As an Application Support Engineer your responsibilities will include:
Application Debugging:
Dive into application code to identify and fix issues. Debugging may involve analyzing stack traces, examining variables, and understanding the flow of execution.
Collaborate with developers to resolve bugs and improve application performance.
Application Troubleshooting:
Troubleshoot application failures, performance bottlenecks, and unexpected behavior.
Use your Linux expertise to diagnose issues related to memory, CPU, disk I/O, and network connectivity.
Log Analysis and Tracking:
Work through logs generated by applications, services, and system components. Understand log formats, timestamps, and severity levels.
Trace down specific logs related to incidents, errors, or performance anomalies. Use log IDs or unique identifiers to correlate events.
API Investigation:
Trace API requests, inspect headers, payloads, and response codes. Collaborate with developers or third-party providers to resolve issues.
Infrastructure Optimization:
Fine-tune VM configurations, adjust resource allocations, and enhance system security.
Automate repetitive tasks using tools like Ansible, Terraform, or custom scripts.
Monitoring and Alerting:
Set up monitoring tools (Spunk / Data Dog) to proactively detect issues. Define thresholds and alerts.
Ensure that critical logs and metrics are collected and analyzed.
Pay Range: $40-$45
Exact compensation may vary based on several factors, including skills, experience, and education. Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.
We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to
Human Resources Request Form. The EEOC "Know Your Rights" Poster is available
here.
To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:
https://insightglobal.com/workforce-privacy-policy/ .
1-3 Years of experience in a Software Engineering / Application Support role
Experience with application debugging and troubleshooting utilizing Splunk, DataDog, or related
Experience with log analysis and tracking within a software application (log formats, log IDs, etc.)
Microservice containerization experience, specifically with Kubernetes
Experience working in a Linux OS and/or low level VM environment
Migration experience (Harness, ARA, Bitbucket, Jenkins, J Frog)
Scripting / automation experience with Java or Python
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.