Staff Software Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Software Engineer – Platform based in Spain.

As a Staff Software Engineer on the Platform team, you will define the long-term technical vision for a large-scale, event-driven streaming platform that powers real-time financial services. You will take ownership of the architecture, from the event backbone and shared client libraries to user-facing streaming infrastructure. Working primarily with Go and Redpanda, you will influence engineering standards, guide architectural decisions across teams, and help modernize systems through event-driven design. You will also contribute to authentication, developer experience, quality engineering, and AI-native development initiatives. This is a senior technical leadership role combining strategic direction, hands-on engineering, cross-functional collaboration, and mentorship in a globally distributed environment.

• Own platform architecture and technical strategy

  • Define the end-to-end architecture and two-to-three-year roadmap for the event streaming platform, including Redpanda, the UTS ecosystem, client libraries, and user-facing streaming services.

  • Lead the transition from batch-based processing to event-driven architectures across the organization, partnering closely with the teams responsible for individual systems.

  • Establish engineering standards for schema evolution, topic ownership, event replay, idempotency, backward compatibility, versioning, and deprecation.

• Build reliable, scalable real-time systems

  • Design and optimize streaming infrastructure to support high-volume client connections, connection fan-out, slow consumers, backpressure, message ordering, and delivery guarantees.

  • Anticipate and address complex failure scenarios, particularly during periods of high market volatility.

  • Own and evolve shared libraries and internal services used by multiple engineering teams.

• Influence security and platform-wide engineering

  • Help shape authentication and authorization architecture, particularly where identity management intersects with streaming subscriptions, long-lived connections, token lifecycles, and multi-tenant isolation.

  • Contribute to developer experience, quality assurance, and AI-native engineering initiatives, ensuring that platform schemas, contracts, and event streams support agent-driven development workflows.

  • Collaborate with Site Reliability Engineering on chaos testing and resilience exercises, and with QA teams on test tooling and pre-production release gates.

• Provide technical leadership and operational ownership

  • Drive architectural alignment across teams through technical proposals, design reviews, and influence rather than formal authority.

  • Mentor senior engineers, share expertise, and delegate meaningful technical work that supports the growth of others.

  • Participate in the platform on-call rotation and act as a technical lead during incidents affecting shared infrastructure.

  • Manage deployments and contribute hands-on across application code, infrastructure configuration, logs, metrics, and operational troubleshooting.

• Professional experience and technical expertise

  • At least 8 years of professional software engineering experience, including several years operating systems at significant scale.

  • Strong production-level expertise in Kafka or Redpanda, including partitioning, consumer groups, rebalancing, retention policies, delivery guarantees, and performance under load.

  • Experience delivering real-time data to clients at scale using technologies such as WebSockets, Server-Sent Events (SSE), or gRPC streaming, with a solid understanding of fan-out, backpressure, and slow-consumer management.

  • Proficiency in Go, or deep experience with another strongly typed programming language and the ability to become productive in Go quickly.

  • Experience building or maintaining shared libraries used across multiple teams, with a practical understanding of API stability, backward compatibility, versioning, and deprecation.

  • Solid experience with relational databases, including core database concepts applicable to PostgreSQL.

• Infrastructure, security, and operational skills

  • Strong Kubernetes knowledge beyond the basics, including the ability to write Helm charts and apply security