DevOps Engineer

  • Menlo Park, CA
  • Posted 15 days ago | Updated 19 hours ago

Overview

On Site
Depends on Experience
Full Time

Skills

GitHub
Collaboration
Kubernetes
ROOT
Python
Jenkins
Docker
Amazon S3
DevOps
Cloud Computing
Amazon Web Services

Job Details

Job Title: DevOps Engineer

Location : Menlo Park, CA ( Onsite local to Bay Area, Candidate only )

Position Type : Full Time

Interview Type : In-person Interview

Job Description:

Client is looking for a skilled and motivated DevOps Engineer to join our growing team in Menlo Park, CA. As a DevOps Engineer, you will play a critical role in automating infrastructure, streamlining CI/CD processes, and maintaining the scalability and reliability of our cloud-native platforms.

Key Responsibilities:
  • Design, build, and manage scalable, secure, and highly available cloud infrastructure (AWS preferred)

  • Develop and maintain CI/CD pipelines using tools like Jenkins, GitHub Actions, or similar

  • Automate infrastructure provisioning using Infrastructure as Code (Terraform, CloudFormation)

  • Containerize applications and manage deployments using Docker and Kubernetes (EKS preferred)

  • Monitor systems and applications using tools like Prometheus, Grafana, CloudWatch, Datadog, or ELK stack

  • Implement security best practices and ensure compliance with internal and external policies

  • Troubleshoot infrastructure and deployment issues and provide root cause analysis

  • Collaborate with cross-functional teams to deliver high-quality software solutions efficiently

Required Skills:
  • 5+ years of experience in DevOps, SRE, or Cloud Engineering roles

  • Strong expertise in AWS cloud services (EC2, S3, RDS, IAM, VPC, etc.)

  • Proficient with CI/CD tools such as Jenkins, GitHub Actions, or GitLab CI

  • Experience with containerization (Docker) and orchestration (Kubernetes/EKS)

  • Hands-on with IaC tools like Terraform, CloudFormation, or Pulumi

  • Scripting experience with Shell, Python, or Go

  • Familiarity with monitoring/logging tools like Prometheus, Grafana, CloudWatch, ELK, or Datadog

  • Strong problem-solving skills and a proactive attitude

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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