Cloud Operations Leader

Job Description SummaryWe are seeking a highly skilled Cloud Operations Leader with a strong
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 scalable

Job 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 Information#LI-Remote - This is a remote position