Top AWS Jobs in Toronto

Administers, configures, and supports Jira, Confluence, GitHub, and other R&D tools. Builds projects, workflows, permissions, dashboards, reports, integrations, and documentation; evaluates and implements new Atlassian tools; supports R&D lab environments; partners with IT and Product teams; tests tool functionality; and develops user training and best practices.

Build and operate full-stack features across TypeScript, Node.js, React, and Rust services. Own development from design through production, including APIs, webhooks, integrations, testing, CI automation, code review, refactoring, troubleshooting, and on-call support. Improve agentic development workflows and quality practices, expand automated coverage, and collaborate with distributed product and engineering teams in an Agile/Scrum environment.

Owns BeyondTrust’s product vulnerability management program end to end, including FedRAMP 20x continuous monitoring, risk assessment, remediation, exception handling, metrics, evidence, and reporting. The role establishes processes for new products, automates triage and reporting, partners with Security Engineering on integrations, drives remediation across engineering teams, and leads response to actively exploited and zero-day vulnerabilities.

Develop and maintain high-performance web frontend applications and backend services for a collaborative XR platform. Lead complex cross-team projects, shape cloud and web architecture, optimize browser and XR headset performance, and translate business requirements into product features. The role requires expertise in JavaScript, React, TypeScript, browser performance, distributed systems, real-time communication, AWS, and Electron, with preferred experience in 3D web technologies, cloud-native architecture, databases, containers, game engines, CI/CD, and observability.

Own the roadmap and product strategy for DigiCert’s DNS and digital trust portfolio. Translate customer needs, market trends, telemetry, and technical capabilities into requirements, metrics, and secure cloud-native products. Partner with engineering, security, architecture, sales, marketing, and customers to deliver API-first infrastructure, validate concepts, launch products, and drive adoption. The role emphasizes trusted discovery, policy enforcement, reliability, security, experimentation, and emerging agentic use cases.

Develop, test, deploy, and maintain scalable full-stack software using the MEAN stack. Contribute to system architecture, performance optimization, security, reliability, code reviews, and continuous process improvement. Collaborate with product managers, designers, and engineers to deliver user-focused features. Apply AI-assisted development tools, explore LLM integrations and automated testing, and mentor teammates on modern engineering practices.

Join the Platform squad to build and maintain a Typescript-based serverless microservices platform on AWS. Improve cloud availability, security, CI/CD, public APIs, data pipelines, internal DevOps libraries, and developer tooling while collaborating across product and engineering teams.

Leads Versapay’s enterprise data strategy, architecture, governance, quality, accessibility, and AI readiness. Builds unified data infrastructure, semantic models, catalogs, asset registries, and governance standards while enabling secure internal and commercial data products. Partners with Product, Engineering, Commercial, Finance, and Legal, and leads the Data Platform Team. Owns data maturity roadmaps, warehouse cost management, AI infrastructure readiness, and executive-level data strategy.

Design, develop, and maintain secure, scalable backend systems, APIs, databases, integrations, and services. Provide technical direction, lead architecture discussions, coordinate complex initiatives, manage dependencies, review code, improve performance and observability, respond to production incidents, maintain tests and CI/CD workflows, and mentor engineers. Collaborate remotely with Product, Operations, and engineering teams to deliver reliable software.

Lead development of next-generation AI systems for insurance automation, including document validation, voicebots, computer-use agents, and complex workflow orchestration. Set chatbot architecture and technical standards, build and deploy production automations, evaluate emerging AI technologies, and partner with OpenAI on voice models. Own LLM system reliability, including evaluations, regression prevention, latency, cost, and failure handling.

Build and lead next-generation AI systems for automated insurance quoting, customer support, document validation, voice interactions, and external system navigation. Set technical direction for chatbot architecture, evaluate emerging AI technologies, and deploy production LLM systems. Own automation outcomes end to end, including evaluation, regression prevention, latency, cost, and failure handling, while partnering with OpenAI on voice models and workflow automation.

Design, build, and maintain scalable full-stack web applications and APIs using React, TypeScript, Next.js and Node.js. Own features end-to-end, collaborate with product and design, improve CI/CD and developer tooling, migrate legacy systems, and mentor junior engineers while leveraging AI-assisted development.

Leads the architecture and hands-on evolution of Kinaxis Maestro’s cloud-native core platform. Designs distributed database, storage, query execution, and data-processing systems for massive scale, elasticity, performance, resilience, and cost efficiency. Guides architectural standards across Product R&D, prototypes and implements solutions, mentors senior engineers, and influences technical direction across teams. Requires deep expertise in distributed production systems, cloud platforms, concurrency, consistency, and high-performance backend development using Go, C++, or similar languages.

Owns the vision, strategy, roadmap, and outcomes for major Maestro platform capabilities. Leads customer discovery, platform architecture decisions, AI agent capabilities, data product integration, developer tooling, and enterprise adoption. Partners with engineering, data, cloud, and go-to-market teams to deliver scalable APIs, SDKs, services, and administration experiences. Requires 8+ years of product management experience, strong AI and modern data platform knowledge, technical fluency, and the ability to influence senior stakeholders.

Lead the Customer Files Orchestration engineering team and own its distributed service end to end, including file upload, storage, extraction, embedding, indexing, APIs, queuing, reliability, and operations. Hire, coach, and develop engineers; establish team processes, on-call, SLOs, and incident practices; set technical direction and roadmap; and partner with product, platform, storage, document understanding, and indexing teams to scale a reliable, API-first service.

Lead the Rainmaker Ad Server engineering domain, setting technical direction and roadmap for high-scale, low-latency advertising systems. Oversee architecture, reliability, observability, incident management, modernization, and cross-functional delivery with Product, Data Science, ML, and Ads Operations. Build and develop engineering managers and senior engineers while improving execution, scalability, monetization efficiency, and operational excellence across business-critical distributed systems.

Designs and operates scalable AWS infrastructure, builds containerized systems with Docker and Kubernetes, manages Terraform infrastructure as code, improves Jenkins and GitHub Actions CI/CD pipelines, and implements monitoring, logging, troubleshooting, and root cause analysis. The role partners with engineering teams to improve reliability, security, performance, and deployment workflows in complex SaaS environments.

Designs and operates secure, scalable cloud infrastructure and identity platforms across AWS and data centers. Builds IAM, authentication, authorization, SSO, MFA, provisioning, secrets, and key management solutions. Develops Terraform-based automation using Python or Go, supports Kubernetes services, implements Zero Trust controls, and improves reliability, observability, and developer experience. The role includes architecture reviews, cross-team technical leadership, mentoring, production support, incident response, and on-call participation.

Designs and leads CI/CD, artifact lifecycle, build, test, release, and developer infrastructure systems. Improves cloud infrastructure, code review workflows, branching strategies, automation, observability, and engineering productivity. Troubleshoots complex distributed systems, drives architectural improvements, participates in on-call and incident response, and mentors engineers across the Developer Productivity organization. Contributes to AI tooling that automates repetitive engineering workflows.

Own the end-to-end architecture of a governed, zero-copy, cross-cloud data platform spanning Databricks, Snowflake, and other data sources. Define architecture standards, reference designs, metadata and catalog integrations, data contracts, access controls, and agent- or MCP-based data consumption patterns. Translate product vision into technical specifications, guide engineering decisions, ensure enterprise alignment, and communicate complex trade-offs to technical and business stakeholders in a consulting environment.

Supports MySQL databases, Linux servers, and AWS infrastructure for high-volume gaming platforms. Responsibilities include database administration, monitoring, backups, restores, disaster recovery, replication, patching, performance troubleshooting, production support, and collaboration with development, QA, DevOps, infrastructure, and security teams. The role participates in an on-call rotation after training.

Develop and support full-stack applications for OTC derivatives and Markets Technology. Responsibilities include feasibility analysis, system design, coding, testing, implementation, user support, security improvements, risk assessment, and advising junior analysts. The role requires Java-based REST API development, JavaScript or React proficiency, TDD, clean code, algorithms, SQL, and independent work in a fast-paced financial technology environment.

Designs and reviews security controls for multi-cloud architectures, applications, APIs, workloads, and data flows. Partners with cloud, network, identity, security operations, and application teams to assess risks and implement secure design patterns. Advises on Zero Trust, IAM, segmentation, encryption, monitoring, perimeter controls, and cloud-native security capabilities. Documents findings, exceptions, remediation plans, and governance guidance while communicating risk and priorities to technical and leadership stakeholders.

Lead technical analysis and design for data solutions, create data models and mapping documents, identify input/output data, mentor junior analysts, and support data warehousing, ETL, and cloud-based implementations.

Design and lead scalable data architectures across lakes, warehouses, analytics platforms, and cloud environments. Build data models, ETL/ELT pipelines, streaming ingestion solutions, and Databricks Lakehouse implementations. Ensure performance, reliability, governance, security, and privacy while advising clients on modernization strategies. Collaborate with stakeholders and analytics teams, translate business needs into technical solutions, mentor engineers, and provide technical leadership across data engineering projects.