System Administrator

Role : System Administrator

Remote

Design & Build : Create and maintain job definitions, job streams, calendars, variable tables, prompts, and restart logic; enforce naming / versioning standards.

Operate & Recover : Monitor via DWC dashboards / critical path, triage failures, analyze return codes, implement preventive fixes, and document runbooks.

Event-Driven Scheduling : Implement file / message / RC-based triggers, dependencies, and what-if analyses for late / missing upstreams.

Automation & Integration : Use IWS CLI / REST, Shell / Python / PowerShell to automate deployments, checks, and reporting; integrate with ServiceNow / Jira for change & incident.

Migrations / Upgrades : Plan and execute upgrades (e.g., 9.x 10.x), agent deployments / patching, backups, DR testing, and rollback plans.

Governance & Reporting : Produce weekly SLA / MTTR / failure trend reports; ensure controls for audit / compliance (access, approvals, segregation).

Collaboration : Partner with app / DB / infra teams for onboarding, cutovers, and performance tuning; mentor L1 / L2 and promote best practices.

Must-Have Qualifications

8+ years hands-on with IWS / IBM Workload Automation (aka TWS) on distributed platforms and daily use of DWC.

Strong command of job vs job stream design, calendars (holidays / exceptions / offsets), dependencies, prompts, and idempotent recovery.

Proven SLA monitoring and incident management via DWC (critical path, what-if, dashboards).

Scripting proficiency (Shell / Python / PowerShell), using CLI / REST for automation; Git familiarity.

OS fundamentals on Linux / Windows; comfort with networks, agents, and service accounts.

Experience with change management and production controls (approvals, evidence, CAB, backout).

Nice-to-Have

Cross-platform exposure (z / OS), scheduler DB basics (DB2 / Oracle), LDAP / SSO for DWC.

Integration with CI / CD pipelines and observability (logs / metrics).

Familiarity with other schedulers (Stonebranch / JAMS / Control-M / Autosys) and conversion projects.

Knowledge of data platform workflows (ETL / ELT), and cloud schedulers (Azure Data Factory, Databricks jobs) and how they align with IWS.

Success Metrics (KPIs)

SLA breaches :

MTTR : 30 50% for failed jobs within 90 days

Automated recovery coverage : quarter over quarter

Change success rate : >

98% with zero audit findings

Tools & Environment

IWS / IBM Workload Automation, Dynamic Workload Console (DWC), IWS CLI / REST

Linux / Windows, Git, ServiceNow / Jira / Confluence, Bash / Python / PowerShell

DB touchpoints : DB2 / Oracle / PostgreSQL (read-only ops / reporting)

Soft Skills

Clear incident communication, stakeholder management, and crisp documentation.

Bias toward automation, standardization, and measurable improvements.

Ability to mentor, influence, and hold the line on production hygiene.

Education / Certs

Bachelor's in CS / IT (or equivalent experience).

IBM Workload Automation certifications a plus.