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Aidoc

Builds AI that flags urgent findings in medical scans

Technical Support Engineer

Customer SupportConfirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • The candidate must be able to communicate complex technical issues clearly and actionably with a customer-first mindset.
  • The candidate must be able to join customer calls or remote sessions at less-than-optimal times to troubleshoot and reassure customers.
  • The candidate must have at least 2 years of experience in Technical Support, Production Support, Technical Operations, or a similar customer-facing technical role.
  • The candidate must have strong troubleshooting and analytical skills to diagnose and resolve complex technical issues.
  • The candidate must be proficient in SQL for data investigation, troubleshooting, and root cause analysis in production environments.
  • The candidate must be able to analyze system behavior, investigate anomalies, and debug issues across distributed systems and application layers.
  • The candidate must have experience partnering with Engineering teams to escalate issues, provide technical context, and drive timely resolution.
  • The candidate must be comfortable handling incidents, alerts, and time-sensitive customer-impacting issues in fast-paced production environments.

Responsibilities

  • Serve as the primary technical owner for complex customer issues and escalations.
  • Investigate and resolve technical problems spanning multiple systems and services.
  • Communicate proactively and clearly with customers throughout the lifecycle of an issue.
  • Monitor and triage production alerts affecting customers or system reliability.
  • Coordinate incident response across Engineering and internal teams.
  • Ensure incidents are documented, communicated, and followed through to resolution.
  • Diagnose issues using logs, system metrics, and SQL queries.
  • Analyze system behavior to identify root causes of production problems.
  • Escalate issues and partner with Engineering teams to drive long-term fixes.
  • Develop and maintain troubleshooting documentation, runbooks, and operational processes.
  • Identify recurring patterns and contribute to systemic improvements.
  • Strengthen incident response and operational best practices as the organization scales.
  • Share technical insights and best practices with colleagues.
  • Act as a technical resource within the Support organization.

Desired Qualifications

  • Experience participating in incident response, production alerting, or on-call rotations in a live production environment.
  • Familiarity with observability, monitoring, and debugging tools used to investigate system performance and reliability issues.
  • Experience supporting or operating within SaaS or cloud-based platforms.
  • Working knowledge of support, collaboration, and ticketing tools such as Salesforce, Jira, Monday.com, or Slack.
  • Experience debugging API integrations, including REST endpoints, request/response payloads, and authentication mechanisms.
  • Comfort analyzing application logs, system metrics, and traces to diagnose production issues.
  • Familiarity with observability and monitoring platforms such as Datadog, Grafana, or New Relic.
  • Basic scripting or automation skills in Python, Bash, or similar tools to streamline investigations or repetitive support workflows.
  • Exposure to cloud infrastructure platforms such as Amazon Web Services, Google Cloud Platform, or Microsoft Azure.

About the Company

Aidoc

Builds AI that flags urgent findings in medical scans

Aidoc uses artificial intelligence to analyze medical images and assist radiologists. Its aiOS platform plugs into hospital PACS and runs in the background to flag urgent findings on CT and X-ray scans, sending alerts to radiologists and clinical teams to speed diagnosis and treatment. It operates as an enterprise system that can run Aidoc’s own algorithms alongside third-party AI apps within existing workflows. The company aims to improve patient outcomes and hospital efficiency by triaging time-sensitive cases and is regulated with FDA clearances and CE marks while pursuing CARE to accelerate the development of new imaging algorithms.

Company size
501-1,000
Company stage
Series E
Total funding
$563.5M
Headquarters
Tel Aviv-Yafo, Israel
Founded
2016

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