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Autosys Workload Automation Jobs in Washington, DC

Python Developer

Reston, VA ยท On-site

$52.25 - $72/hr

Developing, implementing, and supporting Workload Orchestration and Cloud automation experience ... This role involves supporting the target state architecture, transitioning from a legacy Autosys ...

Autosys Workload Automation information

See Washington, DC salary details

$35.1K

$132.1K

$192K

How much do autosys workload automation jobs pay per year?

As of Sep 8, 2026, the average yearly pay for autosys workload automation in Washington, DC is $132,069.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,600.00 and $157,400.00 per year, depending on experience, location, and employer.

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?

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.

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 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 the different types of jobs in Autosys Workload Automation?

In Autosys Workload Automation, jobs are categorized into types such as command jobs, file watcher jobs, box jobs, and external job types like Java or SAP jobs. Each job type serves different automation purposes, with command jobs executing scripts or commands, box jobs grouping multiple jobs, and external jobs integrating with other systems. Understanding these types helps in designing efficient job workflows and scheduling tasks effectively.

What are popular job titles related to Autosys Workload Automation jobs in Washington, DC?

For Autosys Workload Automation jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Autosys Workload Automation jobs in Washington, DC look for?

The top searched job categories for Autosys Workload Automation jobs in Washington, DC are:

Infographic showing various Autosys Workload Automation job openings in Washington, DC as of August 2026, with employment types broken down into 92% Full Time, 4% Part Time, and 4% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $132,069 per year, or $63.5 per hour.

Python Developer

Meta Force Technology Staffing LLC

Reston, VA โ€ข On-site

$52.25 - $72/hr

Contractor

Re-posted 15 days ago


Job description

JOB TITLE: Python Developer

LOCATION: Reston VA

            The client is only considering local candidates

DURATION: 1-Year Contract

W2 Only – [No C2C – No /OPT/CPT]  H1b Transfer is ok 

LINKEDIN Matching to the resume is mandatory for submissions.

Python development along with AWS experience, EventBridge and/or Airflow preferred.

Description:

              Development :

  • Python developer.
  • Proficient in api integration.
  • Experience in micro services architecture is helpful
  • Agile Scrum :
  • JIRA
  • Confluence
  • GitLab

Practical experience with AWS Native Resources such as :

  • Lambda
  • Batch
  • Step Functions
  • MWAA
  • EventBridge
  • CloudWatch
  • DynamoDB
  • EC2

Source control & CICD automation :

  • GitLab (git)
  • Terraform
  • Jenkins
  • Cloud Formation (CFT)

Other requirements :

  • Experience in highly resilient applications or infrastructure, utilizing multi-region Active/Active, or Active/Standy strategies.
  • Developing, implementing, and supporting Workload Orchestration and Cloud automation experience, providing shared service or infrastructure support to business applications is a plus.
  • Experience in financial, or similar, heavily regulated industries that are subject to SOX compliance is also desired.
  • Must be able to work with dynamic, business driven teams that have varying requirements.

Job Description

  • As a valued colleague on our team, you will collaborate with team in designing, producing, testing, or implementing moderately complex software, technology, or processes, as well as create and maintain IT architecture, large scale data stores, and cloud-based systems.
  • We are seeking a skilled and motivated Developer to join our Workflow Automation team in designing, developing, and implementing a modern job scheduling and orchestration solution.
  • This role involves supporting the target state architecture, transitioning from a legacy Autosys COTS product to AWS Native Services, including Managed Workflow for Apache Airflow, AWS Step Function, AWS Batch and AWS Event Bridge while also enhancing user experience through intuitive and efficient interfaces.
  • The ideal candidate will have a strong technical background in scheduling and orchestration products, experience in cloud-native technologies, front-end development to deliver seamless UX for end-users. 24/7 on-call Support is needed.

THE IMPACT YOU WILL MAKE

  • The Cloud Infrastructure - Software Engineering - Senior Associate role will offer you the flexibility to make each day your own, while working alongside people who care so that you can deliver on the following responsibilities:
  • Support testing, development and production operations (24/7 on-call) for the scheduling and orchestration platform.
  • Collaborate with stakeholders to understand requirements and create a target state architecture for job scheduling and orchestration.
  • Create error-handling mechanisms, monitoring solutions, and operational dashboards.
  • Develop reference implementations for Apache Airflow, AWS Step Function, AWS Event Bridge and Lambda.
  • Document use cases, system design, reference implementations/patterns and migration plans.
  • Conduct proof concepts and help customers with implementation.
  • Plan and execute the migration of Autosys jobs to AWS Native solutions.
  • Build and enhance user interfaces for the Workflow Automation products, ensuring a streamlined intuitive user experience.
  • Optimize workflows and UX designs for performance, usability, and scalability.

Qualifications

THE EXPERIENCE YOU BRING TO THE TEAM

Minimum Required Experiences

  • 7 years of experience
  • Proficiency in programming languages such as Python, Java, JavaScript, and Node.js.
  • Hands-on experience with AWS services, including Apache Airflow, AWS Step Function and AWS EventBridge.
  • Knowledge of Autosys and experience in migrating workflows to modern platforms.
  • Strong front-end development skills using frameworks like React.js, Angular, or Vue.js.
  • Familiarity with UX design principles, wireframing and usability testing.
  • Experience with API development and integration.
  • Familiarity with CI/CD pipelines and tools (e.g., Jenkins, AWS Code Pipeline, Gitlab).
  • Deep understanding of AWS architecture and best practices, including IAM, security policies, and serverless computing (AWS Lambda).

Desired Experiences

  • Bachelor degree or equivalent
  • Experience collaborating with designers to ensure consistency and usability.
  • Familiarity with accessibility standards and responsive design principles.
  • Ability to create user-friendly and visually appealing interfaces.
  • Experience in performance analysis and optimization of workflows and UIs.
  • Excellent interpersonal skills to work with technical and non-technical stakeholders.
  • Strong written and verbal communication skills for creating documentation and presenting solutions.
  • AWS Certified Developer
  • AWS Certified Solutions Architect is a plus
  • Knowledge of infrastructure-as-code tools such as Terraform or AWS