Akkadian Labs
DevOps Engineer
Rol remoto de DevOps Engineering con fit claro de ubicación del candidato.
Publicado5 jul 2026
Países elegibles1 país aceptado
Señal de senioritySenior
Modelo de trabajoRemoto
Ubicaciones aceptadas para candidatos
Estados Unidos
Resumen del rol
DevOps Engineer
Requisitos y responsabilidades
Contenido del rol extraído en secciones para revisar más rápido.
Key Responsibilities
- 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, 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.
Key Responsibilities
- 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.
Key Responsibilities
- 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.
Key Responsibilities
- Follow secure DevOps practices and assist in implementing security controls.
- Support compliance initiatives and vulnerability remediation efforts.
Key Responsibilities
- 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.
Requirements
- Experience: 5+ years of experience in DevOps, Site Reliability Engineering (SRE), or a related role.
Requirements
- Cloud Expertise: Hands-on experience with AWS (e.g., EC2, ECS, S3, IAM, Lambda, CloudWatch).
Requirements
- Linux Knowledge: Working knowledge of Linux environments.
Requirements
- Containerization: Familiarity with Docker and Kubernetes.
Requirements
- Scripting: Basic to intermediate scripting ability in Python, Bash, or similar languages.
Requirements
- CI/CD: Experience building or maintaining CI/CD pipelines and related tools.
Requirements
- Observability: Exposure to monitoring and observability tools such as Prometheus, Grafana, and ELK.
Requirements
- Security: Understanding of secure DevOps practices and basic compliance concepts.
Requirements
- Experience supporting AI or machine learning workloads, compute environments.
Requirements
- Exposure to AI model deployment pipelines and model versioning practices.
Requirements
- Experience with infrastructure-as-code tools such as Terraform or CloudFormation.
Requirements
- Familiarity with hybrid cloud or on-premises environments.
Requirements
- Exposure to security best practices in DevOps contexts, including AI-specific concerns such as data isolation and access controls.
Requirements
- Experience supporting production systems and participating in on-call rotations.
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