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24 days ago
Requirements and responsibilities
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 2021Global company with 9 brands in 8 countries and employees worldwideHomeowners have turned to us for 300 million home projects and countingAbout 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.While this is a remote position, we are a global company and are looking for applicants located in the eastern time zone to align with our team's working hours.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 workloadsContribute to infrastructure architecture decisions aligned with large-scale, modern data platform standardsPartner closely with engineering, analytics, and product teams to support data platform adoption and migration initiativesDrive improvements in developer productivity through automation, tooling, and AI/agentic workflowsParticipate in on-call rotations and lead troubleshooting efforts for complex production issuesProduce clear, comprehensive documentation and operational runbooks to support platform usage and reliabilityWho You Are:5+ years of experience in infrastructure, platform engineering, or data engineering rolesExperience working on highly cohesive engineering teams that collaborate in real time to solve complex technical challengesStrong background in infrastructure architecture within large-scale or enterprise environmentsHands-on experience with cloud platforms (e.g., Amazon Web Services), container orchestration (e.g., Kubernetes), and distributed systemsExperience 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 workflowsDemonstrated ability to pivot quickly in response to changing priorities while maintaining high-quality deliveryStrong communication skills with the ability to clearly articulate technical concepts and tradeoffs to stakeholdersProven ability to collaborate cross-functionally and engage effectively with both technical and non-technical partnersTrack record of producing clear, high-quality documentation and enabling others through shared knowledgeMindset of an enabler—focused not only on building systems, but on empowering other teams to use them effectivelyCompensation & BenefitsThe base salary band for this position ranges from $115,000 - $205,000, commensurate with experience and performance. Compensation may vary based on factors such as geographic location.This position will be eligible for a competitive year end performance bonus & equity packageFull medical, dental, vision package to fit your needsFlexible vacation policy; work hard and take time when you need itPet discount plans & retirement plan with company match (401K)The rare opportunity to work with sharp, motivated teammates solving some of the most unique challenges and changing the worldWe Value DiversityWe know that the best ideas come from teams where diverse points of view uncover new solutions to hard problems. We welcome and value individuals who bring diverse life experiences, educational backgrounds, cultures, and work experiences.Our hiring process may utilize artificial intelligence (AI) tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.
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