Full Stack / Data Engineer, LineTen

• This role is ideal for someone who enjoys variety — from writing performant C# code and automating infrastructure in Azure, to designing data flows, integrating AI/LLMs into solutions, and getting to the root cause of production issues when things go wrong
• Strong background in C# / .NET development (API design, backend systems)
• Hands-on experience with Azure services (App Services, Functions, Storage, Service Bus, DevOps)
• Strong understanding of data architecture and ETL/ELT pipelines
• Proven experience setting up Microsoft Fabric, Data Lakehouse, or Medallion architecture
• Demonstrated ability to troubleshoot complex distributed systems and identify root causes
• Exposure to SRE principles (monitoring, incident management, resilience)
• Familiarity with AI/LLMs (e.g., using OpenAI, Azure OpenAI, or similar APIs)
• Excellent problem-solving skills and ability to move from high-level strategy to hands-on delivery
• Experience in a startup or small-team environment, comfortable wearing multiple hats
• Curious, pragmatic, and proactive problem-solver
• Comfortable with ambiguity and rapid change
• Communicates clearly across technical and non-technical audiences
• Strong sense of ownership — “if it breaks, you fix it.”
• Passion for continuous learning and leveraging AI tools effectively

Desirable

• We are looking for a versatile and hands-on Developer / Data Engineer who thrives in a fast-paced startup environment
• You’ll work across application development, data architecture, and site reliability — solving complex problems, supporting production systems, and building the foundations for scalable internal and external data self-service through Microsoft Fabric and a Medallion architecture
• You’ll be part of a small, high-performing team where ownership, curiosity, and initiative matter more than job titles
• End-to-End Development: Build and maintain cloud-native applications and services using C#, .NET, and Azure
• Data Architecture & Fabric: Design, implement, and maintain Microsoft Fabric environments; establish Medallion (Bronze/Silver/Gold) data architecture for both internal analytics and external self-serve
• Site Reliability & Support: Act as 3rd-line support, diagnosing complex production issues across systems, cloud, and data layers
• Automation & Monitoring: Develop tools and processes for deployment automation, observability, and system reliability (e.g., pipelines, alerts, logging)
• AI & LLM Integration: Prototype and integrate LLM-driven solutions to enhance self-service, analytics, or development efficiency
• Collaboration: Partner closely with engineering, product, and operations teams to deliver solutions end-to-end — from concept to production
• Continuous Improvement: Contribute to technical standards, documentation, and architecture evolution
• What Success Looks Like:
• Fabric and Medallion data architecture established for internal/external use
• Stable, observable, and performant production systems
• Rapid and confident troubleshooting of issues in live environments
• Measurable improvement in data accessibility and self-service analytics
• Thoughtful experimentation with AI and automation that improves team efficiency