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AWS DevOps Engineer

Savvyan Technologies
Palo Alto, CA Full Time
POSTED ON 2/8/2025
AVAILABLE BEFORE 4/8/2025

Job Details

Greetings from Savvyan Technologies!

Job Description:

We are seeking an experienced AWS DevOps Engineer to join our team at JPMC. The ideal candidate will have expertise in automating infrastructure, managing CI/CD pipelines, and ensuring security and compliance in a cloud environment. You will work closely with development and operations teams to optimize deployments, enhance system performance, and drive cloud automation.

Location: Palo Alto, CA, or Columbus, OH

Client: JPMC

Key Responsibilities:

  • Infrastructure Automation: Design, build, and maintain AWS infrastructure using Terraform or CloudFormation.
  • CI/CD Pipelines: Develop and optimize GitLab CI/CD, Jenkins, or AWS CodePipeline workflows for continuous deployment.
  • Containerization & Orchestration: Manage Docker containers and orchestrate them using Kubernetes (EKS) or AWS ECS.
  • Monitoring & Logging: Implement and maintain monitoring solutions using CloudWatch, Prometheus, Grafana, ELK Stack, or Datadog.
  • Security & Compliance: Enforce security best practices using AWS IAM, KMS, Security Hub, and GuardDuty.
  • Scripting & Automation: Automate repetitive tasks using Python, Bash, or PowerShell.
  • Networking & Security: Configure VPC, subnets, security groups, NACLs, and ensure high availability and scalability.
  • Performance Optimization: Improve cloud resource utilization and optimize application performance.

Required Skills & Experience:

  • 5 years of hands-on experience as a DevOps Engineer in an AWS cloud environment.
  • Expertise in AWS services like EC2, S3, RDS, Lambda, API Gateway, CloudFront, DynamoDB, Route 53, IAM, and CloudFormation.
  • Strong experience with Terraform for infrastructure as code (IaC).
  • Hands-on experience with CI/CD tools like GitLab CI, Jenkins, or AWS CodePipeline.
  • Proficiency in scripting languages like Python, Bash, or PowerShell.
  • Experience with Docker, Kubernetes (EKS), and AWS ECS for containerized applications.
  • Knowledge of monitoring tools such as CloudWatch, Prometheus, Grafana, ELK Stack, or Datadog.
  • Understanding of networking, firewalls, VPNs, and security best practices in AWS.
  • Strong problem-solving skills and ability to troubleshoot performance and deployment issues.
  • Familiarity with compliance frameworks (SOC 2, HIPAA, PCI-DSS) is a plus.
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.

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