Overview

Job Purpose

The Manager, Systems Operations role - specific to the Automation group is responsible for leading and managing a team responsible for supporting and maintaining automation tools and solutions. This position will also have accountability into the overall Operations of various application platforms at ICE as well as internal workload automation tools. This position helps to set the direction and enforce standards, implement solutions, develop best practices and guide team numbers on automation efforts. You will collaborate closely with the Operations and SRE teams to implement automation changes, troubleshoot issues, and drive continuous improvement projects. Your expertise will help ensure the stability and performance of our infrastructure, enabling our customers to manage risk and make informed decisions globally.

Responsibilities

• Team Leadership: Lead a team of Engineers and Analysts, providing guidance mentoring, performance management. Foster a culture of continuous improvement.
• Process Improvement: Develop and refine processes that streamline workflows, reduce bottlenecks and increase overall velocity.
• Training and Support: Provide training and documentation to other team members on the effective use of existing toolsets and best practices. Act as primary point of contact for staff issues.
• Collaboration and Communication: Work closely with partner teams to understand their pain points and automation goals. Work with teams to make them more efficient.
• Continuous Improvement: Participate in or lead continuous improvement projects driven by automation.
• On-Call Rotation: Participate in an on-call rotation as needed.
• Additional Duties: Perform any other activities as directed by management.
  
  

Knowledge And Experience

• Experience: 5+ years of experience as a people manager or in a team lead role with delegation duties in a technical environment.
• Strategic Thinking: Demonstrate ability to think strategically about business and product goals as well as technical challenges and staff workloads.
• Software Development: Prior experience with software development, infrastructure development, or operations.
• Scripting Languages: Strong proficiency in scripting languages such as Bash, Python, and/or PowerShell.
• Relational Databases: Experience with relational databases.
• Server Administration: Strong proficiency with Linux and Windows Server administration.
• Automation Frameworks: Experience in architecting automation frameworks with proficiency in tools such as Jenkins, Chef, Puppet, Ansible, or similar.
• Agile Methods: Experience with Agile methods (Scrum/Kanban) for organizing project deliverables and tracking progress (Jira).
• Version Control: Experience with Git and/or code repository services (BitBucket, GitHub, etc.).
• Cloud Services: Experience with open-source technologies and cloud services (AWS/Azure).
• Monitoring Tools: Experience with monitoring and alerting tools (Splunk, Nagios, BigPanda, PagerDuty).
• Infrastructure as Code: Experience with infrastructure as code (Terraform, CloudFormation).
• Container Technology: Knowledge of and exposure to container technology and orchestration is a plus.
• API Interaction: Experience interacting with REST APIs (GET/POST requests), webhooks, and API client tools (Postman).
• Problem-Solving: Excellent problem-solving and troubleshooting skills.
• Documentation: Process-oriented with great documentation skills (Confluence).
• Data Structures: Experience with data structures/formats such as XML, JSON, YAML, and HCL.
• Business Continuity: Experience with automation of business continuity/disaster recovery.
  
  

Preferred

• Production Operations: Experience with managing production operations, monitoring, alerting, notifications, etc.
• Coding Experience: Moderate experience with coding any combination of Perl, Ruby, Bash, PowerShell and Java + others.
• Scheduling Tools: Experience with Rundeck and/or Cisco Tidal Enterprise Scheduler.
• Monitoring Tools: Experience with BigPanda and PagerDuty.
• AI Ops: Experience with AI Ops.