Senior DevOps Engineer - Remote AI-Ready Cloud & Security

Akkadian Labs, LLC.

United States

Remote

USD 150,000 - 210,000

Full time

14 days+
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Benefits offered by this job

Medical benefits
Dental and Vision
Life insurance
Disability policies
401(k) matching
Paid time off

Job summary

Akkadian Labs is seeking a hands-on Senior DevOps Engineer to design, build, and strengthen secure, scalable infrastructure across cloud, hybrid, and on-prem environments. You will automate workflows, improve reliability, and enable deployments with strong observability.

You will work with AWS, Docker, Kubernetes, Terraform, and CI/CD tools in a fully remote setting, collaborating with development, QA, and product teams to reduce manual work and operational risk at scale.

Qualifications

  • 10+ years of experience in DevOps or SRE.
  • Strong expertise with AWS services (EC2, ECS, S3, IAM, Lambda, CloudWatch).
  • Infrastructure as Code with Terraform and CloudFormation.
  • Linux proficiency and containerization with Docker & Kubernetes.
  • Experience in AI/ML workloads and model deployment pipelines.

Responsibilities

  • Design, implement, and maintain scalable, secure infrastructure.
  • Develop and manage IaC, CI/CD, and automation pipelines.
  • Ensure observability using Prometheus, Grafana, and ELK.
  • Lead security controls and compliance in DevOps practices.
  • Collaborate with engineering to enable reliable deployments and releases.
  • Support AI model deployment pipelines and budget visibility.

Skills

DevOps
SRE
Python/Bash
CI/CD
Observability
Security

Tools

AWS
Terraform
CloudFormation
Docker
Kubernetes
Prometheus
Grafana
ELK
Jenkins
Bitbucket CI/CD

Job description

Akkadian Labs is seeking a hands-on Senior DevOps Engineer to design, build, and strengthen secure, scalable infrastructure across cloud, hybrid, and on-prem environments. You will automate workflows, improve reliability, and enable deployments with strong observability.

You will work with AWS, Docker, Kubernetes, Terraform, and CI/CD tools in a fully remote setting, collaborating with development, QA, and product teams to reduce manual work and operational risk at scale.

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