Top AWS Jobs in Toronto

Build and operate end-to-end consumer-scale features for Life360’s Verticals team, initially focused on Aging in Place. Work across Java and Spring Boot backend services, Kafka, AWS, and native iOS and Android applications. Use AI tools and agentic workflows throughout development, define AI-native engineering practices, contribute to architecture and reviews, participate in on-call response, mentor teammates, and ensure reliability, accessibility, and member impact.

Develop and lead scalable backend SaaS services using Go, Node.js, AWS, Kafka, PostgreSQL, and NoSQL databases. Responsibilities include system architecture, event-driven workflows, API integrations, data modeling, testing, CI/CD, observability, incident response, technical roadmaps, production support, and mentoring. The role owns complex initiatives end to end and drives engineering standards, reliability, performance, and maintainability across distributed systems.

Supports SOC operations through security alert monitoring, threat analysis, vulnerability research, incident-response triage, security-tool lifecycle management, automation scripting, KPI reporting, and documentation. The intern works with SIEM, EDR, network logs, cloud environments, operating systems, and security technologies while developing Python or PowerShell scripts. The role is a four-month hybrid co-op in Toronto focused on gaining practical cybersecurity operations experience.

Own product features end to end, from discovery and technical design through deployment and iteration. Build across frontend applications, APIs, backend services, and integrations while contributing expertise in either frontend or backend engineering. Partner with Product, Design, QA, and Engineering to make scalable technical decisions, improve testing and delivery practices, and support production software. Mentor engineers through reviews, pairing, technical discussions, and knowledge sharing.

Provides Tier 2/3 enterprise network operations and support for managed-service clients. Responsibilities include troubleshooting routing, connectivity, SD-WAN, VPN, and firewall issues; configuring Fortinet, Aruba, and Cisco environments; managing tickets, incidents, changes, and after-hours escalations; conducting network assessments; supporting upgrades and client onboarding; and contributing to ITSM-based process improvement and automation.

Plans and executes infrastructure penetration tests, cloud security assessments, Active Directory reviews, red team operations, and adversary simulations across on-premises, hybrid, and cloud environments. Identifies and validates vulnerabilities, develops attack scenarios, prepares technical reports, presents findings, advises clients on remediation, and contributes to offensive security methodologies, tooling, automation, research, and training.

Designs, builds, and deploys production-grade data engineering, analytics, GenAI, and agentic AI solutions for enterprise clients on Databricks. Responsibilities include Lakehouse architecture, data pipeline development, AI/ML workflows, RAG and natural-language analytics solutions, cloud migration, legacy BI modernization, performance optimization, technical workshops, consultative discovery, and cross-functional leadership with clients and Databricks teams.

Own cloud security architecture across AWS, Kubernetes, and delivery infrastructure. Lead EKS hardening, network segmentation, identity and secrets controls, container supply-chain security, CI/CD protections, and AI workload security. Translate Wiz findings into enforced controls, guide cross-team architecture decisions, mentor security engineers, contribute to hiring, and participate in on-call operations.

Own the product vision, strategy, and execution for MongoDB Atlas Infinite, a distributed cloud database platform. Lead cross-team decisions spanning compute, storage, migration, interoperability, readiness, customer experience, monetization, and adoption. Discover new customer opportunities, guide preview-to-GA progress, establish research and execution standards, resolve complex product issues, align executives and go-to-market teams, and mentor product managers.

Designs and implements conversational AI solutions using Dialogflow CX, CCAI technologies, cloud platforms, and telephony or CRM integrations. Leads client architecture, requirements gathering, conversational flow design, technical documentation, governance, and solution delivery. Collaborates with executives, architects, engineers, and business stakeholders, while mentoring team members and evaluating emerging generative AI capabilities. The role is remote and requires up to 10% travel.

Build and own cloud security controls across AWS, GCP, and Cloudflare, including workload identity, least-privilege IAM, secrets management and rotation, network boundaries, detections, incident response, CI/CD security, and infrastructure-as-code controls. Partner with platform and product engineering teams, assess vendor access, improve security posture, document response procedures, and participate in security on-call. This is a hands-on onsite role requiring production cloud security ownership.

Own and scale Meshy’s public API and developer platform, including the MCP Server, CLI, plugins, documentation, and agentic workflows. Build secure, reliable, high-performance backend systems; improve API and developer experience; collaborate with model and infrastructure teams; operate databases, caches, queues, and Kubernetes services; and incorporate developer and enterprise feedback into the platform roadmap.

Own Arena’s cloud infrastructure architecture across hosting, compute, networking, security, and data pipelines. Define workload strategies using Kubernetes, serverless, edge platforms, and durable execution systems. Establish identity, secrets, infrastructure-as-code, reliability, monitoring, incident response, and cost controls. Partner with product, research, data, and security teams while mentoring and helping grow the infrastructure organization. Experience supporting AI infrastructure, data platforms, cloud security, or fast-growing startups is advantageous.

Own Supabase’s cloud and SaaS vendor relationships, including negotiations, renewals, procurement governance, spend visibility, reporting, and optimization. Build the procurement and FinOps function, develop cost dashboards and governance standards, drive savings through right-sizing and consolidation, and coordinate cloud efficiency initiatives. Manage a distributed team, roadmap, intake, and stakeholder alignment while partnering with Finance, Engineering, Legal, and vendors.

Lead the design, deployment, and operation of scalable AI/ML models and generative AI applications. Manage and mentor distributed engineering teams, own the AI capability roadmap, collaborate with product and engineering stakeholders, and align technical delivery with business goals. Oversee model monitoring, performance optimization, governance, and responsible AI practices across enterprise systems supporting e-commerce and payments.

Designs and scales AI-powered workflows across sales, marketing, and Customer Success. The role connects business strategy, analytics, and engineering to build data enrichment, lead scoring, routing, summarization, sales intelligence, and revenue automation solutions. Responsibilities include developing Python scripts, APIs, SaaS integrations, internal tools, and governed AI infrastructure while partnering with RevOps and GTM leaders to prioritize high-impact use cases.

Own the enterprise Dynamic and Runtime Application Security program across DAST, IAST, API, and runtime defenses. Lead API discovery, posture management, CI/CD security automation, and protection for cloud-native and AI/LLM applications. Integrate security signals, prioritize vulnerabilities, advise engineering and product teams, and secure multi-language applications across AWS, Azure, and GCP environments.

Build and maintain scalable automated testing and release frameworks across web, mobile, and API layers. Lead quality engineering practices, root cause analysis, fast feedback loops, and AI-assisted testing workflows. Collaborate with Product, Design, Customer Support, and engineering stakeholders to refine acceptance criteria, unblock teams, and support reliable rapid releases.

Build and maintain scalable automated testing and release frameworks for Joist’s web, mobile, and API products. Lead quality automation, root cause analysis, fast feedback cycles, and testing practices across teams. Collaborate with Product, Design, Customer Support, and Engineering to refine acceptance criteria and resolve technical issues. Apply AI and agentic tools such as Claude to improve software development and quality workflows.

Designs, builds, secures, and operates governed agentic AI capabilities for security engineering. Develops AI workflows, applications, integrations, retrieval patterns, and automation using Python, APIs, CI/CD, containers, and enterprise platforms. Defines agent controls, permissions, approvals, auditability, rollback, and emergency stops. Applies secure SDLC practices, implements operational telemetry, and partners with security, governance, architecture, platform, and operations teams to productionize validated solutions.

Build and deploy AI-powered solutions for enterprise and campus customers. Scope customer environments, prototype agentic AI solutions, design secure multi-tenant and hybrid architectures, and productionize validated solutions. Responsibilities include backend engineering, cloud infrastructure, data engineering, IAM, encryption, secure networking, CI/CD, observability, and production support. The role is highly customer-facing, involving executive discovery, live demonstrations, go-live support, and regular domestic and occasional international travel.

Provides Level 2 bilingual technical support for a SaaS credentialing platform serving higher education and international customers. Responsibilities include troubleshooting complex issues, monitoring logs, modifying templates, testing fixes, coordinating with development and SRE teams, documenting solutions, translating Canadian French materials, and improving support processes. The role requires fluent English and French, SQL and database knowledge, application and server log analysis, strong customer service, and technical problem-solving skills.

Design, build, operate, and maintain scalable web applications and cloud-native services supporting security operations. Collaborate with UX, product, and engineering teams to deliver customer-impacting solutions. Work across AI, big data, cloud, and web technologies while addressing scalability, reliability, performance, latency, throughput, and cost efficiency. Deliver production systems end-to-end using modern programming languages, containerized infrastructure, microservices, and CI/CD practices.

Build and evolve foundational core platform services, including access control capabilities. Responsibilities include architecting secure backend software, solving complex technical problems, participating across the software development lifecycle, supporting CI/CD and deployment, mentoring developers, conducting code reviews, and collaborating across engineering teams. The role requires scalable, highly available services deployed with AWS and Kubernetes, along with use of AI-assisted development tools.

The IT Security Consultant designs, implements, and assesses cybersecurity controls across on-premises and cloud environments. Responsibilities include threat modeling, vulnerability management, incident response, digital forensics, network and cloud security, IAM, DevSecOps, data protection, security testing, and risk reporting. The role collaborates with architecture, GRC, operations, engineering, and business stakeholders to deliver security projects, mitigate risks, improve controls, and strengthen the organization’s cybersecurity posture.