Top AWS Jobs in Toronto

Lead design, development, and maintenance of Java-based applications using Spring Boot and microservices. Build RESTful APIs, integrate with Oracle and MongoDB, deploy via Docker/OpenShift, and collaborate across teams. Provide technical leadership, mentor mid-level developers, drive system analysis, resolve complex issues, and ensure solutions align with architecture and compliance standards.

As a Senior Software Engineer, you will develop AI-powered systems to enhance accounting workflows, build backend services, and ensure optimal performance and reliability of AI solutions.

Build and operate scalable, secure cloud infrastructure for real-time AI services. Improve reliability with SLOs, observability, capacity planning, and failure testing. Implement IaC, CI/CD, deployment safety, secrets and vulnerability management. Partner with product and AI teams, diagnose distributed failures, reduce cost, and automate platform patterns to enable faster, safer releases.

Build end-to-end AI-driven restaurant products from discovery through production. Own full-stack interfaces, backend services, agent workflows, integrations (POS, reservations, telephony), evaluation systems, and instrumentation. Design agent workflows combining models, rules, memory, and human escalation. Work directly with product, design, and restaurant users to iterate, improve reliability, latency, accuracy, and cost, and ship production-quality solutions.

Lead and manage Guidewire customer engagements, ensure on-time/on-budget delivery, own financial performance, build executive relationships, mitigate risks, support sales, and coordinate cross-functional teams for customer success.

Architect and maintain scalable, secure systems; champion best practices (OO, DDD, microservices); drive code quality, secure SDLC, and data-driven solutions; mentor teams; leverage AI to improve developer workflows; work with analytics and data warehouse tooling.

Design and develop scalable software applications, implement automated testing, mentor junior developers, and optimize performance in a remote environment.

As a Data Engineer, you will design and implement solutions for data integration and manage data quality, while collaborating with various teams for optimal data usage and decision-making.

Lead architecture, design, and delivery of large-scale, high-availability systems across cloud and mobile. Advance AI enablement and agentic workflows, own full components end-to-end, debug stack-wide issues, mentor engineers, and drive cross-team technical strategy and best practices.

The Software Engineer will maintain the operational health of CMS services, support production systems, and contribute to incident response and reliability improvements. Responsibilities include monitoring, troubleshooting, updating documentation, and engaging in continuous improvement initiatives within a collaborative team environment.

The Senior Software Engineer will design and implement scalable systems using .NET and Angular, lead modernization initiatives, and ensure the reliability of production systems while collaborating with engineering teams.

As a Senior Data Scientist, you will design, build, and operate machine learning and GenAI systems, influence technical direction, and mentor junior data scientists, focusing on production ML systems.

Lead high-impact AI initiatives, develop ML products, collaborate with cross-functional teams, and mentor data scientists in a dynamic environment.

Develop, deploy, and maintain AI-powered applications and intelligent workflows using Python in cloud-native environments. Build APIs, microservices, and data pipelines; integrate LLMs and ML models; implement retrieval/prompt-driven experiences and CI/CD; optimize performance, security, and scalability; collaborate cross-functionally and troubleshoot model and system issues.

Manage large-scale data analytics engagements, collaborate with technology teams, and present solutions to stakeholders to drive business value.

Seeking a Full Stack Engineer to design, build, and scale consumer-facing applications for Goldin, focusing on cloud-native architectures, AWS, and APIs while collaborating with cross-functional teams.

As a Senior Software Developer, you'll design and expand Kubernetes-powered platforms, enhancing infrastructure reliability and facilitating migrations to Amazon EKS while collaborating with engineering teams.

Design, build, and operate scalable Generative AI systems and RAG pipelines; own end-to-end AI application lifecycle on Databricks and AKS; integrate LLMs with data sources and APIs; implement LLMOps, evaluation, observability, and production monitoring; mentor engineers and influence product roadmaps.

The Senior Site Reliability Engineer will enhance and support mission-critical environments, ensuring reliability and performance, and driving cloud transformation in Azure-based platforms while collaborating with cross-functional teams.

Lead and develop a team of Business Development Representatives, drive partnerships, and execute growth strategies for AWS and Google Cloud solutions.

Lead analysis of customer, digital, and transportation data to build targeting, pricing, and optimization models. Design and run customer analytics (price elasticity, churn, LTV, segmentation), mentor junior data scientists, lead stakeholder projects, and support data storage planning and cross-department representation to drive actionable, data-driven business decisions.

Build and scale production AI systems, APIs, data pipelines, retrieval systems, and model-serving infrastructure for consumer and clinician-facing health products. Integrate and fine-tune LLMs and other models, manage AI feature lifecycles from prototyping through monitoring, and ensure reliability and observability. Collaborate with engineering, product, and science teams. More senior candidates may lead AI architecture, roadmap development, and mentoring.

Build and maintain backend services, REST APIs, databases, customer-facing products, internal tools, and data platforms. Improve database architecture, performance, reliability, scaling, and migrations. Contribute to full-stack development, AWS infrastructure, serverless systems, CI/CD, deployments, monitoring, and architectural decisions while collaborating with product, design, and leadership.

Lead design and delivery of scalable, governed data ingestion and integration pipelines for structured, semi-structured, and multimodal data to enable AI, ML, and Generative AI. Partner with product, data science, architecture, risk, and operations to define requirements, ensure data quality, lineage, security, and observability, and evaluate new technologies. Mentor engineers, drive cross-functional initiatives, improve platform resilience, and measure ingestion and AI data effectiveness.

Lead design, development, and documentation of scalable web applications using the Microsoft stack. Collaborate with product, design, and architects; drive architecture and best practices; oversee SDLC, CI/CD, cloud PaaS solutions, database performance, and front-end integrations.