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VP Innovation – R&D
Location
United States
Posted
123 days ago
Salary
$100 / hour
Seniority
Lead
Job Description
VP Innovation – R&D
TCP
• Lead the Migration: Architect and execute the migration of product and backend tools from legacy data centers to a public cloud environment (AWS/Azure/GCP). • Modernize Operations: Transition from legacy hosting to modern, containerized architectures (Docker/Kubernetes) and implement robust CI/CD pipelines. • Infrastructure as Code: Enforce IaC best practices using tools like Terraform or Ansible to ensure environments are reproducible and scalable. • Build & Deploy: Go beyond the hype by identifying high-ROI use cases for GenAI. You will architect and build solutions involving LLMs, RAG (Retrieval-Augmented Generation), and Vector Databases. • Internal Tooling: Develop AI-driven tools to increase developer efficiency and automate backend operational workflows. • AI Governance: Establish technical standards for API usage, data privacy, and cost management for AI integration. • Manage the "SWAT" Team: Lead a lean, high-output team of DevOps engineers and Full-Stack Developers. • Hands-on Coding: Actively contribute to code reviews, architectural decisions, and critical development tasks. You will be expected to get your hands dirty. • Change Management: Bridge the gap between legacy engineering practices and modern cloud-native workflows, mentoring existing staff and raising the bar for engineering quality.
Job Requirements
- 10+ years of total software engineering experience, with at least 3-5 years in a technical leadership position.
- Cloud Migration Expert: Proven track record of personally leading a successful migration from On-Premise/Data Center to Public Cloud (AWS, Azure, or GCP).
- AI/ML Stack: Recent, practical experience building with the modern AI stack (OpenAI/Anthropic APIs, LangChain, Pinecone/Weaviate, Python).
- DevOps Mastery: Strong background in Linux, Networking, Security, and Container Orchestration (K8s).
- Execution First: You value shipping working code over creating slide decks. You are comfortable working in a "turnaround" or high-growth environment where speed is critical.
- Effective Communication: You can explain complex technical architectural decisions to non-technical stakeholders and Board members.
- Resilience: You have the grit to navigate legacy environments and the emotional intelligence to drive cultural change in established teams.
- Previous experience working within a Private Equity or Venture Capital-backed portfolio company.
- Experience dissecting and refactoring Java or .NET monoliths.
Benefits
- Long-term contract
- Rate: $100/hr
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About the Role We are seeking a hands-on, execution-focused VP of Innovation to join one of our key portfolio companies. Reporting directly to the CTO, you will lead a specialized technical team (DevOps & Senior Developers) tasked with the company’s most critical modernization initiatives. This is a "Player-Coach" role. We are not looking for a theoretical strategist or a pure people manager. We are looking for a senior technologist who has deep experience navigating legacy codebases, migrating on-premise operations to the public cloud, and architecting modern Generative AI solutions. You will act as a catalyst for change, driving technical excellence and increasing the company's enterprise value by modernizing our stack. Key Responsibilities Infrastructure Modernization (Data Center to Cloud) - Lead the Migration: Architect and execute the migration of product and backend tools from legacy data centers to a public cloud environment ([AWS/Azure/GCP]). - Modernize Operations: Transition from legacy hosting to modern, containerized architectures (Docker/Kubernetes) and implement robust CI/CD pipelines. - Infrastructure as Code: Enforce IaC best practices using tools like Terraform or Ansible to ensure environments are reproducible and scalable. Generative AI Implementation - Build & Deploy: Go beyond the hype by identifying high-ROI use cases for GenAI. You will architect and build solutions involving LLMs, RAG (Retrieval-Augmented Generation), and Vector Databases. - Internal Tooling: Develop AI-driven tools to increase developer efficiency and automate backend operational workflows. - AI Governance: Establish technical standards for API usage, data privacy, and cost management for AI integration. Technical Leadership - Manage the "SWAT" Team: Lead a lean, high-output team of DevOps engineers and Full-Stack Developers. - Hands-on Coding: Actively contribute to code reviews, architectural decisions, and critical development tasks. You will be expected to get your hands dirty. - Change Management: Bridge the gap between legacy engineering practices and modern cloud-native workflows, mentoring existing staff and raising the bar for engineering quality.
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