Mainframe Developer + Python

Coforge; Dadri, Greater Noida, Gurugram District; On-site; INR 3,000,000 - 5,200,000; Full time

Job summary

Coforge in India seeks an experienced Senior Developer/Lead to drive the conversion of legacy SAS programs on IBM z/OS to Python, SQL, and COBOL. This is a hands-on technical leadership role combining mainframe expertise with team guidance in a large-scale modernization program for financial services workloads.

You will mentor developers, review AI-assisted conversions, ensure output parity, and coordinate with SMEs and architecture teams for sign-off and production cutovers.

Qualifications

• 8–12+ years of mainframe development with SAS expertise.
• Strong IBM z/OS, JCL, and batch processing knowledge.
• Experience with AI-assisted or automated code conversion preferred.

Responsibilities

• Lead SAS to Python/SQL/COBOL conversion for mainframe programs.
• Review AI-generated code and ensure accuracy and standards.
• Mentor conversion developers and manage milestones.
• Collaborate with SMEs, data owners, and architects for sign-off.
• Support production cutover and validation activities.
• Document reusable patterns and accelerators.

Skills

SAS programming

Mainframe JCL

Python scripting

COBOL/SQL

Team leadership

Stakeholder comms

Tools

IBM z/OS

JCL

Cosmos AI accelerator

Unix/Linux shell

Job description

We are seeking an experienced Senior Developer / Lead to drive the conversion of legacy SAS programs running on an IBM z/OS mainframe to modern target languages (Python, SQL, COBOL) as part of a large-scale SAS decoupling initiative. This is a hands‑on technical leadership role combining deep mainframe and SAS expertise with the ability to guide a team through AI-assisted conversion, manual remediation, and production cutover of mission‑critical financial services workloads.

Key Responsibilities

• Lead the analysis, classification, and conversion of SAS programs (Inline SAS and Called SAS) and associated JCLs from the IBM z/OS mainframe to Python, SQL, or COBOL.
• Review and validate AI‑generated code conversions produced by the Cosmos AI accelerator platform, ensuring functional accuracy and adherence to coding standards.
• Establish and maintain Python execution within the mainframe Unix System Services (USS) environment, including integration with JCL‑triggered batch processes.
• Perform deep‑dive analysis of complex SAS programs, including macro logic, PROC SQL, and statistical procedures, to determine the optimal target language and conversion approach.
• Identify and document dependencies between JCLs and SAS programs, including cases where a single SAS program is called by multiple JCLs.
• Flag and appropriately route SAS programs with dependencies on systems also targeted for decommissioning (e.g., TIW), avoiding rework against deprecated targets.
• Design and execute unit testing and output parity validation, comparing converted program output against the original SAS baseline.
• Mentor and provide technical direction to a team of conversion developers; review code, resolve technical blockers, and ensure delivery quality across the conversion factory.
• Collaborate with Thrivent SMEs, data owners, and architecture teams to validate business logic and secure sign‑off on converted programs.
• Support production cutover activities, including parallel run validation, defect triage, and go‑live readiness assessments.
• Contribute to documentation of conversion patterns, reusable accelerators, and lessons learned to improve factory throughput over time.

Required Skills & Experience

• 8?12+ years of experience in mainframe development, with strong hands‑on expertise in SAS (Base SAS, SAS macros, PROC SQL, DATA step programming).
• Strong working knowledge of IBM z/OS, JCL, and mainframe batch processing concepts.
• Proficiency in Python for data engineering or scripting use cases; experience running Python in a Unix/Linux shell environment (z/OS USS experience strongly preferred).
• Working knowledge of COBOL and SQL, with the ability to evaluate and recommend appropriate target languages based on program complexity and logic patterns.
• Experience with legacy‑to‑modern code conversion or migration projects, ideally involving AI‑assisted or automated code generation tools.
• Strong understanding of data validation and reconciliation methodologies for migration projects (output parity, row-count validation, business‑rule testing).
• Demonstrated ability to lead or mentor a technical team in a fast‑paced, milestone‑driven delivery environment.
• Excellent communication skills, with experience engaging directly with client architects, SMEs, and business stakeholders.
• Experience in financial services or other regulated industries is highly preferred.

Preferred / Nice-to-Have

• Prior experience with SAS‑to‑Python or SAS‑to‑Spark conversion tooling or accelerators.
• Familiarity with cloud data platforms (AWS, Databricks, Snowflake) for downstream modernization context.
• Exposure to DB2 on mainframe and related data access patterns.
• Prior consulting or IT services delivery experience, particularly within large enterprise modernization programs.