Top DevOps Jobs in Las Vegas, NV

Build and maintain CI/CD pipelines and IaC, harden prototype and AI-generated apps for production, implement DevSecOps practices, automate integrations across teams, design and troubleshoot APIs, and support compliance and security workflows.

Design, build, and manage scalable AWS infrastructure; optimize GitHub-centric CI/CD; implement observability stacks; automate compliance for GovRAMP/FedRAMP and SOC2; author audit-ready documentation and runbooks; collaborate with engineering and security teams to ensure high availability and reliability.

The Principal DevOps Engineer will lead the design and operation of CI/CD pipelines, platform reliability, and compliance for software deployment, while influencing DevOps practices and simplifying operational management across teams.

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

The DevOps Engineer at TensorWave will develop platform integrations, build services and tools for automation, and ensure reliable system performance across multiple infrastructure systems, focusing on production-quality software development.

As a Site Reliability Engineer II, you will build, test, and maintain the technology infrastructure for Openly's insurance platform, focusing on automation, monitoring, incident response, and operational decisions.

The role involves setting up and managing cloud infrastructure, implementing CI/CD pipelines, and programming in modern languages with a focus on DevOps practices.

Lead architecture, implementation, and optimization of Azure cloud infrastructure across multiple subscriptions. Build IaC standards and automation, mentor engineers, support mission-critical applications, improve deployment speed and cost control, monitor system health, participate in on-call rotation, and collaborate with cross-functional teams to deploy scalable, secure, production-grade systems.

Design, maintain, and operate AWS-based Kubernetes (EKS) infrastructure and CI/CD pipelines. Build Terraform IaC and Helm charts, manage IAM and cross-account access, troubleshoot cloud and Kubernetes issues, automate tooling in Python or Go, and improve platform reliability, security, and observability while supporting cross-functional engineering teams.

The Cloud DevOps Engineer will build, automate, and secure cloud platforms, implementing Infrastructure-as-Code and CI/CD automation in Azure and Kubernetes environments while enhancing operational excellence and resiliency.

The Azure DevOps Engineer will design and manage Azure-based multi-tenant environments, automate CI/CD pipelines, ensure compliance, and collaborate with cross-functional teams.

Design, implement, and manage Azure-based environments, automate CI/CD pipelines, ensure security compliance, and collaborate with cross-functional teams.

Own CI/CD, reliability, and deployment infrastructure for GTM systems (Salesforce, NetSuite, MuleSoft, Workato) and AI agent workloads on GCP and AWS. Build pipelines, observability, environment lifecycle, secrets management, IaC, container security, and runbooks. Partner with developers, Security, and IT to enforce guardrails, perform incident RCAs, and automate tooling to increase deployment safety and velocity.

As a DevOps Engineer at Quokka, you'll automate and manage systems in Azure, enhance application pipelines, collaborate with engineering teams, and implement CI/CD best practices.

Support CI/CD pipelines, deployment automation, release management, and infrastructure automation for cloud-based analytics. Maintain dev/test/prod environments, monitor and troubleshoot systems, ensure operational readiness, assist migrations and modernization, and produce technical documentation and operational procedures.

The DevOps Engineer will design, build, and optimize cloud infrastructure and automation, ensuring security, scalability, and compliance for data protection solutions.

As a DevOps Engineer V, you will lead cloud-native infrastructure design, manage Kubernetes and AWS EKS platforms, mentor engineers, and ensure operational excellence across cloud-based workloads.

Design, build, monitor, and maintain on-prem and cloud infrastructure for enterprise production systems. Improve automation, CI/CD pipelines, performance, and incident root-cause analysis while collaborating with development, operations, and security teams.

Build, automate, and maintain CI/CD pipelines, Infrastructure as Code, and deployment tooling for cloud-native and containerized applications. Collaborate with platform and SRE teams to improve observability, security, reliability, and release readiness while reducing manual toil through automation.

Maintain and automate Linux systems, troubleshoot issues, build CI/CD pipelines with Jenkins/Ansible, manage configuration and patching, work in secure OCI environments, and document processes.

Design and develop cloud automation, release management, and software infrastructures for new and legacy systems using multiple programming languages and cloud technologies.

The Microsoft DevOps Engineer manages Windows application environments, ensures compliance with security protocols, automates processes, and maintains infrastructure for enterprise websites, requiring 10 years of IT experience and strong Windows/.NET skills.

Build and maintain CI/CD pipelines, manage production Kubernetes clusters, containerize services, implement Infrastructure as Code, maintain version control, configure monitoring/alerting, and support DoD cloud and cybersecurity compliance to ensure resilient deployments of the LEXSO platform.

Lead the CI/CD platform delivery and reliability using Azure DevOps; define IaC/Terraform standards and multi-cloud AWS patterns; run zero-downtime and multi-region deployments; own observability, security scanning, and secrets management; evaluate AI/LLM platform needs; manage offshore senior developers and report roadmap, risks, and delivery metrics to engineering leadership.

Design, provision, and operate AWS infrastructure for AI/HPC workloads across environments. Build and maintain IaC, CI/CD, observability, and scaling patterns. Troubleshoot networking, compute, storage, participate in incident response, document architecture and runbooks, and optimize cost and reliability.