• Work on real-world client projects and internal tools • Contribute meaningfully to development lifecycle • Collaborate with experienced engineers • Utilize modern tech stack including Node.js/Python, React/Next.js, AWS/GCP/Azure

• Build and operate data services driving our applications and APIs • Collaborate with team members and across Engineering to iteratively prototype and develop new functionality • Provide technical leadership, contributing to the architecture and design of the team’s systems • Coach others to become better engineers • Partner with product managers and other Zusers

• Build relationships with key partner and Kentik SEs within their geography and assigned focus partner base • Focus on enablement & relationships of focus partner pre & post sales engineers • Feedback and influence on technical enablement strategy/plan for channel partners • Own, monitor, report on, and drive technical enablement activities for assigned partner base in assigned geography • Teach in-area SEs and Value Added Distributor(s) how to manage and deliver technical enablement plans for their partner base • Be a Kentik technical expert: know network intelligence, competition and channel business dynamics • Lead lab, demo, best practices session & workshops • Coordinate partner training activities with wide range of Kentik field & corporate resources • Frequently act as the host for a range of in-area and corporate enablement events • Master and communicate internal operations of partner enablement, and doing business with Kentik from a pre & post sales SE perspective • Collaborate with Kentik Product and Marketing teams to communicate partner recommendations and requirements • Collaborates with Kentik SEDs, SEs, CAMs, CELs, trainers & partner SE leaders

• Design, build, and operate scalable, highly available ETL/ELT pipelines that move data from OLTP systems into the data lake, optimized for reliability, performance, and cost efficiency • Design and evolve data lake foundations, including storage layout, partitioning strategies, schema management, lineage tracking, data cataloging, data versioning, and delta synchronization to ensure data is reliable and analytics- and AI-ready • Build and operate vector databases, embedding pipelines, and RAG data workflows, including scalable ingestion and processing of unstructured content from internal and external sources • Enable scalable real-time and event-driven data flows that power AI agent decision-making, orchestration, and system integrations • Stay current with emerging cloud, data, and AI technologies by leading proof-of-concepts and translating findings into strategic guidance that informs platform roadmaps and long-term architectural decisions • Take end-to-end ownership of features and solutions across the full software development lifecycle, from design and implementation through testing, deployment, monitoring, and ongoing maintenance • Provide technical mentorship to junior engineers through code reviews, pair programming, and collaborative solution design • Maintain clear, current technical and architectural documentation while enforcing development best practices to ensure codebase quality, reliability, and maintainability • Drive operational excellence by identifying recurring issues, eliminating root causes, improving system reliability for customers and internal teams, and participating in a 24/7 production support rotation with thorough post-mortems and root cause analysis for major customer-impacting incidents • Partner with DevOps and DevSuccess to enhance build processes, test automation, CI/CD pipelines, and overall platform operability • Actively participate in prioritizing and reducing technical debt within the systems owned by the team