Kiwi

• Design, maintain, and optimize CI/CD pipelines (GitHub Actions, Jenkins, or similar). • Manage and optimize AWS infrastructure using ECS, Lambda, VPC, RDS, S3, and CloudWatch. • Implement Infrastructure as Code practices using Terraform or CloudFormation. • Build and maintain containerized environments using Docker and orchestration platforms such as ECS or Kubernetes. • Monitor infrastructure health, application performance, reliability, and cost efficiency across production environments. • Improve database reliability and performance for PostgreSQL and MySQL environments. • Implement and maintain observability solutions, logging, monitoring, and alerting systems. • Collaborate with engineering teams to improve deployment workflows, scalability, and operational excellence. • Enhance platform security and performance using Cloudflare (CDN, WAF, DNS, DDoS protection). • Support and optimize deployments on Vercel and modern frontend hosting platforms. • Participate in incident response, troubleshooting, root cause analysis, and reliability improvements. • Leverage AI-assisted tools and automation to improve infrastructure operations, monitoring, and developer productivity. • Document processes, standards, and infrastructure decisions while continuously proposing improvements.

• Build end-to-end features powered by LLMs and agents (backend + frontend) • Integrate AI into real user-facing flows (voice, chat, product interfaces) • Design and implement APIs and services that connect AI systems with the product • Work on performance across the stack: frontend responsiveness, backend latency, AI cost/throughput • Ship quickly, iterate in production, and continuously improve real user experiences

• Lead the evolution of LLM and agent-based architectures • Design systems for high concurrency (voice, chat, event-driven) • Improve orchestration, observability, and control layers • Solve real production challenges: latency, stability, cost • Drive an AI-native engineering culture