Overview
Skills
Job Details
Senior AWS Cloud Engineer
Location: Remote till contract, 5 days onsite on conversion.
- Plano, TX 75023
- Mclean, VA 22102
Duration: 3 Months temp to hire
Must Have Qualifications:
- AWS Cloud engineering is required
- Some AI/ML technologies-set up and knowledge
- Operation and engineering scripting
- Python development, Automation
- Cloud Based Services
- Cloud Based Solutions
- Cloud Computing
- Information Security
Position Overview:
The Senior Cloud Experience Engineer will be an integral part of the CTS Shared Services team, dedicated to enhancing customer outcomes through strategic cloud adoption and integration of Generative AI capabilities. This role focuses on optimizing infrastructure abstraction, automation, and scaffolding to ensure seamless cloud experiences.
Key Objectives:
- Ensure Client gains value from infrastructure abstraction and simplification layers, automation, and scaffoldings.
- Guarantee that templates, pipelines, and other pattern fodder are created and maintained by the product owners.
- Partner with security, platform, network, and vendors to ensure strategic alignment is maintained.
Key Responsibilities:
- Design and implement cloud solutions that drive simplification and automation, enhancing the overall customer experience.
- Collaborate with product owners to develop and maintain templates, pipelines, and other necessary components.
- Work closely with cross-functional teams including security, platform, and network to ensure cohesive strategy execution.
- Monitor and optimize cloud infrastructure to ensure maximum performance and cost-efficiency.
- Lead initiatives to integrate Generative AI capabilities into cloud solutions, enhancing the value proposition for customers.
- Stay abreast of industry trends and emerging technologies to continuously improve cloud strategies and solutions.
Qualifications:
- Proven experience in cloud engineering or architecture roles.
- Strong understanding of cloud platforms and services.
- Experience with AI/ML technologies is a plus.
- Excellent communication and collaboration skills.
Reference of skill set / Level at they are using :
Skill Category | Required Skills | Proficiency Level |
Cloud Architecture | Design and implementation of cloud infrastructure solutions | Expert |
| Experience with cloud platforms (AWS, Azure, Google Cloud) | Advanced |
| Infrastructure as Code (IaC) using tools like Terraform or CloudFormation | Advanced |
Automation | Development of CI/CD pipelines | Advanced |
| Scripting and automation using Python, Bash, or similar languages | Advanced |
| Understanding of container creation, usage and management | Advanced |
Security | Cloud security best practices | Intermediate |
| Collaboration with security teams to ensure compliance | Intermediate |
Networking | Understanding of cloud networking concepts | Intermediate |
| Collaboration with network teams for strategic alignment | Intermediate |
AI Integration | Experience with integrating AI/ML capabilities into cloud solutions | Intermediate |
| Understanding of Generative AI concepts and applications | Intermediate |
Collaboration | Strong communication skills for cross-functional teamwork | Advanced |
| Ability to partner with vendors and stakeholders to maintain strategic alignment | Advanced |
Problem Solving | Analytical skills to identify and resolve complex cloud-related issues | Advanced |
| Innovative thinking to enhance customer outcomes | Advanced |
Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.