Brazil
C6 Bank
Experian
Tech Lead Specialist
Brazil
São Paulo, São Paulo, Brazil
JavaSQLPostgreSQLAWSDockerKubernetes
Automatic translation. Check the original.
Company Description
A Experian is a global data and technology company that drives opportunities for people and businesses around the world. We operate in various markets, such as 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 incredible team of 25.200 employees in 32 countries.
Our uniqueness is valuing yours. Experian's culture, people-centered, inclusive, and purpose-driven, is recognized by several awards — including World’s Best Workplaces™ 2025 (Fortune’s Top 25 global) 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 equal opportunity and affirmative action employer.
Job Description
Job description
Job description
Qualifications
Qualifications
TechLead
Java
SpringBoot
Microservices
AWS
AI Native
Find out what its like to work for Experian by clicking here
Employee Status: Regular
Role Type: Home
Department: Technology
Schedule: Full Time
Additional Information
We are evolving our BU from a model focused on isolated products to an architecture of reusable platforms and components, which supports critical solutions used by large banks, cooperatives, and companies from various segments.
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 prioritize 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 their own deliveries.
We are looking for an AI Native profile — someone who already uses artificial intelligence in their engineering day-to-day, 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 and security.
Serasa Experian is much more than you imagine. With the purpose of creating a better future, expanding opportunities for people and companies, in Brazil we are more than 4 thousand people working in various teams and specialties. Here, every knowledge and diversity complements each other, and you can work in 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, prioritizing well-being.
We dedicate ourselves greatly 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, in addition to being recognized as one of the best companies for young professionals and having a 4,6 rating on Glassdoor. Each recognition indicates that we are on the right path, providing an ever-better work environment for our talents.
Experian Careers - Creating a better tomorrow together
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 for the team to make good decisions without depending on you;
- Ensure that local decisions respect the architecture and platform — or consciously challenge them, 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: know, apply, and train the team in AI-assisted engineering techniques;
- Act on service observability and monitoring, ensuring minimum instrumentation (logs, metrics, and traces) and actionable alerts;
- Channel your nonconformity with non-performant processes to promote effective changes in the team and the company.
What the Day-to-Day Will Be Like
- Lead technical discussions, guide implementation, and elevate the team's engineering standard in daily work;
- Review PRs focusing on risk, quality, and maintainability — and train the team to reduce dependency on you;
- Map the team's technical gaps and conduct a practical evolution plan: mentoring, pairing, and learning routines;
- Conduct postmortems and map the preventive action plan, with defined owners and deadlines;
- 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 decisions with systemic impact (integration, data, security, scalability) with Architecture and bring operational feedback for platform evolution;
- Maintain consistency of standards, integration, and reuse together with other Tech Leads;
- Participate in team ceremonies and discussions, supporting decision-making and conflict resolution.
Expected Results
- Reduction of incidents originating from deployments and the recurrence of the same type of failure;
- Increased quality: less rework, lower rollback rate, and less bug leakage;
- Improved technical health: controlled technical debt, with a plan and continuous execution;
- Consistent observability: services with minimum dashboards and alerts, and defined SLOs where applicable;
- Team evolution: reduced dependency on the Tech Lead for day-to-day decisions, with more well-made decisions by the group;
- Adherence to platform standards: reused building blocks and more predictable integrations;
- Measurable productivity gains with the adoption of AI in the development cycle.
Qualifications and Requirements
- Minimum experience of 5 years in Software Architecture: experience with software development, whether backend, frontend, or data;
- Proficiency in Programming Languages: Java 17+ with Spring Framework (Spring Boot, Spring Data, Spring Batch) and microservices architecture API REST;
- GenAI applied to product;
- 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 Tests: experience with JUnit and Mockito;
- CI/CD Pipeline: experience with Jenkins;
- Monitoring: experience with tools like Grafana, Kibana, and DataDog;
- AI Native Profile: daily use of AI assistants, skills, and agents applied to code, tests, and documentation, with the ability to disseminate these practices within the team;
- Autonomy and critical thinking: ability to make decisions under uncertainty, articulate trade-offs, and take responsibility for the outcomes of technical decisions;
- Desirable: experience in clean architecture;
- Desirable: Domain-Driven Design, building reusable components.
- Desirable: Advanced English
More opportunities with one profile
Want to be considered for more roles without repeating the whole process? Create your profile and be found by companies using Nort.
Create my profile