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DevOps Engineer

2 months ago
United States
Full-time
Senior
DevOps Engineer
DevOps and Infrastructure
AWS Bash CI/CD CloudFormation Docker EC2 ELK Stack Grafana Jenkins Kubernetes Linux Machine Learning Prometheus Python Terraform
Apply Now
Akkadian Labs

Akkadian Labs

Akkadian Labs is the top UC provisioning automation developer for Cisco Collaboration and Microsoft 365/Teams, offering a streamlined platform for MACD tasks with significant time and cost savings.

Internet Software & Services
51-250
View All Jobs 2

Description

  • Support deployment and maintenance of scalable infrastructure in AWS and hybrid cloud environments.
  • Assist with infrastructure-as-code using Terraform, CloudFormation, or similar tools.
  • Maintain Linux-based environments and support containerization with Docker and orchestration with Kubernetes.
  • Design, deploy, and manage AI agent workloads, including compute provisioning and resource scaling for inference-heavy tasks.
  • Build and maintain model deployment pipelines, including versioning, testing, and rollback of AI models.
  • Monitor AI API consumption and infrastructure costs, and implement alerting and controls to prevent runaway usage.
  • Coordinate infrastructure-level security guardrails for AI systems, including access controls and data isolation.
  • Manage monitoring and observability using Prometheus, Grafana, and the ELK stack.
  • Troubleshoot system issues, support incident response, and perform root cause analysis.
  • Build, maintain, and optimize CI/CD pipelines and automate routine operational tasks such as builds, testing, deployments, and updates.
  • Collaborate with engineering, QA, product, and DevOps teams to support deployments, releases, and continuous improvement.
  • Maintain documentation for infrastructure, processes, and operational procedures.

Requirements

  • 5+ years of experience in DevOps, Site Reliability Engineering (SRE), or a related role.
  • Hands-on experience with AWS services such as EC2, ECS, S3, IAM, Lambda, and CloudWatch.
  • Working knowledge of Linux environments.
  • Familiarity with Docker and Kubernetes.
  • Basic to intermediate scripting ability in Python, Bash, or similar languages.
  • Experience building or maintaining CI/CD pipelines and related tools.
  • Exposure to monitoring and observability tools such as Prometheus, Grafana, and ELK.
  • Understanding of secure DevOps practices and basic compliance concepts.
  • Experience supporting AI or machine learning workloads and compute environments (preferred).
  • Exposure to AI model deployment pipelines and model versioning practices (preferred).
  • Experience with infrastructure-as-code tools such as Terraform or CloudFormation (preferred).
  • Familiarity with hybrid cloud or on-premises environments (preferred).
  • Exposure to security best practices in DevOps contexts, including AI-specific concerns such as data isolation and access controls (preferred).
  • Experience supporting production systems and participating in on-call rotations (preferred).

Benefits

  • Fully remote work environment.
  • Competitive benefits package.
  • Medical, dental, and vision insurance.
  • Company-paid life insurance and disability coverage.
  • 401(k) with a generous matching program.
  • Paid time off.

Interested in this position?

Apply directly on the company website

Apply Now

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