Overview
On Site
Depends on Experience
Full Time
Skills
AWS cloud architecture
Python
React
Generative AI
Job Details
Job Title: Lead Infrastructure Engineer
Location: Raleigh, NC (Hybrid Onsite 3 days/week)
Client Industry: Pharmaceutical
Overview:
Were seeking a Lead Infrastructure Engineer to join a high-impact team supporting a global pharmaceutical organization. This is a hands-on technical leadership role for someone who can architect, build, and guide solutions across modern infrastructure and development stacks, with a keen eye on innovation and AI enablement.
The ideal candidate is a full stack engineer with a strong foundation in cloud architecture, application development, and emerging technologies like Generative AI. Youll play a key role in both strategic planning and technical executionhelping to shape infrastructure that supports scientific discovery and healthcare solutions.
Key Responsibilities:
Design and implement scalable cloud infrastructure in AWS, ensuring best practices around security, availability, and performance
Lead end-to-end architecture discussions for infrastructure and platform design
Collaborate with software engineering teams to support full stack application development using Python and React
Spearhead POCs and pilot programs focused on Generative AI technologies
Provide technical leadership, mentorship, and code reviews to ensure high-quality delivery
Drive continuous improvement in CI/CD pipelines, containerization, and cloud-native services
Partner with cross-functional stakeholders to align infrastructure with broader digital transformation initiatives
Required Skills & Experience:
Proven experience as a Full Stack Engineer (Python, React)
Strong expertise in AWS cloud architecture and services
Previous experience in an Architect roledesigning and scaling enterprise-grade solutions
Hands-on experience or strong exposure to Generative AI (e.g., leading or contributing to POCs)
Familiarity with modern DevOps tooling and practices (e.g., Terraform, Docker, Kubernetes, CI/CD pipelines)
Excellent communication and collaboration skills, with the ability to lead discussions across technical and non-technical teams
Location: Raleigh, NC (Hybrid Onsite 3 days/week)
Client Industry: Pharmaceutical
Overview:
Were seeking a Lead Infrastructure Engineer to join a high-impact team supporting a global pharmaceutical organization. This is a hands-on technical leadership role for someone who can architect, build, and guide solutions across modern infrastructure and development stacks, with a keen eye on innovation and AI enablement.
The ideal candidate is a full stack engineer with a strong foundation in cloud architecture, application development, and emerging technologies like Generative AI. Youll play a key role in both strategic planning and technical executionhelping to shape infrastructure that supports scientific discovery and healthcare solutions.
Key Responsibilities:
Design and implement scalable cloud infrastructure in AWS, ensuring best practices around security, availability, and performance
Lead end-to-end architecture discussions for infrastructure and platform design
Collaborate with software engineering teams to support full stack application development using Python and React
Spearhead POCs and pilot programs focused on Generative AI technologies
Provide technical leadership, mentorship, and code reviews to ensure high-quality delivery
Drive continuous improvement in CI/CD pipelines, containerization, and cloud-native services
Partner with cross-functional stakeholders to align infrastructure with broader digital transformation initiatives
Required Skills & Experience:
Proven experience as a Full Stack Engineer (Python, React)
Strong expertise in AWS cloud architecture and services
Previous experience in an Architect roledesigning and scaling enterprise-grade solutions
Hands-on experience or strong exposure to Generative AI (e.g., leading or contributing to POCs)
Familiarity with modern DevOps tooling and practices (e.g., Terraform, Docker, Kubernetes, CI/CD pipelines)
Excellent communication and collaboration skills, with the ability to lead discussions across technical and non-technical teams
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