Senior Enterprise Support Engineer

Clera · posted yesterdayFresh: apply early

Open to candidates in United States

Full-time · Senior

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What this job asks for

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Must have

  • •4+ years in technical support/engineering
  • •Resolve production incidents
  • •Hands-on SQL and cloud log analysis
  • •Strong understanding of REST APIs and JSON
  • •Advise enterprise stakeholders on calls
  • •Active use of generative AI tools

Nice to have

  • •Familiarity with SSO, SAML, OAuth, Okta
  • •Experience inspecting code in GitHub

Tools and technologies

SQL, CloudWatch, Datadog, Splunk, Grafana, Loki, REST APIs, JSON, webhooks, microservices, databases, generative AI, agentic coding tools, SSO, SAML 2.0

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About the Role

Join a team at an AI company as a hands-on technical advisor for enterprise customers. You will own complex customer issues from investigation through resolution, contribute to production incident response, and help improve the support function.

What You'll Do

  • Own enterprise customer technical issues from initial contact through resolution.

  • Lead video calls with senior customer stakeholders, including strategy discussions and incident de-escalations.

  • Analyze SQL queries, cloud logs, JSON payloads, and source code to identify root causes.

  • Investigate, reproduce, and resolve incidents involving web applications, REST APIs, webhooks, microservices, and databases.

  • Use generative AI and agentic coding tools to automate triage, analyze logs, and develop self-service knowledge resources.

  • Build and refine support playbooks, service-level agreements, escalation paths, and diagnostic runbooks.

  • Identify customer workflow challenges and partner with Product and Engineering on requirements and product improvements.

What We're Looking For

  • At least 4 years of experience in technical support, support engineering, QA, solutions engineering, or a similar hands-on technical role.

  • Experience independently investigating and resolving production incidents across applications, APIs, webhooks, microservices, and databases.

  • Hands-on SQL skills and practical experience with cloud log analysis tools such as CloudWatch, Datadog, Splunk, Grafana, or Loki.

  • Strong understanding of REST APIs, JSON, webhooks, HTTP status codes, and browser developer tools.

  • Experience advising enterprise stakeholders on live video calls and handling high-stakes customer situations.

  • Active use of generative AI and agentic coding tools for log analysis, code navigation, or workflow automation.

  • Familiarity with SSO, SAML 2.0, OAuth 2.0, or Okta; experience inspecting code in GitHub is also useful.

Location

Remote, with a requirement to be located on the U.S. East Coast. Primary location: New York, New York, United States.

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