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 You’ll Love This Role
As a Software Team Lead with Redis AI Services, you will assume a hands-on leadership position for a team of talented engineers to deliver scalable, reliable, and production-grade services. You will lead and uphold software excellence and engineering best practices, applying your expertise to transform Redis’ capabilities - focusing on memory and context capabilities for chatbots and agents, as part of our fast-growing AI Services portfolio. It’s a hands-on leadership position that blends deep software engineering leadership, thoughtful decision-making, and execution of high-impact product initiatives.
What You’ll Do
- Lead and Grow a High-Performing Engineering Team. Mentor and guide engineers to deliver high-quality software at speed, guided by strong engineering practices, pragmatic design, and adaptable testing.
- Drive Agile Execution and Decision-Making. Instill a culture of rapid iteration and data-informed decision-making to balance short-term product delivery goals with the long-term roadmap.
- Evolve the AI Services Platform. Collaborate with cross-functional teams, including AI research, product, and cloud infrastructure to evolve Redis’ AI offerings into robust, customer-ready services.
- Operational Leadership. Define and monitor SLAs, SLOs, and KPIs. Build strong observability, incident management, and release pipelines to maintain high service availability and velocity.
- Recruit and Develop Talent. Hire top engineers and foster a culture of technical curiosity, operational excellence, and continuous improvement.
Why This Role Matters
Redis is redefining data infrastructure for the AI era. The AI Services team ensures our innovations reach customers with reliability, scale, and software craftsmanship. You’ll lead the engineering foundation that makes Redis’ AI services fast, stable, and trusted by developers worldwide - bridging the gap between innovation and durable, production-grade systems.
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
What You’ll Need to Have
- 6+ years of experience as a software engineer in backend, cloud, or distributed systems, with at least 2 years in a technical leadership role.
- Proven success leading product-focused engineering teams delivering highly available, customer-facing services and features.
- Strong background in software design and architecture for scalable, fault-tolerant systems.
- Proficiency in one or more back-end programming languages: Go, Java, Python, or similar.
- Deep understanding of CI/CD pipelines, testing frameworks, observability (Grafana, Prometheus, Jaeger), and performance tuning.
- Ability to define and track operational metrics, ensuring continuous improvement in reliability, quality, and delivery speed.
Extra Great If You Have
- Hands-on experience building and operating cloud-native services using Kubernetes, Terraform, Argo CD, or similar technologies.
- Experience productionizing AI/ML systems, including model-serving or AI-driven features.
- Experience with building and orchestrating AI agents using modern agent frameworks (LangGraph or equivalent).
- Experience with Redis and its ecosystem.
- Contributions to open-source projects in distributed systems, data infrastructure, or AI tooling.
