JOB DESCRIPTION

Are you ready to make an impact at DTCC

Do you want to work on cutting-edge projects, collaborate with a agile and supportive team, and receive investment in your professional development At DTCC, we are at the forefront of innovation in the financial markets. We are committed to helping our employees grow and succeed. We believe that you have the skills and drive to make a real impact. We foster a thriving internal community and are committed to creating a workplace that looks like the world that we serve.

The Information Technology group delivers secure, reliable technology solutions that enable DTCC to be the trusted infrastructure of the global capital markets. The team delivers high-quality information through activities that include development of essential, building infrastructure capabilities to meet client needs and implementing data standards and governance.

Pay and Benefits:

- Competitive compensation, including base pay and annual incentive
- Comprehensive health and life insurance and well-being benefits, based on location
- Pension / Retirement benefits
- Paid Time Off and Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
- The Impact you will have in this role:

The Enterprise Scheduling Engineering organization is responsible for the end-to-end management of the Batch Scheduling setting. Our primary objective is to deliver flexible, scalable scheduling capabilities through self-service and automation, while consistently enforcing established best practices to reduce risk while accelerating enterprise-wide automation.





The Lead Systems Engineer is responsible for the administration and operational support of Distributed Scheduling across Linux and cloud-based platforms. This role partners closely with infrastructure-as-code-driven automation initiatives to design, develop, and deliver new automation capabilities, as well as to enhance and evolve existing solutions.

Qualifications:

- Minimum of 3 years of related experience
- Bachelor's degree preferred or equivalent experiences

Talents Needed for Success:

Soft-Skills:

- Team oriented with good communication skills
- Willing and able to collaborate with team members and clients to achieve goals and meet deadlines
- History of developing new automation tasks that reduced manual effort while reducing risk
- Experience creating technical documentation

Technical Skills:

- Strong Linux Administration (Minimum 3 years experience)
- Proficient Automation Skills (Minimum 3 years experience)
- Shell scripting
- Python scripting
- Independently install, upgrade, customize and integrate all components of Autosys
- Minimum 3+ years experience in Distributed Scheduling (Autosys and Airflow)
- Conduct root cause analysis of issues, review new and existing code and/or perform unit testing (IDE Tools: AWS Q)
- Identify ideas to improve system performance and impact availability
- Create and publish system documentation for enabling IT to use automated scheduling solutions
- Partner with experienced team members to develop new automation
- Containerized Platform Knowledge (Docker, Kubernetes)
- Software Configuration Management
- Version Control Knowledge (Bitbucket)
- Cloud Knowledge (AWS, Azure, GCP, IAM, Ingress/Egress Policies)
- Automation Tool Knowledge (CI/CD Pipelines, Terraform, Ansible, Chef)

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