Founding Engineer (Full-stack):

We're looking for a Full Stack Engineer with a strong background in infrastructure to build, scale, and maintain the backbone of Chunkr's cloud and on-premise services, ensuring they are fast, reliable, and developer-friendly.

What You’ll Do

• Develop key production features end-to-end.
• Architect, build, and manage core infrastructure for our document intelligence models (including VLMs) from R&D to production.
• Support enterprise customers with managed on-premise deployments (Docker, Kubernetes, Helm) across GCP, AWS, and Azure.
• Maintain excellent technical documentation and open-source repositories.

What We’re Looking For

• Deep expertise in Rust and Python for high-performance, reliable services.
• Proven experience building and maintaining scaled, complex distributed systems (microservices, parallelization, Redis, high-performance Rust servers).
• Skilled in high-urgency debugging and live system management.
• Proficiency with infrastructure-as-code (Terraform, Helm, Kubernetes, Docker) and implementing OpenTelemetry for monitoring.
• Experience with major cloud providers (GCP, AWS, Azure PaaS/IaaS) and optimizing demanding workloads (e.g., VLM inference, large-scale data processing).
• Entrepreneurial mindset: experience owning a software product end-to-end and deciding your ideal roadmap.
• Familiarity with frontend deployments, debugging, and optimization.
• Comfortable with working across all technical aspects of Chunkr - reviewing the repository is a great place to see what we are doing.

Our process is flexible and adapts based on our initial conversations with you. To start - share your resume and Github/Portfolio via email to mehul@chunkr.ai, with a subject line of Founding Engineer App.

If there’s a strong fit, we’ll reach out and you can expect the following:

1. Portfolio/Project Deep Dive (45-60 min)

This is a collaborative, in-depth discussion about your experience. We'll start by talking through your background, focusing on the most complex systems you've built and scaled. You will then take the lead and choose one significant project from your career to walk us through. We want to understand its architecture, the technical trade-offs you made, the challenges you overcame, and your specific contributions.

To help you prepare, we are most interested in hearing about:

• Architecting and scaling production infrastructure for demanding workloads like ML model serving, large-scale data processing, or high-performance APIs.
• Building and maintaining complex distributed systems, particularly with Rust.
• Deploying and managing services across major cloud providers (GCP, AWS, Azure) and on-premise environments (Docker, Kubernetes, Helm).
• Leading high-stakes production debugging and implementing robust monitoring and observability (e.g., OpenTelemetry).
• Driving CI/CD strategy and owning the development-to-production lifecycle.
• Owning a product end-to-end: Past experiences with building complete products and putting your work out there. Open source dev tool work is a huge plus.

2. Next steps: Based on the initial conversation - we will chart out a custom process and comm timelines and expectations. This can include conversations with other team members, technical take-homes, referral requests etc.