monitoring, establishes data-modeling and operational standards, and leads a global data engineering team. Advises stakeholders, mentors engineers, manages delivery risks and dependencies, and ensures production readiness, data quality, compliance, and support.

The Site Reliability Engineer will improve system reliability, performance, and scalability through incident response, postmortems, automation, SLO implementation, failure analysis, capacity planning, service reviews, architecture design, and on-call support. The role requires software engineering experience, production lifecycle ownership, troubleshooting, application architecture knowledge, and experience with large-scale platforms. Preferred skills include monitoring with OpenTelemetry and Prometheus, scripting, SRE experience, networking, and cloud platforms such as AWS, GCP, or Azure.

Leads and mentors data engineering teams while designing, deploying, and operating scalable data pipelines and platforms supporting analytics, AI/ML, and commercial use cases. Provides architectural leadership across cloud-native platforms, distributed processing, orchestration, data integration, and streaming architectures. Manages delivery priorities, stakeholder requirements, operational excellence, incident response, standards, and continuous improvement across enterprise data engineering initiatives.

Support C# and .NET applications hosted on AWS by troubleshooting production issues, delivering enhancements, managing CI/CD pipelines with GitHub Actions, overseeing deployments, renewing SSL/TLS certificates, maintaining operational stability, and implementing cloud cost-optimization initiatives.

Design, build, deploy, and maintain scalable features for GoodTime’s hiring intelligence platform. Investigate customer-reported bugs, improve performance and stability, collaborate with Product and Design, contribute to the technical roadmap, demonstrate new functionality, and own projects from concept through release. The role emphasizes JavaScript/TypeScript, React, customer-centric architecture, test-driven development, and continuous learning.