Top AWS Jobs in Ottawa

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.

Manage cloud and IT projects from planning through delivery using Agile methodologies. Responsibilities include developing project plans, managing scope, schedules, budgets, risks, issues, backlogs, and client communications. The role requires facilitating customer discussions, maintaining project reporting and compliance, driving business outcomes, and supporting cross-functional initiatives while building strong client relationships.

Leads platform engineering architecture for scalable, secure, highly available AWS solutions. Designs pipeline infrastructure and integrations across RPA processes, ERP and third-party applications, internal services, and downstream systems. Defines API, IAM governance, networking, infrastructure-as-code, CI/CD, DevSecOps, monitoring, observability, disaster recovery, and integration architectures. Provides technical leadership, stakeholder management, documentation, architecture reviews, mentoring, and engineering best practices in a remote Canadian environment.

Architect and build AI-enabled cloud infrastructure for agentic AI platforms, primarily on AWS with Azure as a secondary platform. Responsibilities include cloud account and environment design, SDN micro-segmentation to isolate rogue agents, centralized policy and control planes governing agent access and actions, and Infrastructure-as-Code automation using OpenTofu, Terramate, Ansible, and GitHub Actions.

Owns partner-sourced and self-generated enterprise sales motions for AI consulting engagements. Manages Anthropic and AWS relationships, qualifies leads, runs discovery through signed SOW, develops co-selling opportunities, maintains joint pipelines, and leads partner business reviews. Independently prospects and closes Financial Services and Life Sciences accounts, collaborates with delivery architects on solution scoping, and provides market intelligence to leadership and marketing. Travel of up to 40% is required.

Sources and qualifies new business opportunities across North America, builds sales pipelines, conducts outbound prospecting, leads discovery conversations, and partners with leadership to close consulting and technology services deals. The role focuses on selling AI and cloud solutions to mid-market and enterprise clients, requires independent prospecting and negotiation skills, and includes attendance at industry events and client meetings with approximately 40% travel.

Lead architecture and technical direction across product and platform teams. Design scalable, reliable cloud systems, establish engineering standards, solve complex modernization and distributed-systems challenges, support FedRAMP readiness, and mentor engineers. Guide multi-region deployments, disaster recovery, observability, data migrations, performance tuning, and production incident resolution while influencing roadmaps and driving cross-team execution.

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.

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.

Design, build, deploy, and maintain scalable features for GoodTime’s hiring intelligence platform. Investigate customer-reported bugs, improve performance and stability, collaborate with Product and Design, contribute to the technical roadmap, demonstrate new functionality, and own projects from concept through release. The role emphasizes JavaScript/TypeScript, React, customer-centric architecture, test-driven development, and continuous learning.

Build and deliver production-grade AI applications, automations, and cloud-native systems within client environments. Own assigned workstreams end-to-end, translate ambiguous problems into scoped solutions, contribute to discovery and architecture sessions, identify risks, and transfer durable capabilities to clients. Forward Deployed Engineers collaborate with technical and business stakeholders, prototype rapidly, document reusable patterns, and may support AI enablement programs across functions such as Finance, HR, Legal, and Supply Chain.

Build scalable, high-performance consumer applications using computer vision and 3D experiences. Lead projects from concept through launch, own front-end systems, participate in architecture and design discussions, mentor engineers, improve development practices, support partners, and contribute to hiring and engineering culture.

Build scalable, high-performance front-end solutions for 3D interior-decor experiences using computer vision. Collaborate with product, design, stakeholders, and engineering teams to deliver customer-focused features. Own systems through development, deployment, operation, and continuous improvement while supporting partners and maintaining high quality. The role offers mentorship and growth in a remote-first environment.

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.

Own security for cloud and ML infrastructure, including tenant isolation, GPU cluster security, model protection, vulnerability management, network segmentation, monitoring, access governance, and credential management. Lead infrastructure security projects and establish technical standards and guardrails in partnership with Security, DevOps, Engineering, IT, and ML teams. The role also supports incident response, CSPM, sandboxing, container isolation, and SOC 2 readiness.

Build and evolve Wealthsimple’s vulnerability management platform, including scanner integrations, automated triage, ticket routing, ownership resolution, SLA tracking, remediation workflows, dashboards, and reporting. Integrate AWS, CI/CD, Kubernetes, container, and security tooling while improving attack-surface risk assessment. Help develop AI-assisted workflows that validate findings, generate fixes, and create pull requests. Partner with developers, support compliance controls, and connect vulnerability management with threat intelligence and responsible disclosure programs.

Lead DevOps architecture and technical strategy across engineering teams. Design and optimize enterprise CI/CD pipelines, highly available AWS and Azure cloud environments, Kubernetes and Docker platforms, and Infrastructure-as-Code solutions using Terraform and CloudFormation. Improve automation, observability, reliability, security, disaster recovery, and operational excellence while mentoring engineers and partnering with Engineering, Product, Security, and Operations teams across a global SaaS ecosystem.

Design and build a next-generation reliability platform for production systems, lead delivery of quarterly goals, collaborate across product/design/analytics, support operations and on-call, set code and design standards, mentor engineers, and integrate AI/LLM-assisted tooling to improve service health and debugging.

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.

Lead the technical vision and scaling of Jane’s AWS infrastructure. Design highly available, multi-region systems, operate databases at scale, improve platform reliability, reduce alert noise, strengthen security and compliance, and guide other engineering teams on cloud architecture. Drive ambiguous, cross-team infrastructure initiatives, build consensus, participate in on-call rotations, and help the team use AI tools responsibly.

Build highly available, scalable distributed systems and real-time data services supporting Internet-wide scanning, DNS resolution, certificate ingestion, security research, and customer applications. Responsibilities include developing data pipelines, messaging systems, databases, caching layers, tooling, frameworks, and cloud or on-premises services; productionizing prototypes; and collaborating with engineering, product, machine learning, and security teams. The role emphasizes maintainable, testable code, reliability, monitoring, and long-term platform development.

Build highly available, scalable distributed systems and real-time services supporting Internet-wide scanning, DNS resolution, certificate ingestion, data pipelines, messaging, databases, caching, and APIs. Productionize prototypes, develop reusable tooling and platform capabilities, maintain cloud and on-premise systems, and collaborate with engineering, product, machine learning, and security teams.

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.