NSA is seeking experienced Software Engineers to advance a number of high impact systems and teams. Opportunities change constantly, but recent needs include: large scale platform development (hardware and software, HPC, cloud); accessibility development (508 compliance); AI/ML; complex algorithms and cryptography. As a Software Engineer at NSA, your work makes the world a safer place in countless ways including: saving lives of U.S. and allied soldiers; providing U.S. policy and decision makers with critical, timely intelligence; ensuring the continued safety of U.S. citizens and residents by thwarting foreign adversaries; and defending vital networks. The Agency offers a work/life balance that is hard to beat, with flexible work schedules, generous leave policies, and a number of continuing education programs to help meet your long term career goals. The sheer breadth of technologies supported provides endless opportunity for broadening expertise and leadership growth. Tools and technologies used evolve quickly, with systems and responsibilities spanning the full spectrum. More common tools and areas of interest include: COBOL, C/C++, Java, cloud computing, Angular, React, Python, PIG Analytics, Pyspark, agile development, continuous integration/continuous delivery (CI/CD), containers and Docker, Kubernetes, Amazon Web Services (AWS), Linux (VMWare), ElasticSearch, Rust, micro services, Ansible, clusters, digital forensics, incident response, quantum, and so much more. Beyond technical skills, we also need strong critical thinkers, collaborators, independent self-starters, continuous learners and flexible contributors. We look forward to hearing from you - what excites you and where you think you can make the most impact. **Please upload a copy of your transcripts from all schools attended, prior to applying for this position. Unofficial transcripts are fine at this stage. Providing a copy of your transcripts is essential since the minimum qualifications for this position require a degree that demonstrates a concentration of Computer Science (CS) courses in foundational CS areas.**