Senior Software Engineer – Platform (SWE3) [D.26.0206]

Dover Networks LLC; Maryland; Hybrid; USD 260,000 - 285,000; Full time

Job summary

Dover Networks LLC in the United States seeks a senior software engineer to reinforce the Platform team, focusing on AWS infrastructure, Kubernetes clusters, and security posture that power AI capabilities. This role requires TS/SCI with Full Scope Polygraph and no sponsorship; you will deploy, maintain, and secure production infrastructure while translating goals into tangible engineering outcomes.

Applicants must have strong leadership and communication skills and be able to juggle hands-on

Qualifications

• Must hold TS/SCI clearance with Full Scope Polygraph; no sponsorship accepted.

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.

Skills

AWS

Kubernetes

Docker

Argo CD

CI/CD

Observability

Security best practices

Production infrastructure

Leadership

Communication

Education

B.S. in a technical discipline

Tools

Terraform

IAM

Route 53

Helm

Kustomize

Elastic Stack

Grafana/Prometheus

Argo CD

Docker

Job description

Applicants must already hold a TS/SCI clearance with a current Full Scope Polygraph before applying. We are not sponsoring or processing clearances for this position. Candidates who are seeking to obtain a clearance do not meet the minimum requirements.

Salary Range: $260k-$285k per year with an additional $65k-$71k in immediately vested company 401(k) contributions

Description

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. In this role, you’ll help build and maintain the foundation for customer AI capabilities while supporting a broader ecosystem of AI-enabled applications. Your focus will be deploying and maintaining reliable, secure infrastructure that the rest of our AI services depend on. Requirements shift quickly as mission needs evolve and new technologies emerge, so you’ll keep sharpening your skills and learning to turn loosely defined problems into working solutions.

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.

Skills Requirements

• 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 Haves

• 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.

YOE Requirement

12 yrs., B.S. in a technical discipline or 4 additional yrs. in place of B.S.