Top AWS Jobs in Toronto

Leads complex embedded hardware and firmware development projects from concept through production and commercialization. Owns project planning, schedules, resources, risks, documentation, design-control release plans, and cross-functional execution. Acts as scrum master, facilitates technical discussions, coordinates engineering, quality, regulatory, manufacturing, clinical, and commercial teams, and ensures compliance with company and international standards. Supports production release, project health monitoring, and continuous process improvement for medical device products.

Build turbopuffer’s partner program from scratch, including partner strategy, cloud-provider relationships, marketplace listings, integrations, co-selling motions, joint accounts, and revenue generation. Negotiate alliance deals, engage systems integrators, translate partner needs to engineering, and develop repeatable marketplace and sales processes. The role requires technical fluency, independent execution, strong writing, and experience building trust across organizations.

Leads the architecture, development, optimization, and operation of large-scale batch and real-time data platforms using Spark, Databricks, Kafka, and lakehouse technologies. Designs petabyte-scale pipelines, tunes Spark and SQL performance, manages governance and monitoring, establishes data-modeling and operational standards, and leads a global data engineering team. Advises stakeholders, mentors engineers, manages delivery risks and dependencies, and ensures production readiness, data quality, compliance, and support.

Own quality engineering for high-throughput payment systems by architecting automated regression, performance, stress, and load testing. Build emulators for external payment systems, integrate quality gates into CI/CD pipelines, validate microservices, event-driven architectures, and databases, and use Prometheus and Grafana for observability. Apply AI-assisted testing, synthetic data generation, and edge-case analysis while mentoring engineers and preventing incidents through telemetry-driven testing and post-mortems.

Own quality engineering for high-throughput payment systems by designing automated regression suites, performance and load tests, quality gates, external-system emulators, observability-driven test environments, and AI-assisted testing workflows. Partner with feature teams and product leaders to improve reliability, scalability, security, and transactional accuracy. Mentor engineers, support incident prevention, and embed automated validation throughout the software development lifecycle.

Design, implement, and operate internal and edge networking infrastructure at global scale across multi-cloud regions. Build services, tools, and automation to expose network functionality, improve routing, failover, and scaling. Lead cross-team initiatives including code and design reviews, ensure operational robustness and security hygiene, and participate in on-call rotation.

Build backend infrastructure and APIs to integrate Lyft with emerging AI ecosystems and devices. Design scalable distributed systems, mentor engineers, drive high-impact projects, write and review maintainable code, participate in on-call rotation, and collaborate cross-functionally to deliver production-grade AI-enabled features.

Build and operate Planet’s large-scale storage infrastructure, including object storage, metadata indexing, Elasticsearch search, event notification, and disaster recovery. Develop highly available backend services and APIs, monitor and tune production systems, respond to incidents, and improve performance. Advise engineers, lead technical projects, contribute to architectural roadmaps, participate in design reviews, and support engineering practices and documentation.

Maintain and improve reliability, scalability, and automation for user-facing production systems. Build infrastructure tooling, operate Kubernetes-based services, write IaC, participate in on-call and incident response, and advance observability and runbooks to reduce toil and improve platform reliability.

Lead platform engineering for high-scale, multi-region AWS payment infrastructure. Architect immutable, highly available, self-healing systems; automate infrastructure through Terraform, GitOps, CI/CD, and Kubernetes; establish observability with Prometheus, Grafana, and OpenTelemetry; own incident management and resiliency improvements; design private connectivity; and mentor engineers while driving organization-wide platform standards.

The Data Engineer is responsible for designing and optimizing data pipelines, ensuring data integration, and collaborating with teams on AI-driven applications.

The Sr. Machine Learning Engineer will design and deploy scalable ML systems, collaborate across teams, and ensure production readiness of ML models using modern frameworks and cloud services.

As a Software Architect at Air Apps, you will define the architecture for AI-powered solutions, lead engineering teams, design scalable systems, and ensure security and efficiency in system integration.

As a Site Reliability Engineer at Air Apps, you'll ensure systems' reliability and scalability, develop automation, monitoring, and performance strategies, and collaborate closely with teams on system design improvements.

As a Systems Administrator, you will manage IT infrastructure, user access, SaaS tools, network security, and provide technical support to employees.

As a Systems Administrator, manage corporate IT infrastructure, user access, cloud tools, and network security, while providing technical support and optimizing operations.

As a Release Engineer, you will manage release pipelines, versioning strategies, and coordinate with cross-functional teams to ensure efficient software deployment.

The Senior Forward Deployed Engineer will deliver technical solutions using AI, engage with customers, and lead project lifecycles while mentoring junior engineers.

Lead and implement platform architecture across Consumer Conversion, write and review production code, debug cross-system issues, drive release readiness and operational excellence, establish engineering standards and SLOs, coach engineers, and connect technical decisions to business outcomes.

Lead and deliver backend batch infrastructure work: own quarterly goals, design and build reliable scalable compute for batch workloads, collaborate with product and stakeholders, run ops/on-call, set code/design standards, mentor engineers, and drive platform reliability and performance.

Own go-to-market for Upbound’s AI inference portfolio, including positioning, messaging, competitive strategy, launches, enterprise buyer research, sales enablement, pricing input, and open-source-to-commercial narratives. The role requires customer-facing thought leadership through analyst briefings, executive preparation, public speaking, podcasts, and community engagement. Success requires deep B2B infrastructure product marketing experience, technical fluency, open-core experience, and the ability to launch emerging products rapidly.

Design and build distributed systems for a high-performance CI/CD execution platform. Responsibilities include orchestrating Supabase Branch lifecycle operations, provisioning ephemeral sandboxed environments on AWS, scheduling concurrent builds, optimizing pipelines through caching and artifact reuse, handling retries and failures, instrumenting observability, and developing configuration and infrastructure integrations. The role requires strong Go and TypeScript skills, cloud infrastructure experience, and a production operations mindset.

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.

Lead the architecture, scaling, reliability, and security of multi-region AWS infrastructure supporting high-throughput payment systems. Build immutable, self-healing environments with Terraform, Kubernetes, GitOps, CI/CD, and automated resiliency. Develop observability using Prometheus, Grafana, and OpenTelemetry; manage incidents and post-mortems; improve engineering velocity through Golden Paths and platform enablement; and mentor engineering teams on reliable infrastructure practices.

Lead the deployment of AI solutions for public sector clients, ensuring compliance with security standards while integrating AI into enterprise workflows.