Senior Software Engineer at PlayStation Global

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

24 Dec, 25

Salary

0.0

Posted On

25 Sep, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, TypeScript, Machine Learning, Data Engineering, AI Middleware, Cloud Platforms, Kubernetes, Docker, Infrastructure as Code, Observability, Security, Governance, Data Pipelines, Workflow Orchestration, Microservices, Collaboration

Industry

Entertainment Providers

Description

Why PlayStation? PlayStation isn’t just the Best Place to Play — it’s also the Best Place to Work. Today, we’re recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation®5, PlayStation®4, PlayStation®VR, PlayStation®Plus, acclaimed PlayStation software titles from PlayStation Studios, and more. PlayStation also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation, technology, and play to explore our open positions and join our growing global team. The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Group Corporation. Sony Interactive Entertainment is looking for a Senior Software Engineer to join our team. You will be a part of an entirely new team getting formed with a laser focus of building an AI Middleware for the enterprise. You’ll collaborate closely with other dedicated Software developers, ML engineers and Integration specialists to deliver this platform. For those who excel at navigating intricate, fast-moving projects, overcoming tough technical hurdles, and staying at the forefront of modern web development trends, this opportunity is a perfect fit. Plus, you’ll be part of a vibrant PlayStation culture that values innovation, creativity, and—of course—having fun shaping the future of interactive entertainment. If you’re ready to join a team that drives innovation and builds experiences enjoyed by players around the world, this is the challenge you’ve been waiting for! Key Responsibilities Build and Operate AI Middleware: Implement, and manage Model Context Protocol (MCP) servers, gateways, and API wrappers that securely expose enterprise systems, tools, and data for AI agent consumption. Build and Govern Agentic Workflows: Deploy and extend agentic AI platforms (e.g., LangGraph, LangChain) to deliver resilient orchestration, enforcing governance, tracing, audit logs, and human-in-the-loop controls. Develop Enterprise Data & Context Pipelines: Build scalable pipelines for parsing, cleaning, embedding, and storing structured and unstructured enterprise data (text, code, multimedia) to enable retrieval-augmented generation and domain-specific agent knowledge. Productize and Optimize AI Services: Translate prototypes into production-grade microservices (Python/TypeScript, Kubernetes, CI/CD), optimizing for latency, throughput, resilience, and token/cost efficiency. Ensure Security, Compliance, and Reliability: Engineer AI middleware and workflows that meet enterprise standards for safety, governance, compliance, and fault tolerance, with built-in monitoring, telemetry, and automated evaluation harnesses. Partner multi-functionally with architects, platform teams, and product owners to deliver business-aligned AI solutions, while staying at the forefront of emerging LLM and middleware trends. Qualifications 6+ years of software engineering experience, including approximately 2 years working on ML, data, or LLM-focused systems. Proficiency in Python or TypeScript (ideally both) with strong software-engineering fundamentals (testing, design patterns, observability, performance tuning). Practical knowledge of ML/GenAI concepts: embeddings, vector search, prompt engineering, fine-tuning, and evaluation metrics. Solid understanding of workflow orchestration frameworks for LLM/GenAI pipelines. Hands-on experience with data-pipeline tooling and batch/stream ETL. Solid understanding of cloud platforms (AWS preferred), containerization (Docker, Kubernetes), and infrastructure-as-code (Terraform, CDK). Excellent communication skills and a proven ability to collaborate across teams in a fast-paced environment. Domain Expertise LLM tooling: LangChain, LangGraph, LlamaIndex, Hugging Face Transformers, OpenAI or Anthropic APIs Data stores: Postgres, DynamoDB, Redis, and vector databases such as Pinecone, Weaviate, FAISS Observability: distributed tracing, metrics dashboards, cost monitoring for token-based services Security & Responsible AI: PII redaction, content-safety filters, bias evaluation Bonus: proficiency in Go, experience with multimodal or edge inference, contributions to GenAI open-source projects Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. PlayStation is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Responsibilities

The Senior Software Engineer will build and operate AI middleware, implementing and managing servers and gateways for enterprise systems. They will also develop scalable data pipelines and productize AI services into production-grade microservices.