Cloud Software Engineer III

Candidate will leverage advances in data science to support challenging analytic problems including information overload, discovery, attribution, tracking, and assessment. Develop an evolving suite of operational prototypes driven by state-of-the-art data science techniques for behavioral, geo-temporal, social, and content analysis against full-scale collection in robust, flexible, and multi-tenant cloud environments. Research to advance the science of machine learning and statistics in mission problems.

Telework: Possible up to two (2) days a week if tasking is available; not guaranteed.

Qualifications

• Active TS/SCI w/ Full Scope Polygraph
• Within the last ten (10) years, a minimum of seven (7) years experience combined programming with all of the following languages: Java, C++, or Python
• Within the last seven (7) years, a minimum of five (5) years experience designing and developing applications in a Windows or UNIX/Linux operating environment
• Within the last three (3) years, a minimum of one (1) year of experience using database technologies such as Apache Accumulo, MongoDB, ScyllaDB, Google Cloud Bigtable, Amazon DynamoDB, Azure Cosmos DB, Postgres, or equivalent technologies
• Within the last three (3) years, a minimum of one (1) year of experience using distributed batch- or stream-processing solutions such as Ray, Apache Spark, Apache Flink, Apache Beam, Databricks, cloud-native data-processing services, or equivalent technologies
• Within the last three (3) years, a minimum of one (1) year of experience using distributed file or object storage systems such as HDFS, Amazon S3, Azure Data Lake Storage, Google Cloud Storage, or equivalent technologies
• Within the last three (3) years, a minimum of one (1) year experience with requirements analysis and design for one (1) or more object-oriented systems
• Within the past two (2) years, six (6) months development experience with Kubernetes, Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Computing Services
• A bachelor’s degree in computer science or related discipline
• An associate’s degree in computer science or related discipline and two (2) years programming experience, or five (5) years programming experience, may be substituted for a bachelor’s degree

• Minimum 1 year hands-on MLOps experience, including fine-tuning and operationalizing small ML models
• Python
• Python libraries (Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, Pytorch, Keras, spaCy, GLiNER)
• Java
• JavaScript
• Angular
• React
• Docker
• Kubernetes
• AWS
• Bash
• Databases – Postgres, neo4j, click-house, accumulo, mongo-db, sql-lite, duckDB
• Operating Systems – Linux (RHEL 8), Windows
• Experience working with LLMs

• Experience with Claude Sonnet 4
• Ability to write code with dynamic prompts using OpenAI Chat Completions API