Top Hybrid DevOps & Platform Engineering Jobs

Build and manage backend applications and platform components for Chariot’s identity and payment network. Design scalable APIs and backend systems, establish engineering standards, improve monitoring and alerting, and collaborate directly with founders, product managers, and engineers. Drive projects from inception through delivery within an Agile/Scrum environment while contributing to architecture, technology strategy, and product decisions.

Lead the architecture, governance, reliability, security, and operation of highly scalable Azure infrastructure supporting large-scale security data workloads. Own SRE practices, SLOs, observability, disaster recovery, CI/CD, infrastructure as code, DevSecOps, container orchestration, and platform automation. Partner with engineering, AI/ML, product, and security teams to optimize performance and costs, ensure workload portability, and mentor teams on Azure architecture and reliability.

Administer and monitor Linux and cloud systems supporting DIB company vetting and onboarding. Perform remote Linux administration via SSH, install software using RPM and YUM, gather system status, and support Docker, Kubernetes, Helm, Ansible, CloudFormation, Terraform, and Traefik environments. The role requires managing large Hadoop clusters and maintaining an active TS/SCI clearance with Polygraph.

Designs and owns large-scale AWS architectures and Databricks lakehouse platforms; leads Terraform, policy-as-code, CI/CD, observability, AIOps, governance, incident escalation, and cross-team initiatives. The role mentors engineers, documents architecture, evaluates emerging technologies, and communicates technical decisions to stakeholders while improving platform reliability, scalability, security, and cost efficiency.

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.

Senior hands-on technical leader to mature, scale, and operationalize an Azure-first hybrid cloud platform. Design and implement Azure networking, identity, security, compute, storage, governance, IaC, automation, monitoring, and hybrid connectivity. Drive standards, operational maturity, cost management, and platform engineering practices; mentor teams; lead complex implementations and incident response; collaborate with Security, Data/AI, Applications, and stakeholders to deliver secure, resilient, and cost-effective infrastructure solutions.

Builds and optimizes CI/CD pipelines, GitOps workflows, cloud-native platforms, and Kubernetes deployments across AWS GovCloud and air-gapped security enclaves. Applies Infrastructure-as-Code, containerization, automated security scanning, DoD controls, STIGs, and NIST requirements to support continuous authorization. Configures monitoring, manages platform operations, troubleshoots deployment failures, and develops backup and disaster-recovery plans while supporting software development teams and customer deployments.

Configure, implement, monitor, and administer desktop, client management, Microsoft, network, and infrastructure systems. Provide second-level support for Office 365 services, manage switches and wireless access points, maintain device and software licensing documentation, coordinate equipment vendors, and collaborate with security teams to protect client systems. Participate in on-call escalation support and occasional travel.

Lead the architecture, implementation, and operation of secure, scalable cloud infrastructure for AI platforms, including LLMs, vector databases, model inference, agentic systems, and predictive analytics. Build MLOps pipelines, Infrastructure-as-Code environments, monitoring and observability capabilities, and edge computing infrastructure. Optimize reliability, performance, governance, security, compliance, and costs while integrating AI platforms with enterprise systems and supporting operational use cases.

Design, deploy, and maintain resilient cloud infrastructure for Ping Identity’s mission-critical services. Build and optimize automated CI/CD pipelines, support cloud security and observability, evaluate technologies, participate in planning and on-call rotations, and help improve engineering practices. Collaborate across development and operations teams while sharing expertise and supporting distributed production systems.