Associate Support Engineer
Blue Yonder
QualificationB.E/B.Tech (Relevant Field)
Key Responsibilities
- Deliver high-quality application support to global customers by effectively investigating, diagnosing, and resolving platform incidents.
- Investigate proactive monitoring alerts generated through internal monitoring tools to ensure maximum SaaS environment uptime.
- Maintain strict SLA/SLO compliance while demonstrating excellent case management and premium customer satisfaction metrics.
- Collaborate seamlessly with core engineering, product management, and external partner teams to troubleshoot complex application errors.
- Monitor application health, identify performance bottlenecks, and support integrations, mobile systems, and database layer anomalies.
- Contribute actively to the Knowledge-Centered Support (KCS) architecture by documenting resolution processes and writing technical articles.
- Identify opportunities for scripts automation, workflow optimization, and continuous infrastructure improvement.
Skills & Eligibility
- The candidates should possess a B.E/B.Tech degree in a relevant engineering discipline.
- Must possess a continuous learning mindset with strong analytical and problem-solving skills.
- Ability to operate productively within a fast-paced, 24×7 shift rotation customer support ecosystem.
- Foundational knowledge of SQL, Oracle, and database querying.
- Familiarity with cloud platforms (Microsoft Azure), Kubernetes, and containerized applications.
- Understanding of application debugging, logging, and troubleshooting techniques.
- Exposure to API integrations, MuleSoft, or similar integration environments.
- Knowledge of application monitoring and diagnostics platforms such as AppDynamics, Splunk, Kibana, or similar tools.
- Basic understanding of CI/CD pipeline concepts using GitHub and Jenkins.
- Excellent verbal and written communication skills to handle global, cross-functional stakeholders with empathy.
- Foundational knowledge of SQL, Oracle, and database querying.
- Familiarity with cloud platforms (Microsoft Azure), Kubernetes, and containerized applications.
- Understanding of application debugging, logging, and troubleshooting techniques.
- Exposure to API integrations, MuleSoft, or similar integration environments.
- Knowledge of application monitoring and diagnostics platforms such as AppDynamics, Splunk, Kibana, or similar tools.
- Basic understanding of CI/CD pipeline concepts using GitHub and Jenkins.
- Excellent verbal and written communication skills to handle global, cross-functional stakeholders with empathy.
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