Production Data Support Engineer I
Availity (company site, opens in a new tab)1+ yrsOn-siteDirect career pageEst. 6–10 LPA
Posted on 24 Sept
Reach people at Availity
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Availity you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Act as first line (L1) production support for enterprise healthcare applications, monitoring system health via Splunk and New Relic dashboards to detect issues.
- Perform runbook-driven incident triage, creating tickets, providing evidence-backed updates, and escalating to L2/L3 or SMEs as needed.
- Support planned maintenance, deployment windows, and ensure coverage during peak production and critical business hours.
Minimum Requirements
- Engineering or Science degree with minimum 1 year experience as Support Engineer.
- Experience with basic systems and application monitoring concepts, including interpreting dashboards, alerts, and metrics in Splunk and New Relic.
- Experience with incident and ticket management workflows (e.g., JIRA) and understanding of on-call escalation models and alerting tools (e.g., PagerDuty).
- Work Experience Required: Minimum 1 year as Support Engineer. Video camera usage required for all virtual meetings.
Ideal Candidate Profile
- Experienced in monitoring and analyzing system performance data with ability to detect anomalies using tools like Splunk and New Relic.
- Skilled in incident triage with clear communication of technical details for effective escalation and resolution.
- Comfortable working in high-pressure environments managing multiple simultaneous incidents during critical production hours.