Software Engineer – Platform (SWE1) [D.26.0201]

Dover Networks LLC; Maryland; Hybrid; USD 163,000 - 178,000; Full time

Benefits offered by this job

401(k) contributions

Job summary

Dover Networks LLC is seeking a software engineer to support the Platform team, managing AWS infrastructure, Kubernetes clusters, and security posture for AI services.

You will deploy and maintain reliable, secure infrastructure that underpins customer AI capabilities, while adapting to evolving mission needs and new technologies.

Qualifications

• Must hold TS/SCI with Full Scope Polygraph.
• No sponsorship or clearance processing for this position.
• Experience deploying and maintaining cloud infrastructure (AWS, Kubernetes).
• Knowledge of CI/CD and infrastructure-as-code.
• Strong communication and ability to learn quickly.

Responsibilities

• Deploy and maintain cloud infrastructure (AWS, Kubernetes).
• Build and maintain CI/CD pipelines and IaC for reliable deployments.
• Configure observability tools to monitor production services.
• Support security best practices for AI systems and data.
• Collaborate with teams to provision infrastructure their services depend on.
• Diagnose and resolve production infrastructure issues.

Skills

Python

Cloud/AWS familiarity

Containerization (Docker)

Fast learner

Strong communication

Education

B.S. in a technical discipline

Tools

Docker

Kubernetes

Terraform

Argo CD

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: $163k-$178k per year with an additional $41k-$44k 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 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

• 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 Requirements

• 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 Haves

• 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.

YOE Requirement

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