Akkadian Labs

DevOps Engineer

• 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.
• 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, implementing alerting and controls to prevent runaway usage and support budget visibility.
• Coordinate the implementation of infrastructure-level security guardrails for AI systems, including access controls and data isolation for model inputs and outputs.
• Manage monitoring and observability efforts using tools such as Prometheus, Grafana, and the ELK stack.
• Troubleshoot system issues and contribute to incident response and root cause analysis.
• Develop and execute strategies for improving system reliability, performance, and uptime.
• Build, maintain, and optimize CI/CD pipelines using tools such as Jenkins, BitBucket CI/CD, or similar.
• Automate routine operational tasks including builds, testing, deployments, and system updates.
• Work with engineering teams to integrate pipelines with Akkadian tools.
• Follow secure DevOps practices and assist in implementing security controls.
• Support compliance initiatives and vulnerability remediation efforts.
• Work closely with DevOps, engineering, QA, and product teams to support deployments and releases.
• Maintain documentation for infrastructure, processes, and operational procedures.
• Participate in team ceremonies and continuous improvement initiatives.