Job Summary:

We are seeking a highly skilled DevOps - GCP Architect with extensive experience in Google Cloud Platform (GCP) to lead our cloud infrastructure initiatives. The ideal candidate will have a strong background in DevOps practices, cloud architecture, and a deep understanding of AI/ML models. You will be responsible for designing, implementing, and managing scalable cloud solutions that interface with AI and ML models, while solving complex problems with vague solutions, and guiding the team through unknown technical territories.

Key Responsibilities:

1. Cloud Architecture & Implementation: o Design, build, and maintain scalable and secure cloud infrastructure on GCP to support various applications and services. o Develop and optimize CI/CD pipelines for automated deployments and continuous integration across multiple environments. o Ensure high availability and disaster recovery configurations for missioncritical systems.

2. AI/ML Model Integration: o Work closely with data scientists and AI/ML engineers to integrate machine learning models into production environments. o Design and implement infrastructure for grounding models and interfacing with AI/ML solutions within the GCP environment. o Create wrapper services that allow developers to easily interface with complexmodels and AI-driven features.

3. Service Management: o Stand up new services and ensure they are properly monitored, maintained, and scaled according to business needs. o Manage cloud resources efficiently to balance cost, performance, and security.

4. Problem Solving & Innovation: o Traverse unknown technical territories and lead the team in solving complex problems where solutions are not immediately clear. o Experiment with and implement innovative solutions to address unique challenges in cloud infrastructure and AI/ML integration.

5. Collaboration & Communication: o Work with cross-functional teams to translate loose concepts into actionable development plans. o Provide technical leadership and mentorship to other engineers, fostering a culture of continuous learning and improvement.

6. Security & Compliance: o Ensure all cloud architectures adhere to industry best practices for security and compliance. o Implement and manage security measures, including identity and access management, data encryption, and network security.

Required Skills & Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or a related field.

• Extensive experience with Google Cloud Platform (GCP) and cloud architecture.

• Strong proficiency in DevOps practices, including CI/CD, automation, and infrastructure as code (IaC).

• Experience with AI/ML models, including integrating and deploying them in cloud environments.

• Strong problem-solving skills, with the ability to navigate and resolve issues in ambiguous or undefined technical areas.

• Excellent communication skills and the ability to work effectively in a collaborative environment.

• Proficiency in scripting and programming languages such as Python, Terraform, and Kubernetes.

• Familiarity with security best practices in cloud environments.

IXLY Technologies

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