Senior DevOps Engineer
Cognizant
Job Description
Responsibilities
- Collaborate with cross-functional teams to streamline software development and deployment processes using Tidal Enterprise Scheduler
- Implement automation strategies to enhance efficiency and reduce manual intervention in scheduling tasks
- Monitor and maintain the health of scheduling systems ensuring high availability and reliability
- Troubleshoot and resolve issues related to scheduling and deployment minimizing downtime and disruptions
- Develop and maintain documentation for scheduling processes and automation scripts
- Optimize resource allocation and scheduling to improve system performance and scalability
- Provide technical support and guidance to team members on scheduling and automation best practices
- Evaluate and integrate new tools and technologies to enhance scheduling capabilities
- Ensure compliance with industry standards and best practices in scheduling and automation
- Collaborate with stakeholders to understand scheduling requirements and deliver tailored solutions
- Drive continuous improvement initiatives to enhance scheduling efficiency and effectiveness
- Participate in code reviews and contribute to the development of high-quality scheduling scripts
- Foster a culture of collaboration and innovation within the team. Qualifications
- Possess strong expertise in Tidal Enterprise Scheduler demonstrating proficiency in managing complex scheduling tasks
- Have a solid understanding of automation principles and experience in implementing automation strategies
- Exhibit knowledge of Cheminformatics and Bioinformatics applying domain skills to enhance scheduling solutions
- Demonstrate problem-solving skills with the ability to troubleshoot and resolve scheduling issues effectively
- Show proficiency in scripting languages contributing to the development of automation scripts
- Display excellent communication skills facilitating collaboration with cross-functional teams
- Maintain a proactive approach to learning and integrating new technologies into scheduling processes.