Top Remote Site Reliability Engineer Jobs in Los Angeles, CA

This internship role focuses on SRE skills, requiring collaboration and problem-solving in dynamic environments for Zscaler's Zero Trust Exchange team.

As a Cloud Cost Utilization SRE at GitLab, you'll manage cloud spending, improve tracking and optimization of cloud usage, and collaborate with finance and engineering teams to enhance cost efficiency across AWS and GCP.

The Senior Site Reliability Engineer will lead security design and implementation for cloud infrastructures, mentor teams, and automate security solutions.

Own reliability, monitoring, and incident response for AI infrastructure; build automation and CI/CD tooling; manage Kubernetes/Docker production workloads; partner with infrastructure, security, and compliance; improve observability and documentation; develop internal full‑stack tooling in Go or Python.

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

As a Senior Site Reliability Engineer, you'll design and build complex systems, support Atlas platform operations, automate processes, and ensure high availability of services.

Lead development of AI-assisted reliability tooling, own incident response end-to-end, improve observability and SLO/SLI frameworks, scale single-tenant SaaS operations, mentor engineers, and reduce recurring operational toil through engineering and automation.

The role involves defining reliability strategies, leading initiatives across teams, enhancing monitoring and incident response, and mentoring engineers at Dropbox.

Lead long-term strategy and architecture for cloud and on‑prem platform infrastructure, driving Kubernetes and multi‑cloud reliability, IaC/GitOps automation, observability, SLO/SLI/error‑budget practices, incident leadership, AI‑augmented tooling adoption, and mentorship of senior engineers to improve platform resilience and developer experience.

The Senior Site Reliability Engineer will develop and support distributed storage services, ensuring reliability and operational safety, with a focus on automation and efficiency.

Seeking a Site Reliability Engineer with expertise in networking and distributed systems for building secure multi-cloud infrastructure. Responsibilities include maintaining network architecture and ensuring reliable service-to-service communication, involving a 24/7 on-call rotation.

The Senior Site Reliability Engineer will enhance reliability of Block's platform, improve incident response using AI tools, and coordinate incident management. Responsibilities include building reliable systems, standardizing tools, and leading high-severity incidents during on-call rotations.

Own reliability, automation, and DevOps for Coinbase's corporate IAM platform: on-call/incident response, CI/CD and IaC pipelines, identity lifecycle tooling, observability and disaster recovery, documentation, and cross-team IAM advisement to ensure secure, scalable access for a global workforce.

Senior SRE on the IT Operations team owning reliability, monitoring, and incident response for AI infrastructure. Build automation, CI/CD and Kubernetes tooling, improve observability and documentation, and develop internal full-stack tools using Go or Python. Partner with Infrastructure, Security, and Compliance to scale secure, resilient AI deployment pipelines.

The Senior Technology Site Reliability Engineer is responsible for maintaining and optimizing infrastructure and applications, ensuring reliability and performance while automating processes and collaborating with teams.

The Deployment Engineer will build and operate AI inference clusters, ensure scalable deployments, optimize allocation, and maintain infrastructure. Responsibilities include software updates, telemetry development, and collaborative improvements with teams.

Maintain and improve cloud infrastructure and SRE practices using IaC (Terraform), Azure, and Kubernetes. Manage CI/CD, monitoring, incident response, post-mortems, and security risk mitigation. Lead client-facing discussions, engage third-party suppliers, reduce operational toil, and improve service request and change management processes.

The Sr. Database Site Reliability Engineer manages the reliability and performance of Azure PostgreSQL platforms, applying SRE principles for automation and observability. Responsibilities include incident response, backup strategies, and ensuring compliance with security standards.

Own and evolve Fabric's AWS/EKS infrastructure, build Terraform-managed infrastructure, improve observability with Datadog, lead incident response and SLOs, automate operations with AI/agentic workflows, optimize AWS resources, and ensure HIPAA-compliant, high-availability platform architecture while mentoring engineers.

Lead product lifecycle for internal PaaS and Data-as-a-Service offerings focused on SRE and data engineering. Drive system reliability (99.99% availability), scaling strategies, GCP cost optimization, BigQuery/table and ETL performance, AI/ML enablement, and data governance/compliance across cross-functional teams.

Serve as an SRE-focused AI enablement partner: evaluate AI architectures, coach engineering teams on LLM integrations and agentic/RAG patterns, advise on observability, SLOs, governance, and operational readiness, and develop internal standards and documentation.

Lead the design, build, and operation of scalable observability and telemetry platforms. Implement IaC and automation, support monitoring/alerting, troubleshoot production distributed systems, participate in incident response/on-call, and mentor engineers while driving platform reliability and cross-team technical decisions.

Own US PST coverage for releases and incidents as the first SRE; bridge infrastructure and code by working with Kubernetes, Terraform, and AWS and patching Elixir when needed; lead incident response and post-mortems; define SLOs and observability; author runbooks and support HIPAA-aligned compliance for a regulated medical-device platform.

Lead technical design and architecture of large-scale Ceph clusters, drive capacity planning and major upgrades, resolve complex cross-functional production incidents, establish automation and reliability standards, and mentor engineers on advanced Ceph operations to scale the global storage platform.

Own and maintain reliability, performance, scalability, and capacity of massive Ceph storage clusters. Troubleshoot distributed storage issues, build automation (Python/Shell, SaltStack, Ansible), define observability (SLIs/SLOs, PromQL/LogQL, Grafana), and lead lifecycle initiatives like upgrades, expansions, and migrations.