• Design, build, and operate backend services and data pipelines that power Spotify Rights Center • Partner closely with product, insights, design, and engineering peers to understand the needs of external rightsholders and internal partners • Deliver scalable, testable, maintainable backend systems with strong operational ownership • Help evolve the platform architecture as it expands to more licensors, territories, and content types, including shifts from batch processing toward event-driven patterns • Support timely delivery of technical solutions aligned to business needs • Contribute to modern engineering practices, including agile ways of working and healthy engineering standards • Integrate with Spotify’s broader content and moderation ecosystem as needed • Contribute to a healthy, collaborative team culture aligned to how we work together • Collaborate on product ideation with specialists, researchers, product managers, and subject-matter experts • Grow your skills through hands-on work, feedback, and learning opportunities (hack days, reading groups, internal courses)

• Design, build, and operate backend services and data pipelines that power Spotify Rights Center • Partner closely with product, insights, design, and engineering peers to understand the needs of external rightsholders and internal partners • Deliver scalable, testable, maintainable backend systems with strong operational ownership • Help evolve the platform architecture as it expands to more licensors, territories, and content types, including shifts from batch processing toward event-driven patterns • Support timely delivery of technical solutions aligned to business needs • Contribute to modern engineering practices, including agile ways of working and healthy engineering standards • Integrate with Spotify’s broader content and moderation ecosystem as needed • Contribute to a healthy, collaborative team culture aligned to how we work together • Collaborate on product ideation with specialists, researchers, product managers, and subject-matter experts • Grow your skills through hands-on work, feedback, and learning opportunities (hack days, reading groups, internal courses)

• Design, develop, and maintain robust and scalable web services for our core B2B SaaS application. • Write clean, high-quality, and well-tested code, primarily in Ruby and Go. • Architect and manage complex database schemas and queries using PostgreSQL. • Lead initiatives to research, prototype, and implement AI-powered tools to accelerate our software development lifecycle—from intelligent code completion and automated reviews to advanced CI/CD pipeline optimizations. • Collaborate closely with product managers, designers, and fellow engineers to translate complex user requirements into elegant, user-centric solutions. • Mentor other engineers, champion best practices, and contribute to a culture of technical excellence and continuous improvement.

Role Description We are seeking a highly skilled Mid-Level Java Engineer for a critical B2B contract. You will be a key developer building a new MCP (Model Context Protocol) Server for a leading global insurance company. This is a cutting-edge role. Instead of a traditional backend, you will be building the server-side implementation of the Model Context Protocol, a new open standard for AI. Your work will create the secure, standardized "tools" and "resources" that enable the company's proprietary AI agents to interact safely and effectively with live enterprise systems, databases, and APIs. If you are passionate about building the real-world plumbing that connects next-generation AI to enterprise data, this is the role for you. Qualifications - 3-5+ years of professional experience in Java development - Strong command of Java 11/17+ - Deep expertise in the Spring Framework (especially Spring Boot) - Experience with or strong understanding of reactive principles and frameworks (e.g. Spring WebFlux) - Proven experience in designing, building, and securing scalable RESTful APIs and microservices - Strong proficiency with SQL (e.g., PostgreSQL) or NoSQL databases - Experience with message brokers (e.g., Kafka, RabbitMQ) - Excellent communication skills - Discipline to work effectively in a remote, part-time, and independent B2B contract setting Requirements - Architect and develop a high-availability, scalable MCP Server using Java 17+ and Spring Boot - Utilize the Spring AI MCP integration (or the core Java SDK) to expose internal data sources (databases, filesystems) and business logic (APIs) as "tools" and "resources" for the AI agent - Define and implement the JSON-RPC 2.0 and Server-Sent Events (SSE)-based transport layer for the protocol (Spring WebFlux or WebMVC) - Create robust connectors (e.g., REST, gRPC, Kafka consumers) to wrap existing internal insurance systems, making them securely accessible to the MCP server - Work directly with the client's AI and data science teams to define the capabilities, schemas, and API contracts the AI agent needs to perform its tasks - Write clean, testable, and efficient code, ensuring the platform meets the high-security and reliability standards of the financial services industry Benefits - 100% Fully Remote - Contract: B2B, Full-time or Part-Time (from 15-20 hours/week) - Start Date: Immediate - Polish language required Nice to Haves - Direct experience with the Model Context Protocol (MCP) itself - Experience with Spring AI, LangChain, or other AI orchestration frameworks - Familiarity with the Azure cloud platform and containerization (Docker, Kubernetes) - Prior experience in the insurance or financial services industry