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# Cloud Software Engineer 3 (Potential Telework)

- **Company:** Wyetech LLC
- **Location:** Laurel, MD, United States (Remote available)
- **Salary:** $182,582.0 - $259,667.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), JavaScript (Programming Language), Microsoft Windows, Apache Accumulo, Application Programming Interfaces (APIs), Amazon Web Services, Amazon S3, Apache HTTP Server, Microsoft Azure, Bash Shell, BigTable, C++ (Programming Language), Cloud Computing, Cloud Storage, Computer Programming, Databases, Distributed File Systems, Amazon DynamoDB, Design of User Interfaces, Hadoop Distributed File System, Python (Programming Language), PostgreSQL, Linux System Administration, Machine Learning, Metadata Repositories, MongoDB, Neo4j, NumPy, Operational Data Store, Red Hat Enterprise Linux, Cloud Services, Azure Data Lake, Software Configuration Management, SQL Databases, Web Services, Google Cloud, Pytorch, ReactJS, Large Language Models, Apache Spark, Software Application Programming, Parallel Computation, Keras, Pandas, Matplotlib, AngularJS, Scikit Learn, Kubernetes, Information Technology, Apache Flink, Cosmos DB, Machine Learning Operations, Spacy, Stream Processing, Apache Beam, Docker, Databricks
- **Published:** August 5, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9074769/cloud-software-engineer-3-potential-telework

## About the Role

* TS/SCI with agency appropriate 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

Required Technical Skills

 * 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 Technical Skills

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

## Description

* Design, implement and test new features and capabilities for Apache/Accumulo needed to support large content and metadata repositories.
 * Conducting Apache/Accumulo training sessions, which include hands-on software configuration and programming exercises.
 * Developing web-based user interfaces to support search and presentation of operational data and developing web services that provide REST-based APIs to the content and metadata
repositories.

 * Developing algorithms to operate on large volumes of operational metadata. This work will investigate advanced parallel programming techniques for implementing analytics that can
effectively run on petabyte-scale operational data set in a secure manner. The mission relevant
analytics will be designed, implemented, tested for deployment in the content and metadata
repositories


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