Senior Software Engineer – Platform

Neural Solutions; Columbia (MD); On-site; USD 204,000 - 247,000; Full time

Job summary

Neural Solutions in Columbia, MD is seeking a Senior Software Engineer for the Platform team to own AWS infrastructure and Kubernetes clusters, building the foundation for AI capabilities and enabling a broad ecosystem of AI-enabled applications.

You will lead design, deployment, and security practices, mentor engineers, and translate high-level goals into platform solutions across cloud-native environments.

Qualifications

• 12 years of experience in software engineering with a technical degree.
• TS/SCI with Polygraph clearance is required.
• Location is Columbia, MD, on-site.

Responsibilities

• Lead the design, deployment, and maintenance of cloud infrastructure (AWS, Kubernetes).
• Translate high-level goals into engineering outcomes and platform solutions.
• Work in ambiguous problem spaces and define structured solutions for the team to execute against.
• Mentor engineers and grow development best practices and governance.
• Establish and enforce security practices for infrastructure and data.

Skills

Leadership

Communication

Stakeholder management

Education

Bachelor's degree or 16 years experience

Tools

AWS EKS

Terraform

IAM

Route 53

Kubernetes

Helm

Kustomize

Docker

Argo CD

CI/CD

Elastic Stack

Kibana

Grafana

Prometheus

Certificate management

Cloud-native security

Job description

Senior Software Engineer

Join us in building the next generation of AI infrastructure that will power innovation across the organization's capabilities. We're seeking a senior software engineer to support our Platform team, which owns the AWS infrastructure and Kubernetes clusters. In this role, you'll help build and maintain the foundation for AI capabilities while supporting a broader ecosystem of AI-enabled applications.

Responsibilities

• Lead the design, deployment, and maintenance of cloud infrastructure used by the organization's AI capabilities (AWS, Kubernetes).
• Translate high-level stakeholder goals into engineering outcomes and platform solutions.
• Work within ambiguous problem spaces and define structured solutions for the team to execute against.
• Mentor engineers and grow development best practices, engineering standards, and technical governance for the team.
• Establish and enforce security best practices for infrastructure systems and data, including certificate and identity management.

Required Skills

• Experience with AWS services such as EKS, Terraform, IAM, and Route 53.
• Experience with Kubernetes and Helm/Kustomize.
• Experience with Docker/containerization.
• Experience with Argo CD and/or other CI/CD frameworks.
• Experience configuring and using observability tooling such as the Elastic Stack (Kibana) and Grafana/Prometheus.
• Experience with certificate management and cloud-native security practices.
• Experience supporting cloud-native architecture and maintaining production software and infrastructure.
• Ability to take high-level mission goals and transform them into engineering outcomes.
• Excellent communication, stakeholder management, and leadership skills.

Nice To Have

• Experience developing technical policies and governance frameworks.
• Experience with AI inference serving technologies (vLLM, LiteLLM, etc.).
• Previous experience with agentic frameworks.
• Knowledge of vector databases and embedding systems.
• Familiarity with LLMs and AI hosting concepts.

Experience Required: 12 years with Bachelor's degree in a technical discipline, or 16 years without degree

Location: Columbia, MD

Clearance: TS/SCI with Polygraph required

Salary Range: $204,000 - $247,000