3 months ago
San Jose, CA, USASenior
Base Salary
$150k - $180k/yr
Responsibilities
- Understand large, evolving codebases and contribute meaningfully within weeks.
- Design, build, and operate services in microservice and distributed systems environments.
- Diagnose and resolve production issues across services, databases, message queues, and LLM integrations.
- Drive architectural improvements in scalability, reliability, observability, and developer experience.
- Design and develop AI agents running natively in ZEDEDA’s infrastructure, including their architecture, tool integration, reliability, and performance.
- Collaborate with engineers and use AI coding agents to accelerate delivery.
Requirements
- At least 5 years of professional software engineering experience.
- Strong proficiency in Go for production services.
- Experience designing and operating microservices and distributed systems at scale.
- Working knowledge of PostgreSQL, Redis, Kafka, and Docker.
- Background in cloud infrastructure, Kubernetes, or edge computing.
- Track record of debugging difficult problems in production distributed environments.
- Hands-on experience using coding agents such as Claude Code, Codex, or similar, along with genuine interest in advancing their capabilities.
- Clear written and verbal communication and ability to work asynchronously.
- Preferred: familiarity with Python and/or TypeScript/React.
- Preferred: experience with LLM-based systems, LangGraph, LangChain, or other agent frameworks.
- Preferred: exposure to MCP, Langfuse, LangSmith, or other LLM observability tools.
- Preferred: open-source contributions.
Benefits
- Base pay range is $150,000–$180,000.
- Competitive salary and performance-based compensation.
- Comprehensive medical benefits.
- Hybrid work flexibility, with the position based in San Jose and requiring three days onsite.
- Opportunities for technical growth, advancement, and on-the-job learning.
- Access to AI productivity tools.
- San Jose commuting and relocation expenses are not provided.
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