FTI - Frontier Technology Inc.

Machine Learning Engineer

• Design, develop, and deploy AI/ML models and pipelines that meet mission and performance objectives.
• Build, train, and fine-tune models using frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, and LangChain.
• Develop and operationalize MLOps pipelines (MLflow, Kubeflow, DVC, or custom training/inference orchestration).
• Implement and optimize vector databases (Milvus, Pinecone, Chroma, FAISS) and retrieval architectures (RAG, graph, hybrid).
• Write clean, efficient Python code for data ingestion, feature engineering, embeddings, and inference services.
• Experiment with fine-tuning and optimization of LLMs and task-specific models (LoRA, QLoRA, PEFT).
• Contribute to agent-based applications using frameworks like LangGraph, AutoGen, CrewAI, or DSPy.
• Integrate AI services into real-world systems via APIs, event-driven workflows, or UI copilots.
• Collaborate with data engineers, software developers, and mission analysts to ensure AI models are production-ready and aligned with customer needs.
• Participate in peer reviews, contribute to shared repositories, and document models and experiments for reproducibility.

AI/ML Engineer

Full-stack Engineer

• Design and implement APIs, data pipelines, and simulation runtime logic
• Develop software using modern programming languages such as Java, Python, C++, or TypeScript/Angular
• Write clean, testable, and maintainable code following secure coding and software engineering best practices
• Build and integrate modular microservices to improve scalability, maintainability, and interoperability
• Build and deploy containerized, cloud-native services using Docker, Kubernetes, and CI/CD pipelines
• Implement Infrastructure-as-Code and automation scripts
• Contribute to secure deployments across hybrid or disconnected environments
• Develop distributed systems and data integration frameworks using message buses
• Engineer data flow between analytic, AI, and simulation components
• Collaborate with system engineers and architects to ensure interoperability across software ecosystems
• Build and manage databases and model complex data relationships
• Write, test, and deploy software within secure or classified environments

AI/ML Software Engineer

• Design and implement APIs, data pipelines, and simulation runtime logic that connect and enable mission applications.
• Develop software using modern programming languages such as Java, Python, C++, or TypeScript/Angular.
• Write clean, testable, and maintainable code following secure coding and software engineering best practices.
• Build and integrate modular microservices to improve scalability, maintainability, and interoperability.
• Build and deploy containerized, cloud-native services using Docker, Kubernetes, and CI/CD pipelines (GitLab, Jenkins, or equivalent).
• Implement Infrastructure-as-Code and automation scripts to accelerate deployment and configuration management.
• Develop distributed systems and data integration frameworks using message buses such as Kafka or Redis.
• Collaborate with system engineers and architects to ensure interoperability across software ecosystems.
• Build and manage databases (PostgreSQL, MongoDB, graph DBs) and model complex data relationships.
• Write, test, and deploy software within secure or classified environments.
• Support the transition of prototypes to operational systems, focusing on maintainability and observability.

• Design and implement APIs, data pipelines, and simulation runtime logic that connect and enable mission applications.
• Develop software using modern programming languages such as Java, Python, C++, or TypeScript/Angular.
• Write clean, testable, and maintainable code following secure coding and software engineering best practices.
• Build and integrate modular microservices to improve scalability, maintainability, and interoperability.
• Build and deploy containerized, cloud-native services using Docker, Kubernetes, and CI/CD pipelines (GitLab, Jenkins, or equivalent).
• Implement Infrastructure-as-Code and automation scripts to accelerate deployment and configuration management.
• Contribute to secure deployments across hybrid or disconnected environments (IL4–IL6, AWS GovCloud, or on-prem).
• Develop distributed systems and data integration frameworks using message buses such as Kafka or Redis.
• Engineer data flow between analytic, AI, and simulation components to support real-time mission use cases.
• Build and manage databases (PostgreSQL, MongoDB, graph DBs) and model complex data relationships.
• Develop data services that feed analytics pipelines or integrate AI/ML outputs into runtime systems.
• Write, test, and deploy software within secure or classified environments.
• Automate testing and monitoring to ensure performance, reliability, and repeatable deployments.
• Support the transition of prototypes to operational systems, focusing on maintainability and observability.

• Architect and deploy secure, distributed platforms supporting modular, multi-service software environments.
• Design and integrate APIs, microservices, and data pipelines that enable interoperability across mission, simulation, and analytical systems.
• Define and enforce architectural principles, modularity standards, and software best practices across development teams.
• Engineer solutions that bridge cloud, on-prem, and classified enclaves, ensuring interoperability and compliance.
• Engineer cloud-native solutions in AWS GovCloud or hybrid IL4–IL6 environments with strict security and accreditation requirements.
• Implement Infrastructure-as-Code (Terraform, CloudFormation, or CDK) to automate provisioning, configuration, and accreditation workflows.
• Build and maintain CI/CD pipelines that embed security, compliance, and automated testing from development through deployment.
• Ensure all platform designs support zero-trust principles, multi-enclave deployment, and repeatable accreditation (ATO) processes.
• Design or oversee large-scale data ingestion, transformation, and orchestration environments (Kafka, Airflow, Spark, or Databricks).
• Shape data architectures that balance throughput, latency, and cost across distributed mission environments.
• Enable secure and efficient data access and synchronization across analytical, AI-enabled, and simulation workloads.
• Transition software and platforms from prototype to production, ensuring maintainability, observability, and configuration consistency.
• Establish automated testing, release governance, and performance monitoring standards for ongoing sustainment.
• Lead by example as a hands-on technical authority, guiding design and implementation decisions.
• Mentor software engineers and architects to raise technical standards, code quality, and architectural maturity.

Distinguished Software Engineering Lead

• Architect and deploy secure, distributed platforms supporting modular, multi-service software environments.
• Design and integrate APIs, microservices, and data pipelines that enable interoperability across mission, simulation, and analytical systems.
• Define and enforce architectural principles, modularity standards, and software best practices across development teams.
• Engineer solutions that bridge cloud, on-prem, and classified enclaves, ensuring interoperability and compliance.
• Engineer cloud-native solutions in AWS GovCloud or hybrid IL4–IL6 environments with strict security and accreditation requirements.
• Implement Infrastructure-as-Code (Terraform, CloudFormation, or CDK) to automate provisioning, configuration, and accreditation workflows.
• Build and maintain CI/CD pipelines that embed security, compliance, and automated testing from development through deployment.
• Ensure all platform designs support zero-trust principles, multi-enclave deployment, and repeatable accreditation (ATO) processes.
• Design or oversee large-scale data ingestion, transformation, and orchestration environments (Kafka, Airflow, Spark, or Databricks).
• Shape data architectures that balance throughput, latency, and cost across distributed mission environments.
• Enable secure and efficient data access and synchronization across analytical, AI-enabled, and simulation workloads.
• Transition software and platforms from prototype to production, ensuring maintainability, observability, and configuration consistency.
• Establish automated testing, release governance, and performance monitoring standards for ongoing sustainment.
• Partner with program and product leadership to align delivery with mission lifecycle requirements.
• Engineer architectures for redundancy and resilience under degraded or disconnected operational conditions.
• Design and maintain secure enclave architectures, boundary controls, and cross-domain integration solutions.
• Collaborate with cybersecurity and ISSM teams to support ATO and ongoing accreditation automation.
• Integrate emerging technologies, open standards, and modern frameworks into operational systems.
• Collaborate with AI/ML, data, and simulation teams to enable model integration and inference services within production software (familiarity with MLOps concepts preferred).

• Architect and deploy secure, distributed platforms supporting modular, multi-service software environments.
• Design and integrate APIs, microservices, and data pipelines that enable interoperability across mission, simulation, and analytical systems.
• Define and enforce architectural principles, modularity standards, and software best practices across development teams.
• Engineer solutions that bridge cloud, on-prem, and classified enclaves, ensuring interoperability and compliance.
• Engineer cloud-native solutions in AWS GovCloud or hybrid IL4–IL6 environments with strict security and accreditation requirements.
• Implement Infrastructure-as-Code (Terraform, CloudFormation, or CDK) to automate provisioning, configuration, and accreditation workflows.
• Build and maintain CI/CD pipelines that embed security, compliance, and automated testing from development through deployment.
• Ensure all platform designs support zero-trust principles, multi-enclave deployment, and repeatable accreditation (ATO) processes.
• Design or oversee large-scale data ingestion, transformation, and orchestration environments (Kafka, Airflow, Spark, or Databricks).
• Shape data architectures that balance throughput, latency, and cost across distributed mission environments.
• Enable secure and efficient data access and synchronization across analytical, AI-enabled, and simulation workloads.
• Transition software and platforms from prototype to production, ensuring maintainability, observability, and configuration consistency.
• Establish automated testing, release governance, and performance monitoring standards for ongoing sustainment.
• Partner with program and product leadership to align delivery with mission lifecycle requirements.
• Engineer architectures for redundancy and resilience under degraded or disconnected operational conditions.
• Design and maintain secure enclave architectures, boundary controls, and cross-domain integration solutions.
• Collaborate with cybersecurity and ISSM teams to support ATO and ongoing accreditation automation.
• Integrate emerging technologies, open standards, and modern frameworks into operational systems.
• Collaborate with AI/ML, data, and simulation teams to enable model integration and inference services within production software (familiarity with MLOps concepts preferred).
• Evaluate new tools and frameworks to improve developer productivity, performance, and automation efficiency.
• Lead by example as a hands-on technical authority, guiding design and implementation decisions.
• Mentor software engineers and architects to raise technical standards, code quality, and architectural maturity.
• Partner with fellow Distinguished Engineers and organizational leaders to align platform strategy with enterprise innovation goals.

Security Engineer

• Architect, design, and implement secure infrastructure solutions across Windows, RHEL Linux, virtualization, storage, and networking technologies in classified environments.
• Develop cybersecurity and infrastructure architectures from concept through deployment, integrating security controls, systems hardening, and DISA STIG compliance.
• Conduct architecture assessments to identify risks, gaps, and mitigation strategies; ensure designs support mission needs, scalability, resilience, and operational readiness.
• Lead RMF and ATO-aligned systems engineering activities, including compliant infrastructure design, control implementation, documentation, and remediation.
• Design secure network segmentation, access control strategies, virtualization architectures, and system integration approaches.
• Implement centralized logging, monitoring, auditing, and SIEM solutions to enhance visibility and security posture.
• Support resilience initiatives through backup, recovery, failover, and continuity architecture for mission-critical systems.
• Develop technical architecture documentation, infrastructure standards, and repeatable deployment processes.
• Collaborate closely with engineering, cybersecurity, ISSO, and mission teams to drive secure, integrated infrastructure solutions and modernization initiatives.
• Provide technical leadership during architecture reviews, incident investigations, and complex implementation efforts.
• Travel up to 50%, typically in 1–2 week trips. Common destinations include Pt. Mugu, CA.

Senior Advisory Security Architect

• Architect, design, and implement secure infrastructure solutions across Windows, RHEL Linux, virtualization, storage, and networking technologies in classified environments
• Develop cybersecurity and infrastructure architectures from concept through deployment, integrating security controls, systems hardening, and DISA STIG compliance
• Conduct architecture assessments to identify risks, gaps, and mitigation strategies; ensure designs support mission needs, scalability, resilience, and operational readiness
• Lead RMF and ATO-aligned systems engineering activities, including compliant infrastructure design, control implementation, documentation, and remediation
• Design secure network segmentation, access control strategies, virtualization architectures, and system integration approaches
• Implement centralized logging, monitoring, auditing, and SIEM solutions to enhance visibility and security posture
• Support resilience initiatives through backup, recovery, failover, and continuity architecture for mission-critical systems
• Develop technical architecture documentation, infrastructure standards, and repeatable deployment processes
• Collaborate closely with engineering, cybersecurity, ISSO, and mission teams to drive secure, integrated infrastructure solutions and modernization initiatives
• Provide technical leadership during architecture reviews, incident investigations, and complex implementation efforts

• Design and implement APIs, data pipelines, and simulation runtime logic that connect and enable mission applications
• Develop software using modern programming languages such as Java, Python, C++, or TypeScript/Angular
• Write clean, testable, and maintainable code following secure coding and software engineering best practices
• Build and integrate modular microservices to improve scalability, maintainability, and interoperability
• Build and deploy containerized, cloud-native services using Docker, Kubernetes, and CI/CD pipelines (GitLab, Jenkins, or equivalent)
• Implement Infrastructure-as-Code and automation scripts to accelerate deployment and configuration management
• Develop distributed systems and data integration frameworks using message buses such as Kafka or Redis
• Engineer data flow between analytic, AI, and simulation components to support real-time mission use cases
• Collaborate with system engineers and architects to ensure interoperability across software ecosystems
• Build and manage databases (PostgreSQL, MongoDB, graph DBs) and model complex data relationships
• Write, test, and deploy software within secure or classified environments.

• Support Cyber Operations (6STS) program office providing expertise and support in network security engineering and/or integration of security products.
• Ensure the appropriate operational security posture is maintained for the assigned IT.
• Implements and enforce all AF cybersecurity policies, procedures, and countermeasures.
• Completes and maintains required cybersecurity certification IAW AFMAN 17-1303.
• Ensure all users have the requisite security clearances and need-to-know, complete annual cybersecurity training, and are aware of their responsibilities before being granted access to the IT according to AFMAN 17-1301.
• Maintains all authorized user access control documentation IAW the applicable AF Records Information Management System.
• Ensures software, hardware, and firmware is in compliance with appropriate security configuration guidelines (e.g., security technical implementation guides /security requirement guides).
• Ensures proper configuration management procedures are followed prior to implementation and contingent upon necessary approval.
• Coordinate changes or modifications with the system-level ISSM, SCA, and/or the Wing Cybersecurity office.
• Initiates protective or corrective measures, in coordination with the ISSM, when a security incident or vulnerability is discovered.
• Reports security incidents or vulnerabilities to the system-level ISSM and wing cybersecurity office according to AFI 17-203, Cyber Incident Handling.
• Initiates exceptions, deviations, or waivers to cybersecurity requirement.

Senior Advisory Information Systems Security Engineer – ISSE

• Work on Defensive Cyber Operations for Space (DCO-S) providing expertise and support in network security engineering and/or integration of security products
• Ensure the appropriate operational security posture is maintained for assigned IT
• Implement and enforce all AF cybersecurity policies, procedures, and countermeasures
• Complete and maintain required cybersecurity certification IAW AFMAN 17-1303
• Ensure all users have requisite security clearances and need-to-know and complete annual cybersecurity training
• Maintain all authorized user access control documentation IAW the applicable AF Records Information Management System
• Leverage ACAS, Nessus, and Tenable solutions to support continuous monitoring, vulnerability management, and RMF compliance
• Ensure software, hardware, and firmware comply with appropriate security configuration guidelines
• Coordinate changes or modifications with the system-level ISSM, SCA, and/or Wing Cybersecurity office
• Initiate protective or corrective measures when a security incident or vulnerability is discovered
• Report security incidents or vulnerabilities to the system-level ISSM and wing cybersecurity office according to AFI 17-203
• Initiate exceptions, deviations, or waivers to cybersecurity requirement.

AI/ML Engineer

AI/ML Engineer

AI/ML Software Engineer

AI/ML Software Engineer

AI/ML Software Engineer

Distinguished Software Engineering Lead

Distinguished Software Engineering Lead

Distinguished Software Engineering Lead

Senior Advisory Security Architect

Senior Advisory Security Architect

AI/ML Software Engineer

Senior Advisory Information Systems Security Engineer – ISSE

Advisory Information Systems Security Officer – ISSO