Top AWS Jobs in Toronto

The Data Engineer will develop and maintain data pipelines, ensure data quality, and collaborate with business teams to implement insightful data solutions.

Leads application engineering, technical operations, production support, modernization, and delivery for Transfer Agency platforms. Oversees internal, offshore, and vendor teams; evaluates architectures and estimates; manages Agile roadmaps and releases; and drives resilience, disaster recovery, governance, audits, risk mitigation, and performance standards. The role modernizes legacy systems through web applications, containerized services, and AWS integration while translating technical strategy for business and executive stakeholders.

Leads the design, development, integration, and enhancement of enterprise applications. Provides architecture guidance, establishes coding standards, solves complex technical problems, manages high-impact projects, collaborates with infrastructure and security teams, mentors developers, and manages technology risks and compliance. The role requires full-stack Java development, enterprise middleware, cloud-native platforms, DevOps, AI-assisted software engineering, and agentic AI expertise.

Lead development of modern full-stack web applications using Java, Spring Boot, Angular, microservices, REST APIs, SQL Server, Elasticsearch, and Kafka. Design scalable backend services, responsive interfaces, micro-frontends, integrations, and CI/CD pipelines. Contribute to testing, code reviews, technical standards, performance optimization, and production support while collaborating within an agile engineering team.

Develop and maintain full-stack enterprise applications using Java, React, Spring Boot, Oracle, REST, GraphQL, and microservices. Collaborate within Agile teams to design solutions, write and test code, troubleshoot complex issues, improve processes, and contribute to architecture and technical standards. Use Docker, Kubernetes, CI/CD pipelines, cloud-native practices, and AI development tools such as GitHub Copilot. Partner with stakeholders and manage delivery risks across the software development lifecycle.

Lead backend engineer responsible for designing, developing, documenting, testing, and supporting Java/Spring Boot APIs and scalable microservices. The role includes SQL Server data optimization, Elasticsearch search solutions, Kafka event-driven integrations, API versioning, CI/CD participation, code reviews, and production-quality engineering practices. Cloud, containerization, orchestration, and observability experience are preferred.

Develop and support full-stack applications for OTC derivatives and markets technology. Responsibilities include feasibility analysis, system design, Java application development, REST API implementation, testing, deployment, user support, security improvements, risk assessment, and technical advising. The role requires collaboration with product teams, business users, and technology groups while managing complex projects and mentoring junior analysts.

Build robust software solutions for Citi’s global margin and collateral technology platform. Responsibilities include developing Java, React, and/or Python applications; creating RESTful APIs with Spring; applying TDD, clean code, data structures, algorithms, and SQL; collaborating with product teams and users; and managing multiple priorities in a fast-paced environment. The role supports modernization of post-trade, clearing, margin, and collateral systems, with opportunities to work with cloud and distributed technologies.

Lead the architecture, development, optimization, and operation of large-scale batch and real-time data platforms. Build Spark, Databricks, Kafka, and lakehouse pipelines handling multi-terabyte to petabyte-scale datasets. Optimize Spark and SQL performance, manage governance and monitoring, establish data-modeling and operational standards, and lead a global data engineering team through technical delivery, mentoring, stakeholder collaboration, and risk management.

Develop and support application systems while leading cloud migrations and modernizing infrastructure. Responsibilities include administering OpenShift, Kubernetes, and Docker platforms; building CI/CD pipelines; automating infrastructure with Terraform and Ansible; developing AI-driven platform automation; supporting AWS and Google Cloud environments; ensuring security, availability, and compliance; and advising stakeholders and junior analysts.

Lead the architecture, development, deployment, and modernization of resilient Java and Spring Boot microservices supporting Money Markets, Treasury, trading, and trade lifecycle processes. Optimize MongoDB, APIs, messaging, and data pipelines for high performance and scalability. Partner with business and technology stakeholders, enforce engineering standards, mentor developers, manage risk and compliance, and guide cloud-native, event-driven application development.

Design, build, and deploy high-performance asynchronous Java microservices and reactive backend systems. Develop Kafka event-streaming pipelines, Elasticsearch search capabilities, and MongoDB persistence solutions. Lead test-driven development with JUnit, code reviews, coding standards, and engineering quality initiatives. Collaborate with product, infrastructure, and architecture teams to deliver scalable features, while mentoring mid-level engineers and analysts.

Leads the design, development, maintenance, and troubleshooting of Java applications using Spring Boot, microservices, REST APIs, Angular or React, databases, containers, and cloud platforms. Defines application standards, evaluates complex systems and business processes, guides architecture-aligned solutions, and supports software delivery improvements. Collaborates with technology teams and stakeholders, mentors developers, participates in code reviews, manages risks and compliance, and advises on system enhancements and new products.

Lead the architecture and delivery of mission-critical cloud-native systems using Java, Spring, microservices, event-driven platforms, and distributed system patterns. Build secure, scalable services; establish engineering standards; mentor senior engineers; and guide teams through the full SDLC. Design cloud, data, integration, observability, CI/CD, infrastructure-as-code, and security solutions while partnering with product, platform, SRE, and business stakeholders. Provide technical leadership for architecture reviews, roadmaps, performance, resiliency, compliance, and emerging GenAI patterns.

Build and oversee robust full-stack applications for OTC derivatives within Markets Technology. Responsibilities include participating across the SDLC, reviewing technical solutions, shaping application-development strategies, developing Java-based services and user interfaces, and collaborating with product, business, and support teams. The role requires expertise in microservices, event-driven systems, cloud platforms, distributed systems, testing, clean code, stakeholder management, leadership, and project delivery while maintaining regulatory and risk controls.

Lead Software Engineer responsible for developing robust, automated technology solutions for margin and collateral systems in global markets. The role involves designing RESTful APIs, microservices, event-driven systems, and user interfaces; collaborating with product teams and users; applying TDD and clean-code principles; and solving complex engineering problems across the software development lifecycle. Experience with cloud services, distributed systems, and financial services is beneficial.

Develop and support scalable full-stack applications for OTC derivatives and markets technology. Responsibilities include feasibility analysis, system design, Java and React development, Spring Boot microservices, testing, implementation, production support, security, risk assessment, and user consultation. The role requires strong software engineering practices, Oracle and PL/SQL expertise, independent judgment, technical leadership, and mentoring of junior analysts.

Design and build Java-based microservices for global reference data platforms. Drive architecture decisions, develop REST APIs and secure cloud-ready applications, establish coding and architecture standards, collaborate with distributed engineering teams, and mentor engineers. The role requires expertise in Java, Spring technologies, databases, messaging, cloud platforms, testing, and secure software development.

Lead architecture and end-to-end delivery of mission-critical, cloud-native distributed systems. Design microservices and event-driven platforms, develop Java and Spring services, establish engineering standards, mentor senior engineers, and guide design reviews. Partner with SRE and platform teams on Kubernetes, CI/CD, infrastructure as code, observability, security, compliance, data integration, and operational excellence. Translate business needs into technical roadmaps and communicate architecture decisions across technical and non-technical stakeholders.

Develop and maintain enterprise full-stack applications using Java Spring Boot, React.js, and TypeScript. Design microservices, RESTful APIs, and MCP services for AI agents; deploy cloud-native solutions using AWS, Kubernetes, OpenShift, Docker, S3, and Oracle. Collaborate with cross-functional teams, conduct systems analysis, ensure secure and maintainable software, support production applications, assess risks, and mentor junior developers.

Lead hands-on development of Citi’s production-grade, multi-tenant AI platform. Build full-stack AI components, intelligent agent orchestration, Model Context Protocol servers, advanced retrieval-augmented generation pipelines, and vector/graph database integrations. Partner with subject matter experts and UI/API teams to deliver scalable enterprise automation. The role requires technical leadership, production AI engineering experience, AWS expertise, and ownership of complex platform delivery.

Build and maintain full stack risk and finance applications using Java and React. Design scalable backend services, responsive interfaces, event-driven microservices, and technical architecture supporting financial risk, stress testing, and regulatory reporting. Lead workstreams, establish development standards, mentor engineers, and collaborate with Risk, Finance, Front Office, regulators, and global stakeholders. The role requires enterprise application development across complex codebases, databases, cloud platforms, CI/CD, and high-volume data processing systems.

Design, develop, and deploy AI-powered applications, agentic workflows, RAG solutions, and intelligent automation for regulated financial services. Build data pipelines, APIs, microservices, and production-grade AI components using Python, SQL, and cloud technologies. Integrate LLMs and machine learning models, ensure data quality and governance, collaborate with cross-functional teams, research emerging AI capabilities, and document technical implementations.

Leads enterprise data privacy product discovery, governance, and engineering initiatives. Responsibilities include build-versus-buy evaluations, integration architecture, product backlog management, privacy automation, SaaS vendor governance, and translating privacy regulations into technical requirements. Partners with architecture, security, and engineering teams to deliver secure APIs, data workflows, identity integrations, and privacy-enhancing technologies across cloud and hybrid environments.

Leads multiple engineering teams developing and scaling AI and machine learning solutions, including LLM and RAG architectures. Provides hands-on Java and Python technical direction, defines engineering standards, manages hiring and performance, oversees budgets and resource allocation, resolves complex issues, and aligns delivery with senior stakeholders. The role requires expertise in LLMs, NLP, machine learning frameworks, Docker, and Kubernetes, with preferred experience in document digitization, cloud AI services, and legacy modernization.