Senior DevOps Engineer

Akkadian Labs

Senior DevOps Engineer scaling secure AWS, hybrid-cloud, and AI infrastructure for Akkadian Labs’ enterprise collaboration automation platform. Improving deployments, observability, reliability, and operational governance.

Posted 9/10/2026full-timeRemote • New Jersey • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining scalable infrastructure and DevOps processes, with a strong focus on AWS, infrastructure-as-code, and AI model deployment pipelines. Proficient in implementing secure DevOps practices and monitoring solutions to ensure system reliability and performance.

Highest-signal resume keywords

AWS ExpertiseInfrastructure-As-Code (Terraform, CloudFormation)Docker And KubernetesCI/CD Pipeline ManagementAI Model Deployment

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

DevOpsSite Reliability Engineering (SRE)LinuxPython ScriptingBash ScriptingMonitoring (Prometheus, Grafana, ELK)AI Workloads SupportInfrastructure SecurityIncident ResponseSystem Optimization

Soft Skills

CollaborationContinuous Improvement

Tools & Technologies

AWS (EC2, ECS, S3, IAM, Lambda, CloudWatch)TerraformCloudFormationDockerKubernetesJenkinsBitbucket CI/CDAkkadian Tools

Certifications & Qualifications

SOC2ISO Compliance

Industry Keywords

Hybrid CloudOn-Premises EnvironmentsAI Model VersioningDevOps Security Best Practices

Tech Stack

Tools & technologies

AWSCloudDockerEC2GrafanaJenkinsKubernetesLinuxPrometheusPythonTerraform

About the role

Key responsibilities & impact

Design, implement, and maintain scalable and secure infrastructure and DevOps processes
Deploy and maintain scalable infrastructure in AWS and hybrid cloud environments
Manage infrastructure-as-code using Terraform, CloudFormation, or similar tools
Maintain Linux-based environments
Design and implement Docker containerization and Kubernetes orchestration
Design, deploy, and manage AI agent workloads, including compute provisioning and resource scaling for inference-heavy tasks
Build and maintain AI model deployment pipelines, including versioning, testing, and production rollback
Monitor AI API consumption and infrastructure costs; implement alerting and usage controls
Implement infrastructure-level security guardrails for AI systems, including access controls and data isolation
Manage monitoring and observability using Prometheus, Grafana, and the ELK stack
Troubleshoot system issues and contribute to incident response and root cause analysis
Improve system reliability, performance, and uptime
Build, maintain, and optimize CI/CD pipelines using Jenkins, Bitbucket CI/CD, or similar tools
Automate builds, testing, deployments, and system updates
Integrate pipelines with Akkadian tools
Implement secure DevOps practices, security controls, compliance initiatives, and vulnerability remediation
Collaborate with DevOps, engineering, QA, and product teams on deployments and releases
Maintain infrastructure, process, and operational documentation
Participate in collaborative team processes and continuous improvement initiatives

Requirements

What you’ll need

10+ years of experience in DevOps or Site Reliability Engineering (SRE)
Expertise with AWS, including EC2, ECS, S3, IAM, Lambda, and CloudWatch
Expertise with infrastructure-as-code tools, including Terraform and CloudFormation
Strong knowledge of Linux environments
Experience with Docker and Kubernetes
Scripting ability in Python, Bash, or similar languages
Experience building or maintaining CI/CD pipelines and related tools
Experience with Prometheus, Grafana, and ELK for monitoring and observability
Experience implementing secure DevOps practices and compliance frameworks such as SOC2 and ISO
Experience supporting AI or machine learning workloads and compute environments
Exposure to AI model deployment pipelines and model versioning practices
Familiarity with hybrid cloud or on-premises environments
Exposure to DevOps security best practices, including AI-specific data isolation and access controls
Experience supporting production systems and participating in on-call rotations

Benefits

Comp & perks

Fully remote environment
Medical insurance
Dental insurance
Vision insurance
Company-paid life insurance
Company-paid disability policies
401(k) with a generous matching program
Paid time off