Top AWS Jobs in Toronto

Develop and maintain secure, scalable Java backend applications and integrations. Responsibilities include designing RESTful services, troubleshooting production issues, optimizing performance, conducting code reviews, applying secure coding practices, and ensuring system reliability and compliance. The role collaborates with frontend and business stakeholders, supports incident resolution and post-mortems, and mentors junior developers in an Agile environment.

Own architecture and operations for a large-scale multi-tenant SaaS platform across AWS and GCP. Responsibilities include managing Kubernetes clusters, Terraform infrastructure, CI/CD, observability, DevSecOps controls, databases, disaster recovery, and AI-powered platform tooling. The role partners with engineering teams on service design and production launches while establishing runbooks and technical standards.

Lead DevOps, SecOps, MLOps, and IT engineering teams while designing and implementing scalable multi-cloud microservice infrastructure. Oversee infrastructure automation, production reliability, monitoring, security, SOC 2 compliance, customer deployments, operational costs, and developer productivity. Manage DevOps initiatives and collaborate with stakeholders to align technical execution with business objectives.

Develops end-to-end computer vision and machine learning solutions for vehicle damage detection. Responsibilities include training robust models, building high-throughput containerized REST/gRPC model-serving microservices, managing the full ML lifecycle, optimizing real-time inference, collaborating with stakeholders, and maintaining Kafka-based streaming data pipelines. The role also involves annotation and evaluation frameworks, cloud backend engineering, and technical design leadership.

Senior software developer responsible for building and operating scalable backend services for a VIN Decoder platform. The role develops Python APIs, services, and workers using PostgreSQL, Redis, AWS, and GCP BigQuery; designs data models and optimized SQL; integrates third-party APIs; and drives reliability, observability, testing, incident response, and operational maturity. The developer also contributes to architecture, code reviews, documentation, Agile delivery, on-call support, and technical mentorship.

Designs and trains computer vision models for vehicle damage detection, builds high-throughput containerized model-serving microservices, and manages the end-to-end ML lifecycle. The role includes developing Kafka-based streaming data pipelines, optimizing models for real-time inference, maintaining annotation and evaluation frameworks, and collaborating with stakeholders to deliver scalable production solutions.

Partner with Account Executives throughout enterprise sales cycles in Canada. Lead technical discovery, tailored demonstrations, security discussions, technical evaluations, and proofs of concept. Configure customer environments and API integrations, develop ROI analyses and business cases, and collaborate with Product and Engineering to address customer needs and communicate feedback.

Lead end-to-end technical client engagements: discovery, architecture, prototyping, and delivery of AI-enabled solutions. Design system architectures and integrations, analyze client data sources, build proofs-of-concept, guide engineering teams, run workshops, and mentor junior developers and Fellows to deliver production-ready outputs.

Designs and operates reliable, highly available database platforms across AWS and GCP. Responsibilities include database architecture, performance optimization, replication, backups, disaster recovery, outage response, schema and query improvements, Kubernetes operations, infrastructure automation with Terraform and GitOps, and support for compliance and production environments.

Designs and maintains reliable data pipelines and computed tables using SparkSQL and PySpark. Integrates IoT, product, customer, external, unstructured, and ML-related data into scalable data models supporting analytics, causal inference, model training, and dashboards. The role requires ETL development, data orchestration, API integration, strong data quality and uptime, and collaboration with Data Science, AI/ML, Analytics, and engineering teams. This is a remote position for candidates residing in Canada.

Design and build agentic and retrieval-augmented generation systems, platform foundations, distributed services, evaluation tooling, and React product features. Develop primarily in TypeScript, use data-driven experimentation to improve releases, lead mission-critical initiatives, mentor developers, write automated tests, and improve engineering standards and system reliability.

Develop scalable full-stack AI software using Java, Spring, TypeScript, React, AWS, and machine learning technologies. Responsibilities include architecture, coding, code quality, governance, refactoring, deployment, DevOps, releases, live-app support, client collaboration, and technical leadership throughout the development lifecycle.

Leads and performs development, configuration, testing, release support, and production support for NICE Actimize AML platforms. Responsibilities include scenario and rule tuning, alert and case workflow management, troubleshooting in Linux and Oracle environments, migration support, SDLC compliance, stakeholder coordination, and team leadership. The role requires strong AML transaction-monitoring expertise, hands-on Actimize experience, and knowledge of banking systems, databases, scripting, and regulatory controls.

Owns the GitHub-based build and release environment, including CI/CD pipelines, runners, testing, packaging, and artifact publishing. Improves build speed, reliability, security, and release repeatability while managing cloud compute resources. Troubleshoots complex build, test, and infrastructure failures, monitors system health, and documents architecture and procedures. Collaborates with engineers to improve tooling and communicates build status, incidents, and changes clearly.

Lead architecture and delivery of scalable AI systems for P&C insurance, oversee fraud prevention platform from data to production, mentor AI engineers, collaborate with business stakeholders, prototype novel AI techniques (LLMs, GNNs, CV), and drive cloud deployments and responsible AI practices.

Lead global R&D to define technical strategy and roadmaps, prioritize AI-driven modernization, manage engineering and test teams, oversee AI/ML model validation in regulated clinical environments, own R&D budgeting and vendor partnerships, ensure regulatory compliance, and drive operational excellence and ethical AI adoption to improve clinical trial outcomes.

Design, architect, develop, and test web applications with a focus on .NET and cloud technologies while ensuring code quality and integration of systems.

Manages IT controls testing for the ICFR program and supports internal audit engagements. Responsibilities include evaluating IT and business controls, preparing audit workpapers and reports, identifying risks, developing remediation plans, communicating findings to senior management, monitoring corrective actions, and supporting the annual audit plan and special projects.

Lead technical delivery for client projects by designing, implementing, and scaling high-performance kdb+ architectures for billions of time-series data rows. Develop, test, support, and maintain client applications while collaborating with quants, traders, and analysts. Mentor developers, make technical decisions, and drive innovation across kdb+, q, and related technologies in capital markets environments.

Define enterprise architecture standards, reference designs, and roadmaps across applications, data, integration, infrastructure, and security. Lead modernization, data integration, acquisition onboarding, governance, and design reviews across distributed dental practices. Provide architectural oversight for AWS, Snowflake, Okta, NetSuite, Workday, Tableau, and related platforms while partnering with cybersecurity, business, clinical, and technology teams. Influence enterprise decisions, manage technical risk and debt, and establish scalable foundations for analytics, AI, and data products.

Lead and grow a large AI engineering team building next-generation legal research capabilities. Set technical direction, productionize generative AI and machine learning systems, modernize scalable backend and data-processing platforms, and establish standards for reliability, observability, testing, experimentation, and AI evaluation. Partner across Product, Editorial, Research, and Engineering to deliver trusted AI-powered legal information workflows from prototype through continuous improvement.

Leads enterprise DevOps and platform engineering initiatives, designing scalable AWS infrastructure, CI/CD pipelines, Infrastructure as Code, containerized environments, and cloud-native solutions. Drives monitoring, observability, reliability, security, incident response, modernization, and cloud migration. Provides technical leadership and mentorship while partnering with engineering, security, and operations teams to improve secure, scalable software delivery and advance cloud and automation practices.

Design, develop, test, deploy, and support scalable full-stack enterprise applications. Build React interfaces, Java and Spring Boot services, Node.js and Python back ends, REST APIs, microservices, and relational databases. Contribute to cloud deployments, CI/CD automation, testing, security, troubleshooting, technical documentation, and solution design while collaborating with product, architecture, QA, DevOps, and business stakeholders.

Design, develop, test, deploy, and support enterprise full-stack applications using Java, Spring Boot, React, Node.js, Python, SQL, microservices, and cloud platforms. Build secure APIs, optimize databases, support CI/CD and cloud-native deployments, troubleshoot across the technology stack, and collaborate with product, architecture, QA, DevOps, and business teams. Contribute to technical design, documentation, code quality, engineering standards, and continuous improvement.

Design, develop, test, deploy, and support enterprise full-stack applications. Build React interfaces, Java and Spring Boot back-end services, APIs, microservices, databases, and cloud deployments. Contribute to CI/CD, automated testing, security, troubleshooting, technical documentation, and solution design while collaborating with product, architecture, QA, DevOps, and business stakeholders.