Top AWS Jobs in Toronto

Conduct cyber threat hunting across enterprise and cloud environments using internal and external intelligence. Identify threats, vulnerabilities, anomalous activity, and security control gaps; develop detection logic, mitigation recommendations, dashboards, and hunting methodologies. Tune detection infrastructure, improve playbooks, analyze host and network data, and collaborate with intelligence, SOC, incident response, and security engineering teams. Serve as a subject matter expert while strengthening enterprise information security practices.

Designs and maintains automation infrastructure for testing and deployment across diverse environments and configurations. Builds intelligent testing agents, CI/CD workflows, Helm and Argo CD deployments, infrastructure-as-code templates, containerized test environments, benchmarking frameworks, and reliability metrics. Establishes testing standards, improves coverage, troubleshoots infrastructure issues, and collaborates with engineering teams to deliver scalable, reliable developer tools and platform infrastructure.

Develop, support, test, and enhance DTMF and conversational IVR applications and voice bots. Build Java-based Cisco CVP solutions, integrate backend services and contact-center platforms, troubleshoot complex issues, estimate project efforts, maintain quality code, and support large-scale applications through testing and production deployment. Collaborate with architecture, business, design, and technology partners while contributing to reusable, standards-compliant solutions and continuous technical improvement.

Own the DataStealth platform’s multi-year technical strategy, architecture roadmap, engineering standards, and security architecture. Write production code in critical systems, lead applied research and prototyping, and guide Principal and Distinguished Engineers. Drive cryptography, tokenization, distributed systems, cloud architecture, AI/ML security applications, operational excellence, and secure-by-design practices. Partner with executives, customers, auditors, and cross-functional teams while maintaining hands-on technical leadership in a hybrid Mississauga environment.

Develop and lead end-to-end solutions for a scalable risk computation platform supporting funding, liquidity, and capital markets analytics. Responsibilities include system architecture, Java and Spring microservice development, Big Data integration, REST APIs, database design, CI/CD, testing, monitoring, and technical leadership. The role collaborates with trading, treasury, risk management, and global technology stakeholders while improving platform scalability, stability, and team efficiency.

Design, develop, and operationalize scalable AI and machine learning solutions for enterprise clients. Responsibilities include building and deploying models, customizing deep learning and generative AI systems, creating data and MLOps pipelines, managing large datasets, conducting AI and high-performance computing research, and integrating production solutions with business and technical teams. The hybrid role requires three office or client-site days weekly.

The Senior DevOps Engineer will architect and maintain multi-cloud infrastructure, build CI/CD pipelines, automate provisioning, and improve system reliability, performance, observability, and security. Responsibilities include containerization, orchestration, deployment optimization, vulnerability management, audit support, engineering collaboration, and documentation. The role requires strong scripting, cloud, Linux, networking, Git, and DevOps expertise, with hybrid attendance four days per week.

Administer and optimize ServiceNow Discovery, Service Mapping, CMDB, and Hardware Asset Management capabilities. Maintain discovery schedules, credentials, patterns, service dependencies, asset inventories, lifecycle data, and CI-to-asset reconciliation. Improve data quality, compliance, and inventory integrity while developing dashboards and reports. Collaborate with infrastructure, cloud, security, application, procurement, and asset management teams to support IT operations, governance, reporting, and compliance.

Own and scale CI/CD pipelines, containerized application deployments, production infrastructure, monitoring, automation, and disaster recovery. Manage OpenShift and Kubernetes environments, JBoss and Tomcat applications, troubleshoot production issues, perform root cause analysis, and participate in 24x7 on-call rotations while meeting reliability targets and security requirements.

Leads end-to-end response to high-priority cybersecurity incidents, including investigation, containment, eradication, recovery, evidence preservation, reporting, and remediation. Provides escalation support and mentorship to incident response analysts, develops playbooks and automation, manages incident response procedures, conducts security exercises, assesses risks, and tracks operational metrics. Collaborates with infrastructure, cloud, identity, application, legal, privacy, and risk teams while participating in a 24/7 on-call rotation.

Prospect and develop new business opportunities, primarily with manufacturing companies in Ontario. Build and execute territory sales strategies, manage prospect relationships, develop AWS and strategic partnerships, represent Ingeno at industry events, maintain CRM opportunity records, and collaborate with delivery and marketing teams to transition new clients. The role is remote in the GTA with occasional travel to Quebec City.

Own end-to-end Dynatrace observability architecture across on-premises, cloud, and hybrid environments. Design and implement scalable APM, infrastructure, digital experience, log, and cloud monitoring solutions. Lead integrations with cloud platforms, Kubernetes, CI/CD pipelines, and ITSM tools while driving automation, SRE, and DevSecOps practices. Manage platform standards, security, roadmap evolution, vendor relationships, documentation, operating models, and knowledge transfer.

Performs application, API, cloud, and infrastructure security testing; assesses vulnerabilities, security controls, and risk; supports remediation and audit evidence collection. The role maintains compliance with NIST, PCI-DSS, ISO 27001, SOC, COBIT, and ITIL frameworks, partners with technical teams, reports risks to leadership, and develops security testing plans and workflows.

Designs, develops, and maintains Selenium-based automated tests using Java, while also performing manual functional, integration, system, regression, exploratory, API, and database testing. Builds test automation frameworks, integrates tests into CI/CD pipelines, analyzes defects, participates in code reviews, reports quality metrics, and improves QA processes. Collaborates with development and product teams in an agile environment to ensure reliable, high-quality software.

Build and operate full-stack features for Alfie, Pebl’s conversational AI assistant. Develop TypeScript or Python backend services, React interfaces, APIs, data models, and agentic workflows using LLMs. Design tool calling, prompt strategies, evaluation, observability, recovery paths, and human handoffs. Troubleshoot production issues, mentor engineers, participate in design and code reviews, and collaborate with product and design teams to deliver polished AI-native experiences.

Build and support customer- and partner-facing integrations for an AI media management platform. Lead discovery sessions, design APIs and data models, develop backend and frontend services, integrate agent frameworks, operate reliable production systems, and manage authentication, permissions, auditability, monitoring, and support. Collaborate directly with agencies and technology partners, launch integrations, and help evolve reusable product capabilities.

Leads and develops Forward Deployed Engineering teams delivering secure, scalable AI and software solutions for legal-industry customers. Responsibilities include architecture, LLM agent development, MLOps and LLMOps strategy, technical delivery, customer discovery, prototyping, production observability, talent management, and cross-functional collaboration with Product, Engineering, Sales, and Customer Success.

Designs, delivers, operates, and continuously improves secure, scalable infrastructure services across on-premises and cloud environments. Responsibilities include architecture, standards, integration, automation, monitoring, capacity management, cost analysis, lifecycle planning, incident resolution, risk mitigation, and technology modernization. The role provides technical leadership, mentorship, and escalation support while collaborating with architecture, security, operations, and suppliers.

Develop and maintain reliable software across Salesforce and cloud-native environments. Design and ship product features, evaluate technical solutions, resolve bugs and bottlenecks, maintain code quality and automation, and troubleshoot production issues through tier-three support. The role also involves collaborating with development teams, applying scalable software design principles, and participating in innovation-focused spike days.

Designs secure, scalable architectures for digital products, APIs, integrations, and customer-facing web and mobile experiences. The role defines technical standards, evaluates architecture options, guides engineering teams, and ensures security, resilience, compliance, and performance. It emphasizes AWS cloud-native services, .NET, API and integration architecture, event-driven systems, databases, DevOps, and AI-enabled solutions. The architect also mentors teams, manages technical risks, contributes to technology roadmaps, and communicates decisions to technical and business stakeholders.

Designs, develops, and maintains Selenium-based automated tests using Java while performing manual functional, integration, regression, and exploratory testing. Builds test frameworks, integrates automation into CI/CD pipelines, conducts API and database validation, analyzes defects, participates in code reviews, and reports product quality. Collaborates with development and QA teams in an agile environment to improve testing processes, methodologies, and software quality.

Lead architecture and hands-on development of enterprise-scale backend services in Java. Define scalable microservices and REST APIs, implement identity and access management (OAuth2/OpenID Connect), optimize performance, integrate content providers, mentor senior engineers, and lead incident resolution and root-cause analysis for critical production systems.

Develop and lead scalable Python backend systems for an AI-driven SaaS platform. Responsibilities include architecture, performance optimization, testing, security, CI/CD automation, documentation, cross-functional collaboration, and mentoring engineers. The role requires experience with cloud infrastructure, containers, databases, messaging systems, distributed architectures, observability, and Agile development.

Design, develop, test, deploy, and support enterprise full-stack applications. Build React interfaces, Java and Spring Boot back-end services, APIs, microservices, databases, and cloud deployments. Contribute to CI/CD, automated testing, security, troubleshooting, technical documentation, and solution design while collaborating with product, architecture, QA, DevOps, and business stakeholders.

Leads and mentors a backend engineering team while remaining hands-on with software development. Responsibilities include prioritizing and executing projects, defining technical strategy and roadmaps, coordinating cross-functional teams, guiding technical decisions, improving user workflows, and hiring, developing, and retaining engineers.