Top AWS Jobs in Toronto

Leads enterprise and solution architecture for complex, cross-enterprise initiatives. Develops architecture principles, reference architectures, roadmaps, standards, and designs spanning cloud, applications, data, integration, infrastructure, identity, security, and emerging technologies. Partners with business and technical stakeholders, oversees design governance, resolves complex trade-offs, supports modernization, and mentors architects while providing performance feedback.

Leads architecture, design, and delivery of mission-critical cloud-native systems using Java, Spring, microservices, and event-driven patterns. Builds scalable services, establishes engineering standards, mentors senior engineers, and partners with product, security, platform, and SRE teams. Designs cloud, data, integration, observability, security, and CI/CD solutions while driving quality, resilience, performance, compliance, and operational excellence across the full software development lifecycle.

Build and operate scalable AI platform services, internal APIs, and production workflows integrating LLMs and AI tools. Own reliability through observability, alerting, incident response, performance tuning, cost optimization, capacity planning, CI/CD, and infrastructure improvements. The role requires Python backend development, distributed systems, asynchronous processing, cloud infrastructure, infrastructure as code, and cross-layer experience spanning services, data, infrastructure, and AI tooling.

Leads the architecture, development, deployment, and support of enterprise full-stack applications using .NET, Angular, AWS, microservices, and AI-assisted development tools. Provides technical leadership, mentoring, and engineering standards while driving cloud modernization, CI/CD, DevOps, security, observability, performance, and production support. Collaborates with stakeholders and technology teams on solution design, technical roadmaps, Agile delivery, and enterprise-scale initiatives.

Build and operate database and storage platform software, including services, APIs, developer tools, migrations, and lifecycle automation. Solve database scaling, performance, reliability, and availability problems across distributed systems, cloud infrastructure, and backend services. Partner with engineering teams on schemas and queries, lead technical projects, modernize platforms, participate in incident response, and use AI-assisted tools in development.

Build and operate full-stack compliance platforms for transaction search, entity labeling, ingestion, and workflow automation. Responsibilities include designing microservices and event-driven systems, writing tested code, improving sensitive financial data quality, building self-service tools and high-volume pipelines, partnering with Compliance and Risk teams, and participating in on-call operations. The role also involves using AI-powered development tools, reviewing code, and supporting engineering standards.

Lead technical strategy and architecture for a backend search team building highly available distributed systems, recommendations, and discovery experiences. Partner with product, design, and analytics; establish engineering standards, operational processes, monitoring, testing, and on-call practices. Drive major technical initiatives, mentor engineers, communicate technical direction, and support scalable consumer and merchant experiences.

Designs, builds, automates, and optimizes enterprise cloud data pipelines and platforms. Responsibilities include ETL/ELT, DataOps, CI/CD, data migration, data modeling, data warehousing, lakehouse architecture, database administration, performance tuning, and production support. The role uses Databricks, Azure services, PySpark, SQL, and multiple cloud platforms to deliver scalable structured and unstructured data solutions.

Architect, build, and operate large-scale relational and distributed SQL database infrastructure. Responsibilities include control-plane automation, provisioning, failover, backups, upgrades, zero-downtime migrations, Kubernetes networking, connection proxy optimization, reliability monitoring, capacity planning, and on-call support. The role also involves technical leadership, roadmap ownership, code quality standards, mentoring, and cross-functional collaboration.

Build and maintain Tempo’s cloud platform infrastructure, shared libraries, cross-service APIs, and core platform services. Drive architecture and technical standards, improve developer tooling and experience, ensure reliability and security, and collaborate across teams. The role requires expertise in Java or Kotlin, distributed systems, Kubernetes, Docker, AWS, databases, messaging, observability, and multiple programming languages. It also includes mentoring engineers, reviewing code, and leading initiatives spanning multiple teams.

Build and ship production full-stack applications powered by AI and data. Responsibilities include client discovery, technical architecture, LLM and agentic workflow implementation, MLOps/LLMOps, testing, monitoring, scalable data pipelines, data lakes, and transparent communication of technical tradeoffs. The role requires adapting across technologies and industries while delivering tailored solutions in a consulting environment.

Develop and maintain scalable Atlassian cloud products using Kotlin, Java, and server-side technologies. Responsibilities include writing clean, testable code, creating unit and integration tests, conducting code reviews, designing APIs, optimizing performance, and collaborating with product, design, QA, and technical writing teams. The role requires building distributed systems using Kubernetes and AWS, working with SQL and NoSQL databases, and solving complex customer and product challenges autonomously in a remote environment.

Designs enterprise Braze architectures integrating CDPs, data warehouses, reverse ETL, product analytics, and cloud platforms. Leads implementations, migrations, integrations, governance, security, personalization, deliverability, experimentation, and performance optimization. Advises executive stakeholders, leads technical delivery and presales, establishes operating models and standards, builds reusable practice assets, and mentors distributed teams.

Advise product, engineering, marketing, support, and partner teams on commercial terms, privacy, data protection, AI governance, cybersecurity, and global regulatory compliance. Draft and negotiate resale, referral, distribution, technology partner, cloud marketplace, and services agreements. Monitor emerging regulations and provide strategic guidance on anti-bribery, antitrust, sanctions, export controls, third-party risk, public-sector channels, and product commercialization.

Lead a cross-functional team of four to seven engineers, owning people management, hiring, delivery, quality, and process. Partner closely with product management on priorities and technical trade-offs, coach engineers in agentic development workflows, review code, remove blockers, and maintain delivery visibility through metrics. The manager remains technically engaged without becoming a delivery bottleneck, develops team members, addresses performance issues early, and establishes durable testing and observability practices.

Own and improve application security across applications, APIs, cloud services, and CI/CD pipelines. Manage penetration testing programs, vulnerability remediation, security scanning, WAF and API protections, threat modeling, secure design reviews, incident response, and compliance evidence. Partner with developers, vendors, cloud teams, and compliance stakeholders to close critical findings and embed secure delivery practices through automation and security AI tooling.

Own and improve application security across applications, APIs, cloud services, and CI/CD pipelines. Manage penetration testing programs, vulnerability remediation, security scanning, WAF and API protections, threat modeling, secure design reviews, and security automation. Partner with development, cloud, compliance, and security teams to remediate critical findings, support audits, improve secure coding, and provide security guidance. The role also involves leveraging AI-enabled tools for vulnerability triage and remediation.

Own partner-led B2B technology sales from opportunity qualification through contract closure. Build relationships with AWS and other partner account teams, manage enterprise pipeline, lead business discovery, coordinate proposals and statements of work with solutions architects, maintain CRM accuracy, and develop account expansion strategies for cloud modernization, custom application, AI, and data solutions.

Leads Java backend development for scalable microservices, APIs, event-driven systems, and integrations. Provides technical leadership, architecture guidance, mentoring, code reviews, incident management, and modernization support. Builds secure, observable, highly available services using Kafka, cloud infrastructure, CI/CD, automated testing, and DevOps practices. Partners across Engineering, Analytics, Product, and Architecture to govern APIs, manage event contracts, reduce technical debt, and support high-volume transaction platforms.

Develop and maintain legacy and next-generation platforms across APIs, web applications, databases, and cloud infrastructure. Build AI-first workflows with Claude Code, contribute to architecture and technical direction, review AI-generated code, resolve production issues, optimize performance, and mentor engineers. The role requires extensive C#/.NET, C++, SQL Server, React, TypeScript, and CI/CD experience, with opportunities to build agentic and AI-powered product features.

Design and scale distributed backend microservices for restaurant reservations, guest management, payments, floor management, and table operations. Build integrations, POS synchronization, entitlement and usage-metering services, and asynchronous workflows. Ensure reliability through observability, automated testing, schema design, latency optimization, and resilient distributed systems. Collaborate with global engineering, product, mobile, web, and UX teams while mentoring engineers and leading technical design reviews.

Leads strategic client engagements and executive relationships for manufacturing and automotive analytics, data, AI, and digital transformation programs. Oversees solution design, proposals, commercial growth, delivery governance, roadmaps, data-platform modernization, and AI initiatives. Manages portfolios up to $10M–$15M annually, develops executive recommendations, mentors multidisciplinary teams, and builds reusable industry capabilities across smart manufacturing, connected operations, supply chain, quality, and industrial AI.

Designs and prototypes scalable agentic AI architectures across Azure, AWS, or GCP. Responsibilities include multi-agent orchestration, LLM applications, RAG pipelines, memory and vector search, enterprise integrations, cloud-native engineering, code reviews, AI governance, security guardrails, and stakeholder leadership. The role requires hands-on development, framework evaluation, and translating business needs into production-ready AI platforms.

Own data science for customer-facing product features, including LTV prediction, experimentation, benchmarking, and forecasting. Proactively analyze data to identify customer problems and product opportunities, build and deploy production-grade models, and influence product roadmaps. Partner with Product, Engineering, and Analytics, communicate findings to varied audiences, iterate on shipped features, and lead new data-driven initiatives.

Protect gaiia’s products, cloud infrastructure, customer data, and teams through application security, cloud security, vulnerability and incident management, GRC, and security enablement. The role includes threat modeling, architecture reviews, penetration testing, IAM improvements, compliance support, incident response, security roadmap ownership, and collaboration with engineering, sales, legal, and leadership.