AI Infrastructure Engineer II (Onsite)

Staffed4U; Maryland; On-site; USD 193,000 - 306,000; Full time

Benefits offered by this job

Health coverage

401(k) retirement plan

Paid time off

Job summary

Staffed4U is seeking an experienced Software Engineer II to help build scalable AI infrastructure in Annapolis Junction, MD. The role focuses on AI inference services within an enterprise AI platform, collaborating with data scientists and platform engineers to deliver reliable, cloud-native solutions onsite.

Responsibilities include designing, deploying, and operating infrastructure at scale in AWS, managing Kubernetes deployments, implementing IaC, and building observability dashboards with

Qualifications

• Eight or more years of software engineering experience.
• Bachelor's degree in Computer Science, Software Engineering, or related field (or 4 additional years of experience in lieu).
• Experience building and supporting production systems at scale.
• Experience with AWS cloud-native infrastructure and Kubernetes deployments.

Responsibilities

• Design, implement, and optimize infrastructure supporting AI model inference at scale.
• Develop, deploy, and maintain production AI services and applications.
• Design and manage cloud-native infrastructure within AWS and Kubernetes environments.
• Implement monitoring, logging, and observability solutions across AI services and infrastructure.

Skills

Infrastructure as Code

DevOps

Monitoring

Performance optimization

Systems integration

Education

Bachelor's degree in Computer Science or related field

Tools

AWS

Kubernetes

OpenTelemetry

Grafana

Prometheus

Job description

Staffed4U is seeking an experienced Software Engineer II to help build scalable AI infrastructure in Annapolis Junction, MD. The role focuses on AI inference services within an enterprise AI platform, collaborating with data scientists and platform engineers to deliver reliable, cloud-native solutions onsite.

Responsibilities include designing, deploying, and operating infrastructure at scale in AWS, managing Kubernetes deployments, implementing IaC, and building observability dashboards with