Staff Backend Software Engineer

Cognichip; Redwood City (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Cognichip in California is seeking an Architect to lead the design and implementation of scalable backend microservices powering AI-native tools for semiconductor engineering.

You will collaborate across product, data science, and platform teams to drive technical strategy, enforce coding standards, and maintain system reliability and performance.

Qualifications

• Requires 15+ years of software engineering experience with at least 5 years in technical leadership.
• Proven track record of scaling cloud-native SaaS platforms.
• Deep expertise in distributed systems.

Responsibilities

• Architect and build scalable backend microservices and cloud-native infrastructure.
• Collaborate cross-functionally to deliver high-impact product features.
• Ensure engineering excellence through technical strategy and code quality standards.

Skills

Backend architecture

Microservices

Kubernetes

Cloud-native SaaS

Distributed systems

CI/CD

Observability

Full-stack development

Technical leadership

API design

Database management

Messaging queues

Caching strategies

AI/ML infrastructure

Software engineering

System integration

Job description

Architect and build scalable backend microservices and cloud-native infrastructure to power AI-native tools for semiconductor engineering. Collaborate cross-functionally to deliver high-impact product features and maintain engineering excellence through technical strategy and code quality standards.

Requirements

Requires 15+ years of software engineering experience with at least 5 years in technical leadership, or 5-10 years for a senior-level scope. Must have a proven track record of scaling cloud-native SaaS platforms and deep expertise in distributed systems.

Key Skills

Backend Architecture, Microservices, Kubernetes, Cloud-Native SaaS, Distributed Systems, CI/CD, Observability, Full-stack Development, Technical Leadership, API Design, Database Management, Messaging Queues, Caching Strategies, AI/ML Infrastructure, Software Engineering, System Integration