You will be part of Experians Global Decisioning team, concentrating engineering, architecture and development of unified platform solutions, new product prototyping. We ask that you have hands-on technology and engineering background and execution in Java full stack, Agentic AI & cloud technology. Experience in Decisioning, workflow definition and execution. You will be reporting to a Vice President.
Qualifications
Required skills (Detailed skills requirement mentioned below)
- Hands-on Technical leadership role at Director level to build offshore presence for UNIFIED PLATFORM initiative.
- Hands-on technical leadership to India Decisioning Engineering teams and bring site leadership and support India team members for ESS Decisioning.
- Setup & Scale Engineering teams.
- Across multiple geographically spread teams and work collaboratively across Global & regional engineering & product te
- Masters degree in engineering, Data Science, Computer Science
- 15+ years of work experience in engineering, data science, and software development , architecrure space
- Experience with AWS cloud Infrastructure and tools is mandatory
- Proficient in Java full stack (Java, Python, Spark, or C++ are plusses)
- Work on the development of complex engineering solutions with complex engineering methods.
- Track record in modifying and applying advanced algorithms to address practical problems
- Accomplish projects from start to finish
- Familiarity with scripting languages and Linux / Unix environments
- Experience with Agile software development methodology specifically SAFE
- Expert to evaluate understand and interpret data.
- And analysis results both verbally and in writing to technical audiences.
- Experience in technology financial budget management and working with vendor resourcing models
Plusses:
- Experience with risk-based authentication, digital identity recognition, and online / mobile fraud analytics with large financial organizations
- Knowledge of natural language processing / text mining techniques and GenAI
Experience in Leadership :
- Strategic execution
- Team building and mentoring
- Project management and resource allocation
Technical Proficiency:
- Understanding of GenAI and Agentic AI, MCP Models.
- Expertise in cloud platforms (e.g., AWS, Azure, and Google Cloud)
- Proficient in containerization with Docker & Java full stack programming.
- Experience with container orchestration using Kubernetes
- Mastery of microservices architecture principles
Software Development:
- Java Full-stack development experience
- Proficiency in programming languages (e.g., Java, Python, Go)
- Understanding of software development best
- Understanding of software quality and security best practices
- Code review and version control (e.g., Git)
DevOps Practices:
Continuous Integration/Continuous Deployment (CI/CD) pipelines
Infrastructure as Code (IaC)
Automated testing strategies
Monitoring and logging tools
Security Knowledge:
Identity and access management (IAM)
Fraud detection and prevention strategies
Security best practices in cloud environments
Compliance and regulatory knowledge (e.g., GDPR, PCI-DSS)
Cloud Services:
Proficiency in cloud service offerings (e.g., AWS Lambda, Azure Functions)
Cloud infrastructure management and optimization
Scalability and high availability considerations
Container Orchestration:
Kubernetes deployment and management
Understanding of Helm charts
Container networking and service discovery
Microservices Architecture:
Design and implement microservices
API design and management
Service mesh technologies (e.g., Istio)
Collaboration and Communication:
With all kinds of partners
To a variety of audiences
Collaboration with teams