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RemoteListed Jul 3, 2026

Senior Fullstack Software Engineer

Softgic

The role

Job description

This is a remote position. Role Overview:You will be a founding-level senior engineer in a small, fast-moving team building our core platform from scratch. This is greenfield development — no legacy code to maintain, just high-impact work that shapes the product from day [link removed] treat AI development tools (like Claude Code, Cursor, Copilot) as *core workflow engines*, not just helpers — you will use them daily to build features in days that would take others [link removed] will own the full stack:- Mobile-first, rugged user interfaces designed for technicians working in busy shop environments- Backend systems that track results, flag missing steps, and automatically generate documentation, quotes, and invoices- Everything in between: data models, business logic, integrations, and intelligence layersWhat You Will Build:Core Platform EngineA workflow system that guides technicians step-by-step through safety scans, system calibrations, and post-repair resets — drastically reducing errors, omissions, and compliance [link removed]-Powered IntelligenceAdaptive checklists and audit trails that adjust automatically based on vehicle make/model, repair type, and safety regulations — ensuring nothing is missed and everything is [link removed] & Compliance ToolsDashboards, alerts, and reports that help shop owners capture every billable service, reduce liability, and prove full compliance with industry [link removed]-First InterfacesSimple, fast, and durable mobile/tablet UIs — built for real shop conditions: easy to read at a glance, hard to tap incorrectly, and fully usable even with dirty or gloved [link removed] with existing tools: OEM diagnostic systems, repair management platforms, and vehicle data APIs — so our system fits seamlessly into how shops already work.6. Advanced AI Features:- LLM-powered diagnostic summaries and natural-language documentation- Automatic conversion of repair estimates into step-by-step work orders- Intelligent automation that turns raw data into clear, actionable instructions Requisitos Core Skills & Requirements We look for deep experience and strong capability in: System Architecture & Data Modeling:Designing scalable, maintainable, and secure systems. Security:Authentication, authorization, and data protection best practices. Frontend:React, TypeScript, modern UI patterns, and mobile-first responsive design. Backend:Node.js, Python, REST APIs, and service design. Data:PostgreSQL / SQL, database design, and performance optimization. Cloud Infrastructure:GCP, Azure, or AWS — deployment, scaling, anddevopsbasics AI Integration:Working with LLMs, AI tools, and intelligent features. DevOps:CI/CD pipelines, automation, and reliable delivery workflows. Ideal Candidate Profile You area greatfit if: You have 5+ years offullstackdevelopment experience and can take features fromideato production alone. You love AI coding tools — you use them daily, know how to get the best out of them, and see them asgame-changers. You build software for real people — you care deeply about making complex things simple, especially for non-technical users. You move fast, but never compromise on safety, accuracy, or reliability — especially important in a regulated, safety-critical industry. You are motivated by real-world impact: your code will prevent mistakes, protect people, and help businesses succeed. You thrive in early-stage environments: you can handle ambiguity, define scope, prototype, and iterate quickly. You are customer-obsessed, open-minded, and always learning. Nice-to-Have Qualifications: Experience or familiarity with the automotive repair industry. Knowledge of OBD-II, ADAS systems, repair workflows, or shop management software. Experience buildingcompliant softwarein regulated fields: automotive safety, healthcare, fintech, or insurance. Background in hardware, embedded systems, or vehicle data protocols (CAN bus, diagnostics APIs). Hands-on work withLLM pipelines: structured outputs, retrieval-augmented generation (RAG), or AI agent workflows. Originally posted on Himalayas

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