background in architecture and cybersecurity to join our dynamic team. This mission-based role
involves designing, implementing, and maintaining robust DevOps pipelines that support the
development and deployment of AI and machine learning for commercial applications. The
ideal candidate will have a deep understanding of cloud architecture principles and
cybersecurity practices, ensuring that our systems are secure, resilient, and scalableJob Description
Key Responsibilities:
• Design and implement CI/CD pipelines to streamline the development and deployment
of AI/ML applications.
• Collaborate with cross-functional teams to develop architecture solutions that meet
business needs while ensuring system security and scalability.
• Define & apply DevSecOps best practices by integrating cybersecurity best practices into
the DevOps processes, ensuring the confidentiality, integrity, and availability of data and
systems.
• Define best practices & automate infrastructure provisioning and management using
tools such as Terraform, Ansible, or equivalent.
• Define best practices & monitor system performance and reliability, implementing
improvements as needed.
• Stay current with emerging DevOps, cybersecurity, and AI/ML trends and technologies,
applying them to enhance our systems and processes. Participate in potential working
groups for Cloud in the Energy industry.
• Conduct regular security assessments and audits, addressing vulnerabilities and
ensuring compliance with industry standards and regulations.
• Mentor and guide junior team members, fostering an environment of continuous
learning and improvement.
Qualifications:
• Bachelor's degree in Computer Science, Engineering, or a related field.
• Proven experience as a DevOps EngineerLeader, with a strong emphasis on architecture
and cybersecurity.
• Extensive experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and
containerization technologies (e.g., Docker, Kubernetes).
• Strong understanding of AI and machine learning concepts and their application in real-
world scenarios.
• Proficiency in scripting and automation using languages such as Python, Bash, or similar.
• Excellent problem-solving skills and the ability to work effectively in a fast-paced, collaborative environment.
Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
Preferred Qualifications:
• Certifications in DevOps, cloud platforms, or cybersecurity (e.g., AWS Certified DevOp Engineer, Certified Kubernetes Administrator, CISSP).
• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and data
engineering tools.
• Familiarity with compliance standards such as NIST, HIPAA, or equivalent.
• Experience in the Grid industry,
Additional InformationRelocation Assistance Provided: No
Top Skills
What We Do
GE Vernova is a planned purpose-built company on a mission to electrify the planet while simultaneously working to decarbonize it.
If we want our energy future to be different…we must be different.
Our mission is embedded in our name. We retain our treasured legacy, “GE,” in our name as an enduring and hard-earned badge of quality and ingenuity. “Ver” / “verde” signal Earth’s verdant and lush ecosystems. “Nova,” from the Latin “novus,” nods to a new, innovative era of lower carbon energy that GE Vernova will help deliver.
GE Vernova brings together GE’s portfolio of energy businesses including Power, Wind, Electrification and Digital businesses. With focus, GE Vernova is accelerating the path to more reliable, affordable, and sustainable energy, while helping our customers power economies and deliver the electricity that is vital to health, safety, security, and improved quality of life.
Together, we have The Energy to Change the World.
Why Work With Us
Join our team, to evolve and grow, surrounded by some of the brightest minds in the industry who help you get better every day. You’ll get the chance to rewrite the rules, work on cutting-edge technology, and be part of a global team for positive change.
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