Experienced Backend Software Engineer - API AI

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?

Why would you love this job?

As a core member engineer of the Redis AI API team, you will play a pivotal role in shaping the future of Redis by integrating AI capabilities into our cloud services. You'll be involved in the entire development process, from initial research and design to implementation and deployment in production.

This is an exciting opportunity to drive innovation at Redis, expanding our platform's capabilities for the AI era. By joining early in the cycle, you'll have a significant impact on the direction and success of our efforts.

What you’ll do:

• Design and Develop a new set of cloud services. Lead the design and development of AI-driven features, ensuring scalability, reliability, and performance.

• Drive Innovation. Experiment with cutting-edge AI technologies and frameworks, and contribute to Redis’ evolution in the AI space.

• Collaborate across teams. Work closely with the broader engineer team, Support, DevOps, leading the fastest NoSQL databases in the world

What will you need to have?

• 4+ years developing backend applications

• Hands-on experience building, testing, deploying in production

• Experience with databases

• Exposure to CI/CD and deployment tooling (e.g.: GitHub actions, Argo CD, Kubernetes, Terraform, etc)

• Experience delivering high-quality software at scale in Java, Kotlin, Python, Golang, or other languages

• Self-directed, ambitious, and eager to learn new skills and technologies

• Bachelor’s or Master’s Degree in Computer Science or Related Field

Extra great if you have:

• Basic understanding of AI/ML concepts or experience working with frameworks like TensorFlow, PyTorch, or LangChain

• Experience with Redis or similar NoSQL databases

• Exposure to cloud-native application

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We give back to our employees:

Our culture is what makes Redis a fun and rewarding place to work. To support you at work and beyond, we offer all our team members fantastic benefits and perks:

• Competitive compensation package formed by salary and equity grants

• 25 days of flexible vacation time

• Hybrid working options from both home and the office

• Home internet & phone monthly allowance

• One-time home-office setup allowance

• Health and dental insurance for you

• Personal life insurance

• Critical Illness Cover

• Lunch and snacks in the office

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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 [email protected]. 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 in order to evaluate candidates.