Top Reliability Engineer Jobs in Los Angeles, CA

Support and improve cloud infrastructure, Kubernetes-based microservices, CI/CD pipelines, infrastructure-as-code, observability, and production reliability. The role involves debugging application and infrastructure issues, participating in a 24/7 on-call rotation, maintaining documentation and runbooks, and collaborating with engineering and data science teams to deliver scalable, automated systems.

Build and maintain CI/CD pipelines, deployment automation, and cloud infrastructure across Azure and AWS. Manage observability with Datadog or Dynatrace, improve incident response and MTTR, provision infrastructure with Terraform, and develop automation scripts using Python, Bash, or PowerShell. Collaborate across VA engineering programs, improve platform stability, mentor junior engineers, and establish DevOps standards in a remote Agile environment.

Own the reliability, availability, performance, observability, and security of Ophelia’s GCP telehealth platform. Define SLOs, improve monitoring and incident response, expand Terraform infrastructure, strengthen CI/CD, manage disaster recovery, and address latency and Cloud Run performance. Lead on-call maturity, HIPAA/SOC 2 infrastructure controls, and reliability education for engineers. Use AI-assisted tools for automation and incident triage while partnering with technical and non-technical stakeholders.

Operate and improve large-scale AI compute, storage, and networking infrastructure in 24x7 environments. Responsibilities include capacity planning, performance analysis, patching, upgrades, firmware management, automation, incident response, documentation, disaster recovery testing, and L3 escalation support. The role also requires customer collaboration, operations enablement, and participation in an on-call rotation while supporting OpenStack or similar private cloud platforms.

Own infrastructure reliability across GCP, Kubernetes, PostgreSQL, and hundreds of cloud projects. Build automation and software that eliminate toil, reduce manual on-call work, address latency and reliability trade-offs, and provide system health visibility. Lead infrastructure projects, define service-level objectives with product teams, improve reliability practices, and develop production systems for agent-first applications.

Design, deploy, and maintain resilient AWS and Kubernetes infrastructure. Build automation, internal tools, CI/CD components, and AI-assisted operational workflows. Establish observability, SLIs, SLOs, and incident-management practices while leading postmortems and reducing toil. Ensure HIPAA compliance, review architecture, identify risks, and mentor engineers on reliability and platform best practices.

Lead reliability and design reviews for human-rated artificial-gravity space station systems. Oversee qualification and test completeness, drive engineering standards and processes, capture lessons learned, and partner cross-functionally to ensure design maturity, configuration control, and safe, resilient hardware development.

Develop and maintain reliable, scalable, and high-performing systems through automated deployments, monitoring, observability, and incident response. The role partners with development, operations, and QA teams to improve software delivery, establish reliability processes, track KPIs and SLIs, optimize database performance, and manage messaging systems. Participation in on-call rotations and occasional travel for team meetings are required.

Build and improve resilient, scalable backend systems as part of the Platform team. Responsibilities include implementing observability with OpenTelemetry, defining SLOs, owning incident response processes and follow-ups, mentoring teams on secure and reliable coding, and applying automated testing. The role involves working with Java, Spring Boot, microservices, distributed systems, Kubernetes, cloud infrastructure, and CI/CD while collaborating with engineering leadership and cross-functional teams.

Embed with service teams to define SLIs/SLOs and error budgets, run Operational Readiness Reviews, improve incident-to-improvement pipelines, advise on resilience and architecture, reduce operational toil through automation, and shape org-wide on-call practices and operational maturity.

Manage and improve CI/CD pipelines, containerized deployments, AWS infrastructure, Terraform resources, monitoring, and incident response for the SportsRecruits platform. Troubleshoot application, database, and distributed-system performance issues; maintain development and QA environments; collaborate with engineering, QA, product, and security teams; and implement automation, observability, scalability, and AI-assisted monitoring improvements.

Own and scale Drivetrain’s multi-cloud AWS and GCP infrastructure, Kubernetes platforms, CI/CD pipelines, Terraform modules, automation, observability, and security practices. Drive reliability engineering through capacity planning, incident response, postmortems, and SLI/SLO/SLA management. Partner with development teams to improve application deployability, scalability, resilience, and operational efficiency across the SaaS platform.

Lead observability and incident management efforts: define SLIs/SLOs, build monitoring/alerting, dashboards, logging, and tracing. Drive incident response, postmortems, and reliability improvements to reduce MTTD/MTTR. Integrate observability into CI/CD, maintain AWS and Kubernetes infrastructure, automate operations, and mentor engineers on SRE best practices.

Supports system reliability, scalability, and observability through monitoring, logging, metrics, tracing, alerting, infrastructure as code, automation, production support, incident response, and post-incident improvements. The role collaborates with development and operations teams and uses tools including Prometheus, Grafana, ELK, Terraform, AWS, Docker, and Kubernetes.

Own reliability, scalability, security, observability, and incident response for production applications across AWS and on-premises DoD environments. Build monitoring and alerting, define SLIs and SLOs, lead post-incident reviews, automate infrastructure with Terraform and Ansible, operate Kubernetes clusters, embed RMF and STIG controls, reduce operational toil, and support secure air-gapped deployments.

Manage AWS and GCP cloud environments, scale infrastructure globally, shape technical architecture, and build reliable CI/CD pipelines. Automate security and compliance controls, improve infrastructure performance, and develop systems interacting with smart contracts across multiple blockchains. The role requires Terraform, shell scripting, GitHub Actions, Docker, production cloud operations, and observability experience, with Kubernetes, networking, and fintech compliance knowledge preferred.

Build and operate automation and tooling for large-scale NVIDIA GPU infrastructure. Responsibilities include bare-metal provisioning, hardware validation, firmware and software upgrades, cluster lifecycle management, BMC and Redfish integration, failure diagnosis, reliability engineering, incident response, and automated repair. The role works across hardware, networking, Linux, Kubernetes, data center operations, and partner teams to safely bring GPU capacity into production.

Own production operations and highly available cloud infrastructure for regulated government environments. Lead incident response, root-cause analysis, disaster recovery testing, compliance operationalization, audit readiness, vulnerability management, and continuous monitoring. Build automation, secure CI/CD pipelines, infrastructure-as-code, observability, and compliance tooling across Kubernetes, Linux, containers, and cloud platforms. Partner with security, compliance, and engineering teams to improve reliability, deployment safety, and regulatory sustainment.

Owns quantitative reliability engineering for a microreactor, developing reliability, availability, capacity-factor, fault-tree, FMEA, and failure-mode models. Establishes system and component reliability requirements, analyzes degradation and failure risks, evaluates design tradeoffs, develops reliability predictions and test strategies, and drives reliability growth. Partners with multidisciplinary engineering, manufacturing, testing, and operations teams to improve reactor performance, maintenance, and mission success. Serves as the technical authority for reliability methods, tools, standards, dashboards, and best practices.

Own the operational health, observability, reliability, and failover of AI model providers and endpoints. Build SLO monitoring, canaries, quality regression detection, automated provider-operations tooling, and load-testing systems. Lead incident response, communicate with external providers, produce reliability scorecards, and drive postmortems and corrective actions. Support capacity planning and launch readiness for high-volume LLM inference traffic.

Design and improve observability (monitoring, logging, tracing, SLIs/SLOs), build automation and CI/CD, lead incident response and reliability improvements, mentor SREs, run on-call, and apply AI/ML to operational signals to forecast and reduce risks.

Own the reliability, availability, security, and observability of Tradeweb’s global AWS platform. Responsibilities include infrastructure-as-code automation, monitoring, SLO development, incident triage and resolution, performance analysis, architecture collaboration, and regular on-call support. The role requires cloud-native engineering, scripting, networking, Linux/Unix, security, and reliability expertise while contributing to an Agile engineering organization.

Owns production reliability for a B2B SaaS platform, including SLOs, error budgets, observability, alerting, incident response, recovery exercises, performance and capacity engineering, load testing, disaster recovery, and production readiness. The role writes automation and production code, leads incidents, coaches engineering teams, and improves reliability across Kubernetes, Azure, databases, messaging, and service infrastructure.

Performs site reliability engineering for large-scale cloud infrastructure, focusing on application and network performance, reliability, security, scalability, and capacity. Deploys highly available systems, automates cloud service deployments, monitors and troubleshoots services, analyzes logs and events, maintains SLAs, and resolves infrastructure issues. The role requires expertise in microservices, container orchestration, cloud migration, deployment automation, and multiple DevOps technologies.

Analyzes and resolves availability and performance issues in large-scale production and lab environments. Develops automation, monitoring, alerting, log analysis, debugging tools, and systems programming solutions. Collaborates with software development and engineering teams on CI/CD, platform architecture, incident resolution, and operational best practices within an agile SDLC.