Top DevOps Jobs

Own multi-cloud Kubernetes platforms across Azure and Google Cloud, build CI/CD pipelines and an internal developer platform with Backstage, orchestrate data workflows, and operate distributed data services. Lead observability, security, reliability, disaster recovery, and platform automation using Go, Node.js, and C#/.NET. Partner with engineering teams on developer experience and practical AI initiatives.

Architects and operates secure, scalable Kubernetes platforms across AWS and AWS GovCloud, including FedRAMP environments. Leads DevSecOps, zero-trust security, Terraform and GitOps automation, observability, reliability engineering, disaster recovery, AI-enabled operations, and FinOps governance. Designs multi-tenant and dedicated deployments, improves scalability and performance, establishes SLOs, and ensures compliance. Provides technical leadership, mentors engineers, and partners with Security and Engineering on platform strategy.

Lead architecture and operation of secure, scalable Kubernetes platforms across AWS and AWS GovCloud. Own DevSecOps, zero-trust security, Terraform and GitOps automation, observability, reliability, disaster recovery, FinOps, and FedRAMP compliance. Design multi-tenant and dedicated environments, optimize distributed systems, implement AIOps, mentor engineers, and partner with Security and Engineering on platform strategy.

Own and evolve CI/CD pipelines, GitOps workflows, and infrastructure-as-code to deploy, scale, and rollback platform components portably across Azure, other clouds, or on-prem. Manage Terraform modules, container orchestration with Docker/Kubernetes/Helm, secrets management, and collaborate with Lead Engineer and SREs to ensure delivery safety, observability, and operational runbooks.

As a Tech Lead DevOps Engineer, you will architect and build deployment solutions, enhance CI/CD processes, and mentor a high-caliber engineering team. You will drive systems design, improve application monitoring, and foster a culture of collaboration and security within the team.

Own CI/CD pipelines, cloud infrastructure, infrastructure-as-code practices, and observability systems for a mesh networking platform. Build monitoring and alerting, improve deployment reliability, and partner with engineers to reduce deployment friction. The role requires production cloud experience, scripting and automation skills, and familiarity with tools such as Terraform, CloudFormation, Kubernetes, and public cloud platforms.

Build and manage CI/CD pipelines, automated testing, deployment workflows, and infrastructure across physical, virtualized, and cloud environments. Administer Linux and Windows systems, automate provisioning with scripting and IaC, optimize build pipelines, integrate security and quality tools, and collaborate with software, systems, and test engineers supporting the IBCS air defense program.

Designs and maintains DevSecOps infrastructure for AWS-hosted microservices and APIs. Builds CI/CD pipelines, containerized deployments, and Infrastructure as Code using Terraform, CDK, or CloudFormation. Develops monitoring, logging, and performance tools; supports security reviews, vulnerability management, and resilient systems. Requires strong AWS, EKS/Kubernetes, networking, scripting, programming, troubleshooting, Agile collaboration, and SRE skills.

Build and maintain Azure DevOps CI/CD pipelines, manage Octopus Deploy releases, configure Azure infrastructure, and develop C# code. Diagnose performance and production issues across applications, databases, pipelines, and infrastructure. Improve observability through logging, metrics, and alerting; conduct code reviews; troubleshoot complex problems; and collaborate with engineering and product teams to plan and deliver releases.

Build and deploy Helm charts to Kubernetes, develop GitLab CI/CD pipelines, containerize applications, troubleshoot deployments, and design cloud-native architectures. The role supports Air Force research missions in an onsite environment and requires collaboration across varied technology stacks. Responsibilities also include researching complex technical problems independently and may involve cloud services, infrastructure as code, security tooling, event streaming, and air-gapped deployments.

The Senior DevOps Engineer is responsible for designing, implementing, and supporting scalable cloud-native infrastructures and CI/CD pipelines, ensuring high reliability and performance while mentoring technical teams and promoting DevOps best practices.

Designs GitLab CI/CD pipelines, optimizes Kubernetes deployments, develops production-grade Python tools and applications, and supports mission-critical DoD and intelligence systems. The role emphasizes containerization, observability, testing, resilient system design, and collaboration across engineering teams. Responsibilities also include mentoring teammates and contributing to verification, validation, and evaluation environments.

Own FloQast’s multi-region AI platform infrastructure across AWS, including Bedrock model runtimes, sandboxed code execution, Terraform, observability, cost controls, CI/CD, security, and reliability. Support Transform, AI Matching, and AutoBuilder by managing scaling, throttling, tenant isolation, journey-based SLOs, model and prompt delivery gates, and AI-specific on-call processes across US, EU, and AU regions.

Maintain and improve on-premises and cloud infrastructure, CI/CD pipelines, virtualization, containers, backups, disaster recovery, identity integrations, networking, patching, and deployment automation. Collaborate with software engineering teams on reliability, observability, security, scalability, and operational readiness. Maintain infrastructure scripts and documentation, evaluate tooling improvements, and provide occasional after-hours support for critical systems.

Lead the design and delivery of secure, reliable, AI-enabled cloud-native full-stack solutions for lending and loan servicing. Build APIs, integrations, data pipelines, monitoring, and CI/CD workflows using Azure, Azure DevOps, .NET, Python, React, SQL, and ETL technologies. Apply prompt engineering, RAG, MCP, and generative AI tools. Provide technical leadership, guide engineers, ensure governance and compliance, and collaborate with architects, QA, business partners, and cross-functional teams.

Seeking a Mid-Level DevOps Engineer to support U.S. Government projects, focusing on DevOps role with responsibilities in architecture, deployment, automation, and collaboration.

Lead complex DevOps projects, define guidelines, automate deployments, manage infrastructure, ensure quality, and improve processes while leading team efforts.

Lead the design, operation, and scaling of AWS cloud infrastructure and Kubernetes production environments for a fintech platform. Build infrastructure-as-code, CI/CD pipelines, observability, and deployment tooling while improving reliability, security, performance, and resilience. Partner on PostgreSQL administration, scaling, backups, and performance tuning. Participate in incident response, root-cause analysis, and operational standards development for sensitive financial workloads.

Designs and maintains scalable AWS infrastructure, Kubernetes environments, Terraform-based IaC, and CI/CD pipelines. Integrates MLOps and DevSecOps practices, automates deployment and system administration, monitors performance and cost, supports incident response, and collaborates with engineering teams to improve platform architecture and reliability.

Leads DevOps and cloud engineering capabilities supporting regulated financial services workloads. Responsibilities include designing and operating secure Azure infrastructure, advancing CI/CD and infrastructure-as-code practices, managing Docker containerized applications, improving observability and incident response, optimizing cloud costs through FinOps, coordinating releases, and partnering with security, business, engineering, and vendor teams.

Leads a DevOps team responsible for Azure cloud architecture, application development, CI/CD automation, deployment pipelines, monitoring, infrastructure management, code quality, and developer mentorship. The role guides technical vision, supports agile client projects, develops and enhances software, optimizes cloud costs, and establishes engineering best practices. It requires extensive experience with Azure, complex web applications, DevOps processes, data systems, continuous testing, and software delivery automation.

As a Senior Engineer in DevOps & Infrastructure, you will manage and evolve cloud infrastructure on AWS, ensure security and compliance, and improve CI/CD practices.

Leads the development, management, and security of enterprise container platforms and cloud-native solutions. Builds and improves DevOps and DevSecOps automation for CI/CD pipelines, testing, monitoring, and releases across environments. Troubleshoots pipeline issues, develops Kubernetes-based deployment tools, advises clients on secure container adoption, informs platform strategy and design, ensures standards, and mentors team members.

Designs, secures, and optimizes enterprise Microsoft Azure infrastructure and deployment processes. Responsibilities include Terraform-based infrastructure as code, CI/CD pipeline development, cloud operations, monitoring and observability, incident response, security integration, encryption, networking, identity management, disaster recovery, performance optimization, and FinOps. The role partners with development, data engineering, security, and operations teams, supports production environments, documents technical processes, participates in Agile delivery, and mentors junior engineers.

The DevOps Engineer supports software development teams across development platforms, compilation, deployment, monitoring, and the SDLC. Responsibilities include managing deployments, creating release structures, maintaining CI/CD processes, facilitating development and infrastructure team communication, researching new technologies, developing proofs of concept, and documenting systems and processes. The role requires enterprise IT engineering experience, systems administration knowledge, monitoring expertise, and familiarity with automation, containers, testing, and version control.