Top Hybrid DevOps & Platform Engineering Jobs

Build and maintain production data pipelines and models to support analytics, ML, and research. Ensure data quality and availability, operate and monitor the data platform, investigate failures, optimize performance and costs, and collaborate with Product, Engineering, and Research teams.

Design and build the cloud platform integrated with the database runtime to enable fast workload placement, elastic scaling, multi-tenant isolation, automated provisioning, upgrades, recovery, observability, and cost-efficient execution across Kubernetes and multi-cloud environments.

Design, build, and operate backend platform services and infrastructure, owning features end-to-end from design through production. Improve reliability, performance, and scalability across services and the data layer, investigate and resolve production incidents, and convert fixes into durable improvements. Perform database work as needed (query/index tuning, sharding, capacity planning) and collaborate with SRE and application teams to meet zero-downtime SLAs. Mentor peers and raise engineering quality through reviews and best practices.

The DevOps Engineer will design, automate, and manage cloud-native infrastructure, specifically focusing on Kubernetes, CI/CD pipelines, and GCP operations.

Own CI/CD, reliability, and deployment infrastructure for GTM systems (Salesforce, NetSuite, MuleSoft, Workato) and AI agent workloads on GCP and AWS. Build pipelines, observability, environment lifecycle, secrets management, IaC, container security, and runbooks. Partner with developers, Security, and IT to enforce guardrails, perform incident RCAs, and automate tooling to increase deployment safety and velocity.

The Cloud DevOps Engineer will develop and manage cloud solutions for the U.S. Intelligence Community, focusing on AWS and other cloud technologies while collaborating with stakeholders.

Own technical implementation and onboarding for customers from evaluation through post-sale: configure, integrate, and deploy the product, run POCs, build repeatable playbooks, diagnose complex integration issues, and collaborate with Sales, Product, and Engineering to accelerate time-to-value.

Lead and grow a data platform engineering team: set technical roadmap, ensure reliability and scalability, hire and coach engineers, partner cross-functionally, make build vs buy decisions, and keep delivery predictable while balancing short- and long-term priorities.

Lead a global team of 40+ to manage corporate network, server, productivity tools, and MDM. Define roadmaps, metrics, budgets, enforce quality/testing standards, drive security-first culture, mentor engineers, and collaborate across organizations to deliver reliable infrastructure and developer productivity tools.

Design, deploy, and maintain ServiceNow platform integrations across multi-cloud and on-prem environments. Implement CI/CD and DevSecOps practices, manage roles/permissions and IdAM integrations, create automated tests and documentation, support Linux/Windows infrastructure, and collaborate with stakeholders and Agile teams to ensure secure, production-ready solutions.