About us
Factori is a rapidly growing location and consumer intelligence company built for an AI-first world. Each day we ingest billions of privacy-compliant signals and maintain the world’s most comprehensive consumer, mobility and point-of-Interest database.
Our AI-driven insights help Fortune 500 brands, global media agencies and technology innovators decide where to invest, build and grow. Headquartered in New York City with hubs across APAC, EMEA and the Americas, we operate with the ownership mindset of a startup and the global footprint of an enterprise data leader.
We’re looking for a Platform Support Engineer with 2–5 years of experience to ensure the reliability, availability, and performance of our cloud-native platforms. You’ll troubleshoot production issues, perform rapid root cause analysis using logs and telemetry, automate operational workflows, and work closely with engineering teams to continuously improve platform stability and customer experience.
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Monitor production platforms and services using observability tools to ensure high availability and performance.
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Investigate and resolve production issues using logs, metrics, traces, metadata, and SQL to perform effective root cause analysis.
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Collaborate with engineering teams to implement permanent fixes and improve platform reliability.
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Support production deployments, operational changes, and incident response.
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Develop automation and operational tooling using Python or Bash.
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Build dashboards, alerts, runbooks, and operational documentation.
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Leverage AI-assisted tools to accelerate debugging, troubleshooting, and operational efficiency.
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2–5 years of experience supporting cloud-native applications or production platforms.
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Strong troubleshooting and analytical skills with an engineering-first mindset.
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Proficiency in Python and SQL; Bash scripting is a plus.
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Good understanding of Linux, REST APIs, networking fundamentals, and distributed systems.
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Hands-on experience with observability tools such as Elasticsearch/Kibana, Grafana, Prometheus, Datadog, or New Relic.
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Experience with cloud platforms (GCP preferred, AWS/Azure acceptable), CI/CD, Git, Docker, and Kubernetes.
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Experience using AI tools such as ChatGPT, GitHub Copilot, Cursor, or Claude to improve engineering productivity.
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Take ownership of production incidents and drive them to resolution.
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Enjoy solving complex problems using data, logs, and observability.
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Continuously improve systems through automation and operational excellence.
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Communicate effectively and collaborate in a fast-paced engineering environment.
