Top DevOps Jobs

Build and support cloud-native infrastructure for a SaaS payment platform across AWS and Azure. Implement Puppet configuration management and Terraform infrastructure as code, maintain CI/CD pipelines, monitoring, cluster management, and cloud inventory, and contribute to architecture, deployments, troubleshooting, documentation, and platform improvements. Collaborate with software engineering teams and may travel to client or office locations for design sessions, presentations, and training.

Lead the DevOps practice for ServiceNow Otto, owning CI/CD, release automation, Kubernetes infrastructure, observability, reliability, and operational tooling across SaaS environments. Build infrastructure automation, GitOps workflows, and scalable cloud platforms while supporting AI and agentic services in production. Partner with scientists and engineers to improve deployment velocity, security, resilience, troubleshooting, and operational efficiency.

Own the build, deployment, and reliability of ServiceNow Otto’s conversational AI systems across SaaS environments. Design Kubernetes infrastructure, IaC, CI/CD and GitOps workflows, observability, release automation, and incident response practices. Partner with scientists and engineers to operate scalable AI services securely and efficiently. Apply expertise in LLM architectures, agentic workflows, AI-assisted development, model integrations, and production troubleshooting while leading cross-team infrastructure initiatives and improving deployment velocity and reliability.

Supports large-scale cloud web applications, develops infrastructure and deployment automation, upgrades DevOps infrastructure, and collaborates with software development teams on application delivery. The role requires familiarity with Linux, scripting, cloud providers, Terraform, configuration management, CI/CD pipelines, containers, and application servers. It also includes on-call availability, occasional after-hours work, and up to 5% travel.

Owns AWS infrastructure, Kubernetes clusters, Terraform modules, networking, access controls, secrets management, deployment pipelines, reliability, performance, and incident response for a security-sensitive defense technology organization.

Develop and maintain DevSecOps and GitOps capabilities, including CI/CD pipelines, automated testing, configuration management, containerized deployments, and infrastructure as code. Configure secure cloud-native and virtualized test environments, automate integration and deployment processes, monitor and troubleshoot systems, maintain requirements traceability, and collaborate with engineering teams, leadership, and government customers.

Own and improve AWS production infrastructure, Kubernetes workloads, Terraform-based infrastructure, CI/CD pipelines, observability, security, incident response, and disaster recovery. Partner with engineers to improve development and deployment workflows, reliability, capacity, and cloud costs. Participate in on-call and deliver measurable platform improvements.

Owns build and deployment automation, platform health, scaling, monitoring, and high-availability DevOps pipelines. The role involves developing self-service tools, expanding a multi-account AWS environment, improving SRE practices, and securing systems for commercial and high-side environments. Requires strong AWS, CI/CD, infrastructure-as-code, containerization, scripting, and monitoring expertise, plus U.S. citizenship and TS/SCI with full-scope polygraph clearance. Travel to a Washington, DC customer site may reach 50%.

Manage and maintain private cloud infrastructure using Kubernetes, Infrastructure as Code, and automated DevOps pipelines. Monitor and resolve issues across bare-metal systems and applications, support ATO compliance through patching and documentation, and execute customer-driven system integration requirements. The role requires strong Linux and DevOps experience, collaboration with distributed teams, and extensive work in a SCIF environment supporting intelligence and national security users.

Build and improve DevOps infrastructure for hardware validation and ASIC/SoC bring-up. The role focuses on reducing manual setup and configuration drift, improving regression predictability, qualifying tools and releases, enabling scalable experimentation and AI-assisted validation, and providing automation and self-service tooling that increases validation engineer productivity.

Owns the build, deployment, reliability, and operational tooling for ServiceNow Otto across SaaS environments. Responsibilities include Kubernetes infrastructure, CI/CD, GitOps, infrastructure as code, observability, incident response, cloud architecture, and production operations for AI-native services. The role partners with software engineers and applied scientists to improve deployment velocity, reliability, scalability, security, and cost efficiency while operating LLM-powered and agentic applications.

Lead the DevOps practice for ServiceNow Otto’s conversational AI platform. Own cloud-native build, deployment, release automation, Kubernetes infrastructure, observability, incident response, and reliability across SaaS environments. Develop infrastructure tooling, CI/CD and GitOps workflows, and secure, scalable infrastructure automation. Partner with scientists and engineers to operate LLM and agentic services in production while improving deployment velocity, resilience, cost efficiency, and operational performance.

Build and operate cloud-based AI/ML enterprise services using Go or Python and Kubernetes. Responsibilities include designing, implementing, testing, deploying, scaling, and supporting production services; creating Helm-based deployments and safe CI/CD pipelines; owning observability; resolving incidents; participating in on-call; and conducting root-cause analysis against service-level objectives.

Leads a DevOps team building continuous delivery infrastructure, automated deployment frameworks, and secure, highly available cloud platforms. Responsibilities include architecture and design, infrastructure monitoring, incident response, root-cause analysis, operational support, business continuity, and collaboration with development teams, SaaS operations, and cloud providers. The role mentors engineers, improves deployment and operational efficiency, manages infrastructure across multiple sites, and remains hands-on with DevOps tools and practices.

Provides enterprise technical leadership for cloud platforms, infrastructure SRE, Kubernetes/OpenShift, observability, and platform reliability. Develops cloud and platform strategies, architecture standards, automation, CI/CD, infrastructure-as-code, security, resiliency, and modernization initiatives. Advises senior leadership, resolves complex enterprise challenges, establishes governance, mentors engineers, and drives scalable self-service platforms and operational excellence across multiple organizations.

Leads enterprise cloud platform strategy, architecture, modernization, and reliability initiatives. Oversees platform engineering, infrastructure SRE, Kubernetes/OpenShift, observability, automation, security, and resiliency. Advises senior leadership, establishes engineering standards and governance, drives cloud transformation, mentors engineers, and influences large-scale technical outcomes across the organization.

Lead the architecture, reliability, observability, automation, and scalability of FloQast’s cloud-native SaaS platform. The role owns SLOs, disaster recovery, monitoring, CI/CD strategy, infrastructure automation, and complex cross-team engineering initiatives. It also mentors engineers, establishes technical best practices, and partners across the organization to solve high-impact platform challenges.

Develop and maintain DevOps automation, engineering infrastructure, release platforms, and full-stack tools for HPE Networking SD-WAN. Responsibilities include Python development, system monitoring, troubleshooting, CI and configuration management, architecture and integration, process automation, cloud infrastructure support, and collaboration with internal teams and customers. The role also provides technical leadership, mentoring, and guidance on software quality and operational issues.

Build and evolve DevOps infrastructure, CI/CD pipelines, deployment environments, monitoring, provisioning, and automation frameworks. Administer Linux systems and cloud or platform technologies, implement configuration management and automated testing, monitor performance, resolve infrastructure issues, and support security, backup, and redundancy strategies. The role works with Agile development teams, vendors, and IT personnel to improve deployment efficiency and operational reliability.

Develop and maintain DevOps, cloud infrastructure, and CI/CD environments for mission-critical programs. Responsibilities include automating provisioning and deployments, configuring monitoring and operating systems, implementing infrastructure-as-code, supporting Agile development, optimizing application performance, and maintaining security, backup, and redundancy strategies. The role requires an active Top Secret clearance and CI polygraph, with SCI eligibility.

Designs, deploys, documents, monitors, and diagnoses cloud-based distributed services and client applications. Provides escalation support, supports AI-enabled software development, manages scaling and databases, maintains CI/CD environments, tests APIs, and monitors application releases and dependencies. The role collaborates across development and operations teams in a fast-moving product company.

Leads the design and optimization of CI/CD pipelines, cloud infrastructure, deployment automation, and production reliability. Owns delivery-platform components, develops Infrastructure as Code, operates Docker and Kubernetes workloads, and implements monitoring and observability. Partners with Security on DevSecOps controls, leads incident root-cause analysis, improves system availability and performance, and mentors engineers. The role supports high-availability environments and establishes engineering standards across teams.

Onsite DevOps Engineer supporting federal law enforcement applications in Washington, DC. Responsibilities include installing, configuring, monitoring, patching, and deploying applications in Windows environments; administering Windows Server and Active Directory; using PowerShell, SQL Server, Entra ID, SSO, and Azure; supporting Docker and Kubernetes workloads; and maintaining compliance with change control and STIG requirements.

Develop and maintain DevOps tools, automate CI/CD pipelines and infrastructure provisioning, manage configuration and cloud resources, and support containerized applications across the software development lifecycle. Collaborate with development teams to solve complex problems, improve automation, monitor production systems, and troubleshoot open-source and commercial tools in public cloud environments.

Build and maintain CI/CD and service pipelines, support Azure deployments, manage source-control workflows, execute SQL database changes, and collaborate with development and QA teams. The role also includes participating in SAFe Agile ceremonies, supporting sprint delivery, and applying AI coding assistants to pipeline and infrastructure tasks.