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LeadFull-timePythonRustRailsAWSAzurePostgreSQLMongoDBRedis
Salary Range
$94,478 - $127,822 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Data Team Lead to join JFrog, a company reinventing DevOps to help global companies innovate. This role involves owning and evolving the data layer that powers JFrog SaaS production environments.
Key Responsibilities
- βLead a distributed team operating across Israel and the United States.
- βOwn the data layer across JFrog SaaS production environments, overseeing stability, scalability, and continuous evolution.
- βSet the vision and roadmap for JFrogβs data layer across JFrog SaaS production environments.
- βDrive solutions that improve resilience and efficiency across the data layer, leveraging modern infrastructure and platform practices.
- βCollaborate globally with DevOps, R&D, Support, and SRE teams to streamline data operations and improve queries and workflows.
- βMeasure and improve uptime, performance, and operational excellence.
- βDevelop talent, knowledge-sharing, and best practices within the team.
- βStay ahead of technology trends to keep the platform modern and secure.
- βDefine guardrails, automation, and infrastructure-as-code for database operations.
- βAnalyze usage patterns and monitor health and performance, driving an ongoing optimization roadmap.
Requirements
- β5+ years of experience working with production data platforms or large-scale databases.
- β3+ years leading teams (formal management or tech leadership).
- βStrong expertise with PostgreSQL, including performance tuning, troubleshooting, query optimization, and incident analysis.
- βExperience with cloud-managed database services (e.g., AWS RDS/Aurora, Google Cloud SQL, Azure Database).
- βSolid experience operating data systems in production, high-availability environments.
- βHands-on background with infrastructure and platform practices (e.g., automation, IaC, containers, cloud environments).
- βExperience with scripting languages, such as Python.
- βStrong analytical and problem-solving skills, with the ability to make sound decisions under pressure.
- βExcellent communication skills and ability to lead through influence and ownership.
- βComfortable balancing hands-on execution with team leadership and mentoring.
- βExperience with additional data technologies (Redis, Kafka, MongoDB, etc.).
- βExperience building and leading data reliability programs (backups, recovery, migrations, audits, etc.).
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