Why This Role Stands Out
This role offers a fantastic opportunity to deepen your expertise in NoSQL database administration with cutting-edge technologies and contribute to impactful projects at a reputable company. You'll thrive here if you possess strong experience with Elasticsearch/OpenSearch, Java, Python, and distributed systems, and are eager to leverage AI-assisted development tools. Apply now to join a dynamic team and advance your career in the heart of the SF Bay Area.
Quick Overview
Job Description
NoSQL Database Engineer
Preferred Location: Onsite (SF Bay Area)
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6+ years of hands-on experience administering Elasticsearch and/or OpenSearch in production environments
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Strong proficiency in Java and Python, with demonstrated ability to read, debug, and modify existing application code
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Solid understanding of distributed systems concepts: sharding, replication, consistency, cluster topology
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Experience with AWS services (EC2, IAM, VPC, S3, CloudWatch)
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Experience managing clusters on at least one third-party/non-AWS cloud provider (e.g., Google Cloud Platform)
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Hands-on experience with REST APIs, Query DSL, and index management (ILM/ISM policies)
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Practical experience using AI-assisted development tools (Claude, Copilot, or similar) to improve engineering velocity and code quality
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Experience with CI/CD tools and Infrastructure-as-Code (Terraform, Ansible, CloudFormation, or similar)
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Familiarity with containerization and orchestration (Docker, Kubernetes)
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Strong debugging, troubleshooting, and performance-tuning skills
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Experience with monitoring/observability tools (Prometheus, Grafana, CloudWatch, or similar)
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Solid understanding of Git-based version control and code review workflows
Requirements:
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Advanced Java 8, FullStack, Python with Experience Preference: 5-10 Years
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AWS, Elastic Search, OpenSearch, Cloud Native with Experience 2-5 years
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