Craft:
Technology & Development
Job Description:
We’re looking for a Senior Python Backend Engineer to join our Decision Automation Platform team, the group building the internal platform that enables automated, data-driven decisioning at scale across King.
This is a senior backend engineering role with a strong product-platform focus. You’ll help design and build Python services, APIs, orchestration layers, and client tooling that make it easy for teams to create, deploy, evaluate, and operate decisioning systems in production.
Our platform supports use cases such as recommendations, personalisation, experimentation, multi-armed bandits, contextual bandits, and model-driven decision workflows. The goal is to provide a reliable self-service platform that abstracts away operational complexity while giving ML engineers, data scientists, and product teams the tools they need to build intelligent decision systems safely and effectively.
You’ll work in a small, senior team with end-to-end ownership of the platform. While the role involves cloud-native systems and some infrastructure work, the main focus is backend service development: designing APIs, building scalable services, integrating ML and decisioning components, and evolving the platform architecture to support production-grade decision automation.
The platform is built in Python and Java and integrates with technologies such as TensorFlow, workflow systems, model serving infrastructure, Kubernetes, and GCP. You’ll collaborate closely with ML engineers, data scientists, game team developers and other platform teams to build systems that power decision automation across King.
What You’ll Do
Design and build scalable Python backend services and APIs for the Decision Automation Platform
Develop systems that support decisioning use cases such as multi-armed bandits (MAB), contextual MABs, recommendations and experimentation
Build and evolve platform capabilities for deploying, orchestrating, monitoring, and evaluating ML-driven decision workflows
Integrate with Tensorflow
Develop client tooling, SDKs, and internal APIs that improve how ML engineers and data scientists interact with the platform
Collaborate with ML engineers, data scientists, and product teams to turn decisioning concepts into reliable production services
Contribute to platform architecture and system design, with a focus on scalability, reliability, observability, and developer experience
Take ownership of services end-to-end: design, implementation, deployment, operation, and continuous improvement
Work with Kubernetes, GCP, and cloud-native systems where needed
Participate in design discussions, technical planning, and cross-team initiatives
Who You Are
You are a strong backend engineer with deep Python experience and a track record of building production systems
You enjoy designing clean APIs, reliable services, and internal platforms that other engineers depend on
You are interested in ML-driven products, decision automation, recommender systems, and experimentation platforms
You are comfortable working with ML engineers and data scientists, translating technical and product needs into robust backend systems
You understand distributed systems and care about reliability, observability, testing, and operational quality
You are pragmatic and comfortable working across service boundaries, from backend APIs to cloud infrastructure when needed
You enjoy collaborating across teams and driving work that spans multiple technical domains
Experience with architectural decisions, technical leadership, or mentoring is a plus
Must-Have Skills
Strong experience building backend services and APIs in Python
Continuous learning mindset: Proactively keeps up to date with best practices and new innovations in the field we operate
Strong experience in collaboration with Machine Learning Engineers, Data scientists and backend engineers from teams
Solid understanding of software engineering best practices, including testing, CI/CD, observability, and maintainability
Experience working with ML-related systems, decisioning systems, recommender systems, experimentation platforms, or similar production data-driven services
Good understanding of machine learning concepts and how ML systems are deployed and operated in production
Experience with containerized environments and Kubernetes
Experience working with cloud platforms; GCP is a plus
Experience with asynchronous, event-driven, or workflow-based systems
Fluent English, with strong written and verbal communication skills
Nice-to-Have Skills
Experience with multi-armed bandits, contextual bandits, online learning, or reinforcement-learning-inspired decision systems
Experience with Java backend services
Experience with other ML frameworks such as Pytorch or JAX in production environments
Experience with model serving, feature pipelines, or online inference systems
Exposure to ML platforms or tooling such as Vertex AI, MLflow, Dataproc, or similar
Experience with infrastructure orchestration tools such as Terraform, Crossplane, or similar
Experience working in multi-tenant platforms or environments with multiple cloud projects
Experience designing and operating distributed systems in production
Interest in improving developer experience and self-service platform capabilities
About King
With a mission of Making the World Playful, King is a leading interactive entertainment company for the mobile world with more than 20 years of history of delivering some of the world’s most iconic games in the mobile gaming industry, including the world-famous Candy Crush franchise, as well as other mobile titles such as Farm Heroes Saga. King games are played by more than 200 million monthly active users. King, part of Microsoft (NASDAQ: MSFT), has Kingsters in Stockholm, Malmö, London, Barcelona, Berlin, Dublin, San Francisco, New York, Los Angeles and Malta. More information can be found at King.com or by following us on LinkedIn and @lifeatking on Instagram.
