Senior Mainframe Engineer — Hybrid Onsite, Jersey City

NTT DATA, Inc.; Jersey City (NJ); Hybrid; USD 117,000 - 195,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) with company match

Paid time off

Life and AD&D insurance

Job summary

NTT DATA North America is seeking a Mainframe Engineer (Onsite Hybrid) to join our Jersey City team. The role focuses on technical leadership, architecture development, and ensuring high-scale processing capabilities in a complex data environment.

The position requires mentoring engineers, setting standards, and collaborating with operations to optimize performance while delivering reliable, scalable solutions.

Qualifications

• 8+ years on COBOL, DB2, VSAM and JCL.
• 5+ years CICS System knowledge would be valuable.

Responsibilities

• Provide thought & technical leadership for the key initiatives.
• Developing and maintaining architecture solutions on a platform dedicated to high scale processing of large amounts of data.
• Setting, communicating, and reinforcing technical standards
• Providing leadership for junior and senior engineers alike, by understanding how to leverage and enhance their current skills
• Assessing and researching current implementations of the platform and determining the course of action required to elevate the platform to meet customer needs.
• Working with Operations to plan major infrastructure upgrades, to troubleshoot issues and to tune the environment for optimal performance and uptime
• Collaborating with peers and management on process improvement ideas, policy and procedure enhancements, and opportunities to improve our customer's service experience.
• Participating in code review and unit testing and providing support on issues in non-prod or production

Skills

COBOL

DB2

VSAM

JCL

CICS

CICS DTR

File-Aid

Scheduler tools

Debugger tools

Job description

NTT DATA North America is seeking a Mainframe Engineer (Onsite Hybrid) to join our Jersey City team. The role focuses on technical leadership, architecture development, and ensuring high-scale processing capabilities in a complex data environment.

The position requires mentoring engineers, setting standards, and collaborating with operations to optimize performance while delivering reliable, scalable solutions.