Junior Software Engineer – Platform

Neural Solutions

Columbia (MD)

Hybrid

USD 138,000 - 163,000

Full time

23 hours ago
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Job summary

Neural Solutions in Columbia, MD seeks a Software Engineer to build and maintain the platform infrastructure powering AI capabilities. You will deploy cloud resources on AWS, implement CI/CD pipelines, and work with observability tools to ensure reliability of production services.

The role requires 3 years of experience or 4 years in lieu of a degree, a TS/SCI with polygraph clearance, and a background in containerization and modern programming languages such as Python.

Qualifications

  • Proficiency with Python or another modern programming language.
  • Familiarity with AWS or other cloud service providers.
  • Understanding of containerization concepts and 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
Tech learning
Communication

Education

B.S. in a technical discipline

Tools

AWS
Kubernetes
Terraform
IAM
Argo CD
Elastic Stack
Grafana/Prometheus

Job description

Software Engineer

We're seeking a skilled software engineer to support our Platform team at Columbia, MD. In this role, you'll help build and maintain the foundation for AI capabilities while supporting a broader ecosystem of AI-enabled 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.
  • Experience supporting cloud-native architecture or maintaining production software and infrastructure.
  • Familiarity with LLMs and AI hosting concepts.

Experience Required: 3 years, B.S. in a technical discipline or 4 additional years in place of B.S.

Location: Columbia, MD

Clearance: TS/SCI with Polygraph required

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

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