Senior Backend Engineer: Python, Kubernetes & Cloud

Lam Research Salzburg GmbH; Fremont (CA); Hybrid; USD 119,000 - 261,000; Full time

Job summary

Lam Research in Fremont, CA seeks a Software Application Engineer to drive innovation in 3D modeling software for semiconductor tech. You will build enterprise-grade backend services, design scalable microservices, and enhance data pipelines to support high-velocity product evolution.

You will partner with cross-functional teams, shape platform strategy, and contribute to CI/CD and automated tests in a hybrid on-site role. Strong Python and Kubernetes skills are essential.

Qualifications

• Master’s degree in Computer Science or related field with 10+ years of experience.
• Experience in distributed systems and backend services with product development.
• Strong cloud experience and Kubernetes expertise.

Responsibilities

• Partner with product management and engineering leadership to define long-term platform strategy.
• Design and build scalable, fault tolerant microservices using Python and modern cloud patterns.
• Architect systems using Kubernetes, container orchestration, and infrastructure-as-code.
• Implement event-driven and asynchronous processing pipelines using messaging, pub/sub, and streaming technologies.
• Build and optimize service APIs, simulation orchestration layers, workflow engines, and data pipelines.
• Design data models and storage strategies using RDBMS and NoSQL systems
• Contribute to CI/CD, automated testing frameworks, and operational tooling.

Skills

Backend software engineering

Distributed systems

Python

Kubernetes

Cloud platforms

PostgreSQL

MySQL

Redis

MongoDB

APIs & system design

Mentorship

Education

Master’s degree in Computer Science

Tools

Kubernetes

Cloud platforms

Job description

Lam Research in Fremont, CA seeks a Software Application Engineer to drive innovation in 3D modeling software for semiconductor tech. You will build enterprise-grade backend services, design scalable microservices, and enhance data pipelines to support high-velocity product evolution.

You will partner with cross-functional teams, shape platform strategy, and contribute to CI/CD and automated tests in a hybrid on-site role. Strong Python and Kubernetes skills are essential.