Jobs at SageCor Solutions

Deploy machine learning algorithms and conduct AI/ML model testing and evaluation. Apply software engineering expertise and advanced knowledge of multiple programming languages to support high-performance computing, large-scale data analytics, and cutting-edge information technology solutions. An active TS/SCI clearance with polygraph is required.

Designs and implements machine learning models, data-mining methods, advanced analytical algorithms, statistical analyses, artificial intelligence solutions, and data-analysis software. The role requires extensive experience developing descriptive, predictive, and prescriptive analytics, analyzing datasets, and performing software or cloud development. An active TS/SCI clearance with polygraph is required, along with a quantitative degree or qualifying equivalent experience.

Apply machine learning techniques to high-performance computing, large-scale data analytics, and advanced information technology programs. Develop solutions using established machine learning frameworks such as PyTorch and TensorFlow. The role requires an advanced degree in artificial intelligence, data science, computer science, deep learning, or advanced mathematics, with substantial applied machine learning experience.

Develop software using Python and Linux tools, automate deployments with Ansible, manage PostgreSQL databases, implement CI/CD pipelines, use containerization technologies, and maintain Git source control. The role may also apply Agile methodologies and Atlassian tools while supporting high-performance computing, large-scale data analytics, and information technology programs. An active TS/SCI clearance with polygraph is required.

Develop and maintain software for high-performance computing and large-scale data analytics systems. Responsibilities include Python and Rust development, Bash automation, Linux systems administration, authentication and authorization for HPC environments, Ansible deployment orchestration, GitLab CI/CD, Git source control, and Agile development. An active TS/SCI clearance with polygraph is required.

Develops and integrates software systems for high-performance computing, large-scale data analytics, and information technology environments. Responsibilities include requirements analysis, system design, development, integration, and testing. The role requires extensive experience developing applications in C, C++, or Java across Unix, Linux, or Windows; scripting, databases, web technologies, software reverse engineering, Unix kernel concepts, and bit-level data analysis. An active TS/SCI clearance with polygraph is required.

Develop and maintain software using Python, Bash, Linux tools, and Git. Automate tasks and deployment processes, support CI/CD with GitLab CI, and work within Agile methodologies. The role may also involve Ansible, containerization, secrets management, identity and access management, datacenter infrastructure management, observability platforms, and Atlassian tools. An active TS/SCI clearance with polygraph is required.

The Configuration Manager will manage configuration management activities for programs and contracts of comparable scope and complexity. Responsibilities require at least eight years of configuration management experience, with source code control experience required for developmental programs. A technical or business bachelor’s degree is required, with experience substitutions available; a master’s degree may reduce the experience requirement.

Develop cloud software and distributed data applications using Hadoop, HDFS, NoSQL technologies, Java, C, or C++. Responsibilities include requirements analysis, object-oriented system design, application development in Windows or UNIX/Linux environments, and development of RESTful services. The role requires an active TS/SCI clearance with polygraph and substantial experience with distributed, massively parallel computing systems.

Elicit, analyze, and document functional requirements with customers and stakeholders. Translate requirements into Jira user stories and epics, conduct functional and manual application testing, and collaborate with Agile development teams. Communicate technical work to nontechnical stakeholders while using knowledge of software development concepts, RESTful microservices, and Java or JavaScript frameworks. Support cloud architecture and deployment, UX collaboration, and government reporting and dissemination initiatives.

Deploy and manage containerized applications using Kubernetes and Docker; develop or modify Java/Spring and Vue.js applications; maintain CI/CD pipelines, distributed web application deployments, Linux systems, and Git repositories. Desired work includes deployments across classified networks, AWS cloud architecture, Terraform, Ansible, Python, data platforms, and government reporting policies.

Build production-quality AI applications using Python and existing large language models. Design multi-agent and multi-step workflows with prompt chaining, tool use, and orchestration; engineer and evaluate prompts; integrate AI into RESTful APIs and microservices; and deploy solutions on AWS. Preferred work includes RAG pipelines, vector databases, observability, exploratory data analysis, and MLOps/LLMOps practices.

Develop and maintain full-stack applications and interfaces between multiple systems using Java, C/C++, scripting languages, Spring Boot, RESTful services, databases, search platforms, and Linux. Support application troubleshooting, system integration, reporting, and dissemination tools. Participate in an agile environment and provide rotating 24/7 pager support for emergencies. An active TS/SCI clearance with polygraph is required.

The Senior Information Systems Security Officer supports DoD programs by managing information security requirements, applying security frameworks and regulations, operating security tools and repositories, and ensuring compliance with organizational and federal standards. The role requires extensive ISSO experience, knowledge of server and information assurance technologies, networking protocols, DoD 8140.03 compliance, and an active TS/SCI clearance with polygraph.

Develop software for high-performance computing, large-data analytics, and advanced information technology systems. The role supports engineering and full lifecycle systems engineering services for federal programs and requires extensive experience delivering software on contracts of similar scope, type, and complexity.

Database Engineer responsible for designing, developing, implementing, and maintaining complex database systems. Duties include database architecture, schema development, query and script creation, data storage and retrieval, optimization, requirements analysis, and integration with broader system architectures. The role requires extensive Oracle Database installation, patching, Enterprise Manager, and Data Guard experience, along with Linux and Bash scripting skills. Active TS/SCI clearance with polygraph and DoD IAT Level II compliance are mandatory.

Provides software engineering and full-lifecycle systems engineering services supporting high-performance computing, large-scale data analytics, and advanced information technology initiatives. The role requires an active TS/SCI security clearance with polygraph and supports projects serving Maryland and the Greater Washington, D.C. area.

Develops software as part of full lifecycle systems engineering services supporting high-performance computing, large data analytics, and advanced information technology initiatives. The position requires an active TS/SCI security clearance with polygraph and is based in the Maryland and Greater Washington, D.C. area.

Integrates, installs, configures, upgrades, compiles, and supports COTS/GOTS software in heterogeneous operating environments. Administers Kubernetes clusters, troubleshoots workloads, develops Bash/Python scripts, applies Infrastructure as Code with Ansible, maintains Helm charts, monitors systems with Prometheus and Grafana, and collaborates using Git in a DevOps environment.

Own product strategy, roadmaps, feature prioritization, and stakeholder engagement for virtualization and containerization platforms. Lead enterprise product development from concept through launch, coordinate Agile delivery, mentor product managers, and align products with PMO objectives. The role requires deep VMware and Kubernetes expertise, government or intelligence-sector experience, strong communication, and active TS/SCI clearance with polygraph.