• Supporting the Salesforce Platform Engineering team with day-to-day development and administration work • Delivering enhancements, bug fixes, and configuration aligned to team standards • Handle incoming Salesforce support requests: investigate issues, reproduce bugs, perform root-cause analysis, and implement fixes or escalations as needed. • Partner with senior engineers and admins to triage and resolve incidents impacting Sales, Marketing, Customer Success, and other GTM teams. • Monitor platform health (e.g., error logs, integration failures, performance concerns) and surface risks or recurring issues to the team. • Implement declarative configuration in Salesforce: objects, fields, page layouts, record types, Flows, validation rules, assignment rules, and approval processes. • Develop and maintain custom solutions using Apex, Lightning Web Components (LWC), and APIs, following coding standards and patterns set by the Salesforce Platform Engineering team. • Support feature delivery across Sales Cloud and related clouds (e.g., Service Cloud, Experience Cloud, CPQ) under the direction of senior engineers. • Support integration troubleshooting between Salesforce and other enterprise systems (e.g., ERP, product, customer success platforms) by reviewing logs, payloads, and error messages, escalating complex issues as needed. • Contribute to data quality initiatives, including deduplication, data updates, and enforcing validation and governance standards. • Collaborate with business stakeholders, admins, engineers, and analysts to understand requirements and clarify acceptance criteria. • Maintain documentation for configuration, customizations, integrations, and runbooks to support operational excellence. • Other duties as assigned.

• Architect the Engine: Design and build a production-grade Agent Runtime that handles tool registration, permissions, timeouts, and retry semantics for autonomous agents. • Define the Standard: Evolve our internal GenAI Client and SDKs to create a "paved road" for product engineers, standardizing how every team at Light interacts with LLMs. • Solve for Trust: Build the "CI/CD for AI", implementing reliability frameworks, golden datasets, and regression testing pipelines that allow us to deploy prompts and agents with confidence. • Expand the Ecosystem: Lead the integration of Light with external platforms via the Model Context Protocol (MCP) and automation tools like n8n. • Governance & Scale: Design the guardrails, rate limits, and caching strategies that ensure our AI infrastructure scales predictably and cost-effectively.

• Administer & Support Security Products – Own day-to-day operation of CrowdStrike, SentinelOne, Proofpoint, Qualys, Microsoft, and our Cyber-Awareness Training suite. • Deploy & Configure – Support Migrations, build repositories, and fine-tune policies and tasks across platforms. • Troubleshoot & Escalate – Act as the SME for complex security incidents, providing Tier-3 support to our operations team. • Identity Protection – Monitor Azure AD / Microsoft Entra ID and Okta, enforce least-privilege access, and remediate identity-based threats. • Automate & Optimize – Script (PowerShell/Python) to speed deployment, reporting, and continuous configuration compliance. • Document & Improve – Maintain clear exception/run-book documentation and drive process improvements that elevate customer satisfaction.

• Own the CloudLAB platform vision, reference architecture, standards, and lifecycle (build, maintain, retire). • Define and manage the CloudLAB roadmap and backlog, aligning priorities across Sales/SE, Enablement, Product, Engineering, Support, ProServ, Marketing, and Channel stakeholders. • Run a predictable operating rhythm with weekly build/strategy sessions and a monthly release cycle (scope, build, validate, publish, communicate). • Investigate and integrate open-source tools and supporting services that improve demo realism, speed, and reliability. • Package Netwrix solutions into repeatable CloudLAB blueprints, curated demo paths, and POV workflows that are easy for the field to execute.