Director - Software Engineering

Job description

You will be part of Experian's 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
• Master's 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

Learning:

Willingness to stay updated on latest technologies

To changing our requirements

Learn mindset

Troubleshooting:

Troubleshoot complex issues in distributed systems

Root cause analysis and resolution

Vendor Management:

Experience working with third-party vendors and tools

Evaluation and selection of technology solutions