Platform & Data Engineer Full-time · 100% Remote

neoBIM is a cutting‑edge startup transforming the construction industry with AI‑powered Building Information Modeling (BIM).

Co‑founded by industry pioneers, the company is on a mission to make BIM smarter, faster and more collaborative. With a growing team, neoBIM offers a collaborative work environment, a flexible but performance-oriented culture, and the chance to work on a project of global-scale ambition.

We are currently recruiting for an experienced, hands-on Platform Engineer to help shape our infrastructure, improve system reliability, accelerate product development, and improve release cadence.

Engineering Area

The focus of this position is the design and operation of the data and infrastructure platform that our product and research teams build on. You will work closely with the platform team on critical infrastructure components and help scale the platform as the team and product grow.

• Contribute to and evolve our cloud infrastructure across compute, storage, networking, IAM and security controls

• Build and maintain CI/CD pipelines across a mixed TypeScript and Python codebase

• Operate and improve our primary data stores — relational and graph databases

• Design and implement data pipelines that move, transform and validate data across the platform

• Implement observability — structured logging, distributed tracing and alerting

• Contribute to security and compliance posture across services

• Build internal developer tooling that makes iteration fast and safe

• Support deployment and scaling of research workloads including GPU-based training runs

Requirements

Must have:

• Solid hands-on experience with a major cloud provider — GCP preferred

• Strong infrastructure-as-code practice — Terraform or Pulumi

• Experience operating Postgres in production

• Proficiency in CI/CD design and multi-environment deployments

• Comfort working across TypeScript and Python codebases

• Security-first mindset

Nice to have:

• Experience with graph databases

• Familiarity with data pipeline tooling

• Experience running GPU workloads on cloud infrastructure

• Exposure to geospatial or domain-specific data formats

Tech stack: GCP · Postgres · TypeScript · Python · Docker · Terraform · GitHub Actions