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Senior DevOps Engineer

Arena ClubSan Francisco🇺🇸United States

Quick overview

SeniorityMid Senior
Work modeHybrid
LocationSan Francisco, United States
DockerGitAWSBashCircleCICloudflareDatadogGitHub ActionsHelmPythonRoot Cause AnalysisTerraformKubernetesCI/CD

Job description

About The Role

We’re seeking a Senior DevOps Engineer to design, build, and operate the infrastructure, deployment systems, and operational tooling that support our platform. In this role, you will own critical components of our cloud and delivery environment, ensuring systems are secure, reliable, scalable, and efficient. You will also drive infrastructure and automation initiatives end-to-end, improving system performance, deployment velocity, and developer productivity.

As a trusted partner to engineering and product teams, you will help enable fast, safe, and resilient product delivery in an environment where your work directly impacts system uptime, performance, and overall platform health.

What You Will Do

  • Design, implement, and maintain CI/CD pipelines for web, backend, and mobile applications to support reliable and repeatable deployment
  • Manage and optimize Kubernetes clusters to ensure high availability, performance, and scalability in a production environment
  • Build and maintain infrastructure as code using Terraform across the AWS environment
  • Design and implement a secure, scalable, and cost-effective cloud architecture leveraging AWS services
  • Develop automation scripts and internal tooling to reduce manual work and improve operational efficiency
  • Establish and maintain advanced monitoring, logging, alerting, and incident response practices using DataDog, CloudWatch, and Cloudflare
  • Troubleshoot production incidents, perform root cause analysis, and implement long-term reliability improvements
  • Identify infrastructure risks, performance bottlenecks, and technical debt, and drive proactive remediation
  • Partner closely with development teams to improve deployment workflows, system observability, and operational readiness
  • Promote DevOps best practices, reliability standards, and operational ownership across the Engineering team
  • Document infrastructure architecture, operational procedures, and system dependencies to support team continuity and resilience

Qualifications

  • 6+ years of experience in DevOps, Site Reliability Engineering, platform engineering, or infrastructure-focused software engineering roles
  • Strong experience designing and operating cloud infrastructure in AWS production environments
  • Hands-on experience managing Kubernetes clusters at scale
  • Proven experience building and maintaining CI/CD pipelines
  • Strong experience with infrastructure as code tools such as Terraform
  • Experience implementing monitoring, logging, and observability solutions in production systems
  • Proficiency in scripting or programming (Python, Bash, or similar)
  • Strong understanding of cloud networking, security best practices, and system reliability principles
  • Ability to independently own infrastructure initiatives from design through implementation and operation
  • Strong problem-solving skills and the ability to communicate technical risks, trade-offs, and operational impacts effectively
  • Ability to operate effectively in a fast-paced startup environment while maintaining system stability and high operational standards

Preferred Qualifications

  • Experience supporting high-growth or high-availability production environments
  • Experience with cost optimization and performance tuning in AWS
  • Experience driving incident management, on-call practices, or reliability improvements

Tech Stack

  • Cloud & Infrastructure: AWS (EC2, EKS, S3, RDS, ECR, etc.)
  • Containerization & Orchestration: Docker, Kubernetes
  • Package Management & Artifact Repository: Helm, ChartMuseum, ECR
  • Infrastructure as Code: Terraform
  • CI/CD: GitHub Actions, CircleCI or similar pipeline tooling
  • Secrets & Configuration Management: AWS SSM, AWS Secrets Manager, External Secret Operator
  • Monitoring & Security: DataDog, Sentry, Cloudflare, AWS CloudWatch
  • Scripting & Automation: Python, Bash

The base salary range listed is a guideline. Actual compensation is determined based on skills, experience, and the impact you bring. Total compensation includes base salary, bonus, and equity.

Salary Range
$180,000—$230,000 USD

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