> Markdown version of [/jobs/ext/4165316-cloud-software-engineer-3-ts-sci-clearance-with-full-scope-polygraph-required](https://www.wearedevelopers.com/jobs/ext/4165316-cloud-software-engineer-3-ts-sci-clearance-with-full-scope-polygraph-required). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Cloud Software Engineer 3 (TS/SCI Clearance with Full Scope Polygraph Required) - **Company:** J&T Business Consulting - **Location:** Laurel, MD, United States - **Experience:** Expert - **Salary:** $218,000.0 - $259,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), JavaScript (Programming Language), Apache Accumulo, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon S3, Automation of Tests, Microsoft Azure, Bash Shell, Batch Processing, C++ (Programming Language), Cloud Computing, Cloud Engineering, Computer Programming, Databases, Content Analysis, Data Stores, Linux, Hadoop Distributed File System, Python (Programming Language), PostgreSQL, Machine Learning, MongoDB, Neo4j, NumPy, Red Hat Enterprise Linux, OpenAI, Azure Data Lake, Software Engineering, SQLite, Computational Statistics, Cloud Platform System, Pytorch, ReactJS, Large Language Models, Apache Spark, Keras, Pandas, Matplotlib, AngularJS, Scikit Learn, Kubernetes, Information Technology, Apache Flink, Machine Learning Operations, Front End Software Development, Vertica, Claude, Spacy, Apache Beam, Docker, Databricks, Microservices - **Published:** October 27, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=fc201a61e677a7b5 ## About the Role * Security Clearance: Active TS/SCI with a current Polygraph. * ML & MLOps: Minimum 1 year of hands-on MLOps experience, including fine-tuning, evaluating, and operationalizing machine learning models and working with LLMs. * Programming & Libraries: Proven expertise in Python (including libraries such as Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, PyTorch, Keras, spaCy, GLiNER), Java, and JavaScript. * Front-End & Containers: Hands-on experience with Angular or React, along with Docker containerization and Kubernetes orchestration. * Cloud & OS: Working knowledge of Amazon Web Services (AWS) and experience across Linux (RHEL 8) and Windows environments. * Databases: Experience developing against varied data stores (PostgreSQL, Neo4j, ClickHouse, Accumulo, MongoDB, SQLite, or DuckDB)., * Bachelor's degree in Computer Science or a related discipline, OR * Associate degree in Computer Science/related discipline plus 2 years of programming experience, OR * 5 years of programming experience in lieu of a degree., Experience building applications with advanced LLMs (e.g., Claude, OpenAI Chat Completions API) and dynamic prompt orchestration., 7+ years of combined programming experience across Java, C++, or Python within the last 10 years., 5+ years of software design and development experience in Linux/Unix or Windows environments within the last 7 years., Hands-on experience with distributed stream/batch processing frameworks (Ray, Apache Spark, Apache Flink, Apache Beam, Databricks) and distributed object/file stores (Amazon S3, HDFS, Azure Data Lake, GCS)., 6+ months of direct cloud development experience (AWS, Azure, or GCP) and Kubernetes within the past 2 years. ## Description Seeking a senior Cloud Software Engineer 3 to leverage advanced data science, machine learning, and cloud computing to solve complex national security analytic challenges in Laurel, MD. In this role, you will design and develop an evolving suite of operational prototypes utilizing state-of-the-art data science and machine learning techniques for behavioral, geo-temporal, social, and content analysis. You will work against full-scale data collection within robust, multi-tenant cloud environments, operationalizing AI/ML models and Large Language Models (LLMs) to address discovery, attribution, tracking, and information overload challenges., * Design, build, and deploy operational software prototypes and analytics in multi-tenant, cloud-based architectures. * Implement, fine-tune, evaluate, and operationalize machine learning models and Large Language Models (LLMs) within production pipelines (MLOps). * Develop full-stack capabilities utilizing Python, Java, JavaScript, and modern front-end frameworks (Angular or React). * Build and manage containerized microservices and deployments using Docker and Kubernetes within AWS. * Integrate and optimize structured, graph, document, and analytical databases (e.g., PostgreSQL, Neo4j, ClickHouse, Apache Accumulo, MongoDB, DuckDB, SQLite). * Write and maintain automation scripts in Bash within RHEL 8 and Windows environments. * Conduct applied research to bridge advanced statistics and machine learning with operational mission workflows.