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

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

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