We are seeking a highly skilled System Administrator to support a program with the Defense Information Systems Agency (DISA). The ideal candidate will provide engineering, integration, administration, and operational support for enterprise infrastructure and mission-critical systems in a secure environment.
This role requires a proactive engineer with experience in multiple of the following areas: systems architecture, virtualization, automation, cybersecurity compliance, and enterprise operations. The selected candidate will work closely with government stakeholders, cybersecurity teams, network engineers, and mission partners to ensure high availability, performance, and security across the environment.
Clearance: This position requires an active DOW/DoD Secret Clearance.
Responsibilities & Duties:·Design, implement, maintain, and optimize enterprise systems infrastructure supporting software factory/environment operations
· Engineer and administer VMWare and Linux server environments in classified (IL6) and unclassified (IL5) networks
· Support cloud-based platforms including AWS and Azure
· Develop and maintain system documentation, architecture diagrams, SOPs, and operational procedures
· Perform systems monitoring, troubleshooting, performance tuning, and root-cause analysis
· Support patch management, STIG compliance, vulnerability remediation, and RMF activities
· Collaborate with cybersecurity personnel to ensure compliance with DoD security requirements
· Automate system administration and operational tasks using PowerShell, Bash, Python, or Ansible
· Support backup, disaster recovery, continuity of operations, and high-availability solutions
· Participate in system upgrades, migrations, and technology refresh initiatives
· Mentor junior engineers and contribute to technical strategy and process improvement initiatives
Required Qualifications:· Bachelor's degree in Information Technology, Computer Science, Engineering, or related field (or equivalent experience)
· 4+ years of systems engineering or enterprise infrastructure experience supporting DOW/DoD or federal government environments
·2+ years managing VMware vSphere environments, including ESXi hosts, vCenter, clusters, and VMs; familiarity with vMotion, Storage vMotion, HA, DRS, VM provisioning, snapshots, performance troubleshooting, and core VMware networking and storage concepts such as VMFS, VLANs, and distributed virtual switches
Strong experience with:
o Red Hat Enterprise Linux
o AWS and or Azure cloud environments
o Enterprise storage and backup technologies
o Automation and scripting tools
o Systems monitoring and performance management
· Understanding of RMF, STIGs, ACAS, and DoD cybersecurity policies
· Active Security+ CE or equivalent DoD 8570/8140 certification
· Active Secret clearance required
Preferred Qualifications:· Microsoft, Red Hat, VCP, or AWS certifications
· Experience with hybrid cloud environments and automation frameworks
· Knowledge of Kubernetes, containers, or modern platform engineering concepts
· Familiarity with DevSecOps methodologies and Infrastructure-as-Code
Desired Skills:· Strong analytical and troubleshooting abilities
· Excellent written and verbal communication skills
· Ability to work independently in fast-paced mission environments
· Strong customer engagement and stakeholder coordination experience
· Proven ability to manage competing priorities and operational deadlines
About NextGen:
NextGen Federal Systems is an innovative technology and professional services provider specializing in advanced software solutions and comprehensive mission and business support services. We work in close collaboration with our customers to truly understand their business and mission goals. Our approach is to design, build, implement, and manage solutions that measurably improve our client’s organizational performance. We have established and foster a corporate culture where we:
Treat employees with fairness and respect regardless of their position, sexual identity, race, or tenure.Communicate the importance of our mission and our employees’ contributions to it, ensuring they understand how their job role contributes to the greater good.Openly promote and communicate our ideas for change and adaptability.Strive to achieve results as an organization.Hold employees accountable to their commitments and provide incentives that encourage positive and productive behaviors.Value the talents and contributions of our employees as the key factor for our success.Create an environment where people can engage at all levels.Encourage people to take risks and allow them to make mistakes.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities.
RefID: A01
Read LessWe are seeking a highly skilled DevSecOps Engineer to support a program with the Defense Information Systems Agency (DISA). The ideal candidate will provide engineering, integration, administration, and operational support for a software factory infrastructure and operations in a secure environment.
This role requires a proactive engineer with experience in multiple of the following areas: systems architecture, virtualization, automation, cybersecurity compliance, and enterprise operations. The selected candidate will work closely with government stakeholders, cybersecurity teams, and mission partners to ensure high availability, performance, and security across the environment.
Clearance: This position requires an active DOW/DoD Secret Clearance.
Responsibilities & Duties:· Develop and maintain a DevOps toolchain platform for a mission critical program
· Provide expertise to the platform's tenants for CI/CD pipeline implementations
· Work with tech leads and architects to contribute to solutions and on-site implementation requirements
· Collaborate with government stakeholders, and across other program DevOps teams
· Provide inputs to the technical solutions team
· Track delivery assignments and follow up on direction, action items, questions, and documentation
Required Qualifications:· Bachelor's degree in Information Technology, Computer Science, Engineering, or related field (or equivalent experience)
· 3+ years of related professional experience (e.g., systems engineering, enterprise infrastructure experience, DevSecOps implementation)
· Strong experience with any or all of the following:
o Red Hat Enterprise Linux
o AWS and or Azure cloud environments
o Ansible, Python, or Terraform scripting experience
o Agile software development, CI/CD pipelines
o Containers and container security
· Experience supporting DOW/DoD or federal government environments
· Understanding of RMF, STIGs, ACAS, and DOW/DoD cybersecurity policies
· Active Security+ CE or equivalent DoD 8570/8140 certification
·CASP+
· Active Secret clearance required
Preferred Qualifications:· Firm understanding of SDLC (systems development lifecycle)
· Familiarity with Kubernetes implementations
· Infrastructure as Code (IaC), Python
· Helm charts, Docker, Terraform, Ansible, Bash, or YAML
· Systems administration experience
· Experience supporting large-scale enterprise or mission systems within DISA environments
Desired Skills:· Strong research and analytical skills
· Excellent written and verbal communication skills
· Ability to work independently in fast-paced mission environments
· Strong customer engagement and stakeholder coordination experience
· Proven ability to manage competing priorities and operational deadlines
About NextGen:
NextGen Federal Systems is an innovative technology and professional services provider specializing in advanced software solutions and comprehensive mission and business support services. We work in close collaboration with our customers to truly understand their business and mission goals. Our approach is to design, build, implement, and manage solutions that measurably improve our client’s organizational performance. We have established and foster a corporate culture where we:
Treat employees with fairness and respect regardless of their position, sexual identity, race, or tenure.Communicate the importance of our mission and our employees’ contributions to it, ensuring they understand how their job role contributes to the greater good.Openly promote and communicate our ideas for change and adaptability.Strive to achieve results as an organization.Hold employees accountable to their commitments and provide incentives that encourage positive and productive behaviors.Value the talents and contributions of our employees as the key factor for our success.Create an environment where people can engage at all levels.Encourage people to take risks and allow them to make mistakes.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities.
RefID: A01
Read LessNextGen is seeking a highly motivated Workflow Validation/Field Enablement Engineer to support the testing, validation, operational assessment, and field enablement of agentic AI workflows deployed across tactical and operational environments. This role focuses on validating AI-enabled workflows, ensuring operational reliability, supporting user acceptance activities, and enabling end users to effectively operate AI-assisted tools within mission environments using ReadiChat.
ReadiChat is a mission-focused, agentic AI platform designed to help organizations build, deploy, govern, and scale specialized AI agents for operational workflows. It combines AI agents, workflow orchestration, grounded knowledge, testing frameworks, and enterprise controls into a single collaborative workspace.
The ideal candidate will possess experience in operational testing, workflow validation, systems integration testing, user training, and field support. This role requires close collaboration with AI engineers, integration teams, mission stakeholders, and operational users to ensure AI-enabled workflows are safe, reliable, explainable, and mission-effective across edge, tactical, and disconnected environments, including deployments on the X9 Spider Mission Computer architecture.
ResponsibilitiesBuild and maintain end-to-end validation plans and operational test strategies for agentic AI workflows across local tools, edge-deployed models, MCP services, and external mission systems.Develop and execute regression test suites supporting prompt updates, model changes, MCP server modifications, X9 Spider hardware and firmware updates, workflow revisions, and published agent releases.Define and document pass/fail criteria for operational AI workflows, including correctness, reliability, safety, latency, explainability, usability, and mission effectiveness.Validate guardrails, operational boundaries, tool-use behavior, and workflow reliability under adversarial, malformed, degraded, and realistic field-operational input conditions.Execute workflow acceptance testing and operational validation activities on the X9 Spider Mission Computer and related edge-compute platforms.Capture, organize, and maintain validation evidence, test results, issue tracking, operational observations, and supporting artifacts required for customer review, accreditation, and signoff activities.Collaborate with AI engineers, integration teams, and operational stakeholders to identify workflow deficiencies, troubleshoot failures, and support corrective actions or workflow improvements.Validate workflow interoperability across AI agents, edge models, MCP services, reporting systems, mission applications, and operational command environments.Support operational demonstrations, field exercises, user evaluations, and mission rehearsal activities involving AI-enabled workflows and edge-compute systems.Train operational users and customer personnel on the effective use of AI agents and workflows in field environments, including workflow execution, output interpretation, operational limitations, troubleshooting basics, and uncertainty escalation procedures.Develop quick-reference guides, workflow playbooks, field-user instructions, troubleshooting aids, and operational support materials tailored for mission users and technical administrators.Establish and maintain user feedback mechanisms and operational reporting processes for capturing workflow deficiencies, inaccurate outputs, usability concerns, and missing operational capabilities.Support DevSecOps, release validation, and operational readiness activities associated with deployment and sustainment of AI-enabled workflows and edge-compute applications.
Required QualificationsBachelor’s degree in Computer Science, Systems Engineering, Information Systems, Operations Research, Human Systems Integration, or related technical discipline.4+ years of experience supporting operational testing, systems validation, workflow assessment, field enablement, or mission-system evaluation activities.Experience developing and executing test plans, regression suites, validation procedures, or operational acceptance criteria for software-enabled systems.Familiarity with AI-enabled workflows, agentic AI systems, operational software applications, or edge-compute platforms.Experience documenting test results, operational findings, and workflow deficiencies in structured and repeatable formats.Experience supporting end-user training, operational onboarding, or field enablement activities.Familiarity with troubleshooting software, integration, and operational workflow issues in tactical or enterprise environments.Strong analytical, organizational, and communication skills with the ability to work directly with operational users and technical teams.Active Security Clearance is requiredDesired QualificationsExperience supporting tactical, airborne, or edge-compute operational environments.Familiarity with X9 Spider Mission Computer architectures or similar operational compute platforms.Experience validating AI-enabled applications, workflow automation, or agentic AI systems.Familiarity with MCP services, operational APIs, external system integrations, or mission-command systems.Experience supporting operational demonstrations, Soldier Touch Points (STPs), developmental tests, operational tests, or field exercises.Familiarity with disconnected, degraded, intermittent, and low-bandwidth (DDIL) operational environments.
About NextGen:
NextGen Federal Systems is an innovative technology and professional services provider specializing in advanced software solutions and comprehensive mission and business support services. We work in close collaboration with our customers to truly understand their business and mission goals. Our approach is to design, build, implement, and manage solutions that measurably improve our client’s organizational performance. We have established and foster a corporate culture where we:
Treat employees with fairness and respect regardless of their position, sexual identity, race, or tenure.Communicate the importance of our mission and our employees’ contributions to it, ensuring they understand how their job role contributes to the greater good.Openly promote and communicate our ideas for change and adaptability.Strive to achieve results as an organization.Hold employees accountable to their commitments and provide incentives that encourage positive and productive behaviors.Value the talents and contributions of our employees as the key factor for our success.Create an environment where people can engage at all levels.Encourage people to take risks and allow them to make mistakes.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities.
RefID: A01
Read LessNextGen is seeking a highly motivated and technically skilled Edge AI/Model Optimization Engineer to support the deployment, optimization, and sustainment of AI and agentic AI capabilities within edge and tactical computing environments. This role focuses on evaluating, tuning, benchmarking, and operationalizing Large Language Models (LLMs), embedding models, and AI inference services for constrained hardware platforms, including the X9 Spider Mission Computer architecture and other edge compute systems supporting operational missions using ReadiChat.
ReadiChat is a mission-focused, agentic AI platform designed to help organizations build, deploy, govern, and scale specialized AI agents for operational workflows. It combines AI agents, workflow orchestration, grounded knowledge, testing frameworks, and enterprise controls into a single collaborative workspace.
The ideal candidate will possess expertise in AI model optimization, GPU-enabled edge computing, runtime performance tuning, and operational AI deployment. This role requires close collaboration with AI engineers, systems integrators, mission stakeholders, and operational users to ensure AI-enabled capabilities remain performant, reliable, and mission-effective within disconnected, degraded, intermittent, and low-bandwidth environments.
ResponsibilitiesEvaluate candidate Large Language Models (LLMs), embedding models, and AI inference solutions for quality, latency, memory utilization, reliability, and operational performance on embedded GPU-enabled edge compute platforms, including the X9 Spider Mission Computer architecture.Tune and optimize AI model runtime configurations for edge deployment, including quantization strategies, batching configurations, context window sizing, cache behavior, inference scheduling, and GPU memory utilization specific to operational edge hardware environments.Collaborate with customer stakeholders to assess mission requirements and evaluate alternative edge compute platforms when operational demands exceed X9 Spider capabilities or when cost, performance, power, size, weight, or thermal tradeoffs require additional analysis.Benchmark agentic AI workflows, inference pipelines, and model-serving architectures against target hardware constraints and operational performance thresholds.Recommend model-selection, runtime, and configuration tradeoffs balancing mission effectiveness, latency, throughput, resource utilization, reliability, and operational sustainability.Build and maintain repeatable performance and stress-testing frameworks for evaluating latency, throughput, tool-call overhead, failover behavior, degraded-resource conditions, and disconnected operational scenarios on edge compute platforms.Package, deploy, validate, and sustain local model-serving components and inference services to support reliable operation within tactical and edge environments.Collaborate with agent engineers, AI developers, and integration teams to validate that agent behavior, workflow reliability, and operational outcomes remain acceptable following model compression, quantization, runtime optimization, or hardware configuration changes.Support deployment, troubleshooting, optimization, and sustainment activities for AI-enabled applications operating in edge, airborne, tactical, or disconnected operational environments.Train customer technical personnel on supported model profiles, operational constraints, runtime tuning considerations, deployment limitations, troubleshooting procedures, and platform sustainment best practices.Maintain technical documentation, benchmarking results, model validation reports, deployment procedures, optimization baselines, configuration guides, and operational support materials.Support DevSecOps and CI/CD activities associated with AI model packaging, deployment automation, runtime validation, and operational release processes.Required QualificationsBachelor’s degree in Computer Science, Electrical Engineering, Computer Engineering, Data Science, Artificial Intelligence, or related technical discipline.5+ years of experience supporting AI/ML deployment, model optimization, edge computing, GPU acceleration, or AI inference operations.Experience deploying and optimizing LLMs, embedding models, or AI inference pipelines within resource-constrained or edge-compute environments.Experience with GPU-enabled systems and inference optimization technologies such as CUDA, TensorRT, ONNX Runtime, vLLM, Ollama, or equivalent platforms.Experience tuning AI runtime configurations including quantization, batching, caching, and memory optimization techniques.Experience benchmarking AI models and operational workflows against hardware performance constraints.Experience with Linux-based systems, containerized deployments, and orchestration technologies such as Docker and Kubernetes.Familiarity with Python and AI/ML deployment frameworks commonly used for edge inference and operational AI systems.Strong analytical, troubleshooting, and performance optimization skills.Ability to communicate technical findings and operational tradeoffs effectively to technical and non-technical stakeholders.Active Security Clearance is requiredDesired QualificationsExperience supporting tactical, airborne, or mission-command edge computing environments.Familiarity with X9 Spider Mission Computer architectures or similar embedded GPU-enabled mission systems.Experience supporting AI-enabled workflows within NGC2, AIDP, EMSCO, Lattice, or related operational ecosystems.Experience with model quantization techniques such as INT8, FP16, GGUF, GPTQ, AWQ, or similar optimization approaches.Familiarity with disconnected, degraded, intermittent, and low-bandwidth (DDIL) operational environments.Experience with hardware evaluation and performance trade studies for operational edge compute systems.About NextGen:
NextGen Federal Systems is an innovative technology and professional services provider specializing in advanced software solutions and comprehensive mission and business support services. We work in close collaboration with our customers to truly understand their business and mission goals. Our approach is to design, build, implement, and manage solutions that measurably improve our client’s organizational performance. We have established and foster a corporate culture where we:
Treat employees with fairness and respect regardless of their position, sexual identity, race, or tenure.Communicate the importance of our mission and our employees’ contributions to it, ensuring they understand how their job role contributes to the greater good.Openly promote and communicate our ideas for change and adaptability.Strive to achieve results as an organization.Hold employees accountable to their commitments and provide incentives that encourage positive and productive behaviors.Value the talents and contributions of our employees as the key factor for our success.Create an environment where people can engage at all levels.Encourage people to take risks and allow them to make mistakes.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities.
RefID: A01
Read LessNextGen is seeking a highly motivated and technically skilled MCP/Integration Engineer to support the development, integration, and deployment of mission-focused AI and operational integration capabilities across complex tactical and enterprise environments. This role will focus on building Model Context Protocol (MCP) services, integrating operational systems and mission platforms, and enabling secure communication between agentic AI workflows, hardware systems, sensors, databases, and command-and-control architectures using ReadiChat.
ReadiChat is a mission-focused, agentic AI platform designed to help organizations build, deploy, govern, and scale specialized AI agents for operational workflows. It combines AI agents, workflow orchestration, grounded knowledge, testing frameworks, and enterprise controls into a single collaborative workspace.
The ideal candidate will possess strong software engineering and systems integration experience with the ability to interface across tactical platforms, mission systems, AI-enabled applications, and operational data environments. This role requires close collaboration with engineers, operators, platform vendors, and government stakeholders to ensure seamless interoperability and mission effectiveness within evolving operational architectures such as NGC2.
ResponsibilitiesBuild and maintain MCP servers and integration services that expose operational applications, mission systems, device controls, sensor data, databases, file systems, and enterprise services to agentic AI workflows and operational applications.Support integrations with high-side and mission-relevant data environments, including operational repositories, analytics platforms, and mission databases such as Arsenal and other classified or restricted-access systems.Implement integrations for the X9 Spider Mission Computer architecture, including onboard compute environments, hardware interfaces, sensor integrations, communications systems, and mission-specific peripherals.Integrate operational AI and mission workflows with EMSCO, Lattice, AIDP, and related mission systems to support interoperability within the broader NGC2 architecture and operational ecosystem.Integrate agents with external command systems, reporting tools, operational platforms, and mission applications through MCP services, APIs, adapters, and middleware solutions.Implement secure tool interfaces with clearly defined schemas, permission boundaries, authentication controls, audit logging, input validation, error handling, and operational safeguards.Implement read/write separation and execution controls that allow agents to inspect system state, validate operational context, and safely execute authorized actions.Develop and execute automated integration and validation testing for MCP services and operational tool interfaces, including parameter validation, workflow testing, tool-call verification, failure-state testing, and operational edge-case evaluation.Support deployment, sustainment, troubleshooting, and optimization of MCP services and integration pipelines across cloud, edge, tactical, and disconnected operational environments.Collaborate with AI engineers, software developers, systems engineers, cybersecurity teams, and operational stakeholders to ensure integrations align with mission requirements, security constraints, and operational workflows.Train customer technical personnel on MCP service architecture, deployment workflows, testing methodologies, troubleshooting procedures, and safe extension of MCP-enabled capabilities within operational environments such as X9 Spider.Maintain technical documentation, interface control documents (ICDs), API references, deployment procedures, sample tool calls, configuration guides, and operational integration notes supporting customer sustainment and future enhancements.Support DevSecOps and CI/CD activities related to integration, testing, accreditation, and deployment of operational software and AI-enabled services.Required QualificationsBachelor’s degree in Computer Science, Software Engineering, Systems Engineering, Electrical Engineering, or related technical discipline.5+ years of experience in systems integration, software engineering, middleware development, or operational platform integration.Experience developing APIs, integration services, middleware, or microservice-based architectures using Python, Go, Java, C++, or similar programming languages.Experience integrating hardware systems, sensors, communications interfaces, or mission systems into operational or enterprise architectures.Familiarity with MCP concepts, AI orchestration frameworks, or agentic AI integration patterns.Experience with REST APIs, message brokers, service-oriented architectures, and distributed systems.Experience with Linux-based systems, containerized applications, and orchestration technologies such as Docker and Kubernetes.Understanding secure software development principles, access controls, logging, and cybersecurity best practices.Experience with troubleshooting and debugging across software, hardware, network, and operational environments.Strong written and verbal communication skills with the ability to work directly with technical and operational stakeholders.Strong analytical, troubleshooting, and problem-solving skills.Ability to communicate technical concepts effectively to both technical and non-technical stakeholders.Active Security Clearance is requiredDesired QualificationsExperience supporting tactical, airborne, edge-compute, or mission-command environments.Familiarity with X9 Spider Mission Computer architectures or similar mission platform integrations.Experience supporting NGC2, AIDP, Lattice, EMSCO, or similar defense/intelligence integration ecosystems.Experience with AI-enabled applications, agentic workflows, or operational decision-support systems.Familiarity with classified or high-side operational environments and secure data handling procedures.Experience with DevSecOps pipelines, automated testing, and CI/CD frameworks.
About NextGen:
NextGen Federal Systems is an innovative technology and professional services provider specializing in advanced software solutions and comprehensive mission and business support services. We work in close collaboration with our customers to truly understand their business and mission goals. Our approach is to design, build, implement, and manage solutions that measurably improve our client’s organizational performance. We have established and foster a corporate culture where we:
Treat employees with fairness and respect regardless of their position, sexual identity, race, or tenure.Communicate the importance of our mission and our employees’ contributions to it, ensuring they understand how their job role contributes to the greater good.Openly promote and communicate our ideas for change and adaptability.Strive to achieve results as an organization.Hold employees accountable to their commitments and provide incentives that encourage positive and productive behaviors.Value the talents and contributions of our employees as the key factor for our success.Create an environment where people can engage at all levels.Encourage people to take risks and allow them to make mistakes.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities.
RefID: A01
Read LessNextGen is seeking a highly motivated and technically skilled Application/Agentic AI Engineer to support the integration, and deployment of modern AI-enabled applications and agentic AI capabilities in support of mission objectives using ReadiChat.
ReadiChat is a mission-focused, agentic AI platform designed to help organizations build, deploy, govern, and scale specialized AI agents for operational workflows. It combines AI agents, workflow orchestration, grounded knowledge, testing frameworks, and enterprise controls into a single collaborative workspace.
The selected candidate will work across software engineering, AI/ML integration, workflow orchestration, and operational problem-solving to develop intelligent systems that improve decision-making, automation, and user interaction in complex environments. This role requires a blend of software engineering expertise, AI integration experience, systems thinking, and the ability to collaborate directly with operational users, engineers, and program stakeholders to translate mission requirements into scalable AI-enabled solutions.
ResponsibilitiesPartner with customer SMEs and operational stakeholders to translate mission workflows and operational requirements into agentic AI solutions, including intelligent agents, workflow specialists, guardrails, tools, and validation frameworks.Design, develop, and maintain agent definitions and configurations, including objectives, behavioral instructions, input/output contracts, safety policies, operational constraints, and tool utilization rules.Develop workflow-specific AI specialists and reusable agent patterns to support operational and enterprise use cases while maintaining clear functional boundaries and scalable architectures.Build and maintain comprehensive AI testing and evaluation suites, including gold-standard input/output validation, adversarial testing, guardrail validation, scope-boundary testing, tool-use validation, regression testing, and multi-turn conversational testing.Analyze failed, degraded, or stale agent test results to identify performance gaps, tune agent behavior, improve reliability, and document updates across agent versions and releases.Integrate AI agents, orchestration workflows, APIs, and supporting services into existing application and operational environments using modern software engineering and DevSecOps practices.Support the deployment, sustainment, troubleshooting, and optimization of AI-enabled applications and agentic workflows across cloud, edge, and hybrid environments.Train and mentor customer agent creators on Agent Builder workflows, publishing processes, testing methodologies, maintenance procedures, and operational best practices.Develop reusable templates, workflow examples, implementation guides, and best-practice documentation to enable scalable and consistent customer development of agentic AI solutions.Collaborate with cross-functional engineering, operations, cybersecurity, and product teams to ensure AI-enabled capabilities align with mission objectives, security requirements, and operational constraints.Contribute to continuous improvement efforts for AI-enabled applications, orchestration frameworks, testing methodologies, and software delivery pipelines. Required QualificationsBachelor’s degree in Computer Science, Software Engineering, Data Science, Information Systems, or related technical discipline.3+ years of experience in software engineering, application development, or AI/ML integration.Experience developing applications using Python, JavaScript, TypeScript, Java, or similar modern programming languages.Experience integrating APIs, microservices, and data services into enterprise or operational applications.Familiarity with Large Language Models (LLMs), prompt engineering, AI orchestration frameworks, or agentic AI concepts.Experience with cloud-native technologies and containerized environments such as Docker and Kubernetes.Understanding software development lifecycle (SDLC), DevSecOps, and CI/CD methodologies.Experience with Git-based version control and collaborative development workflows.Strong analytical, troubleshooting, and problem-solving skills.Ability to communicate technical concepts effectively to both technical and non-technical stakeholders.Active Security Clearance is requiredDesired QualificationsExperience with AI orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, CrewAI, AutoGen, or similar technologies.Familiarity with AI model deployment, inference optimization, and scalable AI architecture.Experience supporting government, defense, intelligence, or mission-focused environments.Experience with AWS, Azure, or Google Cloud AI services.Familiarity with cybersecurity best practices and secure software development.Experience developing operational workflows using AI agents, automation pipelines, or decision-support systems.About NextGen:
NextGen Federal Systems is an innovative technology and professional services provider specializing in advanced software solutions and comprehensive mission and business support services. We work in close collaboration with our customers to truly understand their business and mission goals. Our approach is to design, build, implement, and manage solutions that measurably improve our client’s organizational performance. We have established and foster a corporate culture where we:
Treat employees with fairness and respect regardless of their position, sexual identity, race, or tenure.Communicate the importance of our mission and our employees’ contributions to it, ensuring they understand how their job role contributes to the greater good.Openly promote and communicate our ideas for change and adaptability.Strive to achieve results as an organization.Hold employees accountable to their commitments and provide incentives that encourage positive and productive behaviors.Value the talents and contributions of our employees as the key factor for our success.Create an environment where people can engage at all levels.Encourage people to take risks and allow them to make mistakes.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities.
RefID: A01
Read LessNextGen Federal Systems, LLC is seeking a Software Engineer with experience in Systems Tool Kit (STK) to support the development and integration of mission analysis and modeling applications. These applications enable multi-domain analysis—including air, space, ground, and maritime systems—by leveraging physics-based modeling and simulation to assess system performance, coverage, communications, and operational effectiveness.
Responsibilities include software development, configuration, and execution; result interpretation; documentation; and modification and maintenance of tools and code. The selected candidate must be quick to learn, adaptable, and agile, interfacing directly with end-customers and customer leadership. The software engineer will provide a full range of systems and software engineering to support critical mission analyses.
ResponsibilitiesDevelop, customize, and maintain STK-based applications to support mission planning, analysis, and visualization Integrate STK (Engine, Components, or Desktop) with external tools, models, and data sources to enable end-to-end mission workflows Implement backend services using Python and support frontend interfaces as needed Analyze and interpret simulation results, providing actionable insights to engineering teams and stakeholders Support traceability between mission analysis outputs and system models, ensuring consistency across the digital engineering environment Support deployment and execution of applications in modern environments (e.g., containerized or cloud-based) Contribute to documentation, user guides, and technical deliverables Troubleshoot and enhance existing tools to improve performance, usability, and scalability
QualificationsBS or equivalent in Computer Science, Engineering, Mathematics, or equivalent technical degree5+ years’ prior work experience in the aerospace or defense industry, with demonstrated software development experienceExperience customizing or automating STK-based tools or applications highly desired (including STK, STK Engine, STK Components, and/or Cesium)Experience integrating tools via APIs (REST or similar) Proficiency in Python and experience with backend frameworks such as Flask is requiredStrong expertise in React JS for building modern and responsive user interfaces is highly desirableKnowledge of version control systems, preferably Git is highly desirableProven experience as a Full Stack Developer or similar role is highly desirableCapable of self-management and responsibly executing multiple tasks in accordance with priorities and deadlinesActive Top Secret (TS) clearance required (SCI eligibility preferred)
Preferred QualificationsExperience with STK Engine, STK Components, or Cesium Experience linking STK analyses to MBSE environments (e.g., parameter passing, trade studies, digital thread integration) Familiarity with digital engineering ecosystems, mission thread development, or model orchestration tools Experience with Docker, cloud environments, or DevSecOps practices Frontend development experience (e.g., React)
About NextGen:
NextGen Federal Systems is an innovative technology and professional services provider specializing in advanced software solutions and comprehensive mission and business support services. We work in close collaboration with our customers to truly understand their business and mission goals. Our approach is to design, build, implement, and manage solutions that measurably improve our client’s organizational performance. We have established and foster a corporate culture where we:
Treat employees with fairness and respect regardless of their position, sexual identity, race, or tenure.Communicate the importance of our mission and our employees’ contributions to it, ensuring they understand how their job role contributes to the greater good.Openly promote and communicate our ideas for change and adaptability.Strive to achieve results as an organization.Hold employees accountable to their commitments and provide incentives that encourage positive and productive behaviors.Value the talents and contributions of our employees as the key factor for our success.Create an environment where people can engage at all levels.Encourage people to take risks and allow them to make mistakes.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities.
Read LessNextGen Federal Systems, LLC is seeking a Software Engineer with experience in Systems Tool Kit (STK) to support the development and integration of mission analysis and modeling applications. These applications enable multi-domain analysis—including air, space, ground, and maritime systems—by leveraging physics-based modeling and simulation to assess system performance, coverage, communications, and operational effectiveness.
Responsibilities include software development, configuration, and execution; result interpretation; documentation; and modification and maintenance of tools and code. The selected candidate must be quick to learn, adaptable, and agile, interfacing directly with end-customers and customer leadership. The software engineer will provide a full range of systems and software engineering to support critical mission analyses.
ResponsibilitiesDevelop, customize, and maintain STK-based applications to support mission planning, analysis, and visualization Integrate STK (Engine, Components, or Desktop) with external tools, models, and data sources to enable end-to-end mission workflows Implement backend services using Python and support frontend interfaces as needed Analyze and interpret simulation results, providing actionable insights to engineering teams and stakeholders Support traceability between mission analysis outputs and system models, ensuring consistency across the digital engineering environment Support deployment and execution of applications in modern environments (e.g., containerized or cloud-based) Contribute to documentation, user guides, and technical deliverables Troubleshoot and enhance existing tools to improve performance, usability, and scalability
QualificationsBS or equivalent in Computer Science, Engineering, Mathematics, or equivalent technical degree5+ years’ prior work experience in the aerospace or defense industry, with demonstrated software development experienceExperience customizing or automating STK-based tools or applications highly desired (including STK, STK Engine, STK Components, and/or Cesium)Experience integrating tools via APIs (REST or similar) Proficiency in Python and experience with backend frameworks such as Flask is requiredStrong expertise in React JS for building modern and responsive user interfaces is highly desirableKnowledge of version control systems, preferably Git is highly desirableProven experience as a Full Stack Developer or similar role is highly desirableCapable of self-management and responsibly executing multiple tasks in accordance with priorities and deadlinesActive Top Secret (TS) clearance required (SCI eligibility preferred)
Preferred QualificationsExperience with STK Engine, STK Components, or Cesium Experience linking STK analyses to MBSE environments (e.g., parameter passing, trade studies, digital thread integration) Familiarity with digital engineering ecosystems, mission thread development, or model orchestration tools Experience with Docker, cloud environments, or DevSecOps practices Frontend development experience (e.g., React)
About NextGen:
NextGen Federal Systems is an innovative technology and professional services provider specializing in advanced software solutions and comprehensive mission and business support services. We work in close collaboration with our customers to truly understand their business and mission goals. Our approach is to design, build, implement, and manage solutions that measurably improve our client’s organizational performance. We have established and foster a corporate culture where we:
Treat employees with fairness and respect regardless of their position, sexual identity, race, or tenure.Communicate the importance of our mission and our employees’ contributions to it, ensuring they understand how their job role contributes to the greater good.Openly promote and communicate our ideas for change and adaptability.Strive to achieve results as an organization.Hold employees accountable to their commitments and provide incentives that encourage positive and productive behaviors.Value the talents and contributions of our employees as the key factor for our success.Create an environment where people can engage at all levels.Encourage people to take risks and allow them to make mistakes.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities.
Read Less