Top Engineering Jobs in Los Angeles, CA

Build and operate AWS GovCloud data infrastructure across development, preproduction, and production environments. Establish PostgreSQL platforms, infrastructure-as-code with Chef, BI infrastructure, identity integrations, monitoring, observability, CI/CD, and disaster recovery. Support data pipelines, troubleshoot incidents, optimize databases, and ensure FedRAMP and FISMA compliance. Collaborate with security, compliance, DevOps, and data engineering teams while delivering greenfield infrastructure from architecture through production.

Design, implement, optimize, and maintain scalable hybrid multi-cloud Kubernetes platforms operating at massive scale. Integrate open-source technologies, improve platform reliability, provide technical direction, mentor engineers, and participate in on-call support. The role requires expertise managing large Kubernetes clusters, observability tools, Linux environments, public clouds, custom data centers, and AI-enabled workflow improvements.

Design, build, monitor, and maintain large-scale Linux infrastructure supporting distributed S3-compatible object storage across multi-cloud environments. Responsibilities include kernel and storage optimization, network and hardware troubleshooting, automation with Chef or Ansible, observability, forecasting capacity, technical leadership, project coordination, mentoring, documentation, and on-call support.

Design, implement, and maintain scalable hybrid multi-cloud Kubernetes platforms at massive scale. Ensure high reliability, integrate open-source observability tools, provide technical direction, operate large Linux environments across cloud and data centers, handle on-call duties, and mentor junior engineers.

Engineer II will administer and engineer virtualization environments (VMware and open-source), manage Linux systems, monitor and maintain production infrastructure, troubleshoot server hardware, automate deployments (IaaS, Chef), write automation scripts, participate in on-call rotations, and work with distributed teams across time zones. Familiarity with public cloud concepts and proven use of AI technologies to improve operations is expected.

Lead design, governance, and scaling of CrowdStrike's Atlassian Cloud ecosystem for 12,000+ employees. Own architecture, migrations, app governance, integrations, workflow automation, SDLC traceability, and stakeholder mentorship to ensure secure, performant, and standardized platform operations.

Maintains and improves large-scale production systems across bare-metal servers, virtual machines, and container platforms. Responsibilities include Linux administration, architecture recommendations, hardware troubleshooting, production deployments, scripting and automation, monitoring, CI/CD, configuration management, technical documentation, and on-call support. The role collaborates with distributed cross-functional teams, uses AI to improve workflows, and requires periodic business travel and government-related background and fingerprint checks.

Validate server hardware components and new platform designs through power, thermal, performance, firmware, and automation testing. Maintain hardware test infrastructure, document technical findings, coordinate with ODM/OEM partners, and collaborate with software teams on BIOS, kernel, and firmware optimization. The role requires expertise in server architectures, validation methodologies, Linux, Python, Bash, Redfish, IPMI, and industry standards including PCIe, NVMe, and DDR.

Operate and automate large-scale data plane services (Cassandra, Elasticsearch/OpenSearch, Kafka, etc.), build infrastructure for a devops model, troubleshoot production incidents, and ensure petabyte-scale data is secure, available, and efficiently managed.

The role focuses on implementing cost optimization solutions for cloud infrastructure through automation and collaboration across teams, enhancing FinOps practices.