Senior Software Engineer, Context Engine

Redis

7d • Remote

About The Position

We're Redis. We built the product that runs the fast apps our world runs on. (If you checked the weather, used your credit card, or looked at your flight status online today, you’re welcome.) At Redis, you’ll work with the fastest, simplest technology in the business—whether you’re building it, telling its story, or selling it to our 10,000+ worldwide customers. We’re creating a faster world with simpler experiences. You in?
The Role
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.

Requirements

• 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

Nice To Haves

• Founder experience—you’ve started a company, built a product from scratch, or operated at the zero-to-one stage
• Experience with data infrastructure, streaming systems, or real-time data platforms (Kafka, Flink, Redis, or similar)
• Background in ML infrastructure, vector search, or retrieval-augmented generation (RAG) systems
• Contributions to open-source projects in the AI/ML or data infrastructure space
• Experience with cloud platforms (AWS, GCP, Azure) and modern deployment practices

Responsibilities

• 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.

Benefits

• Ground-Floor Impact: Join a small team building a new product that’s a top priority for the company. Your work will directly shape the product and the roadmap.
• High Autonomy: We trust you to own your work end to end. Minimal process, maximum agency.
• The Agent Moment: AI agents are redefining how software works. You’ll be building the infrastructure layer that makes them useful.
• Competitive Compensation: Salary, equity, and comprehensive benefits.
• Global & Flexible: A distributed team that values output over hours, with the flexibility to do your best work from anywhere.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed