Software Engineer Asc
Lockheed Martin
Herndon, VAFresher57m agovia LinkedIn
About the Role
Lockheed Martin Space is seeking a full-time Early Career Software Engineer to join a scrum team within the development organization.
Key Responsibilities
- Planning, conducting, and coordinating agile software development activities.
- Designing, developing, documenting, testing, and debugging software that contains logical and mathematical solutions to critical mission issues.
- Applying the appropriate standards, processes, procedures, and tools throughout the development life cycle.
- Applying knowledge of computer hardware and software, subject matter to be programmed in mission applications, information processing techniques used, and information gathered from system users to develop software.
- Correcting program errors, compiling documentation of program development, and analyzing system capabilities to resolve questions of program intent, output requirements, input data acquisition, programming techniques, and controls.
- Ensuring software standards are met.
Requirements & Tech Stack
- Java development experience.
- Knowledge/Experience in COTS/FOSS integration and support.
- Ability to troubleshoot and navigate multiple operating system environments (e.g., LINUX/Windows).
- Ability to learn and implement new technologies.
- Interest and experience in development tools and technologies (e.g., Angular, Oracle, Docker, sql, git, DevSecOPS, automated testing).
- Python development.
- Database/SQL Development.
Qualifications
- Bachelor’s degree in computer science or similar field.
- US Citizen.
- Must be able to obtain a government security clearance.
- Ability to obtain a TS/SCI Clearance required for this role.
Desired Skills
- Agile development experience and associated tools and processes.
- Understanding of Cloud infrastructure.
- Strong problem-solving skills.
- Strong communication skills.
- Proven team player.
- Big data technologies to include data Ingest, Analytics, Elasticsearch, Kubernetes, GitOps pipelines, Kinetica and COTS Integration.
- AI/Machine Learning Technologies.