Top AWS Jobs in Ottawa

Build and scale distributed backend services for growth infrastructure (notifications, referrals, targeting, lifecycle communications, ML ranking). Design resilient service-oriented systems on cloud, ship well-tested production code, run growth experiments/A-B tests, improve developer tooling and shared platform capabilities, and collaborate cross-functionally to deliver measurable acquisition and retention impact.

Build and operate ingestion and reconciliation pipelines that match card-network and partner reports against internal transactions. Develop reporting products, produce standardized journals for accounting, support tax and regulatory filing systems, handle sensitive PII for compliance, debug production issues, and collaborate with finance, product, and data teams to automate and scale reconciliation and reporting.

Design, implement, and operate scalable AWS network architectures (multi-account, multi-region). Build IaC (Terraform, CDK, CloudFormation), integrate with CI/CD, troubleshoot DNS/routing/firewall/VPN issues, automate with Python/Bash/PowerShell, monitor network health, and partner with application, platform, and security teams to ensure secure, reliable cloud connectivity and compliance.

Develop cross-platform desktop and full-stack web applications (Electron, React/Node.js), implement networking and telephony protocols (VoIP/SIP, XMPP, WebRTC), integrate audio/video codecs, and work with cloud services. Own assigned tasks, troubleshoot complex issues, and collaborate with global engineering teams to deliver secure networking/security features.

Design, implement, and support enterprise on-premises and cloud network infrastructures. Configure/manage firewalls, routers, switches, VPNs, SD-WAN, SASE, and virtual appliances. Collaborate with cloud/security teams, document designs and procedures, troubleshoot complex issues, and participate in onsite client implementations and design reviews.

Design, implement, and manage enterprise Linux and hybrid cloud infrastructures. Deploy and operate Kubernetes and container platforms, automate provisioning and CI/CD with IaC tools, monitor and troubleshoot systems, implement backup/DR and security/compliance controls, document configurations, and collaborate with development, DevOps, and security teams.

Build and deploy production AI/ML features for cybersecurity: design autonomous agent architectures and multi-agent workflows, select and optimize LLMs/SLMs, manage end-to-end ML pipelines, optimize inference and MLOps infrastructure, apply deep learning, time-series and GNN techniques for threat detection, and create automated benchmarking tied to business KPIs.

The Applied AI Backend Sr. Software Developer will design, develop, and maintain SaaS products, mentor junior engineers, and ensure robust backend services using AI tools.

Lead backend development for a cloud-native AI security SaaS: design and deploy scalable microservices and event-driven systems, own features end-to-end, validate AI-generated code for security, implement IaC and CI/CD, mentor engineers, troubleshoot distributed system issues, and collaborate with product, UX, and SRE teams.

Lead global deployment and operations for AI-powered building optimization solutions, overseeing customer onboarding, cloud-based technical deployments, AI-driven performance optimization, value verification, customer success, and a 100+ person team. Own operational financials, KPIs, compliance, cross-functional alignment, and internship recruiting partnerships to scale enterprise SaaS delivery and ensure renewal and expansion.

Manage and grow public sector accounts by selling hybrid IT solutions across cloud, managed services, and Microsoft/Cisco ecosystems. Build executive relationships, drive complex sales cycles, advise on AI and infrastructure strategy, collaborate with technical teams for delivery, and produce reporting and account plans to expand services and ensure client satisfaction.

Support mapping and analysis of a Military Personnel Management System capability: document As-Is/To-Be processes, elicit and trace business, functional, system, and data requirements, develop acceptance criteria, assess process redesign opportunities, analyze solution options, and contribute to governance, data artefacts, and integration deliverables to support MPMS modernization planning.

Lead mapping of a Military Personnel Management System capability by documenting As-Is/To-Be processes, data entities, integrations, and requirements; develop data dictionaries and conceptual models; support requirements elicitation, solution assessment, governance, and deliverables for MPMS modernization.

Architect and maintain scalable, secure systems; champion best practices (OO, DDD, microservices); drive code quality, secure SDLC, and data-driven solutions; mentor teams; leverage AI to improve developer workflows; work with analytics and data warehouse tooling.

Lead cloud cost visibility, forecasting, and optimization across AWS, Azure, and AI environments. Build and automate FinOps tooling and workflows, manage tagging and cost allocation, recommend and track savings plans/reservations, monitor anomalies, and collaborate with engineering and finance to drive cost efficiencies.

Lead strategy and operations for Magnet's cloud platform and shared services, ensuring reliability, security, compliance, cost governance, and developer experience. Oversee cloud infrastructure, observability, CI/CD, identity services, FinOps, AI enablement, vendor management, and cross-functional initiatives to support large-scale SaaS products.

Leads Redis’s Cloud Platform Engineering team in Vancouver, defining multi-year infrastructure strategy and building scalable, reliable platform services across AWS and GCP. Responsibilities include managing engineers, designing control planes and APIs, guiding Kubernetes and multi-cloud infrastructure, establishing observability and reliability standards, strengthening security and tenant isolation, and partnering cross-functionally. The role also champions LLM and AI-assisted development tools and contributes to company-wide platform strategy.

Designs and scales infrastructure for GenAI and LLM workloads across multi-GPU, cloud, and on-premise environments. Responsibilities include GPU profiling, distributed training optimization, Slurm and Kubernetes cluster management, NVIDIA stack enablement, GenAI pipeline deployment, infrastructure-as-code, CI/CD automation, self-service platform development, monitoring, and client-facing architecture leadership. The role mentors technical teams and collaborates with data science, MLOps, software engineering, and application teams.

Design and implement PHP backend features, APIs, integrations, and data models for a high-volume booking platform. Own service performance, scalability, reliability, and testing while helping migrate the platform to microservices and event-driven architecture. Lead technical decisions, refactor systems, document solutions, collaborate cross-functionally, mentor engineers, and promote engineering best practices. The role is remote and supports globally distributed teams.

Design, develop, test, deploy, and maintain scalable Java enterprise applications, Spring Boot microservices, REST APIs, and distributed systems. Build Kafka-based event-driven solutions, secure APIs, integrate databases, create CI/CD pipelines, containerize and deploy applications with Docker and Kubernetes, and monitor production systems. Collaborate with architecture, DevOps, QA, product, and engineering teams while contributing to system design, performance optimization, and AI-enabled application initiatives.

Designs and maintains scalable cloud and on-premise infrastructure, Infrastructure as Code, Kubernetes environments, CI/CD pipelines, data streaming, caching, observability, and incident response systems. The role owns AWS reliability and cost efficiency, supports progressive deployments, troubleshoots complex production issues, partners with software teams, and drives automation and continuous improvement across platform operations.

Designs, implements, and operates cloud networking (primarily Azure) and hybrid connectivity, integrating SaaS and on-prem systems. Automates deployments using Terraform, PowerShell, CLI and ARM templates, monitors performance and security, supports Kubernetes network environments, and collaborates with architects, DevOps, SRE, and cybersecurity teams.

Manage and support Windows and Linux production servers and AWS infrastructure. Maintain hosting platforms (Plesk, WordPress), handle onboarding/offboarding, incident response and on-call duties, improve documentation and processes, harden security (patching, access controls, audit logs), and automate repetitive tasks.

Lead backend development for AI-enabled SaaS: design scalable microservices, use AI coding assistants, own features end-to-end, enforce code quality/security, mentor engineers, and collaborate with product and SRE teams.

Design, build, test, and maintain Magnet One cloud platform features across front-end and back-end. Collaborate on architecture, perform code reviews, troubleshoot defects, and drive best practices for secure, performant, and maintainable software.