Senior Full Stack Software Engineer
Builds full-stack web and mobile applications handling large-scale field data (videos, images, IoT) for construction project management tools. Requires 8+ years experience with TypeScript/Python/Java, modern frameworks like Next.js/Nuxt.js, cloud platforms, and APIs.
About the job
Responsibilities
- Design and develop full-stack applications powering project management, commissioning workflows, and data capture.
- Build web and mobile tools for field teams to upload videos, images, structured forms, IoT readings, and issue documentation.
- Develop intuitive, high-performance UIs that handle complex data streams and large-scale datasets.
- Work on backend services and APIs that support rapid data ingestion, processing, and review at enterprise scale.
- Collaborate cross-functionally with backend, CV/ML, product, design, and 3D visualization teams to deliver seamless end-to-end features.
- Manage individual project priorities, deadlines, and deliverables.
- Optimize web applications to maximize speed and scale.
- Contribute to technical planning, feature roadmaps, and long-term architectural decisions.
- Champion usability and field readiness ensuring tools are simple, fast, and resilient.
Requirements
- 8+ years of experience building and shipping full-stack web and mobile applications.
- Expertise with modern full-stack frameworks (e.g., Nuxt.js, Next.js, or similar).
- Strong engineering experience with Typescript, Python or Java, and APIs.
- Experience developing applications that handle large-scale multimodal datasets (3D components, videos, images) and/or IoT data inputs.
- Strong familiarity with cloud environments (AWS, GCP, or Azure) and containerized infrastructure.
- Experience working with a team to design domain-driven data models and working with OLTP/OLAP systems.
Preferred
- Experience with data warehousing tools such as Redshift, Snowflake, Databricks, or BigQuery.
- Background with offline-capable architectures and mobile-first data collection tools.
- Experience with 3D visualization (three.js), geospatial data, or computer-vision-powered experiences.
- Exposure to ML/AI-driven feature development.
- Comfort with CI/CD pipelines, observability tooling, and automated testing best practices.
Compensation & Benefits
- Competitive Base Salary + Equity Package.
- Comprehensive Health Insurance (Medical, Dental, Vision).
- Home Office Stipend.
- Monthly allowance for cell phone and internet.
- Flexible PTO, generous company holiday policy, and unlimited sick days.
Skills
TypeScript, Python, Java, Nuxt.Js, Next.js, AWS, GCP, Azure, Kubernetes, React, Three.Js, Redshift, Snowflake, BigQuery, CI/CD
Similar jobs
Fullstack Engineering jobsBuild and ship full-stack features for high-volume healthcare billing workflows, including claims, appointments, and payments. The role requires 5+ years of production experience, strong frontend and API skills, and the ability to design reliable, observable systems.
Build and lead fullstack Post-Booking systems, including Node.js services, web experiences, distributed infrastructure, and AI-driven enhancements. The role requires substantial Node.js, microservices, SQL, event-driven systems, and distributed-systems expertise, along with technical leadership and mentoring.
Build and scale a full-stack financial synchronization platform connecting Tabs’ billing workflows with external ERP and general-ledger systems. The role requires 5+ years of software engineering experience, TypeScript or a similar language, relational database expertise, and strong end-to-end ownership.
Senior full-stack engineer responsible for owning product development from customer discovery through delivery, building scalable APIs and event-driven systems. Requires 5+ years of experience, strong Ruby/Rails or JavaScript/React expertise, and comfort working in an early-stage startup environment.
Build and operate end-to-end AI features across Cribl’s product, backend, and model integration layers. The role requires strong full-stack experience, TypeScript or JavaScript expertise, backend systems skills, and production experience with AI agents, RAG, MCP, and machine learning systems.