Software Engineer

Siemens; Bellevue (WA); In loco; USD 120.000 - 180.000; Tempo pieno

Descrizione del lavoro

Siemens in Bellevue, WA is seeking a software engineer to design, build, and operate distributed services that integrate generative AI into real-world products. You will collaborate with ML, product, and infrastructure teams to deliver reliable, scalable systems and contribute to reviews and standards.

You will work across design to deployment, with opportunities to mentor teammates and improve performance and reliability of critical backend services.

Competenze

• At least three years of professional software development experience.
• Experience building and operating backend systems or distributed services.
• Proficiency in Python, Go, or Java.
• Strong foundations in data structures, algorithms, and system design.

Mansioni

• Design, build, and operate distributed services and systems.
• Collaborate with machine learning, product, and infrastructure teams.
• Contribute to technical reviews and standards; improve system reliability and performance.

Conoscenze

Software Development

Backend Systems

Distributed Services

Python

Go

Java

System Design

Data Structures

Algorithms

Machine Learning Pipelines

AI Infrastructure

Project Ownership

Mentoring

System Reliability

Strumenti

Kubernetes

Cloud-Native Systems

Descrizione del lavoro

Design, build, and operate performant distributed services and systems that integrate generative AI into real-world products, owning projects from design through deployment and monitoring. Collaborate with machine learning, product, and infrastructure teams, contribute to technical reviews and standards, and improve system reliability and performance.

Requirements

• Requires at least three years of professional software development experience, experience building and operating backend systems or distributed services, proficiency in a language such as Python, Go, or Java, and strong foundations in data structures, algorithms, and system design.
• Preferred qualifications include experience with machine learning pipelines or AI infrastructure, familiarity with cloud-native systems, independent delivery from design to production, and mentoring or technical leadership experience.

Key Skills

• Software Development
• Backend Systems
• Distributed Services
• Python
• Go
• Java
• System Design
• Data Structures
• Algorithms
• Machine Learning Pipelines
• AI Infrastructure
• Kubernetes
• Cloud-Native Systems
• Project Ownership
• Mentoring
• System Reliability