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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # VP of Engineering - **Company:** On behalf of Next Deavor - **Location:** United States (Remote available) - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Automation of Tests, Software as a Service, Cloud Computing, Cloud Engineering, Code Review, Continuous Integration, Data Systems, Software Debugging, DevOps, Distributed Systems, Python (Programming Language), PostgreSQL, Redis, Release Management, Search Technologies, Software Deployment, Software Engineering, Large Language Models, Snowflake, Prompt Engineering, Model Validation, Generative AI, Backend, Event Driven Architecture, Build Management, AI Platforms, Kubernetes, Data Management, Restful APIs, Terraform, Data Pipelines, Automation Anywhere, Docker, Databricks, Microservices - **Published:** August 4, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=bcea77a9ecc0f1b6 ## About the Role * Significant experience leading software engineering organizations (VP/Head/Director/founding engineer) in startup or growth-stage product companies. * Proven track record taking software and AI products from concept to production and commercial adoption. * Strong hands-on software engineering background; ability to engage in architecture, code, APIs, data systems, and infrastructure. * Experience recruiting and scaling engineering teams and implementing development and operational best practices. * Strong understanding of cloud architecture, distributed systems, data platforms, security, DevOps, and SaaS product development. * Excellent communication skills and ability to work across engineering, product, commercial stakeholders, and executive leadership. Here's What Else Might Help You Out * Proficiency with Python and modern backend frameworks. * Experience building REST APIs, microservices, data pipelines, event-driven systems, and distributed applications. * Experience with generative AI, large language models, RAG, vector search, prompt engineering, and model evaluation. * Familiarity with AWS services, PostgreSQL, Redis, OpenSearch, Snowflake, Databricks, vector databases, Docker, Kubernetes, Terraform, and CI/CD tools. * Familiarity with enterprise security and compliance frameworks such as SOC 2, ISO 27001, HIPAA, or GDPR. ## Description You will lead and scale the engineering organization to deliver AI-powered products and a reusable technology platform that drives commercial adoption. You will partner with executive leadership, product, data, and customers to translate business and customer needs into technical roadmaps and production-ready capabilities. This is a hands-on leadership role where you will balance strategy and day-to-day engineering work. Here's How You'll Make an Impact on the Team * Own the engineering strategy, technical roadmap, architecture, and product delivery capabilities. * Translate business priorities and customer requirements into clear engineering plans and executable initiatives. * Lead products from discovery and POC through MVP, customer validation, production deployment, and scaling. * Stay hands-on with architecture, code review, prototyping, debugging, and performance improvements. * Design and develop APIs, backend services, data pipelines, AI workflows, and cloud infrastructure. * Build and deploy generative AI, RAG, semantic search, AI-agent capabilities, and platform AI services. * Establish engineering practices: code review, automated testing, CI/CD, release management, observability, incident response, and production support. * Recruit, develop, and retain a high-performing engineering organization and define team structure, roles, and career paths. * Implement security, compliance, and scalability practices for enterprise and regulated environments. ## Related Videos - [Reducing LLM Calls with Vector Search Patterns - Raphael De Lio (Redis)](https://www.wearedevelopers.com/videos/1714-reducing-llm-calls-with-vector-search-patterns-raphael-de-lio-redis) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [We adopted DevOps and are Cloud-native, Now What?](https://www.wearedevelopers.com/videos/485-we-adopted-devops-and-are-cloud-native-now-what) - [Accelerating Authentication Architecture: Taking Passwordless to the Next Level](https://www.wearedevelopers.com/videos/733-accelerating-authentication-architecture-taking-passwordless-to-the-next-level) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Now is the time for industrialized software development](https://www.wearedevelopers.com/magazine/601-now-is-the-time-for-industrialized-software-development) - [How to Answer the Interview Question: “Why Do You Want to Be a Software Engineer?”](https://www.wearedevelopers.com/magazine/392-how-to-answer-the-interview-question-why-do-you-want-to-be-a-software-engineer)