Senior Software Engineer – Platform (SWE3) [D.26.0203]
Dover Networks LLC · Maryland, United States · 3 wk ago
Engineering$260k–$285k/yrFull-time
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.
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.
- Able to take high-level mission goals and transform them into engineering outcomes.
- Excellent communication, stakeholder management, and leadership skills.
- Able to balance hands-on engineering with leadership and coordination responsibilities.
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.
- 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.
Pay
Salary Range: $260k-$285k per year with an additional $65k-$71k in immediately vested company 401(k) contributions