Top DevOps Jobs in Ottawa

Leads DevOps and platform engineering for an Azure SaaS platform, owning CI/CD, Terraform infrastructure, containerized deployments, scaling, rollbacks, security, observability, disaster recovery, and cost optimization. Builds infrastructure and pipelines for AI, machine learning, and data workloads while operating Azure services, Databricks, Elasticsearch, and API Management. Partners with Engineering, Security, NOC, and FinOps teams, mentors engineers, develops internal platforms, and drives reliability through KPIs and SLOs.

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.

Design, implement, and maintain on-premises CI/CD pipelines and build infrastructure using GitLab and Jenkins. Automate builds, testing, packaging, deployments, and release management. Administer repositories, manage runners/agents and artifact repositories, coordinate multi-team releases, maintain software baselines and traceability, and support hotfix/emergency releases. Monitor pipeline performance and troubleshooting build reliability and performance.

The DevOps Engineer designs and manages AWS cloud infrastructure, automates operations, develops CI/CD pipelines, and ensures robust monitoring and observability.

Designs, builds, and maintains cloud environments and CI/CD pipelines for scalable, reliable applications. Responsibilities include cloud platform assessment, infrastructure automation, container orchestration, application deployment, monitoring, vulnerability remediation, security safeguards, testing, documentation, issue tracking, and technical reporting. The role requires extensive Linux, scripting, cloud, integration, testing, and DevOps tooling experience, with at least five years supporting cloud platforms and CI/CD initiatives.

Owns the design, delivery, and sustainment of infrastructure, tooling, automation, and CI/CD for Assent’s Data and AI Platform. Builds scalable AWS infrastructure supporting Snowflake, dbt, Airflow, data pipelines, warehousing, orchestration, and AI/ML workloads. Partners with Data Engineering, establishes observability and incident response practices, governs access and security, and guides deployment and infrastructure best practices while contributing to broader DevOps standards.

Designs and operates scalable AWS infrastructure, builds containerized systems with Docker and Kubernetes, manages Terraform infrastructure as code, improves Jenkins and GitHub Actions CI/CD pipelines, and implements monitoring, logging, troubleshooting, and root cause analysis. The role partners with engineering teams to improve reliability, security, performance, and deployment workflows in complex SaaS environments.

Own and improve AWS infrastructure and platform services using IaC (Terraform/Terrateam). Support reliable cloud and Kubernetes deployments, enhance observability (metrics, logs, tracing), troubleshoot distributed systems, create standards and documentation, and partner with engineering teams on scalable, resilient design.

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.

Build and maintain production-scale infrastructure and automation: CI/CD, release automation, testing environments, monitoring and incident response. Improve scalability, tooling, and developer workflows; collaborate with engineers and QA and mentor peers to raise engineering infrastructure quality.

Build and operate secure, scalable, observable infrastructure for AI platforms, web applications, APIs, backend services, and shared platforms across Azure and OCI. Manage Kubernetes environments, cloud networking, CI/CD pipelines, infrastructure automation, databases, caches, queues, monitoring, incident response, reliability, and cost optimization. Translate technical designs into production-ready infrastructure and create reusable platform patterns. Collaborate with AI, application, and architecture teams while troubleshooting across application and infrastructure boundaries.

Design, build, deploy, and operate an internal AI platform and AI-powered developer workflows. Implement CI/CD for models, prompts, and evaluations; integrate Bedrock/agent frameworks; ensure security, observability, reliability, and cost/version controls; respond to incidents and participate in on-call rotations; promote AI best practices and lead architecture discussions.

As a DevOps Engineer, you'll automate backend infrastructure, streamline deployments, manage cloud services, and enforce security best practices for scalable and reliable systems.

The DevOps Engineer - Mobile will design and maintain CI/CD pipelines for iOS and Android apps, automate workflows, manage cloud infrastructure, and enforce security best practices.

The DevOps Engineer will design, automate, and maintain backend infrastructure, streamline deployments, manage cloud environments, and monitor systems to ensure reliability and cost-effectiveness.

As a DevOps Engineer Mobile, you will enhance CI/CD pipelines for iOS and Android, automate integration workflows, manage cloud infrastructure, and ensure security in mobile app deployment.

Designs and manages CI/CD pipelines, cloud-agnostic infrastructure, containerized applications, monitoring, and automated deployment systems across AWS, Azure, GCP, and on-premises environments. The role uses Terraform, Kubernetes, Ansible, Docker, scripting, and infrastructure-as-code practices to improve reliability, scalability, security, and operational efficiency. Responsibilities include troubleshooting, system hardening, network and virtualization management, tool integration, automated testing, and evaluating DevOps technologies.

Designs and manages CI/CD pipelines, cloud-agnostic infrastructure, containerized applications, monitoring, and automation across AWS, Azure, GCP, and on-premises environments. The role involves infrastructure as code, system hardening, troubleshooting, networking, virtualization, scripting, automated testing, and evaluating DevOps tools. Candidates collaborate with stakeholders throughout the software development lifecycle and must be eligible to work in Canada and obtain Canadian government security clearance.

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.

Design, build, and operate secure, tenant-isolated cloud infrastructure and CI/CD for an AI-native multi-tenant platform. Implement observability, policy-as-code, SLAs, incident response, and automate provisioning (Terraform/Helm). Support deployment, monitoring, and secure operations for ML/agent systems at scale.

The Full Stack Developer role involves building and maintaining cloud-based applications and services, optimizing deployments, and enhancing workflows across the tech stack with a focus on AWS and automation.

Own CI/CD pipeline architecture, Salesforce sandbox and branching strategies, release governance, automated testing, and deployment processes across Salesforce environments. Introduce AI-assisted development and delivery tools to improve testing, code review, and deployment risk detection. Troubleshoot Salesforce deployment failures and manage metadata-heavy repositories using Git, Salesforce CLI, and DevOps platforms.

Designs and optimizes scalable cloud infrastructure, CI/CD pipelines, and infrastructure-as-code systems. Automates provisioning, configuration, and software delivery across environments while improving reliability, observability, incident response, performance, and security. Collaborates with Software Engineering, Security, SRE, and Product teams to maintain highly available infrastructure and ensure compliance with organizational standards.

Own and improve security posture, design and maintain scalable AWS infrastructure with Terraform, embed with product teams to bake security into CI/CD, operate containerized workloads, and participate in on-call incident response to ensure resilient, high-volume browser rendering services.

Develop and maintain infrastructure for software development and AI operations, manage CI/CD pipelines, and automate configurations using various tools.