4 full stack developer ii jobs at 3 companies in Fontana, CA

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Sr Software Engineer II - Fullstack - Apex Events- AXS
Los Angeles, California, United States
$145k-$165k/yr HybridFull Time
AEG Worldwide
AEG Worldwide: Operates live entertainment venues and professional sports franchises worldwide.
6+ YOE6+ years software development, strong full‑stack web experience with TypeScript/React or NextJS, C#/.NET Core, relational databases, RESTful APIs, and mentoring experience.
HTML, CSS, JavaScript, TypeScript, ReactJS, NextJS, C#, .NET Core, Microsoft SQL Server, Oracle, MySQL, PostgreSQL, AWS, NodeJS, Docker, Kubernetes, Git, CI/CD, Kafka, Elasticsearch, DynamoDB, TDD, BDD
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Platform Engineer II
Aliso Viejo, California, United States
$173k-$225k/yr HybridFull Time
Sony Interactive Entertainment
Sony Interactive EntertainmentNYSE: SONY: Provides PlayStation gaming hardware, software, and digital network services.
2+ YOEMaster’s degree or equivalent and 2 years experience developing and securing infrastructure services using Docker, Typescript, Golang; monitoring with Prometheus/Grafana and Elastic Stack; Kubernetes and eBPF experience.
Docker, Typescript, Golang, Prometheus, Grafana, Elastic Stack, eBPF, Cilium, GDB, Wireshark, Kubernetes, Linux
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Platform Engineer II
Aliso Viejo, California, United States
$190k-$266k/yr HybridFull Time
Sony Interactive Entertainment
Sony Interactive EntertainmentTokyo Stock Exchange: 6758: Develops and publishes PlayStation gaming hardware, software, and services.
2+ YOEMaster's degree or equivalent and 2 years of experience developing and securing infrastructure services with Docker, TypeScript, Golang, Kubernetes, Prometheus, Grafana, Elastic Stack, eBPF, Cilium, GDB, Linux, and Wireshark.
Kubernetes, Docker, TypeScript, Golang, Prometheus, Grafana, Elastic Stack, eBPF, Cilium, GDB, Linux, Wireshark, Iptables
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Machine Learning Engineer II
Seattle or Los Angeles or Irvine
$159k-$255k/yr HybridFull Time
Esri
Esri: Global leader in geographic information system (GIS) software.
3+ YOE3+ years Python and SQL experience, ML for time series/quantitative modeling, full-stack ML (ETL→training→deployment), strong CS fundamentals, backtesting/quant finance or high-performance computing, AWS experience preferred.
Python, SQL, AWS, S3, ECS, EKS, Lambda