Summary
✨ AI‑Generated
Join a technology engineering team building self-service cloud platforms, internal automation, REST APIs, and web services. You will write clean production-grade Python, primarily with Django and potentially FastAPI or Flask, while working with Azure, Terraform, and infrastructure-as-code practices. The role emphasizes autonomy, pragmatic communication, architectural quality, and continuous improvement of developer experience.
Highlights
Build production-grade cloud services and automation with strong engineering standards, high autonomy, and ownership of internal platform capabilities. The role offers exposure to cloud engineering, infrastructure automation, and AI-assisted development.
Description
Company Overview
This organization serves as the dedicated technology and digital innovation hub for a major global financial services enterprise, structured into specialized engineering sub-teams focused on Infrastructure as Code (IaC), Reliability, and Cloud Platforms.
Operating with an "infrastructure as software" philosophy, the company applies software engineering rigor-centered around Python, Microsoft Azure, Terraform Cloud, and AI-assisted agentic workflows-to design self-service platform tools and automation capabilities.
Fostering a culture of high autonomy, pragmatic communication, and strong architectural standards, engineers act as internal "Product Owners" for their capabilities to continuously improve developer experience and business ROI.
Job Scope
Software & Service Engineering (~80% Focus): Design, write, and maintain clean, production-grade Python code (primarily Django; FastAPI/Flask) to power cloud web services, REST APIs, and internal automation tools.
Cloud Architecture & IaC (~20% Focus): Architect and build scalable, resilient cloud platform services on Microsoft Azure (with secondary support on GCP) using Terraform Cloud.
AI Infrastructure & Agentic Workflows: Develop and integrate AI-assisted development tools, agentic workflows, chatbots, NPC servers, and custom skills to streamline engineering processes.
Platform Ownership: Act as an internal "Product Owner" for cloud capabilities, managing cloud platform services end-to-end-from design and execution to operations and continuous enhancement.
Cross-Team Collaboration: Partner with engineering and business stakeholders to translate business goals into clear technical specifications, driving self-service features and improving the overall developer experience.
Technical Qualifications
Experience: 5 to 10 years of software and cloud engineering experience.
Python Mastery: Proven expertise in building web development projects and REST APIs using Python (Django preferred; Flask or FastAPI accepted).
Cloud Engineering: Strong, hands-on experience with Microsoft Azure (GCP experience is a secondary plus).
Infrastructure as Code (IaC): Deep familiarity with Terraform and Terraform Cloud.
AI Infrastructure: Practical experience or research interest in AI-assisted development, agentic workflows, chatbots, NPC servers, and custom skills.
Modern Cloud Stack: Working knowledge of Kubernetes, internal developer platforms, and cloud/web service architecture.
