At Mach9, Backend Engineers build the secure, scalable services that turn terabytes of raw geospatial data into lightning‑fast insights for our users. You’ll partner with perception and platform teams to design APIs, data pipelines, and cloud infrastructure that keep our web‑based CAD tools responsive—no matter the dataset size.
This role is ideal for engineers who love wrangling cloud infrastructure, optimizing performance and costs, and shipping rock‑solid services that developers and customers trust.
You’ll own everything from databases to devops, scaling our backend infrastructure as we set out to make every map.
Architect and implement secure, high‑performance APIs and micro‑services in Python and TypeScript
Design data pipelines that process and serve massive point‑cloud and imagery datasets with low latency
Drive cloud‑cost optimization across AWS, choosing the right services, instances, and storage strategies
Implement robust access‑control models (RBAC, ACLs, IAM policies) that protect sensitive customer data
Collaborate with perception and product teams to ship end‑to‑end features—owning backend design decisions from concept through monitoring in production
Level‑up our observability stack, with logging/tracing, monitoring, dashboards, and alerts
6+ years of experience building and operating production backends or infrastructure‑heavy systems
Proficiency in Python, SQL, and TypeScript (Node.js) for service development, scripting, and tooling
Hands‑on experience with at least one major cloud provider (AWS strongly preferred)
Deep understanding of authorization / access‑control paradigms (RBAC, ACL, ABAC, OIDC/OAuth)
Comfort diagnosing performance bottlenecks, balancing trade‑offs between speed, cost, and reliability
Experience architecting, maintaining, optimizing, and scaling data infrastructure leveraging a deep knowledge of databases and other distributed systems
Experience with or interest in managing point cloud or geospatial data
Mach9 is transforming civil infrastructure design with AI‑powered geospatial tools. Our platform accelerates the creation of engineering deliverables from raw data, cutting manual drafting time by 96×. Trusted by global leaders in engineering and construction, we’re backed by Y Combinator, Quiet Capital, and top founders and executives from Cruise, Autodesk, Adobe, and DoorDash.
We believe the needs of a startup benefit from an in‑person culture. The team works out of our office in SoMa, with the flexibility to work from home when needed.
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