Replicast AI
VP Engineering — AI Platform & Infrastructure
- Compensation
- IDR 25M–IDR 35M / mo
- Location
- Remote
- Work setup
- Remote
- Seniority
- C level
- Employment
- Full time
- Experience
- 8+ years
- Category
- Not specified
- Posted
Skills
Must have
- 8–10+ years of software engineering experience, primarily in backend, platform, or Enterprise SaaS development.
- At least 5 years in a technical lead, engineering lead, or similar leadership role.
- Strong hands-on experience with Node.js, TypeScript, Express.js or NestJS.
- Strong experience building and operating Enterprise SaaS platforms.
- Good understanding of SaaS architecture, APIs, distributed systems, and backend design.
- Strong experience with GCP and/or AWS.
- Solid DevOps experience including Docker, CI/CD, deployment, monitoring, logging, and incident management.
- Experience with AWS CloudWatch, Datadog, or similar observability tools.
- Strong knowledge of MySQL and database optimisation.
- Experience with Git, code reviews, testing, and software engineering best practices.
- Experience leading and mentoring engineering teams.
- Willing and able to code regularly and remain technically hands-on.
Nice to have
- Experience with Kubernetes, Terraform, Redis, message queues, or WebSockets.
- Experience with multi-tenant SaaS architecture and enterprise security.
- Experience with LLMs, RAG, AI Agents, Chatbots, Voicebots, or Digital Human applications.
Full description
We’re looking for a VP of Engineering to lead the development, architecture, and reliability of our Enterprise SaaS platform for AI Digital Human and Conversational AI applications.
This is a hands-on role. You will be expected to code, design architecture, manage cloud and DevOps practices, troubleshoot production issues and mentor junior developers.
Key Responsibilities
- Lead the architecture and development of scalable and secure Enterprise SaaS applications.
- Develop and maintain backend services using Node.js, TypeScript, Express.js or NestJS.
- Design APIs, integrations, databases, and cloud infrastructure.
- Manage deployments and infrastructure across AWS and GCP.
- Establish strong CI/CD, monitoring, logging, and DevOps practices.
- Monitor production systems using AWS CloudWatch, Datadog, and similar tools.
- Troubleshoot application, infrastructure, database, and performance issues.
- Manage and optimise MySQL databases.
- Integrate LLMs, RAG, vector databases, STT/TTS, and Voice AI services.
- Conduct code reviews and mentor junior and mid-level developers.
- Define engineering standards for security, scalability, code quality, and reliability.
Required Skills & Experience**
- 8–10+ years of software engineering experience, primarily in backend, platform, or Enterprise SaaS development.
- At least 5 years in a technical lead, engineering lead, or similar leadership role.
- Strong hands-on experience with Node.js, TypeScript, Express.js or NestJS.
- Strong experience building and operating Enterprise SaaS platforms.
- Good understanding of SaaS architecture, APIs, distributed systems, and backend design.
- Strong experience with GCP and/or AWS.
- Solid DevOps experience including Docker, CI/CD, deployment, monitoring, logging, and incident management.
- Experience with AWS CloudWatch, Datadog, or similar observability tools.
- Strong knowledge of MySQL and database optimisation.
- Experience with Git, code reviews, testing, and software engineering best practices.
- Experience leading and mentoring engineering teams.
- Willing and able to code regularly and remain technically hands-on.