Top AWS Jobs in Toronto

Develop and optimize machine learning and statistical models for fraud detection and anti-money laundering. Analyze large datasets to identify fraudulent patterns, build scalable data pipelines and features, evaluate model performance, and collaborate with engineering, product, and operations teams. Communicate insights to technical and non-technical stakeholders while maintaining data privacy and security compliance. The role offers significant ownership in building Oscilar’s early machine learning stack within a remote-first startup.

Designs, builds, and deploys production AI solutions for legal and compliance workflows. Partners with legal stakeholders to develop LLM, RAG, agentic AI, document-processing, search, evaluation, governance, security, and compliance applications. Writes tested Python or TypeScript code, manages AI infrastructure and deployment, establishes quality frameworks, and mentors legal users on no-code AI solutions while collaborating with IT and data teams.

Lead a team of software engineers while designing and building scalable software applications for KitchenMate’s food micro-market products and business operations. Responsibilities include delivering high-quality and stable engineering, launching products and features, owning initiatives, mentoring teammates, and applying distributed systems, backend, frontend, database, cloud infrastructure, testing, and continuous integration expertise.

Build and maintain batch and streaming ETL pipelines using Databricks, Apache Spark, Azure, and Delta Lake. Develop CDC and SCD1/SCD2 solutions, data models, federated lakehouse connections, and governed Unity Catalog environments. Configure catalogs, schemas, tables, views, functions, and volumes while optimizing Spark performance through partitioning and liquid clustering. Apply data warehousing, security, CI/CD, and DevOps practices to deliver reliable cloud data platforms.

Leads enterprise-wide QA automation and quality engineering strategy across banking platforms. Responsibilities include transforming manual QA teams into automation-first organizations, integrating testing with CI/CD and DevOps, overseeing performance and non-functional testing, ensuring regulatory compliance, managing stakeholders, and developing QA talent. The role requires deep banking domain knowledge, hands-on automation expertise, cloud experience, and leadership of large-scale quality initiatives.

Lead QA automation strategy and framework development across web, API, mobile, and data platforms. Integrate automated testing into CI/CD and DevSecOps pipelines, drive functional, regression, performance, integration, and security coverage, and champion responsible GitHub Copilot adoption. Mentor QA engineers, establish governance and quality standards, report risks and metrics to leadership, and ensure testing complies with banking regulations, privacy requirements, security standards, and audit expectations.

Lead front-office investment technology implementations from current-state analysis and requirements through workflow design, configuration, integration, testing, training, and handover. Manage project plans, statements of work, governance, budgets, client communications, and teams of developers and consultants. Advise executive stakeholders on technology choices, operating models, data architecture, migration, quality assurance, and best practices across asset and wealth management platforms.

Lead a team of software engineers and architects delivering complex, AI-first cloud applications for enterprise clients. Responsibilities include people management, requirements gathering, architecture, backlog ownership, technical decision-making, AI-driven testing, client discovery, risk escalation, executive communication, mentoring, and pre-sales support. The role requires hands-on AWS cloud-native development, consulting expertise, and leadership across large, multi-stakeholder engagements.

Build and operate high-volume telemetry and analytics data pipelines supporting real-time monitoring, product decisions, experimentation, and user experience analysis. Design event instrumentation, schemas, quality checks, deduplication, late-event handling, and identity stitching. Partner with data science, product, and SRE teams to shape requirements, and integrate AI tooling into development and data quality workflows.

Lead hands-on design and development of secure, scalable payment API and event-driven cloud services on AWS. Collaborate with product, QA, architecture, and support teams to deliver production-ready, observable solutions, and promote AI-assisted engineering productivity.

Design and develop advanced machine learning and generative AI solutions, including LLM fine-tuning, RAG architectures, prompt engineering, model evaluation, and MLOps. Architect scalable training, deployment, and retraining workflows on AWS using SageMaker and related services. Collaborate with engineering, QA, project management, and other stakeholders to deliver reliable AI applications and solve complex business problems.

Own the Android app end to end, including architecture, performance, releases, app store presence, experimentation, and roadmap. Lead and mentor mobile engineers, establish technical direction, and deliver polished native experiences. Partner with engineering and product leadership on growth, onboarding, and retention initiatives. Ship, instrument, measure, and iterate quickly in a PLG and A/B testing environment, while helping scale the mobile team.

Lead design, architecture, and delivery of enterprise-scale data platforms using Databricks and Spark. Architect Lakehouse solutions, build ETL/ELT pipelines, implement IaC and CI/CD, ensure data governance and security, mentor engineers, and partner with Fortune 500 clients from discovery through production.

Design and implement secure, scalable end-to-end IoT and edge solutions using AWS or Azure. Build fault-tolerant, high-availability cloud and edge systems, create architecture and design documentation, collaborate with cross-functional teams (data, cybersecurity), mentor developers, and guide technical direction while keeping current with IoT and cloud trends.

Design and document solution and information architectures for client engagements, drive technical design reviews, support sales and project estimating, ensure quality implementation, conduct code reviews, and create reusable delivery assets focused on automation and cloud-native solutions.

Design, build, deploy, and own high-performance, scalable data-platform components for streaming analytics, reporting, and ML. Collaborate with cross-functional teams, perform design/code reviews and performance tuning, debug production incidents, participate in on-call rotation, and mentor engineers to scale the organization.

Partner with strategic customers to design, build, and deploy agentic AI solutions. Translate customer workflows into reusable platform capabilities, own architecture and production lifecycle, and help found the Forward Deployed Engineering team while driving platform evolution and scalable features.

Use customer, digital, and transportation data to build targeting, propensity, pricing, loyalty, and churn models; run experiments (A/B), optimize promotions and pricing, present insights to stakeholders, manage data structures in Databricks/AWS, and lead project work with business partners to drive data-driven decisions.

Lead a globally distributed team of 10 engineers owning runtime foundations (Kubernetes, service mesh, Vault, Kafka). Drive quarterly priorities, coordinate cross-functional work, mentor engineers, manage on-call responsibilities, improve reliability, and communicate risks and trade-offs to stakeholders.

Site Reliability Engineers apply software and systems engineering to improve reliability, performance, and operability. They deploy, configure, monitor, recover, and scale services, participate in on-call rotations, evaluate products before and after releases, and spend at least half their time engineering away problems while collaborating with teammates.

Build end-to-end features for Faire's Brand pillar, collaborating with product, design, and data. Work across backend, frontend, and mobile stacks to optimize performance and scalability, mentor engineers, and drive product improvements from discovery through implementation while using modern tooling and AI productivity aids.

Lead design, implement, and maintain a scalable SaaS insurance platform across front-end and back-end. Provide technical direction, mentor developers, enforce best practices, optimize performance, ensure security and compliance, and drive adoption of modern architectures and testing methodologies.

Lead end-to-end predictive analytics and machine learning initiatives, including forecasting, churn prediction, and risk modeling. Translate business needs into scalable ML solutions, build and deploy models on AWS SageMaker, develop production ML pipelines, and oversee monitoring, governance, explainability, and retraining. Collaborate with engineering and MLOps teams, communicate insights to stakeholders, and mentor junior data scientists while providing hands-on technical leadership.

Own AWS and Kubernetes reliability, deployments, observability, incident response, infrastructure as code, CI/CD, and compliance controls for SOC 2 and PCI-DSS. Build scalable platform foundations, AI infrastructure, and greenfield product infrastructure while improving cost efficiency, security, vendor flexibility, and deployment consistency. Participate in on-call support and partner with security and engineering teams across backend, mobile, data, ML, and AI.

Lead architecture and hands-on development for risk, fraud, scam prevention, money operations, reconciliations, and chargebacks. Build resilient, low-latency, event-driven financial systems with auditable ledgers, strong correctness, and high availability. Mentor engineers, establish technical direction, support production ownership, and collaborate with Product, Data/ML, Compliance, and engineering leaders. Apply AI-assisted tooling and deliver scalable, compliant services across global payment infrastructure.