Top DevOps Jobs

The DevOps Engineer will support AWS Access through deployments and provisioning, requiring hands-on experience with AWS, Python, and Lambda.

Salesforce DevOps Engineer responsible for implementing scalable solutions, continuous delivery, monitoring, and supporting the release process from development to production.

The DevOps Engineer will manage Hyper V skills, SCVMM administration, Windows administration, provide application support, and troubleshooting. Familiarity with Azure and scripting languages is essential.

The DevOps Engineer will design, automate, and manage cloud-native infrastructure, specifically focusing on Kubernetes, CI/CD pipelines, and GCP operations.

The DevOps Engineer will design, automate, and scale cloud-native infrastructure, manage Kubernetes clusters, implement CI/CD pipelines, and optimize Google Cloud Platform operations.

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.

The DevOps Engineer will build and maintain a DevSecOps Platform, automate deployment, ensure security compliance, and support disaster recovery.

Design, deploy and maintain observability platform infrastructure; collaborate with product and support to define deployment best practices; work on-site with clients to implement and support stack; improve manageability, security, and automation of deployments across cloud and hybrid environments.

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.

The DevOps Engineer will implement infrastructure, automate deployment processes, manage Kubernetes containers, and ensure service reliability, scalability, and continuous improvement.

The DevOps Engineer will develop and manage cloud infrastructure on AWS, automate deployment processes, and ensure system reliability while supporting application integration and performance improvements.

The DevOps Engineer will automate deployment processes, manage AWS infrastructure, troubleshoot systems, and collaborate with development teams to enhance reliability and scalability.

The DevOps Engineer will automate deployment processes, manage cloud infrastructure, and collaborate with development teams to ensure reliable services. This role involves troubleshooting, monitoring systems, and continuous improvement of processes.

The role involves enhancing Salesforce's GovCloud infrastructure through automated CI/CD pipelines, troubleshooting, and ensuring security compliance while collaborating with internal teams to support government customers.

As a Lead DevOps Engineer, you will design and implement scalable solutions using AWS while overseeing the automation of deployment processes and managing infrastructure as code.

The Cloud DevOps Engineer will develop and manage cloud solutions for the U.S. Intelligence Community, focusing on AWS and other cloud technologies while collaborating with stakeholders.

The Sr. Cloud DevOps Engineer will implement security techniques, troubleshoot issues, design software solutions, and support ongoing code reviews in a collaborative environment.

Build, automate, manage, and secure cloud infrastructure and CI/CD pipelines for cloud-native web applications. Support Dockerized Linux workloads and Azure services, troubleshoot deployments and pipelines, improve reliability and security, and collaborate with developers, architects, and security teams to create repeatable deployment and infrastructure patterns.

Design, build, and maintain platform infrastructure and DevOps pipelines. Implement and manage CI/CD, container orchestration, IaC, and cloud-based services. Troubleshoot containerized workloads, improve platform efficiency through scripting, and collaborate with stakeholders to scale secure, automated development environments in a government-cleared setting.

Operate and optimize AWS ECS containerized backend microservices, design and maintain CI/CD and IaC, implement observability and SRE practices, support FedRAMP/NIST/FISMA-compliant GovCloud multi-region HA and disaster recovery, automate deployments and security integrations, guide releases through VA governance, and maintain operational runbooks and incident response.

Design, develop, and secure a hybrid container platform and container management software. Automate DevOps/DevSecOps processes (builds, testing, monitoring, releases) using Ansible and scripting, support cloud and on-prem environments, recommend platform resources, and ensure standards and orchestration for clients while working within a team and meeting program schedules.

Provide Linux system administration and Tier II support, manage AWS cloud infrastructure, automate provisioning and CI/CD, implement monitoring/alerting, configure DNS and web servers, use scripting (Python/Bash) and IaC tools (GitLab, Terraform, CDK), and support container orchestration (ECS/Kubernetes).

Lead and operate large-scale AWS cloud platform for a global SaaS CAD product. Build automation, manage infrastructure-as-code (Terraform, Ansible/Puppet/Chef), run Linux/Kubernetes platform operations, improve observability, security/compliance (FedRAMP/ITAR/GovCloud), optimize cloud cost and scalability, and provide technical leadership and mentoring.

As a Senior DevOps Engineer at EliseAI, you will manage software deployment systems, automate CI/CD workflows, and enhance operational consistency while collaborating with engineering and product teams.

Design, operate, and scale highly available Kubernetes platforms across cloud, on-premises, and edge environments. Manage networking, databases, storage, observability, security, infrastructure automation, and stateful workloads. Partner with engineering teams on platform standards, lead incident response and post-mortems, and address reliability and scalability risks. The role supports secure AI platform deployments for government customers and requires an active U.S. DoD Top Secret clearance.