Top AWS Jobs in Toronto

Lead the design and development of complex backend systems spanning multiple teams and domains. Own architectural direction, data modeling, reliability, observability, scalability, and enterprise workflows. Translate ambiguous business requirements into maintainable designs, mentor senior engineers, influence product direction, and personally deliver high-impact backend initiatives. Work with hierarchical and relationship-heavy data, distributed systems, and technologies including Java, Spring Boot, Django, PostgreSQL, AWS, and Docker.

Leads Docebo’s global information security strategy across product, cloud, GRC, privacy, AI, and incident response. Partners with Product and Engineering on secure SDLC, threat modeling, identity controls, vulnerability remediation, and cloud security. Oversees SOC 2 and ISO 27001 compliance, security operations, customer trust, AI security governance, and executive reporting while building and coaching a high-performing security team.

Drive revenue through complex enterprise sales of cloud data security solutions. Identify customer needs, architect solutions, deliver proof-of-value engagements and technical demonstrations, and consult with executive stakeholders. Manage cross-functional resources, support partner channels, and represent the company at marketing events. The role requires cloud security, data protection, networking, database, IAM, encryption, regulatory, privacy, and technical communication expertise, with travel up to 50% within the assigned territory.

Designs and operates Lyft’s foundational networking infrastructure, including service mesh, routing, ingress and egress systems, and control planes on AWS and Kubernetes. The role focuses on scaling high-throughput distributed systems, improving observability and reliability, debugging complex production incidents across networking layers, and providing technical leadership through architecture reviews, incident response, and mentorship.

Lead enterprise architecture and solution strategy for tokenization and digital asset platforms. Define end-to-end architectures, governance, smart contract standards, custody and KMS integrations, Web3 frontends/backends, regulatory compliance, and security auditing. Mentor teams, author architectural records, and drive delivery alignment from design through production.

Administer, maintain, monitor, and optimize Microsoft SQL Server and/or Oracle databases in a federal enterprise environment. Responsibilities include installation, patching, backup and recovery, performance monitoring, access management, security auditing, SQL development, data migration, incident response through ServiceNow, documentation, disaster recovery testing, and on-call support during AWS cloud modernization.

Staff Software Engineer responsible for designing and building Stream’s high-scale platform and infrastructure. The role includes setting SLOs, leading distributed-systems decisions, developing deployment and debugging tools, improving incident response, optimizing infrastructure costs, and guiding technical direction through design reviews and RFCs. The engineer will work with Go, Python, cloud platforms, Kubernetes, databases, observability systems, and real-time workloads in a small, autonomous team.

Build and operate backend platform services for query execution, journey orchestration, data transformation, and export delivery. Design APIs and integrations with cloud data warehouses, improve reliability and observability, support real-time capabilities, participate in on-call, resolve customer and production issues, and develop automation and shared components. Mentor engineers and help build AI-powered products.

Sets enterprise-wide technical strategy as the senior-most individual contributor in Technology. Owns target architecture, agentic AI foundations, cloud migration to AWS and Databricks, data platforms, model serving, experimentation, marketplace systems, performance, resilience, security, and auditability. The role requires hands-on engineering involvement, including code reviews, proofs of concept, design reviews, and incident analysis, while influencing teams and executives without formal authority and developing staff and principal engineers.

Leads the technical and organizational direction of multiple engineering teams building Blue J’s customer-facing SaaS platform. Owns platform architecture, scalability, reliability, developer experience, and technical strategy while partnering with Product, Design, and Research. Coaches engineers and managers, guides complex system design and modernization, improves delivery practices, and connects engineering priorities to customer and business outcomes. The role also contributes hands-on to architecture, designs, and complex technical problems when needed.

Owns cloud infrastructure strategy, AWS multi-account architecture, Terraform IaC, GitLab CI/CD, Kubernetes or ECS platforms, observability, security, compliance, Cloudflare connectivity, FinOps, and governance. Designs resilient multi-region systems, leads incident response and cloud migrations, improves deployment velocity, manages infrastructure automation, and mentors engineering team members.

Design and implement cloud infrastructure and MLOps solutions for AI and ML customers. Serve as a trusted technical advisor through proofs of concept, workshops, presentations, and training. Develop infrastructure-as-code architectures, optimize GPU pipelines for performance and scalability, document technical solutions, and coordinate customer scenarios with product, support, and marketing teams.

Build full-stack marketplace features for search, ranking, and renter-facing products while supporting ML Ops infrastructure. Develop model deployment pipelines, feature stores, real-time data pipelines, monitoring, and production integrations with data scientists. Write tested code, review contributions, plan technical work, and improve system performance, reliability, and scalability. Collaborate with product and globally distributed engineering teams.

Build full-stack marketplace features and ML Ops infrastructure for search, ranking, and renter-facing products. Develop model deployment pipelines, feature stores, real-time data pipelines, and monitoring using Chalk and Vertex AI. Collaborate with data scientists to productionize models, improve system performance and reliability, write tested code, participate in reviews, plan technical work, and communicate effectively across distributed teams.

Build and maintain FinOps data pipelines, BigQuery and dbt models, cost attribution systems, forecasting and anomaly detection models, and cost-versus-revenue analytics. Identify and implement AWS and GCP savings opportunities, automate governance with Python, Terraform, and Lambda, and partner with Engineering, Finance, Product, and leadership on cloud costs, forecasting, reporting, and architecture decisions.

Build and operate full-stack trading, onboarding, payments, payouts, and internal tooling applications. Design scalable distributed systems using TypeScript, Node.js, React, and AWS; contribute to architecture, testing, observability, deployments, and production support. Partner with Product and Design, mentor engineers, improve code quality, participate in on-call rotations, resolve incidents, and maintain reliable, secure, high-performing systems.

Lead delivery and growth of Honeycomb Private Cloud, including infrastructure, tooling, operational processes, customer engagements, and cross-organizational engineering priorities. Build and develop a senior engineering team, maintain operational health and on-call practices, support enterprise security and procurement processes, and scale the product for increased demand. The role requires Kubernetes and AWS fluency, customer-facing leadership, strong prioritization, and experience operating software in private cloud, on-premises, or similar environments.

Lead Affirm’s enterprise AI security review program, threat-model AI and LLM applications, assess agentic systems and tool permissions, and design automated guardrails, controls, monitoring, and policy-as-code. Review code, prompts, configurations, vendors, and SaaS AI capabilities; develop testing and red-team scenarios; identify emerging vulnerabilities; support incident response; and lead cross-functional initiatives across Security, Engineering, Legal, Privacy, and Compliance.

Build and maintain full-stack features for secure, high-volume fintech and cryptocurrency transactions. Develop Golang and Java backend services, Node.js and TypeScript APIs, and React/Next.js applications. Integrate third-party systems, implement OAuth 2.0 authentication, work with microservices, and ensure security, performance, reliability, and observability. Contribute to architecture discussions, code reviews, technical documentation, and end-to-end feature ownership in a fully remote environment.

Design, build, and operate Supabase’s multi-region compute platform, including provisioning, orchestration, autoscaling, warm pools, resource optimization, observability, and reliability improvements. The role involves operating large Kubernetes clusters, improving infrastructure automation and architecture, responding to incidents, participating in on-call rotations, and resolving systemic platform issues. Strong Go and TypeScript skills, AWS experience, distributed systems knowledge, and cloud infrastructure expertise are required.

Lead end-to-end data science and machine learning projects, from scoping ambiguous client problems through production deployment. Build and evaluate statistical and ML models, analyze large datasets, run experiments, collaborate with engineers, create reusable tooling, communicate findings to diverse stakeholders, and mentor data scientists. The role combines hands-on data science with technical consulting and requires occasional customer on-call support.

Leads Docker’s Partner Solution Engineering organization, developing technical teams and scalable enablement programs for ISVs, cloud providers, systems integrators, and VARs. Drives partner technical readiness, solution validation, joint go-to-market initiatives, co-selling, integrations, and revenue impact. Collaborates with Sales, Product, Engineering, Marketing, and Alliances to influence roadmaps, support partner events, and establish measurable engagement and enablement processes.

Design and implement scalable, fault-tolerant security solutions protecting enterprise data across clouds, SaaS applications, and AI agents. Build agentic security capabilities, integrate large-scale third-party data sources, develop RESTful APIs and microservices, optimize distributed systems, and create secure software resilient to attacks and high-volume endpoint communication.

Designs, operates, and scales multi-region AWS infrastructure and Kubernetes clusters for large-scale autonomous-system simulation workloads. Responsibilities include Terraform infrastructure, networking, GitOps deployments, incident response, observability, IAM governance, security and compliance support, CI/CD improvements, and developer tooling. The role also supports GPU, batch, and Windows workloads on Kubernetes while driving reliability and cost optimization across production systems.

Build and scale the application security program by integrating SAST, DAST, and SCA tooling into CI/CD pipelines; define Secure SDLC processes and threat modeling practices; manage bug bounty triage and metrics; conduct Java and Python code reviews; deliver secure coding training; develop security champions; and support vulnerability disclosures and security communications.