Role Description You'll join the Messaging Platform team - the core of our product - working on the backend systems that power partner and client APIs, WhatsApp channel lifecycle, billing, integrations, and more. This isn't a ticket-grinding role. You'll own domains, shape architecture, and see the downstream impact of your decisions directly in production. We work in Python across services that need to be correct, observable, and maintainable - not just fast to ship. You'll work closely with a small, experienced team and a tech-first leadership that values deep understanding over surface-level velocity. - Deep Python, not wide Python - Backend systems experience - Domain ownership mentality - Structured thinking under complexity - Clear, calibrated communication - Self-awareness about skill vs. experience Qualifications - Deep understanding of Python down to the runtime model - async internals, memory, typing, packaging. - Experience with REST and async APIs, PostgreSQL (schema design, query performance), message queues, workers, and service-to-service integration. - Ability to take real responsibility for what you ship and understand the business context behind a feature. - Capability to break down ambiguous problems into scoped, risk-aware iterations. - Ability to write concise messages and adapt communication based on the audience. - Genuine curiosity and willingness to share knowledge. Requirements - Experience with WhatsApp Business Platform (nice to have). - Background in B2B SaaS or messaging/communication platforms (nice to have). - Familiarity with GCP, Cloud SQL, or similar managed infra setups (nice to have). Benefits - Opportunity to shape a whole new industry in Business Messaging. - Join a dynamic, innovative team with experienced entrepreneurs. - Daily opportunities to learn, grow, and push the boundaries of what's possible. - Work from anywhere in the world with full remote flexibility. - Competitive remuneration package that reflects your skills, experience, and achievements. Budget The budget range for this role is €40K/YEAR – €100K/YEAR, depending on the candidate’s level of experience and fit with the position requirements. Background Check Notice By submitting your application, you acknowledge and agree that 360Dialog may conduct a background check as part of the recruitment and selection process. This may include verification of your professional experience, educational background, and other relevant information necessary to assess your suitability for the role.

• Design, develop, and maintain MCP servers to expose tools and services for AI-driven applications using Python • Build and integrate backend services leveraging AWS serverless architectures • Develop and manage solutions on AWS Lambda, API Gateway, S3, EventBridge, and related services • Integrate MCP tools with various APIs, including strong focus on Workday APIs and other internal/third-party APIs • Connect with databases (SQL and NoSQL), file systems, and external systems such as SFTP • Implement secure authentication and authorization mechanisms such as OAuth2, JWT, and AWS IAM • Collaborate with teams to design event-driven systems using AWS EventBridge • Work hands-on with AWS Bedrock Agent Core or similar AI workflow engines to enable intelligent workflows • Ensure system scalability, reliability, performance, and observability via best practices in logging and monitoring • Collaborate cross-functionally throughout SDLC to deliver robust, maintainable backend systems

• Developing, testing and debugging software applications using Java. • Seeking and finding solutions to faced problems. • Participating in almost all software life cycle phases: from analysis, design, implementation and integration testing to quality assurance. • Understanding client requirements, analyzing, implementing new enhancements and fixing bugs. • Providing flexible software design that allows the application of change requests in a short time. • Writing documentation such as: user guides, technical documentation and design documents on Confluence. • Participating in the daily, weekly and monthly meetings.

• Build and enhance AI agents used by real customers every day • Design and improve agent runtimes, memory systems, tool orchestration, and evaluation frameworks • Develop integrations with platforms such as Salesforce, Stripe, HubSpot, Notion, QuickBooks, Shopify, and more • Build scalable backend services using Python and modern frontend experiences using TypeScript and React • Optimize infrastructure, reliability, performance, and cost efficiency • Ship production-ready features rapidly and continuously • Take ownership of technical decisions and product outcomes from concept to deployment