Job Title: Senior Software Engineer

Company Name: Redis

Job Url: https://redis-sanity-proxied.vercel.app/company/careers/senior-software-engineer-context-engine-8194938a-24c9-41db-876a-95a5d1897244/?jr_id=69b2ce1bad360c0340a7c18e&src=jobright&utm_source=qQMzxz6XY3&ashby_jid=8194938a-24c9-41db-876a-95a5d1897244

Job Description: As a Senior Engineer on the Context Engine team, you’ll be building the core infrastructure that agents use to access and assemble context—powered by Redis. You’ll work on a small, global team with high autonomy, shipping fast and iterating in the open. This isn’t a role where you wait for specs. You’ll have strong opinions about where agents are going, and you’ll turn those opinions into products.

We want builders—people who’ve founded companies or shipped products from zero to one. You’ll own large surface areas of the product, move quickly, and have a direct line to the impact your work creates.

What You’ll Do
Build Context Infrastructure: Design and implement the systems that create, transform, and deliver context to AI agents—optimized for speed, relevance, and scale on top of Redis.
Ship Fast: Operate with startup-level velocity inside a well-resourced company. Prototype, test, and ship features in tight cycles. We value working software over long planning horizons.
Shape the Product: Contribute directly to product direction. You’ll work closely with leadership to define what we build, not just how we build it.
Write Great Go: Our Context Engine is built in Go. You’ll write clean, performant, production-grade code and set quality standards for the team.
Build with Agents: Use agentic coding tools and workflows daily. We expect you to be fluent in AI-assisted development and to push the boundaries of what’s possible.
Own Your Domain: Take full ownership of the systems you build—from design through production. High autonomy means high accountability.
What You’ll Need
5+ years of experience in backend or infrastructure engineering, with a track record of shipping production systems
Strong proficiency in Go
Hands-on experience building AI agents or agentic systems—you understand how agents reason, plan, and use tools
Fluency with agentic coding tools and AI-assisted development workflows
Demonstrated high ownership and autonomy—you’ve thrived in environments where you set your own direction
Strong opinions on the future of agents, context, and AI infrastructure—and the ability to back them up with working code
Excellent communication skills—able to collaborate effectively across a distributed, global team