Platform Engineer Lead

Job Title: Platform Engineer Lead
Location: NYC, New York (Onsite)
Note: Need candidates from finance domain
Note: This is a W2 Contract
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About the Role
We are seeking an experienced and hands-on Platform Engineer Lead to spearhead the development of a next-generation Generative AI platform. This is a greenfield initiative offering the opportunity to build a strategic enterprise platform from the ground up.
As a founding technical leader, you will design and develop scalable, distributed systems that leverage Large Language Models (LLMs) and advanced AI technologies. While leading a highly technical team, you will remain actively involved in hands-on coding and architectural decisions.
This role is ideal for a senior engineering leader who thrives in startup-style environments within large-scale enterprise ecosystems.
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Key Responsibilities
• Lead and mentor a highly skilled engineering team while contributing hands-on to development efforts.
• Architect and build high-quality, highly reliable, and scalable platform software.
• Design distributed systems capable of operating at enterprise scale.
• Develop and integrate Generative AI and LLM-driven solutions.
• Collaborate closely with cross-functional teams, subject matter experts, and business stakeholders.
• Ensure platform compliance with enterprise security standards and SDLC processes.
• Operate, scale, and continuously enhance the platform’s performance and reliability.
• Drive innovation and technical best practices across the engineering organization.
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Required Qualifications
• Proven experience as an Engineering Lead, Hands-on Software Engineering Manager, or similar leadership role.
• Strong hands-on expertise in Python.
• Deep knowledge of distributed systems and scalable architecture.
• Experience designing and running large-scale platforms in production environments.
• Practical experience working with AI/ML technologies, particularly Large Language Models (LLMs).
• Proficiency in modern programming languages such as Go or Java.
• Experience with Kubernetes, Kafka, and RESTful API design.
• Development experience with at least one major public cloud provider (AWS, Azure, or Google Cloud Platform).
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Preferred Qualifications
• Experience building enterprise AI or data-driven platforms.
• Background in regulated industries such as finance, healthcare, or large-scale enterprise environments.
• Strong understanding of secure software development practices.