Top AWS Jobs in Toronto

Lead data and business intelligence initiatives by translating business needs into scalable data solutions, standardized KPIs, reporting logic, and analytical use cases. Partner with stakeholders, engineers, architects, and BI teams across data integration, transformation, modeling, governance, and reporting. Validate data, investigate discrepancies, improve data quality, and provide technical leadership for cross-functional data initiatives.

Leads the architecture, development, modernization, integration, and lifecycle management of Wealth Management technology platforms. Oversees microservices, APIs, data pipelines, reporting, analytics, security, resiliency, and regulatory controls. Translates business requirements into scalable solutions, manages development teams and vendors, supports audits and risk remediation, and provides technical leadership across Operations, Finance, Risk, Compliance, Sales, Product, and Technology.

Build and maintain enterprise full-stack risk and finance applications using Java and React. Develop scalable backend services, responsive interfaces, RESTful microservices, and event-driven systems supporting credit risk, capital reporting, and regulatory programs. Lead architecture, coding standards, delivery workstreams, stakeholder collaboration, and engineer mentoring across global teams. Apply cloud, database, caching, CI/CD, and big-data technologies to high-volume processing and reliable software delivery.

Design and build Java microservices for global reference data platforms. Drive architecture decisions, establish coding and software architecture standards, develop secure REST APIs, deploy cloud-ready applications, and collaborate with distributed engineering teams. The role also involves testing, mentoring engineers, adopting modern development tools, and managing competing priorities while delivering scalable, maintainable systems.

Build and scale Stripe Link digital wallet products and payment infrastructure. Responsibilities include designing new products, debugging production issues across the stack, mentoring engineers, collaborating cross-functionally, and improving engineering standards, tooling, and processes. The role requires strong software engineering skills, autonomy, collaboration, and comfort working as a generalist across technologies. Experience with large-scale financial tracking systems and cloud technologies is preferred.

Design, develop, and operate scalable backend services, APIs, and distributed systems for eBay’s authentication platform. Build unit, integration, API, and Cypress UI tests; create reusable automation frameworks; integrate testing into CI/CD pipelines; validate asynchronous and database-driven workflows; and promote developer-owned quality practices across engineering teams.

Leads strategy, engineering, operations, security, compliance, and lifecycle management for Four Seasons’ web, eCommerce, and digital experience platforms. Oversees platform roadmaps, cloud architecture, DevOps, SRE, observability, releases, incident management, AI-enabled capabilities, vendor relationships, and regulatory requirements. Builds and develops technical teams while partnering with marketing, analytics, QA, security, legal, privacy, and business stakeholders to deliver reliable, secure, high-performing guest-facing digital experiences.

Leads the Activix CRM full-stack engineering team, combining people leadership, technical guidance, delivery management, and operational ownership. Responsibilities include hiring and coaching engineers, planning and tracking delivery, guiding architecture and code reviews, improving reliability and quality, supporting cloud and production operations, and promoting responsible AI-assisted engineering workflows. The role partners with Product and other teams to deliver scalable web, integration, and mobile applications.

Own and improve multi-cloud production infrastructure across GCP, AWS, and Azure. Build developer platforms, CI/CD pipelines, deployment automation, Terraform modules, and production Kubernetes environments. Lead incident response, root-cause remediation, observability, networking, security, cost optimization, and reliability initiatives. The role requires hands-on automation and programming, collaboration with security and application teams, mentoring, global on-call participation, and regular overlap with U.S. Pacific Time.

Own the technical side of cybersecurity sales, including discovery, proof-of-concept environments, integrations, AI triage tuning, demos, and technical deep dives. Measure AI accuracy and operational improvements, address security and governance questions, and collaborate with product teams to influence features. The role requires security pre-sales or SOC experience, hands-on SIEM, SOAR, scripting, cloud, API, and AI agent knowledge, plus strong presentation skills.

As a Generative AI Consultant, design and implement GenAI solutions, assist in architecture, develop applications, and ensure responsible AI practices while collaborating across teams.

Lead the evolution of the Password Safe platform and infrastructure across cloud and on-premises environments. Design highly available systems, optimize platform services, standardize CI/CD and infrastructure-as-code practices, and establish GitOps workflows. Build observability, SLOs, chaos engineering, and disaster recovery capabilities. Serve as a technical leader by defining SRE strategy, mentoring engineers, conducting design and incident reviews, and influencing the engineering roadmap.

Own the application end to end across React, Node.js, SQL, APIs, integrations, deployment, and production support. Design and implement scalable solutions, troubleshoot complex issues, make architecture and performance decisions, review code, mentor engineers, address technical debt and security concerns, and collaborate across Product, QA, DevOps, and Architecture throughout the SDLC.

Leads the design, development, and operation of AOF’s data platform, including data lakes, warehouses, ingestion, orchestration, governance, reporting, and AI capabilities. Builds internal and customer-facing products using Python, Go, TypeScript, Terraform, and AWS. Drives architecture, security, CI/CD, cloud migration, regulatory reporting, and responsible AI deployment while partnering across business teams. Initially serves as a hands-on individual contributor and later grows an engineering team.

Designs and maintains security controls for blockchain, digital assets, applications, cloud infrastructure, and cryptographic systems. Responsibilities include threat modeling, architecture reviews, key management, application and API security, Kubernetes and cloud hardening, vulnerability management, security monitoring, incident response, risk assessments, penetration testing, and regulatory support. The role collaborates with Cybersecurity, Engineering, DevOps, and Infrastructure teams to implement secure development practices and protect digital asset environments.

Define and oversee end-to-end architectures for regulated clinical technology platforms. Translate business requirements into secure, scalable cloud, full-stack, and integrated solutions; evaluate technologies, develop proofs of concept, guide implementation, and maintain architectural roadmaps. Collaborate with product, engineering, R&D, and business stakeholders, review designs, promote security-by-design, ensure compliance and reliability, and mentor engineers.

Leads pre-sales discovery, solution architecture, strategic advisory, scoping, SOW development, RFP responses, and deal strategy for large-scale data, AI, and cloud transformations. Designs GCP-based data, ML, GenAI, and agentic solutions; facilitates executive workshops; shapes industry-specific offerings; supports opportunities exceeding $1 million; and serves as a trusted technical advisor to C-suite and architecture stakeholders.

Build and scale AI-enabled developer experience, CI/CD, deployment safeguards, observability, and automated response systems. The role focuses on making software delivery autonomous, safe, reliable, and easier for engineering teams to adopt. Responsibilities include architecting enterprise-scale platforms, orchestrating AI agents, reducing technical debt and operational toil, partnering with product engineering teams, and establishing AI-native SDLC workflows. The engineer will also provide technical leadership and turn emerging AI capabilities into production-ready internal platforms.

Leads a global AI engineering organization, owning multi-year strategy, product alignment, team transformation, vendor governance, and engineering operations. Oversees production AI lifecycle delivery, including retrieval, model integration, evaluation, deployment, monitoring, reliability, security, CI/CD, and AWS infrastructure. Establishes data-driven engineering metrics, AI adoption guardrails, cost controls, and responsible AI practices while partnering with product and technology leaders to deliver strategic initiatives.

Designs and maintains automated and manual testing strategies, test suites, and test plans. Identifies and tracks defects, performs API, load, and performance testing, and contributes to feature development and bug fixes. Provides testing guidance, participates in code reviews and planning, supports release quality decisions, and promotes software quality across cross-functional teams.

Develop and maintain scalable full-stack software for an enterprise governance platform. Responsibilities include architecture, system design, AI-assisted development, performance optimization, security, testing, code reviews, technical problem-solving, process improvement, evaluation of LLM and automated-testing technologies, and mentoring engineers. The role requires production AI experience, MEAN stack expertise, cloud infrastructure knowledge, and collaboration with product and design teams.

Lead and manage a team building scalable full-stack legal research products, AI agents, retrieval-augmented generation systems, APIs, and cloud-native services. Provide hands-on technical leadership across architecture, coding, DevOps, security, reliability, and AI-assisted development. Hire, coach, and develop senior engineers while partnering with Product, Design, and stakeholders to deliver production-grade solutions on AWS.

Leads architecture and delivery of mission-critical cloud-native systems using Java, Spring, microservices, and event-driven patterns. Defines technical designs, APIs, integration strategies, security controls, and engineering standards. Mentors senior engineers, guides squads through the SDLC, and partners with platform and SRE teams on Kubernetes, cloud infrastructure, observability, CI/CD, data integration, resiliency, and operational excellence. Communicates technical trade-offs and translates business needs into architecture roadmaps.

Deploy and operate Neural Concept’s AI platform in enterprise customer environments, from architecture through go-live and steady-state support. Integrate identity, data, engineering systems, infrastructure, and model-serving layers across cloud, on-premises, air-gapped, GPU, and HPC environments. Partner with customer IT and security teams, troubleshoot cross-system issues, create runbooks and post-mortems, and feed deployment insights into Product. The role requires customer-facing communication, production deployment ownership, and travel to U.S. customer sites.

Administer and optimize Databricks environments on AWS across development, testing, and production. Responsibilities include workspace provisioning, Unity Catalog governance, access management, cluster and cost optimization, CI/CD, monitoring, troubleshooting, Terraform automation, security controls, compliance, and workflow orchestration. The role partners with engineering, infrastructure, InfoSec, and compliance teams to maintain secure, scalable, reliable enterprise data platforms.