Application Engineering Technical Lead - II

Responsibilities

• Lead, mentor, and develop a team of 6-10 engineers, driving delivery and technical excellence across model development and operations.
• Define and execute the technical strategy for scalable model engineering solutions supporting research and investment insights.
• Oversee end-to-end software development lifecycle (SDLC), ensuring high-quality, reliable, and maintainable systems.
• Design and implement cloud-native architectures leveraging AWS serverless and microservices components.
• Partner with cross-functional teams to integrate data engineering and machine learning solutions into production environments.

Requirements

• Minimum of eight years related work experience, with at least three years of development experience.
• Undergraduate degree or equivalent combination of training and experience. Graduate degree preferred.
• Strong background in data engineering and machine learning, with hands-on development experience.
• Experience in software lifecycle development and modern engineering best practices.
• Deep understanding of serverless architecture and microservices frameworks.
• Proficiency working with Python and data processing tools such as Pandas.
• Experience with AWS services including Lambda, Step Functions, S3, and EventBridge.

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Company Intel

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