We are currently hiring for our client who has more than 55 years of expertise and more than 500,000 employees across 6 continents, delivers General Information Technology, Consulting and Business Process Services, in Cognitive Computing, Hyper-automation, Robotics, Cloud, Analytics and Emerging Technologies for the international leading organizations across the world in diverse domains such as Aerospace and Defense, Capital Markets, Banking, Retail, Utilities, Platform and Software Products, Healthcare, Insurance, Oil and Gas and many others.
Position:
COBOL Developer
Location:
Madrid, Spain
Engagement:
Permanent Role
Mode of Work:
Hybrid, 40% working from home allowed
Work Schedule:
09:00-18:00 (including a 1-hour lunch break) and on-call
WHAT ARE WE LOOKING FOR?
- Years of experience: 5+ years of hands-on development experience in COBOL & DB2
- Spanish: C1/C2 & English: B2/C1
- Education: Minimum- Bachelor's Degree

Key Responsibilities /
Functional Skills:
- Provide application support and maintenance for a critical
Corporate Actions platform.




- Perform solution analysis and contribute to the design
and implementation of application enhancements.
- Develop and maintain applications using COBOL and DB2.
- Execute integration testing to validate system changes
and ensure successful deployments.
- Provide production support, troubleshooting issues and
resolving incidents in a timely manner.

WHAT CAN WE OFFER YOU?
- Permanent contract - We offer indefinite contracts from the first day.
- Pay and benefits - Competitive salary and a flexible compensation plan adapted to your needs (Ticket restaurant plan, Childcare Ticket, Transport Ticket and Health Insurance).
- Work from home - We offer you a financial support every month for your working from home expenses. In addition, in the first month we will give you a bonus to help you to set up your workplace
- Opportunity knocks - Being a part of a growing company, we want to support your path with a career development pla

📌 COBOL Developer (Madrid)
🏢 remoteo
📍 Madrid