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Senior Software Engineer, Context Engine

Redis

Senior Software Engineer, Context Engine

Redis

Americas

·

On-site

·

Full-time

·

1mo ago

必备技能

Go

Redis

Kafka

Who we are

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.

As a global company, we value a culture of curiosity, diversity of thought, and innovation from our employees, customers, and partners. Redis is committed to a diverse and inclusive work environment where all employees’ differences are celebrated and supported, and everyone feels safe to bring their authentic selves to work. Redis is dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national orientation, sexual orientation, age, marital status, disability, gender identity, gender expression, Veteran status, or any other classification protected by federal, state, or local law. We strive to create a workplace where every voice is heard, and every idea is respected.

Redis is committed to working with and providing access and reasonable accommodation to applicants with mental and/or physical disabilities. If you think you may require accommodations for any part of the recruitment process, please send a request to recruiting@redis.com. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.

Any offer of employment at Redis is contingent upon the successful completion of a background check, consistent with applicable laws.

Redis reserves the right to retain data longer than stated in the privacy policy https://redis.com/legal/privacy-policy/ in order to evaluate candidates.

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关于Redis

Redis

Redis

Series E

The real-time data platform.

201-500

员工数

Mountain View

总部位置

$2B

企业估值

评价

4.2

10条评价

工作生活平衡

3.8

薪酬

4.0

企业文化

4.3

职业发展

3.2

管理层

3.5

78%

推荐给朋友

优点

Supportive and collaborative team environment

Flexible work arrangements and remote options

Good compensation and benefits

缺点

High pressure and stress during peak times

Work-life balance challenges and long hours

Limited career advancement opportunities

薪资范围

55个数据点

Senior/L5

Senior/L5 · SENIOR MANAGER, ANALYTICS ENGINEERING

2份报告

$312,000

年薪总额

基本工资

$240,000

股票

-

奖金

-

$312,000

$312,000

面试经验

3次面试

难度

3.7

/ 5

时长

14-28周

录用率

67%

体验

正面 67%

中性 33%

负面 0%

面试流程

1

Application Review

2

Recruiter Screen

3

Technical Interview

4

System Design

5

Behavioral Interview

6

Final Round

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge