Senior Software Engineer, Context Engine
Redis · United States
- Hybrid
- Full-time
- $220,000 / year
- United States
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Job highlights
- Build core AI agent context infrastructure.
- Ship features quickly with startup velocity.
- Shape product direction with strong opinions.
- Write high-quality Go code.
- Own systems end-to-end with autonomy.
About the role
About Redis
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.
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
Nice to Have
- 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
Why Join Us
- 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.
Key skills/competency
- Senior Software Engineer
- Context Engine
- Backend Engineering
- Infrastructure Engineering
- Go Programming
- AI Agents
- Agentic Systems
- AI Infrastructure
- Distributed Systems
- Cloud Platforms
Skills & topics
- Software Engineer
- Backend
- Infrastructure
- Go
- AI
- Agent
- Context Engine
- Redis
- Senior Engineer
- Cloud
How to get hired
- Tailor your resume: Highlight backend experience, Go proficiency, and AI agent/workflow expertise.
- Showcase ownership: Emphasize past projects demonstrating autonomy and impact.
- Prepare for Go: Brush up on Go coding best practices and performance optimization.
- Discuss AI agents: Be ready to talk about your understanding of agent reasoning and AI development.
- Demonstrate vision: Articulate your strong opinions on the future of AI infrastructure.
Technical preparation
Master Go concurrency and performance tuning.,Deep dive into AI agent architectures.,Practice designing scalable distributed systems.,Familiarize with cloud deployment practices.
Behavioral questions
Describe a time you owned a project end-to-end.,How do you handle ambiguity and set direction?,Share your vision for AI agent infrastructure.,Discuss collaborating with a global, distributed team.
Frequently asked questions
- What is the primary focus for a Senior Software Engineer on the Context Engine team at Redis?
- As a Senior Software Engineer on the Context Engine team at Redis, your primary focus will be on building and implementing the core infrastructure that powers AI agents' access to and assembly of context, all optimized for speed, relevance, and scale using Redis technology.
- What programming language is primarily used for the Context Engine at Redis?
- The Context Engine at Redis is primarily built using the Go programming language. Therefore, strong proficiency in Go is a key requirement for this role.
- What kind of experience is essential for this Senior Software Engineer position?
- Essential experience includes 5+ years in backend or infrastructure engineering, strong Go proficiency, and hands-on experience building AI agents or agentic systems, including fluency with AI-assisted development workflows. Demonstrated high ownership and autonomy are also crucial.
- Does Redis offer remote work opportunities for this Senior Software Engineer role?
- Yes, Redis offers a global and flexible work environment. They have a distributed team that values output over hours, providing the flexibility to do your best work from anywhere.
- What is the compensation range for the Senior Software Engineer role at Redis?
- The compensation range for this position at Redis is between $196.9K and $246.1K annually, in addition to equity and comprehensive benefits.
- What makes the Senior Software Engineer role at Redis unique?
- This role offers ground-floor impact on a new, high-priority product, high autonomy with minimal process, and the opportunity to be at the forefront of AI agents redefining software, all within a competitive compensation package and a global, flexible work environment.
- What is the expected contribution to product direction for a Senior Software Engineer at Redis?
- Senior Software Engineers are expected to contribute directly to product direction. You will work closely with leadership to define what the team builds, not just how it is built, bringing your strong opinions and working code to shape the product.
- How does Redis approach work velocity and planning for this role?
- Redis operates with startup-level velocity within a well-resourced company. They emphasize shipping fast, prototyping, testing, and iterating in tight cycles, valuing working software over long planning horizons.