Senior Software Engineer – Platform (SWE3) [D.26.0203]

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

Job summary

Dover Networks LLC in Maryland seeks a senior software engineer for the Platform team to design, deploy, and maintain the cloud infrastructure powering our AI capabilities, including AWS and Kubernetes, with a strong security posture. The role emphasizes translating goals into engineering outcomes, mentoring engineers, and upholding governance and security practices.

TS/SCI clearance with Full Scope Poly is required; no sponsorship is offered.

Qualifications

• Clearance: TS/SCI with Full Scope Poly required; no sponsorship.
• Minimum 12 years of software engineering experience, or 12 years total with degree substitution.
• Experience designing, deploying, and maintaining cloud infrastructure (AWS, Kubernetes).

Responsibilities

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

Skills

AWS

Kubernetes

Terraform

CI/CD (Argo CD)

Docker

Security governance

Leadership

Effective communication

Education

B.S. in a technical discipline

4+ years experience in lieu of degree

Tools

EKS

IAM

Route 53

Helm/Kustomize

Kibana/Grafana/Prometheus

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.