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Tier-1 employer, metro location, mid-level generalist title, and broad full-stack plus AI requirements.
Technical full-stack and AI skills are transferable across industries but require solid engineering background.
Explicit 6+ years plus mandatory Java/Python, Kubernetes, Kafka, and frontend skills.
Design, build, and operate full-stack systems including frontend experiences, backend services, and data pipelines with a focus on reliability and scalability.
Develop and deploy backend services in Java and Python with REST APIs, operate distributed systems leveraging Kafka and ClickHouse, and manage production environments using Kubernetes.
Integrate AI-powered features using LLMs and agent frameworks into products, owning end-to-end quality, observability, and performance at scale.
6+ years of professional software engineering experience building and operating production systems.
Proficiency in backend development with Java and Python, including designing and implementing REST APIs.
Hands-on experience with Kubernetes and containerization (Docker) for deploying and operating services in production.
Degree in Computer Science or related field, or equivalent practical experience.
Experienced full-stack engineer skilled at developing scalable and fault-tolerant distributed systems, especially with Kafka and ClickHouse.
Demonstrated ability to incorporate AI/ML technologies such as LLMs and agent frameworks into production software products.
Comfortable working across frontend (ReactJS/Angular) and backend, collaboratively taking features from concept to production with strong ownership.