Top AWS Jobs in Toronto

Leads architecture and development of BuildOps’ integration and data platform. Designs APIs, service patterns, databases, event-driven systems, and scalable cloud infrastructure while improving observability, reliability, testing, and deployment practices. Drives technical strategy across multiple engineering teams, mentors engineers, evaluates technologies, and collaborates cross-functionally to deliver secure, high-quality platform capabilities and financial data integrations.

Leads end-to-end delivery of complex technical programs across cloud, infrastructure, platform, security, and engineering domains. Owns roadmaps, capacity planning, governance, milestones, dependencies, risks, executive reporting, Jira administration, and release readiness. Partners with Engineering, Product, Architecture, Infrastructure, Security, and Operations teams to align priorities and drive delivery. Improves program management processes and serves as the primary contact for strategic initiatives.

Manage strategic G2000 customer accounts as a technical and business advisor. Drive retention, consumption growth, revenue realization, executive advocacy, and long-term success through customer business reviews, roadmap alignment, forecasting, and risk mitigation. Build relationships with C-suite and technical leaders, coordinate global resources, influence product strategy, and lead complex migrations and modernization initiatives.

Build and scale frontend applications, backend services, APIs, integrations, and production systems. Own projects from technical design through rollout and maintenance, improve reliability, performance, scalability, and observability, and collaborate cross-functionally with Product and Design. Mentor engineers, contribute to architecture and engineering standards, resolve ambiguous technical problems, and use AI-assisted tools to accelerate development while maintaining sound engineering judgment.

Develop and administer Tableau Server, build optimized data sources and dashboards, write and tune SQL, and perform exploratory data analysis. Partner with business, product, and analytics teams to deliver scalable reporting solutions. Establish visualization standards, document analytical processes, and evaluate AI/NLP tools such as Amazon Q to improve self-service analytics and natural-language querying.

Build Python-based frameworks to validate, reconcile, cleanse, and transform large datasets. Use Pandas and NumPy to identify data quality issues, discrepancies, duplicates, and anomalies. Automate validation workflows, investigate root causes, produce data quality reports, optimize processing, and collaborate with business, analytics, and engineering teams on data migration, onboarding, and integration initiatives.

Leads Zynga’s global centralized data platform and product strategy, overseeing real-time ingestion, cloud data warehousing, experimentation, metrics, governance, and AI/ML capabilities. Manages approximately 60 employees across multiple regions, including senior engineering, product, and program leaders. Drives AI adoption, organizational change, platform reliability, data quality, compliance, and self-service analytics while partnering with studio and executive stakeholders.

Manage a multi-million-dollar book of business, retain and grow high-value customer accounts, build qualified sales pipeline, prospect into technical leaders, and close opportunities. The role requires developing MongoDB product expertise, articulating complex technology value, building customer relationships and champions, and partnering with solution architects and professional services. Success depends on quota attainment, strategic prospecting, sales methodology, and effective territory management.

Build and improve test infrastructure, automation frameworks, CI/CD pipelines, and end-to-end testing strategies. Lead quality initiatives, develop AI-augmented testing solutions, monitor test environments, support incident resolution, and use quality and performance metrics to improve software reliability. Collaborate with Infrastructure, SRE, engineering leaders, and product teams in an agile environment to expand test coverage and enable safe, efficient delivery.

Develops, validates, deploys, and supports machine learning, predictive maintenance, computer vision, anomaly detection, and predictive quality solutions for manufacturing. Builds data pipelines, analyzes production data, integrates AI with equipment, monitors models, and creates performance dashboards. Collaborates with manufacturing, controls, quality, maintenance, IT, and operations teams to improve quality, reliability, efficiency, FTQ, scrap, and OEE while supporting Industry 4.0 initiatives and equipment validation.

Lead delivery of major iOS software components and platform capabilities, collaborating with engineers and architects. Design, develop, test, implement, and support technical solutions throughout the software development lifecycle. Improve engineering practices, contribute technical and architectural expertise, and mentor junior, intermediate, and senior mobile engineers. The role requires advanced hands-on development using native iOS technologies, Swift, and SwiftUI, with exposure to cloud and agile environments.

Design, architect, develop, test, implement, and support cross-functional native Android applications and full-stack technical solutions. Collaborate with mobile teams throughout the software development life cycle, improve engineering practices, assess evolving technologies, and mentor junior, intermediate, and senior mobile associates. The role requires advanced hands-on development and technical leadership without direct reports.

Lead delivery of major iOS platform components, provide hands-on technical design and architecture, and contribute throughout the software development lifecycle. Design, develop, test, implement, and support technical solutions while improving engineering practices. Mentor mobile associates and advise technical and business stakeholders on evolving technologies. The role requires advanced Native iOS development using Swift and SwiftUI, application architecture, and agile collaboration.

Build and maintain expense submission, approval, and reimbursement platforms as part of Justworks’ Workforce Management team. Contribute to migrating services from Ruby to Go, develop AI-powered features, create and consume REST APIs, work with relational data, and collaborate with senior engineers and product partners to deliver customer-focused solutions.

Lead reliability engineering for Braze’s NGINX ingress fleets, Kubernetes infrastructure, Ruby on Rails monolith, and Go API services. Design scalable, highly available systems; develop automated scaling routines; define SLIs, SLOs, and error budgets; conduct capacity planning; and participate in PagerDuty on-call rotations. Drive incident response, root-cause analysis, blameless retrospectives, runbook improvements, and resilient architecture decisions with product engineering teams.

Provides first-level managed security services support for network security clients in a 24/7 operations environment. Monitors and resolves security requests, escalates complex issues, communicates incident updates, tracks SLA breaches and service trends, and maintains knowledge-base documentation. The role requires firewall administration experience with Palo Alto and Check Point, familiarity with AWS, Azure, and GCP, participation in firewall projects, ongoing training, and willingness to work weekends, holidays, overtime, and rotating coverage.

Leads Dynatrace’s enterprise AI strategy, roadmap, governance, and value realization across global business functions. The role evaluates AI initiatives and vendors, establishes responsible AI policies and risk frameworks, builds an AI Center of Excellence, develops organizational enablement programs, and advises executives on AI investments. It also measures productivity and operational impact, guides adoption and change management, and oversees enterprise AI capabilities, platforms, and partnerships.

Design, build, test, launch, and operate full-stack services automating responses to legal, regulatory, and civil requests. Develop backend systems, internal web tools, and integrations across microservice and event-driven architectures. Collaborate with Counsel, Compliance, and Operations while handling sensitive customer data. Participate in on-call, incident response, code reviews, modernization efforts, and responsible use of AI-powered development tools.

Leads a team of Technical Program Managers executing complex, multi-year technology initiatives, including cloud architecture updates, application convergence, integrations, and enterprise data migrations. Aligns Product, Engineering, Design, Data Science, and Risk stakeholders, resolves delivery bottlenecks, influences senior leaders, and establishes governance, metrics, release controls, and Agile operating practices. Coaches TPMs and improves delivery execution across a matrixed organization.

Build and operate production AI applications and shared platform capabilities using AWS Bedrock and Python. Develop AI agents, MCP servers, APIs, distributed services, retrieval architectures, orchestration frameworks, and evaluation systems. Partner with technical and business stakeholders to identify AI opportunities, modernize existing applications, and integrate AI into enterprise workflows. Influence architecture and engineering standards while supporting delivery planning and mentoring less experienced engineers.

Build and operate backend systems supporting post-transaction card account accuracy, issue resolution, and customer communications. Break down projects, deliver work in phases, collaborate with product and cross-functional teams, monitor system metrics, support availability and on-call operations, and contribute to code reviews and interviews. The role requires backend development experience, distributed systems knowledge, and proficiency in Python or Kotlin, AWS, MySQL, and Kubernetes.

The Engineering Manager leads Data Engineering teams, developing scalable data solutions and collaborating with stakeholders to drive McCain's digital transformation.

Develop server-side poker game features and gameplay functionality in Go for high-performance, large-scale applications. Build and integrate REST and gRPC APIs, SDKs, tools, and technologies; extend core systems; contribute to architecture, security, scalability, testing, and operations. Collaborate with engineers and cross-functional stakeholders, participate in long-term initiatives, review code, improve processes, and deliver solutions for live mobile game titles.

Lead cloud security direction across AWS, GCP, and self-managed Kubernetes. Define standards, reference architectures, IAM controls, threat-modeling practices, detections, incident-response playbooks, vulnerability-management workflows, and secure infrastructure-as-code and CI/CD practices. Serve as a senior incident responder and cloud-forensics lead, secure distributed systems and data stores, drive cross-functional initiatives, and mentor security and platform engineers as a senior individual contributor.

Lead the architecture and implementation of scalable distributed systems powering AI features for millions of users. Build production infrastructure, data pipelines, and model-serving interfaces using Python, SQL, Spark or Dask, AWS, and Kubernetes. Partner with applied scientists to productionize ML and LLM features, own operational reliability and technical debt, respond to incidents, and mentor engineers while improving engineering practices across the AI Products team.