Top AWS Jobs in Toronto

Lead hands-on development and operation of backend-heavy full-stack systems for billing, usage metering, rates, and marketplace workflows. Build Go services and APIs, contribute to TypeScript/React applications, manage databases and Kubernetes infrastructure, automate operational processes, investigate production issues, and execute deployments and migrations. Provide technical leadership through design, reviews, mentoring, incident response, and end-to-end project delivery.

Leads enterprise data design and governance across insurance domains, defining conceptual, logical, and physical models, data standards, contracts, metadata, lineage, and privacy controls. Partners with business, architecture, engineering, analytics, and AI teams to deliver scalable data solutions across warehouses, lakes, APIs, and operational platforms. Applies Property and Casualty insurance expertise and ACORD standards while guiding migration, modernization, AI-ready data, model lifecycle management, observability, and cross-domain governance.

Designs and maintains DevOps infrastructure, including Kubernetes and Docker Swarm platforms, CI/CD pipelines, cloud environments, infrastructure-as-code, deployment automation, monitoring, alerting, and reliability improvements. The role requires extensive AWS experience and collaboration with development and architecture teams to support scalable, secure, highly available software delivery.

Design, build, and operate Sentry’s streaming platform, including Kafka infrastructure, streaming runtimes, developer APIs, and control-plane automation. Develop resilient, high-throughput real-time processing systems with strong correctness guarantees. Improve scalability, observability, monitoring, failover, and operational efficiency while partnering with product engineers to support reliable ingestion pipelines.

Develop and maintain full-stack coaching applications across web and mobile platforms. Build React frontends, Python and AWS-backed APIs, and support React Native iOS applications. Apply testing, automation, DevOps, security, documentation, and AI-assisted development practices. Collaborate with infrastructure and engineering teams on integrations, technical planning, sizing, and project delivery from requirements through launch.

Leads a small infrastructure engineering team while remaining hands-on with DevOps and SRE work. Responsibilities include developing engineers, delivering infrastructure initiatives, operating Kubernetes and cloud systems, managing incidents and on-call rotations, shaping the infrastructure roadmap, improving reliability and automation, optimizing costs, and collaborating with engineering, security, and product teams. The role also owns reliability KPIs, documentation, hiring participation, and technical delivery across critical production systems.

Leads and develops a small infrastructure engineering team while remaining hands-on with DevOps, SRE, Kubernetes, cloud infrastructure, automation, incident response, and roadmap execution. The role owns reliability, resiliency, uptime, cost optimization, infrastructure initiatives, team delivery, hiring, documentation, and cross-functional collaboration. It requires extensive AWS, Terraform, Linux, networking, CI/CD, database, observability, and production operations experience, with full-time onsite work in Toronto or New York City.

Leads the design and operation of Azure-based cloud platforms with AWS exposure. Owns platform roadmaps, self-service capabilities, Infrastructure as Code, DevSecOps, identity and access management, integrations, CI/CD, observability, reliability, and automation. The role manages platform engineering as a product, improves developer experience, embeds security controls, applies AI-enabled capabilities, and partners with security, architecture, and development teams to deliver scalable, resilient, and cost-effective infrastructure.

Provides Level 2 production application support for mission-critical distributed systems. Builds automation, facilitates CI/CD and Infrastructure as Code, investigates incidents and performance bottlenecks, improves system resilience, and supports cloud, on-premises, and containerized environments. Collaborates with development and support teams using Agile and DevOps practices while contributing to reliable, secure, and optimized technology solutions.

Build and maintain secure, scalable APIs and infrastructure for an AI-powered fintech platform. Develop features across the stack, integrate third-party APIs, deploy infrastructure with Terraform, apply compliance and security practices, and support customers as a technical point of contact. The role involves close collaboration with the CTO in a greenfield, early-stage startup environment.

Design, develop, test, deploy, and maintain scalable full-stack enterprise applications across front-end, back-end, Azure, and AWS platforms. Collaborate in Agile teams, build APIs and integrations, troubleshoot and optimize solutions, participate in code reviews, and apply CI/CD, TDD, and BDD practices. Mentor junior developers, improve engineering standards, document solutions, and provide effective customer support.

Lead Relay’s Data Platform team and senior data engineers. Own platform health, Snowflake cost optimization, real-time data strategy, observability, infrastructure reliability, AI-enabled data capabilities, and technical prioritization. The role includes developing engineers, managing operating rhythms, balancing technical debt with business value, and partnering across the company to improve speed, efficiency, and risk management.

Develop marketing mix and econometric models to measure channel effectiveness, ROI, marginal returns, and budget optimization. Manage data preparation, ETL pipelines, statistical modeling, forecasting, machine learning, scenario simulations, and incrementality testing. Translate complex findings into actionable recommendations and communicate insights to technical and non-technical clients. Collaborate with project leads and stakeholders while managing timelines, deliverables, and expectations.

Own the end-to-end design, development, testing, deployment, and monitoring of secure, scalable Identity Governance features. Build distributed systems and enterprise SaaS capabilities, resolve customer issues, maintain high engineering standards, and collaborate with product, QA, design, and site reliability teams. The role requires expertise in microservices, event-driven architectures, APIs, data modeling, cloud infrastructure, and enterprise security, reliability, and scalability.

Design, build, scale, and operate high-volume payment APIs and distributed systems serving global traffic. Lead complex engineering projects from requirements through production, improve performance, observability, reliability, fault tolerance, and security, and participate in on-call incident response. Collaborate across product and engineering teams, use AI-assisted development tools responsibly, and mentor engineers through technical reviews, documentation, and guidance.

Develop marketing mix and econometric attribution models for advertising clients. Responsibilities include data preparation, ETL automation, statistical and machine learning modeling, scenario analysis, incrementality testing, budget optimization, and model validation. The role translates analytical findings into strategic recommendations and communicates insights through visualizations and presentations to technical and non-technical stakeholders.

Design, develop, test, deploy, and support scalable cloud-native applications using Java, Spring Boot, React, TypeScript, Node.js, PostgreSQL, and microservices. Build REST APIs, integrations, event-driven solutions, CI/CD pipelines, and containerized deployments. Troubleshoot production issues and improve performance, resilience, observability, and maintainability while collaborating with product, UX, QA, DevOps, architecture, and engineering teams.

Manage and mature Baseten’s security governance, risk, compliance, privacy, audit, certification, vendor assessment, and customer assurance programs. Translate regulatory and customer requirements into technical controls and product requirements, partnering with Engineering, Product, Security, Legal, and Operations. Coordinate SOC 2, ISO, HIPAA, FedRAMP, and related audits; manage risk assessments, evidence collection, remediation, security questionnaires, training, and continuous improvement in a fast-growing AI platform company.

Build and maintain streaming and batch data pipelines, data lakes, warehouses, and transformation systems using AWS and modern data tools. Collaborate with engineers on data integrity, testing, validation, documentation, and production code. Develop prototypes for uncertain technical solutions, support data visualization infrastructure, lead projects independently, advocate for trustworthy data, and mentor junior engineers.

Leads multiple software development teams building Redwood’s enterprise SaaS automation platform. Responsibilities include technical leadership, distributed-system architecture, engineering process improvement, Agile delivery, cloud-native development, CI/CD and observability, AI-assisted software development, hiring, mentoring, capacity planning, and engineering KPI reporting. The role partners with product, sales, customer success, and executive stakeholders to align engineering priorities and scale resilient, fault-tolerant Java-based services.

Develop and support scalable cloud-native Workforce Management and Customer Experience applications. Build Java and Spring Boot backend services, React and TypeScript frontends, REST APIs, microservices, database models, integrations, and CI/CD pipelines. Containerize and deploy applications, implement observability and secure API patterns, troubleshoot production issues, and collaborate across product, UX, QA, DevOps, and architecture teams.

Serve as a technical leader supporting sales across enterprise, service provider, and public sector customers. Evaluate F5 solutions, explain technical and business trade-offs, conduct demonstrations and presentations, and collaborate with Sales, Marketing, Product Management, and Development. Provide expertise in application delivery, security, cloud, Kubernetes, containers, Linux, NGINX, APIs, AI infrastructure, and automation. Act as a technical evangelist, publish educational content, mentor solution engineering teams, and support strategic opportunities and product launches.

Own complex backend initiatives from architecture through production deployment and ongoing evolution. Design scalable services, APIs, data models, asynchronous workflows, and cloud-native systems. Provide technical direction, coordinate dependencies, mentor engineers, and improve testing, CI/CD, observability, reliability, security, and code quality. Collaborate with Product, Design, QA, SRE, platform, and engineering teams to deliver durable customer-focused solutions.

Build and optimize scalable data pipelines, models, integrations, and workflows supporting analytics, loyalty strategy, and enterprise decision-making. Maintain Snowflake-based data infrastructure, improve automation, CI/CD, observability, data quality, lineage, metadata, and governance. Collaborate with analytics, data science, marketing, product, privacy, security, compliance, and external vendors while helping shape cloud-native architecture and technical standards.

Develops and enhances distributed web applications using C# and .NET, RESTful APIs, cloud services, databases, integrations, and modern deployment practices. Responsibilities include designing features, debugging, refactoring, code reviews, unit and integration testing, technical documentation, secure coding, and Agile collaboration. The role requires working across Windows and Linux environments, CI/CD pipelines, third-party APIs, and interconnected system components. This is an onsite position in Toronto.