Sr. Software Engineer

About the position

Leidos is seeking a Senior Software Engineer to support the maritime autonomy team. In this position you will work in a diverse environment that allows you to get into every aspect of software development, and deployment across the software development lifecycle. You will be joining an existing team which has already successfully delivered for our customers and plan to continue their reputation of excellence. You will closely work with the Development team as well as other technology stakeholders to maintain, develop and support several projects in an Agile SAFe environment. You will be responsible for design, development, testing, and automation of software solutions.

Responsibilities

• Analyze, design, code and update software for new features and performance improvements.
• Implement, and testing C++ software for Linux systems.
• Experience with interface communication standards / protocols such as TCP/IP, UDP, and DDS.
• Collaborate with all teams to support software deployments and integrations.
• Documenting the developed systems.

Requirements

• US Citizen with the ability to obtain a SECRET clearance.
• Bachelor's degree with 8 or more years of prior relevant work experience or Masters with 6 or more years of prior relevant work experience. Will consider additional work experience in lieu of a degree.
• Bachelor's Degree in fields like Computer Science, Information Technology, Network Engineering, etc.
• Strong experience in C++ software development.
• Demonstrated experience troubleshooting issues with most of the following tools: Jira, Confluence, Bamboo, Jenkins, and programming in a Linux environment.

Nice-to-haves

• Experience with interface communication standards / protocols such as TCP/IP, UDP, and DDS.
• Experience integrating software into third-party software frameworks and architectures, such as RTI DDS.
• Advanced knowledge of the Linux operating system.
• Experience with other programming languages such as Java and Python.
• Demonstrated experience working with virtualization technologies (e.g., VMware, KVM).
• Demonstrated experience with Docker and Kubernetes (RKE2) in containerization, Kubernetes management and automation technologies.