Company Description
Experian is a global data and technology company that empowers people and businesses around the world to thrive. We operate in many markets, including financial services, healthcare, automotive, agribusiness, insurance, and more. Experian invests in people and in cutting-edge technologies to unlock the power of data. We have an incredible team of 25,200 employees in 32 countries.
Our uniqueness lies in valuing yours. Experian's culture, which is people-centred, inclusive, and purpose-driven, has been recognised with several awards, including World's Best Workplaces™ 2025 (Fortune Global Top 25) and Great Place To Work™ in 26 countries, among others. Follow Experian Life on social media or explore our careers site to find out why. Experian is also proud to be an employer that promotes equal opportunity and affirmative action.
Job Description
Job description
Job Description
We are evolving our BU from a model centred on isolated products to an architecture of platforms and reusable components, which supports critical solutions used by major banks, cooperatives, and companies across many sectors.
In this context, we are looking for a Tech Lead Specialist to be the technical reference for a software development squad. This person will have the autonomy to decide and prioritise the technical implementations that enter the downstream and will be responsible for creating the conditions for the squad to perform: with quality, predictability, and autonomy in its own deliveries.
We are looking for an AI Native profile, someone who already uses artificial intelligence in their daily engineering work, applies these techniques in the squad's development cycle, and empowers the team to do the same, with real productivity gains and without compromising quality or security.
Main Responsibilities:
- Be the technical reference for the squad and the demand flow: technical triage, unblocking the team, standards, and quality;
- Maintain the technical coherence of what the squad delivers: standards, quality, security, and maintainability;
- Promote the team's technical autonomy: document, delegate, and create criteria so the team can make good decisions without depending on you;
- Ensure that local decisions respect the architecture and the platform, or challenge them consciously, with technical rationale;
- Provide visibility of risks and technical options to the Tech Manager and PM in advance, before they become problems;
- Lead the adoption of AI in the squad: learn, apply, and train the team in AI-assisted engineering techniques;
- Work on observability and monitoring of services, ensuring minimum instrumentation (logs, metrics, and traces) and actionable alerts;
- Channel your dissatisfaction with underperforming processes into effective changes within the team and the company.
What a Day Looks Like:
- Lead technical discussions, guide implementation, and raise the engineering standard of the team day to day;
- Review PRs with a focus on risk, quality, and maintainability, and train the team to reduce their dependence on you;
- Map the team's technical gaps and lead a practical development plan: mentoring, pairing, and learning routines;
- Conduct postmortems and map out the preventive action plan, with owners and deadlines defined;
- Connect the squad's technical needs with partner areas: Product, Infra, SRE, Data, and Architecture;
- Continuously align risks, technical priorities, and team development with the squad's Tech Manager and PM;
- Discuss with Architecture decisions with systemic impact (integration, data, security, scalability) and bring operational feedback into the evolution of the platform;
- Maintain consistency of standards, integration, and reuse together with the other Tech Leads;
- Take part in team ceremonies and discussions, supporting decision-making and conflict resolution.
Expected Results:
- Reduction in incidents caused by deployments and in the recurrence of the same type of failure;
- Increased quality: less rework, lower rollback rate, and lower bug leakage;
- Improved technical health: controlled technical debt, with a plan and continuous execution;
- Consistent observability: services with minimum dashboards and alerts, and SLOs defined where applicable;
- Team development: less dependence on the Tech Lead for day-to-day decisions, with more good decisions made by the group;
- Adherence to platform standards: reused building blocks and more predictable integrations;
- Measurable productivity gains from adopting AI in the development cycle.
Qualifications and Requirements:
- Minimum of 5 years' experience in Software Architecture: hands-on experience with software development, whether backend, frontend, or data;
- Expertise in Programming Languages: Java 17+ with Spring Framework (Spring Boot, Spring Data, Spring Batch) and REST API microservices architecture;
- GenAI applied to products;
- Version Control: experience with Git;
- Databases: knowledge of relational databases (SQL Server, Oracle, PostgreSQL, MySQL) and non-relational databases (MongoDB);
- Agile Methodologies: solid experience in agile methodologies and technical refinement;
- Cloud Architecture: experience with cloud architecture (preferably AWS), including practices for using queues and storage;
- Containerization: experience with Docker and Kubernetes;
- Unit Testing: experience with JUnit and Mockito;
- CI/CD Pipeline: experience with Jenkins;
- Monitoring: experience with tools such as Grafana, Kibana, and DataDog;
- AI Native profile: everyday use of AI assistants, skills, and agents applied to code, testing, and documentation, with the ability to spread these practices across the team;
- Autonomy and critical judgement: ability to make decisions under uncertainty, make trade-offs explicit, and take ownership of the results of technical decisions;
- Desirable: experience with clean architecture;
- Desirable: Domain-Driven Design, building reusable components.
- Desirable: Advanced English
Qualifications
Qualifications
- TechLead
- Java
- SpringBoot
- Microservices
- AWS
- AI Native
Additional Information
Serasa Experian is much more than you might imagine. With the purpose of creating a better future by expanding opportunities for people and businesses, in Brazil we are more than 4,000 people working across many teams and specialties. Here, every skill and diversity complements the others, 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 commitments and personal 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 recognised externally through various market certifications: we have been awarded by Great Place To Work™ in 24 countries and the international Top Employers certification, and we are recognised as one of the best companies for young professionals, with 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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