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Tier-1 brand, mid-level generalist role in metro with broad full-stack requirements increases competition.
Requires specific full-stack, Kubernetes, streaming, and AI experience so moderately sensitive to industry background.
Explicit 6+ years plus mandatory Java/Python, Kubernetes, distributed systems and AI/streaming experience raises shortlisting strictness.
Design, build, and operate full-stack capabilities including backend services (Java, Python), frontend (ReactJS/Angular), and data pipelines (Kafka, ClickHouse).
Deploy, scale, and troubleshoot production services on Kubernetes with containerization (Docker).
Integrate AI-powered features using LLMs and agent frameworks into products from design to production operation.
6+ years of professional software engineering experience building and operating production systems.
Proficiency in backend development with Java and Python, including designing REST APIs.
Hands-on experience with Kubernetes and containerization (Docker) in production.
Degree in Computer Science or related field, or equivalent practical experience.
Experienced in designing distributed systems emphasizing scalability, fault tolerance, and streaming technologies like Kafka.
Strong practical knowledge of AI/ML tech including LLMs, AI agents, and their integration into products.
Comfortable working across front-end, back-end, and data pipeline layers with cloud-native CI/CD practices.