Brazil
VTEX
Experian
Tech Lead Specialist
Brazil
São Paulo, São Paulo, Brazil
JavaSQLPostgreSQLAWSDockerKubernetes
Automatic translation. Check the original.
Company Description
Experian is a global data and technology company that powers opportunities for people and businesses around the world. We operate in diverse markets, such as financial services, healthcare, automotive, agribusiness, insurance, and others. Experian invests in people and new advanced technologies to unlock the power of data. We have an incredible team of 25.200 employees in 32 countries.
Our uniqueness is valuing yours. The Experian culture, which is people-centered, inclusive, and purpose-driven, is recognized by various awards—including World’s Best Workplaces™ 2025 (Fortune’s Top 25 globally) 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
We are evolving our business unit from a model centered on isolated products to an architecture of platforms and reusable components that supports critical solutions used by major banks, cooperatives, and companies across 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 daily engineering work, applies these techniques in the squad's development cycle, and empowers the team to do the same, with real productivity gains without compromising quality and security.
Key Responsibilities
- Act as 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 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: know, apply, and train the team in AI-assisted engineering techniques.
- Work on observability and service monitoring, ensuring minimum instrumentation (logs, metrics, and traces) and actionable alerts.
- Channel your non-conformity with non-performing processes to promote effective changes in the team and the company.
Decisions under your responsibility
- Technical delivery trade-offs: architecture, design, standards, and technical debt versus speed, always with transparency regarding impact.
- Quality strategy: definition of done criteria, testing levels, PR gates, and definition of acceptable technical risks.
- Technical backlog priority—hardening, refactors, and observability—within the team's capacity.
- Minimum standards for observability and reliability: logs, metrics, tracing, and hardening priorities.
- Incident approach and prevention: root cause analysis, structural actions, and executed follow-up.
- Adoption of standards and building blocks defined by architecture, or proposal of exceptions with technical justification and mitigation plan.
- Where and how to apply AI in the development cycle, with quality, security, and intellectual property guardrails.
What the day-to-day will look like
- Lead technical discussions, guide implementation, and raise the team's engineering standard on a daily basis.
- Review PRs with a focus 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, Infrastructure, SRE, Data, and Architecture.
- Continuously align risks, technical priorities, and team development with the squad's Tech Manager and PM.
- Discuss systemic impact decisions (integration, data, security, scalability) with Architecture and bring operational feedback to the platform's evolution.
- Maintain consistency of standards, integration, and reuse in conjunction 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 lower 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: decreased 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 gain with the adoption of AI in the development cycle.
Qualifications
- 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.
- Experience in Software Architecture: background in software development, whether backend, frontend, or data.
- Proficiency in Programming Languages: Java 17+ with Spring Framework (Spring Boot, Spring Data, Spring Batch) and API REST microservices architecture.
- Domain-Driven Design, construction of reusable components, and 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 Testing: experience with JUnit and Mockito.
- CI/CD Pipeline: experience with Jenkins.
- Monitoring: experience with tools such as Grafana, Kibana, and DataDog.
- Autonomy and critical thinking: ability to decide under uncertainty, explain trade-offs, and take ownership of technical decisions.
- Desirable: experience in clean architecture. Qualifications. Qualifications. TechLead. Java. SpringBoot. Microservices. AWS. AI Native.
Additional Information
Serasa Experian is much more than you imagine. With the purpose of creating a better future by expanding opportunities for people and businesses, in Brazil we are more than 4 thousand people working in diverse teams and specialties. Here, every piece of knowledge 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 very dedicated 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 recognized externally 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 rating of 4,6 on Glassdoor. Each recognition indicates that we are on the right path, providing an increasingly better work environment for our talent.
Experian Careers - Creating a better tomorrow together
Find out what its like to work for Experian by clicking here
Contract Type: Regular
Work Model: Home
Department: Technology
Work Period: Full Time
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