Top DevOps Engineer Jobs in Vancouver

Lead the design, development, scaling, and optimization of highly available AWS cloud infrastructure and Kubernetes environments. Build Infrastructure as Code, CI/CD pipelines, monitoring, automation, and operational tooling using technologies including Terraform, Jenkins, Prometheus, Go, Python, and Bash. Provide technical leadership, mentor engineers, troubleshoot production infrastructure and networking issues, improve system reliability and performance, and participate in an on-call rotation.

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.

Build and maintain internal web systems and automation frameworks. Implement CI/CD pipelines, automated testing (Behave/Selenium/Pytest), RESTful APIs, Python services, containerization, and documentation while collaborating across teams to scale workflows.

Design, build, and maintain application build/provisioning pipelines and tooling. Automate provisioning and deployments with Ansible, Terraform, and Kubernetes. Implement monitoring and alerting (Zabbix, Grafana, Prometheus, Elastic/OpenSearch). Troubleshoot incidents, participate in response and post-mortems, and collaborate with engineering teams to support large-scale global services.

The DevOps Engineer will design and maintain cloud infrastructure, implement CI/CD pipelines, automate processes, and ensure security and observability for reliable systems.

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.

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.

The DevOps Engineer will enhance Later's cloud infrastructure and MLOps capabilities, focusing on AWS, Kubernetes, CI/CD processes, and automation to support application delivery and data workflows.

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.

Own and operate the delivery platform and embed with an engineering team to improve deployment automation, CI/CD, GitOps, IaC, and production reliability. Lead AI-augmented ops (runbooks, alerting, incident response), build environments, set standards, tune streaming and datastore infrastructure, and mentor teams while tracking DORA and reliability metrics.

Lead deployment, monitoring, maintenance, and troubleshooting of FortiCare/FortiCloud applications across dev, staging, and production. Execute after-hours production deployments, provide 24x7 on-call support, and collaborate with networking, infrastructure, and QA teams to resolve issues.

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.

The DevOps Engineer will design, build, and enhance cloud and automation platforms, collaborating with development teams to implement secure and scalable DevOps solutions.

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.

Design, maintain, and optimize Unreal Engine build pipelines and CI/CD tooling; manage and secure cloud (AWS/Azure/GCP) and on-prem infrastructure; implement automation, monitoring, and release workflows; provide on-call incident response and cross-team DevOps guidance; champion best practices.

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.

Design, implement, and operate hybrid-cloud and on-prem infrastructure; build and maintain CI/CD pipelines (including hardware-based); integrate monitoring and security controls; respond to incidents and perform root-cause analysis; improve service reliability and participate in on-call rotation.

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.