Description

Own the stability, scalability, and performance of the AI inference platform by designing and implementing backend systems.

This role is on-site.

Responsibilities

• Develop core platform components using Python, Go, and Rust to solve AI inference challenges.
• Build and improve testing frameworks, including unit, integration, and end-to-end tests.
• Design scalable, reliable distributed systems and cloud-native services.
• Drive engineering excellence and software quality standards across the platform.
• Collaborate with ML, Product, QA, and DevOps teams to deliver robust solutions.

Required Skills

• 8-12 years of software engineering experience building backend systems.
• Strong proficiency in Python, Go, or Rust.
• Solid understanding of Kubernetes and Helm Charts.
• Experience with unit testing, integration testing, and end-to-end testing frameworks.
• Deep understanding of distributed systems and scalable service architecture.
• Excellent problem-solving skills and attention to detail.

Preferred Skills

• Experience with Kubernetes ecosystem, including Kubernetes Operators.
• Familiarity with AI inference serving, orchestration, and ML application optimization.

Key Skills

Education

Any Graduate