Lead AI Platform Engineer

🕒 February 27

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Grantek

201 - 500 employees

Founded 1980

🏢 Enterprise

💊 Pharmaceuticals

Enterprise • Pharmaceuticals • Food & Beverage

Grantek is a company specializing in providing advanced digital solutions and services for manufacturers in the life sciences, pharmaceuticals, food & beverage, and consumer packaged goods (CPG) sectors. With over four decades of experience, Grantek offers a range of services including smart manufacturing, industrial IT and cybersecurity, integration services, and packaging automation. Grantek is committed to advancing Industry 4. 0 and smart manufacturing practices, helping businesses fully leverage modern technologies for increased efficiency and effectiveness. The company operates globally, offering consulting and turn-key solutions for safety, data integrity, and cloud enablement, while also addressing complex business and manufacturing challenges.

📋 Description

• Define, implement, and maintain standardized SDLC and DevSecOps frameworks across engineering and software development teams • Govern and continuously improve enterprise development toolchains, including GitHub Enterprise, CI/CD pipelines, and Infrastructure-as-Code platforms such as Terraform and Pulumi • Design, build, and maintain reusable AI code libraries and modular components to accelerate software delivery • Embed security, compliance, and quality controls throughout the development lifecycle using automated testing, code reviews, and version control practices • Partner with IT and Digital Enablement teams to align infrastructure, licensing, and cybersecurity standards with platform requirements • Develop and maintain documentation, training materials, and enablement programs to support adoption across teams • Collaborate with project managers, consulting leaders, and delivery teams to align platform standards with project execution • Track and report key performance indicators related to platform adoption, deployment velocity, code reuse, and compliance • Lead continuous improvement initiatives to enhance scalability, reliability, and engineering efficiency • Research and evaluate emerging technologies, including AI-assisted development tools and automation frameworks • Mentor and guide technical staff within platform engineering

🎯 Requirements

• Senior-level experience in platform engineering, DevOps, or software engineering leadership roles • Proven experience implementing enterprise-grade SDLC and DevSecOps governance frameworks • Strong expertise in CI/CD pipelines, Infrastructure-as-Code, and automation practices • Hands-on experience with GitHub Enterprise, automated testing, and deployment workflows • Experience with containerization, virtualization, and environment orchestration • Strong understanding of cybersecurity best practices, compliance requirements, and secure software development • Experience managing version control, licensing compliance, and intellectual property protection • Familiarity with AI-assisted development tools such as GitHub Copilot or similar platforms

🏖️ Benefits

• competitive and comprehensive compensation package • retirement plan • company paid benefits • flexible work hours • education/career development program

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