Senior Software Engineer — Edge AI & Microservices (Go)

Zededa; San Jose (CA); Hybrid; USD 150,000 - 180,000; Full time

Job summary

ZEDEDA is seeking a Senior Software Engineer for the Core Team in San Jose, CA, to own AI-powered, distributed systems running in a microservices architecture. Design and develop AI agents that integrate deeply with our services and scale reliably.

You will navigate unfamiliar code, ship enhancements, debug production issues across services, and shape architecture as systems grow. Strong Go skills and cloud/Kubernetes experience are required.

Qualifications

• 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.
• Hands‑on experience using coding agents (Claude Code, Codex, or similar).
• Clear written and verbal communication; works well asynchronously.

Responsibilities

• 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 — scalability, reliability, observability, and developer experience
• Design and develop AI agents that run natively in our infrastructure — owning architecture, tool integration, reliability, and performance
• Collaborate with other engineers and use AI coding agents effectively to accelerate delivery

Skills

Go

Microservices

Distributed systems

PostgreSQL

Redis

Kafka

Docker

Kubernetes

Cloud infrastructure

AI agents

Communication

Tools

Claude Code

Codex

LangGraph

LangChain

LangSmith

Job description

ZEDEDA is seeking a Senior Software Engineer for the Core Team in San Jose, CA, to own AI-powered, distributed systems running in a microservices architecture. Design and develop AI agents that integrate deeply with our services and scale reliably.

You will navigate unfamiliar code, ship enhancements, debug production issues across services, and shape architecture as systems grow. Strong Go skills and cloud/Kubernetes experience are required.