Company OverviewThis 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
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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.
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Company OverviewThis 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.
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RM10,000 - RM15,000 per month, hybrid working arrangements
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About the RoleWe are hiring a Senior Python Developer with 5+ years of experience to lead backend development using Django. In addition to technical mastery, we need a strong communicator who can bridge the gap between engineering and non-technical stakeholders, articulate complex architectural decisions, and collaborate effortlessly across teams.Key ResponsibilitiesDesign, build, and maintain scalable backend systems using Django.Architect performant REST
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