Software Engineering Team Lead (Data Enrichment)

SEON is the leading fraud prevention system of record catching fraud before it happens at any point across the customer journey. Trusted by over 5000 global companies we combine your companys data with our proprietary real-time signals to deliver actionable fraud insights tailored to your business outcomes. We deliver the fastest time to value in the market through a single API call enabling quick and seamless onboarding and integration. By analyzing billions of transactions weve prevented $200 billion in fraudulent activities showcasing why the worlds most innovative companies choose SEON.

As a Software Engineering Team Lead (Data Enrichment Backend Team) you will lead a team of backend engineers responsible for building scaling and modernizing SEONs data collection systems. You will play a key role in driving the continuous design and development while managing team performance mentoring engineers and ensuring timely high-quality delivery. Your responsibilities will span technical leadership delivery ownership and close collaboration with Product Management and Engineering Management to support the teams growth and effectiveness.

This role reports into the Engineering Manager of Data Enrichment.

This role offers flexibility and is based in our Budapest office with a hybrid schedule of being in the office approximately three days per week.

What Youll Do:

• Lead coach and support a team of backend engineers working on SEONs Data Enrichment services.
• Provide regular feedback mentorship and career development support to team members in close collaboration with the Engineering Manager.
• Set clear expectations align team priorities and foster a culture of ownership and continuous improvement.
• Facilitate onboarding knowledge sharing and skills development within the team.
• Guide the team in designing and building scalable resilient backend systems using Java and Spring framework.
• Lead design reviews architecture discussions and technology evaluations.
• Encourage and enforce best practices around code quality testing performance and security.
• Ensure reliable delivery of features improvements and technical initiatives aligned with roadmap goals.
• Coordinate planning backlog grooming and definition of done in collaboration with Product Managers and the Engineering Manager.
• Identify and mitigate risks or blockers that affect delivery timelines or team velocity.
• Track engineering KPIs and proactively address areas for improvement.
• Serve as the teams primary technical representative in cross-functional planning and prioritization.
• Partner with Product Management to clarify requirements scope initiatives and align on priorities.
• Collaborate with other engineering teams to resolve dependencies and share architectural vision.
• Ensure clear open and structured communication within and beyond the team.
• Ensure the teams systems are well-instrumented observable and supported by alerting and diagnostics.
• Lead and coordinate responses to production issues and post-incident reviews.
• Drive efforts to improve system reliability maintainability and operational efficiency.
  

What You Bring:

• 5 years of backend engineering experience with at least 12 years in a technical or team leadership role.
• Strong expertise in Java (preferably Java 17) and Spring framework (Spring Boot Spring MVC etc.).
• Proven experience delivering scalable production-grade backend systems and APIs.
• Solid understanding of distributed systems performance optimization and microservices.
• Familiarity with SQL/NoSQL databases CI/CD pipelines and containerized environments.
• Strong communication skills and a collaborative empathetic leadership style and fluency in English (written and spoken).

Amazing if You Also Have:

• Working knowledge of Python 3.9 or openness to learning it for legacy system understanding.
• Experience with web crawling scraping systems or data ingestion pipelines.
• Familiarity with monitoring tools distributed tracing and AWS/Kubernetes infrastructure.
• Experience leading teams through large-scale refactoring platform migrations or tech transformations.