.NET Observability & Diagnostics Engineer
Location: San Jose, CA – OnsiteWork Authorization - Green Card and US Citizens onlyPosition OverviewWe are seeking a mid-level .NET Engineer to improve application reliability by reducing error noise, resolving production defects, and creating actionable monitoring signals. The ideal candidate will have strong C#/.NET Framework experience and be comfortable investigating logs, diagnosing application failures, fixing bugs, and deploying tested solutions.Key ResponsibilitiesAnalyze application logs and identify excessive, duplicate, or low-value error messages.Separate genuine application failures from expected client or configuration errors.Perform strategic bug fixing across existing .NET applications.Improve structured logging and application error handling.Build monitoring dashboards, alerts, and anomaly-detection capabilities.Configure alerts that help teams identify issues before customers report them.Automate incident creation and escalation through xMatters or similar platforms.Perform root-cause analysis and document troubleshooting procedures.Build, test, deploy, and validate production fixes.Collaborate with developers and operations teams working primarily during CST hours.Required Qualifications3–5 years of professional software-development experience.Strong hands-on experience with C#, .NET Framework, and ASP.NET.Experience debugging and supporting production applications.Practical knowledge of application logging, monitoring, and alerting.Experience with tools such as Serilog, Log4Net, Application Insights, Splunk, CloudWatch, New Relic, or similar platforms.JavaScript experience for front-end debugging.Experience with SQL Server and basic SQL troubleshooting.Strong root-cause analysis and problem-solving skills.Ability to work onsite in San Jose and maintain CST-aligned working hours.Preferred QualificationsExperience with xMatters, PagerDuty, ServiceNow, or another incident-management platform.Experience creating dashboards and meaningful operational alerts.Background supporting high-volume applications in financial services, insurance, healthcare, SaaS, e-commerce, or other transactional environments.Experience reducing false alarms or improving signal-to-noise ratio in production monitoring.Familiarity with Azure or AWS monitoring services.Expected OutcomesReduced production error noise and false alarms.Faster identification of meaningful application failures.Improved dashboards, alerts, and incident-response workflows.Less dependency on tribal knowledge when diagnosing problems.Earlier detection and resolution of issues before customers report them.