• Collaborate with stakeholders and product managers to analyze, understand, and enhance employee productivity and end-user effectiveness • Gather, analyze, and document functional and technical requirements for new projects, enhancements to existing solutions, and production issues • Create business process models using best practice techniques • Create and maintain detailed documentation, including business requirements documents, functional specs, user manuals, and JIRA stories • Define and implement system enhancements that align with business goals • Work with technical teams to design solutions that meet business needs • Develop test cases and conduct unit and integration testing • Develop, deliver, and present end-user training materials to Salesforce users • Research production system issues and resolve user problems • Help manage the backlog of production issues and enhancement requests • Perform application configuration activities primarily in Salesforce and other supporting Force.com applications • Act as a liaison between business stakeholders and IT

• Develop and optimize low-level kernels and runtime components for AI inference • Improve performance of inference engines GPU platforms • Profile and debug system-level and hardware-level performance issues • Integrate support for new hardware architectures (Hopper, Blackwell, Rubin) • Collaborate with ML and backend teams to optimize end-to-end execution

• Develop, design, and implement enterprise-level systems, networks, and infrastructure solutions. • Evaluate system requirements and translate them into technical solutions. • Ensure scalability, security, and performance of system designs. • Install, configure, and integrate operating systems, applications, and system tools. • Coordinate system upgrades, migrations, and deployments with minimal downtime. • Automate processes and workflows to improve efficiency and reduce risk. • Monitor system performance, availability, and capacity. • Troubleshoot and resolve complex technical issues across environments. • Ensure systems comply with security standards, policies, and best practices. • Work with cross-functional teams including software engineers, network engineers, cybersecurity, and project managers. • Provide technical leadership, guidance, and mentorship to junior engineers and staff. • Create and maintain system documentation. • Conduct testing: 1.Unit Testing – of individual units of source code to determine if they are fit for use. 2.Integration Testing – of modules which are combined and tested as a group. The Contractor shall perform integration testing to ensure code maintenance activities do not affect the following dependent interfacing systems. 3.Regression Testing – against all previous test cases and results to ensure that new code, functionality, or new releases have not introduced errors to existing functionality. 4.Functional Testing – that tests the front and back-end functionality of the code to ensure that all the data entry, user interface, encryption, and application calculations are working correctly. 5.Security Testing – conduct software code vulnerability scans and testing that ensures the software is free of any potential vulnerabilities or weaknesses, risks, or threats. The Contractor shall provide certified scan reports validating the required code quality. 6.Database Testing – to include shadowing, mirroring, journaling, lock table assessment, performance for global read/writes, load testing, daylight savings time freeze, backup/restore, and system and database failure/recovery

• Design, build, and maintain internal AI solutions • Develop custom AI applications, automations, and internal tools aligned with our enterprise AI priorities (enterprise search, intelligent automation, virtual agent capabilities, and secure AI enablement). • Build prototypes and production-ready functionality using Python (primarily), JavaScript/TypeScript, or similar languages. • Integrate AI capabilities into core systems including Google Workspace, Slack, Atlassian (Jira, Confluence), Salesforce, Okta Workflows, and internal APIs. • Implement retrieval pipelines, embeddings, prompt orchestration, and internal agent frameworks. • Act as the AI business partner for the organization • Meet with teams across the business to analyze workflows and identify opportunities to apply AI and automation. • Translate ambiguous needs into technical solutions that drive measurable impact. • Create AI usage patterns, templates, and frameworks employees can adopt quickly and safely. • Support AI Governance Board workstreams and implement safety, auditability, data privacy, and responsible-use controls. • Develop integrations and automation pipelines • Use APIs, webhooks, and scripting to connect AI systems to operational and business data. • Build automation pipelines that significantly reduce cycle times across operations, finance, and People workflows. • Partner with Enterprise Systems to integrate AI into order-to-cash workflows, operational tooling, and enterprise systems. • Support Spring’s AI infrastructure & enterprise AI tooling strategy • Collaborate with Security and Engineering to ensure responsible, compliant, and observable AI deployments. • Evaluate and integrate enterprise AI tools such as Glean, Console, and other AI productivity platforms. • Contribute to guidelines, architecture patterns, and playbooks for internal AI development. • Enable, train, and empower the company to use AI • Build documentation, guides, and internal tools that make AI adoption intuitive for all employees. • Partner with Enablement to design and deliver internal AI education programs. • Serve as a technical escalation point for complex AI and automation challenges.