Top Hybrid DevOps & Platform Engineering Jobs

Leads enterprise infrastructure strategy, modernization, cloud adoption, cybersecurity initiatives, OT integration, and 24x7 operations across manufacturing and distribution environments. Manages servers, storage, networking, telecommunications, service providers, migrations, disaster recovery, major incidents, governance, and service levels. Builds and develops infrastructure teams while partnering with executives and business stakeholders. The hybrid role is based in Houston and requires up to 20% travel.

Lead the cloud infrastructure and developer platform team to define and execute strategy for cloud-native platforms, CI/CD, and shared services. Drive large-scale infrastructure projects emphasizing reliability, scalability, security, cost optimization, and operational excellence. Establish processes, ownership models, incident management practices, and technical standards. Partner across Product, Security, Compliance, Finance, and Exec leadership to prioritize investments and recruit, mentor, and retain engineering leaders and senior ICs.

Build and operate Aurora’s cloud infrastructure and developer platform. Responsibilities include managing Kubernetes upgrades, developing developer-facing tooling, operating Kubernetes services, improving development velocity, and collaborating across teams to gather requirements and advance platform projects.

Own Onos Health’s production infrastructure, including AWS architecture, multi-region disaster recovery, backups, monitoring, SLOs, incident response, SOC 2 and HIPAA controls, Terraform, CI/CD, preview environments, and AI-agent deployment guardrails. Establish platform strategy, reliability practices, security automation, audit evidence, and on-call operations as the company’s first dedicated infrastructure hire. The role also requires technical leadership, delegation, and communication with non-technical stakeholders.

Own and expand Accord’s multi-cloud infrastructure, initially deploying and operating the platform on Oracle Cloud Infrastructure. Responsibilities include Kubernetes, networking, cloud abstractions, observability, reliability, security, scalability, Infrastructure as Code, CI/CD, release and testing infrastructure, developer environments, and internal tooling. The role also owns the engineering platform and drives complex infrastructure projects from design through production while collaborating closely with the engineering team.

Designs and delivers enterprise automations, AI-assisted workflows, and governed integrations across business systems. Leads cross-functional integration projects, operationalizes Glean-based AI workflows, establishes engineering and observability standards, implements error handling and alerting, and mentors automation engineers. The role partners with stakeholders to translate business needs into scalable technical architectures and roadmaps while advancing reliable, secure, and reusable automation practices.

Design and maintain infrastructure for AI applications across cloud, on-premises, and air-gapped classified environments. Build hardened Docker images, Helm charts, Kubernetes deployments, and GitHub Actions CI/CD pipelines. Collaborate with customers on infrastructure requirements and onsite deployments, support system architecture and accreditation efforts including FedRAMP, and improve deployment strategies for LLMs. The role also contributes to technical strategy, team culture, and solving complex infrastructure challenges.

Designs and maintains secure, scalable cloud platform capabilities supporting application delivery, observability, CI/CD, Infrastructure-as-Code, deployment automation, and operational workflows. The role uses Azure, Terraform, ARM templates, GitHub, Kubernetes, Docker, and monitoring tools while embedding DevSecOps and SRE practices. Responsibilities include incident response, root cause analysis, mentoring, cross-functional collaboration, platform escalation support, and participation in a 24/7 on-call rotation.

Senior Site Reliability Engineer responsible for improving platform availability, scalability, resilience, and observability. The role manages AWS and EKS infrastructure with Terraform, builds CI/CD pipelines using GitHub Actions, expands GitOps through ArgoCD and Helm, strengthens disaster recovery, supports incident response, and develops monitoring, alerting, dashboards, and SLOs. The engineer partners with product teams, leads infrastructure initiatives, troubleshoots Kubernetes, and supports high-availability distributed systems.

Drive reliability, autoscaling, and cost efficiency for cloud-based data and machine learning platforms. Manage Google Cloud services with Infrastructure as Code, optimize Kubernetes workloads, operationalize machine learning and Retrieval-Augmented Generation systems, and build CI automation, failovers, schema migrations, observability, and incident-response processes using Python and Bash.