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Autosys Workload Automation Jobs (NOW HIRING)

SRI Tech Solutions

MongoDB Admin

Plano, TX · On-site

Scripting (Shell/Python/Perl), Batch Scheduling (Autosys/Quartz/Airflow) POSITION_SUMMARY ... Monitored system performance and conducted capacity planning to support growing workloads.

Staffingine LLC

DevOps Consultant

Albany, NY · On-site

Experience with automation tools and scripting languages * Knowledge of containerization and ... IBM Tivoli Workload Scheduler * IIS Server, Java, JavaScript, * JBoss, * Jenkins * Jira Service ...

Morgan Stanley

Scala - Spark Developer

New York, NY

$90K - $150K/yr

... workloads on Databricks and Snowflake as the core data platform. The selected candidate will work ... Develop automation utilities and operational controls using Python * Work with datasets stored in ...

Morgan Stanley

Scala - Spark Developer

New York, NY · On-site

$90K - $150K/yr

... workloads on Databricks and Snowflake as the core data platform. The selected candidate will work ... Develop automation utilities and operational controls using Python * Work with datasets stored in ...

Wipro Limited

LEAD ADMINISTRATOR L1

Plano, TX · On-site

$60K - $135K/yr

... automation using Python and shell scripting. Adopt at optimizing database performance, ensuring ... Scripting (Shell/Python/Perl), Batch Scheduling (Autosys/Quartz/Airflow) REQUIRED_SKILL:

Wipro Limited

LEAD ADMINISTRATOR L1

Plano, TX · On-site

$60K - $135K/yr

... automation using Python and shell scripting. Adopt at optimizing database performance, ensuring ... Scripting (Shell/Python/Perl), Batch Scheduling (Autosys/Quartz/Airflow) REQUIRED_SKILL:

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Autosys Workload Automation information

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$31K

$116.6K

$169.5K

How much do autosys workload automation jobs pay per year?

As of Jun 7, 2026, the average yearly pay for autosys workload automation in the United States is $116,607.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,500.00 and $139,000.00 per year, depending on experience, location, and employer.

What is the difference between Autosys Workload Automation vs Job Scheduler?

FeatureAutosys Workload AutomationJob Scheduler
Primary UseAutomating and managing complex batch workflowsScheduling individual or simple batch jobs
ComplexityHandles complex dependencies and workflowsTypically simpler, focusing on basic scheduling
EnvironmentEnterprise-level, large-scale data centersSmall to medium-sized environments
CredentialsRequires specialized knowledge of workload automationBasic understanding of scheduling tools

Autosys Workload Automation is designed for managing complex workflows in enterprise environments, while Job Scheduler is more suited for straightforward job scheduling. Both tools are used in data centers but differ in complexity and scope.

What are some common challenges faced when managing Autosys Workload Automation in a large enterprise environment?

One of the primary challenges is coordinating and maintaining complex job dependencies across multiple systems and applications, which can lead to increased troubleshooting and monitoring efforts. Large enterprises often have numerous scheduled jobs, making it essential to ensure accurate configuration and timely execution without conflicts. Additionally, Autosys administrators need to stay vigilant about system performance, security patches, and version upgrades to prevent downtime or failures. Effective communication and collaboration with development, operations, and support teams are also crucial for quickly resolving issues and implementing changes.

What is Autosys Workload Automation?

Autosys Workload Automation is an enterprise-level job scheduling and automation tool used to manage, monitor, and schedule jobs across different platforms and applications. It helps organizations automate complex IT processes by allowing users to define and control workflows, dependencies, and job execution times. Autosys supports a range of job types, including scripts, batch processes, and database tasks, making it a versatile solution for automating routine and critical business operations. Its centralized management and alerting features improve operational efficiency and reduce the risk of manual errors.

What are the key skills and qualifications needed to thrive as an Autosys Workload Automation Specialist, and why are they important?

To thrive as an Autosys Workload Automation Specialist, you need expertise in job scheduling, workflow management, and scripting languages, often supported by a degree in computer science or a related field. Familiarity with the Autosys tool, UNIX/Linux operating systems, and experience with related automation or monitoring platforms is typically required. Strong analytical thinking, attention to detail, and effective communication are crucial soft skills for troubleshooting and collaborating with cross-functional teams. These abilities are essential for ensuring reliable, efficient, and error-free automation of critical enterprise workloads.
More about Autosys Workload Automation jobs
What cities are hiring for Autosys Workload Automation jobs? Cities with the most Autosys Workload Automation job openings:
What states have the most Autosys Workload Automation jobs? States with the most job openings for Autosys Workload Automation jobs include:
What job categories do people searching Autosys Workload Automation jobs look for? The top searched job categories for Autosys Workload Automation jobs are:
Autosys Workload Automation jobs near you
Infographic showing various Autosys Workload Automation job openings in the United States as of May 2026, with employment types broken down into 7% Internship, 2% As Needed, 5% Full Time, 64% Part Time, 17% Temporary, and 5% Nights. Highlights an 82% Physical, 6% Hybrid, and 12% Remote job distribution, with an average salary of $116,607 per year, or $56.1 per hour.

Systems Operations Engineer (Prod Support and Monitoring & Observability tools) - Only W2

Saransh Inc

Dallas, TX • On-site

Contractor

Posted 9 days ago

Job description

Role: Systems Operations Engineer (Prod Support and Monitoring & Observability tools)
Location: Dallas Metro, TX (Onsite/Hybrid)
Job Type: W2 Contract

Experience Required: 5+ yrs
 
Skill Set:
  • TMF AIOps
  • AutoSys - CAx
  • Splunk
  • Oracle DB Admin
  • SQL Server
  • AppDynamics Analytics
  • Grafana
  • Prometheus
  • Unix Linux Commands
 
Top skills required for this role:
1. Prod Support specific SQL and DB, Autosys,
2. Shell scripting, Linux command line operations
3. Observability tools (AppDynamics, Grafana, Splunk, Prometheus, ITRS)
Tech Skills primary:
Excellent with SQL queries, DB usage & understanding (Oracle), Linux commands, Shell scripts, Autosys, Working knowledge of Observability tools such as Splunk, Grafana, Prometheus, AppDynamics, Production support tools.
 
Role:
Finance applications Production support involving upstream and downstream data pipelines queries, follow-ups on systems, Linux based commands check, Observability tools-based incident fixes & avoidance, Batch processing, Openshift workloads support, Data private cloud support.
PRIOR BANKING CLIENT EXPERIENCE IS A HUGE PLUS.
Expectations for this role:
• Work on complex, broad impact initiatives / projects / issues and provide high level systems consultation to technology teams.
• Review , analyze and work on complex technical challenges and escalated production issues, evaluating multiple factors such as potential design alternatives, platform enhancements, periodic system reviews, and opportunities for operational improvement.
• Make decisions on technical changes, system enhancements, and architectural adjustments.
• Consult with engineering teams on change design, applying deep knowledge of process controls, operational standards, and technology governance to guide new initiatives.
• Collaborate with technical peers, cross functional partners, and leadership to resolve systems support issues and drive operational excellence.
• Leverage AI enhanced observability, anomaly detection, and intelligent alerting tools to improve root cause analysis, reduce noise, and optimize system performance.
• Utilize AI assisted based troubleshooting tools, and automation frameworks to streamline incident resolution and operational workflows.
• Incorporate predictive analytics and AIOps insights into planning, capacity management, and continuous improvement efforts.
Qualifications:
• 5+ years of Systems Engineering or Technology Architecture experience.
• 5+ years of application production support experience.
• 5+ years of experience in IT infrastructure product and service control management, including policies and standards, business readiness, exceptions management, or alignment with enterprise compliance and risk frameworks.
• 5+ years of experience working with SQL Server, Oracle, MySQL, Unix, Autosys, ITRS, and AppDynamics.
• Hands on experience with AI driven monitoring, AIOps platforms integrated into production support environments.
• Experience utilizing generative AI or LLM based tools to assist with diagnostics, system pattern analysis, documentation, or triage workflows.
• An industry standard technology certification.
• Knowledge and understanding of test driven development practices.
• Experience designing or developing training materials for complex technology systems, including those in Agile development settings.
• Financial accounting tool experience is a plus.