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Salary: USD 150,000 - 180,000 / annual
ZEDEDA is an edge AI platform company that enables enterprises to create, secure, and operate AI at scale. The company's Edge Intelligence products help global distributed enterprises deploy autonomous intelligence and turn real-time data into business outcomes. ZEDEDA is backed by world-class investors and has teams across the United States, Germany, India, and the UAE.
This Senior Software Engineer role is based in San Jose, CA with a hybrid arrangement (3 days onsite required). You will take ownership of complex, AI-powered systems built on microservice and distributed architecture. A core responsibility is designing and developing AI agents that run natively in the company's infrastructure—agents that integrate deeply with services, run reliably at scale, and deliver real customer value.
Key responsibilities include:
- Understand large, evolving codebases quickly and contribute meaningfully within weeks
- Design, build, and operate services in a microservice and distributed systems environment
- 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 that run natively in the infrastructure, owning architecture, tool integration, reliability, and performance
- Collaborate with other engineers and leverage AI coding agents (Claude Code, Codex, Cursor) as a force multiplier
The role suits someone comfortable navigating unfamiliar code, making thoughtful trade-offs, and treating coding agents as productivity tools in daily workflow.
REQUIREMENTS:
Required:
- 5+ years of professional software engineering experience
- Strong proficiency in Go (Golang) for production services
- Solid 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 hard problems in production distributed environments
- Hands-on experience using coding agents (Claude Code, Codex, or similar) as part of your workflow and genuine interest in pushing their capabilities
- Clear written and verbal communication; works well asynchronously
- Must be authorized to work in the United States without employer sponsorship (no visa sponsorship available)
Preferred:
- Familiarity with Python and/or TypeScript/React
- Experience with LLM-based systems, LangGraph, LangChain, or other agent frameworks
- Exposure to MCP (Model Context Protocol) or LLM observability tools (Langfuse, LangSmith)
- Open-source contributions
