Top Hybrid DevOps & Platform Engineering Jobs

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.

Own design, deployment, and operation of corporate and wireless networking across multi-site offices and data center-adjacent environments. Design Wi‑Fi for challenging RF environments, validate with surveys, run automation-first corporate network operations (config-as-code, zero-touch), onboard new sites, and ensure reliable remote access and campus LAN connectivity.

Build and operate scalable AWS infrastructure and internal tooling for document ingestion, AI data pipelines, observability, and deployment workflows. Shape technical strategy, collaborate with enterprise clients, establish security and reliability standards, and mentor team members. The role requires hands-on ownership of cloud infrastructure, CI/CD, databases, queues, caches, logging, observability, and developer efficiency tooling in a fast-paced B2B SaaS environment.

Leads North American Cloud Operations teams responsible for reliable, secure, scalable production services across AWS, GCP, and Azure. Oversees multi-cloud infrastructure, networking, middleware, data services, incident escalation, root-cause resolution, compliance, observability, automation, and operational improvements. Builds and mentors the Cloud Operations organization while ensuring 24/7 global support and cross-functional collaboration.

Leads corporate IT and DevOps across four international sites, managing teams, SaaS applications, identity, endpoints, networking, datacenter and EDA infrastructure. Owns security, compliance, Linux systems, Kubernetes, CI/CD, developer tooling, physical IT, vendors, budgets and infrastructure modernization. Drives identity automation, OS migrations, SaaS governance, audit readiness, datacenter expansion, international integration and support for semiconductor engineering environments.

Build and maintain CI/CD pipelines, manage and automate cloud infrastructure and configurations, implement monitoring/logging and alerting for reliability, enforce security and compliance practices, and collaborate with development teams to support scaling and operations.

Leads reliability engineering for a cloud-based, real-time healthcare platform. Responsibilities include maintaining 99.99% uptime, designing fault-tolerant and self-healing systems, managing AWS and Kubernetes infrastructure, implementing Terraform and observability tooling, leading incident response and disaster recovery, ensuring HIPAA and SOC 2 compliance, and driving scalability strategy while mentoring the SRE team.

Lead cloud financial management initiatives across AWS and DataDog, including cost optimization, budgeting, forecasting, usage analysis, and cost modeling. Manage cloud cost tools, establish usage policies, define efficiency metrics, and translate financial insights for stakeholders. Partner with Finance, Product, and Engineering teams to embed FinOps practices, improve accountability, and balance performance, security, and cost. Mentor teams and drive continuous cloud efficiency improvements.

Design, develop, and maintain Terraform-based infrastructure and reusable cloud components across AWS, Azure, or GCP. Build and optimize Jenkins CI/CD pipelines, automate deployment strategies, integrate testing and security checks, and manage infrastructure lifecycle activities. Support containerized cloud-native environments, monitoring, logging, production releases, incident management, and root-cause analysis while collaborating with development, QA, security, infrastructure, and architecture teams.

Own fleet-scale reliability, upgradeability, and operational excellence for an edge platform. Design and operate automated, secure lifecycle systems, observability, and incident response. Lead cross-domain, high-severity incident ownership, set production standards (SLOs/SLIs, change management), mentor engineers, and apply AI to accelerate diagnostics and operational workflows.