Top AWS Jobs in Toronto

Leads multiple software engineering teams building scalable, resilient solutions that reduce fraud and improve customer experiences. Responsibilities include people leadership, talent and succession planning, engineering quality, application availability, innovation, mentoring, and hands-on development. The role requires strong software engineering experience, agile leadership, cloud exposure, architecture knowledge, and the ability to influence senior business and product stakeholders.

Lead the design and development of Braze’s high-scale user segmentation and targeting systems. Build real-time data pipelines, APIs, and customer-facing dashboard capabilities; own system architecture, performance, reliability, and cost. Partner with product teams, mentor engineers, drive technical initiatives, and improve operational processes. The role requires extensive experience building customer-facing, data-intensive systems and influencing architecture at scale.

Leads enterprise data quality and governance initiatives, including data profiling, validation, cleansing, monitoring, metadata management, cataloging, lineage, classification, and data protection. Partners with business stakeholders, data owners, engineering, architecture, analytics, and security teams to define quality standards, remediate issues, improve governance-platform adoption, and establish data sensitivity controls. Provides technical leadership across global data environments and supports AI-enabled classification and responsible data use.

Lead backend development for Capital One's travel portal across the SDLC. Own technical design and architecture for fault-tolerant, cross-platform systems, improve developer experience and internal tools, establish engineering best practices, and mentor junior and intermediate engineers while collaborating with technical and business stakeholders.

Developer Advocate for Bluebox.ai, responsible for building developer trust and community presence from scratch. The role involves creating technical content, demos, videos, workshops, livestreams, conference talks, and user stories; engaging communities across Discord, Hacker News, Reddit, Bluesky, and X; improving documentation and onboarding; informing product and engineering roadmaps with user feedback; and driving sign-ups and product usage. Requires hands-on development, daily AI coding agent use, production debugging experience, and willingness to travel up to 25%.

Build and operate cloud security platforms protecting PagerDuty’s AWS and Kubernetes environments. Harden EKS, Istio, containers, IAM, PKI, and encryption; automate controls with Python, Go, Terraform, and policy-as-code. Shape detections, threat hunting, incident response, and compliance evidence across FedRAMP environments. Partner with engineering, AppSec, and GRC teams, develop AI-assisted security automation, participate in on-call, mentor teammates, and lead security initiatives.

Lead technical direction for complex, early-stage Mastercard products from concept through deployment. Architect scalable applications, data platforms, AI-enabled solutions, integrations, and reusable engineering patterns. Make architecture decisions under uncertainty, develop prototypes, manage technical risks, and influence cross-functional stakeholders. Coach senior engineers, conduct design reviews, establish engineering standards, and advance responsible AI adoption across software delivery and product development.

Designs and positions telecom analytics solutions for network visibility, service assurance, customer experience, and operational intelligence. Responsibilities include architecting end-to-end data pipelines, applying 4G, 5G, and IMS expertise, integrating probe data and telemetry, enabling AI/ML and Generative AI use cases, and advising engineering and delivery teams. The role also develops reusable architecture patterns, manages solution risks, and supports cloud-native, real-time, and operational analytics implementations.

Designs, builds, and maintains AI-powered developer tools and applications across frontend, backend, APIs, cloud infrastructure, LLM features, agentic workflows, and MCP-based services. The role establishes technical vision, architects scalable systems, reviews code and technical plans, improves platform reliability and AI capabilities, supports production integrations, and collaborates with product, design, engineering, and game development teams.

Designs and leads scalable AI systems, full-stack applications, cloud infrastructure, LLM-powered services, and agentic workflows across Zynga’s game studios. Owns architecture strategy, evaluates AI platforms, establishes engineering standards, drives reliability and quality practices, collaborates with stakeholders, manages technical risk, and mentors engineers. Requires strong Python, cloud, Kubernetes, database, algorithms, and AI/ML integration expertise.

Architect, build, and optimize BuildOps’ full-stack platform using React.js, Node.js, GraphQL, REST, and SQL. Lead technical decisions, API and database optimization, observability, testing, cloud infrastructure, and event-driven architecture. Mentor engineers, establish engineering best practices, guide cross-team technical initiatives, and collaborate with product, QA, customers, and partners to deliver reliable, scalable software.

Build and scale reliable Snowflake data pipelines, ML pipelines, monitoring systems, and AI-driven agentic tooling that automates pipeline generation, testing, and maintenance. The role partners with analysts, data scientists, product teams, and analytics engineers to deliver scalable end-to-end data infrastructure for Babylist’s e-commerce platform.

Test and validate AI models and software for automotive use cases: generate ground truth, build annotated datasets and testing frameworks, evaluate technologies, support R&D engineers, coordinate projects and outsourced work, and collaborate with internal and external partners to drive innovation and product readiness.

Supports the governance, risk, and compliance program with a focus on third-party risk management. Conducts vendor assessments, maintains security policies and standards, performs risk analysis, supports SOC 2 audits, gathers evidence, tracks findings, and conducts internal audits. The role also uses AI and machine learning tools to improve GRC processes and promotes security awareness across the organization.

Lead the design, development, and technical strategy for high-availability financial services supporting Affirm’s card loan platform. Build scalable APIs, data models, microservices, and event-driven systems; troubleshoot performance and reliability issues; collaborate cross-functionally on loan attribution and lifecycle requirements; and mentor engineers through technical guidance, design reviews, and code reviews.

Own the direction and implementation of Babylist’s personalization domain, including recommendation, search, feed models, custom embeddings, and shared representations. Take ambiguous problems from concept through production, owning architecture, deployment, monitoring, retraining, evaluation, and customer impact. Partner with product, design, and data, establish AI development standards, make cross-team technical decisions, and coach senior engineers while remaining hands-on with complex machine learning systems.

Leads the technical design and development of fault-tolerant, cross-functional full-stack applications for Capital One’s travel portal. Builds front-end and back-end systems, contributes to architecture and high-level design, establishes engineering standards, improves developer tools and experience, provides technical support, and mentors junior and intermediate engineers. Collaborates throughout the software development lifecycle in an agile, hybrid work environment.

Develop full-stack features for an internal onboarding tool across frontend, backend, databases, infrastructure, testing, deployment, monitoring, and cybersecurity. Collaborate throughout the software development lifecycle, participate in Agile ceremonies, conduct design and code reviews, document technical work, and collaborate with Product and Analyst stakeholders. The role includes learning AWS cloud infrastructure and contributing to requirements definition, system architecture, and continuous improvement.

Lead a team of at least six engineers building enterprise developer platforms and tools. Architect AI-powered developer productivity capabilities, optimize development workflows, manage GitHub and CI/CD infrastructure, and improve internal libraries. Partner with engineering, product, and business leaders on technical strategy, mentor engineers, establish standards, and drive innovation across a large technology organization.

Work on a collaborative engineering team throughout the software development life cycle. Responsibilities include developing features, participating in design and code reviews, writing unit, component, and integration tests, building AWS infrastructure, supporting CI/CD, documenting technical work, monitoring applications, addressing vulnerabilities, and collaborating with Product and Analyst stakeholders in an Agile environment.

Own third-party risk management and business continuity programs while building production data pipelines, integrations, policy-as-code controls, continuous monitoring, and agentic AI workflows. The role requires defining technical direction, integrating imperfect data sources, automating evidence collection, and partnering across Security, Procurement, Resilience, and Engineering teams to improve governance and operational resilience.

Own the application end to end across React, Node.js, SQL, APIs, integrations, deployment, and production support. Design and implement scalable solutions, troubleshoot complex issues, make architecture and performance decisions, review code, mentor engineers, address technical debt and security concerns, and collaborate across Product, QA, DevOps, and Architecture throughout the SDLC.

Owns end-to-end DevOps, cloud infrastructure, CI/CD, Kubernetes, Infrastructure as Code, monitoring, security, reliability, and production operations. The role designs automated deployment processes, manages cloud environments, troubleshoots complex infrastructure and networking issues, implements observability and disaster recovery, optimizes cloud costs, and guides engineering teams on secure, scalable DevOps practices.

Build and scale AI-enabled developer experience, CI/CD, deployment safeguards, observability, and automated response systems. The role focuses on making software delivery autonomous, safe, reliable, and easier for engineering teams to adopt. Responsibilities include architecting enterprise-scale platforms, orchestrating AI agents, reducing technical debt and operational toil, partnering with product engineering teams, and establishing AI-native SDLC workflows. The engineer will also provide technical leadership and turn emerging AI capabilities into production-ready internal platforms.

Build and operate database and storage platform software, including services, APIs, developer tools, migrations, and lifecycle automation. Solve database scaling, performance, reliability, and availability problems across distributed systems, cloud infrastructure, and backend services. Partner with engineering teams on schemas and queries, lead technical projects, modernize platforms, participate in incident response, and use AI-assisted tools in development.