• Assist in the setup, configuration, maintenance, and troubleshooting of server, storage, and GPU-based infrastructure environments. • Support cloud infrastructure and services across platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP). • Develop and maintain automation scripts and tools using languages such as Python, Shell scripting, Java, or JavaScript. • Monitor system performance, availability, and operational health to ensure reliability and efficiency. • Collaborate with internal teams to support infrastructure modernization and operational improvements. • Participate in troubleshooting hardware, software, networking, and cloud-related issues. • Assist with infrastructure documentation, reporting, and process improvement initiatives. • Utilize data visualization and reporting tools such as Excel, Power BI, or Tableau to analyze operational metrics and support decision-making. • Explore and support the integration of Generative AI tools and concepts into infrastructure management and operational workflows. • Contribute to a collaborative team environment while demonstrating initiative, adaptability, and problem-solving capabilities. • Support incident response procedures and escalation protocols to minimize system downtime and operational disruptions. • Assist with security and compliance monitoring activities to ensure infrastructure environments meet organizational and regulatory standards. • Participate in capacity planning and resource optimization initiatives to support scalable infrastructure growth. • Contribute to the development and maintenance of technical knowledge bases and runbooks to support team efficiency and knowledge sharing. • Support backup, disaster recovery, and business continuity procedures to protect critical infrastructure and data assets. • Assist with network configuration, monitoring, and optimization activities to ensure reliable connectivity and performance across enterprise systems.

• Architect, implement, and maintain AI agent orchestration platforms, spanning multi-agent delegation, session management, and streaming interfaces. • Design and build Model Context Protocol (MCP) servers that expose domain-specific capabilities as composable tools. • Implement rigorous security and isolation boundaries, including sandboxed code execution, scoped permissions, Human-in-the-Loop (HITL) workflows, and tenant-aware data access. • Deploy and operate containerized services on AWS using Terraform, optimizing for cost, reliability, and observability based on data. • Think team by partnering directly with ML engineers, data engineers, and product teams to integrate specialist agents without needing translation layers. • Own and advance technical solutions from concept to deployment, pressure-testing assumptions and closing gaps without waiting for a finished playbook. • Use data to root-cause and resolve complex issues across agent orchestration, infrastructure, and LLM providers in a distributed environment. • Write precise, tested Python code, treating quality and reliability as foundational standards rather than an afterthought.

• Analyze and define how the system works creating use cases • Decompose requirements, define system interfaces and help determine how requirements will be validated and verified by the test team • Support planning and execution of Integration, Verification, or Flight Test activities in our labs, in the field, or at a test range • Support qualification of our products • Support troubleshooting and failure data analyses, including root cause and corrective action processes and advanced use of lab or field test equipment • Complete and compile detailed performance evaluations, including the use of analysis tools, such as MATLAB • Prepare and present results in reports and briefings to internal or external stakeholders • Support and attend technical reviews and technical interchanges in support of the program • Be a self-starter and work well with minimum supervision

• Own the architecture and evolution of our revenue systems stack, including Salesforce Sales Cloud, a modern CPQ solution, and billing integrations • Lead complex configuration and development across Apex, Lightning Web Components, and custom integrations • Oversee data governance, migration strategy, and system integrity across the full GTM stack • Build and deploy AI agents for account research, CRM hygiene, post-call follow-ups, and signal-based outbound workflows • Automate repetitive work across the GTM org and replace it with intelligent, auditable processes • Partner with Sales, Finance, Marketing, Engineering, and Security to translate strategy into technical specifications • Represent systems decisions directly with Finance and cross-functional leadership on data integrity and sign-off • Challenge existing processes. If something exists because it was the only option three years ago, ask whether it should still exist today • Own documentation so the organization can move without you in every room