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Senior leadership role but metro location and generalist engineering title increase competition.
Backend and GenAI skills transfer well, but senior leadership specialization increases industry fit sensitivity.
Explicit 12+ years and specific NodeJS/C#/GenAI/microservices requirements tighten screening.
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Lead design, development, and delivery of scalable cloud-native web applications using microservices architecture.
Mentor and lead engineering teams in software development best practices, code reviews, and technology adoption.
Design APIs and collaborate cross-functionally with front-end, data, product, QA, and operations teams to ensure quality and performance.
Bachelor's degree in Computer Science or related field or equivalent experience.
12+ years of development and technical leadership experience.
10+ years with NodeJS, C#, and microservice technologies; 3+ years with SQL and NoSQL data access layers.
1–3 years hands-on GenAI experience including LLM integration, prompt engineering, RAG, and inference optimization.
Extensive full-stack expertise spanning front-end, back-end services/microservices, and data layers.
Proven ability to lead agile development teams and manage software delivery with SCM, CI/CD, and automation tools (Git, Jenkins, NPM, Spinnaker).
Experienced in cloud (AWS), container orchestration (Kubernetes, Docker), and designing GenAI-enabled applications using foundation models and agent-based architectures.