CloudRaft is a trusted partner for startups and Fortune 500 companies, delivering end‑to‑end AI and cloud solutions that drive digital transformation. Their core services span AI Cloud, GPU Cloud, and cloud‑native engineering, including Kubernetes consulting, DevOps/DevSecOps, observability, and enterprise‑grade support for open‑source stacks such as PostgreSQL, ClickHouse, Thanos, and Prometheus. By combining cutting‑edge AI infrastructure with robust security and platform advisory, CloudRaft empowers businesses to scale resilient, data‑centric applications while maintaining compliance and operational excellence. The firm’s distinctive advantage lies in its deep expertise across both AI and open‑source ecosystems, enabling seamless integration of advanced analytics, generative AI, and modern cloud practices into existing enterprise environments.
Open Positions
Platform Engineer (Onsite - Bangalore)
5-6 years of experience in Platform Engineering, SRE, or DevOps with expertise in Kubernetes and hybrid architecture, strong background in security controls, and fluency in Golang or TypeScript
Head of Growth
5-8 years of marketing experience, ability to build and scale growth functions, and proficiency in SEO, content marketing, and social media
Platform Engineer
Bachelor's degree in Computer Science, IT, or related field, 5+ years of experience in SRE, Platform Engineering, or DevOps roles, expertise with GitOps and cloud environments
Cloud Native Database Engineer
0-5 years of hands-on experience in Kubernetes, PostgreSQL and open source. Strong expertise in relational databases, particularly Postgres and cloud native environment
Site Reliability Engineer
4-8 years of experience in SRE or Platform Engineering or DevOps roles. Bachelor’s degree in Computer Science, IT, or a related field
Observability Specialist
4-8 years of experience in SRE, particularly in implementing Observability at scale, Strong troubleshooting skills, Implementation experience with SRE concepts such as SLIs and SLOs
AI Engineer
1-2 years of software engineering experience, strong computer science fundamentals, clean testable code, and solid understanding of AI basics