Top AWS Jobs in Toronto

Lead strategic cloud migration planning and stakeholder discussions; assess on-prem VMware environments; define target cloud architectures and governance; design cloud network and security (Palo Alto); oversee hands-on migration of VMs and complex workloads to ROSA/AWS/Azure/GCP; implement containerization and OpenShift migration strategies.

Design, administer, and optimize Postgres databases on cloud-native platforms. Triage and remediate production database incidents, manage replication/backups, evaluate schemas and queries for performance, and build repeatable DB architecture using IaC and GitOps for AWS/GCP Kubernetes environments.

Lead technical pre-sales for enterprise contact-centre AI deals: perform discovery and architecture assessments, design solutions, run demos and POCs, author RFP/RFI technical responses, engage technical stakeholders, and ensure delivery readiness and competitive positioning across assigned region.

As a DevOps Engineer, you'll automate backend infrastructure, streamline deployments, manage cloud services, and enforce security best practices for scalable and reliable systems.

The DevOps Engineer - Mobile will design and maintain CI/CD pipelines for iOS and Android apps, automate workflows, manage cloud infrastructure, and enforce security best practices.

The DevOps Engineer will design, automate, and maintain backend infrastructure, streamline deployments, manage cloud environments, and monitor systems to ensure reliability and cost-effectiveness.

As a DevOps Engineer Mobile, you will enhance CI/CD pipelines for iOS and Android, automate integration workflows, manage cloud infrastructure, and ensure security in mobile app deployment.

Lead a team of Python developers and statistical analysts to build, deploy and integrate Hyperexponential pricing solutions for commercial lines. Partner with actuaries, underwriters and IT to gather requirements, prioritize work, mentor engineers, apply software engineering best practices (TDD, modular code, Git), and drive delivery into production.

Design, build, and own CI/build/test pipelines for a compiler/runtime/simulator stack; scale and parallelize large test suites, manage heterogeneous CI runner fleets and scarce hardware, implement perf-regression baselines and observability, and define hermetic, safe-by-default build and test standards to maximize developer velocity.

Serve as the Tier 3 technical escalation owner: diagnose and fix code-level production issues across Node/TypeScript/AWS systems, deploy fixes, build runbooks, analyze incident trends, drive process improvements, and mentor the Application Support team.

The Solutions Engineer will provide technical expertise for customer implementations and collaborate with various teams to improve the product, focusing on integration through APIs and Infrastructure as Code.

The Senior Product Manager will manage data quality features for the Compass Platform, collaborating with teams to enhance data integrity and deliver product features. Responsibilities include designing specifications, managing backlogs, and ensuring product releases align with customer needs.

Define technical visions and architecture for products, platforms, and enterprise systems. Evaluate emerging technologies, lead proofs of concept, and design scalable cloud-native, distributed, and hybrid solutions. Establish engineering standards, assess technical risks, conduct architecture reviews, and guide modernization initiatives. Collaborate with customers and stakeholders, support engineering teams through complex decisions, mentor technical leaders, and contribute to product roadmaps, DevOps practices, and technology strategy.

Build and scale backend systems for Knak’s AI-powered marketing automation platform. Develop Laravel APIs, Python and Node.js AI microservices, and scalable AWS infrastructure. Optimize MySQL databases, support observability and performance, maintain code quality through testing and reviews, collaborate cross-functionally, contribute to architecture decisions, and mentor engineers.

Develop automated tests and genomic data analysis pipelines to validate code deployments, detect errors, and ensure the accuracy and integrity of clinical-grade sequencing workflows. Collaborate with software engineers and variant curators to improve bioinformatics processes and prevent production issues. The role combines bioinformatics expertise, large-scale genomic data analysis, software quality engineering, and test automation in a fully remote genomic health platform.

Develop and improve a SaaS platform by designing, developing, and deploying scalable full-stack features. Responsibilities include contributing to architecture and technical decisions, ensuring application quality and security, participating in Agile planning and estimation, conducting code reviews, improving CI/CD practices, and using AI tools to enhance development productivity. The role requires collaboration, technical problem-solving, and continuous learning in a fully remote environment.

Develop and deploy features for a SaaS platform using full-stack development practices. Responsibilities include architectural contributions, application quality and security, Agile sprint participation, code reviews, CI/CD improvement, collaboration, and use of AI tools to enhance development productivity. The role requires Node.js and React expertise, software development experience, Git proficiency, and bilingual French-English communication.

Embed with client engineering teams to deploy, integrate, and scale enterprise generative AI solutions. Build agentic systems, train and serve LLMs with Vertex AI, integrate models with BigQuery/AlloyDB/Spanner, implement streaming inference pipelines, and ensure operational reliability while collaborating with stakeholders to translate business goals into production-grade architectures.

Design, build, and maintain scalable, performant, and accessible front-end features and dashboards for non-human identity governance. Collaborate with design, product, and backend teams to integrate APIs, optimize data flows, maintain component libraries and design systems, champion accessibility and performance, write well-tested code, and mentor engineers.

Lead architecture and technical direction for the NHI Governance domain, owning complex server-side initiatives to discover, assess, and remediate non-human identities across cloud and on-prem environments. Define standards, interfaces, and contracts; drive quality, security, observability, performance; mentor senior engineers; and partner with product and design to align technical strategy with business goals.

Lead and grow an engineering team to build a platform-native NHI Governance module and scalable, secure services for BeyondTrust's SaaS products. Own delivery, architecture, and quality; partner with product, design, and platform teams; adopt AI-assisted development tools; mentor engineers; and solve identity and security challenges across cloud and on-prem environments.

Lead end-to-end development and production ownership of AI-driven backend capabilities and LLM/voice agent workflows. Improve reliability, observability, security, and operational maturity while iterating quickly from customer feedback and scaling team delivery.

Lead a ~10-engineer team owning the Content Tools platform: design, implement, test, deploy, and operate API-first tooling and governance. Establish contribution standards, CI/CD evaluation pipelines, IR evaluation frameworks, observability, and SLOs. Coordinate cross-team integration with agentic AI workflows and ensure reliability, discoverability, and licensing controls for multi-tenant content access.

Design, operate, and automate reliable infrastructure for large-scale AI training and inference. Own networking, compute, storage, GPU/server configuration, and operational tooling. Build monitoring, alerting, runbooks, incident response, capacity planning, provisioning automation, and collaborate with ML and platform teams to improve performance and reliability.

Lead design, build, and operate scalable Generative AI systems (LLM apps, RAG pipelines, multi-agent systems) in production using Databricks and cloud infrastructure. Own CI/CD, monitoring, evaluation frameworks, optimize retrieval/generation, mentor engineers, and influence product roadmap.