What are the responsibilities and job description for the Lead AWS Cloud Engineer position at h3 Technologies, LLC?
Lead AWS Cloud Engineer
Candidates must be local to Reston, VA. Travel to the Reston, VA client site is required at least once a week.
Qualifications:
- 10 years of overall experience in IT including hands-on Development and Systems engineering background.
- Bachelor s degree in computer science, Information Technology, or related field; master s degree preferred.
- [5-10] years of experience in cloud engineering and automation, with a focus on AWS cloud services.
- Minimum of 8-10 years of IT experience of which at least 5 years must be in AWS Cloud Automation and Administration.
- Must be well versed in writing Terraform plans, Ansible playbooks, and Python code.
- 3-5 years of experience in a Site Reliability Engineering role
- In-depth knowledge of AWS services and solutions, including but not limited to EC2, S3, RDS, Lambda, VPC, IAM, CloudFormation, and CloudWatch.
- Strong understanding of cloud architecture principles, design patterns, and best practices for building scalable, resilient, and secure cloud environments.
- Proficiency in infrastructure as code (IaC) tools such as Terraform or AWS CloudFormation.
- Exposure to Artificial intelligence patterns and engineering of AWS solutions. Good knowledge of leveraging Amazon Kendra, Lambda, Bedrock, Rag models etc.
- Excellent communication, collaboration, and leadership skills, with the ability to effectively interact with technical and non-technical stakeholders.
- Minimum of 1 AWS certifications (e.g., AWS Certified Solutions Architect, AWS Certified DevOps Engineer is required.
- Experience working in an Agile/Scrum environment preferred.
- 3 years of experience with implementation of Containerization (Kubernetes), Cloud technologies (AWS, Azure, or Google, etc.), DevOps tool chain (Jenkins, Artifactory, bitbucket, etc.), and technical patterns (IaC, Automated Provisioning/Release, CI/CD, etc.)
- Solid understanding of Software coding techniques and experience with
- Hands-on experience with CI/CD pipelines, containerization technologies (e.g., Docker, Kubernetes), and serverless computing is a plus.
- full spectrum of Software engineering (Build, Integration, Test, Releasing and Deployment) leveraging Python.
- Experience in Developing and/or challenging engineering solutions/practices and collaborating with peers within and outside of immediate team, including customers (Developers, Architects, and Engineers).
