Top AWS Jobs in Toronto

Pre-sales Solutions Architect who guides customers to design and build scalable, highly available systems using MongoDB Atlas. Works with sales to qualify opportunities, run technical discovery, deliver demos and proofs-of-value, advise on architecture and migrations, drive account strategy, generate demand, travel up to 25%, and mentor peers to ensure customer success.

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.

Named technical partner for a portfolio of financial-services customers to deepen adoption of CoreWeave's AI platform. Design, train, fine-tune, evaluate, and deploy LLM and deep-learning workloads; guide AI lifecycle, troubleshoot complex production issues, drive expansion, and represent customer needs to product and engineering. Deliver architecture recommendations, demos, workshops, and executive presentations.

Lead full-stack design and development for Capital One's travel platform, owning architecture, implementing front-end and back-end features, improving engineering tools and practices, mentoring junior engineers, and integrating with partners like Brex while leveraging cloud services and databases.

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.

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.

Designs, develops, and maintains scalable Android applications using Kotlin. Responsibilities include architecture, performance optimization, API and SDK integration, troubleshooting, testing, and collaboration with product, design, and backend teams. The role requires strong Android platform expertise, clean coding practices, familiarity with modern development tools, and effective communication.

Design, configure, develop, test, deploy, troubleshoot, and support Zafin SaaS solutions for financial institutions. Translate business and banking requirements into technical designs, integrations, APIs, workflows, data mappings, and implementation plans. Lead technical workstreams, client workshops, testing, defect resolution, deployment readiness, and production support. Provide technical direction, mentor junior consultants, manage delivery risks, and ensure solutions are scalable, secure, auditable, maintainable, and operationally ready.

Develop and maintain scalable Java applications and REST APIs using Spring Boot. Write clean, efficient code, automate tasks, test using TDD, troubleshoot systems, monitor performance, and collaborate with internal teams and vendors. Review code, validate software, apply current technologies, and contribute to product improvements. The role may also involve cloud platforms, containers, CI/CD, security protocols, UI frameworks, on-call support, and mentoring.

Lead technical strategy and deliver backend systems for search and recommendation at scale. Collaborate with PM, design, and analytics to define and execute business-impacting projects. Own operations, availability, monitoring, and on-call practices while mentoring engineers and setting code and design standards.

Own and improve the AI Social generative media pipeline: build and ship LLM-driven prompts/agent loops, choose and compose media (image, video, voice, music), collaborate with product/design/content, and deliver polished, production-quality social assets.

Software Engineer Interns will build reliable web products, scalable frontend applications, and APIs alongside Zip’s engineering team. They will collaborate with product and customer-facing teams, write maintainable code, and contribute to complex technical challenges. The Toronto-based co-op begins in January 2027 and includes mentorship, ownership opportunities, and work on AI, cloud development, and virtual card products.

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.

Provides technical leadership and hands-on software engineering for Autodesk’s developer portal and application management platform. Responsibilities include architecture, implementation, API and workflow improvements, production operations, engineering excellence, AI-assisted development, cross-team technical direction, and mentoring. The role requires designing scalable distributed systems, resolving complex production issues, influencing decisions across teams, and delivering reliable developer-facing products.

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.

Designs and deploys enterprise generative and agentic AI systems using RAG, knowledge graphs, multi-agent orchestration, context engineering, and foundation-model APIs. Builds reliable production agents with governance, observability, interoperability protocols, and scalable cloud infrastructure. Mentors developers, reviews code, supports real-time AI solutions, and ensures responsible AI, privacy, security, and compliance.

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.

Owns partner-sourced and self-generated enterprise sales motions for AI consulting engagements. Manages Anthropic and AWS relationships, qualifies leads, runs discovery through signed SOW, develops co-selling opportunities, maintains joint pipelines, and leads partner business reviews. Independently prospects and closes Financial Services and Life Sciences accounts, collaborates with delivery architects on solution scoping, and provides market intelligence to leadership and marketing. Travel of up to 40% is required.

Sources and qualifies new business opportunities across North America, builds sales pipelines, conducts outbound prospecting, leads discovery conversations, and partners with leadership to close consulting and technology services deals. The role focuses on selling AI and cloud solutions to mid-market and enterprise clients, requires independent prospecting and negotiation skills, and includes attendance at industry events and client meetings with approximately 40% travel.

Support customers by troubleshooting technical issues, analyzing and reproducing bugs, identifying root causes, and delivering fixes. Design features, write production code and unit tests, contribute to automated testing, review code, and improve engineering practices. Develop infrastructure using Terraform and Helm, while working extensively with Kubernetes, Docker, Linux, cloud platforms, microservices, databases, and networking technologies. The role requires strong communication and customer-facing skills.

Design, build, and operate the integration and data platform supporting integrations, APIs, and data movement. Drive architecture, performance, observability, testing, and mentor engineers while introducing tooling and patterns to improve reliability, scalability, and developer experience.

Design, develop, deploy, and support scalable cloud-native backend services, REST APIs, microservices, and distributed applications. Own solutions across the full software development lifecycle, including database optimization, automated testing, observability, troubleshooting, and production support. Collaborate with cross-functional teams on architecture and technical decisions, improve platform reliability and performance, and mentor engineers through code reviews, guidance, and knowledge sharing.

Design and implement CIAM backend services for registration, authentication, and account management across B2C and B2B platforms, utilizing security standards and automation practices.

Lead division-wide strategy and product architecture for MongoDB's distributed query engine. Define multi-year roadmap, own business cases and monetization, engage senior customers, mentor PMs, align cross-functional investments, and represent the product externally.