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Well-known employer, metro location, mid-level full-stack title, and broad skillset requirements increase competition.
Requires specific full-stack, cloud, and production AI experience, limiting cross-industry transferability.
Multiple mandatory technical stacks, 5+ years experience, and AI/cloud requirements tighten shortlisting.
Design and develop scalable, fault-tolerant full-stack applications using React (frontend) and Node.js/Java/Go (backend).
Build and maintain distributed architectures leveraging AWS services, including automation of CI/CD pipelines and infrastructure-as-code.
Develop production-grade AI applications and integrate AI/ML capabilities focusing on scalability, observability, security, and reliability, alongside managing data workflows and ETL pipelines.
Minimum 5+ years professional software development experience with full-stack applications.
Proficiency in React.js and at least one of Node.js, Java, or Go.
Hands-on experience with AWS cloud services, containerization technologies (Docker, Kubernetes), and messaging systems like Kafka.
Strong understanding and experience with both relational (PostgreSQL, MySQL) and NoSQL databases (DynamoDB), AI/ML fundamentals (LLMs, embeddings, RAG architectures), and automation/CI-CD tools (Terraform, AWS CDK, Jenkins, GitHub Actions).
Experienced in building scalable distributed systems and microservices architectures in cloud environments.
Able to lead architectural discussions, mentor juniors, and participate in on-call rotations supporting production systems.
Demonstrates expertise in integrating advanced AI/ML technologies into developer tools and data processing pipelines within full-stack development settings.