Top Remote DevOps Jobs in Ogden, UT

The DevOps Engineer will manage build and deployment automation, improve platform health, and develop self-service tools while ensuring robust DevOps practices with AWS.

Build and maintain CI/CD pipelines, provision infrastructure with Terraform, and manage AWS cloud services and containerized environments. The role supports Kubernetes, Argo Workflows, AI engineering platforms, secure infrastructure baselines, and internal developer tooling. The engineer partners with architecture and development teams to deliver reliable, scalable infrastructure patterns while documenting decisions and collaborating in an Agile remote environment.

The DevOps Engineer will architect and automate cloud infrastructure with Terraform, oversee reliability, monitoring, and performance, support AI/ML environments, and implement security and compliance controls for SOC2 and PCI DSS. The role also involves developing internal tools, managing AI integrations, and supporting a PHP/Laravel platform. Candidates need at least three years of DevOps or SRE experience, infrastructure-as-code expertise, coding ability, database experience, and familiarity with AI/ML workloads.

Designs, builds, and scales automation for secure hybrid infrastructure. Responsibilities include CI/CD, infrastructure as code, cloud architecture, configuration management, monitoring, logging, security, network operations, containerization, and self-healing systems. The role maintains mission-critical production environments, develops performance metrics, resolves root causes, and collaborates cross-functionally to improve reliability and operational efficiency.

Designs, builds, and optimizes CI/CD pipelines across legacy mainframe and AWS environments. Automates workloads, integrates testing, maintains APIs, supports application integration, troubleshoots deployment issues, and improves DevOps processes. The role also supports software developers in an Agile/Scrum environment and contributes to modernization efforts bridging z/OS systems with cloud platforms.

Build and maintain cloud-based development, build, testing, deployment, and production infrastructure. Own platform systems using Terraform, Kubernetes, Vault, AWS, Docker, and CI/CD tools. Collaborate with engineers on a you-build-it-you-run-it platform, troubleshoot incidents, lead postmortems, address root causes, and automate improvements to enhance reliability, performance, and stability.

Lead the evolution of cloud-native infrastructure by architecting and scaling AWS EKS clusters, standardizing Helm deployments, managing Terraform and Terragrunt infrastructure, optimizing cloud costs, and improving observability, reliability, security, and access controls. The role leads cross-team engineering initiatives, establishes DevOps best practices, and mentors engineers while supporting GitOps workflows and scalable application delivery.

Design, implement, and operate CI/CD pipelines for mobile and backend services; maintain build/test/release processes with quality gates and artifact management; configure non-production environments; support release preparation and deployment coordination; integrate monitoring/logging and improve automation, performance, and reliability of delivery pipelines.

Lead design and operation of scalable AWS/GCP cloud infrastructure. Build and operate Kubernetes (EKS), Docker, Terraform/Terragrunt, Helm and GitOps workflows. Improve CI/CD with GitHub Actions and ArgoCD, implement monitoring and observability, strengthen security, disaster recovery, and developer self-service automation to improve platform reliability and productivity.

Lead the design, operation, and security of scalable AWS cloud infrastructure. Drive platform engineering, Infrastructure as Code with Terraform, CI/CD automation, observability, reliability, cloud security, and self-service capabilities. Partner across engineering and security teams, lead architectural decisions, mentor engineers, improve developer experience, and implement automation and AI-powered tooling to strengthen platform performance and operational excellence.

Own and improve the reliability of Kintsugi’s AWS and managed Kubernetes infrastructure. Build automation, internal tools, observability, CI/CD pipelines, and infrastructure-as-code workflows while reducing operational toil. Lead incident response, reliability architecture, developer enablement, cost optimization, security, compliance, and disaster recovery efforts. Work agent-first and partner with Platform Engineering, Product, QA, and software teams to deliver scalable, secure systems.

Lead design, deployment, and operation of Caldera's blockchain infrastructure. Build and expand DevOps pipelines, manage Kubernetes/AWS deployments, implement IaC (Terraform/Helm), enhance observability, optimize performance, and maintain infrastructure security for production rollup chains.

Design and operate scalable, secure, highly available AWS infrastructure for a revenue management platform. Build infrastructure automation, CI/CD tooling, monitoring, and developer tools; advise on architecture, improve reliability and security, troubleshoot 24/7 incidents, lead root cause analyses, support AI-enabled DevOps workflows, and mentor engineers. The role participates in a weekly on-call rotation and is remote in the US or Canada.

Owns uptime, cloud infrastructure, CI/CD pipelines, Infrastructure as Code, shared Linux environments, and incident response for live client applications across Azure, AWS, and Cloudflare. Responsibilities include provisioning environments, managing secrets and identities, maintaining monitoring and reliability practices, supporting releases and database migrations, responding to production incidents, and leading post-incident reviews. The role requires strong Azure DevOps, Bicep or Terraform, Linux, AWS, Cloudflare, and observability experience.

Build and maintain cloud and on-premises infrastructure, CI/CD pipelines, deployment automation, and infrastructure-as-code. Integrate DevSecOps practices, manage releases and rollbacks, and establish monitoring, logging, alerting, and observability. Collaborate with development, QA, and operations teams while supporting data-management processes and scalable systems across Azure and containerized environments.

As a DevOps Engineer, you will design and maintain cloud infrastructure, automate processes, and ensure system reliability and security.

Design, build, and maintain scalable, highly available AWS cloud infrastructure for healthcare SaaS services. Develop Infrastructure-as-Code deployments and CI/CD pipelines across environments, manage Kubernetes and serverless workloads, and own monitoring, alerting, observability, disaster recovery, and backups. Strengthen cloud security through IAM, WAF, KMS, secrets management, certificates, and logging. Contribute to system reliability, documentation, and on-call support while collaborating on secure, cost-efficient infrastructure solutions.

Designs and manages AWS cloud infrastructure and Amazon EKS platforms using GitLab CI/CD and Infrastructure as Code. Builds ETL workflows and scalable data pipelines for analytics and AI workloads, supports MLOps/AIOps and FinOps capabilities, troubleshoots Linux systems, and improves platform performance, security, scalability, and availability.

Build, secure, and operate AWS and AWS GovCloud infrastructure across commercial and government environments. Own CI/CD pipelines, Kubernetes and GitOps deployments, infrastructure as code, environment segmentation, secrets management, monitoring, incident response, database migrations, and compliance automation. Support FedRAMP, GovRAMP, and IL5 authorization requirements, collaborate with Security/GRC on audits and continuous monitoring, and improve reliability, scalability, and engineering productivity.

Build and operate Legion’s secure, scalable AWS and Kubernetes platform. Responsibilities include infrastructure automation, CI/CD, monitoring, alerting, incident response, operational runbooks, production support, and on-call participation. The role also develops production AI agents for SRE automation and owns a secure platform for engineering teams to build and operate agents with sandboxing, scoped credentials, integrations, cost controls, observability, and reliability guardrails.

Own and scale Bitsight’s SaaS cloud infrastructure, focusing on reliability, security, automation, and cost efficiency. Design complex systems, troubleshoot production issues, validate AI-assisted infrastructure automation, and improve delivery processes. Lead technical discussions, establish infrastructure best practices, mentor engineers, and collaborate across teams. The role requires strong Linux, scripting, containerization, cloud, infrastructure-as-code, networking, and observability expertise, with occasional off-shift production support.

Own and develop HPC/GPU infrastructure for R&D and customer deployments. Design cross-platform CI/CD pipelines, manage on-premise and cloud Kubernetes clusters with GPU passthrough and MIG, configure self-hosted GitHub Actions runners, and maintain DockerHub registries. Assemble and tune physical GPU servers, manage PCIe topology and hardware constraints, and maintain compatibility across NVIDIA drivers, CUDA, and ROCm versions. Provide customer-facing technical assistance for GPU container deployments.

Own the DevOps strategy, cloud infrastructure, platform engineering, CI/CD, GitOps, observability, reliability, security, and cost optimization across client engagements. Lead architecture and automation across AWS, Azure, and GCP; establish infrastructure and delivery standards; manage incident response and SLOs; advise clients; mentor engineers; support hiring; and drive continuous improvement using DORA metrics.

Design and evaluate cloud infrastructure, Kubernetes, IaC, AWS, and CI/CD solutions for GenAI training and inference environments. Create technical scenarios, reference solutions, evaluation rubrics, and feedback for AI-generated infrastructure outputs. Troubleshoot production Kubernetes and distributed-system failures while applying cloud architecture, security, reliability, observability, and operational best practices.

Architect and operate scalable, secure SaaS infrastructure supporting a cyber-incident response platform. Build CI/CD pipelines, manage multi-cloud infrastructure with Terraform, operate Kubernetes environments, improve reliability and observability, and maintain data pipelines, data lakes, databases, secrets management, and deployment automation. Ensure high availability and operational resilience during active customer cyberattacks.