Angi
Technology
SeniorEngineer,DataInfrastructure
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Engineer, Data Infrastructure at Angi. Skills: Data Infrastructure, Lakehouse Architecture, Kubernetes, Infrastructure as Code, Cloud Platforms. Design, build, and operate critical data infrastructure platforms (lakehouse, replication, orchestration, and distributed compute). Ensure high availability, scalability, and performance of platform services. Contribute to infrastructure architecture decisions. Partner closely with engineering, analytics, and product teams. Drive improvements in ”
Industry & Context.
distributed systems; troubleshooting
What They're Looking For.
Must Have
5+ years of experience in infrastructure, platform engineering, or data engineering roles. 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. Proficiency with Infrastructure as Code (IaC) principles and tools (e.g., Terraform, crossplane, or Pulumi). Proven experience self-hosting and managing core infrastructure and open-source tools. Demonstrated experience using AI/agentic engineering tools such as Claude Code, Cursor, GitHub Copilot, or similar tools. Demonstrated ability to pivot quickly in response to changing priorities while maintaining high-quality delivery.
What You'll Do.
Design, build, and operate critical data infrastructure platforms (lakehouse, replication, orchestration, and distributed compute).
Ensure high availability, scalability, and performance of platform services.
Contribute to infrastructure architecture decisions.
Partner closely with engineering, analytics, and product teams.
Drive improvements in developer productivity through automation, tooling, and AI/agentic workflows.
Participate in on-call rotations and lead troubleshooting efforts.
Produce clear, comprehensive documentation and operational runbooks.
How You'll Work.
Team & Collaboration
Experience working on highly cohesive engineering teams that collaborate in real time to solve complex technical challenges. Proven ability to collaborate cross-functionally and engage effectively with both technical and non-technical partners.
Communication Scope
articulate technical concepts; engage effectively
Full Job Description
For over 30 years, Angi has powered the future of the home services industry, creating an environment where homeowners and pros benefit from more jobs done well. For homeowners, our platform is a reliable way to find skilled pros. For pros, we're a reliable business partner who helps them find the winnable work they want, when they want. For employees, we're an amazing place to call home. We can't wait to welcome you. Angi at a glance: - Founded in 1995 as Angie’s List and rebranded in 2021 - Global company with 9 brands in 8 countries and employees worldwide - Homeowners have turned to us for 300 million home projects and counting About the team: Angi is seeking a Senior Engineer I to join our Data Infrastructure team, responsible for building and operating the foundational platforms that power data processing, storage, and analytics across the organization. This role will focus on evolving our lakehouse architecture, data replication systems, and orchestration frameworks while enabling scalable, reliable, and efficient data workflows. What You'll Do: - Design, build, and operate critical data infrastructure platforms (lakehouse, replication, orchestration, and distributed compute) - Ensure high availability, scalability, and performance of platform services supporting enterprise data workloads - Contribute to infrastructure architecture decisions aligned with large-scale, modern data platform standards - Partner closely with engineering, analytics, and product teams to support data platform adoption and migration initiatives - Drive improvements in developer productivity through automation, tooling, and AI/agentic workflows - Participate in on-call rotations and lead troubleshooting efforts for complex production issues - Produce clear, comprehensive documentation and operational runbooks to support platform usage and reliability Who You Are: - 5+ years of experience in infrastructure, platform engineering, or data engineering roles - Experience working on highly
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