Cloud Software Engineer 3 (CSWE3)

Leveraging 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.

• 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

Desired Skills

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

Additional Details

This Position requires a TS/SCI clearance with an NSA FS Poly.

We offer competitive compensation and benefits to include:

• Medical/Dental/Vision

• Flexible PTO Packages with 20+ days of PTO & All Federal Holidays

• 401k with Employer Match

• Profit Sharing

• Tuition Reimbursement

• Flex Spending Account

• Life Insurance, Long & Short-Term Disability

• Pet Adoption Reimbursement

• Annual Physical Fitness/Wellness Allowance

• Supplemental Insurance

• Employee Referral Program

• Performance Incentives

• On-The-Spot Rewards

• Other company-sponsored perks include after-hours events, logo apparel, holiday parties, and more!

Vetegrity is an employee-focused small business, founded in 2008. We are passionate about supporting the missions of the Intelligence Community and the Department of Defense. As a Service-Disabled, Veteran-Owned Small Business, we pride ourselves on our commitment to excellence and integrity in everything we do.