ERP Full Stack Developer

pul liScispot began after my brother Guru and I (Satya) watched someone they loved run out of time while slow, manual lab processes delayed a promising treatment. We are building Scispot so life‑saving science can move at software speed. /li liBiotech Lifescience teams should not have to choose between moving fast and keeping their data clean, connected, traceable, and ready for AI. /Scispot connects lab operations, instrument data, scientific workflows, and AI‑driven insights in one platform. This becomes the memory layer for lifescience teams for their agents. /It will help scientists run experiments faster, trace samples accurately, automate repetitive work, and move treatments closer to patients. /li liThis is a rare chance to build infrastructure at the intersection of software, AI, data, and biology. /li /ul h3What You'll Do /h3 ul liOwn major product areas from first customer conversation to production. You will define the problem, choose the architecture, build the interface and backend, deploy it, measure its impact, and keep improving it. /li liBuild the GLUE and API layers that reliably move data from lab instruments, external systems, and scientific files into Scispot. /li liLet scientists query the full journey of a sample—from batch to run to assay—using natural language, graph‑backed data, and grounded retrieval. /li liBuild AI agents that can take useful actions inside lab workflows, not merely produce text. /li liTurn one‑off lab instrument integrations into reusable connectors, SDKs, templates, and eventually a self‑serve connector ecosystem. /li liBuild polished workflows across React and TypeScript, Java Spring Boot and Python services, APIs, queues, data stores, and AWS infrastructure. /li liImprove EKS infrastructure, automated tests, telemetry, incident response, and system reliability as Scispot grows. /li liSpeak with scientists and lab operators regularly. Then ship tools that remove real bottlenecks. /li liTurn incomplete requirements and messy scientific workflows into simple, reliable software without waiting for a perfect PRD. /li /ul h3First 30 days /h3 ul liJoin customer calls and map one complete lab workflow, including the instruments, data handoffs, user decisions, and current sources of manual work. /It could improve instrument ingestion, scientific search, sample traceability, workflow automation, or Scibot. /li liAudit one critical path across the interface, APIs, data layer, and infrastructure. Find the highest‑risk reliability or scaling issue and fix at least one part of it. /Handle the scope, architecture, implementation, tests, telemetry, rollout, and customer feedback. /li liImprove one core AI or data path, such as recommendations, retrieval, ETL, search, or sample chain of custody. /li liRaise the engineering bar through better tooling, tests, observability, documentation, or deployment workflows that help the full team move faster. /li liYou will work across product engineering, AI, data systems, infrastructure, and customer discovery instead of being confined to one narrow layer. /li liYou will help shape the engineering culture of a small team while remaining deeply hands‑on. /You know when to ship a simple version and when reliability, security, or data integrity requires deeper work. /li liYou are comfortable moving between a React interface, backend services, APIs, databases, queues, cloud infrastructure, and AI systems. /li liYou enjoy speaking with users and believe customer discovery is part of engineering. /li liYou have founder, early‑stage startup, side‑project, or open‑source experience that shows initiative and resourcefulness. /li liExperience with Spring Boot and/or FastAPI. /li liExperience working in an early‑stage startup environment. /li liYou prefer to own only the frontend, only the backend, or only the architecture. /li liYou need several layers of approval before shipping a sensible change. /li /ul h3What We Will Ask You About /h3 ul liShow us one product or system you personally took from idea to production. /li liTell us what was unclear at the beginning, what decisions you made, what you shipped, and what changed for users. /li liShare a live product, repository, demo, architecture note, or short walkthrough when possible. /li liEvidence of initiative and ownership matters more to us than employer prestige, degrees, or polished interview language. /li /ul pJoin Scispot if you want to build like a founder, remain close to users, and apply software and AI to problems that matter beyond software. You will have high autonomy, direct feedback, hard technical problems, and a visible link between what you ship and how quickly scientists can do their work. /