Top Hybrid DevOps & Platform Engineering Jobs

Leads cloud platform engineering, agentic AI automation, and Windows/Linux systems imaging across the CTO organization. Manages and develops technical teams, sets infrastructure strategy, governs Azure platforms and IaC, and drives secure, compliant engineering practices. Oversees AI governance, endpoint security, validated computing environments, regulatory compliance, architecture reviews, and resolution of critical infrastructure incidents. Partners cross-functionally with engineering, security, quality, regulatory, and information systems leaders in a regulated medical device environment.

Administers hybrid on-premises and cloud infrastructure, including servers, identity and access management, endpoints, backup and recovery, communications, and endpoint security. Provides advanced technical support, enforces data protection and compliance policies, evaluates automation and AI tools, and executes technology improvement projects. Independently prioritizes work, assesses technical risks, and recommends secure, reliable infrastructure solutions.

Design, architect, and implement Azure cloud solutions (IaaS/PaaS/SaaS); assess and migrate workloads and Entra AD to Azure; create design documentation and runbooks; automate tasks with PowerShell and IaC; collaborate with cross-functional teams and support transition to operations.

The Senior Platform Engineer will manage and enhance the platform's infrastructure, focusing on running autonomous agents securely and efficiently in cloud environments, while ensuring compliance and reliability.

Lead and manage the Core Infrastructure engineering team: set priorities and roadmap, improve execution quality and reliability, coach and develop engineers, drive operational rigor (SLIs/SLOs), coordinate with cross-functional partners, and contribute technically to architecture and code when needed.

Ensure reliability and performance of Plaud.ai's AI products at scale by designing and operating cloud-native systems, owning production reliability and incident response, building observability and automation, defining SLOs/SLIs, driving postmortems, and partnering with product and engineering teams to improve operational maturity.

Lead the Platform Software Engineering team building and scaling core data infrastructure for research, market-making, and risk platforms. Hands-on role combining individual contributor work, system architecture, cross-functional project leadership, and people management while collaborating with Research and Business Operations.

Own and improve infrastructure for the Data Replication platform: Kubernetes, CI/CD, secrets, networking, cloud (AWS/GCP). Drive reliability, observability, AI-augmented tooling, canary rollouts, incident reduction, runbooks, and partner with product engineers.

Designs, implements, and optimizes hybrid infrastructure across Nutanix/VMware, AWS, and Azure. Leads cloud modernization, governance, security, automation, and Infrastructure-as-Code initiatives; provides Tier 3 support and root-cause analysis; oversees patching, monitoring, capacity planning, disaster recovery, and cost optimization. The role also guides architecture strategy, documents solutions, manages complex infrastructure projects, and mentors team members on hybrid cloud best practices.

Builds, manages, monitors, secures, and operates enterprise infrastructure, cloud systems, applications, and integration points. Responsibilities include hands-on configuration, documentation, disaster recovery planning and testing, system monitoring, maintenance, upgrades, patching, capacity planning, vendor participation, and escalated incident resolution. The role diagnoses root causes, supports high availability and stability, contributes to security and business continuity, and participates in a 24x7 on-call rotation.