Top Platform Engineer Jobs in Los Angeles, CA

Build testing tools, frameworks, metrics, and standards for Cedar’s engineering teams. Improve test-suite reliability, speed, coverage, service-to-service testing, and CI/CD integration. Establish testing best practices, connect tests to product behavior, and lead quality-improvement projects from investigation through adoption. The role requires strong software development and testing expertise in Python and JavaScript/TypeScript, with experience using modern testing frameworks and measuring test performance and reliability.

Own and improve Dropbox’s Windows endpoint platform, including provisioning, application delivery, patching, compliance, security configuration, troubleshooting, fleet health, and automation. Build code-managed endpoint operations using Intune, FleetDM, osquery, infrastructure-as-code, and GitOps practices. Lead cross-functional improvements, establish reliable deployment workflows, mentor engineers, review code and designs, and document reusable operational practices.

Own the architecture and technical direction of Metropolis Recognition Platform, including edge-to-cloud pipelines, identity resolution, real-time decisioning, privacy and consent models, observability, and progressive delivery. Lead cross-functional alignment across engineering, computer vision, data, security, platform teams, and partners. Establish RFCs, SLOs, testing standards, operational practices, and architectural best practices while mentoring engineers and managing high-scale distributed systems.

Build a high-performance frontend data platform for exploring and analyzing hardware telemetry. Develop React and TypeScript applications, interactive time-series visualizations, data visualization plugins, complex application state management, and LLM-assisted analysis workflows. Collaborate directly with hardware engineers and customers to define interfaces, prototype workflows, demonstrate features, and incorporate feedback into product development.

Designs, operates, and improves production Kubernetes platforms across cloud environments. Manages ArgoCD GitOps workflows, Terraform infrastructure, CI/CD integrations, platform reliability, observability, security controls, and developer enablement. Collaborates with application teams to onboard services, create self-service tooling and documentation, respond to incidents, and improve platform availability and performance.

Develop and validate a robotics SDK across humanoid and quadruped platforms. Own hardware bring-up, edge-side integration, on-device inference, developer tools, web services, and verification on real robots. Build simulation environments and deploy motion policies as the platform evolves. The role combines software development, embedded systems, robotics middleware, full-stack development, and multi-vendor hardware integration.

Build the core AI platform for an AI-native trading experience. Develop a high-performance Rust backend supporting streaming responses, low-latency tool execution, caching, and model orchestration. Design secure, observable APIs and runtime components with authentication, authorization, rate limiting, auditing, tracing, retries, and fallbacks. Build safe trading action infrastructure with deterministic previews, confirmations, idempotency, and audit logs while partnering with product and frontend teams.

Own cloud infrastructure, EKS, AWS systems, CI/CD pipelines, preview environments, observability, security, and compliance. Build developer tooling and internal applications, while leading AI adoption across Engineering through agent workflows and custom solutions. Support product analytics and data science pipelines, collaborate closely with internal stakeholders, and maintain platform reliability end to end.

Designs, operates, secures, and optimizes an enterprise Lakehouse data platform supporting analytics, AI, and data products. Responsibilities include platform administration, governance, access controls, performance optimization, monitoring, disaster recovery, Infrastructure-as-Code, CI/CD, cost optimization, capacity planning, compliance, and collaboration with cloud infrastructure and data teams. The role also provides technical leadership across multifunctional projects and requires occasional travel.

Develop accessible, supportable Power Platform applications and automations for a federal customer. Build Canvas and model-driven Power Apps, Power Automate flows, and Dataverse or SharePoint components. Implement validation, role-based access, error handling, auditability, notifications, integrations, and ALM practices. Participate in testing, peer reviews, release promotion, production readiness, documentation, and user support while collaborating with clients and technical teams.

Build, administer, automate, and support enterprise Redis environments across on-premises and multi-cloud platforms. Responsibilities include configuration, upgrades, migrations, high availability, backup and recovery, performance tuning, monitoring, security, incident response, infrastructure as code, and operational documentation. The engineer collaborates across application, infrastructure, security, SRE, network, and cloud teams, participates in on-call rotations, and works overnight hours.

Build and manage secure cloud platforms, automated deployments, infrastructure as code, Kubernetes environments, and self-service developer capabilities. Administer Linux systems, troubleshoot production services, manage accounts and documentation, and collaborate with developers to resolve issues. The role includes operational ownership, on-call support, customer collaboration, AI-augmented delivery, and up to 25% travel. U.S. citizenship and the ability to obtain a security clearance are required.

Lead operational reliability and platform enablement for Databricks: build monitoring, CI/CD, deployment standards, compute and job policies, observability, runbooks, and governance to support secure, cost-aware, production data workloads across regulated environments. Mentor engineers and align platform with cloud/infrastructure and compliance requirements.

Designs, implements, administers, and supports enterprise cloud platforms, integrations, databases, middleware, and application services. The role develops secure, scalable architectures; automates deployments and administration; supports Oracle Cloud and related technologies; resolves complex platform and integration issues; and leads technical improvements. It also provides architecture guidance, customer consultation, requirements analysis, technical reviews, coaching, and training across the organization.

Supports cloud infrastructure design, maintenance, monitoring, and automation. Assists with infrastructure as code, CI/CD pipelines, observability, patching, incident response, disaster recovery, security controls, cost optimization, and platform support. Contributes to runbooks, root-cause analysis, documentation, Agile delivery, code reviews, and Tier 2 on-call support while collaborating with development, operations, and security teams.

Owns deployment, lifecycle management, and evolution of a multi-prem platform across cloud, bare-metal, air-gapped, and regulated environments. Builds infrastructure-as-code and secure CI/CD pipelines, maintains Kubernetes clusters and observability systems, aligns SaaS and customer-hosted releases, and supports incident response and upgrades. The role also contributes to platform architecture, deployment documentation, compliance workflows, and secure operations across classified and government environments.

Owns an Agentic AI platform across CI/CD, AWS infrastructure, Kubernetes operations, observability, security, and runtime reliability. Builds delivery pipelines, automated testing and quality gates, EKS environments, infrastructure-as-code, monitoring and alerting, synthetic health checks, and runtime security testing. The role requires strong operational ownership, troubleshooting, secure supply-chain practices, audit readiness, and platform resilience in regulated or mission-focused environments.

Own the architecture and reliability of a mobile-first crypto trading and social platform. Build the data layer, rewards and accounting systems, notifications, APIs, trading integrations, cross-chain balance abstraction, resilient caching, and high-performance data delivery. Ensure idempotency, replay safety, PostgreSQL optimization, graceful degradation, and continuous uptime during extreme market volatility. Work independently in a remote, asynchronous environment while scaling infrastructure from zero to massive trading volumes.

Architects, operates, and improves cloud data and analytics platforms and BI infrastructure. Owns platform standards, CI/CD, reliability, monitoring, incident response, security, governance, performance, and technical documentation. Leads onboarding and enables engineering and client teams through reusable patterns and guardrails. Requires production platform ownership, cloud data and BI expertise, accounting experience, scripting, SQL, troubleshooting, and cloud fundamentals.

Lead developer platform engineering across GitLab, CI/CD, progressive delivery, cloud infrastructure, and release safety. Design and operate pipeline orchestration using Argo Rollouts and Kargo, support connector deployments, improve FinOps and developer insights, and establish safe rollback, recovery, and database change practices. Build self-service tooling, drive adoption, mentor engineers, and collaborate with Staff Engineers and architects across distributed teams.

Build and launch scalable fullstack web applications and APIs for Affirm’s Ads Platform. Collaborate with product, design, analytics, and engineering partners to break projects into deliverable phases, make technical trade-offs, write tested and extensible code, monitor service metrics, support on-call operations, review code, and participate in team development and interviews.

Designs and manages cloud infrastructure platforms using infrastructure as code, Kubernetes, CI/CD, and multi-cloud technologies. Responsibilities include improving developer experience and DevSecOps maturity, troubleshooting and optimizing platform reliability, implementing zero-downtime maintenance, automating processes, integrating security controls, documenting technical systems, and mentoring engineers. The role also drives scalability, cost optimization, availability, and continuous delivery across Reltio’s cloud services.

Build and own Arcadia’s internal developer platform across a large-scale data lakehouse and Kubernetes applications. Develop self-service APIs, templates, golden paths, CI/CD capabilities, observability, security controls, and reliability practices. Lead platform migrations, improve developer experience, manage stakeholder needs and costs, set technical direction, and coach senior engineers. The role requires hands-on software development alongside expertise in cloud infrastructure, Kubernetes, networking, infrastructure as code, SLOs, incident response, and platform product management.

Principal UI Engineer responsible for architecting real-time collaboration infrastructure, scalable web platforms, and AI-augmented developer tools. The role spans React and TypeScript UI engineering, CRDT-based synchronization, PostgreSQL persistence, performance optimization, CI/CD, observability, security, and platform resilience. The engineer will lead architecture, reliability, incident management, engineering standards, AI-assisted development quality, and mentorship across engineering, design systems, and product teams.

Design, build, and operate Supabase’s multi-region compute platform, including provisioning, orchestration, autoscaling, warm pools, resource optimization, observability, and reliability improvements. The role involves operating large Kubernetes clusters, improving infrastructure automation and architecture, responding to incidents, participating in on-call rotations, and resolving systemic platform issues. Strong Go and TypeScript skills, AWS experience, distributed systems knowledge, and cloud infrastructure expertise are required.