Note: The job is a remote job and is open to candidates in USA. asobbi is a seed-stage AI startup operating in stealth and backed by top-tier venture capital firms. The company is seeking a hands-on Founding Full-Stack Engineer to build and operate its platform, contribute to architecture and technical decisions, work directly with early customers, and help establish engineering standards as the team grows.
Responsibilities
- Design, build, test, and operate production-grade features and services
- Build and operate systems deployed across public cloud, on-premises, and hybrid environments
- Contribute to architecture and technical decisions that shape the platform
- Prototype new approaches and evaluate emerging technologies, tools, and engineering techniques
- Work directly with early customers to translate real-world requirements into production capabilities
- Support customers with the deployment and operation of the platform in production
- Use AI-driven development workflows, such as Claude Code, Cursor, or equivalent tools, to improve development velocity and quality
- Help establish the standard for engineering quality and technical craftsmanship as the team grows
Skills
- At least five years of hands-on engineering experience building, shipping, and maintaining production software
- Experience building distributed systems, backend services, or infrastructure platforms, with a strong focus on reliability and performance
- Working knowledge of cloud-native technologies, including Kubernetes, containerised workloads, service-oriented architectures, and infrastructure as code
- Experience with Terraform, Pulumi, or similar tools across AWS, Microsoft Azure, or Google Cloud Platform
- Strong systems fundamentals, including API design, backend architecture, performance, and reliability
- Strong programming proficiency in Rust or C++, with experience writing performant, production-grade code
- High ownership and a bias for action in 0-to-1 environments
- The ability to make pragmatic trade-offs, operate with incomplete information, and drive work from initial concept through production launch
- Excellent communication skills and the ability to work directly with customers, discuss technical trade-offs, and collaborate closely within a small team
- Building large-scale, customer-facing distributed systems and applications used by enterprise customers
- Building and deploying solutions across multi-cloud and on-premises environments
- Working with AI or machine-learning infrastructure, including training, inference, platforms, or supporting pipelines
- Familiarity with security domains such as identity, access control, key management, or trusted computing
- Previous startup or early-stage company experience
- Experience within a large technology company combined with a strong desire to build something new in an early-stage environment
Company Overview