The Amatriot Group

Security Engineer

• Provide cybersecurity engineering, information assurance, and security architecture support for USSTRATCOM
• Support 24/7 IT services and network operations for NIPRNet, SIPRNet, JWICS, and SAP/SAR environments
• Conduct cyber forensics, intrusion detection, threat analysis, incident response, and vulnerability assessments
• Design secure architectures for enterprise systems, applications, and cloud platforms
• Implement and support system and network security, cryptography, firewalls, identity management, and secure architectures
• Develop secure code and automate security workflows using Java, C++, and Python
• Apply DevSecOps practices across cloud and virtualized environments
• Use security tools including Splunk, Nessus, Wireshark, Nmap, and AWS/Azure/GCP security suites
• Document security activities and communicate findings with stakeholders

Cybersecurity Engineer

• Support USSTRATCOM mission objectives involving strategic deterrence, nuclear operations, and enterprise IT services
• Provide 24/7 IT services and network support for NIPRNet, SIPRNet, JWICS, and SAP/SAR environments
• Perform cyber forensics, intrusion detection, threat analysis, incident response, and vulnerability assessments
• Design secure architectures for enterprise systems, applications, and cloud platforms
• Implement and support system/network security, cryptography, firewalls, identity management, and secure architectures
• Develop secure code and automation using Java, C++, and Python
• Apply DevSecOps practices, cloud security, virtualization, and infrastructure-as-code
• Use security and vulnerability management tools including Splunk, Nessus, Wireshark, Nmap, and cloud security suites

Data Engineer

• Design, build, and maintain scalable data systems and pipelines for analytics and reporting.
• Ingest, process, transform, validate, cleanse, and unify large and disparate data sources.
• Develop and maintain ETL/ELT, Kafka, Elastic, and Logstash pipelines.
• Automate data-related processing and monitoring activities.
• Implement data solutions using Confluent Kafka, Elastic Stack, AWS, and Red Hat OpenShift/Kubernetes.
• Develop and manage data warehouses and data lakes, operational dashboards, Kibana visualizations, and dashboards.
• Develop data-engineering capabilities using Python, Java, SQL, shell scripting, React, JavaScript, and HTML.
• Analyze and optimize ingestion throughput, query performance, indexing, storage efficiency, infrastructure performance, scalability, reliability, and cost effectiveness.
• Troubleshoot data ingestion, processing, storage, memory utilization, partitioning, cluster performance, and downstream analytics issues.
• Ensure data quality, security, access control, and compliance with DoD and DISA requirements.
• Support CI/CD pipelines, automated build/test/deployment, version control, and DevOps workflows.
• Collaborate with analysts, visualization engineers, software developers, network operations teams, and stakeholders.
• Document data architecture, integration patterns, configurations, operational procedures, platforms, pipelines, and applications.

Data Engineering Software Developer, Mid

• Design, build, and maintain scalable data systems and pipelines for complex data sources
• Integrate network operations data into consistent, accessible platforms
• Create and maintain Kafka, Elastic, and Logstash ingestion and processing pipelines
• Automate ETL/ELT, data validation, cleansing, monitoring, and data-processing activities
• Implement data solutions using Confluent Kafka, Elastic Stack, AWS, and Red Hat OpenShift/Kubernetes
• Develop and manage data warehouses and data lakes
• Support Kibana dashboards and visualizations using React, JavaScript, and HTML
• Analyze and optimize ingestion throughput, query performance, indexing, storage efficiency, and cluster performance
• Troubleshoot data ingestion, processing, storage, memory, partitioning, and performance issues
• Ensure data quality, security, and compliance with DoD and DISA requirements
• Support CI/CD pipelines, version control, and DevOps workflows
• Collaborate with analysts, visualization engineers, software developers, and stakeholders
• Document data architecture, integrations, configurations, procedures, and runbooks

Data Engineering Software Developer – SME

• Design, build, and maintain scalable data systems and pipelines for ingesting, processing, and transforming large, complex, and disparate data sources
• Unify and integrate data from multiple network operations systems into a consistent and accessible platform
• Create and maintain Kafka, Elastic, and Logstash pipelines for enterprise data ingestion and processing
• Automate ETL/ELT processes, data validation, cleansing, monitoring, and related data-engineering activities
• Implement data solutions using Confluent Kafka, Elastic Stack, AWS, and Red Hat OpenShift/Kubernetes
• Develop and manage data warehouses and data lakes supporting analytics, reporting, and operational dashboards
• Optimize data infrastructure for scalability, reliability, performance, and cost effectiveness
• Analyze and optimize ingestion throughput, query performance, indexing strategies, storage efficiency, and cluster utilization
• Troubleshoot and resolve data ingestion, processing, storage, memory, partitioning, and cluster performance issues
• Support Kibana visualizations and dashboards using React, JavaScript, and HTML
• Collaborate with data analysts, visualization engineers, and stakeholders to deliver integrated data solutions
• Ensure data quality, accuracy, security, and compliance with DoD and DISA requirements
• Support CI/CD pipelines and apply version control and DevOps practices
• Document data architecture, integration patterns, platform configurations, and operational procedures
• Collaborate across software, integration, data, analytics, and network operations teams

Senior Data Engineering Software Developer

• Gather, clean, and validate data from multiple sources
• Analyze complex datasets to identify trends, patterns, and insights
• Design and develop interactive dashboards, reports, and visualizations using Kibana
• Apply visual design and accessibility principles to dashboard design
• Translate analytical results into actionable recommendations and present findings to technical and non-technical audiences
• Engage stakeholders to understand business needs, operational challenges, and data requirements
• Refine and maintain data transformation pipelines
• Develop and maintain self-service analytics tools and reusable data assets
• Document data models, business logic, transformation processes, and analytics workflows
• Collaborate with data engineers, business analysts, and stakeholders to deliver integrated data solutions

• Design, build, and maintain scalable data systems and pipelines for ingesting, processing, and transforming complex data sources
• Unify and integrate data from multiple network operations systems
• Create and maintain Kafka, Elastic, and Logstash pipelines
• Automate ETL/ELT processes, data validation, cleansing, monitoring, and related data-processing activities
• Implement data solutions using Confluent Kafka, Elastic Stack, AWS, and Red Hat OpenShift/Kubernetes
• Develop and manage data warehouses and data lakes for analytics, reporting, and operational dashboards
• Support Kibana visualizations and dashboards using React, JavaScript, and HTML
• Optimize ingestion throughput, query performance, indexing strategies, storage efficiency, and cluster performance
• Troubleshoot data ingestion, processing, storage, memory, partitioning, and platform performance issues
• Support CI/CD pipelines, version control, DevOps workflows, secure data access, and platform configuration
• Collaborate with analysts, visualization engineers, software developers, and other stakeholders
• Document data architecture, integration patterns, platform configurations, operational procedures, and runbooks

Junior Data Engineering Software Developer

• Design, build, and maintain scalable data systems and pipelines for analytics and reporting
• Ingest, process, transform, validate, cleanse, unify, and integrate large and disparate data sources
• Create and maintain Kafka, Elastic, and Logstash pipelines
• Automate data processing and monitoring activities
• Implement data solutions using Confluent Kafka, Elastic Stack, AWS, and Red Hat OpenShift/Kubernetes
• Develop and manage data warehouses and data lakes
• Develop data-engineering capabilities using Python, Java, SQL, shell scripting, React, JavaScript, and HTML
• Support Kibana visualizations and dashboards
• Optimize ingestion throughput, query performance, indexing, storage efficiency, infrastructure, and cluster performance
• Troubleshoot data ingestion, processing, storage, memory, partitioning, and performance issues
• Ensure data quality, security, and compliance with DoD and DISA requirements
• Support CI/CD pipelines, version control, and DevOps workflows
• Collaborate with analysts, visualization engineers, software developers, and stakeholders
• Document data architecture, integration patterns, configurations, procedures, pipelines, platforms, and applications

Data Engineering Software Developer – Mid

• Design, build, and maintain scalable data systems and pipelines for ingesting, processing, and transforming complex data sources
• Unify and integrate data from multiple network operations systems
• Create and maintain Kafka, Elastic, and Logstash pipelines
• Automate ETL/ELT processes, data validation, cleansing, and monitoring
• Implement data solutions using Confluent Kafka, Elastic Stack, AWS, and Red Hat OpenShift/Kubernetes
• Develop and manage data warehouses and data lakes for analytics, reporting, and operational dashboards
• Support Kibana visualizations and dashboards using React, JavaScript, and HTML
• Analyze and optimize ingestion throughput, query performance, indexing strategies, and storage efficiency
• Troubleshoot data ingestion, processing, storage, memory, partitioning, and cluster performance issues
• Ensure data quality, security, and compliance with DoD and DISA requirements
• Support CI/CD pipelines and apply version control and DevOps practices
• Collaborate with analysts, visualization engineers, software developers, and other stakeholders
• Document data architecture, integration patterns, platform configurations, operational procedures, and runbooks

• Design, build, integrate, and maintain scalable data systems and pipelines
• Ingest, process, transform, validate, cleanse, and monitor complex data sources
• Integrate data from multiple network operations systems
• Create and maintain Kafka, Elastic, and Logstash pipelines
• Implement solutions using Confluent Kafka, Elastic Stack, AWS, and Red Hat OpenShift/Kubernetes
• Develop and manage data warehouses and data lakes
• Support Kibana visualizations and dashboards using React, JavaScript, and HTML
• Optimize ingestion throughput, query performance, indexing, storage efficiency, and cluster performance
• Troubleshoot data ingestion, processing, storage, memory, partitioning, and performance issues
• Ensure data quality, security, and compliance with DoD and DISA requirements
• Support CI/CD build, test, and deployment activities
• Apply version control and DevOps practices
• Collaborate with analysts, visualization engineers, software developers, and other stakeholders
• Document data architecture, integration patterns, platform configurations, procedures, and runbooks

• Design, build, and maintain scalable data systems and pipelines for ingesting, processing, and transforming large, complex, and disparate data sources
• Unify and integrate data from multiple network operations systems into a consistent and accessible platform
• Create and maintain Kafka, Elastic, and Logstash pipelines
• Automate ETL/ELT processes, data validation, cleansing, monitoring, and related data-engineering activities
• Implement data solutions using Confluent Kafka, Elastic Stack, AWS, and Red Hat OpenShift/Kubernetes
• Develop and manage data warehouses and data lakes for analytics, reporting, and operational dashboards
• Optimize data infrastructure for scalability, reliability, performance, and cost effectiveness
• Analyze and optimize ingestion throughput, query performance, indexing, storage efficiency, and cluster utilization
• Troubleshoot data ingestion, processing, storage, memory, partitioning, and cluster-performance issues
• Support Kibana visualizations and dashboards using React, JavaScript, and HTML
• Collaborate with data analysts, visualization engineers, software, integration, analytics, and network operations teams
• Ensure data quality, security, and compliance with DoD and DISA requirements
• Support CI/CD pipelines, version control, DevOps practices, access controls, and configuration standards
• Document data architecture, integration patterns, platform configurations, operational procedures, and runbooks

• Gather, clean, and validate data from multiple sources
• Analyze complex datasets to identify trends, patterns, and insights
• Design and develop interactive dashboards, reports, and visualizations using Kibana
• Apply visual design principles, layout, content organization, and accessibility guidelines
• Translate analytical results into actionable recommendations and present findings to technical and non-technical audiences
• Engage stakeholders to understand business needs, operational challenges, and data requirements
• Refine and maintain data transformation pipelines
• Develop and maintain self-service analytics tools and reusable data assets
• Document data models, business logic, transformation processes, and analytics workflows
• Collaborate with data engineers, business analysts, and stakeholders to deliver integrated data solutions

Insurance

• Establish and lead a new Information Assurance team responsible for protecting information technology assets across unclassified and classified networks
• Provide technical leadership, mentoring, and oversight for Information Assurance Engineers
• Ensure information systems are securely configured, maintained, assessed, and operated according to applicable policies, standards, regulations, and cybersecurity requirements
• Conduct and oversee security assessments, vulnerability scans, and risk analyses
• Develop and implement risk mitigation actions for cybersecurity vulnerabilities and deficiencies
• Monitor system activity for unauthorized access, malware, and other security threats
• Support continuous improvement of security controls and system protection measures
• Ensure compliance with security frameworks, policies, and regulatory requirements
• Participate in security audits and compliance assessments
• Coordinate system certification and accreditation activities
• Support risk assessments, IT audits, security planning, system accreditation, and policy development
• Prepare for and respond to information security audits, questionnaires, and compliance activities
• Collaborate with IT, legal, compliance, and other teams to integrate security into system development and maintenance
• Provide technical guidance on information assurance, system security, and cybersecurity compliance
• Coach and support professional development of IA personnel
• Conduct performance assessments for assigned personnel
• Validate and approve time charging for assigned personnel
• Support establishment and development of the Information Assurance team

Information Assurance Lead

• Establish and lead a new Information Assurance team responsible for protecting information technology assets across unclassified and classified networks
• Provide technical leadership, mentoring, and oversight for Information Assurance Engineers
• Oversee information-system security, maintenance, configuration, and compliance with applicable policies, standards, regulations, and cybersecurity requirements
• Conduct and oversee security assessments, vulnerability scans, and risk analyses
• Develop and implement risk mitigation actions for cybersecurity vulnerabilities and deficiencies
• Monitor system activity for unauthorized access, malware, and other security threats
• Support continuous improvement of security controls and system protection measures
• Participate in security audits and compliance assessments
• Coordinate system certification and accreditation activities
• Support risk assessments, IT audits, security planning, system accreditation, and policy development
• Prepare for and respond to information-security audits, questionnaires, and compliance activities
• Collaborate with IT, legal, compliance, and other organizational teams to integrate security into system development and maintenance
• Provide technical guidance on information assurance, system security, and cybersecurity compliance
• Coach and support the professional development of IA personnel
• Conduct performance assessments and approve time charging for assigned personnel
• Support establishment and development of the Information Assurance team

Systems Engineer

• Administer and support Linux systems in production environments
• Support Ubuntu Linux environments
• Apply Linux system administration concepts to maintain reliable system operations
• Use the Linux command line and common shell utilities for administration and troubleshooting
• Troubleshoot complex infrastructure issues across operating systems
• Administer and troubleshoot servers in virtualized or cloud environments
• Support monitoring, logging, alerting, and diagnosis of system health and performance issues
• Apply working knowledge of TCP/IP networking, DNS, DHCP, HTTP/HTTPS, SSH, routing, firewalls, and network troubleshooting tools
• Support system security fundamentals, including patch management, access controls, SSH security, and vulnerability remediation
• Document infrastructure, configurations, troubleshooting procedures, and operational processes clearly

Cybersecurity Engineer

Cybersecurity Engineer

Data Engineering Software Developer, Mid

Data Engineering Software Developer – SME

Senior Data Engineering Software Developer

Data Engineer

Junior Data Engineering Software Developer

Data Engineering Software Developer – Mid

Junior Data Engineering Software Developer

Data Engineering Software Developer – SME

Senior Data Engineering Software Developer

Data Engineer

Information Assurance Lead

Information Assurance Lead

Junior Systems Engineer