We are seeking a senior Systems Engineer with deep expertise in Control-M administration, workload automation, infrastructure operations, and enterprise scheduling environments. The role is responsible for designing, implementing, maintaining, and modernizing secure and resilient workload orchestration solutions across multi-environment infrastructure. The ideal candidate will have strong experience with Control-M, Linux/Unix, Windows Server, scripting, SQL, networking, and enterprise ITSM and monitoring tools. The position also contributes to automation-first initiatives, jobs-as-code, API-driven integration, and cloud-aligned scheduling capabilities.
Key Responsibilities
- Install, configure, upgrade, and patch Control-M Servers and Agents across multi-site environments, including on-premises and CoLo environments.
- Design, implement, and maintain job scheduling workflows, workload orchestration, and user and security configurations.
- Manage Control-M Configuration Manager and scheduling functions, including user management and platform administration.
- Conduct operational health checks, monitor system performance, and ensure alignment with enterprise standards and security requirements.
- Assess testing requirements, develop testing strategies, and prepare implementation and transition plans.
- Analyze and revise system logic, technical documentation, and engineering standards as needed.
- Troubleshoot and resolve complex hardware, software, operating system, and networking issues affecting scheduling infrastructure.
- Perform change and problem management using established ITSM processes and tools.
- Complete service requests, including Control-M Agent deployments and environment setup.
- Document issues, solutions, and workarounds in internal knowledge bases.
- Provide on-call support as required for 24x7 scheduling operations.
- Support Control-M Automation API, jobs-as-code adoption, workflow modernization, vendor enhancements, and enterprise integration initiatives.
- Provide engineering support for multi-environment workload orchestration and modernization initiatives.
- Contribute to modernization efforts involving resiliency engineering, cloud-aligned scheduling, and advanced automation capabilities.
- Lead complex technical engineering projects and coordinate technical resources as required.
- Train technical staff on Control-M tools, platform functionality, and engineering standards.
- Identify and communicate solution gaps, platform issues, and resiliency risks.
- Collaborate with business, infrastructure, security, and operations teams to support cross-functional initiatives.
- Participate in team meetings, issue reviews, prioritization, and continuous improvement activities.
- Apply risk management practices and comply with applicable internal standards, audit requirements, and information security policies.
Required Qualifications
- Bachelor's degree or equivalent professional experience.
- 6-9+ years of relevant experience in IT engineering, infrastructure operations, workload automation, or a related field.
- Comprehensive knowledge of Control-M administration, including Server and Agent installation and configuration, job scheduling and workflow design, user access and security, patch management, and upgrades.
- Experience with Control-M orchestration across multiple environments, including on-premises and CoLo environments.
- Strong hands-on experience administering Linux/Unix and Windows Server environments.
- Strong shell scripting experience using Bash and PowerShell.
- Experience with log analysis and troubleshooting.
- Strong SQL skills and basic database troubleshooting experience with PostgreSQL or Oracle.
- Understanding of networking fundamentals, including TCP/IP, ports, and firewall configuration.
- Experience with Control-M Configuration Manager and scheduling functions/user management.
- Familiarity with ITSM tools such as ServiceNow and Jira.
- Familiarity with monitoring and observability tools such as Splunk and Dynatrace.
- Strong documentation, root-cause analysis, troubleshooting, and problem-solving skills.
- Strong communication, interpersonal, collaboration, and attention-to-detail skills.
Preferred Qualifications
- Experience with Control-M Automation API, Workload Archiving, and Application Integrator.
- Advanced scripting experience with Python.
- Experience integrating scheduling platforms with CI/CD pipelines and Git-based workflows.
- Experience with infrastructure-as-code tools such as Ansible and Terraform.
- Exposure to AWS, Azure, GCP, or Control-M cloud deployments.
- Advanced SQL, database tuning, and performance optimization experience.
- Experience integrating security technologies, including SIEM tools, SSL, or Venafi.
- Experience working in Agile, SAFe, or scaled enterprise delivery environments.