• Serves as a Security Orchestration and Automated Response (SOAR) developer responsible for design, development and implementation of automations that accelerate functions within Mondelez’s security team. • Collaborate with Security Information and Event Management (SIEM) content developers as needed to support automation integrations and workflows for security personnel. • Work with security analysts, threat intelligence, and incident response teams to automate response processes. • Develop automation playbooks using either out-of-the-box (or custom) integrations and functions as outlined in the automation process design. • Help advance security operations technologies and processes through automation and integration of threat detection and protection solutions.

• Jump start nascent automated testing efforts around Inpatient hardware functionality, including developing comprehensive automated testing strategy, selecting automation tools and platforms, and extending existing testing procedures to include the development of automated tests • Define, implement and monitor Hardware QA practices within the Inpatient team to ensure consistency and quality in each release • Build a comprehensive testing framework to account for LG Firmware releases before promoting to production • Create an HQ based stress lab for both PLC and SmartTVs, and write automated test cases that push these devices to their limits, ensuring we are catching issues before they ever appear to clients • Act as front line support for any hardware issues that are reported from client sites • Assist Inpatient QA team with software testing on an as needed basis • Provide Mobile Testing framework and automation tools • Stay BACNET interface TV feed hardware within HQ • New LG TV certification (every ~12 months) • Possibly Samsung TV support • Facilitate IIC leveraging the wall of TVs • Port 2345, PTZ cameras • Work with Tier 3 on production issues • Ownership of hardware in the demo room • Ownership of the traveling sales demo kits

• Shadow teams across marketing, sales, product, finance, and ops to understand workflows end-to-end • Run automation and AI audits to identify repetitive, high-friction processes • Translate vague problems (“this takes too long”) into clear automation opportunities • Design and build no-code / low-code workflows using tools like n8n, Gumloop, Zapier, Make, Airtable, Notion, Langflow, Relevance AI, and similar platforms • Integrate internal and external systems via APIs, webhooks, JSON, and light scripting • Leverage Northbeam data and APIs to power intelligent workflows and agents • Move successful experiments into production-ready systems • Monitor performance, reliability, and edge cases • Document workflows clearly so others can understand, extend, and maintain them • Build AI-driven workflows for lead generation and enrichment, campaign and creative research, competitive intelligence, sales and marketing enablement • Partner with Growth, Marketing, and Sales to unlock new leverage with automation • Push boundaries and explore new AI agent patterns • Build scrappy internal tools that give Northbeam an unfair advantage • Stay on top of emerging AI, automation, and agent frameworks and apply them pragmatically

• Design, build, and own large-scale test automation frameworks for network devices using both open source and custom test frameworks, covering both physical and container-based topologies. • Architect and implement CI/CD pipelines that automatically deploy container topologies, execute test plans, and publish test reports and logs. • Develop and maintain configuration workflows and schemas, integrating with the NOS agnostic configuration services to generate, validate, and apply complex configurations across multi-DUT environments. • Automate end-to-end network feature and platform testing (L2/L3, BGP/EVPN, QoS, ACLs, platform health). • Integrate and automate traffic generators (IXIA / IXIA‑c, Spirent, Snappi/OTG) to validate forwarding behavior, convergence, and performance as part of regression and release test suites. • Establish and enforce automation best practices for test structure, logging, cleanup, reusability, and reliability across multiple engineering teams. • Collaborate closely with Software and Hardware Engineering teams to design test strategies for new features, platform bring-up, and regression suites; provide early feedback on design from an automation and testability perspective. • Use well defined metrics to track test execution, quality trends, and contribution impact; define and report automation metrics such as test coverage, CI/CD pipeline efficiency, and automation adoption rates. • Mentor and guide other engineers in Python development, network test automation, and modern DevOps practices, helping to grow a strong automation culture across Nexthop AI.