
10 000+ employés
Fondée en 1996
💼 Conseil
📣 Marketing
📦 Logistique
Consulting • Marketing • Logistics
Experian libère le pouvoir des données pour créer des opportunités pour les consommateurs, les entreprises et la société.\n\nLors des grands moments de la vie - que ce soit pour acheter une maison ou une voiture, envoyer un enfant à l'université, ou faire croître une entreprise de manière exponentielle en la connectant à de nouveaux clients - nous donnons aux consommateurs et à nos clients les moyens de gérer les données en toute confiance afin qu'ils puissent maximiser chaque opportunité.
🕒 il y a 1 mois
🏄 California – Distant
⏰ Temps Plein
🟠 Senior
🧑💻 Développeur Full-Stack
🦅 Parrain de Visa H1B
👻 Score fantôme 14%
🗣️🇺🇸🇬🇧 Anglais requis
🗣️🇧🇷🇵🇹 Portugais requis
AWS
Cloud
Docker
Grafana
Java
Jenkins
JUnit
Kubernetes
Mockito
MongoDB
MySQL
Oracle
Postgres
Spring
Spring Boot
SpringBoot
SQL
D'où vient cette offre
Publiée sur la page carrières de Experian, pas via un site d'emploi
Repérée par Remote Rocketship il y a 1 mois
Toujours ouverte sur le site de Experian. Vérifiée il y a 3 heures.

10 000+ employés
Fondée en 1996
💼 Conseil
📣 Marketing
📦 Logistique
Consulting • Marketing • Logistics
Experian libère le pouvoir des données pour créer des opportunités pour les consommateurs, les entreprises et la société.\n\nLors des grands moments de la vie - que ce soit pour acheter une maison ou une voiture, envoyer un enfant à l'université, ou faire croître une entreprise de manière exponentielle en la connectant à de nouveaux clients - nous donnons aux consommateurs et à nos clients les moyens de gérer les données en toute confiance afin qu'ils puissent maximiser chaque opportunité.
• Serve as the squad’s technical reference and the point person for demand flow, conducting technical triage, unblocking the team, and defining standards and quality criteria • Ensure technical consistency, quality, security, and maintainability across deliverables • Foster the team’s technical autonomy through documentation, delegation, and decision-making criteria • Ensure local decisions align with the architecture and platform • Provide the Tech Manager and PM with early visibility into technical risks and options • Lead AI adoption within the squad by applying AI-assisted engineering techniques and enabling the team • Drive service observability and monitoring, ensuring actionable logs, metrics, traces, and alerts • Lead technical discussions, guide implementations, and raise engineering standards • Review pull requests with a focus on risk, quality, and maintainability • Identify technical gaps and lead improvement plans through mentoring, pairing, and ongoing learning practices • Lead postmortems and preventive action plans • Connect technical needs with Product, Infrastructure, SRE, Data, and Architecture teams • Align risks, technical priorities, and team development with the Tech Manager and PM • Discuss decisions with system-wide impact with the Architecture team • Maintain consistency of standards, integration, and reuse with other Tech Leads • Participate in ceremonies, support decision-making, and resolve conflicts • Reduce deployment incidents, rework, rollbacks, and escaped bugs • Improve technical health, observability, adherence to platform standards, and AI-enabled productivity
• At least 5 years of experience in Software Architecture, with experience in backend, frontend, or data software development • Proficiency in Java 17+ with the Spring Framework (Spring Boot, Spring Data, Spring Batch) • Experience with microservices architecture and REST APIs • Knowledge of GenAI applied to products • Experience with Git • Knowledge of relational databases: SQL Server, Oracle, PostgreSQL, and MySQL • Knowledge of non-relational databases: MongoDB • Strong experience with Agile methodologies and technical refinement • Experience with cloud architecture, preferably AWS, including queues and storage • Experience with Docker and Kubernetes • Experience with JUnit and Mockito • Experience with Jenkins and CI/CD pipelines • Experience with Grafana, Kibana, and Datadog • Daily use of AI assistants, skills, and agents applied to coding, testing, and documentation • Ability to disseminate AI practices across the team • Ability to make decisions under uncertainty, articulate trade-offs, and take ownership of the outcomes of technical decisions • Experience with Clean Architecture is a plus • Experience with Domain-Driven Design and building reusable components is a plus • Advanced English proficiency is a plus
• Remote work • An inclusive, purpose-driven environment • Balance between career and personal commitments and interests • Strong focus on well-being • Outstanding opportunities and career paths • Certifications and external recognition, including Great Place To Work™ and Top Employers
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