DevOps Engineer
Akkadian Labs
DevOps EngineerAkkadian 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.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 ResponsibilitiesSupport 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.
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$127.89k - $170.52k
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$55 - $65 per hour
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$105.4k - $207.8k
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$155k - $199k
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