Top Platform Engineer Jobs in Los Angeles, CA

Senior Windows-focused Platform Engineer responsible for administering Windows server environments, supporting IBM FileNet/DataCap/BAW/ICN applications, ensuring security and performance, implementing monitoring, troubleshooting production issues, documenting systems, and collaborating with internal teams and clients to improve platform stability and processes.

Build, maintain, and improve Kubernetes clusters and cloud infrastructure using IaC. Own CI/CD pipelines, identity and access management, monitoring, certificate lifecycle, and platform security. Troubleshoot deployments, support on-call incidents, document runbooks and ADRs, and mentor junior engineers while contributing to platform strategy and ATO compliance.

The Mission Support Engineer manages software deployments, provides technical support, develops training, and collaborates with teams to enhance customer success and processes.

Manage and deploy UDS platform environments using IaC across AWS EKS, Azure AKS, and on-prem clusters. Provide on-call support, train system integrators, deliver technical guidance, coordinate onboarding, gather user feedback, and drive platform improvements and automation to optimize deployments and mission outcomes.

The Platform Engineer will develop, maintain, and automate the platform environment, ensuring efficient integration and problem-solving, while guiding junior engineers.

As a Platform Engineer, you will automate production environments, validate implementations, problem-solve independently, and facilitate communication between teams.

Manage and operate UDS deployments across cloud and on-prem Kubernetes clusters, build IaC packages, provide customer onboarding/training and production support, troubleshoot to meet SLAs, gather feedback to improve delivery, and analyze operational data to optimize platform delivery.

As a Staff Backend & Platform Engineer, you'll design and operate identity management, financial operations systems, and blockchain infrastructure, ensuring high reliability and security.

As a Senior Backend & Platform Engineer, you'll design and operate critical systems in identity management, financial operations, and blockchain infrastructure while leading projects and mentoring engineers.

As a Senior AI Platform Engineer, you will build and maintain AI platform infrastructure, enabling scalable access to AI tools and workflows, ensure security and reliability, and define deployment standards.

Design, build, and operate governed multi-account AWS platform capabilities: account vending, federated identity, SCP guardrails, reusable IaC modules (Terraform/CloudFormation/CDK), Git-based CI/CD promotion pipelines, centralized logging, cost controls, and automated lifecycle management for accounts and environments.

The DevOps Engineer III enhances software infrastructure for unmanned aircraft systems, focusing on backend integrations, frontend development, CI/CD pipelines, and system monitoring, collaborating with engineering teams.

As a Senior Platform Engineer, you will design, implement, and maintain data models and infrastructure while improving data quality and scalability. You'll collaborate across teams and mentor fellow engineers to enhance data usability and reliability.

The Power Platform Engineer designs and implements solutions using Microsoft Power Platform tools, integrates with Azure services, leads development phases, ensures quality, and provides ongoing support.

The Principal DevOps Engineer at Liatrio will lead engineering delivery, enhance team morale, engage with clients as a trusted advisor, and oversee project execution while coaching team members.

Design, build, and operate a next-generation CDP/messaging platform at scale. Define infra topology, scaling, blast-radius limits, and safety guardrails for AI agents. Own reliability, capacity, cost, security boundaries, incident leadership, and author self-verifying runbooks and checks so automation can operate safely.

Design, build, and operate the core data warehouse, ingestion, orchestration, and cataloging platform. Develop batch and streaming pipelines, ensure data quality, governance, observability, and provide ML data platform capabilities. Lead architecture, improve platform reliability and performance, and collaborate with product, engineering, data science, security, and compliance teams.

Design, implement, and maintain cloud-native NICE CXone contact center solutions, build API-based integrations, develop CXone Studio scripts, perform unit/system testing, lead stakeholder discovery, present technical solutions, and uphold development and operational best practices.

The Site Reliability Engineer will automate tasks, enhance platform infrastructure, improve observability, and lead incident response efforts for optimal performance.

The Staff Engineer, Quality Platform will establish quality metrics, standards, and tooling while partnering with engineering teams to embed quality processes and foster a quality-driven culture across the organization.

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.

As a Staff Software Engineer, you will enhance platform engineering by improving deployment strategies and developer experiences, establishing reliable systems and mentorship across teams.

Build, operate, and extend data platform and application-layer services enabling secure, self-service data applications at scale. Implement provisioning, CI/CD, access control, integrations, observability, automation, and incident response while contributing to semantic layer and AI-ready tooling roadmaps.

The Staff Platform Engineer will lead the design and operation of ad-serving platforms, ensure reliability, and mentor teams while implementing automation and observability practices.

The role involves architecting scalable backend systems for real-time evaluations, integrating with streaming data, and building intervention layers for AI applications. You'll design frameworks and operationalize vector databases while ensuring low-latency service performance.