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 more. As a Software Engineer at NSA, you can focus on virtually any area of computer science including cybersecurity, high-performance computing (HPC), quantum computing research, data analytics, machine learning/artificial intelligence (ML/AI), cryptology/cryptography, complex algorithms, large-scale platform development and many others.