Senior DevOps Platform Engineer – On-Prem AI/ML Infra

Akina Inc

Annapolis (MD)

On-site

USD 241,000 - 295,000

Full time

12 days ago

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Benefits offered by this job

24 days PTO
11 federal holidays
Healthcare costs covered for employees
401k with 10% company contribution
Educational assistance for courses/trs

Job summary

Akina Inc in Annapolis Junction, Maryland is seeking a Software Engineer focused on DevOps, platform engineering, and infrastructure automation for mission-critical AI/ML delivery. You will build reliable, scalable infrastructure and deployment pipelines using IaC, containers, and orchestration to ensure continuous availability of services.

Collaboration with data scientists and system admins is key as you own the platform layer that enables rapid, resilient AI deployments.

Qualifications

  • 12+ years of SWE experience in similar scope and complexity.
  • Bachelor's degree in Computer Science or related field.
  • Experience with on-prem infrastructure and platform engineering.

Responsibilities

  • Deploy and manage containerized AI/ML services on-premises using Kubernetes.
  • Implement observability and monitoring with Prometheus, Grafana, etc.
  • Build and maintain CI/CD pipelines and IaC for automated deployment.
  • Design resilient, highly available infrastructure patterns for mission systems.
  • Collaborate with data scientists and system admins to meet reliability requirements.

Skills

On-prem deployment
Docker/Kubernetes
Observability tools
CI/CD pipelines
Git version control
Jira/Confluence
SRE/platform engineering

Education

Bachelor's degree in Computer Science or related

Tools

Git
Jira
Confluence

Job description

Akina Inc in Annapolis Junction, Maryland is seeking a Software Engineer focused on DevOps, platform engineering, and infrastructure automation for mission-critical AI/ML delivery. You will build reliable, scalable infrastructure and deployment pipelines using IaC, containers, and orchestration to ensure continuous availability of services.

Collaboration with data scientists and system admins is key as you own the platform layer that enables rapid, resilient AI deployments.

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