Top Hybrid DevOps & Platform Engineering Jobs

Develop incident-response dashboards and SLO-based alerts, improve logging, metrics, tracing, authentication, and infrastructure observability, benchmark cloud storage, review security and network configurations, optimize costs, build application features, create infrastructure-as-code for AWS, GCP, and Azure, and support IAM needs.

Oversee IT infrastructure, network operations, security, support, and technology integrations across US locations. Manage SD-WAN, ISPs, firewalls, network monitoring, hardware, software, databases, disaster recovery, vendors, and site expansions. Coordinate with global IT teams, ensure infrastructure availability and security, support cloud and modern workplace initiatives, and translate technical needs into business solutions. The role may require flexible hours and domestic or international travel.

Leads Systems Engineering, Enterprise Networking, and End User Services. Owns the infrastructure roadmap, hybrid cloud and data center environments, enterprise networking, service desk operations, disaster recovery, security controls, budgets, vendors, and infrastructure modernization. The role drives automation and AI adoption, ensures audit and QMS readiness, supports validated clinical systems, and manages resilient infrastructure across corporate offices and remote workers.

Leads enterprise cloud, integration, automation, and technical resiliency strategy across AWS, Azure, SaaS, and hybrid environments. Oversees disaster recovery, backup, failover, incident response, platform reliability, APIs, EDI, ERP modernization, migrations, and M&A integrations. Builds high-performing technical teams, establishes operational excellence, partners with cybersecurity and business stakeholders, and communicates technology strategy, risk, investment, and recovery readiness to senior leadership.

Designs and improves build and delivery infrastructure, including CI/CD pipelines, cloud-native automation, Kubernetes platforms, and infrastructure tooling. Enables development teams, resolves delivery blockers, implements product features, contributes to platform roadmaps and architectural decisions, and ensures reliability, security, and compliance in a regulated healthcare environment.

Administer and optimize enterprise Windows and Linux infrastructure, virtualization, cloud platforms, networks, storage, security, endpoints, identity systems, and disaster recovery. Monitor performance, resolve infrastructure issues, maintain compliance controls, document systems, support technical escalations, and lead upgrades, migrations, and deployments. The role requires independent management of complex environments and strong communication with technical and non-technical stakeholders.

Leads the enterprise data platform engineering team and owns the reliability, security, scalability, performance, and cost efficiency of relational, NoSQL, and analytical platforms. Oversees database operations, ETL/ELT, Azure and Fabric environments, high availability, disaster recovery, monitoring, incident response, IaC, GitOps, automation, compliance, and vendor evaluations. Manages engineers, on-call operations, technical standards, platform investments, and cross-functional delivery while remaining hands-on with complex database design, administration, and performance issues.

Build and operate cloud-native platform infrastructure enabling AI agents in healthcare: safe CI/CD for agent capabilities, agent-focused observability, scalable infrastructure, automation, runbooks, and incident response.

Designs and operates CI/CD pipelines, full-stack applications, and platform integrations. Develops backend and frontend code, containerized deployments, infrastructure as code, observability, security controls, and automated testing. Integrates AI-assisted development tools while ensuring traceability, governance, compliance, and validation in a regulated environment. The role also contributes to architecture, documentation, technology adoption, and continuous improvement across global engineering teams.

Design, deploy, administer, secure, monitor, and troubleshoot enterprise AWS cloud infrastructure. Automate provisioning and operational workflows using IaC, scripting, Git, and DevOps practices. Support Windows and Linux environments, virtualization, containers, networking, monitoring, auditing, cost optimization, and complex application infrastructure. Use AI-assisted tools and LLMs for engineering productivity, maintain technical documentation, and participate in occasional after-hours maintenance and onsite activities.