Top AWS Jobs in Toronto

Own the architecture, scalability, security, reliability, and technical direction of critical AWS-based platform domains. Design distributed, event-driven backend services, data models, APIs, multi-tenant systems, and AI/ML infrastructure. Lead cross-team initiatives from design through release, establish engineering standards, mentor engineers, improve observability and delivery practices, and guide modernization while maintaining product quality and cost efficiency.

Designs, provisions, and operates secure, scalable cloud environments supporting AI, ML, LLM, and data engineering solutions. Builds Infrastructure as Code, DevOps pipelines, containerized and serverless deployments, observability platforms, and compliance guardrails. Reviews infrastructure designs, creates operational documentation, and leads cloud infrastructure decisions on client engagements. Collaborates with architects, engineers, client IT, and security teams across development and production environments.

Own the end-to-end architecture of NetBrain’s AWS-based SaaS platform. Define multi-tenancy, infrastructure-as-code, Kubernetes, event-driven messaging, persistence, observability, security, and compliance strategies. Establish architecture standards, ADRs, and documentation while guiding multiple engineering teams, mentoring senior engineers, and communicating technical tradeoffs to product and executive stakeholders.

Drive new business and revenue growth for AWS-focused consulting services. Responsibilities include prospecting SMB clients, building relationships with decision-makers and AWS representatives, conducting needs assessments, presenting tailored AWS solutions, managing the full sales cycle, negotiating contracts, forecasting sales, and maintaining client partnerships. The role also requires knowledge of AWS funding programs, market trends, and competitor activity.

Design, build, and operate Supabase’s global edge and networking infrastructure, including routing, load balancing, DNS, WAF, TLS termination, CDN integrations, and observability. Improve latency, reliability, security, and cost efficiency across cloud regions. The role includes developing automated routing systems and CI/CD, troubleshooting distributed systems, participating in on-call and incident response, and collaborating with infrastructure and product teams.

Own the company’s AI-powered quality and release infrastructure as its first dedicated hire. Build agent-run test harnesses, LLM graders, regression coverage, release gates, fresh-install and upgrade verification, and natural-language UAT. Manage CI health, artifact publication, deployment pipelines, credentials, certificates, and staging environments. Write production Python code, convert escaped bugs into regression tests, and provide trusted release-readiness evidence through dashboards, runbooks, retrospectives, and operating policies.

Build and register domain-grounded data agents over governed Databricks and Snowflake datasets. Perform lakehouse migrations to open formats such as Apache Iceberg, curate catalogue metadata, and support data-contract workflows. Partner with business stakeholders and subject-matter experts to validate data assets. Implement advanced SQL and PySpark pipelines, orchestration, data quality, observability, lineage, masking, and row- and column-level security. The role also supports vector search, embeddings, cloud data onboarding, and regulated-domain use cases.

Designs and maintains scalable backend services and APIs, develops customer-driven features, resolves complex production issues, and improves system performance, reliability, and scalability. The role contributes to architecture, cloud solutions, databases, high-volume data processing, CI/CD, testing, and Agile practices while collaborating with Product, Sales, Engineering, Customer Success, and customers.

Lead backend architecture and development across the full SDLC for Capital One's travel platform. Own technical design, build fault-tolerant systems, improve developer experience, establish engineering best practices, and mentor junior engineers while collaborating with cross-functional stakeholders.

Lead DevOps architecture and technical strategy across engineering teams. Design and optimize enterprise CI/CD pipelines, highly available AWS and Azure cloud environments, Kubernetes and Docker platforms, and Infrastructure-as-Code solutions using Terraform and CloudFormation. Improve automation, observability, reliability, security, disaster recovery, and operational excellence while mentoring engineers and partnering with Engineering, Product, Security, and Operations teams across a global SaaS ecosystem.

Lead enterprise-wide agentic AI architecture, standards, reusable platform components, evaluation frameworks, and production implementations across SaaS products. Build secure, observable AI systems using Azure, Anthropic, Python, Java, RAG pipelines, model routing, and orchestration. Identify high-value use cases, optimize cost and performance, establish responsible AI governance, mentor engineers, and guide cross-functional teams from prototypes to measurable business outcomes.

Lead architecture and implementation of AI-first backend and orchestration systems for Audit Suite. Drive scalable, reliable AI workflows (LLM integration, retrieval, vector stores), mentor engineers, set technical direction, and collaborate across product, design, and ML to deliver auditable, high-throughput document-centric solutions.

Lead technical strategy and execution for a backend ledger team building audit-grade, highly available financial systems. Drive architecture, operational reliability, monitoring, code quality, mentorship, and cross-functional collaboration to deliver accurate, scalable ledger and accounting functionality.

Design, build, and scale real-time and batch data infrastructure and pipelines (Kafka, Databricks, Snowflake) to power analytics, reporting, and AI-powered data experiences. Drive data modeling, governance, observability, and best practices while partnering with cross-functional teams and mentoring engineers.

The Senior Security Engineer will secure cloud infrastructure across various services, develop security policies, manage exceptions, and respond to security alerts while collaborating with teams to eliminate security risks.

Lead architecture and hands-on development for a zero-to-one, real-time content platform. Build scalable backend services, collaborative editing and synchronization systems, frontend visual editing experiences, APIs, publishing workflows, and developer extension layers. Partner with product and design, establish engineering standards, make build-versus-buy decisions, mentor engineers, and engage customers to validate architectural choices.

Lead the Rainmaker Ad Server engineering domain, setting technical direction and roadmap for high-scale, low-latency advertising systems. Oversee architecture, reliability, observability, incident management, modernization, and cross-functional delivery with Product, Data Science, ML, and Ads Operations. Build and develop engineering managers and senior engineers while improving execution, scalability, monetization efficiency, and operational excellence across business-critical distributed systems.

Supports MySQL databases, Linux servers, and AWS infrastructure for high-volume gaming platforms. Responsibilities include database administration, monitoring, backups, restores, disaster recovery, replication, patching, performance troubleshooting, production support, and collaboration with development, QA, DevOps, infrastructure, and security teams. The role participates in an on-call rotation after training.

Develop and support full-stack applications for OTC derivatives and Markets Technology. Responsibilities include feasibility analysis, system design, coding, testing, implementation, user support, security improvements, risk assessment, and advising junior analysts. The role requires Java-based REST API development, JavaScript or React proficiency, TDD, clean code, algorithms, SQL, and independent work in a fast-paced financial technology environment.

Designs and reviews security controls for multi-cloud architectures, applications, APIs, workloads, and data flows. Partners with cloud, network, identity, security operations, and application teams to assess risks and implement secure design patterns. Advises on Zero Trust, IAM, segmentation, encryption, monitoring, perimeter controls, and cloud-native security capabilities. Documents findings, exceptions, remediation plans, and governance guidance while communicating risk and priorities to technical and leadership stakeholders.

Own the roadmap and product strategy for DigiCert’s DNS and digital trust portfolio. Translate customer needs, market trends, telemetry, and technical capabilities into requirements, metrics, and secure cloud-native products. Partner with engineering, security, architecture, sales, marketing, and customers to deliver API-first infrastructure, validate concepts, launch products, and drive adoption. The role emphasizes trusted discovery, policy enforcement, reliability, security, experimentation, and emerging agentic use cases.

Join the Platform squad to build and maintain a Typescript-based serverless microservices platform on AWS. Improve cloud availability, security, CI/CD, public APIs, data pipelines, internal DevOps libraries, and developer tooling while collaborating across product and engineering teams.

Oversee the design, operation, security, scalability, and performance of on-premises and cloud IT infrastructure. Lead infrastructure teams, manage networks, servers, storage, virtualization, cloud platforms, vendors, budgets, and technology projects. Develop disaster recovery and business continuity plans, conduct security audits and testing, maintain compliance documentation, support audits, and coordinate infrastructure upgrades, migrations, and deployments.

Leads Versapay’s enterprise data strategy, architecture, governance, quality, accessibility, and AI readiness. Builds unified data infrastructure, semantic models, catalogs, asset registries, and governance standards while enabling secure internal and commercial data products. Partners with Product, Engineering, Commercial, Finance, and Legal, and leads the Data Platform Team. Owns data maturity roadmaps, warehouse cost management, AI infrastructure readiness, and executive-level data strategy.

Lead strategy, architecture, development, integration, and full lifecycle implementation of Conga CPQ, Turbo Price, Digital Commerce, and PROS Pricing solutions on Salesforce. Establish engineering standards, conduct code reviews, mentor developers, evaluate technologies, resolve complex issues, and ensure scalable, stable systems. Collaborate with architects, technical leads, cross-functional teams, and third parties while managing estimates, dependencies, risks, Agile delivery, and AI-enabled Agentforce capabilities.