Top Hybrid DevOps & Platform Engineering Jobs

Designs and implements scalable Azure cloud architectures, automates infrastructure provisioning with Terraform, and oversees Azure DevOps CI/CD pipelines. Provides technical guidance, troubleshoots complex infrastructure issues, and optimizes cloud environments for performance, cost, security, and compliance. Collaborates with stakeholders and cross-functional teams, documents architecture and processes, conducts environment assessments, and delivers Azure training while driving cloud innovation and business objectives.

Design, build, and operate large GPU supercomputing clusters supporting large-scale AI training and inference. Responsibilities include cluster provisioning, automation, scheduling, orchestration, capacity planning, storage and artifact management, monitoring, reliability improvements, and performance optimization. The engineer will partner with researchers on scaling runs and advise on distributed training and infrastructure trade-offs.

Leads enterprise cloud modernization and data center operations for a Texas healthcare agency. Designs hybrid cloud architectures, network topologies, migration strategies, CI/CD pipelines, Kubernetes platforms, and Infrastructure as Code using Terraform and Ansible. Ensures cloud security, identity management, healthcare data governance, and HIPAA compliance. Troubleshoots distributed systems, leads Agile technical teams, establishes operating procedures, trains staff, and supports scalable AWS, Azure, or GCP environments.

Design and operate AWS cloud infrastructure, improve CI/CD and deployment workflows, build internal platform capabilities, strengthen observability, automate infrastructure, and reduce developer friction. Partner with product teams, participate in incident response and postmortems, maintain Terraform infrastructure as code, support security and compliance controls, and establish scalable operational standards.

Deploy and sustain mission-critical production systems across multiple network environments. Manage Kubernetes-based containerized applications, build repeatable CI/CD deployment processes, modify Java Spring and Vue.js components, troubleshoot infrastructure through application layers, and collaborate with DevOps, software, and systems engineering teams. The role requires onsite work in Annapolis Junction with limited remote flexibility and an active TS/SCI clearance with full-scope polygraph.

Lead Assort Health’s infrastructure and platform engineering team. Own GCP infrastructure, Kubernetes, observability, CI/CD, developer tooling, data infrastructure, reliability, and cross-cutting systems. Hire and coach engineers, set technical direction, lead architecture reviews, support incident response, and partner with product teams to improve developer velocity, reliability, performance, cost, and operational excellence.

Build and operate highly available, scalable infrastructure for WRITER’s enterprise AI platform. Responsibilities include SRE, DevOps, platform engineering, cloud infrastructure, Kubernetes, Terraform, automation, observability, incident response, post-mortems, SLOs, on-call operations, and reliability improvements. The role requires cross-functional collaboration, end-to-end ownership, systemic problem-solving, and daily use of AI-assisted development and operational tooling.

Paid, in-person summer internship offering placements in business systems analysis, client success, or site reliability engineering. Interns support client implementations, troubleshoot and configure software, maintain client relationships, analyze workflows, document processes, conduct incident investigations, improve system scalability, and develop automation. Candidates must be enrolled in a bachelor’s degree program and demonstrate strong communication, collaboration, attention to detail, and technical aptitude.

Design, build, automate, secure, and operate Microsoft’s global routing, switching, optical, and hybrid-cloud network services. Create low-level designs, automate provisioning and validation, manage optical deployments, troubleshoot Layer 2/3 and transport systems, participate in on-call/DRI rotations, drive reliability and security improvements, mentor engineers, and collaborate across product, security, and customer teams to deliver resilient, scalable enterprise services.

Designs, operates, and improves Duolingo’s large-scale distributed systems and core infrastructure. Responsibilities include diagnosing production issues, developing platforms and automation, conducting launch reviews and root cause analyses, maintaining incident response and postmortem practices, and improving reliability, scalability, and engineering velocity. The role partners with product and platform engineering teams to reduce operational toil and ensure high-quality service delivery.