Top AWS Jobs in Toronto

Design and build scalable customer-facing applications with React and Node.js, resilient microservices and APIs on AWS, and CI/CD cloud infrastructure. Write tested, secure, reliable code; support production systems through deployments, troubleshooting, and on-call rotations. Collaborate with product managers, developers, operations, and design teams to deliver platform features and roadmap initiatives while applying modern architectural, observability, and development practices.

Build quality engineering frameworks, test suites, CI infrastructure, and developer tools for distributed Core Banking and Risk systems. Lead shift-left quality practices, diagnose operational bottlenecks, analyze defect data, influence engineering teams, mentor junior engineers, and communicate quality metrics to leadership. The role is approximately 75% hands-on development and 25% team influence, mentorship, and adoption efforts.

Owner of a portfolio of large regulated Partner accounts, responsible for revenue expansion, account strategy, and technical growth interventions. Combine account leadership, hands-on engineering (SQL, Python/Node, JS/TS, Vue/React), experimentation (A/B testing), and cross-functional collaboration to diagnose performance, build and ship fixes, and codify repeatable growth playbooks.

Design, architect, and develop native Android features across the full SDLC. Own cross-functional, multi-platform system design, implement and test solutions, improve engineering practices, and mentor junior mobile engineers.

Lead design and delivery of scalable, secure solution architectures across cloud-based systems. Create ADRs and HLDs, participate in governance, collaborate with stakeholders, mentor teams, and ensure alignment with architectural and security standards.

Design and build Index Cloud, a globally distributed, multi-tenant compute platform across Kubernetes, bare-metal, and public cloud infrastructure. Own architectural decisions, infrastructure-as-code frameworks, platform APIs, SDKs, deployment systems, networking, storage, and distributed systems solutions. Drive technical strategy through RFCs and design reviews, improve developer productivity with self-service tooling, and mentor engineers across multiple teams.

Design and build Index Cloud, a globally distributed, multi-tenant platform operating across bare-metal and public cloud infrastructure. Responsibilities include architecting Kubernetes clusters, infrastructure-as-code frameworks, deployment systems, platform APIs, SDKs, and distributed systems. The role drives technical strategy through RFCs and design reviews, improves developer self-service, establishes security and tooling standards, mentors engineers, and collaborates across SRE, networking, security, operations, and software engineering teams.

Own the vision, roadmap, and delivery of AI and analytics capabilities for an enterprise EHSQ SaaS platform. Lead customer and market discovery, prioritize backlogs, define product metrics, and partner with engineering, data science, architecture, design, sales, marketing, and services teams. Drive AI feature launches, adoption measurement, governance, enablement, pricing, and executive communications while ensuring trustworthy, explainable, and compliant product experiences.

Own complex, end-to-end full-stack features across Angular/TypeScript frontends, backend services, APIs, databases, and platform integrations. Lead architectural decisions, manage technical risks and dependencies, mentor engineers, coordinate delivery across teams, and improve testing, CI/CD, observability, and technical debt management. Serve as the squad’s technical anchor while partnering with Product, Design, QA, SRE, and platform engineering to deliver scalable customer-focused solutions.

Build and architect complex customer-facing frontend experiences using Angular and TypeScript. Own features from requirements through architecture, API integration, testing, observability, performance, accessibility, and deployment. Collaborate across backend, product, design, QA, SRE, and platform teams, including troubleshooting PHP and Node.js services. Serve as a technical anchor by setting frontend direction, coordinating delivery, mentoring engineers, and improving engineering standards and system scalability.

Own zero-to-one development of AI identity security capabilities, including agent authorization, least-privilege access, and phishing-resistant authentication. Define scalable architectures, integrate complex APIs, shape product outcomes, and maintain high standards for quality, reliability, observability, and support. Advance AI-assisted software development practices, coach engineers, manage technical debt, and operate large-scale AWS services using Java, JavaScript, and TypeScript.

Design and develop scalable, secure frontend web applications for connected embedded systems. Lead frontend architecture, collaborate with backend/embedded teams, implement device provisioning, telemetry visualization, and remote management UIs. Optimize performance, accessibility, and maintainability; mentor engineers, participate in reviews, and drive frontend best practices.

Build, execute, and maintain CI/CD and service pipelines; support Azure deployments, source-control workflows, SQL database changes, and application delivery. Collaborate with engineering and QA teams on build and deployment tasks, participate in SAFe Agile ceremonies, and incrementally improve infrastructure and delivery processes using automation and AI coding tools.

Develop backend Trust and Safety tools, features, and distributed systems that protect Lyft riders and drivers. Lead safety features from concept through launch, collaborate with product, design, policy, and engineering partners, write maintainable and tested code, participate in reviews and on-call rotations, and promote engineering best practices through knowledge sharing.

Leads the architecture, development, and delivery of scalable Java and Angular microservices applications. Provides technical direction, mentors engineers, drives software quality, security, testing, DevOps, CI/CD, cloud-native adoption, troubleshooting, and performance optimization. Partners with business stakeholders to gather requirements, analyze processes, define technical designs, perform gap analysis, assess feasibility, and ensure solutions align with business objectives, regulatory standards, and measurable value.

Own and evolve cloud, on-premises, and edge infrastructure supporting AI, data, and product workloads. Design Kubernetes platforms, GPU scheduling, CI/CD pipelines, infrastructure-as-code, observability, security, and reliability practices. Lead infrastructure projects, incident response, platform strategy, and developer enablement while balancing cost, latency, reliability, and velocity. Mentor engineers and provide technical direction for scalable, production-grade ML and industrial systems.

Own SOC 2 Type 2 and ISO 27001 compliance programs while securing AWS, GCP, SaaS, infrastructure, identity, CI/CD, and software supply chains. Triage and remediate security findings, administer access and endpoints, support IT operations, manage auditors and customer reviews, debug cloud production issues, and build automated security guardrails, documentation, and postmortems.

Design, train, evaluate, and deploy production computer vision systems for industrial applications. Build detection, segmentation, classification, OCR, tracking, and visual-language pipelines; optimize real-time inference for edge and cloud environments; develop data and evaluation pipelines; fine-tune multimodal foundation models; and improve performance through quantization, pruning, and hardware acceleration. Collaborate across AI, engineering, product, and research teams on architecture, technical design, and production-grade AI systems.

Design and operate production backend services and AI infrastructure, including model serving, inference, data pipelines, vector stores, RAG systems, APIs, and microservices. Architect scalable real-time and batch systems, integrate and deploy LLM, computer vision, and machine learning models, and ensure reliability, observability, testing, and CI/CD. Collaborate with ML, product, and customer-facing teams while documenting systems and mentoring engineers.

Lead and scale GitLab's AWS and GCP marketplace and funding operations. Own marketplace processes, administer hyperscaler tooling (Tackle.io, Salesforce), drive funding initiatives (SCA, MPOPP, MCCP), resolve escalations, build AI automation agents, govern processes, manage vendor relationships, and coordinate cross-functional stakeholders to ensure accurate, scalable hyperscaler go-to-market execution.

Build and deploy production GenAI systems, agentic workflows, retrieval pipelines, and data services for enterprise customers. Learn operational domains firsthand, redesign business processes, create evaluation harnesses, write production Python or TypeScript, and deliver observable AWS-based systems. Partner with executives, engineers, and operators to drive adoption and measurable business outcomes while contributing reusable industry blueprints.

Own two revenue motions: convert Anthropic and AWS partner-sourced enterprise leads into consulting clients and independently build pipeline in Financial Services and Life Sciences. Manage relationships with partner and field sales teams, lead co-selling and joint go-to-market activities, run discovery through signed SOW, prospect enterprise decision-makers, scope consulting proposals with delivery teams, and provide market intelligence to leadership. Travel up to 40% for customer and partner engagements.

Develop and maintain high-performance telematics software using C#, .NET, SQL, JavaScript, and TypeScript. Design applications, translate use cases into functionality, perform test-driven and security-driven development, conduct code reviews, troubleshoot performance and software defects, and build prototypes and proofs of concept. Collaborate with technical teams on scalable, reliable system architecture while documenting solutions and managing multiple priorities.

Build and operate secure, reusable LLM infrastructure across its lifecycle; lead research, prototypes, and technology evaluations; enable engineering teams with AI tooling and patterns; advise product teams on AI decisions; and influence technical strategy, code quality, performance, and development practices. The role requires full-stack engineering, ownership of significant components, mentoring, collaboration, and comfort moving between exploratory work and production systems.

Design and deliver scalable full-stack applications using Java, Spring Boot, Angular, React, and Next.js. Build secure REST APIs, responsive accessible interfaces, and maintainable tested code. Collaborate with product, design, platform, and engineering teams on end-to-end features. Contribute to architecture, code reviews, CI/CD, cloud-native deployment, automated testing, and continuous process improvement while owning delivery risks and technical trade-offs.