Top AWS Jobs in Ottawa

Lead architecture and evolution of Juniper Square’s distributed services, cloud infrastructure, and developer platform. Design scalable, multi-tenant, event-driven systems; build paved-road developer tooling, CI/CD, and observability. Hands-on coding, prototyping, and performance troubleshooting. Enable production AI/LLM workloads, ensure security/compliance, support enterprise upmarket needs, and mentor engineering teams to raise operational excellence and reliability.

The Senior Full Stack Developer will enhance Practice Better's AI-powered platform by developing software solutions, collaborating with teams, and optimizing performance.

Lead platform engineering to improve developer productivity, CI/CD, build systems, monorepo health, and internal tooling (80%); contribute to product features, scalable APIs, and AI-native marketplace infrastructure (20%).

Lead a small technical team as a Systems Administrator, overseeing IT operations, cloud infrastructure, security practices, and incident response, while improving automation and service delivery.

The role involves redesigning AWS infrastructure, planning migrations, implementing security guardrails, and managing operating systems and networking at scale.

Lead design and delivery of cloud-based data architectures and ETL/ELT pipelines for marketing analytics. Advise clients, integrate marketing data, build and optimize pipelines and reusable models, ensure data quality/security, mentor team members, and align technical solutions to business goals.

Lead design, build, and automation of AWS infrastructure using Terraform; create and improve CI/CD pipelines; support a multi-tenant SaaS platform for reliability and security; integrate AI tooling, AI agents, and MCP servers into DevOps workflows to boost delivery speed and reduce toil; establish monitoring, access control, and operational best practices; collaborate with cross-functional teams and communicate with stakeholders.

Design and implement core backend systems for a new AI-first SaaS platform using C#/.NET, Event Sourcing, CQRS, DDD and RabbitMQ; build cloud-native, containerized services on AWS with PostgreSQL; apply agentic AI tools to accelerate delivery; lead architecture, mentor engineers, and ensure reliable, well-tested production software.

Work directly with clients to scope, prototype, and deploy AI-powered workflows. Build scalable systems using LLMs, embedding and retrieval systems, and backend infrastructure. Translate messy data and operational constraints into production-ready solutions, iterate with stakeholders, and maintain deployed systems (including on-call support).

Own partner-sourced and self-sourced enterprise sales motions: convert Anthropic/AWS partner leads to signed SOWs, prospect new logos in Financial Services and Life Sciences, run full sales cycles, maintain joint pipelines and co-sell activities, and coordinate with delivery and architecture teams to scope consulting engagements.

Develop and deploy generative AI and LLM solutions end-to-end for e-commerce: research models, build ETL/data pipelines, run distributed training and experiments, collaborate with product and engineering to deliver production systems that improve recommendations, search, personalization, and customer interactions.

Build reusable client-side JavaScript/CSS SDKs and multi-tenant frontend architecture. Develop high-performance React/Next.js applications with Tailwind CSS, implement SSR/SSG/ISR, integrate with REST/GraphQL backends, optimize performance, and support backend data modeling, cloud deployment (AWS/GCP), CI/CD, and production monitoring.

Lead design, build, and deployment of production-grade Databricks data platforms across AWS/Azure. Architect scalable ETL/ELT pipelines with Spark/PySpark, manage Delta Lake and Unity Catalog, implement CI/CD and IaC, provide client-facing technical leadership, and mentor engineering teams.

Owner of cloud infrastructure and reliability for a distributed microservices platform: design and maintain Azure infrastructure with Terraform, manage Kubernetes/Helm deployments, build CI/CD pipelines and observability, operate PostgreSQL at scale, lead incident response and postmortems, and support migration from legacy .NET/MSSQL to a cloud-native stack.

Design and build scalable full-stack web applications and APIs, drive architecture across frontend and backend, partner with product and design, mentor engineers, improve developer productivity with tooling and AI-assisted workflows, and migrate legacy systems into modern platforms.

Drive technology strategy and architecture across the product portfolio, delivering scalable, secure cloud-native SaaS and endpoint solutions. Champion AI-driven approaches, lead design reviews and PoCs, provide technical leadership, collaborate with product and business stakeholders, and support production systems including on-call troubleshooting and root cause analysis.

Build and maintain AWS infrastructure using Terraform, CI/CD pipelines with GitHub Actions, and multi-region Kubernetes clusters. Improve Helm charts, observability, security, and developer experience while collaborating with product teams and participating in business-hours on-call rotation.

Design, build, train, and deploy production ML models and scalable pipelines. Implement MLOps practices, observability, governance, and lineage. Optimize model performance and costs, collaborate with product, risk, and engineering teams to integrate ML features into production systems.

Lead and grow a remote AI engineering organization, manage ~30 forward-deployed engineers, maintain technical standards for agentic full‑stack applications, review architectures, run performance management and hiring, support client engagements, and drive team enablement, evaluation harnesses, and MLOps practices.

Build, architect, and own moderate-to-complex backend components; lead small teams or projects; provide technical guidance and code reviews; deliver end-to-end backend services focused on AI-enabled customer data insights, onboarding, messaging/calling features, and scalable data management for a growing user base.

Design and build scalable full-stack web applications and APIs, drive architecture across frontend and backend, partner with product and design, mentor engineers, improve developer productivity via tooling and AI-assisted workflows, and migrate legacy systems to modern platforms.

Senior Windows-focused Platform Engineer responsible for administering Windows server environments, supporting IBM FileNet/DataCap/BAW/ICN applications, ensuring security and performance, implementing monitoring, troubleshooting production issues, documenting systems, and collaborating with internal teams and clients to improve platform stability and processes.

Design and build AI-powered internal accounting tools and integrations. Own architecture, security, and code quality; translate accounting processes into production-grade backend systems; collaborate with product and accounting staff; document systems and scale tools responsibly.

Own and patch Chromium/Firefox C++ source to build an in-house stealth browser. Fix fingerprinting at the engine level (navigator, WebGL, canvas, fonts, Client Hints), eliminate CDP leaks, maintain per-OS fingerprint profiles, continuously rebase patches, build validation tooling, and debug detection issues to keep automation indistinguishable from real users.

The GPU Cloud Platform Engineer designs and operates multi-cluster GPU infrastructures for AI workloads, ensuring performance and efficiency across cloud environments.