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High — Tier-1 brand, generalist senior engineering title, metro location, and mid-level experience increase applicant competition.
Medium — core software and AI engineering skills are transferable but require specific frontend, backend, and systems expertise.
High — explicit 6+ years plus mandatory full-stack, Kubernetes, Kafka, Java/Python and AI experience.
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Design, build, and operate full-stack systems including frontend (ReactJS/Angular), backend services (Java, Python), and data pipelines.
Develop and scale distributed, high-throughput systems using Kafka, ClickHouse, and deploy on Kubernetes.
Integrate AI-driven features using LLMs and agent frameworks into products from design through production operation.
6+ years of professional software engineering experience building and operating production systems.
Strong frontend skills with ReactJS or Angular, JavaScript/TypeScript, and HTML/CSS fundamentals.
Backend proficiency in Java and Python, with experience designing REST APIs.
Experience with Kubernetes and containerization (Docker); experience designing distributed systems and messaging/streaming (e.g., Kafka).
Experienced in applying AI/ML technologies such as LLMs and AI agents to production or product contexts.
Proficient full-stack engineer comfortable owning end-to-end features from concept to production, including testing and performance at scale.
Familiar with cloud-native development, CI/CD, and operating data pipelines and analytical databases like ClickHouse.