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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Cloud Software Engineer III - **Company:** TALENTOPS LLC - **Location:** Fort Meade, MD, United States - **Salary:** $195,000 - $230,000 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Microsoft Windows, Apache Accumulo, Application Programming Interfaces (APIs), Algorithm Design, Amazon Web Services, Amazon S3, Microsoft Azure, Big Data, BigTable, C++ (Programming Language), Cloud Computing, Computer Programming, Databases, System Configuration, Distributed File Systems, Distributed Systems, Amazon DynamoDB, Hadoop Distributed File System, Python (Programming Language), PostgreSQL, Metadata Repositories, MongoDB, Operational Data Store, Object-Oriented Software Development, OpenAI, Azure Data Lake, Software Engineering, Software Systems, Web Services, Google Cloud, Apache Spark, Software Application Programming, Parallel Computation, Kubernetes, Information Technology, Apache Flink, Cosmos DB, Claude, Restful APIs, Stream Processing, Apache Beam, Databricks - **Published:** November 3, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9286209/cloud-software-engineer-iii ## About the Role The ideal candidate brings strong software engineering experience, a background in cloud and distributed computing technologies, and the ability to develop scalable solutions for large operational data environments., * Active TS/SCI with Full Scope Polygraph. * Ability and willingness to work onsite five days per week. * Within the last 10 years, at least 7 years of combined programming experience using Java, C++, or Python. * Within the last 7 years, at least 5 years of experience designing and developing applications in Windows or UNIX/Linux environments. * Within the last 3 years, at least 1 year of experience with database technologies such as: + Apache Accumulo + MongoDB + ScyllaDB + Google Cloud Bigtable + Amazon DynamoDB + Azure Cosmos DB + PostgreSQL + or equivalent technologies * Within the last 3 years, at least 1 year of experience with distributed batch or stream processing technologies such as: + Ray + Apache Spark + Apache Flink + Apache Beam + Databricks + cloud-native data processing services * Within the last 3 years, at least 1 year of experience with distributed file or object storage systems such as: + HDFS + Amazon S3 + Azure Data Lake Storage + Google Cloud Storage * Within the last 3 years, at least 1 year of experience with requirements analysis and design for object-oriented systems. * Within the last 2 years, at least 6 months of development experience using Kubernetes, AWS, Microsoft Azure, or Google Cloud Platform. Education * Bachelor's degree in Computer Science or a related discipline. Education substitutions may include: * Associate's degree in Computer Science or a related discipline plus 2 years of programming experience, or * 5 years of programming experience in lieu of a bachelor's degree. Desired Skills * Experience with Claude Sonnet 4. * Ability to write code using dynamic prompts with the OpenAI Chat Completions API. ## Description We are seeking a talented and driven Cloud Software Engineer III to support the development, enhancement, and maintenance of complex, mission-focused software systems. This role will contribute to applications involving high-performance analytics, advanced algorithm development, large-scale data processing, real-time computing, and enterprise business solutions., * Provide cloud software research, development, and engineering support across requirements analysis, software development, installation, integration, evaluation, enhancement, sustainment, testing, validation, and issue resolution. * Design, implement, and test new capabilities for Apache Accumulo to support large-scale content and metadata repositories. * Conduct Apache Accumulo training sessions, including hands-on configuration and programming exercises. * Develop web-based user interfaces for searching and presenting operational data. * Develop web services and REST-based APIs for content and metadata repositories. * Design and implement algorithms that operate on large volumes of operational metadata. * Apply advanced parallel programming techniques to analytics running against petabyte-scale datasets. * Develop, test, and prepare mission-relevant analytics for deployment in secure content and metadata repositories., * Java * C++ * Python * Apache Accumulo * MongoDB * ScyllaDB * PostgreSQL * DynamoDB * Cosmos DB * Google Cloud Bigtable * Apache Spark * Apache Flink * Apache Beam * Ray * Databricks * HDFS * Amazon S3 * Azure Data Lake Storage * Google Cloud Storage * Kubernetes * AWS * Azure * Google Cloud * REST APIs * Large-scale data processing * Parallel computing