Jobs at Capital Technology Group

Leads the evaluation, design, development, and deployment of production AI/ML applications in AWS environments. Builds and optimizes machine learning models, assesses emerging technologies, presents technical recommendations, collaborates with federal clients, and mentors engineering teams. The role also supports cloud-native development, operations, security, enterprise AI adoption, and experimentation involving modern AI platforms and practices.

Develops and maintains user manuals, technical specifications, online help, training materials, reports, and process documentation for mission-critical software systems. Translates complex technical concepts for technical and non-technical audiences, manages documentation through publication, edits content for accuracy and consistency, supports usability testing, and communicates updates to stakeholders. Collaborates with engineers, product teams, and subject matter experts in secure, regulated environments.

Lead design and modernization of secure, scalable backend systems for federal missions. Drive architecture, API design (REST/GraphQL), cloud-native development, CI/CD, DevSecOps, troubleshooting, and mentor engineers to deliver production-ready solutions.

Lead design, development, and modernization of enterprise Ruby/Rails backend systems. Architect REST and GraphQL APIs, build cloud-native apps (AWS/Azure), drive CI/CD and DevSecOps, troubleshoot production issues, mentor engineers, and establish secure, scalable engineering practices across the full software lifecycle.

Leads the design, development, and maintenance of scalable AWS data platforms, pipelines, ETL/ELT workflows, data models, and orchestration systems. Uses Python, PySpark, SQL, dbt, AWS services, modern lakehouse technologies, and CI/CD practices to deliver secure federal data solutions. Responsibilities include platform modernization, performance optimization, AI-enabled data integration, compliance support, technical mentoring, architecture discussions, and cross-functional Agile collaboration.

Develop and implement quality strategies, automated testing frameworks, and validation practices for data pipelines and analytical datasets. Test accuracy, completeness, integrity, schema consistency, business rules, and freshness using Python, PySpark, SQL, Spark, Airflow, and AWS. Investigate data anomalies and pipeline failures, monitor quality metrics, support CI/CD and releases, and collaborate with engineers, analysts, data scientists, and stakeholders to ensure reliable financial and regulatory data.

Design, develop, test, and maintain secure, scalable software applications and backend services for federal modernization initiatives. Build Java and Groovy services, REST and GraphQL APIs, database integrations, and distributed systems. Collaborate with engineering, DevSecOps, infrastructure, product, and delivery teams while contributing to CI/CD, automated testing, cloud adoption, troubleshooting, documentation, and application modernization.

Implement and maintain enterprise PKI architecture for secure federal systems. Build CI/CD pipelines, automate Windows and Linux infrastructure provisioning, manage Docker and Kubernetes workloads, administer AWS infrastructure, operate Hardware Security Modules, and support certificate lifecycle management. The role requires collaboration across application development, cloud infrastructure, identity, security, and compliance domains in highly regulated environments.

Design and lead end-to-end, secure, scalable application and integration architectures for federal modernization projects. Translate requirements into architecture strategies, guide API and cloud designs, evaluate tradeoffs, mentor teams, and ensure solutions meet security, compliance, and performance needs.

Design, build, and maintain scalable ETL/ELT data pipelines and analytical platforms on AWS and Databricks. Migrate legacy workflows to cloud-native services, implement data lake and catalog solutions, enable AI/RAG/vector search, ensure FedRAMP/NIST compliance, optimize performance, and mentor junior engineers while collaborating in Agile teams.