Senior Software Engineer - Core Team

Senior Software Engineer – Core Team – San Jose, CA

ZEDEDA Inc, San Jose, California, United States, Information Technology

ZEDEDA unlocks the value of AI where it matters most, enabling enterprises to create, secure and operate edge AI EDA’s Edge Intelligence products and solutions are used by global distributed enterprises to rapidly realize and deploy autonomous intelligence wherever they operate, turning real‑time data into real and tangible business outcomes and decisions. Trusted by the world’s largest organizations, ZEDEDA is backed by world‑class investors, with teams in the United States, Germany, India, and the United Arab Emirates.

For more information, visit www.

ZEDEDA.ai.

We’re looking for an experienced engineer to take ownership of complex, AI‑powered systems built on a microservice and distributed architecture. A core part of this role is designing and developing AI agents that run natively in our infrastructure — agents that integrate deeply with our services, run reliably at scale, and deliver real value to customers. You’ll ramp up quickly on existing codebases, ship enhancements, debug production issues across services, and shape architecture as the systems scale.

This role requires you to be onsite in our San Jose Office.

• 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

• 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 Postgre
  
  SQL, 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 a genuine interest in pushing what they can do
• Clear written and verbal communication; works well asynchronously

• Familiarity with Python and/or Type Script/React
• Experience with LLM‑based systems, Lang Graph, Lang Chain, or other agent frameworks
• Exposure to MCP (Model Context Protocol) or LLM observability tools (Langfuse, Lang Smith)
• Open‑source contributions

Base pay range: $150,000 – $180,000.

ZEDEDA offers competitive salary, performance‑based compensation, comprehensive medical benefits, hybrid work flexibility, and meaningful opportunities for technical growth and advancement. Engineers at every level have access to AI productivity tools, on‑the‑job learning, and a culture that celebrates curiosity and experimentation — because at ZEDEDA, impact matters more than activity, and learning is never optional.