Location: Remote
About CloudiQS
CloudiQS is an AWS Advanced Consulting Partner dedicated to simplifying AWS Cloud for businesses of all sizes. Our mission is to design, build, and operate highly available and scalable cloud infrastructures using Amazon Web Services (AWS). We offer a comprehensive range of services, including cloud migrations, application modernization, cost optimization, Generative AI & MLOps, AWS managed services, AWS security, and participation in the AWS Resell Program.
Job Description:
We are seeking a highly skilled and experienced Senior AWS Technical Architect with a robust engineering background to lead the design and implementation of comprehensive AWS infrastructure solutions. The ideal candidate will possess extensive knowledge across a broad spectrum of AWS services and architectures, including data lakes, DevOps practices, and Generative AI (GenAI) technologies. This customer-facing role requires exceptional communication skills to effectively engage with clients and stakeholders.
Key Responsibilities:
* Architecture Design: Design and implement scalable, secure, and cost-effective AWS infrastructure solutions tailored to meet customer requirements.
* Data Lake Solutions: Develop and manage data lake architectures, ensuring efficient data ingestion, storage, processing, and retrieval.
* DevOps Integration: Implement DevOps best practices, including continuous integration and deployment (CI/CD), infrastructure as code (IaC), and automated monitoring and alerting systems.
* Generative AI Implementation: Collaborate with data science teams to integrate Generative AI models and solutions within the AWS ecosystem.
* Client Engagement- Act as the primary technical liaison for customers, understanding their needs, presenting solutions, and providing ongoing support.
* Technical Leadership - Lead and mentor engineering teams, fostering a culture of innovation and continuous improvement.
* Compliance and Security- Ensure all solutions comply with industry standards and best practices for security and data protection.
Qualifications:
* Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
* Minimum of 8 years experience in AWS architecture and engineering roles.
* Proven expertise in a wide range of AWS services, including but not limited to EC2, S3, RDS, Lambda, Glue, Athena, and SageMaker.
* Strong background in designing and managing data lake solutions on AWS.
* Experience with DevOps tools and practices, such as Terraform, CloudFormation, Docker, Kubernetes, and CI/CD pipelines.
* Familiarity with Generative AI technologies and their integration within cloud environments.
* Excellent problem-solving skills and the ability to think strategically about business, product, and technical challenges.
* Exceptional communication and interpersonal skills, with a proven ability to engage effectively with clients and stakeholders.
* AWS Certified Solutions Architect – Professional or equivalent certification is preferred.
Preferred Skills:
* Experience with machine learning frameworks and tools.
* Knowledge of compliance standards such as GDPR, HIPAA, and SOC 2.
* Proficiency in scripting languages like Python, Bash, or PowerShell.
* Understanding of networking concepts and security protocols within AWS.
Why Join CloudiQS?
* Innovative Environment: Be part of a team that leverages cutting-edge AWS technologies to deliver impactful solutions.
* Professional Growth: Opportunities for continuous learning and advancement in a supportive and collaborative setting.
* Diverse Projects: Engage in a variety of projects across different industries, enhancing your skill set and experience.
* Customer-Centric Approach: Work closely with clients to understand their needs and deliver tailored solutions that drive success.
If you are passionate about AWS technologies and have a strong desire to drive innovation and excellence, we invite you to apply for the Senior AWS Technical Architect position at CloudiQS.
Job Types: Full-time, Part-time
Pay: £77,500.00-£120,000.00 per year
Expected hours: 40 per week
Additional pay:
* Performance bonus
Benefits:
* Employee discount
* Work from home
Schedule:
* Monday to Friday
Work Location: Remote