angi - Senior Engineer, Data Infrastructure

• 5+ years of experience in infrastructure, platform engineering, or data engineering roles • Experience working on highly cohesive engineering teams that collaborate in real time to solve complex technical challenges • Strong background in infrastructure architecture within large-scale or enterprise environments • Hands-on experience with cloud platforms (e.g., Amazon Web Services), container orchestration (e.g., Kubernetes), and distributed systems • Extensive experience with end-to-end Kubernetes management, including cluster provisioning, lifecycle management, and observability • Strong proficiency with Infrastructure as Code (IaC) principles and tools (e.g., Terraform, crossplane, or Pulumi) to automate and manage cloud environments • Proven experience self-hosting and managing core infrastructure and open-source tools as an alternative to using commercial managed services • Experience with data platforms, including lakehouse architectures, data replication, and orchestration frameworks (e.g., Airflow, Kafka, Trino, Iceberg) • Demonstrated experience using AI/agentic engineering tools such as Claude Code, Cursor, GitHub Copilot, or similar tools to improve development efficiency and workflows • Demonstrated ability to pivot quickly in response to changing priorities while maintaining high-quality delivery • Strong communication skills with the ability to clearly articulate technical concepts and tradeoffs to stakeholders • Proven ability to collaborate cross-functionally and engage effectively with both technical and non-technical partners • Track record of producing clear, high-quality documentation and enabling others through shared knowledge • Mindset of an enabler—focused not only on building systems, but on empowering other teams to use them effectively