Top AWS Jobs in Toronto

Design and document enterprise Windows infrastructure standards, create PowerShell and Ansible automation/playbooks, serve as Level 3 escalation for complex Windows issues, partner on security/hardening and compliance, mentor support teams, and collaborate with build/operations/network/security teams to implement standards and automation in a financial services environment.

Design and deploy scalable network architectures in cloud environments, manage hybrid connectivity, optimize performance, and ensure compliance with security standards.

Owns GitLab’s enterprise pricing, packaging, monetization, and commercialization strategy. Develops pricing programs, enterprise agreements, bundling, channel and cloud marketplace structures, discounting frameworks, and competitive deal plays. Partners with Product, Sales, Finance, Marketing, Deal Desk, Revenue Operations, and partners to implement scalable commercial programs. Creates pricing enablement materials, makes data-backed recommendations, influences senior stakeholders, and documents decisions in an asynchronous, globally distributed environment.

As a Staff Software Engineer on the Cash App Banking team, you will lead technical strategy, collaborate on decisions, manage large features, and mentor other engineers to enhance their skills in creating innovative banking solutions.

Build and operate scalable backend services for an agentic AI legal platform. Responsibilities include asynchronous message processing, data pipelines, REST APIs, authentication and authorization, PostgreSQL schema optimization, search and vector storage integration, observability, automated testing, CI, technical design, and production on-call support.

Design, deploy, and operate production-grade Generative AI agents and GenAI workflows for clinical trial optimization. Build scalable cloud infrastructure, automate via IaC and CI/CD, integrate LLM routing and monitoring (latency, token usage, hallucination detection), and collaborate with AI engineers and data scientists to move models from research to reliable production services.

Conduct manual penetration testing, secure code reviews, and SAST triage across web applications, APIs, and AWS infrastructure. Develop AI-assisted security tooling, define testing approaches for LLM applications and agentic systems, and review AI-generated software before production. Communicate vulnerabilities, risks, and remediation priorities to engineering teams while improving secure SDLC practices.

Lead the architecture and development of scalable data platforms and distributed processing systems. Establish enterprise data governance, quality, privacy, compliance, schema management, and lifecycle standards. Drive resilient, automated, and observable data pipeline strategies; evaluate technologies; review complex architectures; collaborate with business and technology stakeholders; and mentor data engineers in stream processing, data modeling, and MLOps.

Build and operate GRC data pipelines, integrations, policy-as-code, continuous control monitoring, evidence automation, and agentic AI workflows. Normalize security data from diverse systems, create auditable evaluation harnesses, govern AI systems, and define technical direction across teams. Partner with security governance, compliance, and engineering groups to transform manual governance processes into scalable products.

The Full Stack Engineer will design, build, and maintain scalable web applications, impact customer onboarding and integrations, write and review code, and support technical improvements.

Design, implement, and maintain scalable backend systems for campaign creation, targeting, content assembly, scheduling, and handoff to delivery. Ensure reliability, observability, and operational excellence; own features end-to-end, mentor junior engineers, and drive extensible, fault-tolerant distributed architectures.

Build and own core components of an LLM-powered agent platform: orchestration, tool integrations, APIs, knowledge/memory infrastructure, trust & safety, and evaluation tooling. Partner with Operations to translate workflows into agent capabilities, mentor teammates, and ship production-ready, scalable AI-native systems.

Designs and manages scalable data integration pipelines, governance controls, semantic enrichment, and orchestration systems for enterprise AI and analytics. Builds real-time data flows, APIs, connectors, RAG and embedding pipelines, vector database integrations, monitoring, audit trails, and AI guardrails. Partners with engineers, governance teams, and business stakeholders to make enterprise data secure, explainable, reusable, and ready for agentic AI workflows.

Owns the organization’s cloud and identity platform domain across Azure, AWS, Entra ID, Active Directory, hybrid identity, and Microsoft 365. Defines architecture, standards, security controls, governance, reusable patterns, cost management, and platform roadmaps. Partners with business, application, security, operations, and architecture teams; guides SMEs, resolves complex technical decisions, and ensures scalability, reliability, resilience, access integrity, and efficient platform consumption.

Build tools and infrastructure for training language and multi-agent models in interactive environments; research and implement advances in language modeling and reinforcement learning; contribute to publications and open-source projects.

Owns architecture for a live production replatform of a regulated mobile application from native iOS and Android to React Native. Leads Discovery and Architecture phases, authors Architecture Decision Records, chairs client architecture forums, runs SDK compatibility spikes, defines Jenkins CI/CD architecture, and guides engineering patterns. Requires deep React Native New Architecture experience, native module development, mobile identity and payment integrations, push notifications, deep links, AWS regional deployment, migration planning, and regulated Canadian-sector delivery experience.

Lead the FinOps engineering team to design and implement backend services, cost-optimization tooling, data pipelines, APIs and dashboards, mentor engineers, and partner across engineering, finance, and product to drive cloud and vendor cost efficiency.

Lead the evolution of the recommendations engine system into a scalable distributed architecture, ensuring production stability and performance while mentoring engineers and collaborating with ML teams.

The Senior Data Engineer will design and maintain streaming data pipelines, develop analytical databases, and ensure data system reliability while collaborating with teams across the organization.

Build and own production systems for Faire’s marketing organization, including landing pages, audience synchronization, campaign automation, paid media feeds, data layers, and recommendation tooling. Write production code, operate services end to end, participate in on-call, and integrate AI agents with evaluations, monitoring, and defined failure modes. Partner directly with marketing teams to turn ambiguous needs into scalable self-service capabilities.

Build and scale data platforms, ETL pipelines, data lakes, warehouses, feature stores, and orchestration tooling. Integrate clickstream, relational, and unstructured data using Databricks and AWS. Partner with data scientists, ML engineers, product managers, and business stakeholders to support analytics, predictive modeling, and data-driven decisions. Maintain production systems, automate testing and monitoring, and communicate technical roadmaps and challenges.

Lead software development for Invoice Simple’s growth platform, providing technical guidance, mentoring engineers, refining product roadmaps, implementing and shipping scalable features, and promoting high-quality architecture, testing, security, and maintainability. The role uses TypeScript, React, Node.js, PostgreSQL, MongoDB, and cloud technologies while collaborating with product stakeholders and supporting continuous delivery.

Develop and deploy production-grade machine learning and AI solutions for fleet analytics, logistics optimization, and operational decision-making. Build batch and real-time pipelines, forecasting and anomaly detection models, LLM and RAG applications, MLOps workflows, analytical data models, and stakeholder dashboards using Google Cloud and streaming technologies. Collaborate cross-functionally to translate business needs into scalable data science solutions.

Develop and optimize high-performance .NET Core microservices in a distributed system of more than 100 services. Responsibilities include PostgreSQL optimization, service communication, observability, resilience, CI/CD, deployment strategies, troubleshooting, performance profiling, and architecture collaboration. The role partners with DevOps, QA, and frontend teams to maintain scalable, reliable backend services.

Lead technical strategy and solution architecture for Microsoft partners across Azure and other cloud technologies. Guide architecture design sessions, proof-of-concepts, MVPs, migrations, and cloud adoption initiatives. Run technical workshops, enable partner teams, resolve technical sales blockers, and ensure solutions are secure, scalable, performant, and cost-efficient. Build executive relationships, collaborate with engineering and product teams, and drive partner offerings, cloud consumption, innovation, and revenue outcomes.