Support Engineer

• Triage and troubleshoot support issues, when required escalate to project or product engineering teams.
• Analyze system behavior using observability tools—logs, metrics, tracing—to diagnose root causes of incidents in distributed systems.
• Debug application code (primarily in .NET or NodeJS) and, when required, contribute fixes or code-level solutions.
• Take ownership of technical issues by directly investigating and resolving problems at the code level, including identifying root causes and implementing fixes when necessary.
• Work closely with our technical stack (AWS, Azure, GCP, Kubernetes, Dapr, Terraform, Temporal, Mongo Atlas, PostgreSQL) and our platform languages (.NET, NodeJS, Java).
• Configure enterprise monitoring solutions.
• Conduct thorough post-incident reviews to identify root causes and implement preventive measures.
• Automate support needs, develop runbooks, improve and maintain support tools.
• Participate in infrastructure capacity planning, demand forecasting, software performance analysis and systems tuning.
• Understand our product offerings and continuously look for ways to improve the engineering support experience and platform engineering tooling.
• Participate in R&D / explorations / automation with AI.
• Help define and drive adoption of KPIs such as CSAT, NPS, resolution time, and first contact resolution.
• Participate in strategic discussions around customer lifecycle, retention, and satisfaction.

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Senior Full Stack Engineer – Support, Observability