Teams at PeerIslands

Develop LLM-powered automation and agent tooling for legacy code analysis and modernization. Build cloud-native migration services, scalable Spark and Databricks data platforms, ETL frameworks, data models, validation controls, and Airflow-orchestrated workflows. Reverse-engineer mainframe and database workloads, transform legacy logic into microservices, optimize MongoDB schemas, and implement near-real-time data synchronization. Requires extensive data engineering, cloud, Python, and AI framework experience.

Designs and leads enterprise backend systems, streaming services, distributed architectures, APIs, databases, Kubernetes deployments, and DevOps automation. The role also contributes to full-stack delivery, product ownership, technical prototyping, client presentations, and end-to-end application delivery while coordinating onshore and offshore teams.

Lead design, deployment, and operation of end-to-end Azure and Microsoft Fabric data solutions. Migrate on-premise estates to cloud, build lakehouses/warehouses and semantic models, develop enterprise Power BI dashboards, automate processes with Power Platform, manage relational database performance and security, and communicate platform capabilities to stakeholders.