Top DevOps Jobs in Calgary

Manage and optimize multi-cloud infrastructure across Azure and AWS, including containerized services, databases, gateways, monitoring, and serverless systems. Build CI/CD pipelines and infrastructure-as-code automation using Terraform and CDK. Improve platform performance, scalability, observability, security, compliance, and cost efficiency. Collaborate with Development and QA on automated testing and deployments, respond to incidents, and advance AI-enabled operational practices such as AIOps and agentic SDLC workflows.

Develops and supports Microsoft Azure platform capabilities, including AKS, infrastructure automation, CI/CD, observability, secure deployment, and platform reliability. Translates government and stakeholder requirements into maintainable technical solutions; troubleshoots platform, code, data, identity, security, and performance issues; supports architecture, releases, testing, documentation, and production transitions while collaborating with cybersecurity, QA, operations, and business teams.

Designs and documents scalable multi-tenant cloud architectures for federal systems, maintains CI/CD pipelines and infrastructure configuration, implements Zero Trust and encryption controls, supports API integrations, conducts vulnerability scanning, and helps ensure availability, compliance, security assessments, and ATO readiness.

Designs, implements, and sustains AWS cloud platforms, Kubernetes environments, HashiCorp automation, CI/CD pipelines, observability, and secure deployment practices. Translates stakeholder requirements into maintainable platform capabilities, troubleshoots complex infrastructure and application issues, supports Agile planning and production transitions, and develops reusable automation, documentation, testing evidence, and operational runbooks for government digital services.

Own production reliability and infrastructure operations for the GrayKey cloud platform. Responsibilities include AWS monitoring, incident response, vulnerability remediation, networking, IAM and Okta administration, EKS and Argo CD operations, backups, recovery testing, Terraform changes, cost optimization, automation, documentation, and compliance support. The role requires independent work during Pacific and Mountain time-zone hours and involves less than 5% travel.

Owns end-to-end DevOps, cloud infrastructure, CI/CD, Kubernetes, Infrastructure as Code, monitoring, security, reliability, and production operations. The role designs automated deployment processes, manages cloud environments, troubleshoots complex infrastructure and networking issues, implements observability and disaster recovery, optimizes cloud costs, and guides engineering teams on secure, scalable DevOps practices.

Leads technical direction for GitLab’s Core DevOps services, covering CI, CD, planning, and source control. Defines architecture, quality metrics, migration strategies, and technical roadmaps; addresses systemic risk and complex design decisions; prototypes and writes code when needed; partners with Infrastructure, Security, SRE, and Product; adopts AI capabilities; mentors senior engineers; supports incident response and senior technical hiring.

Supports multi-cloud infrastructure for software, fonts, and training tools serving minority language communities. Responsibilities include administering Kubernetes, managing public and private cloud environments, monitoring system health, improving infrastructure, testing disaster recovery plans, orchestrating cloud resources, and troubleshooting with development teams. The role also provides training and requires experience with virtual servers, containers, Linux and Windows administration, scripting, cloud networking and security, infrastructure as code, and automated provisioning.

Design, automate, and maintain scalable, secure cloud infrastructure and CI/CD pipelines. Monitor system reliability and performance, respond to incidents, conduct postmortems, enforce SLAs, plan capacity, optimize costs, and implement security and compliance practices. Collaborate with Engineering, Product, and Design teams to resolve scalability and development lifecycle challenges while driving continuous operational improvement.

Leads cross-team backend initiatives and technical architecture for GitLab’s Core DevOps platform. Responsibilities include modernizing a monolith, establishing service, API, data, security, testing, and observability standards, guiding Go and Kubernetes practices, supporting Rust adoption, participating in incident response, mentoring engineers, reducing technical debt, and advancing AI-assisted engineering workflows.

Designs, implements, and manages secure AWS and Azure cloud infrastructure. Integrates security into CI/CD pipelines, automates configuration management, monitors vulnerabilities, conducts security audits, supports incident response, and ensures compliance requirements. Collaborates with development and cross-functional teams to deliver secure cloud solutions. Requires extensive DevOps experience, cloud certifications, infrastructure-as-code expertise, scripting skills, containerization knowledge, and the ability to obtain Public Trust clearance.

Supports software development, DevOps, BI reporting, database work, testing, deployments, documentation, and Agile ceremonies for a federal IT modernization project. The role assists with CI/CD pipelines, dashboards, data visualizations, SQL queries, data modeling, and application development while collaborating with senior developers, architects, data scientists, and DevOps engineers. The position is fully remote within the continental United States and requires the ability to obtain a DOI Public Trust Moderate clearance.

Owns cloud infrastructure strategy, AWS multi-account architecture, Terraform IaC, GitLab CI/CD, Kubernetes or ECS platforms, observability, security, compliance, Cloudflare connectivity, FinOps, and governance. Designs resilient multi-region systems, leads incident response and cloud migrations, improves deployment velocity, manages infrastructure automation, and mentors engineering team members.

Develop and maintain full-stack applications, backend services, APIs, integrations, and internal tools while managing AWS cloud infrastructure, CI/CD, containers, databases, observability, and automation. The role requires production troubleshooting, security and reliability improvements, developer workflow enhancements, and collaboration across Product, QA, DevOps, Customer Support, and Development teams. The developer will use Python, JavaScript/TypeScript, Go, React, AWS, Docker, Kubernetes, infrastructure as code, and modern monitoring tools to deliver scalable cloud-platform solutions.

Design, build, and operate highly available Azure and AKS infrastructure using Terraform. Develop secure CI/CD pipelines, manage Kubernetes clusters, implement monitoring and observability, troubleshoot complex infrastructure issues, and maintain multi-region disaster recovery. The role also involves cloud security, secrets management, networking, database resilience, infrastructure automation, and collaboration with application engineering teams to establish operational standards.

Designs, develops, and maintains scalable cloud infrastructure and DevOps platforms. Responsibilities include monitoring, architecture, infrastructure as code, Terraform and Kubernetes management, CI/CD pipelines, disaster recovery, backup solutions, and operational automation. The role also requires troubleshooting, stakeholder communication, cross-functional collaboration, and maintaining highly available systems across global teams.

Designs, operates, and improves AWS and Azure cloud infrastructure supporting customer-facing higher education products. Owns Kubernetes platforms, infrastructure as code, deployment automation, CI/CD, monitoring, security, reliability, disaster recovery, and cost optimization. Troubleshoots complex infrastructure and application issues, leads incidents, participates in on-call rotations, mentors engineers, contributes to technical standards, and partners across Development and Information Security on modernization and production readiness.

Leads enterprise DevOps and cloud infrastructure strategy, building CI/CD pipelines, Infrastructure as Code, automation, observability, and secure software delivery platforms. Partners with engineering, quality, and product teams across development through production environments. Supports disaster recovery, security-by-design, reliability testing, troubleshooting, and operational improvements. Mentors engineers and drives DevSecOps, SRE, and platform engineering maturity across a global organization.

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

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.

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.

Operate and scale global customer-facing SaaS infrastructure on GCP: design resilient architectures, run and upgrade GKE clusters, implement CI/CD/GitOps, monitor and troubleshoot performance, ensure security/compliance, and coordinate cross-functional releases and incident response.

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.

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.