kingdesignstudio
Senior Python Backend Engineer
Salary
Job description
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
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Design and build scalable Python backend services and APIs for the Decision Automation Platform
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Develop systems that support decisioning use cases such as multi-armed bandits (MAB), contextual MABs, recommendations and experimentation
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Build and evolve platform capabilities for deploying, orchestrating, monitoring, and evaluating ML-driven decision workflows
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Integrate with Tensorflow
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Develop client tooling, SDKs, and internal APIs that improve how ML engineers and data scientists interact with the platform
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Collaborate with ML engineers, data scientists, and product teams to turn decisioning concepts into reliable production services
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Contribute to platform architecture and system design, with a focus on scalability, reliability, observability, and developer experience
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Take ownership of services end-to-end: design, implementation, deployment, operation, and continuous improvement
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Work with Kubernetes, GCP, and cloud-native systems where needed
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Participate in design discussions, technical planning, and cross-team initiatives
Who You Are
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You are a strong backend engineer with deep Python experience and a track record of building production systems
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You enjoy designing clean APIs, reliable services, and internal platforms that other engineers depend on
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You are interested in ML-driven products, decision automation, recommender systems, and experimentation platforms
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You are comfortable working with ML engineers and data scientists, translating technical and product needs into robust backend systems
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You understand distributed systems and care about reliability, observability, testing, and operational quality
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You are pragmatic and comfortable working across service boundaries, from backend APIs to cloud infrastructure when needed
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You enjoy collaborating across teams and driving work that spans multiple technical domains
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Experience with architectural decisions, technical leadership, or mentoring is a plus
Must-Have Skills
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Strong experience building backend services and APIs in Python
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Continuous learning mindset: Proactively keeps up to date with best practices and new innovations in the field we operate
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Strong experience in collaboration with Machine Learning Engineers, Data scientists and backend engineers from teams
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Solid understanding of software engineering best practices, including testing, CI/CD, observability, and maintainability
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Experience working with ML-related systems, decisioning systems, recommender systems, experimentation platforms, or similar production data-driven services
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Good understanding of machine learning concepts and how ML systems are deployed and operated in production
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Experience with containerized environments and Kubernetes
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Experience working with cloud platforms; GCP is a plus
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Experience with asynchronous, event-driven, or workflow-based systems
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Fluent English, with strong written and verbal communication skills
Nice-to-Have Skills
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Experience with multi-armed bandits, contextual bandits, online learning, or reinforcement-learning-inspired decision systems
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Experience with Java backend services
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Experience with other ML frameworks such as Pytorch or JAX in production environments
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Experience with model serving, feature pipelines, or online inference systems
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Exposure to ML platforms or tooling such as Vertex AI, MLflow, Dataproc, or similar
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Experience with infrastructure orchestration tools such as Terraform, Crossplane, or similar
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Experience working in multi-tenant platforms or environments with multiple cloud projects
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Experience designing and operating distributed systems in production
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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 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 game hits such as Farm Heroes Sag a. 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 , @lifeatking on Instagram, or @king_games on X.
