Senior Software Development Engineer - Creator

What you'll do

• Contribute to building a Generative AI-powered platform with modular capabilities and scalable agent workflows
• Design and build API-first modules with clear, well-versioned contracts for internal and external consumers
• Increase modularity and decoupling of services by defining clean boundaries, shared libraries, and reusable components
• Evolve existing services towards a composable architecture using domain-driven design and event/message-driven patterns
• Improve reliability, observability, and performance of services (logging, tracing, metrics, dashboards, SLOs, capacity and incident management)
• Collaborate closely with ML/Fullstack engineers and product teams to design APIs and data contracts
• Drive API-first development practices including design reviews, documentation, and testing strategies
• Contribute to technical direction on service decomposition, dependency management, security, and privacy-by-design
• Participate in the full development lifecycle: ideation, design, implementation, code review, deployment, and production follow-up

Requirements

• Bachelor’s/Master’s degree in Computer Science, Engineering, or equivalent experience
• Solid experience building backend services or APIs in production in at least one mainstream language (Java, Scala, Kotlin, Go, Python, C#)
• Comfortable with API design (REST/gRPC/GraphQL or similar), including versioning, backward compatibility, and documentation
• Experience with service-oriented or microservice architectures
• Familiarity with modern infrastructure (containers, Kubernetes, CI/CD pipelines, cloud or large-scale distributed systems)
• Strong focus on code quality and reliability: testing, observability, monitoring, and gradual rollouts
• Ability to collaborate in a cross-functional environment and communicate technical trade-offs to non-specialists
• Comfortable working in an international, multi-cultural team, communicating in English (spoken and written)
• Nice to have: experience building platforms or shared services consumed by multiple product teams
• Nice to have: exposure to ML-driven or data-intensive systems and interest in partnering with ML engineers
• Nice to have: experience with event-driven architectures (Kafka, Pub/Sub) and asynchronous workflows
• Nice to have: familiarity with API governance and security best practices (authentication/authorization, secrets management, rate limiting)

Tech stack

Benefits