Company Description
Experian is a global data and technology company that empowers people and businesses around the world. We operate in many markets, such as financial services, healthcare, automotive, agribusiness, insurance, among others. Experian invests in people and in new advanced technologies to unlock the power of data. We have an amazing team of 25,200 employees in 32 countries.
Our uniqueness is valuing yours. Experian's culture, centered on people, inclusive and driven by purpose, is recognized by various awards — including World's Best Workplaces™ 2025 (Fortune 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 understand why. Experian is also proud to be an employer that promotes equal opportunity and affirmative action.
Job Description
Job Description
You will work on the development and evolution of the backend core of the unified SDK, being responsible for the services that receive, process and correlate security, integrity and fraud signals coming from the capture layers. Your role is to transform raw data into actionable intelligence, issuing reliability decisions that determine whether validation flows continue or are blocked.
You participate in building highly scalable, resilient and observable platforms, capable of operating in mission-critical environments and high transaction volumes. You work in partnership with Architecture, Security, Platform and Engineering teams to ensure that services meet performance, availability and protection requirements against new threats.
You also actively contribute to the evolution of digital fraud detection mechanisms, device compromise, channel integrity and risk analysis, responding quickly to new attack vectors identified in production and supporting the continuous evolution of the SDK.
Main Responsibilities
- Develop and maintain critical microservices responsible for processing and correlating security, fraud and integrity signals from the SDK.
- Implement reliability assessment mechanisms based on indicators of device compromise, session integrity and digital injection detection.
- Design and develop scalable solutions using Go, with a focus on high performance and concurrent processing.
- Ensure the reliability, availability and observability of services through metrics, logs, traces and continuous monitoring.
- Participate in defining and evolving the microservices architecture and integration standards between systems.
- Develop secure and efficient APIs for communication between SDKs, anti-fraud platforms and corporate services.
- Implement security controls related to authentication, authorization, encryption and channel protection.
- Take part in the investigation and mitigation of incidents related to fraud, security and platform stability.
- Participate in CI/CD processes, deployment, monitoring and support of production environments.
- Contribute to code reviews, definition of best practices and the evolution of technical engineering quality.
Qualifications
- Completed higher education in Computer Science, Software Engineering, Information Systems or related fields.
- Solid experience developing backend applications using Go (Golang).
- Advanced knowledge of concurrent programming, parallelism and performance optimization.
- Experience with distributed microservices architecture.
- Knowledge of inter-service communication using REST APIs, gRPC and messaging.
- Experience with observability, monitoring, centralized logging and distributed tracing.
- Knowledge of containers and orchestration using Docker and Kubernetes.
- Experience with CI/CD pipelines and deployment automation.
- Knowledge of backend application security, authentication, authorization, encryption and API protection.
- Experience with relational and non-relational databases.
- Experience working in high-availability environments and high-volume processing.
Desirable Qualifications
- Experience with fraud prevention, digital identity or authentication products.
- Knowledge of device fingerprinting and device compromise detection.
- Experience with real-time event processing.
- Knowledge of event-driven architectures.
- Experience with Kafka, RabbitMQ or similar messaging platforms.
- Knowledge of site reliability engineering (SRE).
- Experience with cloud environments (AWS, Azure or GCP).
- Knowledge of behavioral analytics, transactional fraud or risk decision engines.
- Experience with DevSecOps practices.
Behavioral Competencies
- Strong analytical capacity and systems thinking.
- Ability to solve complex technical problems with ease.
- Collaborative, results-oriented profile.
- Sense of ownership and technical leadership.
- Ability to make data-driven decisions.
- Excellent communication for interacting with multidisciplinary teams.
- Ongoing interest in innovation, digital security and technological evolution.
Additional Information
Serasa Experian is much more than you imagine. With the purpose of creating a better future, expanding opportunities for people and businesses, in Brazil we are more than 4,000 people working in various teams and specialties. Here, every skill and diversity complements each other and you can work on what you love most. We are committed to building an inclusive culture and an environment where people can balance their careers with their personal commitments and interests, valuing well-being.
We are deeply committed to being one of the best and most innovative companies to work for in the country, enabling incredible experiences and careers for our people. Our strong people-first approach is externally recognized through various market certifications: we were awarded by Great Place To Work™ in 24 countries and by the international Top Employers certification, and we are recognized as one of the best companies for young professionals and have a 4.6 rating on Glassdoor. Each recognition tells us we are on the right path, providing an increasingly better work environment for our talent.
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