Los Angeles, CA

Platform Engineer

Platform Engineer jobs in Los Angeles, CA

$118K – $267K

Typical pay · from 13 of 14 jobs

Updated 7 Nov

About these jobs RTX, Intuit and Intercontinental Exchange Holdings, Inc. are hiring Platform Engineers in Los Angeles, CA, with typical pay of $118K to $267K. Onsite roles lead, with hybrid and remote roles too. Employers want 5-10 or 10+ years of experience at the Mid-Senior level, plus Python, Kubernetes and Observability.

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IIntuit logo
Posted 4 Nov

Staff Data Engineer - Experimentation Platform

Intuit · Software Development · 16k people

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Mountain View, California
On-site
Full-time
10+ years exp
$189K – $274K
Mid-Senior level

Design, analyze, and interpret experiments, and develop analytics and data capabilities that support product decisions across Intuit. Explore engagement data, define and validate success metrics, and collaborate with cross-functional teams to present research and insights.

Data EngineeringExperiment DesignA/B TestingDistributed Systems
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LLiberate logo
Posted 28 OctDirect apply

Senior Software Engineer (DevOps / Platform Engineering)

Liberate · Technology, Information and Internet · 109 people

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Boston, Massachusetts
Remote
Full-time
10+ years exp
$180K – $250K

You will lead the architecture and operation of core AWS infrastructure, including PBX systems, EKS, and secure networking to support real-time AI voice and workflow automation. Additionally, you will drive operational excellence, mentor engineering teams, and modernize developer workflows to ensure high reliability and compliance.

AWSKubernetesEKSTerraform

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PPatreon logo
Posted 26 OctDirect apply

Staff Backend Engineer, Video Platform

Patreon · Technology, Information and Internet · 1.2k people

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San Francisco, California
Hybrid
Full-time
10+ years exp
$258 – $386

You will lead the architecture and delivery of live video systems, including ingest, transcoding, and playback, while building scalable backend services. Additionally, you will drive vendor evaluations, establish observability practices, and mentor engineers to ensure high-quality, reliable streaming experiences.

Backend engineeringLive streamingHLSWebRTC
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IIntercontinental Exchange Holdings, Inc. logo
Posted 21 OctDirect apply

Lead Engineer, Platform Engineering - AI

Intercontinental Exchange Holdings, Inc. · Financial Services · 12k people

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Pleasanton, California
On-site
Full-time
10+ years exp
$134K – $180K

The AI Platform Engineering Lead drives the strategy, architecture, and governance for AI/ML infrastructure, including GPU clusters, RAG pipelines, and agentic AI systems. They manage the AI Platform Operations team, oversee budgets, and ensure scalable, secure, and compliant platform operations across the enterprise.

Platform engineeringAI/ML infrastructureKubernetesGPU infrastructure
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SState Street logo
Posted 21 OctDirect apply

Senior Platform Operations Engineer

State Street · Financial Services · 48k people

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Boston, Massachusetts
On-site
Full-time
10+ years exp
$120K – $203K

Lead the operational support, administration, and reliability of enterprise cybersecurity, SIEM, and observability platforms. Partner with cross-functional teams to optimize data ingestion, threat detection, and incident response workflows while ensuring service resiliency.

SIEMCybersecuritySplunkObservability
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AAnthropic logo
Posted 19 OctDirect apply

IT Systems Engineer, Client Platform Engineer, ChromeOS

Anthropic · Research Services · 6.2k people

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Washington, District of Columbia
Hybrid
Full-time
5-10 years exp
$325K – $360K

You will own the end-to-end lifecycle of ChromeOS as a platform, including device standards, policy management, and international procurement. Additionally, you will collaborate with security and IT operations to implement device trust signals, data loss controls, and support Android as a secondary platform.

ChromeOS managementGoogle Admin consoleChrome EnterprisePython
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RReddit logo
Posted 15 OctDirect apply

Senior Software Engineer, Core Platform

Reddit · Social Networking Platforms · 5k people

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Los Angeles, California
Remote
Full-time
5-10 years exp
$191K – $267K

Design and scale innovative API solutions and media platforms to support millions of users and high transaction volumes. Provide technical coaching and mentorship to junior engineers while ensuring high system uptime and performance.

GolangPythonDistributed SystemsAPI Platform Architecture
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RRTX logo
Posted 15 OctDirect apply

Senior Platform Software Engineer (Onsite)

RTX · Aviation and Aerospace Component Manufacturing · 143k people

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El Segundo, California
On-site
Full-time
5-10 years exp
$96K – $182K

Design, develop, and maintain customized Linux OS ecosystems, including bootloaders, kernel, and device drivers for various hardware boards. Collaborate with FPGA and systems teams to integrate advanced technology into mission-critical aerospace and defense products.

Embedded C/C++Linux OSBashPython
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RRTX logo
Posted 15 OctDirect apply

Principal Platform Software Engineer (Onsite)

RTX · Aviation and Aerospace Component Manufacturing · 143k people

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El Segundo, California
On-site
Full-time
5-10 years exp
$118K – $225K

Design, develop, and maintain customized Linux OS ecosystems, including bootloaders, kernel, and device drivers for embedded hardware. Collaborate with cross-functional teams to integrate advanced technology into mission systems and perform complex hardware-software debugging.

Embedded C/C++Linux OSBashPython
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GGusto, Inc. logo
Posted 12 OctDirect apply

Staff Software Engineer, Retirement Financial Platform

Gusto, Inc. · Software Development · 4.8k people

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Los Angeles, California
Hybrid
Full-time
10+ years exp
$163K – $247K

You will design, build, and maintain backend services and APIs for money movement and financial integrations within the Gusto Retirement platform. This involves collaborating with cross-functional teams to ensure the reliability and correctness of critical financial workflows like payments, settlements, and tax integrations.

Software engineeringRuby on RailsBackend servicesAPIs
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WWEXWEXUS logo
Posted 11 OctDirect apply

Senior Backend Engineer – AI Platform

WEXWEXUS · Software Development · 5.4k people

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San Jose, California
Remote
Full-time
5-10 years exp
$122K – $146K

You will design, develop, and maintain scalable backend services and autonomous AI agents to support financial and operational workflows. Additionally, you will lead system design decisions, mentor junior engineers, and ensure the performance and reliability of production-grade AI platforms.

JavaC#SpringBootRESTful APIs
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SSpaceXAI logo
Posted 10 OctDirect apply

Infrastructure Security Engineer (Bare Metal & Platform)

SpaceXAI · Aviation and Aerospace Component Manufacturing · 20 people

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Austin, Texas
On-site
Full-time
2-5 years exp
$100K – $258K

The Infrastructure Security Engineer will design and implement secure bare-metal and private-cloud architectures while hardening physical and virtual fleets. They will also collaborate with engineering teams to integrate security into CI/CD pipelines and maintain robust detection and response operations.

Infrastructure securityBare-metal securityFirmware securityNetwork security

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SSS&C Technologies logo
Posted 9 OctDirect apply

Senior Data Platform Engineer

SS&C Technologies · Financial Services · 27k people

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Washington, Nevada
Remote
Full-time
10+ years exp

The Senior Data Platform Engineer will design, build, and operate core platform capabilities including ingestion frameworks, storage infrastructure, and streaming services. They will also develop APIs and agentic interfaces to enable AI agents and downstream teams to interact with platform data and capabilities.

Apache AirflowApache IcebergApache SparkApache Flink
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SSnap Inc. logo
Posted 9 OctDirect apply

Principal Machine Learning Engineer, Platform Integrity Engineering, Level 7

Snap Inc. · Software Development · 7.8k people

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Los Angeles, California
Hybrid
Full-time
10+ years exp
$235K – $414K

Design, implement, and scale machine learning models to protect users from harmful content and ensure regulatory compliance. Collaborate with cross-functional teams and leadership to set ML strategies and improve the organization's technical stack.

Machine learningDeep learningComputer visionNatural language processing

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