Top AWS Jobs in Toronto

Lead data science initiatives for agentic AI products, partnering with data scientists, AI/ML engineers, and product managers. Build, deploy, validate, and optimize machine learning models using large-scale numeric and textual data. Design A/B tests, analyze telemetry, translate technical findings into business strategy, research emerging technologies, and develop talent while guiding enterprise-scale AI decisions.

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.

Own the full sales cycle for enterprise AI consulting engagements, from qualifying partner-referred leads through discovery, solution scoping, proposal development, negotiation, and signed SOWs. Engage banking, insurance, and life sciences buyers; collaborate with architects and delivery teams; manage partner relationships with AWS and Anthropic; maintain CRM accuracy and forecasts; and provide market feedback. Travel up to 30% for client meetings.

Designs, develops, and leads enterprise-scale AWS and Azure data platforms, pipelines, lakes, warehouses, and lakehouses. Builds ETL/ELT workflows using SQL, Python, Spark, Databricks, Kafka, Airflow, and dbt; implements data quality, governance, security, monitoring, CI/CD, and automated testing. Optimizes performance, reliability, scalability, and cloud costs, troubleshoots production issues, collaborates with technical and business stakeholders, and mentors junior engineers.

Designs and leads scalable AWS and Databricks data pipelines, data models, quality frameworks, monitoring, testing, and production deployments. Investigates ambiguous data and business problems independently, translating requirements into secure, reliable technical solutions. Mentors engineers, establishes architecture and coding standards, and partners with architecture, analytics, product, and business teams. Supports AI readiness, data unification, metadata strategy, and enterprise integration initiatives.

Design, develop, test, deploy, and support enterprise full-stack applications using Java, Spring Boot, React, Node.js, Python, and SQL. Build APIs, microservices, databases, and cloud-native solutions while supporting CI/CD, automated testing, security, troubleshooting, and documentation. Collaborate with product, architecture, QA, DevOps, and business teams to deliver scalable and maintainable digital solutions.

Leads enterprise security architecture strategy and governance across infrastructure, cloud, and applications. Conducts threat modeling, secure design reviews, application security assessments, and risk analyses for critical systems. Defines security policies, controls, reference architectures, and threat maps aligned with NIST, OWASP, and ISO 27001. Provides technical leadership, mentors teams, collaborates with engineering and security operations, evaluates security tooling, and supports secure SDLC, DevSecOps, and third-party solution assurance.

Leads enterprise AI and data architecture strategy, defining target architectures, standards, governance, roadmaps, and infrastructure requirements. Designs end-to-end AI solutions spanning data pipelines, model training, deployment, and monitoring. Advises business and technology stakeholders, evaluates emerging technologies, ensures regulatory and architectural compliance, manages risks, presents recommendations to leadership, and mentors technical teams. Requires extensive experience in AI/ML architecture, data engineering, cloud platforms, MLOps, and enterprise technology strategy.

Leads wealth analytics, reporting, automation, and data visualization solutions. Partners with stakeholders to define business needs, transform and integrate data, develop dashboards and recurring reports, automate processes, support UAT, resolve issues, and promote self-service analytics. Provides actionable insights, technical guidance, documentation, and training while ensuring alignment with risk management requirements.

Administers, supports, monitors, and optimizes UiPath and WorkFusion RPA platforms across development, testing, and production environments. Manages bot deployments, schedules, queues, incidents, releases, upgrades, security controls, credentials, backups, and disaster recovery. Performs performance tuning, root-cause analysis, vulnerability remediation, and operational reporting while collaborating with automation, infrastructure, security, and business teams. Supports AI-enabled agentic automation, cloud integrations, and production go-lives in regulated enterprise environments.

Designs, develops, tests, deploys, and maintains enterprise integration solutions using Informatica IDMC, Workato, APIs, SQL, and scripting. Connects Salesforce, Veeva, databases, file systems, cloud warehouses, and lakehouses. Responsibilities include data mapping, pipeline development, validation, error handling, monitoring, performance optimization, troubleshooting, testing, documentation, deployment, and collaboration with architects, developers, and business analysts.

Design, develop, test, deploy, and support enterprise full-stack applications using Java, Spring Boot, React, Node.js, Python, SQL, APIs, microservices, and cloud platforms. Responsibilities include building accessible interfaces, managing databases, supporting CI/CD and cloud deployments, troubleshooting across the technology stack, ensuring security and code quality, collaborating with cross-functional stakeholders, and documenting technical solutions. The role is hybrid, requiring two days weekly in a Toronto office.

Design, develop, test, deploy, and support enterprise full-stack applications using Java, Spring Boot, React, Node.js, Python, SQL, microservices, APIs, and cloud platforms. Responsibilities include database optimization, CI/CD support, automated testing, troubleshooting, application security, technical documentation, and collaboration with product, architecture, QA, DevOps, and business teams.

Design, develop, deploy, and support scalable full-stack enterprise applications using Java, Spring Boot, React, Node.js, Python, SQL, microservices, APIs, and cloud platforms. Responsibilities include solution design, database optimization, CI/CD, automated testing, security, troubleshooting, technical documentation, and collaboration with product, architecture, QA, DevOps, and business teams. The hybrid role requires two days weekly in a Toronto office.

Design, develop, test, deploy, and support enterprise full-stack applications using Java, Spring Boot, React, Node.js, Python, SQL, microservices, APIs, and cloud platforms. Responsibilities include building secure interfaces and services, optimizing databases, supporting CI/CD and cloud deployments, troubleshooting across the technology stack, maintaining documentation, and collaborating with product, architecture, QA, DevOps, and business teams.

Build enterprise workforce management software for forecasting, capacity planning, scheduling, adherence, intraday management, and reporting. Develop Java and Spring Boot microservices, React and TypeScript applications, REST APIs, event-driven workflows, integrations, PostgreSQL data models, cloud-native deployments, and CI/CD pipelines. Troubleshoot production systems, optimize performance and scalability, and collaborate with product, operations research, QA, DevOps, UX, and client stakeholders.

Designs and plans future media production infrastructure, including production asset management, media asset management, television and radio studios, and related platforms. Collaborates with enterprise architects and stakeholders to define scalable roadmaps, conduct technology assessments, and develop reliable solutions for 24/7 environments. Provides technical consulting and coaching across media and IT teams, documents complex specifications, and communicates emerging technologies to nontechnical audiences. The role requires broadcast technology expertise, cloud and infrastructure knowledge, technical leadership, and English-French bilingualism.

Designs and maintains scalable data pipelines supporting analytics, AI, and enterprise data modernization. Responsibilities include coding in SQL, Python, Shell, and Terraform; implementing Snowflake and dbt solutions; ensuring data quality and governance; resolving complex data issues; leading agile delivery; mentoring engineers; collaborating across technical teams; and documenting solutions. The role requires strong cloud, database, orchestration, communication, and stakeholder leadership skills.

Build and enhance real-time anti-fraud systems, backend services, internal tools, validation frameworks, and distributed components across multi-region cloud environments. Develop scalable data pipelines and workflows using big-data, messaging, and streaming technologies. Maintain testing, automation, and delivery frameworks with emphasis on quality, scalability, reliability, and performance.

Build and maintain network edge security systems that improve API security posture, detect and mitigate abusive traffic, and respond to emerging threats. Responsibilities include developing streaming analytics pipelines, integrating CDN and security vendors, managing production systems, contributing to machine learning models, and implementing AI-driven traffic classification. The role requires software or security engineering experience, expertise in Java, Kotlin, TypeScript, Python, SQL, Spark, CDN platforms, and AWS.

Leads and grows an engineering team building financial and supply chain platforms, including agentic workflow automation, reporting, forecasting, tax, compliance, and operational systems. Sets technical direction, architecture, roadmap, and delivery practices while partnering with Finance, Accounting, Tax, Compliance, Product, and Operations. Ensures reliability, security, scalability, testing, observability, and operational excellence, while developing engineers, future leaders, and a healthy engineering culture.

Senior QA Engineer responsible for designing and executing manual and automated testing across functional, regression, performance, usability, and security areas. The role develops test plans and automation scripts, integrates tests into CI/CD pipelines, manages defects and quality metrics, evaluates release risks, and collaborates with developers, product managers, customers, and stakeholders. It also provides guidance to junior QA engineers and supports quality standards for a high-scale network automation SaaS platform.

Lead Nue’s datastore strategy and platform across PostgreSQL, ClickHouse, caching, and streaming systems. Own reliability, scalability, performance, cost, security, disaster recovery, observability, and zero-downtime migrations. Design multi-tenant architectures supporting 10x growth, lead the move to managed PostgreSQL, scale analytics independently, establish engineering standards, mentor teams, participate in on-call, and grow the datastore function.

Leads end-to-end development of scalable full-stack banking and client onboarding platforms, including APIs, microservices, frontend applications, integrations, and cloud modernization. Builds production AI capabilities using LLM APIs, RAG pipelines, embeddings, vector search, prompt engineering, structured outputs, and evaluation practices. Applies security, privacy, human review, cost, latency, and compliance controls while collaborating with product, architecture, and business stakeholders.

Develop, test, implement, document, and support data and AI products. Translate business requirements into technical solutions, contribute to designs, build reusable frameworks and automation, perform regression testing, resolve production issues through root-cause analysis, and improve delivery and deployment processes. The role requires experience with data engineering, ETL/ELT, cloud platforms, structured and unstructured data, AI concepts, GenAI, prompt engineering, RAG, Agile delivery, and JIRA.