Senior Cloud Software Engineer

Vetegrity•Annapolis, MD

About The Position

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

Requirements

TS/SCI clearance with an NSA FS Poly.
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

Nice To Haves

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

Responsibilities

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.