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Experian

Venture capital arm funding data startups

Java Backend Developer 2

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timeSão Paulo, State of São Paulo, BrazilNo salary listedIn-person

About the Job

Requirements

  • Experience developing backend applications using Java.
  • Knowledge of object-oriented programming, good development practices, Clean Code, and SOLID principles.
  • Experience developing and consuming REST and/or GraphQL APIs.
  • Knowledge of relational and non-relational databases.
  • Experience with version control using Git.
  • Knowledge of continuous integration and continuous delivery (CI/CD) pipelines.
  • Knowledge of Docker and Kubernetes concepts.
  • Knowledge or experience with cloud computing, preferably AWS.
  • Experience with agile methodologies such as Scrum or Kanban.
  • Experience with unit testing and/or integration testing.
  • Familiarity with generative AI tools applied to software development, such as Cursor, Claude, or Copilot.
  • Interest in developing solutions that use AI agents and other artificial intelligence capabilities integrated with backend systems.
  • Ability to investigate technical problems and independently seek solutions.

Responsibilities

  • Develop, maintain, and evolve backend services using Java.
  • Build and integrate APIs and backend services.
  • Contribute to building, evolving, and integrating AI agents with existing systems.
  • Develop services and APIs that support intelligent agents, considering scalability, reliability, and security.
  • Use generative AI tools such as Cursor, Claude, Copilot, or similar tools to accelerate coding, support refactoring and continuous improvement, analyze legacy code, create and review tests, and produce and update technical documentation.
  • Participate in evolving and maintaining application architecture in accordance with the team's technical standards and direction.
  • Apply development practices such as Clean Code, SOLID, and design patterns.
  • Contribute to code quality through automated testing, code reviews, and analysis tools.
  • Identify and implement technical improvements to applications and services.
  • Collaborate with Product, Architecture, DevOps, and other areas to develop solutions aligned with business needs.
  • Develop new functionality and maintain and evolve existing solutions.
  • Investigate problems and implement medium-complexity fixes autonomously.
  • Analyze and reverse-engineer legacy systems to support modernization initiatives.
  • Contribute to AI-agent initiatives by developing backend logic, integrations, and supporting services.
  • Monitor and analyze application performance, proposing and implementing improvements.
  • Participate in the team's technical discussions and decisions.
  • Follow the organization's established architectural, security, and development standards.
  • Produce and maintain clear, up-to-date technical documentation.
  • Participate in code reviews to support the team's quality and technical development.
  • Find and evaluate tools and approaches that could improve delivery productivity and quality.

Desired Qualifications

  • Experience with monitoring and observability tools such as Datadog, Dynatrace, Splunk, or Grafana.
  • Knowledge of microservices architecture and distributed systems.
  • Knowledge of messaging and asynchronous processing.
  • Technical certifications related to AWS, Kubernetes, Java, or similar technologies.
  • Experience with application modernization or digital transformation projects.
  • Experience with reverse engineering and modernization of legacy systems.
  • Interest or experience applying generative AI across the software development lifecycle, including coding, code review, refactoring, testing, documentation, legacy-code analysis, and building and integrating intelligent agents.

About the Company

Experian

Venture capital arm funding data startups

Experian Ventures is the venture capital arm of Experian, a global information services company. It provides investment capital and strategic partnerships to startups, helping them grow by leveraging Experian's data assets, technology, and global network. The fund focuses on backing entrepreneurs who can disrupt data- and tech-driven markets, using Experian's platforms and reach to accelerate portfolio companies. Unlike standalone funds, it differentiates itself with access to Experian's scale, data resources, and worldwide offices, enabling closer collaboration and faster go-to-market support. The goal is to fund and mentor startups that can shape the future of information services while expanding Experian's ecosystem and influence across regions.

Company size
1-10
Company stage
Not listed
Total funding
$82M
Headquarters
Costa Mesa, CA
Founded
1995

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