Top Senior DevOps Jobs

Designs and operates AWS cloud infrastructure, Kubernetes clusters, CI/CD pipelines, and Terraform-based systems. Builds automation, monitoring, logging, alerting, and incident-response practices while improving reliability, scalability, security, performance, and deployment velocity. Partners with engineering and product teams on operational readiness, troubleshoots production incidents, addresses infrastructure risks and technical debt, and documents architecture and procedures.

Lead and implement DevSecOps practices across scrum teams, maintaining tools for source control, CI/CD, infrastructure provisioning, monitoring, logging, security, testing, and deployments. Build and manage AWS infrastructure, Kubernetes/EKS workloads, Terraform automation, Linux systems, and Red Hat patching. Lead DevOps engineers, provide escalation support, troubleshoot independently, and collaborate with customers and stakeholders. Candidates must obtain and maintain Public Trust clearance and meet U.S. residency requirements.

Designs, develops, deploys, secures, and maintains Elastic Stack solutions using Elasticsearch, Logstash, Kibana, and Beats. Responsibilities include scripting and automation, Grok pattern development, SSL/TLS and role-based security configuration, index lifecycle management, S3 snapshots, Ansible administration, infrastructure maintenance, troubleshooting documentation, architecture diagrams, and Agile collaboration in secure DoD environments.

Develop, manage, secure, and improve cloud-based container platforms for clients. Deploy AWS resources, build and orchestrate containers with Kubernetes or EKS, implement infrastructure as code, and address container networking, monitoring, storage, and security vulnerabilities. Advise clients on container adoption, contribute to platform strategy and design, ensure engineering standards, and support critical cloud platform development. The role requires a TS/SCI clearance with polygraph.

Build and operate secure, scalable infrastructure and CI/CD pipelines for enterprise AI applications across cloud, on-premises, air-gapped, and classified environments. Manage Docker and Kubernetes platforms, AI model lifecycle workflows, identity and policy guardrails, observability, security, and system performance. Collaborate with AI/ML engineers and data scientists, support RMF/ATO accreditation, and continuously improve DevOps tooling and practices.

Build and operate secure, scalable infrastructure and CI/CD pipelines for enterprise AI applications across cloud, on-premises, air-gapped, and classified environments. Manage Docker and Kubernetes platforms, AI model lifecycle workflows, identity and policy guardrails, observability, monitoring, and system performance. Collaborate with AI/ML engineers and data scientists, support RMF/ATO accreditation, and continuously improve DevOps processes and tooling for USCYBERCOM’s AI Enterprise.

Own and operate the SDLC toolchain (source control, build, CI/CD, artifact and scan tools); administer permissions and identity integrations; maintain end-to-end integrations and traceability; monitor and resolve incidents, perform upgrades and migrations; enable engineers via documentation and onboarding; optimise pipeline performance and enforce tooling standards.

Build and operate secure DevOps infrastructure for federal and commercial partner environments across cloud, hybrid, private, and on-premises deployments. Responsibilities include Kubernetes, infrastructure as code, CI/CD and GitOps, observability, incident response, secure releases, vulnerability remediation, compliance support, partner troubleshooting, documentation, and technical leadership. The role also establishes reusable standards, mentors engineers, and supports restricted or disconnected environments.

Build and operate secure DevOps infrastructure for federal and commercial partner environments across cloud, private, hybrid, and on-premises deployments. Responsibilities include Kubernetes, infrastructure as code, CI/CD and GitOps, networking, observability, incident response, secure releases, vulnerability remediation, and production support. The role also leads architecture and reliability standards, supports compliance requirements such as STIG and RMF/ATO, mentors engineers, and provides partner onboarding and troubleshooting. Up to 20% travel may be required.

Leads SaaS platform onboarding, integration, deployment, automation, and sustainment for DoD CSSP applications. Designs CI/CD pipelines, infrastructure-as-code, configuration management, and reusable deployment tooling. Troubleshoots Linux, cloud, networking, security, and application issues; integrates enterprise authentication, APIs, logging, and cybersecurity services. Provides technical leadership, code reviews, documentation, operational readiness support, and cross-functional coordination in a secure hybrid environment.

Lead DevOps and platform engineering efforts across the software development lifecycle. Design infrastructure-as-code, scalable architectures, CI/CD pipelines, deployment automation, monitoring, and rollback processes using Kubernetes, Docker, Jenkins, GitLab, Helm, and Ansible. Troubleshoot infrastructure and system issues, mitigate technical risks, collaborate within Agile teams, and mentor engineers. The role is primarily onsite in Omaha with limited remote flexibility and requires U.S. citizenship plus eligibility for a Secret clearance.

Builds and maintains Jenkins-based CI/CD pipelines and reusable deployment frameworks for Pega applications. Manages automated packaging, testing, provisioning, release governance, and deployment logging. Troubleshoots build failures, environment synchronization, code promotion, and pipeline security issues. Provides technical guidance on Pega deployment standards, branching strategies, release automation, and enterprise delivery practices while supporting architecture and development teams.

Leads and mentors DevOps teams while designing, automating, and maintaining enterprise infrastructure across Azure, GCP, virtualized environments, and Hadoop. Builds CI/CD and provisioning tools, improves cloud scalability and reliability, supports software development and data platforms, troubleshoots outages, manages releases and source control, and provides technical consultation. The role also handles ticket triage, root cause analysis, vendor processes, documentation, and infrastructure innovation.

Designs, implements, and maintains secure CI/CD pipelines, Kubernetes deployments, and infrastructure across on-premises, cloud, and air-gapped environments. Uses Terraform or Ansible, GitOps, containerization, observability, and security tooling to enable reliable software delivery. Responsibilities include designing and debugging complex development environments, improving engineering workflows, ensuring compliance, collaborating with development teams, and mentoring engineers.

Design, implement, and maintain secure software development environments, CI/CD pipelines, Kubernetes deployments, and infrastructure across on-premises, cloud, and air-gapped environments. Build infrastructure with Terraform or Ansible, implement observability, integrate security throughout the development lifecycle, and improve reproducible software delivery. Collaborate with development teams, mentor engineers, troubleshoot complex systems, and support stringent compliance requirements.

Own and improve multi-cloud production infrastructure across GCP, AWS, and Azure. Build developer platforms, CI/CD pipelines, deployment automation, Terraform modules, and production Kubernetes environments. Lead incident response, root-cause remediation, observability, networking, security, cost optimization, and reliability initiatives. The role requires hands-on automation and programming, collaboration with security and application teams, mentoring, global on-call participation, and regular overlap with U.S. Pacific Time.

Manage AWS and Google Cloud infrastructure, CI/CD pipelines, infrastructure as code, container orchestration, automated testing, observability, monitoring, deployments, scaling, and incident response. Collaborate with development teams and clients to improve build and deployment strategies, maintain security practices, and support reliable real-time applications. The role requires strong Docker, Kubernetes, Terraform, Ansible, networking, databases, and cloud engineering experience, with VoIP, WebRTC, and AI infrastructure experience preferred.

Lead a DevOps infrastructure automation project migrating configurations from Chef to Ansible. Develop and maintain Ansible automation using Python, with potential use of AI coding tools. Chef experience and prior Chef-to-Ansible migration experience are preferred.

Designs, develops, and maintains multi-cloud infrastructure automation across AWS, Azure, and GCP. Builds internal tools, APIs, CI/CD workflows, deployment and configuration automation, and auto-remediation solutions using Python, Ansible, Jenkins, and related technologies. Troubleshoots cloud, networking, and systems issues; integrates operational workflows; documents procedures; collaborates across engineering and support teams; and mentors less experienced engineers.

Build and operate AWS infrastructure for Windows and IIS applications using Terraform, CI/CD pipelines, and automation. Migrate on-premises workloads to AWS, troubleshoot application and infrastructure issues, implement monitoring and security hardening, automate patching and credential or certificate rotation, and support ECS containerization. Collaborate with application, development, and security teams while reviewing infrastructure code and maintaining production services. Occasional after-hours maintenance or outage support is required.

Own and evolve AWS infrastructure, Terraform-based infrastructure as code, CI/CD pipelines, deployments, observability, cloud security, and SRE practices. Build self-service developer tooling, strengthen software supply-chain security, support SOC2, HIPAA, and ISO 27001 audits, participate in incident response, and document operational practices. The role partners closely with backend engineering, databases, APIs, and security/compliance teams while mentoring engineers on reliable and secure development.

Owns and improves AWS infrastructure, multi-cluster Kubernetes environments, CI/CD automation, Terraform infrastructure-as-code, production reliability, observability, and developer experience. The role collaborates with backend teams on scalable microservices and database performance, manages live production systems, maintains high availability, and participates in weekly on-call rotations. It requires strong AWS, Kubernetes, Docker, Terraform, database operations, monitoring, and scripting experience.

Own AWS infrastructure, multi-cluster Kubernetes environments, CI/CD automation, Terraform infrastructure-as-code, production reliability, observability, and database operations. The role balances platform development with live-environment management, targeting 99.9% uptime for fintech services. Responsibilities include collaborating on scalable microservices, improving developer self-service, optimizing RDS and MongoDB performance, applying AI-powered development tools, and participating in weekly on-call rotations.

Build and scale Kubernetes infrastructure for AI agent workloads and production applications. Design CI/CD pipelines, automate provisioning with Python and Terraform, deploy with Helm, and own observability through monitoring, alerting, and distributed tracing. The role also supports AI agent orchestration, developer experience, security, reliability, and cloud cost efficiency across production environments.

Leads the design, implementation, and optimization of CI/CD pipelines and scalable cloud, on-premises, and hybrid infrastructure. Automates provisioning, configuration, deployment, and release processes while monitoring system reliability and performance. Collaborates with development, QA, security, and product teams, mentors DevOps engineers, drives best practices, and supports operational capabilities for field deployments. The role requires expertise in Kubernetes, containers, multiple cloud platforms, Linux, release engineering, and Agile development.