Konovo

Open

Lead Production Support Engineer

Location
Bengaluru, Karnataka, India
Employment type
Full-time
Posted
Jun 30, 2026
Last seen
Aug 7, 2026

About the role

Konovo is a global healthcare intelligence company on a mission to transform research through technology—enabling faster, better, connected insights.

Konovo provides healthcare organizations with access to over 2 million healthcare professionals, the largest network of its kind globally. With a workforce of over 200 employees across 5 countries—India, Bosnia and Herzegovina, the United Kingdom, Mexico, and the United States—we support some of the most prominent names in healthcare.

Our Whitefield-based India team is our innovation hub and center of excellence for building scalable platforms, AI-enabled capabilities, and next-generation healthcare technology.

As a Lead Production Support Engineer at Konovo, you will be the frontline owner of production stability, operational excellence, and customer trust. You will work across Product, Engineering, QA, DevOps, and Business teams to ensure our platform remains reliable, scalable, and resilient for global healthcare customers. This is not a ticket-management role—it is an engineering ownership role for someone who thrives under pressure, enjoys debugging complex distributed systems, and takes accountability for resolving critical production issues end-to-end.

How You'll Make an Impact

Production Incident Investigation & Debugging

  • Own end-to-end investigation of production incidents across frontend, backend, APIs, databases, and distributed services.
  • Debug issues across modern applications built with JavaScript, React, Next.js, Java, or Scala.
  • Drive rapid incident resolution while balancing business impact, customer communication, and technical accuracy.
  • Partner with engineering teams to identify root causes and deploy permanent fixes.

Monitoring, Alerting & Root Cause Engineering

  • Monitor application logs, service health, API behavior, infrastructure metrics, and business alerts.
  • Use observability tools like Datadog, Amazon CloudWatch, or the ELK stack to proactively detect anomalies.
  • Lead root cause analysis for critical incidents and publish executive-ready incident reports.
  • Drive preventive actions to eliminate recurring production issues.

Application & Database Support

  • Investigate data inconsistencies, performance issues, API failures, and system behavior across production environments.
  • Perform advanced troubleshooting using MySQL and NoSQL systems.
  • Understand schema relationships, data integrity, and business workflows in healthcare market research systems.
  • Support platform releases, hotfix validations, rollback decisions, and post-release monitoring.

Bug Management & Operational Excellence

  • Raise high-quality bugs with complete logs, traces, RCA, and reproduction steps in Jira.
  • Coordinate issue lifecycle across engineering, QA, DevOps, and product stakeholders.
  • Maintain incident dashboards, SLA metrics, and production quality trends.
  • Build knowledge repositories, playbooks, and troubleshooting guides in Confluence.

Automation & Process Improvement

  • Identify opportunities to automate support workflows, alerting, health checks, log analysis, and recovery processes.
  • Partner with Konovo’s LITE team to explore AI-driven production support use cases such as anomaly detection, log summarization, and automated RCA.
  • Continuously improve operational efficiency, incident response time, and platform reliability.

Cross-Functional Leadership

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