Top Hybrid DevOps & Platform Engineering Jobs

Own and operate OnRamp's AWS platform, IaC, CI/CD, and deployment tooling; build AI/agent execution infrastructure and observability; drive reliability, incident response, security/compliance, and automation using coding agents and LLM tools.

The Production Support Manager will ensure the stability and performance of a SaaS platform, lead a support team, perform root cause analysis, and collaborate with development and operations teams.

Provide end-user IT support, manage onboarding/offboarding and device provisioning, own asset inventory and onsite networking/AV. Build identity and cross-platform automation (Okta, Workflows) and scripts (Python/JavaScript). Support SOC 2/PCI/GDPR controls, vendor security reviews, and incident triage.

Design, build, and maintain scalable backend and infrastructure systems (50% backend, 50% infra). Improve developer experience, observability, performance, availability, and latency. Lead large-scale architectural changes (database sharding, event bus, search scaling), mentor engineers, drive cross-team best practices, and collaborate with InfoSec on compliance and security automation.

This role involves ensuring system continuity in trading operations, developing automation tools, and improving system performance in a trading environment.

The Oracle Platform Administrator IV leads complex platform changes, optimizes performance, and enhances automation for Oracle databases, ensuring high availability and service quality.

Manage and support enterprise DNS, DHCP, IPAM and load balancing infrastructure across on-prem, cloud, and data centers. Troubleshoot Tier 2/3 incidents, perform upgrades and security hardening, implement automation, follow ITIL change processes, and collaborate with Network, Cloud, Application, and Security teams to ensure high availability, compliance, and disaster recovery readiness.

Lead technical direction, design, build, and operate Snap's large-scale service and compute infrastructure. Drive platform roadmaps, reliability, observability, CI/CD, and developer experience. Act as hands-on staff tech lead across cross-functional initiatives, mentor engineers, and shape infrastructure for an AI-first future.

Lead enterprise platform strategy and architecture for cloud, data, and AI platforms (Fabric, Databricks, Synapse, OpenAI/Foundry). Own platform lifecycle, establish standards and guardrails, drive modernization and cost optimization, influence governance, mentor senior engineers, and partner with executives to translate strategy into platform capabilities.

Build automated reliability and self-healing platform tooling to protect production at scale. Improve incident management, reduce alert noise, evolve observability (monitoring, SLOs, performance detection), and develop AI-driven operational automation. Partner with product teams to diagnose reliability gaps, drive incident prevention, and champion operational excellence and best practices across engineering.