Staff Software Engineer - Market Data em Portugal

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 – Market Data based in Portugal. Join an innovative technology environment transforming how institutions access and understand blockchain and financial market data. In this senior individual contributor role, you will design and build a next-generation market data platform delivering reliable, real-time feeds and historical datasets to institutional customers. You will take technical ownership of distributed systems responsible for ingesting, processing, normalising, storing, and delivering high-quality data across multiple sources. Working at the intersection of backend engineering, streaming infrastructure, and financial data, you will help shape critical architectural decisions around performance, correctness, reliability, and scalability. You will also mentor engineers, influence technical direction across teams, and drive continuous improvements to production systems. In a remote-first, international engineering team, you will have the autonomy to solve complex challenges and use AI-assisted development to accelerate delivery while maintaining exceptional engineering standards. Accountabilities: - Design, develop, and operate distributed backend systems for ingesting, normalising, processing, storing, and delivering real-time market data from blockchain networks and other relevant financial data sources. - Build and maintain robust streaming infrastructure that handles event ordering, timestamps, duplicate records, replay, missing data, and recovery, including blockchain reorganisations and transaction finality where relevant. - Develop reliable client-facing data feeds and APIs with clearly defined delivery guarantees, evolving schemas, appropriate access controls, and predictable performance under heavy workloads or when consumers fall behind.

- Collaborate with cross-functional engineering teams to define and improve reference data models, historical data capture, and the integration of new data sources and capabilities. - Establish and continuously improve service-level objectives (SLOs) and data quality metrics, monitoring latency, freshness, completeness, and correctness across the platform. - Independently investigate production issues, conduct thorough root cause analyses, and implement durable fixes that improve system resilience, recovery, and operational efficiency. - Own services throughout their lifecycle, from technical design and implementation to deployment, monitoring, production support, and participation in the team's on-call rotation. - Integrate AI-assisted development tools throughout the engineering workflow, using them to explore architectural options, implement changes, generate tests, investigate failures, and improve documentation while maintaining strong technical oversight. - Develop repeatable AI-assisted engineering practices, share effective workflows with colleagues, and contribute to continuous improvements in development productivity and quality. - Lead technical decisions across team boundaries, document architectural proposals clearly, and help translate ambiguous requirements into pragmatic designs and production-ready solutions. - Mentor engineers through implementation, code reviews, and technical discussions, enabling the team to deliver complex projects with high standards of reliability and maintainability. Requirements: - Extensive experience building and operating distributed backend systems or data services with demanding reliability, scalability, and performance requirements, including the ability to diagnose failures across service and data boundaries. - Strong expertise in real-time streaming systems, including concurrency, state management, backpressure, event processing, and recovery mechanisms.