技术负责人专员
Tech Lead Specialist
#### 公司简介
Experian 是一家全球数据和技术公司，为世界各地的个人和企业创造机会。我们在多个市场运营，包括金融服务、医疗保健、汽车、农业、保险等。Experian 投资于人才和先进技术，以释放数据的潜力。我们在 32 个国家拥有 25,200 名员工。
我们的独特之处在于重视你的价值。Experian 的以人为本、包容和以目标为导向的文化获得了众多奖项——包括 2025 年世界最佳工作场所™（财富全球前 25 强）和在 26 个国家获得的“最佳工作场所™”等。在社交媒体上查看 Experian Life 或浏览我们的职业网站，了解原因。Experian 还自豪地成为平权雇佣者和积极行动雇佣者。
#### 职位描述
**职位描述**
我们正在将业务单元从以孤立产品为中心的模式转变为平台和可重用组件的架构，以支持大型银行、合作社和跨不同领域的公司使用的关键解决方案。
在此背景下，我们正在寻找一位技术主管专家，作为软件开发小组的技术参考。此人将有自主权决定和优先处理进入下游的技术实现，并负责为小组创造良好的工作条件：在交付过程中保证质量、可预测性和自主性。
我们寻找一位 AI 原生型人才——一位已经在日常工程工作中使用人工智能的人，能够将这些技术应用到小组的开发流程中，并赋能团队做到同样的事情，实现真正的生产力提升，同时不牺牲质量和安全。
**主要职责：**
- 作为小组和技术需求流的技术参考：技术评估、解除团队障碍、标准和质量；
- 保障小组交付的技术一致性——标准、质量、安全和可维护性；
- 推动团队的技术自主性：文档化、授权并建立标准，使团队能够在不依赖你的情况下做出良好决策；
- 确保本地决策符合架构和平台要求——或在有技术依据的情况下有意识地挑战它们；
- 提前向技术经理和项目经理提供风险和技术选项的可见性，防止问题发生；
- 领导 AI 在小组中的采用
查看英文原文
#### 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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