Ziventra AI Ventures Logo

Ziventra AI Ventures

Devops Engineer

Posted Yesterday
Remote
Hiring Remotely in United States
Senior level
Remote
Hiring Remotely in United States
Senior level
Designs and operates scalable AWS cloud platforms using Golang, Kubernetes, Terraform, and Docker. Responsibilities include infrastructure provisioning, CI/CD automation, container orchestration, monitoring, observability, incident response, root cause analysis, security hardening, and reliability improvements. The role participates in on-call rotations, supports production environments, and collaborates with development, security, and architecture teams to promote DevOps, SRE, and cloud-native best practices.
The summary above was generated by AI
Role Overview

We are looking for a highly skilled DevOps / Platform Engineer with strong hands-on experience in Golang, Kubernetes, and AWS to design, build, and operate scalable cloud-native platforms. The ideal candidate will be responsible for CI/CD automation, infrastructure provisioning, container orchestration, monitoring, and incident management in production environments.

Key ResponsibilitiesPlatform & Infrastructure
  • Design, deploy, and manage highly available and scalable infrastructure on AWS

  • Implement Infrastructure as Code (IaC) using Terraform for repeatable and secure deployments

  • Manage and optimize Kubernetes clusters (EKS preferred), including upgrades, scaling, and security hardening

CI/CD & Automation
  • Design and implement end-to-end CI/CD pipelines for microservices and cloud-native applications

  • Automate build, test, security scans, and deployment workflows

  • Ensure best practices for pipeline reliability, performance, and security

Containerization & Orchestration
  • Build, optimize, and manage containerized applications using Docker

  • Implement Kubernetes best practices including deployments, services, ingress, HPA, and resource management

  • Enforce container security and image lifecycle management

Monitoring, Observability & Reliability
  • Implement and maintain monitoring and observability solutions (Prometheus, Grafana, CloudWatch, etc.)

  • Define and monitor SLIs, SLOs, and SLAs

  • Proactively identify performance bottlenecks and reliability risks

Incident Management & RCA
  • Participate in on-call rotations and handle production incidents

  • Lead incident response, troubleshooting, and recovery efforts

  • Perform Root Cause Analysis (RCA) and implement preventive measures

Collaboration & Best Practices
  • Work closely with development, security, and architecture teams

  • Promote DevOps, SRE, and cloud-native best practices across teams

  • Contribute to platform documentation and operational runbooks

Mandatory Technical Skills
  • Strong programming experience in Golang

  • Strong hands-on experience with Kubernetes (production environments)

  • Strong hands-on experience with AWS (EKS, EC2, IAM, VPC, S3, Load Balancers, CloudWatch)

  • Proven experience designing and implementing CI/CD pipelines

  • Expertise in Infrastructure as Code, preferably Terraform

  • Deep understanding of containerization and orchestration best practices

  • Experience with monitoring, logging, and observability tools

  • Solid experience in incident management and root cause analysis

Nice to Have
  • Experience building or supporting cloud-native microservices architectures

  • Knowledge of cost optimization strategies in AWS

  • Exposure to Site Reliability Engineering (SRE) principles

  • Familiarity with security scanning tools and DevSecOps practices

  • Experience with GitOps tools (ArgoCD, Flux)

Required Qualifications
  • Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience

  • 4–8 years of experience in DevOps / Platform / Cloud Engineering

  • Strong problem-solving and troubleshooting skills

  • Excellent communication and collaboration abilities

Similar Jobs

6 Days Ago
In-Office or Remote
Senior level
Senior level
Artificial Intelligence • Machine Learning • Software • Defense
Owns build and deployment automation, platform health, scaling, monitoring, and high-availability DevOps pipelines. The role involves developing self-service tools, expanding a multi-account AWS environment, improving SRE practices, and securing systems for commercial and high-side environments. Requires strong AWS, CI/CD, infrastructure-as-code, containerization, scripting, and monitoring expertise, plus U.S. citizenship and TS/SCI with full-scope polygraph clearance. Travel to a Washington, DC customer site may reach 50%.
Top Skills: AWSAws GovcloudBashDatadogDockerElasticsearchGithub ActionsOpensearchPlg StackPulumiPythonSQLTerraformVpns
An Hour Ago
In-Office or Remote
160K-195K Annually
Mid level
160K-195K Annually
Mid level
Healthtech
Build and maintain Azure infrastructure, CI/CD pipelines, monitoring, deployments, and production operations. Automate workflows with scripting and AI tools, troubleshoot incidents, improve security and cloud costs, document systems, and mentor engineers. The role requires Terraform, Azure DevOps, PowerShell, containers, SQL Server, observability tools, and regular use of AI assistants.
Top Skills: Ai AgentsApplication InsightsAzureAzure Container AppsAzure DevopsClaudeDockerGithub CopilotNew RelicPostgresPowershellSQL ServerTerraform
Yesterday
Remote
2 Locations
120K-130K Annually
Mid level
120K-130K Annually
Mid level
Professional Services • Business Intelligence • Consulting • Manufacturing
Build and maintain CI/CD pipelines, infrastructure automation, containerized workloads, and cloud/on-premises systems. Administer Windows Server, Active Directory, Group Policy, IIS, VMware, Linux patching, and SSL/TLS certificates. Monitor and troubleshoot infrastructure, support deployments, manage security hardening and vulnerabilities, maintain documentation and runbooks, and assist with compliance requirements across AWS, Azure, or GCP environments.
Top Skills: AcmeActive DirectoryAdcsAnsibleAWSAzureAzure DevopsAzure Vmware SolutionBashCis BenchmarksDatadogDhcpDnsDockerElkEsxiFedrampFirewallsGCPGithub ActionsGitlab CiGoGrafanaGroup PolicyHashicorp VaultHelmHipaaHttp/SIisJenkinsKubernetesLinuxLoad BalancersPciPowershellPowershell DscPrometheusPythonSccm/MecmSoc 2SplunkSsl/TlsStigsSystem CenterTcp/IpTerraformVcenterVmotionVmware HcxVmware Nsx-TVmware VsphereWindows Admin CenterWindows ServerWsus

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