Senior Autosys Engineer - Workload Automation
First seen by Alion on Oct 28, 2026.
Job Description :
The AutoSys Infrastructure Administrator is responsible for managing, maintaining, and modernizing AutoSys Workload Automation in a cloud-native environment using AWS and Kubernetes. This role focuses on building scalable, highly available scheduling infrastructure and integrating AutoSys with containerized and microservices-based platforms.
Role and Responsibilities :
AutoSys Administration :
- Install, configure, and maintain AutoSys components (Event Server, Scheduler, Agents, WCC)
- Manage job scheduling infrastructure across multiple environments (DEV, QA, PROD)
- Perform upgrades, patching, and configuration tuning
- Monitor jobs, logs, and system health; resolve failures proactively
- Implement high availability (HA) and disaster recovery (DR) strategies
AWS Cloud Management :
- Deploy and manage AutoSys infrastructure on AWS (EC2, EKS, S3, RDS, IAM, CloudWatch)
- Design and implement scalable and secure cloud architectures
- Configure networking (VPC, subnets, security groups, load balancers)
- Monitor and optimize cloud resource utilization and cost
- Implement backup and DR solutions using AWS services
Kubernetes & Containerization :
- Deploy and manage AutoSys agents or related workloads in Kubernetes (EKS)
- Containerize AutoSys-related services using Docker
- Manage Kubernetes clusters, namespaces, deployments, and services
- Implement auto-scaling, rolling deployments, and failover strategies
- Integrate with CI/CD pipelines for automated deployments
Mandatory Skills :
- Strong hands-on experience with AutoSys Workload Automation
- Experience managing AutoSys infrastructure (Event Server, Agents, WCC)
- Deep knowledge of AWS services (EC2, EKS, S3, IAM, VPC, RDS)
- Strong experience with Kubernetes (EKS preferred)
- Proficiency in Linux/Unix administration
- Strong scripting skills (Shell, Bash, Python)
- Knowledge of networking fundamentals
Key Deliverables :
- Highly available, scalable AutoSys platform on cloud
- Seamless integration with containerized workloads
- Automated infrastructure provisioning and deployment
- Secure and compliant infrastructure environment
- Reduced downtime and improved job success rates
Education : BE/ BTech / BSC / MCA / Any Graduation
Skills
DevOps, AWS, Kubernetes, Linux, Python, Shell Scripting, CI/CD, Unix, Autosys, IT Infrastructure Automation