Top AWS Jobs in Toronto

Lead development of core client systems and engine-level infrastructure in Unity/C#. Diagnose and fix cross-cutting performance issues, upgrade third-party SDKs, evolve build tooling, produce design docs, scope multi-week infrastructure initiatives, mentor engineers, and drive profiling, optimization, and architecture changes to enable future features.

Build and own large-scale data ingestion services and SDKs, translate business requirements into technical designs, improve performance and reliability, provide production support, and drive engineering best practices for near real-time analytics pipelines.

Lead design and operation of Block's real-time, event-driven data systems. Build and run high-throughput streaming pipelines, turn Kafka event streams into low-latency data products, improve reliability and observability, mentor engineers, and define platform architecture and standards for projections, third-party data proxy, and graph data capabilities.

Lead end-to-end data science initiatives: design, deploy, and monitor ML/statistical models for credit risk, pricing, collections and fraud. Collaborate cross-functionally to integrate models into production, define model development standards, mentor team members, and maintain scalable ML pipelines and monitoring systems to drive measurable business impact.

Design, build, and maintain SparkSQL/PySpark data pipelines in the central data lake to ingest IoT, product, and unstructured data (video/audio). Produce reliable computed tables for analytics, model training, and dashboards; integrate external datasets; ensure high data quality and uptime; and collaborate with Data Science, ML, and cross-functional teams.

Lead detection, incident response, and digital forensics across macOS/Windows/Linux; act as Incident Commander, triage alerts, use SIEM, build investigation scripts and automated runbooks, collaborate with stakeholders on insider threat and security operations improvements.

Design, build, and operate large-scale Spark/PySpark data pipelines and the enterprise data platform. Implement data integrations, transformations (Python/SQL), monitoring, and data quality. Build MCP servers and AI-enabled tooling, optimize performance, mentor engineers, and lead cross-functional data projects to enable analytics and automation.

Lead design and delivery of scalable ML systems across the full lifecycle for recommendations, forecasting, targeting, and personalization. Collaborate with engineers and product teams, set modeling and productionization standards, mentor data scientists, guide architecture and experimentation, and apply cloud and MLOps best practices to drive measurable product and business impact.

Own and deliver high-availability, low-latency Trust & Safety systems across backend, web, and mobile. Lead engineering delivery, collaborate with product/design/analytics, improve operational metrics and on-call reliability, set code and design standards, and mentor teammates.

As a Senior Software Engineer, you will lead and support backend system projects focusing on security within Kubernetes and cloud infrastructure.

You will lead engineers to meet quarterly goals, support product development, solve complex issues, and foster talent development in your team.

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.

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.

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.

Platform-focused SRE role responsible for designing and operating multi-cloud Kubernetes infrastructure, CI/CD (Argo Workflows/ArgoCD), and onboarding/self-service tooling. Build reliable deployment pipelines, support deployment systems, collaborate across Platform Engineering, and participate in a 24/7 on-call rotation. Must work East Coast hours and drive automation to reduce toil.

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.

Design, build, and operate distributed ledger, transaction, settlement, and treasury systems. Develop durable ledgering APIs, emit trusted data for finance, maintain high-reliability services to SLOs, lead complex cross-team projects, mentor engineers, and integrate AI tooling across the development lifecycle.

Design, deploy, and maintain end-to-end ML-driven risk solutions at scale to detect and prevent fraud, abuse, and credit risk. Lead technical decisions, build ML tooling and processes, apply state-of-the-art models and third-party data, investigate emerging risk patterns, and collaborate with platform and cross-functional teams to ensure reliable real-time model operation.

Build automated reliability and self-healing platform tooling to protect production at scale. Improve incident management, reduce alert noise, evolve observability (monitoring, SLOs, performance detection), and develop AI-driven operational automation. Partner with product teams to diagnose reliability gaps, drive incident prevention, and champion operational excellence and best practices across engineering.

Design, build, and operate high-throughput, fault-tolerant ledger and settlement systems of record. Develop durable ledgering APIs, settlement orchestration, and treasury automation. Ensure data contract integrity for downstream finance, run production systems to SLOs, debug multi-layer issues, lead and mentor engineers, and use AI tooling to reduce operational toil.

Lead the Pipeline team to own strategy, execution, and operations for MongoDB’s end-to-end software delivery platform. Drive reliability, scalability, security, CI/CD and release systems, developer experience, telemetry, and organizational growth while partnering cross-functionally and serving as a senior escalation point.

Design, maintain, and extend abuse detection and prevention systems for GitLab's SaaS platform. Serve as a core maintainer of a Ruby on Rails monolith, build anomaly detection and agentic AI mitigations, automate abuse response, collaborate with peer engineering and security teams, and produce runbooks and operational documentation.

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 and mentor multiple software engineering teams to build scalable, resilient full-stack travel and expense solutions. Drive architecture, hands-on development, CI/CD, automated testing, security, and integration with partners (e.g., Brex). Partner with product and business stakeholders to deliver high-availability customer and enterprise web applications.