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  • AWS Cloud Platform Engineer - AI/Machine Learning

    System One (Reston, VA)



    Apply Now

    Job Title: AWS Cloud Platform Engineer

     

    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 Joulé, 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.

    #M2

    #LI-CB5

    Ref: #850-Rockville (ALTA IT)

     

    System One, and its subsidiaries including Joulé, ALTA IT Services, CM Access, TPGS, and MOUNTAIN, LTD., are leaders in delivering workforce solutions and integrated services 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 full-time 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.

     


    Apply Now



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