From concept to design to execution, be part of the team that gets everyday products to people.
Grantek is a recognized leading provider of integrated automation, smart manufacturing and industrial information solutions in the global marketplace. Our clients are some of the worlds most respected Fortune 100 companies and recognized consumer brands: Mondelez, Brita, Molson Coors, Coca-Cola, Kraft-Heinz, to name a few.
We offer an atmosphere where you can express your creative ideas and talents by working on a variety of projects and technologies. Using today’s leading edge technology, you will partner with clients to solve their most complex manufacturing and industrial information problems.
We offer a competitive and comprehensive compensation package, retirement plan, company paid benefits, flexible work hours, and an education/career development program. The salary range for this position is $150,000 - $175,000 per year, complemented by benefits, bonuses and additional extra hours payments. For more information on what Grantek offers, visit: https://www.greatplacetowork.com/certified-company/1366407
We are committed to providing a positive and healthy corporate culture, one that empowers employees, promotes knowledge-sharing, and encourages strong friendships and social connections amongst all team members. We are a team of dedicated Engineers and Designers with an average of 7 years’ tenure at Grantek. The vast majority of our employees have started off their careers at Grantek and have grown into successful senior team members who are integral to our client's manufacturing processes.
Job Description
The Lead Engineer / Designer, AI Platform Engineering will be responsible for designing, governing, and continuously improving Grantek’s enterprise software development and delivery platforms. This role will own the Software Development Lifecycle (SDLC) and DevSecOps frameworks used across the organization to ensure secure, scalable, and efficient solution delivery.
The Lead Engineer/ Designer will manage the internal development toolchains, reusable code libraries, and automation environments, enabling engineering, consulting, and delivery teams to build consistent, high-quality, and repeatable solutions. This position works closely with IT, Digital Enablement, Engineering, and Delivery teams to support digital transformation and AI initiatives.
Key Responsibilities
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.
Required Qualifications
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.
Preferred Qualifications
Experience working with industrial and digital platform SDKs (e.g., Rockwell Studio 5000, Ignition, Sepasoft MES).
Experience supporting enterprise digital transformation initiatives.
Background in systems integration or large-scale software environments.
Key Skills and Competencies
DevSecOps and SDLC governance
Platform engineering and toolchain standardization
Reusable code library development
Security and compliance by design
Cross-functional collaboration
Technical leadership and mentoring
Process optimization and continuous improvement
Metrics, reporting, and KPI tracking
We are committed to the principals of equal employment opportunity and to fostering a workplace where all Grantekians feel respected and included. To ensure a fair and consistent hiring process, applications are reviewed through a blend of thoughtful human evaluation and trusted AI-assisted tools.
This role has been newly created as part of the company’s expansion and evolving business needs.
