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Autosys Workload Automation Jobs (NOW HIRING)

New York Life

Hands-on experience with Stonebranch preferred, or another enterprise workload automation platform such as BMC Control-M, AutoSys, ESP, CA-7, IBM Workload Scheduler (TWS), Redwood RunMyJobs ...

Broadcom

Workload Automation Product Manager

Durham, NC

$123K - $198K/yr

Experience with distributed workload scheduling market - e.g., AutoSys, Automic - a plus. * Regular ... Automation team. Program Portfolio Management * Own Business Epics and Capabilities to define ...

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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 6, 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:
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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.
Technical Lead AutoSys Migration On-premise to AWS

Technical Lead AutoSys Migration On-premise to AWS

Staffingine LLC

Irvine, CA • On-site

Contractor

Posted 5 days ago

Job description

Job Title: Technical Lead AutoSys Migration On-premise to AWS
Job Location: Irvine, CA
Job Type: Contract

Job Description:

  1. Strategy Architecture Design and implement highly available scalable and secure AutoSys infrastructure in AWS
  2. Migration Execution Execute onpremise to AWS AutoSys migration including application servers database PostgreSQLOracle and client agents
  3. Configuration Optimization Configure AutoSys in the cloud to utilize AWSnative features migrate legacy job definitions into AWScompatible formats
  4. Automation Utilize AWS services eg AWS Lambda Terraform CloudFormation to automate the migration process and infrastructure provisioning
  5. Documentation Testing Prepare detailed technical specifications migration roadmaps and conduct rigorous testing to ensure zero disruption
  6. Mentorship Guide junior engineers and team members through the migration process

Required Technical Skills

  1. AutoSys Expertise 10 years of experience in AutoSys Workload Automation administration configuration and troubleshooting
  2. AWS Cloud Skills 3 years of experience with AWS services EC2 S3 RDS IAM VPC CloudFormation
  3. Migration Experience Proven track record of successful infrastructure migration from onpremise to AWS
  4. Scripting Proficiency in Bash Python or PowerShell
  5. Database Knowledge of SQL and experience with AWS database migration RDSPostgreSQL

Qualifications

  1. Bachelors degree in Computer Science or a related field
  2. Strong understanding of network security including VPN tunnels or Direct Connect
  3. Excellent communication and stakeholder management skills
  4. Preferred Qualifications
  5. AWS Certified Solutions Architect or similar certification
  6. Experience with containerization Kubernetes Docker in a cloud environment

Skills

Mandatory Skills : Mainframe Autosys and AWS