VP of Infrastructure | AI-Driven Technology Company

• Own the end-to-end infrastructure strategy, ensuring scalability, performance, and resilience across all systems.
• Lead the design of cloud-native architectures across AWS / GCP / Azure, supporting high-scale distributed workloads.
• Drive the evolution of CI/CD, release engineering, and deployment systems, enabling fast and safe product delivery.
• Define and enforce reliability standards including SLOs, incident response, and post-incident learning processes.
• Oversee platform observability, ensuring full visibility across systems through metrics, logging, and tracing.
• Lead critical decisions around networking, IAM, security architecture, and disaster recovery design (RTO/RPO).

• Strong experience in platform engineering, DevOps, SRE, or infrastructure leadership roles (5+ years preferred).
• Proven track record in cloud infrastructure (AWS / GCP / Azure) at scale.
• Hands-on expertise with Kubernetes, Docker, and Infrastructure as Code (Terraform or equivalent).
• Deep understanding of distributed systems, databases, and production-grade system design.
• Strong background in reliability engineering, including observability, incident management, and operational excellence.
• Experience leading teams and influencing technical direction at organizational level.

Technical Skills

• Strong scripting ability in Python and Bash (Go is a plus).
• Solid understanding of networking fundamentals (VPCs, routing, load balancing, TLS, peering).
• Experience designing IAM models, access control, and least-privilege architectures.
• Expertise in secrets management, encryption, and secure credential handling.
• Strong knowledge of CI/CD systems and deployment automation strategies.
• Experience managing production databases (OLTP focus, plus OLAP/document systems).
• Understanding of disaster recovery, backup strategies, and multi-region architectures.

• Full ownership of mission-critical infrastructure systems in a high-growth AI company.
• Opportunity to shape architecture, reliability, and engineering culture from the ground up.
• Exposure to cutting-edge AI systems and modern cloud-native technologies.
• High autonomy in technical decisions with direct influence on company roadmap.
• Competitive compensation with salary + equity/stock options.
• Strong engineering culture with a fast-moving, product-driven environment.