Senior Software Engineer – Platform with Security Clearance

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

Job summary

Neural Solutions in Columbia, MD is seeking a Sr. Software Engineer for the Platform team to own the cloud infra (AWS, Kubernetes) and security posture across AI capabilities.

You will translate goals into platform solutions, mentor engineers, and drive governance and best practices while balancing hands-on work with leadership. The role emphasizes designing scalable cloud architectures, implementing secure, production-grade infrastructure, and collaborating with stakeholders to deliver

Qualifications

• 12 years with Bachelor's degree in a technical field, or 16 years without degree.
• Experience with AWS, Terraform, Kubernetes, Docker and CI/CD.
• Clearance: TS/SCI with Polygraph required.

Responsibilities

• Lead design, deployment, and maintenance of the cloud infrastructure used by AI capabilities (AWS, Kubernetes).
• Translate high-level stakeholder goals into engineering outcomes and platform solutions.
• Mentor engineers and grow development best practices, engineering standards, and governance.
• Establish and enforce security best practices for infrastructure systems and data, including certificate and identity management.
• Balance hands-on engineering with leadership and coordination responsibilities.

Skills

Leadership

Communication

Stakeholder management

Mentorship

Cloud architecture

Education

Bachelor's degree in a technical field

Tools

AWS EKS

Terraform

IAM

Route 53

Kubernetes

Helm

Argo CD

CI/CD

Elastic Stack

Grafana

Prometheus

Certificate management

Security best practices

AI inference serving

Vector databases

Embedding systems

LLMs hosting concepts

Job description

Sr. Software Engineer - Platform Join us in building the next generation of AI infrastructure that will power innovation across the customer organization. We're seeking a senior software engineer to support our Platform team, which owns the AWS infrastructure, Kubernetes clusters, and security posture that every AI capability in the organization runs on.

Responsibilities

• Lead the design, deployment, and maintenance of the 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 the team can 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.
• Ability to balance hands-on engineering with leadership and coordination responsibilities.
• 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 field, or 16 years without degree
• Location: Columbia, MD
• Clearance: TS/SCI with Polygraph required
• Salary Range: $204,000 - $247,000
• Questions about this role or want to learn more about Neural Solutions?