AWS Cloud Site Reliability Engineer - Philadelphia, PA

Overview

On Site
$100,000 - $130,000
Full Time

Skills

AWS
Site Reliability
EC2
CI/CD
Jenkins
Terraform
Git
Helm
Kubernetes
Lambda
Data Lakes
S3
jFrog
VPC

Job Details

Note: This is a fulltime and onsite/hybrid opportunity.

Job Role: AWS Cloud Site Reliability Engineer
Location: Philadelphia, PA

Job Description

Must Have Technical/Functional Skills:

  • Design, implement, and manage scalable, secure, and resilient infrastructure on AWS.
  • Expertise in various AWS services (e.g., EC2, S3, Route 53, Load Balancer, ASG, ACM, RDS, AWS Batch, CloudWatch Logs & Metrics, etc.) with 5+ years experience working in AWS infrastructure.
  • 5+ years of working experience in leveraging AWS Serverless services (e.g., Lambda, API Gateway, Step Functions), Data Lake services (e.g., S3, Glue, Lake Formation, Redshift), and Machine learning services (e.g., Sagemaker).
  • 5+ years of working experience in Container-based services (e.g., Kubernetes/EKS, ECR, Docker) managed using Helm chart.
  • Develop and maintain Infrastructure as Code (IaC) using Terraform with 5+ years working experience in Terraform.
  • Ensure best practices in version control using Git/GitHub.
  • Build and optimize CI/CD pipelines for efficient and reliable software delivery using Jenkins, uDeploy, and Manage Artifacts using jFrog, minimum of 3+ years of working experience.
  • Manage and troubleshoot VPCs, networking configurations, and hybrid cloud connectivity.
  • Administer and support Linux and Windows-based systems in cloud environments.
  • Write and maintain automation scripts using Bash and Python.
  • Collaborate with enterprise architects to align infrastructure with business and technical goals.
  • Interpret and contribute to infrastructure diagrams and technical documentation.
  • Participate in incident response, root cause analysis, and on-call rotations.
  • Integrate and manage SSO (Single Sign-On) solutions for secure access control.
  • Collaborate with development, QA, and DevOps teams to ensure smooth deployment processes.

Roles & Responsibilities:

  • Design, implement, and maintain scalable and secure AWS cloud infrastructure to support a variety of applications and services.
  • Collaborate closely with cross-functional teams, including software engineers and DevOps professionals, to architect and deploy AWS solutions that meet project requirements.
  • Conduct regular performance monitoring and optimization of AWS resources to ensure cost efficiency and reliability.
  • Stay updated on the latest AWS services, features, and best practices, incorporating them into cloud architecture and development processes.
  • Implement and enforce AWS security measures, including IAM policies and access controls, to protect sensitive data and infrastructure.
  • Experience in code development in at least one programming language (preferably Python).
  • Strong experience with using infrastructure as code (Terraform).
  • Strong experience with Configuration Management Tool (Ansible).
  • Extensive knowledge of Jenkins, CI/CD pipeline, and tools like uDeploy.
  • Experience working in Kubernetes/EKS.
  • Actively participate in code reviews, providing feedback on AWS infrastructure as code (IAC) and configurations to enhance system stability and security.
  • Troubleshoot and resolve AWS-related issues, ensuring the uninterrupted operation of applications and services hosted on AWS.

ABOUT Ztek:

Website:

Ztek Consulting Inc is a minority- and woman-owned business enterprise that leverages a unique blend of human talent, machine learning algorithms, and artificial intelligence to provide customized talent management solutions for clients. Ztek s diversity-focused hiring models have proven successful, particularly in hiring veterans. The company's veteran-focused hiring and deployment program, Z-V.E.T, matches skilled veterans with clients' needs in various areas.

Ztek Consulting | Talent Matters

Ztek is a minority and woman-owned business enterprise that provides customized talent management solutions for clients.

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.