Senior Software Engineer – Python Backend & Manufacturing Systems

Diamond Foundry•Bay Area, CA

2d•Onsite

About The Position

Diamond Foundry Inc. is seeking an experienced, communicative Senior Software Engineer to own the data pipelines, internal systems, and APIs powering real-time manufacturing and R&D operations. The role requires production-grade Python expertise and end-to-end project ownership, partnering directly with material engineers, technicians, and hardware engineers to turn operational challenges into production software. The position is on-site five days a week at either the South San Francisco or Fremont, California office. The position is eligible for company shares, and compensation may vary based on factors including duties, experience, and location. Higher-level candidates will also be considered, with salary adjusted accordingly.

Requirements

At least 4 years of software engineering experience, with production Python as the primary language.
Proven end-to-end project ownership, including defining roadmaps, writing specifications, and independently executing code.
Full-lifecycle Python backend expertise across REST APIs, event and data pipelines, and automation scripts.
Strong interpersonal and communication skills, including the ability to conduct discovery with non-software stakeholders such as scientists, technicians, and operations teams.
Strong querying skills and schema design fundamentals.

Nice To Haves

Experience with industrial protocols such as MQTT, Modbus, OPC-UA, or PLCs.
Experience in manufacturing, hardware-in-the-loop, or physical R&D environments.
Hands-on experience with FastAPI, Flask, or async processing.
Experience scoping technical requirements directly from physical shop-floor workflows.

Responsibilities

Own technical initiatives from inception to delivery, translating operational needs into technical roadmaps, architectural specifications, and deployable code.
Architect and scale end-to-end Python backends, including high-throughput event pipelines, internal REST APIs, and automated data processing tools.
Work directly with production technicians, metrology specialists, and R&D engineers to diagnose workflow bottlenecks and validate solutions on the production floor.
Optimize database performance and schema design for high-frequency telemetry, process metrics, and traceability data.
Partner with front-end engineers to define API contracts and data models for operator-facing user interfaces.