Job Url: https://talent.gloroots.com/form/apply/96dcbc2e-2fca-4f4e-84ed-22e5733e0e10/ Job Description: Lead Software Engineer Application Form Job Description Role: Lead Software Engineer Function: Engineering Location: Singapore Type: Full-time Industry: Cloud Infrastructure, AI, Enterprise Software About Company Company 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 Apply Now Share your details below to apply for this job. Name * Email * Phone Number * WhatsApp Number * Same as phone number Current City * Current CTC in LPA(lakhs per annum) * Enter a number between 0 and 1000 Expected CTC in LPA(lakhs per annum) * Enter a number between 0 and 1000 Notice period (in days) * Enter a number between 0 and 120 Are you currently on notice period? * Are you currently on notice period? Yes No Are you open to relocate to Singapore? * Are you open to relocate to Singapore? Yes No Maybe Upload Resume * Accepted formats: .doc, .docx, .pdf, .png, .jpeg, .jpg Maximum file size: 20MB Submit Application By submitting this application, you acknowledge and consent to the use of artificial intelligence (AI) technologies in the recruitment process, including but not limited to resume screening, candidate assessment, and interview facilitation. Your application data may be processed by AI systems to evaluate your qualifications. You have the right to request human review of any AI-assisted decisions.