Top AWS Jobs in Toronto

Own large-scale backend projects from discovery through launch, improve system performance, reliability, and scalability, and expand fault-tolerant processing infrastructure. Lead engineering excellence through mentorship and knowledge sharing, enhance testing, monitoring, and continuous deployment, and protect sensitive data. Collaborate with product managers, designers, and cross-functional teams to solve customer challenges.

Leads data engineering for cyber analytics by designing pipelines, ETL processes, storage, graph databases, and data models. Partners with data scientists and technology teams to integrate ML and AI solutions, manage production deployments, and build cohesive analytical datasets. Oversees and develops a team of data engineers, manages priorities, and collaborates with technical and business stakeholders.

Design, develop, modernize, and maintain enterprise applications and secure RESTful APIs using C#, .NET, ASP.NET Core, and SQL Server. Collaborate across the application stack with React, Angular, or similar frameworks; improve legacy systems, performance, reliability, and security. Participate in technical design, code reviews, automated testing, CI/CD, Docker deployments, troubleshooting, and Agile delivery. Contribute to AI-assisted engineering practices, documentation, mentoring, and continuous improvement.

Design and develop production-grade optimization models and services for workforce planning, forecasting, scheduling, and resource allocation. Build OR-Tools/CP-SAT constraint models, define schedule quality metrics, validate algorithm performance, and integrate optimization capabilities into an enterprise workforce management platform. Collaborate with product, architecture, engineering, and workforce-planning stakeholders to translate business requirements into mathematical models and operationally effective schedules.

Build and deploy Conductor, an agentic AI automation platform for healthcare providers. Develop backend services, integrations, workflow tools, transformation logic, and infrastructure using Python, TypeScript, and AWS. Support implementations from kickoff through production, diagnose deployment issues, collaborate with clients, provide product feedback, and improve shared tooling and deployment processes. The role is hybrid, requiring two days weekly in the Toronto office.

Lead full-cycle US recruiting for technical, product, and go-to-market roles while building Provectus’s talent community. Partner with hiring managers, provide market intelligence, and source senior technical candidates. Support US people operations, including onboarding, benefits and policy questions, performance reviews, employee engagement, and onsite activities. The role is approximately 70% recruiting and 30% HR, with responsibility for developing the company’s US talent function.

Leads quality engineering as a senior hands-on SDET, designing scalable API-first automation frameworks and integrating automated validation into CI/CD pipelines. Provides technical leadership and coaching, drives shift-left quality practices, implements contract, performance, security, and regression testing, and uses data-driven metrics to improve reliability. The role also explores AI-assisted and agentic testing approaches across distributed systems and microservices.

Lead enterprise sales for AI, data, cloud, database, and managed services solutions. Build territories, hunt new logos, expand accounts, manage Salesforce pipelines, and forecast revenue. Conduct executive-level discovery, develop business cases, negotiate deals, and coordinate proposals across technical, delivery, legal, and finance teams. Co-sell with hyperscaler and OEM partners, manage complex enterprise sales cycles, and position Production AI, database managed services, cloud consulting, and data modernization offerings.

Leads development and maintenance of production full-stack web applications and server-side services. Designs AI-assisted development workflows, integrations, testing, CI/CD, security, accessibility, and performance practices. Delivers CMS, API, analytics, and LLM integrations while mentoring developers, managing technical estimation and risks, documenting architecture, reviewing code, and communicating trade-offs to technical and non-technical stakeholders.

Leads the technical design, architecture, and delivery of scalable CMS features and services for digital menu board solutions. Responsibilities include mentoring engineers, establishing engineering standards, conducting code reviews, driving testing and quality assurance, collaborating on AWS and DevOps infrastructure, and leading technical innovation and complex enterprise projects.

Leads the design, development, and delivery of secure RESTful APIs, integration services, and Backend-for-Frontend solutions. Guides developers, mentors team members, and collaborates with product, architecture, QA, and business teams. Designs integrations between modern platforms and legacy systems using cloud services, messaging, caching, security, observability, and resilience patterns. Establishes testing and release quality practices, manages technical risks, and supports reliable, scalable, low-disruption product delivery.

Leads strategic enterprise client relationships across retail, FinTech, and utilities accounts. Owns account growth, executive engagement, digital transformation strategy, program governance, budgets, resourcing, delivery risks, QBRs, and customer satisfaction. Coordinates distributed teams across Canada, the United States, and India while managing complex technology services programs and identifying expansion opportunities involving AI, data, analytics, and cloud modernization.

Develop, test, support, and troubleshoot production software for a scalable TLD Registry Platform. Build web applications, services, background services, and class libraries using object-oriented programming, SQL, NoSQL, and AWS cloud technologies. Participate in the full software development lifecycle, provide on-call support, identify root causes, improve system performance and maintainability, and collaborate with experienced engineers across a global organization.

Staff Site Reliability Engineer responsible for improving production resilience, security, observability, and operational excellence across AWS and Kubernetes environments. The role designs scalable distributed systems, secure CI/CD pipelines, deployment strategies, reliability standards, and incident-management practices. Responsibilities include leading high-severity incident response, optimizing platform performance, reducing operational toil, mentoring engineers, and advancing cloud-native platform tooling. Requires deep AWS, Kubernetes, Istio, infrastructure-as-code, observability, TypeScript, and Node.js expertise.

Build and operate Block’s data platform, including warehousing, orchestration, business intelligence, governance, and agentic workflows. Develop reliable Python services, developer tools, and Terraform infrastructure for petabyte-scale data. Partner with data practitioners and product teams, establish engineering standards, provide technical direction, and mentor engineers while ensuring security, reliability, observability, usability, and data governance.

Lead hands-on software development, technical design, architecture, and full SDLC delivery for fault-tolerant, cross-functional applications. Establish engineering standards, improve internal frameworks and developer experience, provide technical guidance, contribute to high-level design, and mentor junior and intermediate engineers. The role uses cloud technologies and modern software practices in a hybrid environment.

Build and operate a scalable data platform supporting warehousing, orchestration, business intelligence, governance, and agentic workflows. Develop Python services, Terraform infrastructure, and developer tools for petabyte-scale data. Partner with data practitioners and product teams, establish security and reliability patterns, set technical direction, improve engineering standards, and mentor engineers.

Own the end-to-end architecture of a governed, zero-copy, cross-cloud data platform spanning Databricks, Snowflake, and other data sources. Define architecture standards, reference designs, metadata and catalog integrations, data contracts, access controls, and agent- or MCP-based data consumption patterns. Translate product vision into technical specifications, guide engineering decisions, ensure enterprise alignment, and communicate complex trade-offs to technical and business stakeholders in a consulting environment.

Lead the Data & APIs backend team, setting technical direction and remaining hands-on with Python, Django, PostgreSQL, AWS, APIs, and data infrastructure. Design scalable ingestion systems, review code, investigate complex production issues, and maintain a mature codebase. Manage, mentor, and hire engineers while coordinating contractors across time zones. Partner with Product on planning and releases, and improve engineering practices involving testing, observability, performance, documentation, and reliability.

Define Clutch’s platform engineering strategy and build its internal developer platform. Own CI/CD architecture, deployment workflows, AWS infrastructure, Terraform configurations, developer tooling, automation, observability, security standards, and reusable infrastructure patterns. Partner with engineering leadership, improve developer productivity and reliability across teams, and establish the platform function from the ground up in a fast-moving startup environment.

Build and operate production ML and GenAI systems, including data pipelines, model serving, RAG applications, agents, evaluation frameworks, guardrails, monitoring, and MLOps practices. Translate business needs into technical plans, optimize performance and cost, conduct design and code reviews, troubleshoot pipelines, and mentor engineers while collaborating with product managers, data scientists, and engineering leaders.

Develop and productionize NLP and AI features for multilingual communications risk and compliance analysis. Design, fine-tune, evaluate, serve, and monitor transformer and LLM-based models, including RAG and embedding search. Own database architecture, data models, administration standards, testing, and infrastructure improvements supporting NLP pipelines. Collaborate with research, product, MLOps, engineering, and revenue teams; explain model behavior to clients and mentor engineers.

Develop and productionize NLP and LLM solutions for multilingual financial communications, including model training, fine-tuning, evaluation, RAG, and risk detection. Design and administer databases and data models supporting NLP pipelines, improve cloud infrastructure, document technical work, explain model behavior to clients, collaborate across research, product, MLOps, and engineering teams, and mentor engineers.

Own Rootly’s internal enterprise security program, including identity and access management, Google Workspace security, Zero Trust access, endpoint and data protection, SIEM deployment, corporate detection and response, vendor security reviews, AI tool governance, SOC 2 evidence, and customer security questionnaires. The role partners with AppSec and infrastructure teams and participates in corporate security incident on-call rotations.

Designs and oversees enterprise and solution architectures for large, distributed applications. Defines application structure, integrations, interfaces, reusable components, databases, middleware, performance requirements, and technical limitations. Develops application models and architecture deliverables while supporting cloud and on-premises connectivity. Requires expertise across Azure or AWS, Dynamics 365, Power Platform, Java, .NET, APIs, databases, DevOps, CI/CD, cybersecurity, and Agile methodologies.