Job description

The role will design and build core platform capabilities — from high-throughput data pipelines for business automation to AI-powered insights and agentic automation to the interfaces that put them in users’ hands. You own your products through the full lifecycle: shipping new features, triaging and resolving critical production issues, and ensuring operational health. You will provide technical leadership on architecture, engineering standards, and technology choices, and partner closely with product and design to ensure what we build actually moves the needle. 10+ years building and scaling production-grade full-stack and backend services using Node.js, ReactJS, TypeScript, and Java. Experience with Kafka and Flink for event-driven architectures, real-time stream processing, and distributed systems. Experience building AI-powered products, including LLM integration, agentic workflows, NLP pipelines, and intelligent automation. Hands-on with cloud-native stack: Docker, Kubernetes, AWS Proficient with SQL and NoSQL databases at scale BS in Computer Science, related technical field, or equivalent practical experience. Experience with microservices, system design, scalability, fault tolerance, concurrency, and performance optimization. Solid CI/CD and DevOps practices Proven ability to deliver end-to-end product features with a product-owner mindset and focus on user/business outcomes. Ability to translate ambiguous business problems into clean, scalable technical designs Strong communicator who collaborates naturally across engineering, product, and stakeholders Passion for quality, attention to detail and internationalization

Requirements

Must-haves

10+ years building and scaling production-grade full-stack and backend services using Node.js, ReactJS, TypeScript, and Java.
Experience with Kafka and Flink for event-driven architectures, real-time stream processing, and distributed systems.
Experience building AI-powered products, including LLM integration, agentic workflows, NLP pipelines, and intelligent automation.
Hands-on with cloud-native stack: Docker, Kubernetes, AWS
Proficient with SQL and NoSQL databases at scale
BS in Computer Science, related technical field, or equivalent practical experience.
Experience with microservices, system design, scalability, fault tolerance, concurrency, and performance optimization.
Solid CI/CD and DevOps practices
Proven ability to deliver end-to-end product features with a product-owner mindset and focus on user/business outcomes.
Ability to translate ambiguous business problems into clean, scalable technical designs
Strong communicator who collaborates naturally across engineering, product, and stakeholders
Passion for quality, attention to detail and internationalization

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

ainode.jstypescriptjavallmdockerkubernetesawssqlci/cd

Platform: apple
Effort: medium