• Own the end-to-end delivery of data across Market Research, Market Surveys, and Daylight Revenue, aligning technical priorities with product goals. • Design and evolve our ingestion pipelines, processing data for 10M+ multifamily units through XML/JSON feeds, web scraping, warehouse transformations, and API exposure. • Define what accuracy, completeness, and timeliness mean for our datasets, ensuring all requirements meet the specific needs of each product line. • Work closely with Product and Application Engineering to ensure new datasets unlock measurable features and actionable customer insights. • Build strong observability into our systems, including daily monitoring, anomaly detection, and automated alerts to maintain ingest health. • Lead the delivery of data milestones by defining goals, tracking progress in Linear, and communicating outcomes to stakeholders. • Stay current with data and AI tooling to help the team work more efficiently and integrate new technologies where they add value. • Foster a culture of continuous improvement by maintaining clear documentation and mentoring others on data best practices.

• Design and implement backend systems that abstract infrastructure concerns and enable self-service capabilities, focused on integration inside of Kubernetes • Develop and support internal tools, APIs, and automation frameworks used by infrastructure and application teams • Implement enhancements to CI/CD pipelines using GitLab, focusing on security, repeatability, and observability • Write clean, testable, and well-documented code that serves as an example for the team • Contribute to backend architectures and patterns that scale across infrastructure domains • Create design documents, system diagrams, and proof-of-concepts for your projects • Leverage Kubernetes and infrastructure-as-code tools to deliver reusable software components and automation services • Collaborate with Principal Engineers on architectural decisions and implementation approaches • Partner with team leads to deliver on platform modernization initiatives • Share knowledge and best practices with team members • Provide technical guidance to junior engineers and participate in code reviews

• Develop high-quality technical interview questions to update Karat’s technical content library • Produce Karat’s most complex interview coding questions, including the creation of extensive codebases and objective design exercises. • Partner with internal teammates in the development of new content formats that enable candidates to leverage generative AI during their interviews. • Utilize a variety of known and forthcoming AI tools to continuously iterate on Karat content.

• Design and implement backend systems that abstract infrastructure concerns and enable self-service capabilities, focused on integration inside of Kubernetes • Develop and support internal tools, APIs, and automation frameworks used by infrastructure and application teams • Implement enhancements to CI/CD pipelines using GitLab, focusing on security, repeatability, and observability • Write clean, testable, and well-documented code that serves as an example for the team • Contribute to backend architectures and patterns that scale across infrastructure domains • Create design documents, system diagrams, and proof-of-concepts for your projects • Leverage Kubernetes and infrastructure-as-code tools to deliver reusable software components and automation services • Collaborate with Principal Engineers on architectural decisions and implementation approaches • Partner with team leads to deliver on platform modernization initiatives • Share knowledge and best practices with team members • Provide technical guidance to junior engineers and participate in code reviews • Build backend systems primarily in Go, Rust, or Python, focusing on maintainable, testable, and observable code • Develop CLI tools, APIs, and services that improve the developer experience • Use Terraform to integrate with existing infrastructure components • Apply software engineering best practices to infrastructure automation, including testing and observability • Work in an Agile environment (SAFe) with scoped work in Jira, delivering on sprint commitments • Implement security controls and compliance requirements through automation • Support critical issues as part of the team rotation, with focus on building systems that minimize operational burden • Ability to troubleshoot real time and historical issues, with an eye towards long term solutions