Top AWS Jobs in Toronto

Owns two revenue motions: converting Anthropic- and AWS-sourced enterprise leads into consulting clients and independently building pipeline in Financial Services and Life Sciences. Responsibilities include prospecting, full-cycle enterprise sales, solution scoping, proposal negotiation, closing SOW engagements, managing Anthropic partnerships, coordinating co-sell activities, maintaining joint pipelines, supporting partner certifications and marketing, and collaborating with delivery and architecture teams.

Sources and qualifies new business opportunities across North America, builds and manages pipelines, conducts outbound prospecting, leads discovery conversations, and partners with leadership to close consulting and technology-services deals. The role targets mid-market and enterprise clients, requires independent business development in services-led environments, and includes approximately 30% travel for conferences, industry events, and client meetings.

Develop and deploy production-grade machine learning and deep learning solutions at scale. Analyze structured and unstructured data, optimize and operationalize models, and collaborate with data science, engineering, product, and business teams. Provide technical leadership through mentoring, code reviews, software engineering standards, and MLOps best practices.

Perform comprehensive manual penetration tests across web, API, mobile, internal/external networks, Active Directory, and cloud environments. Validate vulnerabilities, produce technical and executive reports, and work with clients on remediation and retesting.

Lead ownership, harden, and operate an AWS-native backend/platform: build APIs, event pipelines, data services, compliance features (audit logging, encryption, data lifecycle), deployment automation, testing/acceptance tooling, and shape architecture and engineering hiring.

Lead client-facing integrations and implementations for an AI-native, compliance-focused travel platform. Design, build, and operate backend services, event pipelines, and data services on AWS. Ensure auditability, encryption/key management, consent and data lifecycle handling, and translate client feedback into product improvements while shaping architecture and early hiring.

Design and deliver secure, high-performing Java microservices supporting Citi’s global reference data platforms. Lead architecture decisions, define technical direction, build REST APIs and enterprise applications, coordinate global engineering teams, establish coding and security standards, select development tools, and mentor colleagues. The role requires extensive Java, Spring, database, messaging, cloud, testing, and build-tool experience, with opportunities to use front-end, CI/CD, API gateway, and integration technologies.

Own backend architecture and develop APIs, scripts, and system integrations for AWS-based self-service and access visibility solutions. Translate business requirements into secure, scalable applications; define technical standards; support testing, troubleshooting, deployment, and ongoing improvements. Collaborate with technical and business stakeholders, manage technical risks and dependencies, document architectures and integrations, and provide technical guidance and mentorship.

Operate and support enterprise BI platforms, primarily Tableau Server and Amazon QuickSight, along with related AWS services and infrastructure. Responsibilities include platform administration, monitoring, incident investigation, access and permissions management, upgrades, troubleshooting data integrations and APIs, root-cause analysis, automation, runbook development, and continuous operational improvement.

Lead the architecture and development of Okta’s Identity Security Fabric for human and AI-agent identities. Design scalable distributed systems, secure APIs, authentication and authorization capabilities, agent gateways, and short-lived credentials. Drive implementation of the Discover, Onboard, Protect, and Govern maturity model while improving reliability, observability, CI/CD, and AI-native engineering practices. Partner with Product and Design, shape technical strategy, address technical debt, and mentor engineers.

Supports channel partners with technical sales, solution demonstrations, product evaluations, training, onboarding, and partner enablement. Provides product expertise, answers technical inquiries, maintains demo and sandbox environments, gathers feedback for Product teams, and collaborates with account managers and sales engineers to increase revenue. The role requires extensive enterprise mobility and mobile device management experience, strong networking and identity-management knowledge, and travel across North America.

Provides Level 1 technical support for hardware, software, applications, accounts, networks, and access issues. Manages incidents through an ITSM platform, meets SLAs, escalates complex problems, and owns the customer experience. Supports user onboarding, training, communications, documentation, account administration, workstation deployments, asset records, and UAT for technology changes. Collaborates with IT teams and stakeholders while identifying recurring issues and continuous improvement opportunities.

Develop and maintain automated testing frameworks while performing approximately equal automated and manual testing across the product lifecycle. Create tests for functionality, regression, performance, and reliability; investigate failures, document defects, verify fixes, and support root-cause analysis. Collaborate with developers, product managers, and QA engineers, improve test tools and coverage, communicate quality risks, and apply Agile testing practices across Android, iOS, frontend, backend, and API applications.

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.

Own the lifecycle, stability, security, and operational governance of enterprise GRC and RegTech applications. Lead regulatory technology projects from planning through deployment, manage audits, regulatory examinations, remediation plans, controls, vendors, budgets, and cross-functional stakeholders. Oversee change, incident, release, resiliency, access governance, data protection, and continuous control monitoring while translating regulatory requirements into application roadmaps and technical initiatives.

Design and develop scalable Java server-side components supporting banking risk and capital systems. Translate business requirements into system designs, build microservice applications with Spring Boot and REST, write tests, coordinate releases, and provide production support. The role requires collaboration with stakeholders and globally distributed teams, management of concurrent projects, and expertise in cloud platforms, distributed architectures, low-latency applications, databases, messaging, CI/CD, and Agile development.

Owns a portfolio of 10–20 mid-sized Canadian enterprise accounts, managing the full B2B sales cycle from prospecting and discovery through contract close and consumption growth. The role requires building pipeline, expanding workloads, developing ROI cases, selling to technical and executive stakeholders, coordinating with Solutions Architects and partners, forecasting in Salesforce, and driving Databricks implementations from proof of concept to production.

Administer and improve enterprise backup and recovery services across physical, virtual, cloud, and database environments. Monitor and troubleshoot backup failures, perform recovery operations, manage storage and retention, validate disaster recovery procedures, and maintain secure, ransomware-resilient backups. The role supports audits, incident and change management, automation, documentation, on-call operations, and cross-functional infrastructure teams while ensuring business continuity, RPO, and RTO objectives.

Build and maintain AWS-based data repositories and pipelines for security analytics and user behavior insights. Develop Glue and Lambda jobs using Python, create data models, parse security logs, manage metadata, productionize analytical models, dashboards, and reports, and support data quality and ETL processes. Collaborate with Information Security, IT, and analytics teams, manage data requests and small projects, guide stakeholders, develop proofs of concept, and mentor junior team members.

Design and develop high-performance Java and Spring Boot backend services for large-scale data processing applications. Build scalable architectures, optimize SQL queries and data pipelines, resolve performance issues, and apply test-driven development, static analysis, and modern design patterns. Collaborate with cross-functional teams to deliver business-critical features while using AI-assisted development tools and prompt engineering to improve delivery speed and code quality.

Build and optimize backend scalability and service-protection frameworks for Okta’s high-volume Identity as a Service platform. Responsibilities include rate limiting, traffic shaping, latency and throughput monitoring, JVM and SQL profiling, capacity analysis, observability tooling, automated testing, code reviews, production on-call support, incident resolution, and advising engineering teams on scalable design.

Optimize multi-cloud and AI spending across GCP and AWS by identifying savings opportunities, automating budgets and anomaly alerts, enforcing tagging and allocation frameworks, managing discounts, and partnering with engineering teams on cost-efficient architectures. Build dashboards, forecasts, and reporting; govern third-party technology spend; and establish scalable FinOps practices, tooling, and financial accountability across the organization.

Lead full-stack development for an AI-powered insurance application using Python, React, Redux, PostgreSQL, and AWS. Define AI/ML architecture, research emerging technologies, and deliver secure, scalable, observable systems. Partner with product, design, and business teams; contribute to technical strategy and release planning; mentor engineers; and resolve ambiguous, system-wide technical challenges. The role requires expertise in full-stack development, production AI/ML systems, cloud infrastructure, distributed systems, microservices, and end-to-end AI project leadership.

Lead the design, scalability, reliability, and optimization of continuous integration systems, build pipelines, automated testing, deployment workflows, and developer productivity tooling. Improve feedback cycles, monitoring, alerting, incident response, and engineering enablement across the organization. Mentor CI engineers, establish CI/CD best practices, and align developer infrastructure with broader platform goals.

Design, build, and deploy scalable AI features for GoodTime’s conversational AI agent. Develop full-stack TypeScript applications with a backend focus on Node.js, prototype chatbot capabilities, and use LangSmith to monitor and evaluate LLM applications. Own projects from concept through release, collaborate with product and engineering teams, contribute to technical strategy, and prioritize customer outcomes.