Top Hybrid DevOps & Platform Engineering Jobs

Supports telecom network operations through alarm and event monitoring, incident tracking, troubleshooting, log and performance analysis, maintenance coordination, and service assurance. Develops automation scripts and DevOps pipelines using Python, Bash, Groovy, and Java, while contributing to AI-driven predictive operations, documentation, dashboards, and process improvements. The intern works with engineering, security, and service teams under established operational procedures.

Own and improve the production Linux infrastructure, including performance tuning, incident response, configuration management, container orchestration, networking, proxies, virtualization, secrets, observability, and data services. Build automation in Bash and Python, maintain infrastructure code through Git and peer review, troubleshoot complex system issues, write postmortems and runbooks, and support scalable, reliable systems in a regulated fintech environment.

Lead Compute, Data, and DevEx teams while owning infrastructure and data-platform roadmaps, reliability, cloud costs, vendor strategy, and developer self-service. Establish SLI/SLO practices, incident response, post-mortems, CI standards, infrastructure-as-code tooling, and AI-enabled production operations. Manage managers and technical leads, scale the organization, develop engineers, and ensure systems support significantly higher traffic while maintaining 99.95% uptime across AWS regions.

Leads and manages a platform engineering team responsible for an enterprise-scale Kubernetes platform. Oversees hiring, coaching, performance, workforce planning, vendor management, platform reliability, security, incident management, infrastructure modernization, developer self-service, and delivery of strategic technology initiatives. Provides technical guidance, establishes operational metrics, manages dependencies and technical debt, and partners with product, architecture, engineering, and executive stakeholders.

Administer hybrid Windows Server infrastructure across colocation, on-premises, Azure, and GCP environments. Manage virtual machines, cloud resources, patching, upgrades, backups, monitoring, alerts, incident response, vulnerability remediation, and root cause analysis. Develop automation using PowerShell, Python, Ansible, and infrastructure-as-code tools for provisioning, remediation, and self-healing workflows. Maintain documentation and runbooks while collaborating with engineering, IT support, security, and operations teams.

Build and operate foundational infrastructure for PagerDuty’s real-time platform, including networking, compute, Kubernetes, and ingress systems. Improve reliability, scalability, and security; monitor system health through metrics, logs, and alerts; participate in 24/7 on-call rotations; support infrastructure rollouts; and contribute to agile planning and technical improvements.

Build, configure, and support hybrid cloud and on-premises infrastructure for enterprise SAP applications. Develop automation workflows, scripts, CI/CD processes, and configuration-management standards using tools such as Ansible and Terraform. Monitor systems, establish alert thresholds and service levels, document infrastructure solutions, and optimize performance. After onboarding, provide escalated SAP Basis support, including installations, upgrades, patching, troubleshooting, and administration across SAP workloads and HANA databases.

Design and manage monitoring and alerting systems, improve service availability and performance, collaborate with development teams on reliable architectures and automation, and conduct root cause analysis to prevent recurring incidents. The role supports a global 24x7x365 team from Phoenix on a hybrid schedule and requires substantial site reliability engineering experience, cloud and orchestration knowledge, scripting proficiency, and monitoring expertise.

Leads the strategy, roadmap, and execution of Prolaio’s cloud-native platform engineering capabilities across GCP environments. Owns observability, infrastructure tooling, access controls, data lifecycle management, platform services, automation, governance, and AI-enabled features. Partners with engineering, data, security, quality, product, and clinical teams to deliver secure, compliant, auditable healthcare data platforms. Builds and mentors a high-performing platform engineering organization supporting clinical research, analytics, data science, and enterprise data services.

Lead the infrastructure and SRE team, setting technical direction for reliable, secure, and scalable engineering systems. Hire, coach, and develop engineers; oversee multi-cloud infrastructure, Kubernetes, IaC, CI/CD, observability, incident response, support rotations, and regulated workloads. Partner across engineering, data science, security, and operations to improve developer experience and enable safe AI-assisted software delivery. Manage infrastructure roadmaps, budgets, resourcing, documentation, and organizational reliability practices.