Junior Software Engineer – Platform

Neural Solutions

Columbia, Northern (MD, KY)

Hybrid

USD 138,000 - 163,000

Full time

3 days ago
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Job summary

Neural Solutions in Columbia, MD is seeking a Software Engineer to join the Platform team. You will help build and maintain the foundation for AI capabilities, supporting a broad ecosystem of applications and services.

The role focuses on deploying scalable cloud infrastructure (AWS, Kubernetes), creating reliable CI/CD pipelines, and implementing observability for production systems. A strong emphasis on security, collaboration, and learning new technologies is expected.

Qualifications

  • 3 years with Bachelor's degree in a technical discipline, or 7 additional years without degree.
  • Proficiency with Python or another modern programming language.
  • Familiarity with AWS or other cloud service providers.
  • Understanding of containerization concepts and tooling such as Docker.
  • Ability to learn new technologies quickly.
  • Strong communication skills and a willingness to ask questions.

Responsibilities

  • Deploy and maintain cloud infrastructure supporting the organization's AI capabilities (AWS, Kubernetes).
  • Build and maintain CI/CD pipelines and infrastructure-as-code for repeatable, reliable deployments.
  • Configure and use observability tooling to monitor the health and performance of production services.
  • Support certificate management and follow established security best practices for AI systems and data.
  • Collaborate with other teams in the organization to provision and configure the infrastructure their services depend on.
  • Diagnose and help resolve production infrastructure issues.

Skills

Python
AWS
Docker
Learning agility
Communication

Education

Bachelor's degree in a technical discipline

Tools

AWS (EKS)
Terraform
IAM
Kubernetes
Argo CD
Helm/Kustomize
Elastic Stack
Grafana/Prometheus

Job description

Software Engineer

We're seeking a software engineer to support our Platform team at Columbia, MD, which owns the AWS infrastructure and Kubernetes clusters for every AI capability in the organization. In this role, you'll help build and maintain the foundation for AI capabilities while supporting a broader ecosystem of applications.

Responsibilities:
  • Deploy and maintain cloud infrastructure supporting the organization's AI capabilities (AWS, Kubernetes).
  • Build and maintain CI/CD pipelines and infrastructure-as-code for repeatable, reliable deployments.
  • Configure and use observability tooling to monitor the health and performance of production services.
  • Support certificate management and follow established security best practices for AI systems and data.
  • Collaborate with other teams in the organization to provision and configure the infrastructure their services depend on.
  • Diagnose and help resolve production infrastructure issues.
Required Skills:
  • Proficiency with Python or another modern programming language.
  • Familiarity with AWS or other cloud service providers.
  • Understanding of containerization concepts and tooling such as Docker.
  • Ability to learn new technologies quickly.
  • Strong communication skills and a willingness to ask questions.
Nice to Have:
  • Experience with AWS services such as EKS, Terraform, and IAM.
  • Experience with Kubernetes and Helm/Kustomize.
  • Experience with Argo CD and/or other CI/CD frameworks.
  • Experience with the Elastic Stack (Kibana), Grafana/Prometheus, or other observability tools and practices.
  • Experience with certificate management.
  • Familiarity with LLMs and AI hosting concepts.

Experience Required: 3 years with Bachelor's degree in a technical discipline, or 7 additional years without degree

Location: Columbia, MD

Clearance: TS/SCI with Polygraph required

Salary Range: $138,000 - $163,000

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