Top AWS Jobs in Toronto

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

As a Senior Software Engineer, you will enhance data pipelines, integrate with EHR systems, and mentor fellow engineers while ensuring scalable and reliable solutions for health technology.

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.

As a Principal Data Engineer, you will design and implement LLM, AI-powered security data platforms, mentor engineers, and drive the adoption of data solutions across teams.

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.

As a Senior Software Engineer on the Cash App Banking team, you will lead the design, execution, and delivery of banking features, collaborating across teams to enhance the user experience.

Design and implement a distributed query optimizer for MongoDB: research query systems, architect and build features to improve query performance, collaborate across teams, mentor engineers, and drive long-term roadmap and production-quality changes in a large C++ codebase.

The role involves leading financial analysis for technology spend, designing data models, developing visualizations, and ensuring data quality, while collaborating with internal stakeholders across the company.

Lead design and delivery of scalable, secure solution architectures for Capital One's travel portal. Create ADRs and HLDs, participate in governance, maintain capability catalogs, evaluate new technologies, collaborate with stakeholders, mentor teams, and ensure solutions meet architectural and security standards in a regulated environment.

Lead full-stack design and development for Capital One's travel portal across front-end and back-end. Own architecture, apply HLD methodology, establish engineering best practices, mentor junior engineers, and improve developer experience while working through the SDLC on fault-tolerant, multi-platform systems.

Lead and mentor multiple engineering teams to deliver full‑stack travel portal features. Own craftsmanship, reliability, scalability, and security practices. Participate hands‑on in development, influence product strategy, and drive talent planning, succession, and cross‑team collaboration to reduce fraud and improve customer booking experiences.

Drive CI efforts, ensuring reliable and scalable development pipelines, while mentoring other engineers and improving developer productivity through tooling and automation.

Design, build, and operate enterprise-scale multi-cloud infrastructure (Azure primary, GCP, AWS exposure). Own landing zones, Terraform modules, production AKS/GKE Kubernetes, Vault secrets, hybrid networking, CI/CD pipelines, monitoring, DR, and automation (Ansible, Python/Bash). Mentor engineers, document runbooks, and collaborate with security, application teams, and leadership to ensure secure, reliable, cost-optimized cloud platforms.

Design, deploy, and maintain end-to-end ML risk solutions at scale to detect and prevent fraud, merchant risk, and credit loss. Partner with cross-functional teams, lead technical decisions, build ML tooling, monitor models in production, and investigate emerging abuse patterns to improve detection and decisioning.

Lead and grow a Maps & Search engineering team responsible for the home search experience across web and mobile. Stay hands-on with coding and architecture, scale a high-throughput search platform (~1B monthly requests), improve relevance and latency, integrate AI/LLMs into discovery and ranking, shape product roadmap, and own delivery, SLOs, and incident response.

Lead design and delivery of Workday integrations and AI-driven HR solutions. Architect secure cross-platform integrations (Workday, ServiceNow, ATS), leverage AI/LLMs and agentic workflows, manage agile delivery, vendor relationships, build business cases, and ensure high-quality testing and implementation of P&C technology.

Manage and scale Enverus' global AWS infrastructure, automate deployments and CI/CD, ensure high uptime, collaborate with developers to enable zero-downtime releases, participate in on-call rotations, and improve operational practices.

Design, build, and operationalize agentic LLM systems and AI agents across cloud providers. Implement RAG with vector DBs, train/deploy models, integrate agents with enterprise APIs, and run MLOps/LLMOps with observability and Responsible AI controls in regulated environments.

As a Cloud Platform Analyst, you will provide technical expertise, ensure system availability, and support various technologies across departments while communicating effectively with leadership and teams.

Build and productionize LLM-powered and agentic AI systems (RAG, fine-tuning, prompt engineering) and web app integrations. Lead design, set best practices, monitor and iterate on performance, mentor engineers, and partner with business and governance to deliver scalable, reusable AI solutions in cloud environments.

Lead the design and development of backend systems, APIs, and microservices for next-gen applications, ensuring scalability and performance.

Lead and grow the data engineering function, driving Snowflake migration and EDW modernization. Deliver scalable, secure batch and real-time data platforms, embed MLOps/DataOps, CI/CD, and IaC, enforce PCI DSS and data quality, manage onshore/offshore teams, and partner with architecture, governance, security, and product stakeholders to meet enterprise data needs.

Lead administration and maintenance of data center, network, server, and cloud IaaS infrastructure (Windows and Linux). Perform upgrades, patches, backups, DR planning and testing. Act as Tier 2/3 escalation, provide after-hours support, monitor security events, manage identity/access, SAN/cloud storage, and messaging systems. Drive improvements, document processes, mentor junior staff, and support Azure/AWS/VMware virtualization and cloud networking.

Participate in application systems analysis and development, design and implement enhancements, test and debug, identify security vulnerabilities, support cloud-native and microservices solutions, consult with stakeholders, mentor junior analysts, and contribute to CI/CD and containerized deployments.