Top AWS Jobs in Toronto

Drives partner success by enabling technical sellers, delivering Veeam product training, developing sales plays, and expanding partner mindshare. Provides pre-sales expertise, demonstrations, proof-of-concepts, and technical support for customer evaluations. Collaborates with sales teams and partner leaders to execute account strategies and grow revenue. Requires expertise in cyber resilience, virtualization, data protection, disaster recovery, and related infrastructure technologies, with travel primarily within Canada.

Build and oversee robust full-stack applications for OTC derivatives within Markets Technology. Responsibilities include participating across the SDLC, reviewing technical solutions, shaping application-development strategies, collaborating with product, business, and support teams, managing risks and controls, and strengthening engineering culture. The role requires Java and modern web development expertise, cloud and distributed-systems experience, leadership, stakeholder management, and strong communication skills.

Designs and builds scalable, secure distributed backend systems using Python and AWS. Responsibilities include event-driven architectures, asynchronous processing, cloud data pipelines, serverless applications, REST APIs, performance optimization, and cloud security. The role also involves testing and debugging distributed systems, with optional work integrating LLMs, RAG architectures, vector databases, and embedding-based search.

Own the production deployment of neural and generative models for Waabi’s multi-sensor simulator. Responsibilities include optimizing models with compilation, quantization, mixed precision, CUDA, and custom kernels; building numerical parity benchmarks; developing model export, versioning, registry, and build tooling; collaborating with research teams; and managing GPU workloads in cloud environments.

Lead presales technical discovery, design scalable solutions, develop proposals, statements of work, estimates, and delivery timelines, and support sales-to-delivery transitions. Collaborate with account executives, clients, partners, and technical teams across cloud, infrastructure, platform engineering, cybersecurity, data, and AI. Translate business needs into practical technology architectures, communicate with technical and business stakeholders, and improve solution offerings.

Design, develop, and deploy scalable software applications, tools, and systems. Solve complex technical problems, optimize performance and security, experiment with emerging technologies, and champion quality through code reviews and testing. Mentor engineers, foster collaboration, and contribute to DevOps, cloud, microservices, API, containerization, and database initiatives.

Design and build secure, scalable backend services, APIs, integrations, event-driven pipelines, and content-driven frontends connecting enterprise, SaaS, and AI platforms. Implement cloud infrastructure, authentication, authorization, and Infrastructure as Code while meeting security and compliance requirements. Integrate GenAI capabilities, collaborate across Product and Data teams, participate in architecture reviews, and mentor engineers through code reviews and knowledge sharing.

Leads Emburse’s Analytics and Travel Analytics engineering teams, overseeing people development, delivery, data pipelines, dimensional models, embedded analytics, dashboards, and AI-enabled insights. Owns SDLC and agile practices, partners with Product on scope and tradeoffs, ensures secure and compliant data practices, and improves quality, automation, testing, cost management, and delivery predictability. The role also recruits and develops engineering talent across North America and Europe.

Leads and develops a software engineering team of 5–6 people, balancing people management with hands-on technical leadership. Responsibilities include reviewing code, guiding architecture, managing integrations, improving development workflows, coaching team members, hiring, and delivering scalable applications on schedule. The role requires collaboration with product, vendors, and cross-functional leaders, along with expertise in C#, .NET, cloud platforms, distributed systems, APIs, databases, DevOps, and secure software development.

Owns technical customer success for a genomics platform, including support-ticket resolution, production pipeline monitoring, NGS workflow troubleshooting, quality control, validation, and cloud cost estimation. The role also supports customer onboarding, sample processing, custom genomic deliverables, documentation, and feedback for product and engineering teams. Responsibilities expand into regression testing, dependency maintenance, benchmarking variant callers, and reliability improvements for clinical and research customers.

Lead Percona’s global channels and alliances strategy across hyperscalers, VARs, and systems integrators. Build partner programs, manage AWS marketplace and co-sell initiatives, expand regional partnerships, establish deal registration and attribution processes, and drive partner-sourced and partner-influenced revenue. The role requires cross-functional leadership across sales, services, finance, legal, marketing, product, and engineering, with a focus on measurable partner productivity and scalable operating foundations.

Lead and contribute to the development of scalable web applications and localization infrastructure using Node.js, React, TypeScript, GraphQL, and related technologies. Mentor engineers, guide architecture, improve developer tooling and workflows, maintain infrastructure components, participate in code reviews, troubleshoot issues, and promote engineering best practices across teams.

Own infrastructure security for LiveKit’s production platform. Map cloud security posture, prioritize and remediate infrastructure risks, harden IAM, secrets, networks, tenant isolation, and media storage, and build secure infrastructure-as-code guardrails. Partner with compliance teams on PCI-DSS and ISO 27001 controls and automate audit evidence. The role requires cloud, Kubernetes, Terraform, scripting, and production infrastructure security experience, with AI security and real-time media experience preferred.

Leads customer-facing security architecture and transformation initiatives across Microsoft Azure and Microsoft 365. Advises customers on Zero Trust, threat protection, identity and access management, cloud security, and data security. Conducts architectural design sessions, develops end-to-end enterprise solutions, resolves implementation blockers, drives product adoption, and collaborates with Microsoft, partners, and engineering teams. Requires strong customer relationships, technical leadership, presentation skills, and the ability to obtain Canadian Government Secret Clearance.

Own Banyan HQ’s enterprise architecture strategy, target-state architecture, standards, governance, integration patterns, and technology roadmaps. Lead AI-native infrastructure and data foundations, including LLM access, agent-ready workflows, retrieval architectures, identity, security, cost controls, and governance. Partner with IT, Security, Legal, Finance, and AI leadership on zero-trust architecture, platform rationalization, vendor evaluation, lifecycle planning, and enterprise technology strategy. Communicate recommendations to executives and mentor IT staff.

Own the enterprise data architecture blueprint, reference patterns, data modeling, storage strategy, governance, security, and DataOps standards. Guide batch, streaming, CDC, analytics, AI, regulatory, and data exchange architectures. Review technology choices, vendors, and architecture changes while partnering with engineering and product teams. Establish data quality, MDM, metadata, orchestration, observability, and CI/CD practices, and lead a data maturity program across the organization.

Leads technical direction for high-visibility, cross-organizational software initiatives. Designs and evolves scalable merchandising APIs and services, develops internal platforms and tooling, and delivers reliable full-stack solutions using React, Node.js, and TypeScript. Mentors engineers, conducts code reviews, influences architecture, and collaborates across engineering, marketing, and product teams. The role also involves distributed systems, cloud infrastructure, CI/CD, container orchestration, experimentation, analytics, and potentially open-source contributions.

Designs and governs enterprise technology solutions spanning applications, data, infrastructure, cloud, and AI. Leads hybrid and cloud-native architecture using AWS and Azure, develops architecture strategies and roadmaps, evaluates emerging technologies, and guides complex transformation initiatives. Ensures solutions meet security, regulatory, resilience, and compliance requirements in financial services. Partners with executives, business stakeholders, product teams, and engineers while providing architectural governance, risk mitigation, and strategic technology leadership.

Build and operate reliable backend systems for complex government and enterprise data integrations. Responsibilities include designing bidirectional integrations, asynchronous workflows, retries, idempotency, observability, operational automation, debugging production systems, and creating reusable reliability patterns. The role involves TypeScript and Node.js development, database work, partner collaboration, mentoring, and improving support efficiency in a fully remote environment.

Design, build, deploy, and maintain scalable multi-source ELT pipelines and enterprise data warehouse infrastructure. The role involves optimizing data systems for cost, performance, reliability, and SLAs; curating campaign and business data; creating monitoring and automation; and collaborating with engineering, analytics, SRE, and platform teams to deliver reliable data products.

Provides technical leadership for cloud cost management and reporting platforms. Designs scalable software, APIs, data pipelines, and analytics solutions; establishes engineering standards; leads modernization, automation, security, observability, and CI/CD practices; and drives cross-functional initiatives. The role partners with product, FinOps, cloud platform, and business teams, mentors engineers, leads design reviews, and transforms cloud and AI cost data into actionable insights.

Develop and own Python-based pricing features end-to-end: design and build RESTful APIs and pricing algorithms, deploy cloud-native services, ensure observability and reliability, participate in agile processes, perform code reviews, and collaborate with product, UX, and data teams to deliver scalable production software.

Designs, automates, configures, and deploys cloud infrastructure across AWS and Azure. Builds and manages CI/CD pipelines and release processes using Jenkins, Maven, Artifactory, Nexus, and Bitbucket. Administers Linux and Windows environments, creates Docker images, and manages scalable containerized workloads with Kubernetes, Terraform, and AWS services. Configures Azure networking, virtual machines, DNS, traffic management, and AKS clusters while prioritizing and completing tasks efficiently.

Automates, configures, and deploys cloud infrastructure across AWS and Azure. Builds and manages CI/CD pipelines, build and release processes, Docker containers, Kubernetes clusters, and infrastructure using Terraform. Administers Linux and Windows environments and works with Jenkins, Maven, artifact repositories, and cloud services including EC2, VPC, RDS, S3, EKS, AKS, and Azure networking.

Build privacy-focused services and infrastructure that support consumer privacy rights across Block. Collaborate with engineering, security, platform, and legal teams to embed privacy solutions, define future privacy technology, mentor engineers, review implementations, and maintain monitoring and system stability. The role involves developing scalable, testable software and creating architectures and processes addressing data governance, data flows, access control, security, and privacy risks.