An Application Support Engineer in an AWS environment with Splunk expertise is responsible for ensuring the smooth operation, performance, and availability of applications hosted on AWS.

Key responsibilities include:

• Monitoring & Troubleshooting: Use Splunk to analyze logs, monitor system performance, and troubleshoot application issues.
• Incident Management: Investigate and resolve application failures, latency, and performance issues in AWS services.
• AWS Infrastructure Support: Work with services like EC2, RDS, S3, Lambda, CloudWatch, etc., to maintain application stability.
• Automation & Scripting: Use Python, Bash, or PowerShell to automate recurring tasks and improve efficiency.
• Deployment & CI/CD Support: Assist in application deployments using Jenkins, AWS CodeDeploy, or other DevOps tools.
• Security & Compliance: Ensure applications meet security standards using IAM, Security Groups, and encryption.
• Collaboration: Work closely with developers, DevOps, and infrastructure teams to optimize application performance and scalability.

Educational Background

• Bachelor’s Degree in Computer Science, Information Technology, or a related field.
• Relevant certifications (e.g., AWS Certified Cloud Practitioner, Splunk Certified Admin).

Technical Skills

Splunk:

• Proficiency in Splunk Enterprise and Splunk Cloud.
• Experience with creating and managing dashboards, reports, and alerts.
• Strong knowledge of SPL (Search Processing Language).
• Familiarity with data ingestion, indexing, and data modeling in Splunk.

AppDynamics:

• Expertise in application performance monitoring using AppDynamics.
• Ability to configure and manage application and business transaction monitoring.
• Experience with custom instrumentation and alerting.

Grafana:

• Proficient in creating and managing dashboards in Grafana.
• Experience with data sources supported by Grafana (e.g., Prometheus, InfluxDB).
• Knowledge of visualization best practices and performance metrics.

AWS CloudWatch:

• Strong understanding of AWS services and architecture.
• Experience in configuring CloudWatch metrics, logs, and dashboards.
• Knowledge of setting up alarms and notifications based on CloudWatch data.

Analytical Skills

• Strong analytical and problem-solving skills to identify issues and provide insights.
• Ability to interpret complex data and present findings clearly.

Experience

• Professional Experience:
• 3+ years of experience in monitoring and performance management.
• Experience in a DevOps or SRE role is a plus.
• Project Management:
• Experience in managing monitoring tools within a production environment.
• Familiarity with Agile methodologies.

Soft Skills

• Communication:
• Excellent verbal and written communication skills.
• Ability to collaborate with cross-functional teams and stakeholders.

Attention to Detail:

• Strong attention to detail and ability to manage multiple tasks simultaneously.

Additional Skills (Preferred)

• Knowledge of scripting languages (e.g., Python, Bash) for automation and custom monitoring solutions.
• Familiarity with container orchestration tools (e.g., Kubernetes, Docker).
• Understanding of ITIL or other service management frameworks.

Requirements

• Willingness to participate in on-call rotations.
• Ability to work in a fast-paced environment and adapt to changing priorities.