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Aerospike

High-performance NoSQL database for real-time processing

Senior DevOps Engineer

Cloud EngineeringUpdated on Nov 11
Full-time$145k - $170kRemote

About the Job

Requirements

  • At least 5 years of experience in DevOps, site reliability engineering, cloud infrastructure, or a related discipline.
  • Hands-on experience with AWS, Azure, or Google Cloud and a strong understanding of cloud services and architecture.
  • Strong understanding of networking concepts and protocols, including TCP/IP, DNS, VPNs, VLANs, subnetting, routing, and network architecture.
  • Experience with firewall configurations and cloud security groups.
  • Experience with modern CI/CD platforms such as GitHub Actions, Jenkins, GitLab CI/CD, or CircleCI.
  • Experience with cloud security automation and security best practices.
  • Strong proficiency with Terraform, Ansible, or similar infrastructure automation technologies.
  • Hands-on experience with Docker and Kubernetes.
  • Strong scripting and programming skills in Python, Bash, or similar languages.
  • Ability to troubleshoot complex infrastructure and distributed systems.
  • Ability to work effectively across Engineering, Security, and Operations.
  • Demonstrated leadership, ownership, and initiative in establishing DevOps infrastructure, automation, and processes.
  • Desire to learn and stay current with evolving cloud, DevOps, infrastructure, and security technologies.

Responsibilities

  • Build and maintain Infrastructure as Code using Terraform, Ansible, and similar technologies to automate provisioning, configuration, security policies, and infrastructure management.
  • Design, deploy, and manage Kubernetes and containerized environments, including automated deployment, scaling, reliability, and lifecycle management.
  • Manage and evolve cloud infrastructure and networking across multiple environments to support engineering teams.
  • Design and maintain shared networking services, including DNS, API gateways, routing, and related infrastructure, while partnering with Security to implement and enforce network security controls.
  • Build tools, automation, and internal platforms that improve the developer experience, reduce operational toil, and allow engineers to focus on product development.
  • Architect and manage multi-cloud deployment strategies for redundancy, fault tolerance, disaster recovery, and geographic resilience.
  • Balance multi-cloud resiliency with cost optimization, including cross-cloud data transfer and infrastructure redundancy.
  • Design and implement secure secrets management solutions for credentials, API keys, certificates, and other sensitive information.
  • Continuously improve cloud infrastructure, CI/CD pipelines, security practices, scalability, reliability, performance, and cost efficiency.
  • Partner with Engineering, Security, and Operations to establish scalable DevOps practices aligned with business and engineering objectives.
  • Document architecture, design decisions, operational procedures, and cost optimization strategies to make systems easier to understand, operate, and scale.
  • Take ownership of complex infrastructure challenges and proactively identify opportunities to automate, simplify, and improve engineering operations.

Desired Qualifications

  • Experience designing and operating multi-cloud environments.
  • Strong experience with cloud networking and distributed infrastructure.
  • Experience optimizing cloud infrastructure for performance, reliability, and cost.
  • Experience building internal developer platforms, tooling, or automation focused on improving developer productivity and experience.
  • Certified Kubernetes Administrator (CKA) certification.
  • AWS, Google Cloud, or Microsoft Azure certifications.

About the Company

Aerospike

High-performance NoSQL database for real-time processing

Aerospike builds high-performance, scalable NoSQL databases for real-time applications. Its core product is a NoSQL database optimized for speed and low latency, capable of millions of transactions per second, with deployments on-premises, in the cloud, or in hybrid environments, and support for Kubernetes and Docker. It distinguishes itself by delivering real-time, high-throughput data processing at scale with features like cross-datacenter replication, strong consistency, and active-active deployments for enterprise use. The company aims to provide fast, reliable access to large volumes of data for mission-critical applications in real time.

Company size
201-500
Company stage
Late Stage VC
Total funding
$271M
Headquarters
Mountain View, CA
Founded
2009

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