Top Platform Engineer Jobs in Los Angeles, CA

Build and operate automated compute-capacity systems across regions, including forecasting, provisioning, reservations, fleet reconciliation, drift detection, observability, alerting, and cost optimization. Support demand planning for customer commitments, migrations, and new regions. Contribute to right-sizing, autoscaling, workload consolidation, capacity incident response, and post-incident improvements while coordinating with engineering and finance stakeholders.

Own and lead the technical direction of a major codebase section while designing, building, testing, documenting, and maintaining secure, scalable API-based decisioning products. Partner with product, engineering, and security teams on agile delivery, troubleshoot production issues, meet SLA requirements, and participate in an on-call rotation.

Designs, builds, operates, and supports backend services powering an enterprise AI platform. Responsibilities include developing APIs, AI gateway and orchestration capabilities, entitlements, tenancy models, data access patterns, integrations, and platform services. The engineer owns services throughout design, implementation, testing, deployment, monitoring, reliability, and support while collaborating with client product, engineering, data, and platform stakeholders.

Design and build a scalable Internal Developer Platform (IDP) using Kubernetes and cloud-native services, improve CI/CD and DX, enforce platform governance and security, lead MLOps/LLM infrastructure, mentor engineers, and align platform roadmap with product goals.

Own the design, development, and automation of Coinbase’s routing infrastructure connecting services to Kubernetes backends. Build scalable capabilities using Envoy, Istio, Ambient Mesh, and SPIFFE; improve routing latency, reliability, and performance; enhance developer tooling with responsible AI; and collaborate with security, reliability, and observability teams to resolve complex distributed-systems issues.

Design, develop, test, deploy, and support enterprise Microsoft Power Platform solutions using Power Apps, Power Automate, Power BI, and Dataverse. Integrate solutions with Microsoft 365, SharePoint, Azure services, Azure SQL, and external data sources. Gather requirements, document solutions, perform testing, troubleshoot issues, and provide technical leadership on governance and the Power Platform Center of Excellence. Mentor developers and support ongoing platform enhancements.

Deploys and maintains UDS and Kubernetes platforms in secure bare-metal environments. Responsibilities include configuring GPU compute, storage, and networking; managing infrastructure as code; supporting secure software delivery; troubleshooting platform services; and collaborating with mission stakeholders and engineering teams. The role is remote in the United States and requires U.S. citizenship, with 15–25% travel.

Designs and implements scalable, secure platform infrastructure across AWS, on-premises, and hybrid environments. Builds reusable Terraform modules, automation, CI/CD pipelines, and Policy as Code capabilities. Translates CMMC and enterprise security requirements into practical controls, including network segmentation, identity integration, logging, and monitoring. Partners with security and GRC teams, evaluates emerging technologies, mentors engineers, and drives platform standards through hands-on implementation.

Build and operate internal developer platforms, shared services, cloud infrastructure, delivery pipelines, and golden paths. Own reliability, security, observability, incident response, and cost optimization for production services. Shape platform architecture and engineering standards, advance AI-assisted software delivery, and mentor engineers across operating companies. The role is a hands-on principal individual contributor responsible for taking major platform capabilities from design through ongoing operation.

As a Principal Platform Engineer, you will own platform architecture, drive reliability and performance improvements, mentor engineers, and partner cross-functionally to enhance backend systems.

Designs and owns Webflow’s foundational cloud and source-control infrastructure, including multi-account landing zones, networking, DNS, PKI, secrets, Infrastructure as Code, GitHub delivery pipelines, self-service hosting patterns, policy guardrails, observability, cost controls, and security baselines. Partners with SRE, security, and developer productivity teams to improve reliability, scalability, adoption, and performance while managing cloud vendors and tooling relationships.

Lead design and evolution of SentiLink's data platform for fraud detection. Architect scalable batch and streaming pipelines, improve reliability, performance, and observability, set engineering standards, mentor engineers, drive cross-team technical initiatives, participate in production support/on-call, and evaluate build-vs-buy and emerging technologies.

Design, build, and operate backend Go services and smart contracts that mint, burn, bridge, and reconcile wrapped assets across multiple chains. Own end-to-end delivery from smart contract deployment through API design, SLOs, and production rollout. Drive asset migration pipeline improvements, run on-call operations, build observability and runbooks, and mentor junior engineers.

Design and deliver blockchain network infrastructure and platform APIs, lead multi-quarter initiatives (chain integrations, re-architecture, data migrations), define APIs/SLOs/observability and on-call ownership, ship SDKs and platform primitives, establish data contracts, and simplify cross-chain operations to enable analytics, ML, and data engineering teams.

Lead the technical strategy for Coinbase's Data Platform, architecting data systems for AI/ML workloads and ensuring data reliability, performance, and cross-functional alignment.

Operate and maintain AWS infrastructure, including EKS, EC2, RDS/Aurora, ElastiCache, S3, and IAM. Manage deployments, build reusable Terraform modules and Helm charts, maintain GitLab CI templates, troubleshoot networking, IAM, and Kubernetes issues, and improve observability and platform stability with Datadog. Partner with application teams to communicate platform standards and participate in production on-call ownership.

Design and build next-generation ads formats, backend infrastructure, and scalable distributed systems. Lead technical direction, collaborate across teams to define product requirements, experiment, analyze and optimize ad performance, and ensure availability, scalability, operational excellence, and cost management. Mentor engineers and apply AI tools and high-velocity workflows to deliver production-ready systems.

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

Lead the design, delivery, and production adoption of integrations-platform features, including SDKs, agents, job pipelines, developer tooling, and related services. Drive AI-enabled integration authoring, reliability, scalability, observability, and cross-platform support. Partner across product, platform, and customer teams to translate needs into technical solutions while providing architectural leadership, mentorship, and hands-on guidance across distributed systems and workflow orchestration.

Build and maintain secure cloud-native platforms supporting Navy application teams. Integrate, package, deploy, and operate applications across Kubernetes and UDS environments; develop infrastructure as code, CI/CD pipelines, Helm configurations, and automation. Troubleshoot application and platform issues, implement security controls and vulnerability remediation, support observability, collaborate across technical teams, and contribute to platform strategy. The role also involves mentoring engineers and supporting Kubernetes distributions including EKS and RKE2.

The Sr. Staff Platform Engineer will lead the design and development of cloud-native internal developer platforms, focusing on AWS and AI/ML integration to empower engineering teams and streamline workflows.

Build and automate cloud infrastructure across AWS using Terraform, GitLab CI/CD, Shell, and Python. Manage advanced networking, hybrid connectivity, Kubernetes/EKS, Istio, monitoring, observability, release engineering, and API platforms including Kibana, Dynatrace, and Apigee. Perform vulnerability remediation and patching while supporting security, compliance, alerting, and telemetry. Collaborate cross-functionally in fast-paced Agile/Scrum environments.

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 Senior Software Engineer on the Data Platform team, you'll enhance the data infrastructure, develop ETL pipelines, maintain data quality, collaborate across teams, and mentor junior engineers.

Lead design and delivery of backend-focused full-stack features for the Business Platform. Build APIs, data models, and reliable parsers, ensure secure resilient systems, mentor engineers, drive estimates and quality, collaborate with Growth on data-driven features, and integrate AI tooling into development workflows.