Top AWS Jobs in Toronto

As Engineering Manager, you will manage a technical team, drive technical strategy, mentor developers, and ensure effective product delivery while aligning with organizational goals.

Design, build, test, deploy, and maintain scalable batch and streaming data pipelines and services processing high-volume EDI transactions. Participate in full SDLC, collaborate with analysts and product teams on analytics use cases, improve observability and performance, support production, and work in an agile, distributed team using modern DevOps practices.

Provide Level 2 support for core banking applications (Flexcube, SWIFT, Appian, MUFG payment systems), coordinate vendors, manage incidents/problems, support releases and testing, document procedures in Confluence, assist projects and audits, and drive platform enhancements and automation.

Design, develop, and maintain backend microservices for reporting, analytics, data export and data-driven features. Collaborate with product, data, and engineering teams, implement APIs for BI tools, ensure data quality/governance, participate in design reviews, mentor junior engineers, and support agile delivery.

The AI Engineer will design and develop scalable AI solutions for finance, ensuring compliance and collaboration across teams. Responsibilities include coding, model lifecycle management, automation, and technical mentoring.

Build and operate foundational cloud infrastructure and developer tooling across Azure and AWS. Own observability, CI/CD, internal tooling, and platform reliability. Drive cost optimization, security and compliance (SOC 2, HIPAA/PHIPA), and improve developer experience with automation and shared libraries.

Design, implement and maintain backend systems for a financial platform. Collaborate with quants, frontend and platform teams to build cloud-native AWS services, HTTP APIs and event-driven microservices using Rust and Python. Model complex financial trades, work with MySQL, MongoDB and other databases, and support performance-critical systems and observability.

Design and deliver cloud and AI security solutions, provide architecture and automation code, build proofs-of-concept, advise customers, publish reference architectures and technical content, and support training and evangelism for Fortinet cloud products.

Lead design and build of high-scale, low-latency backend systems for premium ad formats. Define architecture for unified serving and rendering, enable experimentation and optimization, collaborate with Product/Design/Data Science, mentor engineers, and drive availability, scalability, and roadmap for ad formats.

The role involves leading engineering teams in product development, driving innovation in software architecture, and integrating AI tools while providing mentorship and technical authority.

Lead application systems analysis and programming activities, ensuring integration of functions, resolving complex problems, and coaching mid-level developers. Focus on full stack development using Java, JavaScript, and modern architecture principles.

The Full Stack Development Lead Analyst will lead the development and architecture of web applications, mentor engineers, manage projects, and ensure high standards of delivery and coding practices.

As a Software Developer, you will implement backend features, learn cloud service development, participate in Agile processes, and contribute to team documentation and code quality under mentorship.

Design, build, and maintain scalable production pipelines and services to process clinical-grade 30x whole genome data. Optimize performance, reliability, and cost across AWS and hybrid environments. Develop tools and services (Python, C#, SQL, AWS) for genomic analysis, collaborate with cross-functional teams, ensure testing, observability, and validated output, and support consumer-facing DNA apps and reports.

Design, deploy, operate, and support enterprise-scale network infrastructure across cloud, on-prem, and hybrid environments. Manage LAN/WAN/WLAN/data center networks, internet circuits, routing, switching, firewalls, SASE/Zero Trust solutions, and Check Point Maestro. Lead advanced troubleshooting, participate in weekly on-call rotation, and develop automation using Python, Bash, APIs, and Ansible to improve operational efficiency.

Lead and build a platform engineering team that delivers developer experience: CI/CD, deployment automation, observability, test infrastructure, and AI-assisted tooling. Own roadmap, metrics (DORA/DevEx), hiring and coaching, partner cross-functionally to drive continuous deployment, quality, and incident management, and ship high-leverage platform capabilities for product engineering squads.

Lead functional design and development of application systems, translate business requirements into technical solutions, design integrations and interfaces, influence technology roadmap, lead complex solution design, mentor junior developers, and drive stakeholder design reviews.

Design and architect large-scale AI systems for media: optimize LLM and multimodal training/inference, evolve GPU infrastructure, integrate AI into production (PAM/MAM/studios), lead MLOps practices, and mentor engineers.

Lead and operate the CI/CD platform and developer "paved road," delivering self-service IaC, automated pipelines with embedded SAST/DAST, observability/AIOps, and cloud modernization across Azure and AWS. Build and mentor a team, reduce operational toil through automation, enable secure, zero-downtime deployments, and partner with SRE, product engineering, and InfoSec to govern environment provisioning, change management, and migrations.

Lead end-to-end delivery of data science, ML, and AI programs from scoping to production. Build roadmaps, manage cross-functional resourcing, run Agile ceremonies, manage risks/dependencies, coordinate model lifecycle and data engineering readiness, oversee executive reporting, and mentor PMs and technical leads to establish delivery best practices.

The Python Developer will create Gen AI solutions, collaborate in Agile teams, write maintainable code, manage project delivery, and ensure compliance with standards.

Provide technical and business support for Citi applications, troubleshoot and resolve production incidents, participate in releases and disaster recovery testing, maintain runbooks and documentation, perform RCAs and change control, liaise with stakeholders and technology partners, and support stability and efficiency initiatives.

Join a small team to improve a tech product aimed at upskilling users in MENA, working with JavaScript and Node.js in a collaborative remote environment.

Design and build scalable AI-powered full-stack applications: develop data pipelines (Dagster, dbt), backend services (Python, FastAPI), responsive frontends (React, TypeScript), integrate LLMs and RAG pipelines, implement MCP for agent workflows, ensure data quality and CI/CD, and collaborate with engineering and business stakeholders.

The DevSecOps Engineer will lead security initiatives by implementing security controls, automating workflows, mentoring juniors, and collaborating with teams on security best practices.