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Strong brand, metro location, mid-level generalist title, and broad skill requirements increase competition.
Role requires combined fullstack, cloud, data engineering and AI production experience, moderately limiting cross-industry fit.
Mandatory 5+ years plus extensive stack (React, Node/Java/Go, AWS, Kafka, AI, databases, IaC) enforces strict filters.
Design and develop scalable full-stack applications using React and Node.js/Java/Go, focusing on distributed architectures with AWS services.
Build and maintain core frameworks, shared services, AI applications including LLM-powered tools, and data pipelines to enable faster delivery across product lines.
Participate in code reviews, mentoring, architectural discussions, and support production systems through on-call rotations.
5+ years of professional software development experience with full-stack applications.
Proficiency in React.js and at least one backend language among Node.js, Java, or Go.
Hands-on experience with AWS cloud, Docker, Kubernetes, relational and NoSQL databases (Postgres, MySQL, DynamoDB), and Kafka or similar messaging systems.
Experience building production-grade AI applications with AI/ML fundamentals including LLMs, vector search, prompt engineering, and familiarity with CI/CD pipelines and infrastructure-as-code tools like Terraform or AWS CDK.
Engineer with strong distributed systems and microservices architecture experience operating in cloud-native environments using AWS.
Experienced in integrating AI capabilities including LLMs and vector databases into scalable and reliable production systems.
Proficient in building automation, testing, and CI/CD pipelines, with the ability to mentor juniors and contribute to architectural decision-making.