Overview
Skills
Job Details
Role: Application Support Engineer Location: Santa Clara, CA Job Type: Full-Time/Contract
Job Summary: The Application Support Engineer is responsible for providing application support for enterprise applications, ensuring their availability, reliability, and performance. This role serves as a key liaison between end-users, development teams, and other IT functions to resolve application-related issues and implement enhancements/upgrades/updates.
Key Responsibilities:
Monitor, troubleshoot, and resolve application issues in a timely manner.
Serve as a point of contact for application incidents, managing incident lifecycle and escalation.
Perform root cause analysis and implement solutions to prevent recurrence.
Collaborate with software engineers, reporting engineers, data engineers, and other infrastructure teams to deploy and support application changes.
Maintain documentation for support procedures, configurations, and known issues.
Provide end-user support and training when necessary.
Participate in on-call support rotations as needed.
Support integration and deployment of new applications, upgrades, updates.
Technical Skills:
Proficient in troubleshooting web-based, client-server applications, reporting issues, and database problems.
Experience with SQL for querying and analyzing data.
Familiarity with scripting languages (e.g., PowerShell, Python, T-SQL, C#, JavaScript).
Understanding of networking, APIs, and application architecture.
Experience with monitoring and logging tools (e.g., Splunk, New Relic, AppDynamics).
Qualifications:
Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent work experience).
5-10 years of experience in application support or IT operations.
Strong analytical and problem-solving skills.
Excellent communication and customer service skills.
Preferred Qualifications:
Experience with ITIL framework and ticketing systems (e.g., FreshService, Jira).
Exposure to DevOps practices and CI/CD pipelines.
Familiarity with cloud platforms (e.g., AWS, Azure) and containerization (Docker, Kubernetes).