Staff Backend Software Engineer

Job Title Staff Backend Software Engineer About Cognichip At Cognichip, we are building AI-native tools that transform how semiconductor engineers create, verify, and optimize chips. Our platform combines large proprietary models, agentic workflows, domain-specific engineering intelligence, and high-performance simulation infrastructure to accelerate one of the world’s most complex engineering disciplines. About The Role We are seeking a Staff Backend Software Engineer to spearhead the development of our platform applications and services. You will architect critical backend solutions, including usage modeling, licensing for our AI products, and scalable services powering our agentic workflows. Your work will directly impact Cognichip’s core product offerings for clients while building internal systems that empower our R&D, product, and sales teams. Key Responsibilities Architect and build robust, scalable backend microservices within a cloud-native Kubernetes environment, ensuring high availability and performance. Bridge the gap between backend services and UI requirements, delivering seamless full-stack capabilities where necessary. Engineer automated CI/CD workflows for efficient service deployment, container management, and image lifecycles. Implement advanced observability, metrics, and alerting strategies to ensure reliability across multi-cluster environments. Partner cross-functionally with IDE, Agentic, Evaluations teams to architect backend services that unlock new, high-impact product features. Build internal platforms and tooling that empower research, sales, and solutions teams to operate with high velocity. Champion engineering excellence by enforcing code quality standards, setting technical strategy, and maintaining architectural consistency across systems. Serve as a technical authority for key systems, driving domain expertise and seamless integration within our broader ecosystem. Required Qualifications 15+ years of software engineering experience, with at least 5+ years in technical leadership roles. For fewer years of experience, the role can be scoped to senior engineer with 5-10 years of relevant experience. Proven track record architecting and scaling cloud-native SaaS platforms in fast-paced, high-growth environments. Deep technical expertise in distributed systems, specifically microservices, databases, messaging queues, and caching strategies. Demonstrated success in cross-functional product development, effectively bridging the gap between technical requirements and business objectives. Exceptional communication and collaboration skills with a passion for mentoring and developing early-career engineers. Bonus experience in AI/ML infrastructure, developer productivity tools, or startup environments. What It's Like Here We’re a fast-moving AI startup with a collaborative, high-trust culture. We value technical excellence, ownership, and the freedom to experiment. Our best work happens when our builders and innovators work closely together to turn ambitious ideas into category defining products. We operate on a hybrid schedule with four days in office, one day remote. If you’re excited to build cutting edge tools that empower semiconductor engineers and reshape how chips are designed, you’ll feel right at home.

The Staff Backend Software Engineer will architect and build robust, scalable microservices within a cloud-native Kubernetes environment. They will also partner cross-functionally to deliver high-impact product features and build internal tooling to empower research and sales teams.

Candidates must have 15+ years of software engineering experience with at least 5 years in technical leadership roles. A proven track record in architecting and scaling cloud-native SaaS platforms and deep expertise in distributed systems are required.

• KubernetesPreferred
• CI/CDPreferred

Identified from the job description. Confirm important requirements above.

• Backend Engineering
• Microservices
• Kubernetes
• Cloud-native
• Distributed Systems
• CI/CD
• Observability
• System Architecture
• SaaS
• Databases
• Messaging Queues
• Caching Strategies
• Technical Leadership
• Mentoring
• AI/ML Infrastructure
• Software Engineering

• Software
• Engineering
• Technology
• Management & Leadership
• Data & Analytics

Minimum experience

10+ years

Apply by

Sep 11, 2026

Posting language

English

Working hours

40 hours per week

Office presence

4 days per week

Seniority

Mid-Senior level