Client Job ID: 8502 Required Education: Bachelorās Degree or equivalent experienceRequired Skills Experience in monitoring, troubleshooting, and improving distributed systems Hands-on use of observability tools (Grafana, Prometheus, Splunk, Datadog, etc.) Ability to diagnose and resolve production issues (latency, memory, throughput) Strong root-cause analysis with the ability to implement code/configuration fixes Proficiency in at least one backend language (Python, Java, Kotlin, or Scala) Ability to read, debug, modify, and write production code Experience building or enhancing APIs, microservices, or event-driven systems Version control experience (Git) and structured code review practices Working knowledge of data pipelines (batch and/or streaming) Experience developing or supporting tools like Apache Spark or similar frameworks Understanding of data validation, logging, and error handling Ability to monitor, troubleshoot, and enhance ETL/ELT workflows Hands-on experience with cloud platforms (AWS, GCP, or Azure) Familiarity with containerization (Docker, Kubernetes) Experience with CI/CD pipelines (Jenkins, GitLab CI, etc.) Production support or SRE experience (triage, escalation, resolution) Ability to work within SLOs/SLAs and contribute to operational improvements Experience supporting end users and handling break-fix scenariosDesired Skills Experience with infrastructure-as-code (Terraform, Cloud Deployment Manager) Exposure to ML/analytics-driven systems or forecasting platforms Experience building or enhancing scalable data services or APIs Advanced performance tuning and scalability optimization experience Familiarity with retail, merchandising, or supply chain systems Experience supporting globally distributed teams across time zones Knowledge of automated alerting, runbooks, and operational playbooksWe are seeking a highly skilled Application Support & Development Engineer to support and enhance demand forecasting on-demand interfaces and assortment planning capabilities. Job Duties Monitor application health, performance, and availability across distributed systems Troubleshoot and resolve production issues, including latency, data inconsistencies, and system failures Perform root-cause analysis and implement durable fixes, including code changes where appropriate Design, develop, and deploy enhancements, bug fixes, and small features across applications and data pipelines Provide timely support to end users, including ticket triage, escalation, and resolution Collaborate with engineering and data science teams to design, implement, and validate solutions Support, maintain, and enhance data pipelines, ensuring reliable and efficient data flow into planning and forecasting systems Maintain and improve observability through logging, metrics, and alerting tools Participate in incident management processes, adhering to defined SLOs/SLAs Contribute to documentation, runbooks, and knowledge-sharing practices Participate in code reviews and follow best practices for testing, deployment, and maintainability Assist with and improve deployment processes and CI/CD pipelinesTypical Day Monitor distributed applications and forecasting systems for reliability and performance Investigate and resolve production incidents and user-reported issues Debug and modify backend code to implement fixes and enhancements Support and optimize ETL/data pipeline workflows Collaborate with engineering and data science teams on technical improvements Participate in deployments, observability improvements, and operational support activities Work with offshore and Minneapolis-based teams in a hybrid environment **Only those lawfully authorized to work in the designated country associated with the position will be considered.**