Especialista I - Technical Lead

AI in this role

claudecursor

Experian is a global data and technology company that drives opportunities for people and businesses around the world. We operate across a wide range of markets, including financial services, healthcare, automotive, agribusiness, insurance, among others. Experian invests in people and advanced new technologies to unlock the power of data. We have an outstanding team of 25,200 employees across 32 countries.

Our uniqueness is valuing yours. Experian’s people-centered, inclusive, and purpose-driven culture has been recognized with numerous awards — including World’s Best Workplaces™ 2025 (Fortune’s global Top 25) and Great Place to Work™ in 26 countries, among others. Check out Experian Life on social media or explore our careers site to find out why. Experian is also proud to be an equal opportunity and affirmative action employer.

We are looking for a Technical Lead to act as a key technical leader in building and scaling Experian’s global DataHub platform. In this role, you will architect and deliver large‑scale distributed systems, drive full‑stack development, and collaborate with global teams to expand data integration capabilities. You will play a critical role in setting engineering standards, ensuring production excellence, and enabling Brazil to lead global DataHub initiatives.

🛠️ Your key responsibilities

Own end-to-end architecture and delivery of complex backend and platform solutions, ensuring scalability, reliability, and performance.
Design, build, and operate distributed systems using modern engineering practices and cloud-native technologies.
Drive technical leadership through architecture discussions, code reviews, and engineering best practices.
Collaborate closely with global stakeholders, including North America and KL DataHub teams, to expand integrations and data capabilities.
Lead incident resolution, postmortems, and continuous improvement of reliability and observability.
Promote high standards in testing (unit, integration, automation) and CI/CD pipelines with safe deployment practices.
Mentor and support engineers, strengthening technical skills and fostering knowledge sharing.
Contribute to inner-source initiatives and global engineering alignment, reducing duplication and improving reuse.
Ensure security-by-design principles and proactively address vulnerabilities and compliance requirements.
Drive full-stack delivery when needed (Java + Angular/React), ensuring high-quality user and platform experiences.

🎯 What we expect from you

Strong experience in backend engineering, distributed systems, or platform engineering.
Expertise in Java, Spring Boot, microservices, and distributed systems fundamentals.
Strong knowledge of system design, performance, scalability, and reliability.
Hands-on experience with AWS and container orchestration (Kubernetes/EKS or ECS).
Solid experience with testing practices (unit, integration, acceptance automation) and CI/CD pipelines (deployment, promotions, rollback strategies).
Familiarity with tools such as OpenAPI, Jenkins, SonarQube, and security scanning tools (e.g., Veracode or Checkmarx).
Experience with event-driven or data streaming patterns (e.g., Kafka or similar).
Strong software engineering fundamentals and security awareness.
Ability to provide technical leadership, mentor engineers, and influence architectural decisions.
Experience working in global, distributed environments, with strong collaboration skills.
Familiarity with modern engineering tools (e.g., draw.io or similar).
Adoption of an AI-native mindset, including usage of tools such as Cursor, Claude (or equivalent), MCP, and agentic engineering practices.
Advanced English proficiency is required.

⭐ Nice to have

Experience with full-stack development using Angular or React (TypeScript, components, API consumption).
Infrastructure as Code (IaC) and advanced AWS tuning.
Advanced use of AI or automation tools beyond the mandatory baseline.

At Serasa Experian, we believe that diversity is essential for a healthier and more innovative work environment, where everyone can share experiences and express their ideas. That’s why we promote several initiatives to support inclusive recruitment and the professional development of our people.

We also have our affinity groups, created to empower and support individuals from underrepresented groups: ExperianPride (LGBTQIAPN+ community), Ubuntu (racial equity), Women in Experian (gender equity), Aspire (people with disabilities), and Connecting Generations (generations).

Come be part of this transformation!

Experian Careers - Creating a better tomorrow together

Find out what its like to work for Experian by clicking here

How we rate this

Especialista I - Technical Lead at Experian rates 22 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

ClaudeCursor

Questions you could be asked

What's a project where you used Claude hands-on?
Walk me through how you've used Cursor in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Claude and Cursor. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.

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