Job Description Summary

Job Description

Scope:

The Lead DevOps Engineer is responsible for driving the DevOps transformation for multiple GEV Grid Automation products and development/operations teams. This role focuses on infrastructure, cloud technologies, and Generative AI tools, collaborating across corporate teams and business-specific stakeholders to ensure seamless alignment with organizational objectives. The role also contributes to improving DevOps KPIs on code quality & security, test automation, coverage, traceability and CI/CD.

Major Responsibilities:

·        Drive DevOps best practices to optimize software development and deployment processes and update those best practices documentation.

·        Design, deploy, and manage scalable Cloud infrastructure using AWS or Azure platforms.

·        Contribute to the implementation and tracking of DevOps maturity to drive continuous improvement.

·        Apply Agile process knowledge to enhance workflow management and team collaboration.

·        Work closely with product teams to find the right trade-off between the business-specific needs and state-of-the-art CI/CD best practices.

·        Provide solutions to increase visualization, reduce occurrences of errors and improve customer experience.

·        Act as a mentor for the product teams and for DevOps junior peers.

·        Evaluate technologies by Analysis of Alternatives and implement Proof of Concepts to quickly validate before implementation.

·        Be proactive and spawn temporary working groups for specific topics.

·        Collaborate with peers in all GEV Grid Automation businesses around the globe.

Basic Qualifications:

·        Bachelor’s or master’s degree in computer science, Engineering, or a related field with minimum of 6+ years hands-on experience in DevOps and Cloud roles.

·        Hands-on experience in scripting languages such as Shell, Bash, Terraform, Cloud Formation, or Python.

·        Hands-on on monitoring Cloud resources like compute, memory

·        Hands on experience in AWS or Azure Cloud platforms and K8s cluster

·        Excellent communication, interpersonal and problem-solving skills and ability to work independently and collaboratively.

·        Adaptability to new technologies and methodologies.

Desired:

·        Certifications in relevant technologies or platforms.

·        Experience in the Energy or Industrial IoT sectors.

·        Embrace the GE Vernova Way of Working principles:

o   Innovation: Contribute to creative solutions and advancements in technology.

o   Customers: Focus on delivering outstanding value and service.

o   Lean: Apply efficient processes to maximize productivity.

o   One Team: Collaborate effectively across diverse teams and disciplines.

o   Accountability: Take responsibility for achieving excellence in all tasks and projects.

Additional Information