AWS Cloud Platform Engineer - AI/Machine Learning

Overview

On Site
Full Time

Skills

DMV
Innovation
Middleware
Linux Administration
Computer Networking
Management
ProVision
Writing
Linux
Bash
Scripting
Amazon EKS
Git
Crucible
Artificial Intelligence
Machine Learning (ML)
Amazon SageMaker
Systems Engineering
FOCUS
Reliability Engineering
Microsoft Azure
Jenkins
Bitbucket
Provisioning
Ansible
Amazon EC2
Amazon S3
Amazon RDS
Remote Desktop Services
Virtual Private Cloud
Cloud Architecture
Design Patterns
Terraform
Communication
Collaboration
Leadership
DevOps
Agile
Scrum
Software Development
Continuous Integration
Continuous Delivery
Docker
Kubernetes
Spectrum
Software Engineering
Integration Testing
Python
Amazon Web Services
Cloud Computing
Information Technology
Computer Science

Job Details

Job Title: AWS Cloud Platform Engineer
Location:
Reston, VA
Type: 6 + months Contract - good chance of extensions
Contractor Work Model: Hybrid - minimum of onsite 1x monthly, possibly up to 1x weekly - candidates must be located in the DMV area

Preferred Qualifications
Seeking experienced and dynamic AWS Cloud Platform Engineer to provide hands-on technical expertise for supporting our AWS footprint, including Security and Guardrails.
As an AWS Cloud Platform Engineer, you will be responsible for designing, implementing, and integrating our cloud platform resources on Amazon Web Services (AWS). You will collaborate with a team of talented cloud engineers and technology teams to deliver scalable, reliable, and secure cloud solutions that support our company's growth and innovation.
Summary:
Minimum of 10years of IT experience of which at least 5 years must be in AWS Cloud Platform engineering and Administration.
Exposure to Artificial intelligence patterns, Machine Learning and engineering of AWS solutions. Good knowledge of leveraging Amazon Kendra, SageMaker, Lambda, Bedrock, Rag models etc.
Strong Leadership experience with driving Transformation initiatives
3-5 years of experience in a Site Reliability Engineering role
Experience with SRE principles and transformation
3+ years of experience with Containerization (Kubernetes), Cloud technologies (AWS, Azure etc.), DevOps tool chain (Ansible, Jenkins, Artifactory, bitbucket, etc.), and technical patterns (IaC, Automated Provisioning/Release, CI/CD, etc.)
Solid understanding of Software coding techniques and experience with 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 (Dev, Architects, Engineers)
Platform Engineering Lead with Hands -on Experience:
Building robust Middleware Environments
Previous Linux System administration is required.
Must have strong hands-on knowledge of AWS platform and services but not limited to VPC, Networking, Direct Connect, Subnets, NACLs, Security Groups, EC2, S3, IAM, ELBs, Lambda, CloudWatch, CloudTrail, EKS etc.
Must Have Hands on current Implementation and Production level experience in AWS Cloud.
Hands on experience with Automation and Infrastructure Provisioning is a must -Our goal is to only provision infrastructure with Code, and Policy As Code.
Must be familiar with Terraform automation, Ansible playbooks, and Python code.
Experience with AWS Cloud Formation and CDK is required.
Must have hands on experience in writing Lambda functions preferably in Python (Boto3).
Must be well versed in writing Linux Bash scripts.
Minimum of One AWS certification is required.
Hands-on experience with Containerization and Amazon EKS is a big plus.
A great understanding of various DevOps toolchains, including Git/repo, Crucible, Jenkins etc.
Solid understanding and experience with a CI/CD tool chain.

Qualifications:
Exposure to Artificial intelligence patterns, Machine Learning and engineering of AWS solutions. Good knowledge of leveraging Amazon Kendra, SageMaker, Lambda, Bedrock, Rag models etc.
10+ years of overall experience in IT including hands-on Development and Systems engineering background.
Bachelors degree in computer science, Information Technology, or related field; masters 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.
3-5 years of experience in a Site Reliability Engineering role
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.)
Must be well versed in Terraform automation, Ansible playbooks, and Python code.
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.

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.
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)

Licenses/Certifications
AWS Cloud certifications, minimum of One is required.
FinOps Certification is a Plus.

Education Level: Bachelor's Degree
Education Details: Information Technology or Computer Science
In Lieu of Education
In lieu of a Bachelor's degree, an additional 4 years of relevant work experience is required in addition to the required work experience.

System One, and its subsidiaries including Joul, ALTA IT Services, and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.

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Ref: #850-Rockville (ALTA IT)

System One, and its subsidiaries including Joul, ALTA IT Services, TeamPeople, and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.