Senior Software Engineer

Siemens; Cypress (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

Siemens leads the architecture and development of complex, scalable systems that blend cloud infrastructure, machine learning, and hardware interaction. You guide technical decisions across teams, establish engineering standards, and mentor engineers while shaping platform and product direction.

The role emphasizes ownership of high-availability systems, performance optimization, and architectural reviews within a cutting-edge tech stack.

Qualifications

• At least six years of professional software development experience.
• Production experience designing and scaling distributed systems.
• Proficiency in a backend programming language.
• Strong knowledge of architecture, observability, and deployment practices.
• Preferred: ML model serving or AI product integration.
• Preferred: ownership of high-availability systems.
• Preferred: performance optimization and mentoring/architectural reviews.

Responsibilities

• Lead architecture and development of scalable systems integrating cloud, ML, and hardware.
• Guide technical decisions across teams and establish engineering standards.
• Mentor engineers and lead architectural reviews.
• Shape platform and product direction.

Skills

Software Architecture

Distributed Systems

Python

Go

TypeScript

Machine Learning

AI Product Integration

Cloud Infrastructure

System Design

Observability

Performance Engineering

Technical Leadership

Cross-Functional Collaboration

Mentoring

Tools

Kubernetes

AWS

Job description

Lead the architecture and development of complex, scalable systems that combine cloud infrastructure, machine learning, and hardware interaction. Guide technical decisions across teams, establish engineering standards, and mentor engineers while shaping platform and product direction.

Requirements

Requires at least six years of professional software development experience, production experience designing and scaling distributed systems, proficiency in a backend language, and strong knowledge of architecture, observability, and deployment practices. Preferred qualifications include ML model serving or AI product integration, ownership of high-availability systems, performance optimization, and experience mentoring engineers or leading architectural reviews.

Key Skills

Software Architecture, Distributed Systems, Python, Go, TypeScript, Machine Learning, AI Product Integration, Cloud Infrastructure, Kubernetes, AWS, System Design, Observability, Performance Engineering, Technical Leadership, Cross-Functional Collaboration, Mentoring