Cloud Software Engineer – Level 3 with Security Clearance

Labor Category: Cloud Software Engineer – 25362 Wyetech is seeking an experienced Cloud Software Engineer – Level 3 to support the research, design, development, integration, and sustainment of complex cloud-based software solutions supporting mission-critical Intelligence Community operations. The selected candidate will develop and enhance scalable software systems that leverage distributed computing, cloud infrastructure, Big Data technologies, and advanced analytics.

This position requires hands-on software engineering experience, strong knowledge of distributed data processing frameworks, and expertise in developing reliable, high-performance applications within UNIX/Linux and cloud environments. The ideal candidate possesses experience with Java, C/C++, Hadoop, HDFS, NoSQL databases, RESTful services, and cloud-based application development. Experience developing automated analytics, processing massive datasets, and integrating open-source technologies is highly desirable.

Key Responsibilities Cloud Software Engineering & Development

• Research, design, develop, integrate, test, deploy, maintain, and enhance cloud-based software applications and services.
• Perform software requirements analysis, installation, integration, evaluation, sustainment, testing, validation, and issue diagnosis and resolution.
• Develop scalable software solutions supporting distributed computing and large-scale data processing.
• Design and implement software applications using high-level programming languages such as Java, C, and C++.
• Develop and maintain applications operating within UNIX/Linux environments.
• Apply object-oriented software design principles to complex software systems.
• Integrate and extend Free and Open-Source Software (FOSS) and Commercial Off-the-Shelf (COTS) technologies.
• Troubleshoot application performance, integration, and operational issues.
• Develop and maintain technical documentation supporting software design, development, deployment, and sustainment. Big Data & Distributed Computing
• Develop and support software applications utilizing distributed data processing technologies.
• Work with open-source NoSQL platforms supporting massively parallel computation, including HBase, Accumulo, BigTable, or comparable technologies.
• Develop software solutions using the MapReduce programming model and technologies such as Hadoop, Hive, and Pig.
• Utilize the Hadoop Distributed File System (HDFS) for distributed data storage and processing.
• Support data ingestion, processing, transformation, and retrieval across large-scale distributed environments.
• Develop applications that efficiently process structured and unstructured datasets.
• Support software scalability, reliability, and performance optimization.
• Evaluate emerging Big Data technologies and recommend improvements to existing software architectures. Software Integration, Testing & Quality Assurance
• Develop and implement software integration strategies and testing procedures.
• Create and execute software test plans, test scripts, and validation procedures.
• Perform software integration testing, troubleshooting, and defect resolution.
• Review software components for compliance with design specifications and technical requirements.
• Support system testing, regression testing, and operational validation activities.
• Identify performance bottlenecks and recommend software enhancements.
• Maintain technical documentation, test results, and software engineering deliverables. Cloud Analytics & Application Development
• Develop and deploy applications within cloud computing environments.
• Support development of data-driven analytics, event-driven analytics, and rule-based analytic processing.
• Develop RESTful services and APIs supporting application integration and data access.
• Implement data serialization and transformation using JSON, BSON, and related technologies.
• Support analytics involving large-scale structured and unstructured datasets.
• Collaborate with engineering teams to integrate analytic capabilities into operational software systems.
• Evaluate cloud scalability and distributed processing requirements.
• Support application modernization and integration with cloud-based infrastructure. Required Qualifications
• Active TS/SCI security clearance with current Full Scope Polygraph (FSP) is required.
• At least eight (8) years of experience in software development or engineering, including requirements analysis, development, installation, integration, evaluation, enhancement, maintenance, testing, and problem diagnosis and resolution.
• At least six (6) years of experience developing software using high-level programming languages, such as Java, C, or C++.
• Demonstrated experience working with open-source NoSQL technologies supporting highly distributed and massively parallel computing, such as HBase, Accumulo, BigTable, or comparable platforms.
• Demonstrated experience with the MapReduce programming model and technologies such as Hadoop, Hive, and Pig.
• Experience working with the Hadoop Distributed File System (HDFS).
• Experience with data serialization formats such as JSON and/or BSON.
• Demonstrated experience developing RESTful services.
• At least five (5) years of experience developing software for UNIX/Linux operating systems, including Red Hat environments.
• Experience performing requirements analysis and designing at least one object-oriented software system.
• Demonstrated experience developing solutions that integrate and extend FOSS/COTS products.
• At least three (3) years of experience in software integration and testing, including developing and implementing test plans and test scripts.
• Demonstrated technical writing skills, including preparing technical documentation for software development projects.
• Hadoop/Cloud Developer Certification or comparable Cloud System/Service Certification.
• Demonstrated experience in at least four (4) of the desired technical characteristics applicable to this labor category.
• Strong analytical, troubleshooting, communication, and problem-solving skills. Education
• Bachelor's degree in Computer Science or a related technical field is highly desired.
• A bachelor's degree in a technical field may be considered equivalent to two (2) years of experience.
• A master's degree in a technical field may be considered equivalent to four (4) years of experience.
• Mathematics, Information Systems, Engineering, and similar disciplines are considered technical fields.

Preferred Qualifications

• Understanding of Big Data cloud scalability concepts and architectures used by major cloud technology providers.
• Experience designing and developing automated analytic software, techniques, and algorithms.
• Experience developing and deploying analytics involving foreign-language processing.
• Experience developing analytic processes incorporating multimedia technologies, including speech, text, image, and video exploitation.
• Experience developing analytics that operate on massive datasets, including environments containing more than one billion rows or exceeding 10 petabytes.
• Experience developing analytics that identify semantic relationships between structured and unstructured datasets using inference engines or comparable technologies.
• Experience developing analytics that identify latent patterns and relationships within extremely large datasets.
• Experience applying artificial intelligence techniques, including genetic algorithms or comparable approaches.
• Experience constructing taxonomies for analytic disciplines, knowledge areas, and technical skills.
• Knowledge of linguistics, including grammar, morphology, and conceptual relationships.
• Experience developing analytics that identify, analyze, and exploit social networks.
• Experience documenting ontologies, data models, schemas, formats, data element dictionaries, APIs, and technical specifications.
• Experience developing and deploying analytics within heterogeneous schema environments.
• Experience deploying applications in cloud environments.
• Experience developing data-driven analytics, event-driven analytics, and analytic workflows orchestrated through rules engines.
• Experience supporting distributed data processing, cloud scalability, and high-performance computing environments. Additional Cloud Software Engineering Capabilities
• Develop software solutions supporting highly distributed and massively parallel processing environments.
• Apply modern software engineering practices throughout the software development lifecycle.
• Integrate open-source technologies and commercial software products into enterprise environments.
• Support software modernization and cloud application deployment initiatives.
• Develop RESTful services and data processing interfaces.
• Implement scalable data storage, transformation, and retrieval solutions.
• Support development of advanced analytics and automated processing capabilities.
• Evaluate emerging cloud technologies and recommend improvements to software architectures.
• Develop and maintain technical documentation, software specifications, and testing deliverables.
• Collaborate with multidisciplinary engineering teams to resolve technical challenges.
• Support system integration, validation, performance optimization, and operational sustainment.
• Ensure developed software solutions meet customer requirements and mission objectives.

Clearance Requirements Active TS/SCI security clearance with current Full Scope Polygraph (FSP) is required. Due to federal contract requirements, United States Citizenship and position-appropriate security clearance are required. The Wyetech Advantage At Wyetech, you’ll be at the center of an award-winning corporate culture, breaking technological barriers and solving real-world problems for our federal government customers. We are committed to hiring the best of the best, and in return, we offer a world-class, truly unique employee e