Role: Lead Software Engineer

Function: Engineering

Location: Singapore

Type: Full-time

Industry: Cloud Infrastructure, AI, Enterprise Software

About Company

Kluisz.ai is a deeptech startup building an AI-native private cloud platform that automates orchestration, security, and compliance for enterprise hybrid cloud environments. Backed by $9.6 million in seed funding led by RTP Global, we're transforming how enterprises manage their cloud infrastructure with cutting-edge AI automation.

Join our fast-paced, high-impact team of 30 seasoned tech veterans in Bangalore, where you'll have high ownership of your projects and work on innovative zero-to-one infrastructure products. We're tackling globally relevant engineering challenges while building the future of cloud infrastructure in this exciting AI era.

Position Overview

You'll build a managed Kubernetes platform from the ground up that powers AI-native cloud infrastructure for enterprise customers. You'll lead development of core systems handling tenant cluster lifecycle, worker node provisioning, networking, and storage while mentoring a growing engineering team. You'll have high ownership in architecting production-grade systems that automate complex cloud operations for globally distributed environments.

Role & Responsibilities

• Lead development of production-grade Go services for cloud-native platform architecture
• Design and implement platform APIs, controllers, and automation systems
• Architect infrastructure lifecycle management including provisioning, monitoring, and scaling
• Build networking solutions and distributed system access patterns
• Implement storage solutions and data persistence layers for cloud infrastructure
• Drive reliability improvements and self-healing capabilities across distributed systems
• Mentor junior engineers and establish engineering best practices for the team

Must Have Criteria

• 5-12 years of software engineering experience with systems programming
• Strong programming skills in systems languages (Go, Java, Python, or Rust)
• Experience with container orchestration platforms (Kubernetes, Docker) and microservices architecture
• Experience managing large-scale distributed systems with 100+ nodes and 1000+ containers
• Proven track record of building production systems handling high-throughput workloads
• Experience with any major cloud platform (AWS, GCP, or Azure)
• Experience leading technical projects and mentoring engineering teams

Nice to Have

• Experience writing Kubernetes controllers and operators from scratch
• Deep knowledge of container networking and service mesh technologies
• Experience with GPU orchestration and compute workloads in containerized environments
• Cloud certifications and Infrastructure as Code tools (Terraform, Ansible)
• Background in building native cloud infrastructure or platform engineering

What We Offer

• Opportunity to build cutting-edge AI-native cloud infrastructure from ground up
• High ownership and impact in a well-funded deeptech startup
• Work with seasoned tech veterans on globally relevant engineering challenges
• Fast-paced environment with minimal bureaucracy and clear growth opportunities
• Competitive compensation and equity package