Systems Engineering Associate

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.
• DTCC offers a flexible/hybrid model of 3 days onsite and 2 days remote (onsite Tuesdays, Wednesdays and a third day unique to each team or employee).

The Impact you will have in this role

Qualifications

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

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
• 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)
• Proficient Automation Skills (Minimum 3 years’ experience) Shell scripting Python scripting
• 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)
• Actual salary is determined based on the role, location, individual experience, skills, and other considerations. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Company