Senior AWS Engineer Hybrid

Overview

Hybrid
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - 12 Month(s)
No Travel Required

Skills

Cloud Native Architecture
Linux
Shell scripting
Network
Security
Plugins
AWS
EC2
S3
EBS
EFS
IAM
VPC
Lambda
cloudera
DevOps
Ansible
AWS Cloud formation
CDK.
Python
Java
Groovy
Go
Terraform automation
Ansible playbooks
Python code.
terraform

Job Details

Vega Consulting Solutions is Hiring! We are staffing several AWS Cloud Engineering position with our direct client. Candidates will be required to commute to Reston, VA once a week.

AWS Cloud Platform Engineers 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.

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.
    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.
  • Exposure to Artificial intelligence patterns, Machine Learning and engineering of AWS solutions. Good knowledge of leveraging Amazon Kendra, SageMaker, 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.
  • 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

Skills Required:

  • Development: Experience programming with one or more languages: Python, Java, Groovy, Go, etc.
  • IAC Tools for Platform Automation: Strong skills and experience in at least one: Ansible, and Terraform, AWS Cloud formation, CDK.
  • Containers: Docker or other OCI-certified containers- is a Plus
  • Container Orchestration Platform: Experience with Kubernetes, AWS EKS, AWS ECS is a plus.
  • CNI Plugins: Calico, Flannel, Weave Net etc.
  • Service Mesh: Istio, AWS App Mesh, OpenShift Service Mesh etc.
  • Container Security Tools: Twistlock, Sysdig, Aqua etc. is a plus,
  • Platform Monitoring, Observability, & Performance Tools: Nginx, New Relic, AppDynamics, Data Dog, Thanos, Jaeger, LogDNA, etc.
  • DevOps Tools: Git/Repo, Crucible, Bitbucket, Jira, Ansible, Puppet, Jenkins, ArgoCD, Bamboo, Maven, Artifactory, Nexus etc
  •  

Understanding of Cloud Native Architecture

Linux, Shell scripting, and general admin skills
Network, Security, Plugins, & Storage Skills
AWS skills: EC2, S3, EBS, EFS, IAM, VPC, Lambda etc.
Cloud and DevOps certifications, e.g., AWS

If your background matches the above skill set - select apply now - and a Vega staffing Specialist will reach out to you.

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