Top Hybrid DevOps & Platform Engineering Jobs

Leads corporate infrastructure operations, reliability, security, and performance across identity, email, endpoints, cloud, and enterprise systems. Manages a junior engineer, sets technical direction, supports escalated issues and incidents, oversees vendors and licensing, and delivers infrastructure projects, migrations, rollouts, and lifecycle refreshes. Partners with Cybersecurity, HR, Legal, and Technology Support on access, compliance, investigations, and security initiatives. Participates in an after-hours on-call rotation.

Leads platform engineering and DevSecOps initiatives across Azure and VMware environments. Designs Infrastructure as Code, modernizes Azure DevOps pipelines, establishes CI/CD standards, improves observability and release management, and supports production deployments. Partners with operations, development, and QA teams to improve reliability and developer experience. The role includes technical guidance, documentation, troubleshooting, and participation in a 24/7 on-call rotation.

Designs and operates virtualization and Kubernetes orchestration platforms for large-scale GPU and HPC workloads. Responsibilities include GPU cluster provisioning, workload scheduling, resource allocation, multi-tenant infrastructure, cluster lifecycle management, automation, reliability, security, and scalability. The role partners with hardware, networking, infrastructure, and AI platform teams while owning complex systems from architecture through production operations.

Designs, builds, and operates shared infrastructure platforms across multi-cloud and multi-region environments. Responsibilities include Kubernetes platform engineering, Go and Python automation, CI/CD, event-driven systems, distributed services, observability, service mesh, databases, REST APIs, and globally available infrastructure. The role supports internal engineering teams, provides technical guidance, maintains reliability and performance, and participates in on-call rotations.

Designs, implements, and supports secure endpoint computing, cloud workplace, and VDI/DaaS environments. Responsibilities include Intune and policy administration, endpoint monitoring, automation, vulnerability remediation, device lifecycle management, operating system upgrades, technical documentation, and Tier 3 support. The role also contributes to digital workplace initiatives, Intune migrations, endpoint modernization, compliance, and cross-functional technology projects.

Deploy and operate cloud-native AI infrastructure across AWS, GCP, and Azure, including Kubernetes, networking, identity, security, multi-region, and data residency configurations. Build infrastructure as code, CI/CD, GitOps, observability, and alerting while supporting research, ML, and GPU platforms. Partner with clients and internal engineering and science teams on enterprise deployments, compliance, reliability, cost, and production hardening.

Build and maintain scalable AWS infrastructure using Terraform and AWS CDK. Design highly available cloud environments, automate operational workflows with TypeScript, implement policy-as-code guardrails, optimize cloud costs, and lead disaster recovery planning and testing. The role also involves CI/CD, Kubernetes, networking, identity platforms, cross-team consensus building, project ownership, communication, and mentoring junior engineers.

Administers enterprise job scheduling and orchestration platforms to maintain high availability and operational stability. Monitors workflows, troubleshoots job failures, manages file transfers and encryption, supports data operations, and participates in 24/7 on-call coverage. Collaborates with developers, operations, vendors, and project managers to improve scheduling solutions and performance. Maintains IT risk, incident, problem, and change management controls while documenting work and mentoring junior staff.

Support and improve cloud infrastructure, Kubernetes-based microservices, CI/CD pipelines, infrastructure-as-code, observability, and production reliability. The role involves debugging application and infrastructure issues, participating in a 24/7 on-call rotation, maintaining documentation and runbooks, and collaborating with engineering and data science teams to deliver scalable, automated systems.

Own and scale Cognitiv’s AWS infrastructure while evaluating architecture, networking, security, scalability, and service management. Lead improvements in deployments, monitoring, disaster recovery, and infrastructure-as-code practices. Support co-located Equinix datacenter deployments and hybrid cloud operations alongside a datacenter-focused SRE. Collaborate with engineering and product teams, provide multi-datacenter coverage, and help establish long-term service management best practices.