Arena Club Logo

Arena Club

Senior DevOps Engineer

Reposted Yesterday
In-Office
San Francisco, CA, USA
180K-230K Annually
Senior level
In-Office
San Francisco, CA, USA
180K-230K Annually
Senior level
Designs, builds, and operates AWS cloud infrastructure, Kubernetes clusters, CI/CD pipelines, and infrastructure-as-code systems. Develops automation, monitoring, logging, alerting, and incident-response practices while improving reliability, scalability, security, performance, deployment velocity, and developer productivity. The role owns infrastructure initiatives end to end, troubleshoots production incidents, drives root-cause remediation, and partners with engineering teams on operational readiness and DevOps standards.
The summary above was generated by AI
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

Similar Jobs

6 Days Ago
Hybrid
Santa Clara, CA, USA
161K-274K Annually
Senior level
161K-274K Annually
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Build and operate cloud-based AI/ML services using Go or Python. Deploy and scale production Kubernetes environments with Helm and repeatable CI/CD pipelines. Own observability, including metrics, logs, tracing, and alerting; independently resolve incidents, participate in on-call, conduct root-cause analysis, and meet service-level objectives. Collaborate with developers, product managers, quality engineers, and product owners to design, test, and deliver reliable enterprise software.
Top Skills: Ai/MlCi/CdCursorGithub CopilotGoHelmKubernetesPython
Yesterday
Hybrid
181K-317K Annually
Senior level
181K-317K Annually
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Lead the DevOps practice for ServiceNow Otto, owning CI/CD, release automation, Kubernetes infrastructure, observability, reliability, and operational tooling across SaaS environments. Build infrastructure automation, GitOps workflows, and scalable cloud platforms while supporting AI and agentic services in production. Partner with scientists and engineers to improve deployment velocity, security, resilience, troubleshooting, and operational efficiency.
Top Skills: Agentic AiAnsibleArgocdBashCi/CdCursorDockerGenerative AiGithub ActionsGithub CopilotGitopsGoHelmInfrastructure As CodeJenkinsKubernetesKubernetes OperatorsLlmsModel InferencePythonRagTektonTerraformTool Calling
One Month Ago
Remote or Hybrid
USA
Senior level
Senior level
Software
Lead DevOps and SRE initiatives focused on Azure SQL Elastic Pools, cloud infrastructure reliability, observability, automation, high availability, disaster recovery, and incident response. Manage scalable Azure or AWS environments, build infrastructure as code and CI/CD pipelines, optimize performance and costs, develop monitoring and remediation solutions, and mentor junior engineers while partnering across development, security, and database teams.
Top Skills: Arm TemplatesAWSAzureAzure CliAzure DevopsAzure Sql Elastic PoolsBicepCi/CdGithub ActionsGrafanaInfrastructure As CodePowershellTerraform

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account