Orchestrate the Final Mile: Lead the integration of modern, AI-generated applications (built in Python/FastAPI and React) with backend enterprise layers, specifically interacting with Databricks and legacy data environments.
Architect & Prove the Release: Design, document, and execute a robust CI/CD and release strategy. You will be the one "making it live," setting up Docker containers and Kubernetes clusters that comply with rigid enterprise security standards.
Navigate Technical Friction: Act as a high-EQ consultant to bridge the gap between our high-velocity delivery model and the client’s internal teams. You will negotiate infrastructure access and "sell" modern engineering practices to traditional stakeholders.
Player-Coach Leadership: Work directly with a small CompassX team to refine code output and mentor client-side engineering teams on maintaining the new, automated deployment pipelines.
System Reliability: Ensure that integrated solutions are not just functional but production-ready, focusing on scalability, security, and the seamless flow of data between the app layer and the data lake.

Principal-Level Engineering: 10+ years of experience in software engineering with a "builder first" mindset. You must be highly proficient in Python (FastAPI) and React.
Deployment Mastery: Deep, hands-on expertise in Containerization (Docker) and Orchestration (Kubernetes). You should have a proven track record of taking a codebase from a local environment to a live, secured enterprise production state.
Data Fluency: Experience working with modern data platforms; familiarity with Databricks or similar large-scale data lake architectures is a significant advantage.
Consulting & Political Acumen: Experience in a boutique or consulting environment is preferred. You must have the "soft skills" to navigate a fast-paced, challenging environment and build consensus among stakeholders
AI-Ready Mindset: A passion for AI-driven development. You are excited by the prospect of using AI tools to accelerate the "boring" parts of coding so you can focus on high-value architectural orchestration.

Principal Software Engineer – AI Integration, Deployment

Key skills