Top AWS Jobs in Toronto

Lead multiple engineering teams for Advanced Product Designer. Drive architecture, delivery, and operational maturity of APD, ensuring scalable and secure services. Champion AI practices and integrate with adjacent capabilities to enhance the developer experience and product lifecycle management.

The Senior Software Developer will design, build, and maintain high-quality code for front-end and back-end services while optimizing system performance and mentoring team members.

Develop and maintain backend and web application features, fix defects, write tests and API documentation, follow SDLC and agile practices, collaborate in code reviews, and learn from mentorship to solve business problems.

The React Full Stack Developer will design, develop and maintain web applications, leveraging expertise in Java and JavaScript frameworks, specifically React, along with deep knowledge of cloud-native application development and microservices architectures.

Embed with client operators, learn and rebuild critical business processes, and deliver production GenAI/LLM systems on AWS. Own design, shipping, evaluation, and operational handoff while working cross-functionally with senior stakeholders to move business metrics.

The Senior Growth Platform Engineer will design and build scalable backend systems, APIs, and growth infrastructure to enhance experimentation and targeting capabilities for retailers.

Lead infrastructure strategy and architecture across AWS, platform engineering, deployment pipelines, and infrastructure as code. Build scalable cloud infrastructure, internal tools, automation, and backend services that improve developer productivity and operational efficiency. Partner with engineering and data teams, establish observability and operational best practices, mentor engineers, and make architectural tradeoffs balancing cost, performance, security, and development speed.

Define product strategy, vision, roadmaps, success metrics, and delivery plans for complex client engagements. Lead discovery, prioritization, stakeholder alignment, executive communication, and cross-functional collaboration across engineering, design, delivery, and strategy. Build trusted client relationships, facilitate workshops, mentor PMs, establish delivery standards, and resolve complex product and technical challenges. Apply AI tools such as Claude to accelerate research, discovery, synthesis, and documentation.

Lead architecture and implementation of an Identity Security Fabric for AI agents. Build scalable backend services, integrate complex APIs, enforce auth and least-privilege for agent access, drive AI-native engineering practices, improve CI/CD/observability, and mentor engineers while partnering with product and design to deliver enterprise-grade identity governance and protection features.

Own and improve AWS infrastructure, shared platform services, infrastructure-as-code workflows, Kubernetes deployments, observability, and operational reliability. Troubleshoot distributed systems, support incident response, establish infrastructure standards, and partner with engineering teams on resilient, scalable system design.

Build and operate production systems for agentic development experiences, including agent execution, tool use, context management, streaming, integrations, and long-running workflows. Extend provider-agnostic model architecture and connect agents with workspaces, tools, and developer infrastructure. Own projects through rollout, collaborate with Product and Design, participate in reviews, and improve system reliability, performance, and operability.

Build and operate mission-control software and distributed microservices supporting satellite scheduling, tasking, telemetry processing, and fleet operations. Responsibilities include designing HTTP APIs, selecting technologies, deploying critical infrastructure, maintaining automation, and collaborating with satellite operations, ground systems, pipeline, and product teams. The role requires Python, relational databases, testing, CI/CD, Docker, GitLab CI, Linux, and strong communication skills, with cloud, infrastructure-as-code, monitoring, microservices, and aerospace experience preferred.

The Senior Forward Deployed Engineer manages client relationships, architecting, building, and closing deals while ensuring autonomous delivery of AI solutions. Responsibilities include discovery, architecture reviews, and capability transfer to clients, requiring significant engineering and client-facing experience.

Design, deploy, and operate Microsoft 365, Defender, Intune, and hybrid Windows/Exchange infrastructures. Provide Tier 2/3 Windows support, system monitoring, patching, backups, security/compliance, and client-facing technical guidance. Maintain virtualization, cloud, storage, and networking components; document systems and support on-call/off-hours maintenance.

Lead and operationalize information security across systems, applications, and cloud. Manage SOC 2 and ISO 27001 audit cycles, vendor security assessments, incident response, security controls design, and compliance with privacy/regulatory requirements while partnering with technical and business stakeholders.

Lead and execute red team operations and adversarial simulations across applications, infrastructure, networks, offices, and processes. Perform threat modeling, vulnerability research, exploit development, and tooling automation. Collaborate with detection/response and engineering to evaluate defenses, document findings, recommend remediations, and mentor teammates while contributing to internal and external security knowledge.

Build and deploy applied machine learning models and data-driven systems that classify, cluster, label, and enrich Internet-observed assets. Develop feature pipelines, training datasets, evaluation frameworks, confidence scoring, and production inference services. Collaborate with engineering, research, security, and product teams to transform raw Internet telemetry into high-quality datasets and customer-facing insights.

Design and build secure, scalable developer-facing security products and automation. Architect services, APIs, and SPAs; implement CI/CD with security gates; integrate SAST/DAST and cloud security tools; build analytics and AI-assisted vulnerability triage; drive adoption via demos and workshops.

Industry Expert who reviews and defends advanced AI, ML, distributed systems, and forward-deployed engineering projects. Responsibilities include challenging architecture decisions, chairing mock review boards and executive presentations, hosting one or two technical sessions monthly, and serving as the escalation point for instructors. The role requires production-scale engineering judgment, strong technical communication, and expertise in agentic systems, LLM evaluation, infrastructure, observability, model serving, RAG, or enterprise deployments.

Perform manual penetration tests and security assessments (SAST/DAST) on web applications, networks, and cloud environments; develop remediation recommendations and security guidance; communicate findings to clients and senior management; promote secure development and cloud security best practices; supervise staff and manage engagements.

Design, build, deploy, and optimize production-grade AI systems, including LLM applications, autonomous agents, multi-agent workflows, machine-learning models, data and inference pipelines, and evaluation frameworks. Develop secure, scalable AI services using retrieval-augmented generation, tool calling, orchestration, and model fine-tuning. Monitor reliability, performance, safety, cost, and business outcomes while applying governance, observability, and responsible AI practices.

Own and scale Nango’s cloud platform, including compute, networking, data infrastructure, Kubernetes, IaC, and GitOps. Lead BYOC and private-cloud deployments, productize provisioning and upgrades, establish SLOs and incident processes, operate PostgreSQL, Redis, Elasticsearch, and ClickHouse, and oversee infrastructure security and compliance. Help shape product strategy while supporting a remote-first, autonomous engineering team.

Own and scale Nango’s cloud platform, including compute, networking, databases, Kubernetes, IaC, and GitOps. Lead BYOC and private-cloud deployments, improve provisioning and observability, establish SLOs and incident processes, and manage Postgres, Redis, Elasticsearch, and ClickHouse at scale. Drive infrastructure security and compliance for SOC 2, GDPR, HIPAA, and enterprise reviews while shaping product strategy and supporting a remote-first engineering team.

Design, deploy, and maintain AWS and Databricks data infrastructure, data lakes, and scalable ETL pipelines. Build custom ingestion services and connectors using Airbyte, Go, and Python; optimize performance, reliability, monitoring, and data quality. Implement cloud data governance, security, access controls, encryption, and compliance practices while collaborating with platform engineers, analysts, and stakeholders.

Lead end-to-end database migrations from Oracle/SQL Server to PostgreSQL for Guidewire Cloud. Design migration and cutover strategies, optimize performance, build automation and tooling (bash/Python), configure replication tools (AWS DMS, GoldenGate, transactional replication), validate and reconcile data, troubleshoot across application and network layers, and drive repeatable, low‑downtime migrations while collaborating with cross-functional teams.