Akeyless Security Logo

Akeyless Security

DevOps Engineer- US

Reposted 10 Days Ago
Remote
Hiring Remotely in United States
140K-170K Annually
Mid level
Remote
Hiring Remotely in United States
140K-170K Annually
Mid level
As a Site Reliability Engineer at Akeyless, you'll manage a multi-cloud SaaS platform, ensuring performance, reliability, and security while addressing issues and integrating new tools.
The summary above was generated by AI

Location: USA - 100% remote, East Coast Preferred

Akeyless Security delivers a cloud-native SaaS platform that integrates Vaultless Secrets Management with Certificate Lifecycle Management, Next Gen Privileged Access Management (Secure Remote Access), and Encryption Key Management to manage the lifecycle of all machine identities and secrets across all environments. 

Trusted by Fortune 100 companies and industry leaders, Akeyless is redefining identity security for the modern enterprise, delivering the world’s first unified Secrets & Machine Identity platform designed to prevent the #1 cause of breaches - compromised identities and secrets. Backed by the world’s leading cybersecurity investors and global financial institutions including JVP, Team8, NGP Capital, and Deutsche Bank. 

We are looking for a passionate and skilled DevOps Engineer to join our team. The ideal candidate is a proactive problem-solver with extensive experience in architecting and maintaining high-scale, production grade SaaS environments across multiple cloud providers.

As a DevOps Engineer at Akeyless, you will be part of a high-performing team, leading the company infrastructure. You will work in a dynamic and agile environment with the most cutting edge technologies.

Responsibilities:

  • Design and plan large-scale, multi-cloud (GCP, AWS, Azure) production architectures, ensuring compliance with strict SLAs.
  • Implement and maintain CI/CD pipelines to support multiple development teams.
  • Automate infrastructure provisioning using tools like Terraform, and leveraging GitOps methodologies.
  • Establish best practices for observability, logging, and alerting using technologies such as Prometheus, CloudWatch, Splunk, and Datadog.
  • Drive continuous improvement in system reliability, scalability, and cost efficiency across all environments.
  • Mentor engineers, fostering a strong DevOps culture and establishing standard practices within the organization.
  • 4+ years of hands-on DevOps experience.
  • Proven expertise in major Cloud environments (e.g., AWS, GCP, Azure).
  • Demonstrated experience with Kubernetes and Docker in high-scale production environments.
  • Experience in deploying and maintaining high-scale SaaS production infrastructure.
  • Proficiency with CI/CD tools (e.g., GitHub Actions, Jenkins, GitLab) and ArgoCD.
  • Experience in configuration management, particularly with Terraform.
  • Familiarity with monitoring stacks (e.g., Datadog, Splunk, Prometheus/Grafana, Coralogix).
  • A proactive, self-starter capable of independent task planning and execution, while maintaining a collaborative and effective team presence.
  • A strong passion for innovation and creative problem-solving.
  • Solid experience with Linux.

Valued Qualifications (Advantages):

  • Good understanding of security infrastructure, secured coding, and/or related certifications.
  • Experience in B2B Cyber Security, Cloud Security, Identity & Access Management, or Encryption Keys Management.
  • Experience in CloudGov and FedRAMP environments.
  • Networking knowledge, including Protocols (e.g., TCP/IP, HTTP) and Network Operations.
  • Strong ability for root cause analysis and big-picture thinking.
  • Leveraged AI-driven automation to enhance DevOps workflows, improving system reliability, deployment speed, and operational efficiency.
  • Participation in product integration processes with global clients (remote and on-site).

Base salary: $140K-$170K

In addition: Company Stock Options + Benefits

The compensation package depends on experience

Top Skills

AWS
Azure
Docker
GCP
Go
Kubernetes
Multi-Cloud Infrastructure
Python
Shell

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