Top 3 Mainframe systems engineer Jobs in Andes, Ny

Sr. Mainframe Systems Programmer & Python Engineer
Vibotek LLC —United States
- Contract
- Computer Science
- Bachelor of Science
- System design
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Mainframe Engineer
Vibotek LLC —United States
- Contract
- Remote
- Mid-level
- US work authorization
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Mainframe Automation Engineer (IBM System Automation)
Vibotek LLC —United States
- Contract
- Remote
- 5 years
- Analysis skills
- Senior level
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Sr. Mainframe Systems Programmer & Python Engineer

Vibotek LLC
United States

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Job Details

Contract

Qualifications

Jira
Systems integration
Data replication
Data Integration (Data management)
Incident management
Ansible
RESTful API
DB2
Tooling
Query plan analysis
Incident management software
Spark
Data retrieval time improvement
Bash
SQL
ELK Stack
Pandas
Production systems
CICS
Spark implementation
Airflow
SRE
Distributed systems
Enterprise Integration
Mainframe
Incident response (Crisis management methodologies)
AWS Step Functions
COBOL
Mainframe development
ISPF

Full Job Description

Senior Python Engineer , Mainframe (DB2/JCL) Design & build Python on z/OS (USS): Develop CLI tools, services, and batch utilities that run natively on z/OS Unix System Services (USS) or orchestrate mainframe jobs from distributed hosts.

Batch orchestration: Create and maintain JCL (PROCs, symbolics, condition codes, GDGs) and integrate with enterprise schedulers (e.g., Control-M, CA-7). Implement robust restart/recovery and step-level error handling.

DB2 for z/OS engineering: Write and tune SQL; implement stored procedures; design schemas and indexes; use EXPLAIN, RUNSTATS, and utilities (LOAD/UNLOAD/REORG) to hit SLAs.

Python–DB2 integration: Connect via ibm_db/CLI/ODBC and optimize connection pooling, cursor usage, and transaction boundaries for high-throughput workloads.

Data processing pipelines (plus): Build high-volume ETL/ELT flows with Python (e.g., pandas, PyArrow, Dask) and efficient I/O (binary formats, streaming, chunking).

Job submission & automation: Submit and monitor jobs via SDSF, z/OSMF REST APIs, or Zowe CLI; parse JES output; automate handoffs and notifications.

Reliability & observability: Implement structured logging, metrics, and tracing; integrate with enterprise monitoring (e.g., Splunk, ELK).

Testing & CI/CD: Enforce unit/integration tests (pytest), code reviews, linting/type hints (flake8/ruff/mypy), packaging, and CI/CD (e.g., Jenkins, GitLab).

Security & compliance: Follow RACF/Top Secret/ACF2 controls, least privilege, and data governance for PII/PCI/SOX environments.

Mentorship & documentation: Coach engineers on Python + mainframe best practices; produce clear runbooks and architecture docs.

Required qualifications 8+ years professional Python (3.x) building reliable, performant production systems (CLIs, services, or batch).

Hands-on Python on the mainframe (must-have): Comfortable with z/OS USS, TSO/ISPF, SDSF, OMVS, dataset concepts (PS/PO, GDGs), code pages/EBCDIC vs ASCII, and file I/O nuances.

Mainframe DB2 expertise: Strong DB2 for z/OS (SQL tuning, indexing strategies, access paths, utilities, locking & concurrency).

Familiar with SPUFI, DSNTEP2, IBM Data Studio (or equivalents).

Deep JCL proficiency:

PROCs, symbolic parms, condition codes, dataset allocation, DFSORT/ICETOOL, IDCAMS, and common utilities; experience wiring JCL into enterprise schedulers.

Scripting & OS: Shell (sh/bash) on USS; comfort with dataset/file conversions, large file throughput, and job logs.

SDLC discipline: Git, trunk-based development, code reviews, tickets/change management (e.g., Jira/ServiceNow).

Excellent communicator with the ability to translate between mainframe, data, and app teams.

Data-processing Python: pandas, PyArrow, Dask;

memory/perf tuning for large datasets; binary formats (Parquet/Avro).

Automation toolchain:

Zowe CLI, z/OSMF REST, IBM Z Open Automation Utilities, Ansible for z/OS.

Integration: IBM MQ, CICS, Kafka/CDC (e.g., IBM Data Replication), REST/gRPC services bridging z/OS and distributed.

Performance engineering: SMF insights, buffer pool tuning (with DBAs), batch window optimization.

Refactoring legacy: Translating COBOL/PL/I batch logic to Python where appropriate; creating safe migration paths.

Distributed data engines: PySpark/Spark (for off-platform processing), Airflow.

Observability & SRE: SLA/SLO design, incident response for nightly/weekly batch cycles.

Tools & environment (illustrative) Mainframe: IBM z/OS 2.x, USS, TSO/ISPF, SDSF, RACF/Top Secret/ACF2 Data: DB2 12/13 for z/OS;

utilities (REORG/RUNSTATS/LOAD/UNLOAD) Python: 3.x, venv/poetry, ibm_db/ODBC, requests, pandas/PyArrow (as applicable)

Automation: Zowe CLI, z/OSMF APIs, Control-M/CA-7, Jenkins/GitLab CI Monitoring: Splunk/ELK, enterprise log aggregation Success metrics Batch SLAs consistently met; reduced average job elapsed time and rerun rates Measurable DB2 query/perf improvements (e.g., CPU, getpages, elapsed time) Increased automation coverage (job submission/monitoring, recovery) High test coverage and low change-failure rate across releases Education & certification BS/MS in CS, EE, or equivalent experience

IBM Certified Database Admin , DB2 for z/OS; IBM z/OS Associate/Professional; Control-M/CA-7 certifications

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mainframe systems engineer jobs in andes, ny

Sr. Mainframe Systems Programmer & Python Engineer

Mainframe Engineer

Mainframe Automation Engineer (IBM System Automation)

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