
51 - 200 employees
☁️ SaaS
🏢 Enterprise
📡 Telecommunications
SaaS • Enterprise • Telecommunications
Akkadian Labs is a leading provider of automated provisioning solutions for Unified Communications (UC) environments. They offer a suite of products including Akkadian Provisioning Manager, Console, Contact Manager, and Site Builder, designed to streamline UC adoption, deployment, and management. Their solutions facilitate error-free provisioning across platforms like Webex, Microsoft, and Zoom, helping manage millions of enterprise users efficiently. Akkadian Labs works closely with partners and employs automation to reduce repetitive manual work, enhance security, and achieve quick ROI. They are recognized for their partnership with UC providers and support through an intuitive console that caters to high call volume environments.
🕒 3 days ago
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51 - 200 employees
☁️ SaaS
🏢 Enterprise
📡 Telecommunications
SaaS • Enterprise • Telecommunications
Akkadian Labs is a leading provider of automated provisioning solutions for Unified Communications (UC) environments. They offer a suite of products including Akkadian Provisioning Manager, Console, Contact Manager, and Site Builder, designed to streamline UC adoption, deployment, and management. Their solutions facilitate error-free provisioning across platforms like Webex, Microsoft, and Zoom, helping manage millions of enterprise users efficiently. Akkadian Labs works closely with partners and employs automation to reduce repetitive manual work, enhance security, and achieve quick ROI. They are recognized for their partnership with UC providers and support through an intuitive console that caters to high call volume environments.
• 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. • 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.
• 5+ years of experience in DevOps, Site Reliability Engineering (SRE), or a related role. • Hands-on experience with AWS (e.g., EC2, ECS, S3, IAM, Lambda, 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.
• We offer a fully remote environment • Competitive benefits package including medical, dental, vision • Company-paid life insurance and disability policies • 401(k) with a generous matching program • Paid time off
Apply Now🕒 3 days ago
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