
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.
🔥 0 minutes ago
Improve your chances of getting an interview by checking your resume score before you apply.

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. • Play a key role in building and maintaining model deployment pipelines including versioning, testing, and rollback of AI models. • Monitor AI API consumption and infrastructure costs, implementing alerting and controls. • 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. • Build, maintain, and optimize CI/CD pipelines using tools such as Jenkins, BitBucket CI/CD, or similar. • Follow secure DevOps practices and assist in implementing security controls. • Work closely with DevOps, engineering, QA, and product teams to support deployments and releases. • Maintain documentation for infrastructure, processes, and operational procedures.
• Experience: 5+ years of experience in DevOps, Site Reliability Engineering (SRE), or a related role. • Cloud Expertise: Hands-on experience with AWS (e.g., EC2, ECS, S3, IAM, Lambda, CloudWatch). • Linux Knowledge: Working knowledge of Linux environments. • Containerization: Familiarity with Docker and Kubernetes. • Scripting: Basic to intermediate scripting ability in Python, Bash, or similar languages. • CI/CD: Experience building or maintaining CI/CD pipelines and related tools. • Observability: Exposure to monitoring and observability tools such as Prometheus, Grafana, and ELK. • Security: Understanding of secure DevOps practices and basic compliance concepts. • Preferred Qualifications: Experience supporting AI or machine learning workloads, compute environments. • Exposure to AI model deployment pipelines and model versioning practices. • Experience with infrastructure-as-code tools such as Terraform or CloudFormation. • Familiarity with hybrid cloud or on-premises environments. • Exposure to security best practices in DevOps contexts, including AI-specific concerns such as data isolation and access controls. • Experience supporting production systems and participating in on-call rotations.
• 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 hours ago
SRE managing scalable content operations infrastructure for AI-powered platform. Collaborating with dev teams and ensuring reliability for high request volume systems.
🔥 13 hours ago
Senior Full Stack Software Engineer in Agile teams supporting federal technology initiatives. Responsible for building secure, scalable, cloud-native applications using modern tech stacks.
🇺🇸 United States – Remote
💵 $90k - $135k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
⛑ DevOps & Site Reliability Engineer (SRE)
🦅 H1B Visa Sponsor
🔥 17 hours ago
Senior DevSecOps Engineer at Cayuse enhancing security and reliability of cloud-based SaaS products. Leading vulnerability management program and mentoring team members in secure development practices.
🔥 19 hours ago
Site Reliability Engineer supporting operational deployments and maintenance for Core Speech products at Solventum. Collaborating with diverse, innovative teams to enhance system performance and architecture.
🇺🇸 United States – Remote
💵 $124k - $170.5k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
⛑ DevOps & Site Reliability Engineer (SRE)
🔥 19 hours ago
Release Train Engineer facilitating ART events and coaching scrum masters for U.S. Government's critical missions. Delivering value using latest technologies in a highly collaborative environment.
🇺🇸 United States – Remote
💵 $90.3k - $189.6k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
⛑ DevOps & Site Reliability Engineer (SRE)