Top Infrastructure Engineer Jobs in Los Angeles, CA

Design, implement, and operate large-scale distributed storage systems ensuring data durability, availability, and performance. Build and maintain replication, erasure coding, and lifecycle systems; write high-quality Go/Rust/C++ code; participate in on-call rotations; troubleshoot production incidents; collaborate with networking, hardware, and capacity teams; lead scoped projects and drive infrastructure evolution.

As a Network Engineer at Deepgram, you'll optimize global network infrastructure for real-time audio streaming, focusing on latency reduction across hybrid cloud and on-premises environments.

The engineer will build and operate AI/ML infrastructure, managing services on AWS and bare metal, using tools like Kubernetes and Terraform.

Seeking a senior or staff level infrastructure engineer to build and maintain scalable infrastructure for AI software development, including app hosting and SDK integration.

Deploy, operate, and debug AI systems inside client infrastructure. Own production readiness, networking, observability, cost controls, IaC (Terraform/Pulumi), CI/CD and stakeholder management with client IT/DevOps to ensure scalable, governable AI deployments.

The Infrastructure Engineer is responsible for building and maintaining deployment automation, CI/CD pipelines, and ensuring the operational health of production deployments across federal environments, focusing on automation and compliance.

The role involves designing and advancing infrastructure for the engineering team, ensuring the reliability of Kubernetes clusters, automating operations, and building machine learning infrastructure.

As a Database & Infrastructure Engineer, you will optimize PostgreSQL infrastructure, improve performance, build internal tools, and design data delivery pipelines for a large-scale application.

The Staff Cloud Infrastructure Engineer is responsible for designing, automating, and managing cloud infrastructure using AWS and tools like Terraform. This role involves collaborating with engineering teams, ensuring security, and mentoring others, all while building reliable and scalable systems.

Build and operate Abnormal AI's cell-based cloud infrastructure: bootstrap cells, provision multi-cloud (AWS/Azure) resources, deploy application stacks, automate lifecycle tooling, triage cross-layer incidents, reduce toil via automation, participate in on-call, and collaborate with product and application teams for scalable, secure, cost-efficient deployments.

Design, build, and maintain internal infrastructure and shared engineering services. Improve observability, CI/CD, and automation, operate cloud-managed services and VMs, participate in incident response, and collaborate with product and customer-facing teams to enable data-driven decisions and scalable systems.

Design, implement, monitor, secure, and support enterprise IT infrastructure (servers, virtualization, networking, cloud). Maintain Windows Server/AD and Microsoft 365 environments, Azure/Intune, backups/disaster recovery, security (HIPAA/NIST/CIS compliance, EDR/SIEM), perform upgrades, troubleshooting, vendor coordination, documentation, on-call support, and infrastructure project work.

The Staff Software Engineer will architect and develop high-performance cloud services, resolve infrastructure bottlenecks, ensure engineering best practices, and mentor junior members.

Design, implement and operate a Kubernetes-based cloud-native platform, managing containerized applications' lifecycle, CI/CD pipelines, and infrastructure while ensuring reliability and security.

Implement and support DNS and Kubernetes architecture in a private cloud environment, ensuring scalability, resilience, and performance optimization through IaC tools, while collaborating with teams and managing incidents.

The Engineer will design and manage network infrastructure, ensure security compliance, oversee IT operations, and support facility expansions. The role requires strategic and tactical execution in a fast-paced environment.

Fractional DevOps/Cloud Infrastructure Engineer to design and build AWS Dev/UAT/Prod environments, implement Infrastructure as Code with Terraform, create CI/CD pipelines using GitHub Actions, and implement monitoring, logging, alerting, and access/security practices. Fintech/crypto/payments experience preferred. ~20 hours/week, NYC preferred, US remote considered.

Own and operate Ghost's cloud and office networking: manage AWS, Railway, and Vercel infrastructure; design and maintain office switches, firewalls, VLANs, and Wi‑Fi; drive IaC, CI/CD reliability, security and compliance (SOC 2); troubleshoot outages; partner with Engineering and Data to scale infrastructure and evaluate new tooling for the AI-native platform.

The Principal Infrastructure Engineer designs and evolves infrastructure for production services, focusing on high availability, reliability, and automation while leading technical solutions and cross-team collaboration.

As a Senior Engineer in DevOps & Infrastructure, you will manage and evolve cloud infrastructure on AWS, ensure security and compliance, and improve CI/CD practices.

The Senior Infrastructure Engineer will manage and scale LiveKit's core infrastructure, focusing on reliability and performance, while working on Golang code and automation for distributed systems.

The Infrastructure Engineer designs and maintains distributed systems, writes backend services in TypeScript, and operates cloud infrastructure, ensuring reliability and scalability.

The Senior Flutter Engineer will own the mobile platform, focusing on audio recording, offline capabilities, cross-platform stability, and CI/CD pipeline maintenance, while mentoring junior engineers.

Design, deploy, and operate scalable multi-cloud data and AI platform infrastructure. Build IaC, CI/CD pipelines, containerized workloads, self-service ML provisioning, observability, and secure production practices while driving architecture, standards, and mentoring.

Own deployment and operation of Nominal's self-hosted, air-gapped, and on-prem infrastructure. Troubleshoot Linux, networking, Kubernetes, and storage in production, work directly with customer IT and security teams, build provisioning automation, runbooks, and observability, and support critical onsite implementations while shaping strategy for regulated deployments.