Data Insights AI

About the Company

Data Insights AI is revolutionising the antiquated and inefficient oil and gas software industry with our modern, integrated cloud-native data platform. Built on best-in-class physics and cutting edge AI our platform breaks down artificial data silos adding visibility and value across business operations. Improving efficiency, we can create a greener and more sustainable future for the energy sector.

Listed Jobs

Company Name

Data Insights AI

Job Title

Back End Developer

Job Description

**Job Title**: Back End Developer **Role Summary**: Design, develop, and maintain high‑performance backend services and an agentic framework (LangGraph) for a scalable cloud platform that supports data integration, digital twins, and graph‑theory‑driven autonomous systems. **Expectations**: 3+ years of backend engineering in a production environment, strong grasp of asynchronous programming, distributed systems, and graph data structures; experience with containerized/cloud deployments (ECS/Fargate, Lambda); ability to lead architectural design; willingness to work in a fast‑moving, research‑driven setting. **Key Responsibilities** - Design and evolve an agentic framework to coordinate state, context, and reasoning loops across services. - Build and extend REST APIs and computational engines, ensuring modularity, comprehensive testing, and optimal performance. - Deploy and operate a hybrid infrastructure of ECS/Fargate containers and AWS Lambda functions using IaC (Terraform/CloudFormation). - Engineer data pipelines against PostgreSQL/PostGIS for spatial queries, vector tiles, and Redis for in‑memory caching and session management. - Implement robust CI/CD pipelines, automated test suites, and observability (logging, metrics, alerts). **Required Skills** - Proficient in Python (asyncio, FastAPI/Flask, etc.); openness to contribute from Go, Rust, or C++ backgrounds with strong architectural thinking. - Deep knowledge of asynchronous I/O, distributed system patterns, and graph theory applied to data modeling. - Experience with PostgreSQL/PostGIS, Redis, and container orchestration (ECS, Docker). - Familiarity with serverless workloads (AWS Lambda) and infrastructure as code tools (Terraform, CloudFormation). - Strong unit/integration testing, CI/CD, and observability practices. - Excellent problem‑solving, communication, and autonomous work habits. **Required Education & Certifications** - Bachelor’s (or higher) degree in Mathematics or Physics (preferred). - Relevant certifications such as AWS Certified DevOps Engineer, Certified Kubernetes Administrator, or equivalent are a plus.

Edinburgh, United kingdom

Hybrid

30-01-2026