Akkadian Labs
Computer Software
DevOpsEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“DevOps Engineer at Akkadian Labs. Skills: DevOps, AWS, Linux, Docker, Kubernetes, CI/CD, AI Infrastructure. Support infrastructure deployment. Support infrastructure maintenance”
Industry & Context.
Troubleshoot system issues; Root cause analysis
On-call rotations
What They're Looking For.
Must Have
5+ years of experience in DevOps, Hands-on experience with AWS, Working knowledge of Linux, Familiarity with Docker and Kubernetes, Basic to intermediate scripting ability, Experience building or maintaining CI/CD pipelines, Exposure to monitoring and observability tools, Understanding of secure DevOps practices
Nice to Have
Experience supporting AI workloads, Experience supporting ML workloads, Experience with compute environments, Exposure to AI model deployment pipelines, Experience with model versioning practices, Experience with Terraform or CloudFormation, Familiarity with hybrid cloud environments, Familiarity with on-premises environments, Exposure to security best practices, Experience supporting production systems, Participating in on-call rotations
What You'll Do.
Support infrastructure deployment
Support infrastructure maintenance
Manage infrastructure-as-code
Maintain Linux environments
Contribute to containerization efforts
Contribute to orchestration efforts
Work on AI agent infrastructure design
Work on AI agent infrastructure deployment
Work on AI agent infrastructure management
Provision compute instances
Manage resource scaling
Build model deployment pipelines
Maintain model deployment pipelines
Monitor AI API consumption
Monitor infrastructure costs
Coordinate security guardrail implementation
Manage monitoring efforts
Manage observability efforts
Troubleshoot system issues
Contribute to incident response
Contribute to root cause analysis
Develop strategies for improving reliability
Develop strategies for improving performance
Develop strategies for improving uptime
Build CI/CD pipelines
Maintain CI/CD pipelines
Optimize CI/CD pipelines
Automate operational tasks
Integrate pipelines with Akkadian tools
Follow secure DevOps practices
Assist in implementing security controls
Support compliance initiatives
Support vulnerability remediation
Maintain infrastructure documentation
Maintain process documentation
Maintain operational procedure documentation
Participate in team ceremonies
Participate in continuous improvement initiatives
How You'll Work.
Team & Collaboration
Work with development teams; Work with QA teams; Work with product teams; Work with DevOps teams; Work with engineering teams
Full Job Description
**Who We Are** Akkadian Labs is a Collaboration Lifecycle Automation Platform that services some of the largest global enterprises and government agencies. Our platform currently manual work by up to 90% and costs by as much as 50%, while improving accuracy and governance across leading Unified Communications platforms. This ability to innovate at scale defines who we are: big enough to compete at the highest level, yet agile enough to stay ahead of a rapidly evolving market. Our culture is people-first, fully remote, and rooted in respect, innovation, and teamwork, because when our people thrive, so do our customers. **Who You Are** The DevOps Engineer will support the design, implementation, and maintenance of scalable and secure infrastructure and DevOps processes at Akkadian Labs. You will work with development, QA, and product teams to enable reliable deployments, automate workflows, and improve system observability across Rocky OS-based, AWS-hosted, and on-premises solutions. This is a hands-on technical role focused on execution, continuous improvement, and operational excellence within the DevOps function led by the DevOps Manager. **Key Responsibilities** _Infrastructure and Environment Management_ * Support deployment and maintenance of scalable infrastructure in AWS and hybrid cloud environments. * Assist in managing infrastructure-as-code (IaC) using Terraform, CloudFormation, or similar tools. * Help maintain Linux-based environments. * Contribute to containerization efforts using Docker and orchestration via Kubernetes. * AI and Agent Infrastructure Implementation & Support * Work on the design, deployment and management of AI agent workloads, including provisioning compute instances and managing resource scaling for inference-heavy tasks. * Play a key role in building and maintaining model deployment pipelines, including versioning, testing, and rollback of AI models in production environments. * Monitor AI API consumption and infrastructure costs, im
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