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Automation Software Engineer (SWE3) [D.25.0178] with Security Clearance

Dover Networks LLCSouthern Md Facility, MD🇺🇸United StatesPosted 13 Jul 2026

Quick Overview

Work Type
Hybrid
Schedule
Employee
Level
Mid Senior

Job Description

Requires Top Secret/SCI with Full Scope Poly Description: We are seeking a highly experienced Software Engineer to join our dynamic team. The ideal candidate will have advanced expertise in Python development, cloud technologies, and DevOps best practices. This role requires a problem-solver with a passion for building scalable, high-performance systems and ensuring their reliable deployment and maintenance. You will be working closely with analysts, data scientists, and other software engineers to integrate AI/ML technologies. Responsibilities: * Develop and maintain scalable, secure Python applications, APIs, and microservices. * Design, implement, and manage cloud infrastructure using common cloud technology providers. * Utilize DevOps best practices to integrate CI/CD pipelines for automated testing and deployment. * Optimize and troubleshoot system performance, scalability, and reliability in cloud environments. * Collaborate with cross-functional teams (product, QA, data engineers) to ensure application and infrastructure meet business requirements. Skills Requirements: * Production-grade software development experience in Python. * Experience with deployment and management of services in cloud-based hosting environments such as AWS/Azure. * Service containerization and deployment with Docker/Kubernetes. * Familiarity with Git. * Atlassian Tools (Jira, Confluence). Nice to Haves: * Experience with additional programming languages (e.g., Python, Go, Java). * Familiarity with network architecture and cloud networking components (VPC, VPN, Load Balancers). * Certifications such as AWS Certified Solutions Architect, Google Cloud Professional Cloud Architect, or Microsoft Azure certifications. * Experience with data engineering or managing large-scale data pipelines. * Experience in container security or securing Kubernetes clusters and workloads. * Familiarity with data storage systems (e.g., relational, NoSQL, or data lakes). YOE Requirement: 12 yrs., B.S. in a technical discipline or 4 additional yrs. in place of B.S.

Skills

Docker
Microservices
AWS
Azure
Confluence
Git
Google Cloud
Java
Jira
Kubernetes
Python

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