Software Engineering Director
Software Engineering Director
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Job Description
Job description
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 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
Qualifications :
Qualifications
- technical leadership
- Setup & Scale Engineering teams
- work collaboratively across Global & regional engineering teams
- Masters degree in engineering Data Science Computer Science
- 15 years of work experience in engineering
- Accomplish projects from start to finish
Additional Information :
Our uniqueness is that we celebrate yours. Experians culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI work/life balance development authenticity engagement collaboration wellness reward & recognition volunteering... the list goes on. Experians people first approach is award-winning; Great Place To Work in 24 countries FORTUNE Best Companies to work and Glassdoor Best Places to Work (globally 4.4 Stars) to name a few. Check out Experian Life on social or our Careers Site to understand why.
Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is a critical part of Experians DNA and practices and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work irrespective of their gender ethnicity religion color sexuality physical ability or age. If you have a disability or special need that requires accommodation please let us know at the earliest opportunity.
Experian Careers - Creating a better tomorrow together
Benefits
Experian care for employees work life balance health safety and wellbeing. To support this endeavor we offer the best family well-being benefits enhanced medical benefits and paid time off.
#LI-Hybrid
Experian Careers - Creating a better tomorrow together
Find out what its like to work for Experian by clicking here
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
