Top AWS Jobs in Toronto

Lead the design and implementation of scalable Java microservices, data platforms, and batch and real-time pipelines. Optimize lakehouse technologies, event-driven architectures, cloud-native deployments, data quality, governance, observability, and performance. Establish schema contracts, testing, monitoring, SLAs, SLOs, and automated validation. Provide technical leadership, mentor engineers, collaborate with product, analytics, and AI teams, and drive modernization and engineering best practices as a hands-on contributor.

Provides strategic IT guidance to managed-service clients, aligning technology investments with business goals. Responsibilities include developing IT roadmaps, managing client relationships and retention, conducting strategy meetings, planning budgets and risk controls, improving security posture, documenting environments, overseeing invoicing, and coordinating internal processes. The role requires strong technical aptitude, communication, organization, problem-solving, presentation, and project-management skills, plus experience with managed service providers and Microsoft, cloud, virtualization, and infrastructure technologies.

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.

Leads the strategy, architecture, governance, and modernization of global network security across enterprise, cloud, data center, remote access, and manufacturing OT environments. Designs Zero Trust, SASE, SD-WAN, firewall, segmentation, cloud connectivity, and detection solutions; oversees architecture standards, risk assessments, compliance, incident response, automation, vendor management, and technology roadmaps. Acts as a technical authority, leads design reviews, influences executives, and mentors engineers and architects.

Owner of end-to-end production problems: design, build, experiment, ship, and measure outcomes across backend, frontend, data pipelines and AI. Act as a technical leader, reviewer, incident mitigator, and cross-functional partner to product and design while advancing AI-driven tooling and safeguards.

Own and set direction for a large domain, design cross-team architecture, build production systems (often AI-enabled), partner with product/design/data, coach senior engineers, and remain hands-on in code and delivery.

Lead PAM architecture and engineering for IDIRA/CyberArk Privileged Cloud, including custom CPM plugins, PSM connectors, MFA integrations, JIT access, cloud administration, and AI-agent credential vaulting. Establish onboarding standards, security controls, automation, auditability, and risk metrics across AWS, Azure, and GCP. Troubleshoot complex platform issues, remediate privileged-access risks, guide application teams, and support incident response involving compromised privileged accounts.

Build and own internal tools, admin interfaces, and workflows that replace manual processes and improve operational efficiency. Responsibilities include full-stack development, testing, deployment, monitoring, production system ownership, infrastructure optimization, and improving platform reliability and scalability. The role also involves internal user discovery, prioritizing workflow improvements, mentoring junior engineers, and influencing technical direction.

Leads the design, development, deployment, and scaling of AI, machine learning, generative AI, and agentic AI solutions for commercial pharmaceutical operations. Owns the full AI product lifecycle, advises on architecture and modeling, partners with cross-functional stakeholders, ensures responsible AI governance, develops reusable frameworks, communicates insights, mentors technical staff, and supports organizational AI strategy and capability building.

Designs, develops, deploys, and supports production-grade Generative AI and Agentic AI solutions. Builds RAG systems, multi-agent architectures, AI copilots, reusable AI frameworks, orchestration workflows, and enterprise integrations. Collaborates with product, business, data, and engineering teams; ensures scalability, reliability, observability, security, privacy, governance, and regulatory compliance. Evaluates and improves AI applications, contributes to platform strategy, communicates technical decisions, and mentors junior technical staff.

Leads consultative AI sales to enterprise accounts, from discovery and pursuit management through proposals, negotiation, contract signature, delivery partnership, renewals, and account expansion. Develops the client narrative, value case, pricing structure, and commercial strategy while collaborating with AI and consulting leaders on solution design. Targets executive buyers across retail, financial services, manufacturing, automotive, and healthcare, with performance measured by booked revenue, pipeline, win rate, engagement size, retention, and account growth.

Develop cloud-native Java applications, REST APIs, and high-throughput transactional services using Spring Boot and Kafka. Query data with SQL, monitor applications with Splunk and New Relic, and support CI/CD delivery. Collaborate in Agile teams to implement business-focused changes, troubleshoot systems, and contribute to product strategy. The role also involves using GenAI tools and may include microservices, Kubernetes, Docker, GCP, and AWS.

Leads cybersecurity threat modeling for applications, systems, cloud environments, architecture patterns, and AI use cases. Assesses risks, defines security requirements and mitigations, supports testing and assurance activities, manages findings, and advises technology teams throughout project lifecycles. The role scales threat-modeling capabilities through methodologies, tooling, training, and reporting while integrating security into DevSecOps and governance. It also communicates risks to technical and executive stakeholders and mentors team members.

Develop and maintain full-stack web applications, responsive interfaces, dashboards, APIs, microservices, data pipelines, and AI-enabled features for investment banking and global markets. Optimize SQL and NoSQL databases, implement testing and monitoring, and ensure performance, reliability, security, and data quality. Collaborate with stakeholders, data scientists, and product managers through the software development lifecycle while using agile practices and generative AI development tools.

Build full-stack AI and data-platform applications, including Python backend automation, agent-enabled workflows, MCP servers, metadata and data-contract tooling, and platform discovery interfaces. Design APIs, asynchronous services, schemas, microservices, testing, and CI/CD pipelines while integrating LLMs, graph data, cloud infrastructure, and governance platforms. Contribute to architecture, scalability, security, code quality, and client-focused consulting delivery.

Own the realtime voice channel end to end, including telephony integrations, streaming speech pipelines, model orchestration, and latency optimization. Build full-stack features with React, TypeScript, Scala, Python, and GCP; design scalable multi-tenant systems; implement safety and compliance controls; maintain observability, incident response, and SLA performance; and mentor engineers through architecture and code reviews.

Lead the architecture and technical direction of Lyft’s mapping data platforms, including offline experimentation tooling, route simulation services, scalable pipelines, data governance, and observability. Own pipeline reliability and SLAs, evolve schemas, optimize SQL and data processing, build backend services and AI-assisted data tools, and mentor engineers. Collaborate with engineering, product, machine learning, and data science teams to improve routing quality and travel-time accuracy.

Own complex analytics engineering workstreams, design scalable analytical models and semantic layers, establish modeling and quality standards, improve AWS workload performance and reliability, and support AI-driven analytics capabilities. Partner with platform, product analytics, engineering, and governance teams; guide migrations and technical debt reduction; ensure privacy, security, and business fit; and mentor analytics engineers and analysts.

The Senior Platform Engineer will manage and build cloud-native infrastructures, develop backend features, ensure high availability, and interface with users while leveraging AI to enhance developer productivity.

Develop, launch, and maintain backend systems for card issuing and transaction processing. Break down projects, collaborate with product/design/analytics, write clear well-tested code, support operations and on-call duties, create/monitor metrics, perform code reviews, and participate in hiring and team growth activities.

Build and operate secure, reliable backend platform services in Go or Rust. Responsibilities include event-driven workflows with Kafka and Temporal, identity and authorization, secrets and cloud KMS integrations, multi-tenant systems, GitOps deployments, secure third-party connectors, audit infrastructure, observability, performance improvements, failure recovery, and incident response.

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.