Top AWS Jobs in Toronto

Leads architecture, development, and roadmap strategy for an enterprise Infrastructure as Code inventory orchestration platform. Builds automation using Python, Ansible, and Rust across middleware, databases, OpenShift, and AWS. Governs AI-assisted development tools, ensures compliance and security, resolves infrastructure incidents, drives integrations and process improvements, and mentors engineers. The role also coordinates cross-team delivery, translates business needs into technical solutions, and establishes platform standards and responsible AI adoption practices.

Design and develop high-performance Java backend services and scalable data-processing architectures using Java 17 and Spring Boot. Build microservices, optimize SQL queries and data pipelines, resolve performance issues, and apply test-driven development, static analysis, and modern architectural patterns. Collaborate with cross-functional teams to deliver business-critical features while using AI-assisted development and prompt engineering to improve delivery and code quality.

Owns the lifecycle, operational stability, security, and governance of enterprise GRC and RegTech applications while leading regulatory technology projects. Responsibilities include application availability, change and incident management, access governance, audit and regulatory exam support, control monitoring, remediation tracking, vendor risk management, budgeting, and executive reporting. The role coordinates business risk, compliance, security, audit, engineering, and technology stakeholders across complex regulated environments.

Design and deliver secure, high-performing Java microservices and REST APIs supporting Citi’s global reference data platforms. Lead architecture decisions, establish coding and security standards, coordinate global engineering teams, and select development tools. The role involves enterprise application development with Spring, relational databases, messaging, cloud platforms, automated testing, and build tools. Preferred experience includes NoSQL, GraphQL, Angular or React, integration frameworks, shell scripting, API gateways, and CI/CD pipelines.

Modernize legacy Java platforms by refactoring Java 6/8, JBoss, and Struts applications toward JDK 17, Spring Boot, microservices, and cloud-native deployments. Develop backend services, TypeScript components, and integrations with enterprise authentication systems. Containerize and deploy applications using Docker, OpenShift, Kubernetes, and AWS. Contribute across the Agile lifecycle, including design, development, testing, CI/CD, deployment, and production releases while maintaining system security, stability, and continuity.

Designs and maintains dimensional and 3NF data models, develops ETL pipelines for data lakes and warehouses, and creates semantic models, reports, and dashboards. Facilitates requirements sessions, performs data analysis, defines source-to-target mappings and transformations, and collaborates with clients and distributed teams. The role requires expertise in SQL, Python or Scala, cloud platforms, modern data platforms, BI visualization, DevOps, and version control. Periodic travel of up to 20% is required.

Build and deploy production GenAI and LLM systems for financial services and healthcare clients. Responsibilities include understanding business operations, designing AI solutions, developing evaluation suites, delivering cloud-native systems on AWS, supporting enterprise AI adoption, contributing to reusable blueprints, and engaging senior stakeholders in pre-sales and solution scoping. The role requires autonomous ownership from problem framing through production deployment, with hands-on work involving Claude, Claude Code, Cowork, integrations, workflows, and connectors.

Leads a data science organization delivering predictive, prescriptive, and generative AI solutions. Responsibilities include managing and developing data scientists, prioritizing analytics opportunities, overseeing model development and deployment, establishing responsible AI and governance practices, partnering with technology and business stakeholders, presenting insights to executives, and managing portfolios, resources, risk, and delivery across multiple initiatives.

Leads and mentors a data science team developing machine learning, AI, predictive, prescriptive, and generative AI solutions. Partners with business stakeholders to prioritize use cases, oversees model development and production deployment, and ensures governance, monitoring, documentation, explainability, fairness, and responsible AI standards. The role also communicates analytical insights, evaluates emerging technologies, manages team performance and resources, and supports enterprise risk, regulatory, and strategic initiatives.

Provides technical leadership for generative AI products in Corporate Tax and Trade. Defines software strategies, leads AI-native feature development, integrates LLMs and generative AI, improves Micro Front End scalability and latency, mentors global engineering teams, manages technical risk, and translates business needs into technical solutions. Requires extensive software engineering experience, modern web technologies, cloud platforms, AI/ML integration, enterprise SaaS experience, and advanced education.

Provides technical leadership for generative AI products in Corporate Tax and Trade. Defines software strategies, designs AI-native features, integrates LLMs, optimizes Micro Front Ends, mentors engineering leaders, manages technical risk, and translates business needs into scalable solutions. Requires extensive software engineering experience, modern web and cloud technologies, agentic AI expertise, enterprise SaaS experience, and the ability to lead complex initiatives.

Lead a ~10-engineer team owning the Content Tools platform: design, implement, test, deploy, and operate API-first tooling and governance. Establish contribution standards, CI/CD evaluation pipelines, IR evaluation frameworks, observability, and SLOs. Coordinate cross-team integration with agentic AI workflows and ensure reliability, discoverability, and licensing controls for multi-tenant content access.

Develop and maintain the AIRCHECK cloud-based platform for sharing structured chemical screening data. Responsibilities include full-stack application development, data pipelines, cloud storage, AI and analytics integration, security and compliance, and performance optimization for large datasets. The role collaborates with multidisciplinary scientific teams and supports FAIR and open-science drug discovery initiatives.

Own and scale secure, observable, cost-efficient cloud infrastructure across GCP, AWS, and Azure. Design Kubernetes clusters, Terraform environments, CI/CD and GitOps delivery, data-store infrastructure, observability, disaster recovery, security controls, and cloud cost management. Partner with backend, ML, platform, and solutions teams to operate reliable data pipelines and model-serving systems. Lead incident response, establish operational standards, and support compliance requirements including SOC 2 and customer security reviews.

Designs and delivers enterprise Java microservices for Citi’s global reference data platform. Responsibilities include architecture, REST API and database development, secure coding, production deployment, engineering collaboration, adoption of development standards, and mentoring. The role requires Java, Spring, cloud, messaging, testing, and build-tool expertise, with opportunities to work on modern distributed systems in a hybrid environment.

Lead the technical direction, architecture, and development of Compass, an LLM-powered agent platform. Design multi-agent systems, MCP and A2A integrations, orchestration, evaluation, and observability infrastructure. Drive cross-team technical projects, production support, engineering quality, mentoring, and adoption of AI-assisted development practices. Partner with Product, QA, Design, Operations, and Engineering stakeholders to deliver reliable agentic systems.

Build and maintain authentication and fine-grained authorization systems using Auth0 and OpenFGA. Own OAuth 2.0 and OpenID Connect implementations, identity federation, token flows, and permissions for AI agents. Lead cross-team technical projects, set engineering standards, review code, and mentor engineers. The role requires strong backend development skills and experience with identity providers, ReBAC systems, and complex multi-tenant authorization models.

Leads product security across Black Duck products by overseeing secure architecture, threat modeling, secure code reviews, security requirements, supply chain security, and secure development lifecycle controls. Builds security enablement and Security Champions programs, coordinates assessments and vulnerability remediation, supports PSIRT and incident response, measures security maturity, advises on regulatory obligations, and mentors engineering teams.

Build and deploy production GenAI and LLM systems for enterprise clients in financial services and healthcare. Work directly within customer teams to understand business functions, develop AI solutions, create evaluation suites, and deliver cloud-native systems on AWS. Own engagements from problem framing through production, advise senior stakeholders, contribute to AI delivery frameworks, and support presales. The role requires hands-on software engineering, Claude and Cowork expertise, operational ownership, and comfort with ambiguous environments.

Build scalable APIs, agent interfaces, MCP servers, A2A communication layers, and high-throughput advertising transaction systems. Design distributed services, authentication, protocols, and transaction flows while integrating emerging AI agent frameworks. This hands-on, backend-leaning full-stack role requires ownership of complex technical challenges, rapid experimentation, and effective use of AI coding tools. The engineer will collaborate closely with a small team and contribute to architectural decisions and engineering workflow improvements.

Leads and develops the platform engineering team while remaining hands-on with architecture, code reviews, infrastructure, and implementation. Owns platform priorities, roadmap, technical direction, cloud budgets, reliability, security, CI/CD, developer productivity, and customer environments across GCP and AWS. Oversees Kubernetes, Terraform, Helm, automation, observability, incident response, SOC 2 controls, vendor relationships, and AI-assisted development tooling.

Leads the architecture and delivery of enterprise data engineering solutions using Databricks, AWS, and Lakehouse technologies. Builds scalable batch and streaming pipelines, reusable metadata-driven frameworks, governed data products, and AI-ready foundations. Leads platform modernization, data quality, observability, CI/CD, infrastructure automation, and Generative AI enablement. Mentors engineers, advises stakeholders, and drives architecture standards, governance, and technical initiatives.

Develop and execute manual and automated tests for a SaaS platform, including functional, regression, performance, API, and non-functional testing. Document defects, maintain test cases and data, integrate automated suites into CI/CD pipelines, and collaborate with Product, Engineering, Implementation, Customer Success, and Support teams. Research AI-driven and LLM-based testing approaches, provide quality reports, and independently improve QA processes.

eBay is hiring ML Scientists and ML Engineers to design advanced models for ranking, recommendations, personalization, and pricing, and to productionize those models. Responsibilities include feature engineering with Zipline, building ETL/ELT and inference pipelines, MLOps, model serving, monitoring, deployment automation, and cost/performance optimization.

Manages and improves cloud-based database infrastructure supporting a mission-critical SaaS platform. Responsibilities include database observability, performance and availability improvements, incident and ticket management, migrations, query tuning, schema design, high availability, disaster recovery, configuration standardization, and automation. The role partners with DBA, Engineering, and SRE teams and supports SQL Server and PostgreSQL environments across cloud platforms.