6-8 Years of Relevant Experience
Looking for an experienced Support Engineer with 6–8 years of expertise in Tidal Workload Automation (Tidal Admin). The ideal candidate will be responsible for managing job scheduling, monitoring, and providing end-to-end support for critical batch jobs in a production environment. The role requires strong analytical skills, attention to detail, and the ability to work collaboratively in high-pressure situations.
Key Responsibilities
- Administer and support Tidal Workload Automation (job scheduling, creation, monitoring, and troubleshooting)
- Provide L2/L3 production support for batch processes, job failures, and escalations
- Analyze and resolve issues related to job dependencies, schedules, and performance
- Collaborate with application, infrastructure, and DevOps teams to ensure smooth execution of scheduled workloads
- Monitor system performance and job status using Tidal and other monitoring tools
- Maintain and update documentation related to job scheduling and operational procedures
- Participate in incident management, root cause analysis, and provide timely resolutions
- Implement best practices for job scheduling, exception handling, and logging
- Participate in on-call rotation for critical support coverage during off-business hours
Required Skills and Qualifications
- 6–8 years of experience in IT support or production support roles
- Hands-on experience as a Tidal Administrator, including job configuration, calendar setup, alerts, and logs analysis
- Good knowledge of Unix/Linux systems and basic scripting (Shell, Bash)
- Familiarity with SQL and relational databases (e.g., Oracle, SQL Server, MySQL)
- Understanding of ITIL processes like incident, change, and problem management
- Experience using ticketing and monitoring tools (e.g., ServiceNow, Splunk, or similar)
- Strong analytical and problem-solving skills
- Good communication and collaboration abilities
Preferred Qualifications
- Exposure to other job schedulers (e.g., Control-M, Autosys) is a plus
- Basic knowledge of cloud platforms (e.g., AWS, Azure)
- Experience with monitoring and observability tools
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