Project Management : In project management, the leader would participate or sometimes lead certain projects. This includes : The new system goes live. New scope transition. New site transition. The leader would be expected to: Support/Lead transition activities (including knowledge transfer, hiring, training, etc). Support the transition team in resource allocation/management. Involve in Hypercare
People-oriented mindset, highly accountable, agile, and results-oriented. Acts as a servant leader. Lives the Roche values and leadership commitments, has a growth mindset and drives a collaborative culture in the organization. Represent and support the desired ways of working (Agile, LEAN, ITIL, VACC). Ability to work in, co-create and contribute to a highly complex and team-oriented global environment
Ability to work in, and contribute to, a fast-paced and changing environment, where multiple priorities need to be effectively managed, while maintaining composure and flexibility in a structured and highly complex environment. Drive cost-conscious spending behavior to manage team expenses. Able to thrive in a high performing organization. Have a strong entrepreneurial mindset to trust in your capabilities and power to influence outcomes
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Quality Assurance & Compliance: Define performance metrics, continuous monitoring, health checks, periodic reviews, enforcement mechanisms, and automated validation rules to maintain 100% accurate dependencies, impact maps, and ticket routing logic
Process Enablement & Frameworks: Standardize playbooks, intake frameworks, and self-service guidelines to streamline how product teams interface with IT Service Management systems. Contextual layer for operational telemetry (dependencies, ownership, business mapping) to enable reasoning.
AI Tools and Automation Adoption: Define and adopt AI-driven Solutions and rulesets to support the identification of operational support structure gaps and the automation of the corrective actions in the CMDB. Provides the necessary high-quality, real-time data layer to safely automate operations and prevent AI "hallucinations “
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Work with level 1 support in application knowledge transfer in establishing standard first level recovery process/system health check monitoring/scheduled activities as well as common application user queries.
Collaborate with internal stakeholders like application, business, infrastructure, security, and operations to continuously improve the stability of applications.
Develop support operational documents to summarize common support issues.
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Workforce Readiness: Design and deliver technical onboarding for the Troopers gig workforce, specifically focusing on food handling protocols, cross-contamination prevention, and F&B operational safety.
Quality Metrics: Track technical competency scores and pre-deployment completion to ensure every "Trooper" sent to a food service site is technically proficient.
F&B Professionalism: Facilitate modules on hygiene-specific conduct, professional grooming (F&B standards), and adaptability within fast-paced kitchen/service environments.
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Workforce Readiness: Design and deliver technical onboarding for the Troopers gig workforce, specifically focusing on food handling protocols, cross-contamination prevention, and F&B operational safety.
Quality Metrics: Track technical competency scores and pre-deployment completion to ensure every "Trooper" sent to a food service site is technically proficient.
F&B Professionalism: Facilitate modules on hygiene-specific conduct, professional grooming (F&B standards), and adaptability within fast-paced kitchen/service environments.
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Full Stack EngineeringFrontend: React, Next.js, TypeScript, modern component architectures, state management, real-time and streaming AI interfaces, agent activity and execution interfaces, data visualization.Backend: Node.js, TypeScript, Python, REST APIs, GraphQL, WebSockets and streaming, event-driven architectures, background workers, job queues, distributed systems, authentication and authorization.
Distributed SystemsDesign systems that reliably execute thousands or millions of AI and data-processing tasks. Kubernetes, Docker, Cloud Run and serverless, message queues, Redis, Kafka or equivalent, distributed job processing, concurrency management, rate limiting, retries, idempotency, fault tolerance, observability. You know how to build systems that stay reliable when agents fail, APIs time out, models hallucinate, or downstream services go away.
Data & Learning InfrastructureBuild the infrastructure agents need to learn from historical executions. PostgreSQL, BigQuery or equivalent data warehouses, ClickHouse or analytical databases, vector databases, embeddings, retrieval systems, event logs, feature stores, analytics pipelines, data ingestion.
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