Overview
Skills
Job Details
About the Role
Are you ready to take on high-impact technical challenges and become the go-to expert for mission-critical applications? We are seeking a seasoned Lead Support Engineer to strengthen our Run Support team and drive operational excellence as we scale for the future.
Responsibilities
Lead resolution of high-severity, complex incidents escalated from L2 support.
Ensure SLA adherence for incident resolution and problem closure.
Act as a Subject Matter Expert (SME) for Tier 1 applications.
Collaborate with Product Owners to manage bugs & user stories in Azure DevOps (ADO).
Define clear acceptance criteria and ensure linkage between incidents, bugs, and backlog items.
Partner with Development teams to validate bug fixes and story completions.
Analyze recurring incidents and create actionable backlog items.
Track backlog health and ensure business-critical priorities are addressed.
Identify & implement automation opportunities for monitoring, triage, and resolution.
Enhance runbooks, SOPs, and knowledge bases for continuous improvement.
Support release readiness, deployments, and post-release validation.
Mentor junior support engineers, sharing best practices in incident-to-bug conversion.
Advocate for customer/business impact in sprint planning & prioritization.
Qualifications
6+ years in application support, production support, or software operations.
Strong troubleshooting, RCA expertise, and complex incident management.
Proficiency in Azure DevOps (ADO) for backlog & release management.
Knowledge of ITIL (Incident, Problem, Change Management).
Hands-on experience with Helix, Jira, or similar tools.
Expertise with monitoring platforms: Splunk, Dynatrace, Zabbix, AlertBot.
Experience leading RCA and driving resolution of critical production incidents.
Preferred Skills
Bachelor s degree in Computer Science, IT, or related field (or equivalent experience).
Certifications: ITIL Intermediate/Expert, Splunk Power User, Dynatrace Associate, or Certified Problem Manager.
Familiarity with Agile/DevOps practices (backlog grooming, sprint planning).
Prior experience in large-scale enterprise environments with complex application landscapes.