Python Developer

Company Overview

King operates games at a massive scale, serving hundreds of millions of players around the world. Behind every player experience is a large ecosystem of services, data platforms, forecasting systems, and internal tools that help teams make better decisions, move faster, and deliver exceptional experiences. King is part of Microsoft and is committed to making the world playful.

Role Overview

The developer will help design, build, and operate backend services, internal applications, and data-driven platforms that support critical business and product decisions. This role combines backend engineering, distributed systems, cloud-native development, and data-intensive applications. Responsibilities include collaborating with software engineers, data scientists, analysts, product managers, and business stakeholders to build scalable solutions that transform complex data into actionable insights, as well as integrating platforms with the broader King and Microsoft ecosystems.

Responsibilities

• Design, develop, and maintain backend services and APIs using Python.
• Build scalable and reliable applications that support forecasting, analytics, and decision-making processes across the business.
• Develop distributed processing pipelines and asynchronous workloads.
• Design and optimize relational OLTP databases, data models, and query performance.
• Build and maintain data processing, analytical, and forecasting workflows.
• Design, develop, and maintain internal web applications when required.
• Build intuitive interfaces and workflows that enable technical and non-technical users to interact with backend systems and business tools.
• Integrate services with the King and Microsoft ecosystems, including identity, collaboration, communication, and productivity platforms.
• Develop and maintain APIs and connectors that enable interoperability between internal and external systems.
• Deploy, monitor, and operate containerized applications in cloud-native environments.
• Contribute to technical designs, architectural discussions, and engineering best practices.
• Improve system reliability, observability, performance, and operational excellence.
• Deliver high-quality, well-tested, maintainable code.
• Participate in code reviews and knowledge-sharing initiatives across teams.
• Support CI/CD pipelines and automation practices throughout the software development lifecycle.

Skills and Qualifications

• Strong Python development experience in production environments.
• Experience building backend services and APIs.
• Understanding of modern web application development and the ability to contribute across the stack when needed.
• Solid understanding of asynchronous programming, concurrency, and distributed systems.
• Experience designing and optimizing relational databases.
• Experience building data-intensive applications and processing large datasets.
• Experience with background processing, job orchestration, or distributed workloads.
• Experience deploying and operating applications in containerized and cloud-native environments.
• Familiarity with CI/CD practices and automation pipelines.
• Strong testing, debugging, and problem-solving skills.
• Strong communication and collaboration skills.
• Ability to work effectively in cross-functional teams.
• High sense of code quality and the desire to build and maintain robust, reliable software.
• Curiosity and adaptability when learning new technologies and domains.

Technology Stack

• Languages & Frameworks: Python, FastAPI, Django
• Frontend/UI: HTMX, TypeScript
• Data & Databases: PostgreSQL, Pandas, NumPy, SciPy
• Infrastructure & Tools: Celery, Docker, Kubernetes, Drone CI

Bonus Qualifications

• Experience building forecasting, optimization, simulation, or analytics platforms.
• Experience with Google Cloud Platform or other major cloud providers.
• Experience integrating with Microsoft technologies and services such as Microsoft Entra ID (Azure AD), Microsoft Graph, Teams, SharePoint, or related enterprise platforms.
• Experience building internal developer platforms, business applications, or workflow automation solutions.
• Experience working with large-scale data processing systems.
• Familiarity with observability and monitoring tools such as Grafana or Sentry.
• Experience improving application performance and scalability in production environments.