Development Support Engineer

Summary:

Responsibilities:

• Investigate production issues involving logs, SQL/data patterns, failed jobs, alerts, workflows, APIs, integrations, reporting, access, configuration, and application behavior.
• Analyze platform dependencies, workflows, monitoring events, and system health indicators to identify suspected causes and resolution paths.
• Identify workarounds, ownership paths, escalation readiness, and supportable resolution options.
• Perform Tier 2 triage for production incidents.
• Create evidence-based escalation summaries and handoffs for Product Engineering, Platform Engineering, or Data Engineering teams.
• Improve incident intake quality, classification accuracy, ownership clarity, and stakeholder communication.
• Develop and maintain runbooks, Standard Operating Procedures (SOPs), known error articles, diagnostic checklists, and support documentation.
• Support Root Cause Analysis (RCA) documentation, Problem Records, corrective action tracking, and recurring incident reduction initiatives.
• Partner with Product, Engineering, Operations, Support teams, and business stakeholders to improve operational stability and support processes.
• Reduce avoidable escalations and recurring production issues through improved diagnostics, documentation, and operational follow-through.

Qualifications:

• Relevant degree preferred.
• 2 or more years of relevant experience required.
• Experience in application support, production support engineering, software engineering, DevOps, Site Reliability Engineering (SRE), technical systems analysis, monitoring and observability instrumentation, or technical product support required.
• Strong troubleshooting, SQL/data analysis, log analysis, stack trace analysis, monitoring review, and technical documentation skills required.
• Experience supporting enterprise applications, cloud-hosted services, integrations, APIs, reporting platforms, or data-driven systems required.
• Strong verbal and written communication skills with the ability to communicate technical issues clearly to technical and non-technical audiences required.
• Experience with Databricks, Azure, Spark, data pipelines, observability tools, ServiceNow, Azure DevOps, Python, Splunk, Datadog, or Application Insights preferred.
• Familiarity with ITSM/ITIL processes, Incident Management, Problem Management, Root Cause Analysis (RCA), corrective action preventative action, or known error management practices preferred.
• Experience leveraging AI-assisted tools and technologies to improve operational support, incident diagnostics, troubleshooting efficiency, documentation generation, or workflow automation preferred.
• Experience supporting healthcare technology, analytics platforms, enterprise SaaS platforms, or data-driven systems preferred.
• #LIJB1
• Estimated Hiring Range:
• At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $77,400.00 to $135,400.00.
• This position is also incentive eligible.
• Vizient has a comprehensive benefits plan! Please view our benefits here:
• http://www.vizientinc.com/about-us/careers
• Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities
• The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.

Preferred Qualifications

• Relevant degree preferred.
• Experience with Databricks, Azure, Spark, data pipelines, observability tools, ServiceNow, Azure DevOps, Python, Splunk, Datadog, or Application Insights preferred.
• Familiarity with ITSM/ITIL processes, Incident Management, Problem Management, Root Cause Analysis (RCA), corrective action preventative action, or known error management practices preferred.
• Experience leveraging AI-assisted tools and technologies to improve operational support, incident diagnostics, troubleshooting efficiency, documentation generation, or workflow automation preferred.
• Experience supporting healthcare technology, analytics platforms, enterprise SaaS platforms, or data-driven systems preferred.