Cloud Software Engineer III

Reflexive Concepts · Laurel, MD · 2 mo ago

EngineeringFull-time

About the role

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 days a week if tasking is available; not guaranteed.

Requirements

Active TS/SCI with Full Scope Polygraph
Within the last ten years, a minimum of seven years combined programming experience with Java, C++, or Python
Within the last seven years, a minimum of five years experience designing and developing applications in a Windows or UNIX/Linux operating environment
Within the last three years, a minimum of one 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 years, a minimum of one 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 years, a minimum of one 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 years, a minimum of one year experience with requirements analysis and design for one or more object-oriented systems
Within the past two years, six 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 years programming experience, or five years programming experience, may be substituted for a bachelor’s degree)

Skills

Required

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, clickhouse, accumulo, mongo-db, sqlite, duckDB
Operating Systems – Linux (RHEL 8), Windows
Experience working with LLMs

Desired