About CloudiQS:

CloudiQS is a dynamic, cloud-native solutions provider specializing in AWS services, digital transformation, and AI/ML-driven business solutions. As a forward-thinking company, we focus on delivering innovative cloud solutions that help businesses scale and succeed. We are expanding our DevOps team and are seeking a talented AWS DevOps Engineer with experience in Generative AI (GenAI) technologies to join us in delivering high-impact projects for our growing customer base.

Role Overview:

We are looking for an experienced AWS DevOps Engineer who has a strong background in cloud-native architectures, DevOps practices, and hands-on experience with Generative AI (GenAI) tools and services on AWS. In this role, you will collaborate with cross-functional teams to design, deploy, and manage scalable, secure, and cost-effective cloud infrastructures. You will be responsible for integrating cutting-edge AI/ML workflows, including Generative AI models, and driving innovation in both our internal projects and client solutions.

Key Responsibilities:

• Design, implement, and manage cloud infrastructure on AWS using best practices.
• Automate deployment pipelines and infrastructure provisioning using tools such as Terraform, CloudFormation, and AWS CDK.
• Optimize cloud resources for cost efficiency, scalability, and high availability.
• Implement and manage AI/ML workflows, including integration with AWS services such as Amazon Bedrock, SageMaker, Lambda, and others.
• Collaborate with data scientists and developers to deploy and manage GenAI models and applications in production environments.
• Maintain CI/CD pipelines to ensure rapid, efficient deployment of software.
• Monitor, troubleshoot, and resolve production issues to ensure high availability and performance.
• Ensure AI/ML models are deployed in compliance with security and privacy standards, including GDPR and other regulatory requirements.
• Automate cloud infrastructure provisioning, scaling, and monitoring to improve operational efficiency.
• Provide hands-on support for deploying, optimizing, and integrating AI-based applications such as text analysis, image recognition, and generative AI.
• Drive continuous improvements in DevOps practices and suggest better tools and processes.

Required Skills & Experience:

• Proven experience as an AWS DevOps Engineer, with a strong focus on cloud infrastructure and automation.
• Hands-on experience with AWS services such as EC2, S3, Lambda, EKS, ECS, RDS, VPC, CloudFormation, and IAM.
• Experience in managing AI/ML workflows on AWS, including working with Amazon Bedrock, SageMaker, and other AI/ML services.
• Familiarity with GenAI tools and frameworks, and experience deploying them in cloud environments.
• Strong knowledge of Infrastructure-as-Code (IaC) using Terraform, CloudFormation, or AWS CDK.
• Proficiency in scripting languages such as Python, Bash, or Shell for automation tasks.
• Experience with containerization and orchestration using Docker, Kubernetes, and AWS EKS.
• Solid understanding of cloud security best practices and AI/ML security considerations.
• Ability to troubleshoot complex cloud and AI-related issues, ensuring high availability and performance.
• Strong communication and collaboration skills to work with both technical and non-technical teams.

Preferred Qualifications:

• Experience with popular GenAI tools and frameworks like GPT, DALL*E, and BERT.
• Familiarity with data privacy regulations such as GDPR and CCPA.
• Knowledge of monitoring tools such as Prometheus, Grafana, and AWS CloudWatch.
• AWS certifications, such as AWS Certified DevOps Engineer or AWS Certified Solutions Architect.
• Experience with other cloud platforms (GCP, Azure) is a plus.

Why Join CloudiQS?

• Work with innovative AWS technologies, including Generative AI, to solve complex business challenges.
• Be part of a collaborative, agile team that thrives on learning and growth.
• Opportunities to grow professionally within a rapidly expanding company.
• Competitive salary, benefits, and flexible working arrangements.

Job Type: Full-time

Pay: £60,471.00-£66,019.00 per year

Benefits:

• Work from home

Experience:

• DevOps: 6 years (preferred)

Work Location: Remote