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This role is an intermediate-level position responsible for driving automation initiatives and providing dedicated production support for critical business processes. The primary objective is to enhance operational efficiency, reduce manual intervention, and ensure the stability and reliability of our production systems. This individual will be a key player in the implementation of automation solutions and will be responsible for navigating the approval process to ensure timely delivery.
Job Responsibility:
Design, develop, and implement automation solutions using a variety of tools including Autosys, VBA, Appian, and Boardwalk
Provide dedicated support for production environments, including troubleshooting issues, responding to user queries, and ensuring system availability
Utilize Bitbucket/Git for version control and RLM and Jenkins for continuous integration and deployment of automation scripts and applications
Drive the implementation of new automation projects from conception to completion, including chasing down necessary approvals from stakeholders to ensure timely delivery
Create and maintain dashboards and reports using Tableau to monitor system performance and provide insights to stakeholders
Continuously identify opportunities for process improvement and automation to enhance efficiency and reduce operational risk
Collaborate with business users, development teams, and other stakeholders to gather requirements, provide updates, and ensure alignment on automation initiatives
Requirements:
8+ years of relevant experience in an automation or production support role
Proficiency in Autosys, VBA, and experience with low-code platforms like Appian
Hands-on experience with Bitbucket/Git, RLM, and Jenkins
Experience with Tableau for creating dashboards and reports
Strong scripting skills (e.g., Python, Shell) are a plus
Strong analytical and problem-solving skills
Excellent communication and interpersonal skills
A proactive and results-oriented mindset
Proven ability to manage multiple tasks and projects in a fast-paced environment
Master's degree in Computer Science or Statistics is required
Nice to have:
Strong scripting skills (e.g., Python, Shell) are a plus
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