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Are you looking to Optimize your life? Start your exciting path to a rewarding career today! We are Optimum, a leader in the fast-paced world of connectivity, and we're seeking driven and enthusiastic professionals to join our team, empower lives, fuel businesses, and drive innovation. Connectivity is now longer a luxury, but a necessity. A career at Optimum means you'll be enabling progress and enhancing lives by providing reliable, high-speed connectivity solutions that keep the world connected. Our successes, now and in the future, are powered by our amazing product, a commitment to our people and culture, and the connections we make in our communities. If you are resourceful, collaborative, and passionate about delivering consistent excellence, Optimum is for you! Job Summary As a Senior SOC Engineer (AI & Automation), you will design, build, and operate the AI, automation, and detection-engineering capabilities that power our Security Operations Center. Bridging security operations and software engineering, you will develop AI-driven detection, triage, and response tooling, integrate large language model (LLM) and agentic workflows into analyst operations, and ensure those capabilities are accurate, safe, measurable, and continuously improved. As a senior member of the team, you will also serve as a technical leader during major security incidents, leading investigations and turning lessons learned into stronger detections, automations, and playbooks. Responsibilities • Design, build, and maintain AI/ML- and automation-driven capabilities for alert enrichment, correlation, summarization, triage, and prioritization. • Develop and maintain SOAR automations and detection-as-code pipelines that are version-controlled, tested, and peer-reviewed. • Integrate LLM and agentic AI tooling into SOC workflows (copilots, auto-triage agents); engineer prompts, guardrails, and evaluation harnesses. • Evaluate, benchmark, and tune AI models and tools for security use cases, measuring precision and recall, false-positive reduction, and impact on mean time to detect and respond (MTTD/MTTR). • Build data pipelines and feature engineering from security telemetry to support detection and machine-learning use cases. • Apply MLOps practices, including model versioning, monitoring, drift detection, and retraining, to security models running in production. • Ensure responsible and secure AI use, including data governance, prompt-injection and model-abuse defenses, privacy, and output validation. • Partner with detection engineers, SOC analysts, and incident responders to operationalize tooling and feed lessons learned back into models and automations. • Serve as a senior escalation point and incident commander for complex and major incidents, coordinating cross-functional response and directing technical workstreams. • Lead investigations and forensic analysis for escalated incidents and provide hands-on incident response support across on-premises and cloud environments. • Own post-incident reviews and root cause analyses, translating lessons learned into new detections, automations, and playbook improvements. • Develop, run, and mature incident-response playbooks and tabletop exercises (TTX) to validate and improve organizational readiness. • Define and report detection and incident-response metrics (e.g., MTTD, MTTR) to measure and continuously improve SOC effectiveness. • Mentor analysts and engineers, fostering a culture of continuous learning across AI-augmented and incident-response workflows, and promote an AI-first operating model across the SOC. Qualifications • Bachelor's degree in Computer Science, Engineering, or related field, or equivalent years of experience • 7+ years of combined experience across security operations, incident response, and software engineering • Hands-on incident response and digital forensics experience, including leading or coordinating response to complex and major incidents preffered • Strong programming skills (e.g., Python) and sound software-engineering practices, including version control, CI/CD, and automated testing • Hands-on experience building with AI/ML, including large language models, prompt engineering, retrieval-augmented generation (RAG), and/or agentic frameworks • Experience with SOAR/automation and detection engineering (detection-as-code) • Data engineering skills, including working with large security datasets, APIs, and pipelines • Working knowledge of SOC operations and the incident lifecycle, including the MITRE ATT&CK framework, the NIST incident response lifecycle (NIST SP 800-61), the Cyber Kill Chain, and SANS PICERL • Cloud security and cloud-platform experience • Awareness of AI and LLM security risks, such as prompt injection and the OWASP LLM Top 10 • Ability to translate fluently between security and engineering stakeholders. Preferred Qualifications • MLOps experience deploying and maintaining models in production • Relevant security and/or AI/ML certifications, including incident-response and forensics credentials (e.g., GCIH, GCFA, GCFE, GNFA) or CISSP/CISM At Optimum, every action and interaction we take part in, is driven by our three Guiding Principles: Do What's Right, Drive One Optimum, and Make It Happen. These aren't just words, they help us build trust, create real community, and embrace new ways of thinking. Our employees are empowered to do the right thing for our customers and co-workers and to recognize and reward these behaviors when we see them. It's all part of the bigger picture of "Be The Difference" where each employee knows they have the power to enact real change, share new ideas, and understand that learning never stops. If you have the drive to succeed and are ready to embark on a thrilling career, seize this opportunity today, and join our winning team. Together, we'll shape the future of connectivity. All job descriptions and required skills, qualifications and responsibilities for a particular position are subject to modification by the Company from time to time, in the Company's discretion based on business necessity. We are an Equal Opportunity Employer committed to recruiting, hiring and promoting qualified people of all backgrounds regardless of gender, race, color, creed, national origin, religion, age, marital status, pregnancy, physical or mental disability, sexual orientation, gender identity, military or veteran status, or any other basis protected by federal, state, or local law. The Company collects personal information about its applicants for employment that may include personal identifiers, professional or employment related information, photos, education information and/or protected classifications under federal and state law. This information is collected for employment purposes, including identification, work authorization, FCRA-compliant background screening, human resource administration and compliance with federal, state and local law. Applicants for employment with The Company will never be asked to provide money (even if reimbursable) as part of the job application or hiring process. Please review our Fraud FAQ for further details. Pay is competitive and based on a number of job-related factors, including skills and experience. The starting pay rate/range at time of hire for this position in the posted location is $100,246.00 - $164,689.00 / year. The rate/range provided herein is the anticipated pay at the time of hire, and does not reflect future job opportunity. We appreciate your interest in this opportunity. Applicants must be authorized to work for ANY employer in the U.S. Please note that at this time, we do not provide visa sponsorship for employment.

Job Description Job Description Job Title: Security Control Assessor Location: On Site in Arlington, VA Department: Cyber Security Services Reports To: Management FLSA Status: Full Time/Non-exempt Clearance: Top Secret clearance with the ability to obtain SCI with CI Polygraph Job Purpose: The security control assessor (SCAs) supports a critical, objective role to evaluate the effectiveness of implemented controls in mitigating security risks. The SCA will support a critical mission within the intelligence community. In the role as a SCA, you are expected to use automated scanning tools, manual techniques, and specialized testing methodologies to identify weaknesses and vulnerabilities. The SCA is expected to be a collaborative member of the RMF program of the organization, to provide intelligent input to system security architectures in order to align with RMF principles and guidelines. This includes ensuring to guide the RMF process so that security controls are integrated seamlessly into system designs to provide comprehensive protection against threats and vulnerabilities. Duties & Responsibilities: The SCA's specific duties include: Advise the Information System Owner (ISO) concerning the impact levels for Confidentiality, Integrity, and Availability for the information on systems. Ensure security assessments are completed for each IS. Initiate a POA&M with identified weaknesses and suspense dates for each IS based on findings and recommendations from the SAR. Evaluate security assessment documentation and provide written recommendations for security authorization to the CISO and AO. Assess proposed changes to Information Systems, their environment of operation, and mission needs that could affect system authorization. Serve as a cybersecurity technical advisor to the CISO and AO under their purview. Be integral to the development of the monitoring strategy. The system-level continuous monitoring strategy must conform to all applicable published DoD enterprise-level or DoD Component-level continuous monitoring strategies. Determine and document in the SAR a risk level for every noncompliant security control in the system baseline. Determine and document in the SAR an aggregate level of risk to the system and identify the key drivers for the assessment. The SCA's risk assessment considers threats, vulnerabilities, and potential impacts as well as existing and planned risk mitigation. Develop the continuous monitoring plan specific to the information system. The SCA is responsible for the RMF deliverables associated with Step 4 of DOD and IC RMF Policies for assigned systems. This includes, but is not limited to: Security Assessment Plans tailored to specific systems control requirements Security control assessment input, which includes narratives for the review of controls and artifacts Security Assessment Reports ATO recommendations or ATO with Condition Memorandums Conduct initial remediation actions once a security assessment has been completed to ensure proper hand off to the ISSM and ISSOs. Assessment of selected controls IAW continuous monitoring strategy The SCA is expected to have additional duties as assigned in support of corporate cyber security services. Additional details are reviewed in accordance with company policies. Requirements Required Skills & Experience: Strong knowledge of Risk Management Framework (RMF) 800-37 and continuous monitoring 800-137 Expert knowledge and hands-on experience with FISMA Systems, NIST 800-series guidelines, FIPS, Security Assessment & Authorization (SA&A) requirements and processes, Continuous Monitoring Framework experience and its tools, Plan of Action & Milestones (POA&M) policies, and vulnerability/patch management, risk management, project management, proficient with Microsoft products - Word, Excel, PowerPoint. Proficient with vulnerability and scanning tools and well-versed in interpreting risk posture resulting from assessment reports. Experience in project management and tracking, and the Microsoft suite of office products Experience of assessing cloud-based security authorizations (FedRamp, AWS & Azure) as well as the NIST control responsibilities Experience with SAP/JSIG Expert with documenting and or reviewing of security materials such as; system security plans (SSP), Security Assessment Report (SAR), and Security Assessment Plan (SAP), and other documents per NIST 800 guidelines. Experience supporting cloud-based security authorizations (FedRamp, AWS, & Azure) Experience creating Security Assessment Plans, Security Assessment Reports, and Executive-level briefings Qualifications: Bachelor's Degree in Computer Science or a related technical discipline Master's Degree preferred. Minimum 6-10 years of experience. Must currently possess an active Top Secret clearance with the ability to obtain SCI with CI Polygraph. DOD 8140 IAM Level II (CAP, CASP, CISM, CISSP, GSLC, CCISO) is required Systems Security Engineering background preferred. Effective communication skills to collaborate with cross-functional teams and stakeholders on implementing security measures organization-wide. Strong analytical skills for identifying system vulnerabilities and documenting control remediation recommendations through collaboration on System Impact Analysis and Documented Risk Acceptance. Detail-oriented with the ability to manage multiple tasks and prioritize effectively. Comprehensive knowledge of RMF activities at a senior level (ability to articulate to Executive audiences preferred). Familiarity with federal regulatory requirements, contractual obligations, and industry standards related to information security. Evaluate adherence to standards such as Privacy, GDPR, and HIPAA Powered by JazzHR I48iVzr4Ds

Job Description Job Description Company Description Big challenges need bold thinkers. If you're someone who sees problems as opportunities, you'll thrive here. RESPEC is 100% employee-owned , which means we take ownership of every challenge. Here, your ideas drive real solutions. Since 1969, we've tackled complex challenges in energy transition, infrastructure resilience, digital transformation, and sustainability. At RESPEC, you'll work alongside clients to take on critical problems . Depending on your expertise, you might design infrastructure in remote locations, develop renewable energy solutions for global projects, or apply data-driven technology to improve mining and water systems. We bring deep technical knowledge, real-world experience, and a commitment to work that matters. If you're looking for a place where your contributions have real impact, you'll fit right in. We do not accept unsolicited resumes from third-party recruiters. Job Description RESPEC is seeking a Configuration Manager to lead configuration management activities for complex enterprise engineering systems, software applications, hardware/software integrated environments, and Digital Thread modernization initiatives. This position establishes and administers Configuration Management Plans (CMPs), configuration baselines, change-control processes, traceability practices, release-management controls, and audit-ready documentation. The Configuration Manager works with engineering stakeholders, project managers, system architects, software developers, quality assurance personnel, cybersecurity personnel, business/process engineers, and operations and maintenance teams to ensure that approved changes are documented, reviewed, controlled, tested, released, and maintained in accordance with applicable requirements. The role supports disciplined configuration control across PLM, CAD, ALM, DevOps, and enterprise software environments. Hands-on software development or CAD drafting is not required. The successful candidate will demonstrate the ability to manage configuration management processes for complex enterprise applications and engineering environments. Key Responsibilities Establish, maintain, and execute Configuration Management Plans (CMPs) for enterprise engineering systems, software applications, integrations, interfaces, and related technical environments. Lead Change Control Boards (CCBs), including the preparation, coordination, tracking, documentation, and follow-up of proposed changes, decisions, approvals, and action items. Establish and maintain configuration baselines for software, hardware, engineering data, system documentation, interfaces, releases, and operational environments. Enforce traceability across software or hardware life cycles and maintain audit readiness for complex enterprise applications. Coordinate configuration management activities across PLM, CAD data-management, ALM, DevOps, software-development, quality assurance, systems integration, and operations and maintenance efforts. Review, document, track, and maintain records for configuration items, version histories, change requests, approvals, release packages, baseline updates, and configuration-status accounting. Support the planning and execution of software upgrades, system integrations, releases, deployments, cutovers, and post-deployment validation activities. Ensure configuration-controlled artifacts are appropriately identified, versioned, reviewed, approved, stored, and available to authorized stakeholders. Support release-management and deployment-readiness activities by confirming that changes have completed required review, testing, documentation, approval, and baseline-management processes. Work with quality assurance and test personnel to ensure that configuration changes are traceable to applicable requirements, test plans, test results, defects, and resolution records. Support the maintenance of configuration documentation, including CMPs, configuration-item inventories, baseline records, change logs, release records, CCB materials, and audit-support artifacts. Identify configuration-management risks, control gaps, documentation deficiencies, and process-improvement opportunities; communicate findings and support corrective actions. Coordinate with project managers and technical leads to align configuration-management activities with task-order schedules, milestones, deliverables, and implementation plans. Support governance and compliance activities in environments requiring formal change control, controlled releases, security awareness, and structured documentation. Assist with knowledge-transfer activities related to configuration-management procedures, configuration-control processes, change-management requirements, and release-management practices. Qualifications Required Qualifications & Experience Education & Years of Experience: Bachelor's degree in CS, Information Systems, Engineering, or a related field; 5-10 years (Senior) or 10-15 years (Principal) of dedicated Configuration Management experience. CM certifications (e.g., CMPIC, ITIL, NDIA) are a strong plus. Domain Exposure (Must meet AT LEAST ONE of the following): DOE / National Labs: Direct experience within the Department of Energy (DOE), NNSA, or National Laboratories (e.g., Sandia, Los Alamos, Lawrence Livermore, Oak Ridge, Idaho National Lab). Broader Federal / Defense / Aerospace: Experience within complex DoD branches (Army, Navy, Air Force, Space Force), NASA, DHS, DOT, or major defense prime contractors. Strictly Regulated Commercial Industries: Experience managing configuration in heavily audited, highly regulated sectors such as commercial nuclear power, medical devices (FDA-regulated), automotive (ISO 26262), semiconductor manufacturing, or commercial aviation (FAA-regulated). Technical/Tooling Context (Must meet AT LEAST ONE of the following): PTC Ecosystem: Experience supporting environments using PTC products (Windchill, PDMLink, CodeBeamer, Creo). Alternative Enterprise PLM / CAD Suites: Experience managing CM baselines for other major PLM or CAD data management platforms, such as Siemens Teamcenter, Dassault Systèmes (Enovia, 3DEXPERIENCE, SolidWorks PDM), Autodesk Fusion Lifecycle/Vault, or Aras Innovator. Enterprise Software / ALM / DevOps Pipelines: Experience establishing CM controls using mainstream Application Lifecycle Management (ALM) or DevOps toolchains, such as Azure DevOps, Jira/Confluence, Git, GitLab, Jenkins, ServiceNow, or IBM Rational/DOORS. Core Competency: Proven ability to lead Change Control Boards (CCBs), establish Configuration Management Plans (CMPs), enforce traceability across software or hardware life cycles, and maintain audit readiness for complex enterprise applications. Hands-on software development or CAD drafting is not required. Demonstrated ability to coordinate configuration-management activities across multiple technical teams, systems, interfaces, and controlled-release activities. Demonstrated ability to produce clear, complete, and accurate configuration-management documentation, change-control records, baseline records, and audit-support materials. Ability to communicate configuration-management requirements, status, risks, and decisions effectively to technical and non-technical stakeholders. Additional Information All your information will be kept confidential according to EEO guidelines. All your information will be kept confidential according to EEO guidelines.

Job Description Job Description Description: OCH Technologies is seeking an NCO Technical Lead responsible for leading the day-to-day operational cybersecurity and threat intelligence functions supporting the FAA's National Cybersecurity Operations mission. The lead will run the operational side: monitor threat intelligence feeds, coordinate incident response, analyze emerging threats against NAS infrastructure, and provide technical guidance to the broader cybersecurity team. This position supports a proposal effort and is contingent upon award, customer approval, and successful onboarding requirements. Location Hybrid - Air Traffic Control System Command Center (ATCSCC) Washington, DC OR Leesburg, VA This position has the potential to travel up to 20%. Core Responsibilities & Duties Provide day-to-day technical oversight, coordination, and guidance to contractor personnel performing operational cybersecurity and threat intelligence functions. Lead all activities supporting the National Cybersecurity Operations (NCO) mission including threat intelligence collection and analysis, threat hunting, and incident response coordination. Monitor and analyze cyber threat intelligence relevant to FAA and NAS systems. Produce actionable intelligence products that inform assessment priorities and defensive posture decisions. Coordinate incident response activities when potential security events are identified. Ensure response actions follow established procedures and are documented. Attend all Program Management Reviews with the Program Manager and report on NCO operational support activities, threat intelligence findings, deliverables, and technical issues. Maintain awareness of emerging cyber threats targeting critical infrastructure, aviation systems, and government networks. Brief FAA leadership on threat trends and recommended defensive actions. Collaborate with the Security Assessment Lead and Penetration Testing Lead to ensure assessment and testing priorities reflect the current threat landscape. Develop and maintain standard operating procedures for NCO functions including escalation criteria, reporting templates, and coordination protocols. Manage and oversee contractor staff performing NCO functions. Ensure personnel maintain required qualifications and training. Responsibilities may evolve over time to support team and organizational goals but will remain consistent with the overall scope of the role. Requirements: Minimum Qualifications Education Bachelor's degree in Cybersecurity, Computer Science, Information Technology, Engineering, Mathematics, or Physics from an accredited institution Experience At least fifteen (15)+ years of cybersecurity experience with at least 5 years of management and supervisory responsibility over operational cybersecurity, threat intelligence teams, or SOC/CIRT functions. At least 2 years of relevant experience must be recent (performed within the last 3 years). Demonstrated experience leading incident response and threat intelligence operations in a federal or critical infrastructure environment. Strong understanding of cyber threat intelligence frameworks (MITRE ATT&CK, Diamond Model, Cyber Kill Chain) and experience producing actionable intelligence products. Experience with SIEM platforms, threat intelligence platforms, and endpoint detection and response (EDR) tools. Knowledge of network defense monitoring, log analysis, and anomaly detection in complex, multi-segment network environments. Security Clearance Requirement Candidate must have the ability to obtain and maintain a Public Trust Active Secret clearance preferred Certifications Security certification such as CISSP, CISM, or CASP required GCIH (GIAC Certified Incident Handler) or GCTI (GIAC Cyber Threat Intelligence) strongly preferred GCFA, GNFA, or GCIA preferred for forensics/network analysis depth CND, CNDA, GDAT, GDSA, GCED, GCFA are directly relevant Preferred Qualifications Prior experience supporting FAA, DoD, or other critical infrastructure cybersecurity operations. Experience with aviation-specific cyber threats or operational technology (OT/ICS) threat analysis. Familiarity with FAA Security Operations Center (SOC) operations. Experience coordinating with federal threat intelligence sharing organizations (US-CERT, CISA, sector ISACs). Modern threat intelligence platforms (MISP, OpenCTI) for structured threat data management and sharing. SOAR platforms (Cortex XSOAR, Splunk SOAR, Tines) for automated incident response workflows and playbook execution. EDR/XDR tools (CrowdStrike Falcon, SentinelOne, Carbon Black) for endpoint-level detection and response in operational environments. AI/ML-based anomaly detection and threat hunting tools for identifying novel attack patterns across complex, multi-segment network environments. Attack surface management platforms for continuous external exposure monitoring of NAS-connected assets. Other Required Skills and Abilities Understanding of federal cybersecurity policy (FISMA, NIST CSF, CDM program) and how operational cybersecurity functions support broader agency security objectives. Strong written and verbal communication skills. Ability to brief senior leadership on threat landscape and operational status. About Us : At OCH, we are more than just a government contracting firm; we are innovators and leaders in providing cutting-edge IT services and cybersecurity solutions. Driven by a set of fundamental values, we excel in creating secure, efficient, and forward-thinking solutions that empower the government agencies we work with. Our commitment to maintaining the highest standards of integrity, adapting swiftly to new challenges, and focusing on the people we serve ensures that we consistently exceed expectations and lead the industry in innovation and reliability. What Defines Us: Integrity - We act with unwavering honesty, ensuring every decision is rooted ethically. Adaptable - We swiftly adapt to changes, seizing opportunities to innovate and lead. People-Focused - We prioritize relationships, championing growth and mutual success. Accountable - We own our outcomes, striving for excellence through continuous improvement. Collaborative - We cultivate teamwork, harnessing diverse talents to forge groundbreaking solutions. Why Join Us? Step into a role at OCH where your contributions make a tangible impact. Join a team that values creativity and initiative, offering a platform to transform the landscape of government IT services. Here, your work is not just a career-it's a mission. Embrace the opportunity to grow, innovate, and excel alongside industry leaders who are as passionate about technology as they are about making a difference. Plus, we offer a comprehensive benefits package designed to support your wellbeing and work-life balance, including: Paid time off and Holidays Medical, Dental, and Vision Insurance Paid Parental Leave Short-term disability, long-term disability, and life insurance - Employer Paid! 401(k) Additional Voluntary Life Insurance Tuition Reimbursement & More! E-Verify Participation: OCH Technologies, LLC is a participant of E-Verify to verify the identity and employment eligibility of newly hired employees. Veteran's Preference and Accessibility Statement : At OCH Technologies, we deeply respect and appreciate the unique skills and experiences that veterans bring to our team. As a federal contractor, we encourage qualified veterans to apply and provide preference where permitted by law. Your service and dedication are valued here. We are committed to creating a workplace that is open, welcoming, and accessible to everyone. In accordance with the Americans with Disabilities Act (ADA) and Section 503 of the Rehabilitation Act, we provide reasonable accommodations throughout the hiring process to ensure individuals with disabilities can apply without barriers. If you need assistance or an accommodation, please contact us at . OCH Technologies, LLC is proud to be an equal opportunity employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, disability, gender identity, or any other protected characteristic as outlined by federal, state, or local laws.

Job Description Job Description Overview Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose. We've been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries, dive into important world-changing Federal challenges. Position Summary Credence has an immediate need for a Senior AI Technical Lead to join our growing AI and Automation practice. In this role, you will design and lead the development of cutting-edge AI solutions that drive real-world impact across federal programs. You will guide cross-functional teams, shape technical strategy, and mentor engineers in a fast-paced, mission-driven environment. The ideal candidate is a hands-on leader with a strong background in AI/ML development, cloud platforms, and enterprise-scale systems design. Responsibilities include, but are not limited to: Lead the design, development, and deployment of scalable AI and ML models and systems Translate business requirements into technical solutions across multiple federal missions Oversee the AI/ML development lifecycle, including architecture design, experimentation, and performance optimization Collaborate with cross-functional teams (DevOps, Data Engineering, Cybersecurity) to integrate AI into production environments Provide technical mentorship and conduct code/design reviews for junior and mid-level engineers Research and evaluate emerging AI/ML tools, technologies, and frameworks to drive innovation Ensure all solutions meet federal security, compliance, and cloud architecture standards Requirements Master's degree in AI, Machine Learning, or a related field Minimum of 5+ years of hands-on experience in AI/ML solution development Demonstrated experience leading AI/ML initiatives or technical teams Strong understanding of agentic AI including Transformers, Model Context Protocol, Agent2Agent Protocol, LangGraph, and other modern frameworks. Proficiency in Python and Typescript for application development and advanced scripting, Experience deploying AI solutions in AWS, Azure, or GCP environments Familiarity withCI/CD, containerization (Docker, Kubernetes), and DevOps principles Experience with Agile methodologies and tools (e.g., Git, Jira) Must be a U.S. Citizen and eligible to obtain a DoD Secret clearance Preferred Qualifications Strong understanding of data engineering and data modeling concepts Experience with data visualization tools such as Power BI or Tableau Knowledge of cybersecurity principles, Zero Trust Architecture, RMF and FedRAMP compliance Prior experience with federal or public sector digital modernization projects Familiarity with Lean Six Sigma, ITIL, or service-oriented architecture (SOA) frameworks Salary Range: $185,000 - $215,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Paid Time Off (Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Training & Development

Job Description Job Description ZERO TRUST PROJECT LEAD POSITION DESCRIPTION General Description Zermount Inc. is seeking a Zero Trust (ZT) Technical Project Lead with demonstrated experience in providing enterprise support services while leveraging industry-standard service management best practices. We are looking for a team lead that is able to withstand even the most complex environments for our ZT enterprise initiative. The Project Lead will lead, plan, and manage Information Technology (IT) projects as well as provide leadership and guiding technical staff. They will integrate business and technical aspects of projects that are a part of the implementation of ZT principles across all pillars of ZT (identity, device, network, application and workload and data) to assist the client in meeting the requirements set forth by EO 14028 and OMB M 22-09. The Project Lead will also assess business implications, monitor progress in meeting deadlines, standards, and customer cost targets. They will establish goals and plans that meet project objectives and have expert technical knowledge. In addition, they will direct and control activities for a client, having overall responsibility for financial management, methods, and staffing to ensure all technical requirements are met. This position also includes client reporting and interfacing with senior management to communicate a program's progress and achievements. Decision-making and domain knowledge may have a critical impact on project implementation. The Project Lead will supervise others. Duties & Responsibilities: The ZT Project Lead will lead the Zermount ZT Team to ensure we are designing and implementing solutions and services that secure federal networks and provide leadership required to meet the objectives of EO 14028 and other Federal requirements. Additionally, the ZT Project Lead will provide support and services to include: Analyze, plan, and develop scheduled project plans. Responsible for program Integrated Master Scheduler (IMS) updates, health, and accuracy. Responsible for quality management and control. Provide SME support and technical guidance to information system stakeholders on the implementation of ZTA requirements and participate in design reviews upon request. Ensure alignment of the ZTA program to organizational strategies and deliver anticipated benefits of ZT as outlined in EO 14028, the CISA ZT Maturity Model, and the NIST SP 800-207. Creating month status reports (progression week 1 through week 4 buildup). Perform risk management to include: (1) managing risk across the ZTA program as the landscape evolves; and (2) integrating ZTA into the existing TSA and DHS Cybersecurity Risk Management framework and CISA's ZT maturity model with the goal of the solution reaching the optimal state of maturity. Draft Program Management Report (PMR). Responsible for streamlining and automating enterprise-level performance reporting for all components within ZT, aligned with existing and planned reporting and analytics structures and tools, such as the Continuous Diagnostics and Mitigation (CDM) dashboards, FISMA reporting, and Information Security Continuous Monitoring (ISCM) dashboards Establishing and implementing training processes for all technical personnel. Assisting the TSA in its ultimate goal of meeting or exceeding the "managed and measurable" IG CIGIE FISMA maturity metrics as amended, for all applicable security functions for ZT. Develop, implement, and maintain enterprise-wide performance metrics and measures for the ZT initiative Determine and define clear deliverables, roles, and responsibilities for all resources. Create performance measures for all resources. Managing, updating and maintaining all ZTA program governance documents including but not limited to the ZTA roadmap; which articulates the programs vision, scope, and direction Responsible for development of all management artifacts (PMP, IMP, CP, RMP, QAP, etc.). Ensure program integration and operational processes and procedures. Establishing and maintaining relationships among all stakeholders. Design Dashboard/Briefings to measure program performance, schedule, etc. Responsible for mapping ZTA capabilities outlined throughout this PWS, existing capabilities within the department, and new capabilities the Contractor recommends be added to the Pillars of Zero Trust (currently 5 Pillars) as outlined by CISA, M-21-31, M-22-01, M-22-09, EO 14028, NIST 800-207, and any future memoranda, executive orders, and standards. The Contractor must also map new ZTA capabilities that the Government approves Mentor Team Leads Review and ensure all deliverables are submitted in accordance with the SOW and in a timely manner. Cross task area support as required. Qualifications: A minimum of 10 years of IT cybersecurity management experience including 3 years of direct support for the US Government OR a relevant Bachelor's degree in IT, computer science, business or engineering and 10+ years of IT cybersecurity management experience including 3 years of direct support for the US Government. Experience communicating effectively, both oral and written, with technical, non-technical, and executive-level customers. Understanding and experience with Agile Principles, processes and methodologies. Knowledge of EO 14028, OMB M 22-09, Federal, DoD, and CISA Zero Trust Architecture, Maturity Model, and Technical Reference Architectures. Excellent communication, collaboration, and problem-solving skills. Ability to work independently and as part of a team. Demonstrated ability to effectively engage and manage relationships with highly political clients while maintaining a professional demeanor, exhibiting patience, and navigating sensitive situations with tact. Ability to navigate complex and politically sensitive client environments with professionalism, patience, and tact. Zero Trust Specific Qualifications: System Maturity Model Expertise in the implementation, strategy, roadmap, and analysis with regard to TSA systems and the TSA Enterprise and meet the requirements outlined in M-21-31, M-22-09, EO 14028, and NIST SP 800-207. Working experience associated with implementing all of the Zero Trust requirements based off of the CISA Zero Trust Maturity Model 2.0 and any upcoming versions. SME level knowledge within at least one of the five Zero Trust Maturity Model pillars as defined by the CISA Maturity Model. Possess a deep understanding and proficiency in the principles, technologies, and best practices associated with the pillars. Provide strategic guidance and expertise in implementing Zero Trust within their assigned pillar, ensuring alignment with industry standards and organizational objectives. Deep understanding of the criteria needed to meet the Federal Governments intended, optimal, maturity level. Ability to develop a Zero Trust Maturity Roadmap to achieve optimal maturity level. Education: Minimum of a Bachelor of Science (or higher) in one of the following: computer engineering, computer science, IT, cyber security, or a related field. Relevant years of experience may be used in substitution for situations where the candidate does not have a Bachelor's degree in the required field. Clearance level: Minimum of an active Secret Clearance. Work Location: Hybrid - Primarily Remote. Required onsite work at the client location in Springfield, VA and Zermount HQ in Arlington, VA., will be occasionally required. Hours of Operation: Business Hours: 8:00 am EST - 4:30 pm EST.

Job Description Job Description Description: Job Title: Security Control Assessor Location: On Site in Arlington, VA Department: Cyber Security Services Reports To: Management FLSA Status: Full Time/Non-exempt Job Purpose: The security control assessor (SCAs) supports a critical, objective role to evaluate the effectiveness of implemented controls in mitigating security risks. The SCA will support a critical mission within the intelligence community. In the role as a SCA, you are expected to use automated scanning tools, manual techniques, and specialized testing methodologies to identify weaknesses and vulnerabilities. The SCA is expected to be a collaborative member of the RMF program of the organization, to provide intelligent input to system security architectures in order to align with RMF principles and guidelines. This includes ensuring to guide the RMF process so that security controls are integrated seamlessly into system designs to provide comprehensive protection against threats and vulnerabilities. Duties & Responsibilities: The SCA's specific duties include: Advise the Information System Owner (ISO) concerning the impact levels for Confidentiality, Integrity, and Availability for the information on systems. Ensure security assessments are completed for each IS. Initiate a POA&M with identified weaknesses and suspense dates for each IS based on findings and recommendations from the SAR. Evaluate security assessment documentation and provide written recommendations for security authorization to the CISO and AO. Assess proposed changes to Information Systems, their environment of operation, and mission needs that could affect system authorization. Serve as a cybersecurity technical advisor to the CISO and AO under their purview. Be integral to the development of the monitoring strategy. The system-level continuous monitoring strategy must conform to all applicable published DoD enterprise-level or DoD Component-level continuous monitoring strategies. Determine and document in the SAR a risk level for every noncompliant security control in the system baseline. Determine and document in the SAR an aggregate level of risk to the system and identify the key drivers for the assessment. The SCA's risk assessment considers threats, vulnerabilities, and potential impacts as well as existing and planned risk mitigation. Develop the continuous monitoring plan specific to the information system. The SCA is responsible for the RMF deliverables associated with Step 4 of DOD and IC RMF Policies for assigned systems. This includes, but is not limited to: Security Assessment Plans tailored to specific systems control requirements Security control assessment input, which includes narratives for the review of controls and artifacts Security Assessment Reports ATO recommendations or ATO with Condition Memorandums Conduct initial remediation actions once a security assessment has been completed to ensure proper hand off to the ISSM and ISSOs. Assessment of selected controls IAW continuous monitoring strategy The SCA is expected to have additional duties as assigned in support of corporate cyber security services. Additional details are reviewed in accordance with company policies. Requirements: Required Skills & Experience: Strong knowledge of Risk Management Framework (RMF) 800-37 and continuous monitoring 800-137 Expert knowledge and hands-on experience with FISMA Systems, NIST 800-series guidelines, FIPS, Security Assessment & Authorization (SA&A) requirements and processes, Continuous Monitoring Framework experience and its tools, Plan of Action & Milestones (POA&M) policies, and vulnerability/patch management, risk management, project management, proficient with Microsoft products - Word, Excel, PowerPoint. Proficient with vulnerability and scanning tools and well-versed in interpreting risk posture resulting from assessment reports. Experience in project management and tracking, and the Microsoft suite of office products Experience of assessing cloud-based security authorizations (FedRamp, AWS & Azure) as well as the NIST control responsibilities Experience with SAP/JSIG Expert with documenting and or reviewing of security materials such as; system security plans (SSP), Security Assessment Report (SAR), and Security Assessment Plan (SAP), and other documents per NIST 800 guidelines. Experience supporting cloud-based security authorizations (FedRamp, AWS, & Azure) Experience creating Security Assessment Plans, Security Assessment Reports, and Executive-level briefings Qualifications: Bachelor's Degree in Computer Science or a related technical discipline Master's Degree preferred. Minimum 6-10 years of experience. Must currently possess an active TS/SCI with the ability to obtain and maintain a CI polygraph. DOD 8140 IAM Level II (CAP, CASP, CISM, CISSP, GSLC, CCISO) is required Systems Security Engineering background preferred. Effective communication skills to collaborate with cross-functional teams and stakeholders on implementing security measures organization-wide. Strong analytical skills for identifying system vulnerabilities and documenting control remediation recommendations through collaboration on System Impact Analysis and Documented Risk Acceptance. Detail-oriented with the ability to manage multiple tasks and prioritize effectively. Comprehensive knowledge of RMF activities at a senior level (ability to articulate to Executive audiences preferred). Familiarity with federal regulatory requirements, contractual obligations, and industry standards related to information security. Evaluate adherence to standards such as Privacy, GDPR, and HIPAA Other: This is typical office or administrative work, and there is no exposure to adverse environmental conditions. This position requires sedentary work. Sedentary work is defined as: Exerting up to 10 pounds of force occasionally and/or a negligible amount of force frequently or constantly to lift, carry, push, pull or otherwise move objects, including the human body. Sedentary work involves sitting most of the time. Jobs are sedentary if walking and standing are required only occasionally, and all other sedentary criteria are met.

Job Description Job Description Overview WORK ENVIRONMENT The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of the job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. Location: On-site, DISA Headquarters, 6914 Cooper Ave, Fort Meade, MD 20755 Type of environment: Office - on-site at a Government facility (classified environment) Noise level: Low to Medium Work schedule: Day shift Monday - Friday. May be requested to work evenings and weekends to meet program and contract needs. Amount of Travel: Less than 10%. Occasional travel within the National Capital Region and to up to four (4) conferences per year. WORK AUTHORIZATION/SECURITY CLEARANCE U.S. Citizen Secret Clearance PHYSICAL DEMANDS The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to use hands to handle, feel, touch; reach with hands and arms; talk and hear. The employee is regularly required to stand; walk; sit; climb or balance; and stoop, kneel, crouch, or crawl. The employee is regularly required to lift up to 10 pounds. The employee is frequently required to lift up to 25 pounds; and up to 50 pounds. The vision requirements include close vision, distance vision, peripheral vision, depth perception, and ability to adjust focus. WAGE INFORMATION Target salary range: $100,000 - $16,000.00/yr. The salary range displayed is an estimate only and is not a guarantee of compensation or salary and will be determined on several factors regarding the individual's particular combination of education, knowledge, skills, competencies and experience, as well as contract parameters and organizational requirements. The displayed salary is one component of the total compensation package for employees. OTHER INFORMATION Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice. TekSynap is a drug-free workplace. We reserve the right to conduct drug testing in accordance with federal, state, and local laws. All employees and candidates may be subject to drug screening if deemed necessary to ensure a safe and compliant working environment. Many positions require specific certifications and/or the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. Applicants who accept an offer of employment may be subject to investigations performed by TekSynap and/or the Government to verify the candidate meets the required qualifications and other eligibility requirements. Responsibilities We are seeking a PKI Subject Matter Expert - Cryptographic Modernization (PQC, Algorithm Evolution & NPE) - Key Personnel to join our team supporting the DISA PKI Public Key Enablement (PKE) Engineering Support Task Order (SETI Small Business) in Fort Meade, Maryland. REQUIRED QUALIFICATIONS Ten (10) or more years of hands-on PKI, cryptographic engineering, or cryptographic infrastructure experience, including at least five (5) years in DoD or federal high-security environments. Hands-on, low-level technical proficiency in cryptographic infrastructure and system integration within high-security environments, with demonstrated capability to engineer solutions for complex hardware and legacy software integrations. Demonstrated understanding of the mathematics, protocols, and hardware that drive public key cryptography. Practical, demonstrable knowledge of NIST post-quantum standards (FIPS 203 ML-KEM, FIPS 204 ML-DSA, FIPS 205 SLH-DSA) and the engineering steps to migrate production systems to quantum-safe states. Expertise automating certificate lifecycles for Non-Person Entities (routers, firewalls, microservices, Kubernetes) using automated certificate management protocols (ACME, EST). Hands-on experience with Hardware Security Modules (Entrust, Thales, SafeNet), key ceremonies, and HSM lifecycle or refresh activities. Experience with Certificate Authority platforms, preferably Red Hat Certificate System, including CA stand-up, configuration, and certificate profile management across classified and unclassified domains. Working knowledge of DoD PKI policy, DoDI 8520.02, STIG application, and the DoD PKI Authority to Operate (ATO) accreditation process. Familiarity with the DoD PKE custom tool suite (e.g., InstallRoot, FileSigner, CRL Auto Cache, PITT) and software development in C++, C#, Java, Python, or Rust is strongly preferred. Certifications Certification: DoD 8140 Cyber Workforce Qualification Program, IAT Level II, IAT Level III, IAM III or equivalent, required at time of assignment Education Education: Bachelor's degree in Computer Science, Cybersecurity, Mathematics, Engineering, or a related field. Master's degree preferred; equivalent demonstrated technical experience may be considered. Clearance Clearance: Active Secret clearance required. Must be onboard at the start of the Period of Performance. RESPONSIBILITIES Serve as the senior technical and cryptographic authority, the technical trust anchor for implementation, for algorithm evolution and Post-Quantum Cryptography across the DoD PKI Portfolio. Recommend approaches that steer the PKI program away from legacy, vulnerable cryptographic implementations. Develop and execute the plan to migrate DoD PKI to stronger cryptographic algorithms in accordance with NIST SP 800-131A Rev3 and the CNSA 2.0 PQC timeline, addressing encryption, digital signing, key agreement, key derivation, key wrapping, key transport, hash functions, and message authentication codes. Apply practical knowledge of NIST-standardized quantum-resistant algorithms, including ML-KEM and ML-DSA, and define the engineering steps required to transition existing systems to quantum-safe states. Maintain cryptographic agility across the portfolio in response to evolving NIST standards and Executive Order 14412, so algorithm changes are absorbed by configuration and re-test rather than re-architecture. Coordinate with COTS vendors (approximately 15 in the current ecosystem) to test feasibility and assess the timeliness of product transition plans; maintain the vendor tracking report and raise capability gaps to the coordination cell and Component CIOs. Develop and deploy PKE lab environments supporting Algorithm Evolution and PQC integration testing; document and report results to DoD working groups including the Certificate Validation Tiger Team. Evaluate HSM platforms for PQC readiness; HSM hardware refresh is within contract scope and the current environment uses Entrust HSMs. Provide Non-Person Entity (NPE) certificate management expertise, automating certificate lifecycles for routers, firewalls, microservices, and Kubernetes clusters using automated certificate management protocols such as EST and ACME. Support Certificate Authority Development, including CA architecture analysis, deficiency identification, Analysis of Alternatives development, and CA deployment across 42 NIPRNet and 31 SIPRNet Red Hat Certificate Authorities supporting approximately 10,000 certificate issuances per day. Provide input to CA deployment plans and develop and document Change Requests to modify software and hardware configurations, submitted through the PKI Configuration Management process and Remedy. Provide Tier III technical support for the most complex cryptographic and infrastructure issues, and review and update PKE enablement documentation as cryptographic changes are released. Qualifications TekSynap is a fast growing high-tech company that understands both the pace of technology today and the need to have a comprehensive well planned information management environment. "Technology moving at the speed of thought" embodies these principles - the need to nimbly utilize the best that information technology offers to meet the business needs of our Federal Government customers. Apply now to explore jobs with us at . We offer our full-time employees a competitive benefits package to include health, dental, vision, 401K, life insurance, short-term and long-term disability plans, vacation time and holidays. TekSynap is a drug-free workplace. We reserve the right to conduct drug testing in accordance with federal, state, and local laws. All employees and candidates may be subject to drug screening if deemed necessary to ensure a safe and compliant working environment. By applying to a role at TekSynap you are providing consent to receive text messages regarding your interview and employment status. If at any time you would like to opt out of text messaging, respond "STOP". As part of the application process, you agree that TekSynap Corporation may retain and use your name, e-mail, and contact information for purposes related to employment consideration. EQUAL EMPLOYMENT OPPORTUNITY . click apply for full job details

Job Description Job Description Company Description About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . on LinkedIn, Facebook, Instagram, X and YouTube. Job Description We are building a team that develops AI agents to solve hard security problems and you will be tackling the hardest ones. This is a hands-on, senior IC role. You will architect, build, and ship agentic AI systems that operate autonomously within security environments, while also driving the technical direction and standards for how these systems are built, tested, and secured. This is not a management role and not a pure research role. You will write code, ship systems, and get your hands dirty but you will be working on problems where there is no playbook yet. You will define the approach, build the proof of concept, harden it for production, and write the technical guidance others follow. Responsibilities: Architect and build AI agent systems for security operations autonomous detection, investigation, response, threat hunting, vulnerability analysis, and risk assessment Tackle the novel, high-complexity problems: adversarial robustness of agent systems, secure agent-to-agent communication, guardrails for autonomous decision-making in high-stakes security contexts Develop frameworks, tooling, and patterns for building secure and reliable agentic AI systems then use them yourself Conduct original research and experimentation on agentic AI applied to offensive and defensive security, translating findings into working code Build proof-of-concept exploits and adversarial tests against agentic AI systems to identify failure modes and inform defensive design Develop and publish technical guidance and policy for agentic AI security grounded in systems you have built and broken Independently author security position papers on emerging technologies strategic, high-level documents that frame organizational thinking on new threat domains and drive downstream policy and technical guidance Serve as a subject matter expert and key driver of the AI Cybersecurity Maturity program, spanning application security, training, AI controls and infrastructure, AI discovery and inventory, operations and incident response, and policy and procedure development Integrate LLMs, custom models, and security tooling (SIEM, EDR, SOAR, cloud platforms, vulnerability scanners) into agent architectures Evaluate and adopt emerging AI capabilities (new models, frameworks, techniques) and determine their applicability to security problems Set technical direction for agent development practices, including evaluation frameworks, testing methodologies, and deployment patterns Mentor and elevate other engineers on the team through code review, design guidance, and technical leadership Qualifications Required: Bachelor's Degree with 9 years' experience; Master's Degree with 8 years' experience; PhD with 4 years' experience. Respective years of experience in cybersecurity, security engineering, or security research with substantial hands-on technical depth Strong software engineering skills you ship production systems, not just prototypes. Python required; additional languages a plus Deep expertise in at least two of: security operations, application security, threat intelligence, vulnerability research, detection engineering, offensive security, cloud security Demonstrated experience building AI agents and AI/ML-powered security tools or automation that operated at scale Hands-on experience with agentic coding tools (e.g., Claude Code, Cursor, GitHub Copilot, Aider, or similar) as part of your daily development workflow you build with agents, not just build agents Track record of original technical work published research, open-source tooling, conference presentations, or equivalent evidence of independent technical contribution Ability to work at the intersection of security and AI: you understand both the security implications of AI systems and how to apply AI to security problems Experience developing technical standards, frameworks, or guidance that others adopted Strong written and verbal communication you can explain complex technical concepts to both engineers and senior leadership, and you can write strategically about emerging technology risks at a level that shapes organizational direction Preferred: Experience with agent orchestration and autonomous systems (custom frameworks, LangChain, AutoGen, MCP, or similar) Background in adversarial ML, AI red teaming, or AI safety Familiarity with security compliance frameworks (NIST, ISO 27001, SOX) and how they apply to AI systems Published work (Black Hat, DEF CON, OWASP, academic journals, or equivalent venues) Experience in regulated industries (financial services, healthcare, critical infrastructure, government/defense) Contributions to open-source security projects OWASP, MITRE ATT&CK, or similar framework expertise applied in production environments Security clearance eligibility (not required) Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. This job is eligible to participate in our long-term incentive programs. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company's sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit -us/equal-employment-opportunity-employer.html US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more: -us/reasonable- accommodations.html

Job Description Job Description About Agile Defense At Agile Defense we know that action defines the outcome and new challenges require new solutions. That's why we always look to the future and embrace change with an unmovable spirit and the courage to build for what comes next. Our vision is to bring adaptive innovation to support our nation's most important missions through the seamless integration of advanced technologies, elite minds, and unparalleled agility-leveraging a foundation of speed, flexibility, and ingenuity to strengthen and protect our nation's vital interests. Requisition #: 1853 Job Title: Network Security Engineer Location: Suitland, MD Clearance Level: Public Trust Job Description Agile Defense is seeking a Senior Network Security Engineer to support the agency as it moves away from its legacy ForeScout CounterACT NAC/NAM system and adopts Cisco Identity Services Engine (ISE) as the new access control platform. The engineer will help configure and manage Cisco ISE across the environment, handling AAA services, wired and wireless 802.1X authentication, device administration, and posture checks for users and devices. This role also supports the agency's modernization work by improving authentication processes, updating ISE policies, and strengthening identity-based access controls. The engineer will troubleshoot access issues, refine policy designs, and help ensure users and devices can connect securely and reliably as the organization completes its transition from ForeScout to Cisco ISE. Troubleshoot and resolve Cisco ISE issues across RADIUS, TACACS+, 802.1X, device administration, and endpoint authentication. Deploy, configure, and maintain Cisco ISE running on two clustered Cisco SNS 3715 appliances, ensuring high availability and consistent policy enforcement. Support the agency's migration from ForeScout CounterACT to Cisco ISE, including reviewing legacy ForeScout policies, device groups, and access rules and mapping them into ISE policy sets. Provide general wireless support, including basic troubleshooting, wireless access workflows, and coordination with wireless infrastructure teams. Configure and support Cisco ISE integrations with Cisco 9800 WLCs, including guest/registration portals, wireless onboarding, and policy driven access control. Integrate and maintain Cisco ISE with Active Directory (AD) and LDAP, including identity lookups, group based authorization, and directory based authentication workflows. Deploy, configure, and maintain Cisco ISE components, including: o Policy Sets, Authorization Profiles, and Authentication Rules o TACACS+ device administration o 802.1X for wired and wireless networks o Profiling, posture, and compliance policies o Certificate based authentication and PKI integrations Monitor security events using ISE logs, syslog, and performing root cause analysis for authentication and access issues. Manage identity integrations, enforce security policies, and tune configurations to support Zero Trust and improve user experience. Perform routine health checks, upgrades, migrations, and document changes through SOPs, engineering designs, and implementation procedures. Work closely with engineering, operations, and compliance teams while mentoring junior staff and contributing to knowledge sharing efforts. Education and Background Bachelor's degree in Information Technology, Cybersecurity, or a related field. Years of Experience Eight (8) years of experience in a large government organization with five (5) years in technical leadership, including four (4) years implementing and troubleshooting Cisco ISE. Four (4) years of experience supporting identity centric or Zero Trust architectures with strong knowledge of segmentation, certificate management, and endpoint posture controls. Required Skills Senior Network Security Engineer responsible for designing, configuring, monitoring, and troubleshooting Cisco ISE as a NAC/NAM platform, including TACACS+/RADIUS services, device administration policies, and wired/wireless 802.1X authentication. Eight (8) years of experience in a large government organization with five (5) years in technical leadership, including four (4) years implementing and troubleshooting Cisco ISE with expertise in: o Authentication and authorization policies (RADIUS/TACACS+) o 802.1X/EAP methods for wireless and wired access o Device profiling, posture checks, and endpoint compliance o Certificate based authentication (EAP TLS) and PKI integration o AAA integrations for switches, appliances, firewalls, and wireless controllers Experience working with Cisco ISE deployed on Cisco SNS 3715 appliances, preferably in a two node clustered, high availability setup. Understanding of ForeScout CounterACT, including legacy NAC/NAM policies, device classification, and access workflows, to support the migration to Cisco ISE Experience providing general wireless network support, including basic troubleshooting, controller interactions, and wireless access workflows. Hands on experience integrating Cisco ISE with Active Directory (AD) and LDAP, including identity lookups, group based policy decisions, and directory based authentication. Experience supporting Cisco ISE integrations with Cisco 9800 Wireless LAN Controllers, including guest/registration page redirection and wireless onboarding. Experience migrating legacy NAC, RADIUS, or device authentication systems into Cisco ISE while aligning with Zero Trust principles. Solid understanding of telecommunications, network security, and Zero Trust best practices. Strong communication skills with the ability to explain Cisco ISE, NAC/NAM, and AAA concepts to both technical and non technical audiences. Preferred Skills Preferred certifications: Cisco CCNP Security, Cisco ISE Specialist, or similar identity/security certifications. Working Conditions On-site 5 days a week in Suitland, Maryland In addition, Agile Defense invests in its employees beyond just compensation. Agile's benefits offerings include, dependent upon position, Health Insurance, Life Insurance, Paid Time Off, Holiday Pay, short-term and long-term Disability, Retirement and Learning and Development opportunities as well as other optional benefit elections. Our Core Values Employees of Agile Defense are our number one priority, and the importance we place on our culture here is fundamental. Our culture is alive and evolving, but it always stays true to its roots. Here, you are valued as a family member, and we believe that we can accomplish great things together. Agile Defense has been highly successful in the past few years due to our employees and the culture we create together. What makes us Agile? We call it the 6Hs, the values that define our culture and guide everything we do. Together, these values infuse vibrancy, integrity, and a tireless work ethic into advancing the most important national security and critical civilian missions. It's how we show up every day. It's who we are. Happy - Be Infectious. Happiness multiplies and creates a positive and connected environment where motivation and satisfaction have an outsized effect on everything we do. Helpful - Be Supportive. Being helpful is the foundation of teamwork, resulting in a supportive atmosphere where collaboration flourishes, and collective success is celebrated. Honest - Be Trustworthy. Honesty serves as our compass, ensuring transparent communication and ethical conduct, essential to who we are and the complex domains we support. Humble - Be Grounded. Success is not achieved alone, humility ensures a culture of mutual respect, encouraging open communication, and a willingness to learn from one another and take on any task. Hungry - Be Eager. Our hunger for excellence drives an insatiable appetite for innovation and continuous improvement, propelling us forward in the face of new and unprecedented challenges. Hustle - Be Driven. Hustle is reflected in our relentless work ethic, where we are each committed to going above and beyond to advance the mission and achieve success. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description Staff / Principal Platform Engineer Location: New York City Hybrid Department: AI Platform & Infrastructure Team Reports to: Vangie Shue - Principal Engineering Manager About AppGate AppGate secures and protects an organization's most valuable assets with its high performance Zero Trust Network Access (ZTNA) solution and Cyber Advisory Services. AppGate ZTNA is the only direct-routed Zero Trust solution built for peak performance, superior protection and seamless interoperability. AppGate Cyber Advisory Services harden your security posture and ensure business continuity. AppGate safeguards Fortune 500 enterprises and government agencies worldwide. Learn more at About the Role As we expand our platform, we are standing up a new AI Platform & Infrastructure team: the engine room of AppGate's AI strategy. This team owns the infrastructure layer that every next-generation security capability is built on, from network observability to AI-driven threat detection and the secure operation of emerging Agentic AI systems. We're looking for a Staff or Principal Platform Engineer to build and operate the foundational platform behind AppGate's AI products. You combine deep DevOps and cloud infrastructure expertise with hands-on experience operationalizing AI/ML systems, and you treat observability as a first-class engineering discipline. This is a rare opportunity to join a small, private, high-impact company where your work directly shapes the architecture, reliability and core platform that defines the future of security. You'll own the platform spanning APIs, cloud and self-managed solutions and AI/ML infrastructure, and you'll make it fast, reliable and observable at scale. This is a high-leverage, hands-on role for a senior engineer who sets technical direction and still ships. Key Responsibilities Build the Platform: design, build and operate the cloud infrastructure, services and pipelines that AppGate's AI and cloud products run on. Strong experience with self-managed technologies (kafka, elasticsearch) and Kubernetes are a must. Infrastructure as Code & Deployment Orchestration: Terraform and Helm for cloud provisioning, service deployment and configuration management. Implement Observability: instrument APIs, cloud services and AI/ML infrastructure with metrics, logging, tracing and alerting, and define SLOs and operational health metrics that teams trust. Data Platform: real-time and batch data ingestion pipelines, feature stores and data quality. Integrations: third-party connectors, APIs and platform integrations. Operationalize AI/ML: build model serving and inference pipelines, experiment tracking and the MLOps tooling for deployment, versioning, drift monitoring and lifecycle management. Engineer for reliability & automation: apply SRE practices to reduce toil, improve resilience and keep latency and uptime within target across the platform. Automate everything - deliver infrastructure-as-code, CI/CD and self-service tooling so product teams ship safely and quickly. Set technical direction: define platform standards, architecture and best practices, and raise the engineering bar through design reviews and mentorship. Collaborate cross-functionally: partner with data scientists, product teams and leadership to align platform investment with AppGate's strategic vision. Required Qualifications Experience: extensive platform, infrastructure or SRE engineering experience, with a track record of operating production systems at scale. Staff-level candidates typically bring 8+ years and Principal-level candidates 12+ years, though we hire on demonstrated impact. DevOps depth: strong command of infrastructure-as-code (Terraform or equivalent), CI/CD, containers and orchestration (Docker, Kubernetes), and cloud platforms (AWS). Observability expertise: hands-on experience implementing observability across APIs, cloud services and distributed systems using tools such as Prometheus, Grafana, OpenTelemetry, the ELK stack or comparable, including SLO and error-budget practice. Data platform skills: familiarity with real-time and batch ingestion pipelines, feature stores and data quality at production scale. Engineering craft: fluency in a primary backend language (Python, Go or similar) and a strong bias toward automation, testing and reliable, maintainable systems. Leadership: a record of setting technical direction, leading complex initiatives across teams, mentoring senior engineers, while still being very hands-on. Mindset: pragmatic, rigorous and ownership-driven. You thrive in a small, fast-moving environment and enjoy building foundations others depend on. Preferred Qualifications AI/ML infrastructure: experience building or operating model serving, inference pipelines and MLOps tooling such as MLflow, Kubeflow, SageMaker or equivalent, including model deployment, versioning and drift monitoring. Networking & Zero Trust fundamentals: working knowledge of the network and routing layer beneath modern access solutions - TCP/IP, TLS, tunneling/overlay networks, packet routing and filtering, DNS and firewalling - and familiarity with Zero Trust Network Access (ZTNA) or adjacent domains (VPN, SDP, SASE, software-defined networking). You can reason about traffic paths, latency and throughput end-to-end, and instrument the network as a first-class observability signal. Compensation Staff: 185k-225k base Principal: 215k-270k base We offer performance bonuses and considerable equity. AppGate is An Equal Opportunity/Affirmative Action Employer and a federal contractor subject to the Rehabilitation Act of 1973 and the Vietnam Era Veterans Readjustment Assistance Act of 1974 as amended, and their corresponding regulations. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class. Further, AppGate is an affirmative action employer committed to taking positive steps to employ, advance in employment and otherwise afford equal employment opportunity to protected veterans and individuals with disabilities. In furtherance of AppGate's policy regarding affirmative action and equal employment opportunity, AppGate has developed a written affirmative action program. This program is available for review upon request by any applicant or employee during normal business hours by contacting the company's EEO Coordinator.

Job Description Job Description Company Description About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . on LinkedIn, Facebook, Instagram, X and YouTube. Job Description As a discipline expert and technology leader, the Principal AI Engineer II will define and advance the strategy, architecture, and engineering practices required to develop, deploy, and scale artificial intelligence solutions across AbbVie. This role will investigate, identify, and implement state-of-the-art technology platforms that drive productivity and efficiency gains in own function and throughout multiple business areas. Technical leader acting at a group, department, and cross-functional levels. Responsible for managing the Data, Solutions, Business, and/or technology environments and tying them to the Enterprise Architecture and other architectures designs. Responsibilities: Define and advance AI engineering strategy, architecture, standards, and roadmaps aligned with AbbVie's business and technology objectives. Architect and build secure, scalable, reusable AI platforms, services, developer tools, and components that support enterprise adoption. Lead production-grade AI solutions from ideation and prototyping through development, testing, validation, deployment, monitoring, continuous improvement, and retirement. Integrate AI platforms with AWS services and enterprise data, software, security, identity, and infrastructure environments. Establish practices for evaluation, testing, versioning, release management, observability, performance monitoring, incident response, and operational support. Apply risk-based approaches to compliance, GxP, data integrity, privacy, cybersecurity, documentation, traceability, human oversight, and responsible AI. Partner with Quality, Regulatory, Legal, Privacy, Information Security, scientific, technical, and business stakeholders to deliver fit-for-purpose solutions. Serve as a trusted technical advisor, facilitate alignment, influence decisions without direct authority, and communicate complex tradeoffs and recommendations to technical and non-technical audiences. Evaluate emerging technologies, lead innovation and proof-of-concept efforts, and guide promising solutions into sustainable production capabilities. Mentor engineers, advance engineering maturity, promote knowledge sharing, and represent AbbVie in relevant technical communities and partner engagements. Qualifications Required Bachelor's degree with 9 years' experience, Master's degree with 8 years' experience, or PhD with 4 years' in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a related technical discipline. Demonstrated experience designing, deploying, and operating production-scale AI and machine learning systems. Strong experience in AI/platform engineering, including scalable platforms, reusable components, and production-grade AI solutions. Demonstrated experience designing, building, deploying, and supporting solutions using AWS systems and services. Strong software and cloud engineering practices, including secure design, automated testing, CI/CD, containerization, monitoring, and operational support. Experience working in a regulated environment, preferably pharmaceutical, biotechnology, healthcare, medical device, or life sciences. Experience supporting the full solution lifecycle, including feasibility, design, development, testing, validation, deployment, and ongoing operations. Strong understanding of risk management, validation, change control, data integrity, cybersecurity, privacy, documentation, and quality requirements. Demonstrated ability to manage complex stakeholders, influence technical and business decisions, and collaborate across organizational boundaries. Excellent communication skills with senior leaders, technical teams, scientific experts, business partners, and external collaborators. Demonstrated innovation and mentoring experience, including advancing engineering practices and delivering measurable impact. Preferred Experience with enterprise AI governance, responsible AI, model validation, human oversight, and AI lifecycle management. Experience with MLOps and production engineering, including model evaluation, APIs, microservices, CI/CD, observability, and infrastructure as code. Open-source contributions or technical thought leadership through publications, patents, or industry working groups. Experience leading cross-functional product development from feasibility through validation and production implementation. Enterprise AI or platform experience, including AWS architecture, governance, security, and integration with enterprise environments. Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. This job is eligible to participate in our long-term incentive programs. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company's sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit -us/equal-employment-opportunity-employer.html US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more: -us/reasonable- accommodations.html

Description: GXM is seeking a Senior Digital Engineer - MBSE & Data Science to support advanced defense and space-related mission programs focused on Command and Control (C2), mission systems integration, cloud modernization, data-driven decision support, and enterprise capability delivery. The selected candidate will combine Digital Engineering and Model-Based Systems Engineering (MBSE) with data science and analytics to develop and maintain authoritative digital representations of mission systems and their operational context. The role will connect mission threads, operational workflows, requirements, system architectures, interfaces, data flows, analytics, and technical baselines into a traceable digital engineering environment that supports integration, assessment, and decision-making across the system lifecycle. The candidate will use engineering models and mission data to characterize system dependencies, assess integration and operational performance, identify capability and data gaps, support technical trade studies, and evaluate analytic or AI/ML-enabled capabilities. As appropriate, the candidate will develop repeatable analysis workflows using Python, SQL, Jupyter, statistical methods, data visualization, and machine learning techniques to inform architecture and mission-engineering decisions. This role requires close collaboration with enterprise and solutions architects, systems engineers, software and data engineers, cybersecurity personnel, mission operators, and Government stakeholders to ensure engineering models, data relationships, analytic assumptions, and technical decisions are accurate, explainable, traceable, and aligned to mission outcomes. This position is onsite in Colorado Springs, CO. Hybrid flexibility may be available over time based on mission requirements, classified work requirements, program execution needs, and achievement of objectives. Responsibilities Develop, maintain, and govern MBSE models supporting mission systems, enterprise capabilities, operational architectures, and C2 integration using SysML and related digital engineering methods. Model mission threads, operational workflows, system functions, interfaces, dependencies, data exchanges, analytic services, and decision-support relationships to provide an integrated view of mission execution and system behavior. Establish and maintain digital-thread traceability from mission needs and operational use cases through requirements, architecture elements, interfaces, data sources, analytic functions, verification evidence, and mission outcomes. Develop and maintain data architecture artifacts, including logical and physical data flows, source-to-consumer mappings, data/interface relationships, schemas, metadata, data lineage, and provenance needed to support integration and analytics. Acquire, clean, transform, explore, and analyze structured and unstructured data to support engineering analysis, mission assessment, capability evaluation, and operational decision support. Apply statistical analysis, feature engineering, anomaly detection, classification, clustering, forecasting, or other machine learning techniques when appropriate; select methods based on mission need, data characteristics, and operational constraints rather than technology novelty. Evaluate analytic and AI/ML-enabled capabilities using mission-relevant measures of performance and effectiveness, including accuracy, precision/recall, latency, confidence, robustness, uncertainty, false-alarm rates, and operational utility as applicable. Support explainable and auditable AI/ML integration by maintaining traceability to source data, data transformations, model versions, analytic methods, assumptions, confidence measures, provenance, and operator actions. Assess data quality, completeness, consistency, timeliness, latency, availability, and fitness for use; identify data risks and recommend engineering or operational mitigations. Create clear technical visualizations, engineering views, analytic products, and decision-support artifacts that communicate system behavior, integration dependencies, data relationships, technical risks, and mission impact to technical and non-technical stakeholders. Support requirements engineering activities, including elicitation, decomposition, allocation, validation, verification planning, change impact analysis, and requirements-to-architecture traceability. Conduct model- and data-informed trade studies, sensitivity analyses, gap assessments, and technical evaluations to support architecture decisions, capability insertion, integration planning, and technical baseline management. Support development and management of technical baselines across hardware, software, data, infrastructure, cloud, security, and operational environments. Participate in architecture reviews, engineering working groups, technical assessments, model governance activities, configuration management, and design decisions; ensure digital engineering artifacts remain synchronized with implemented system changes. Collaborate with Agile and DevSecOps teams to integrate engineering models, requirements, data products, analytic prototypes, interfaces, and verification evidence into iterative capability releases. Requirements: Required Qualifications U.S. Citizen with an active TS/SCI security clearance and ability to maintain required access throughout employment. Bachelor's degree in Systems Engineering, Engineering, Computer Science, Data Science, Applied Mathematics, Statistics, Operations Research, Information Systems, or a related technical or quantitative discipline. 5+ years of relevant experience in systems engineering, digital engineering, MBSE, mission engineering, data science, analytics, or architecture development, including demonstrated experience working across multiple disciplines. Hands-on experience with MBSE tools such as Cameo Systems Modeler/MagicDraw, Sparx Enterprise Architect, or comparable modeling platforms. Experience developing SysML-based architecture models, engineering artifacts, requirements relationships, interface definitions, system dependencies, and technical documentation. Demonstrated data analysis or data science experience using Python and SQL, including data manipulation, exploratory analysis, statistics, and visualization. Working knowledge of Python data-science libraries and analytic environments such as pandas, NumPy, SciPy, scikit-learn, Matplotlib/Plotly, Jupyter, or equivalent tools. Experience translating mission, operational, or engineering questions into measurable analytic approaches, identifying appropriate data, defining assumptions, and communicating limitations and results. Familiarity with data modeling, data pipelines, APIs/interfaces, structured and semi-structured data, metadata, data quality, lineage, and provenance concepts. Working knowledge of statistical methods and machine learning fundamentals, including model selection, validation, performance metrics, overfitting, uncertainty, and appropriate use of training/test data. Experience supporting requirements management, traceability, technical baseline development, configuration management, and engineering change assessment. Experience working within Agile, DevSecOps, or other iterative engineering and software-delivery environments. Strong analytical reasoning, problem-solving, technical writing, communication, and stakeholder-engagement skills. Desired Qualifications Experience supporting defense, space, intelligence, homeland defense, or multi-domain operational environments, particularly Command and Control (C2), Space Domain Awareness (SDA), mission systems, or enterprise modernization initiatives. Experience applying the DoD Digital Engineering Strategy, digital-thread concepts, mission engineering, DoDAF/UAF, or SysML-based architecture development in a DoD environment. Experience with Cameo Teamwork Cloud, model repositories, collaborative model governance, model validation, or integration of MBSE tools with requirements and lifecycle-management platforms. Experience developing or evaluating AI/ML-enabled data fusion, anomaly detection, predictive analytics, sensor/data correlation, decision-support analytics, or other operational analytics for mission environments. Experience with cloud-native or distributed data environments, data engineering platforms, containerized analytics, APIs, message/event data, or big-data technologies in secure environments. Familiarity with data engineering and MLOps concepts, including version control, reproducible pipelines, model/data versioning, test automation, monitoring, and deployment within DevSecOps environments. Master's degree in Systems Engineering, Data Science, Computer Science, Applied Mathematics, Statistics, Operations Research, or a related technical field. OCSMP, INCOSE ASEP/CSEP/ESEP, Cameo certification, cloud/data engineering certification, or recognized data science/AI certification. $130,000-$195,000 base salary + annual bonus eligibility + medical/dental/vision/STD/LTD/Life + 401(k) + PTO Equal Employment Opportunity / Legal Disclaimer GXM Technologies LLC is an Equal Opportunity Employer and participates in E-Verify to confirm employment eligibility. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity . click apply for full job details

Cyber Security Manager We are seeking a highly technical Cyber Security Manager to lead security architecture, engineering, and security operations across a complex enterprise environment. This is a true player-coach role for someone who enjoys leading a team but still wants to remain hands-on and close to the technology. The ideal candidate will have deep experience across cloud and on-prem security, security engineering, automation, incident response, and emerging AI security. This person should be equally comfortable providing technical direction to a security team and jumping in to troubleshoot complex security challenges. Responsibilities Lead security architecture and engineering across on-premise, AWS, and Azure environments. Establish security standards and guardrails for AI/ML and LLM technologies, including RAG pipelines, API security, prompt injection, and emerging AI threats. Lead and participate in threat hunting, incident response, vulnerability management, and remediation. Serve as a senior technical escalation point for complex cybersecurity issues. Develop and maintain DevSecOps practices, including CI/CD security controls, infrastructure-as-code scanning, and automated compliance. Provide technical direction around security architecture, tooling, infrastructure, and technical debt. Identify security risks and translate highly technical issues into actionable recommendations for technical and business leadership. Lead, mentor, and develop a high-performing cybersecurity team. Partner with infrastructure, cloud, application development, and business teams to implement security best practices across the organization. Required Qualifications Bachelor's degree in Computer Science, Information Technology, Cybersecurity, or a related field; equivalent professional experience considered. 8+ years of hands-on cybersecurity experience. 5+ years of technical leadership or management experience. Strong knowledge of the MITRE ATT&CK framework. Deep experience with cloud-native security across AWS and/or Azure. Hands-on experience securing and troubleshooting Kubernetes, IAM, Windows, and Linux environments. Strong understanding of Active Directory, SMB, Kerberos, memory protection, and other enterprise security concepts. Hands-on PKI management experience. Strong scripting/development experience with Python and/or Go, including security automation and custom tooling. Understanding of AI/LLM security, including the ability to evaluate Python-based AI frameworks and integrations. Strong communication skills with the ability to work effectively with both technical teams and executive leadership. Preferred Qualifications CISSP or CISM OSCP or similar hands-on technical security certification AWS Certified Security Google Professional Cloud Security Engineer Experience securing enterprise AI/ML implementations By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. EEO Notice Vaco by Highspring is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by federal, state or local law. Vaco by Highspring and its parents, affiliates, and subsidiaries are committed to the full inclusion of all qualified individuals. As part of this commitment, Vaco by Highspring and its parents, affiliates, and subsidiaries will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact . Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal. Representation Notice By submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. You also agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal. For residents of Ontario, Canada: Based on Highspring's discussions with its Client, Highspring's understanding is that this position for employment is a current vacancy (either through Highspring as a contractor or with the client directly). Privacy Notice Vaco by Highspring and its parents, affiliates, and subsidiaries ("we," "our," or "Vaco by Highspring") respects your privacy and are committed to providing transparent notice of our policies. California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here. Virginia residents may access our state specific policies here. Residents of all other states may access our policies here. Canadian residents may access our policies in English here and in French here. Residents of countries governed by GDPR may access our policies here. Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring's use of AI can be found here (). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client's use of AI products in hiring. Pay Transparency Notice Determining compensation for this role (and others) at Vaco by Highspring depends upon a wide array of factors including but not limited to: the individual's skill sets, experience and training; licensure and certification requirements; office location and other geographic considerations; other business and organizational needs. With that said, as required by local law, Vaco by Highspring believes that the following salary range referenced above reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure. The individual may also be eligible for discretionary bonuses.

About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Visa's Technology Organization is a community of problem solvers and innovators reshaping the future of commerce. We operate the world's most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants, 15k Financial Institutions, and billions of everyday people. While working with us you'll get to work on complex distributed systems and solve massive scale problems centered on new payment flows, business and data solutions, cyber security, and B2C platforms. The Opportunity: We are looking for Versatile, curious, and energetic Software Engineers who embrace solving complex challenges on a global scale. As a Visa Software Engineer, you will be an integral part of a multi-functional development team inventing, designing, building, and testing software products that reach a truly global customer base. Join the Commercial and Money Movement Solutions (CMS) organization as a Senior Staff Engineer focused on leveraging AI to solve complex engineering and customer challenges. You will work on innovative solutions that combine deep technical expertise with AI/ML capabilities to enhance developer productivity, improve customer experiences, and drive next-generation commercial payment and money movement technology for B2B, B2C, P2P, and G2C flows. The Work itself: Design and architect AI-powered solutions that solve engineering productivity challenges and enhance customer-facing products across CMS Lead technical initiatives leveraging agentic AI, LLMs, and machine learning to automate workflows and improve software quality Collaborate multi-functionally to create design artifacts and develop best-in-class software solutions for multiple Visa technical offerings Drive experimentation with emerging AI technologies and make technical decisions on adoption and standards Develop robust and scalable products intended for a myriad of customers including end-user merchants, b2b, and business to government solutions. Develop scalable platforms and services that integrate AI capabilities into Visa's commercial payment and money movement systems Opportunities to make a difference on a global or local scale through mentorship and continued learning opportunities Essential Functions: Works directly with product owners to gather and refine requirements across products, adding and taking into account existing tools and solutions across the organization. Develops and designs advanced architect solutions that are robust and scalable, integrating AI capabilities with Visa's technical ecosystem Provides domain expertise on the development of technical documentation of solutions and contributes to standard processes in technical documentation as needed. Plays a key role in the development and delivery of new features across products from end-to-end. This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications • 8+ years of relevant work experience with a Bachelor's Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work experience. Preferred Qualifications • 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD • Master's degree in Math, Science, Engineering, Computer Science, Information Systems or related field AND minimum six (6) years of experience in a directly related field OR Bachelor's degree in Math, Science, Engineering, Computer Science, Information Systems or related field AND minimum eight (8) years of experience in a directly related field OR Minimum eleven (11) years of directly related experience • Experience with AI agent frameworks, LLMs, or generative AI applications (Claude, GPT, etc.) • Knowledge of AI-powered development tools (Claude Code, GitHub Copilot, etc.) or building similar systems • Experience applying AI to solve engineering challenges or customer-facing product features • Understanding of commercial payments, money movement, B2B payables, or payment processing • Experience with cloud platforms (AWS, Azure, GCP) and modern architectures • Knowledge of API design, microservices, and distributed systems • Experience leading cross-team technical initiatives The Skills You Bring • Energy and Experience: A growth mindset that is curious and passionate about technologies and enjoys challenging projects on a global scale • AI Expertise: Experience with agentic AI, LLMs, AI agent frameworks, or machine learning applications • Challenge the Status Quo: Comfort in pushing the boundaries, 'hacking' beyond traditional solutions • Language Expertise: Expertise in one or more general development languages (e.g., Java, C#, C++) • Architecture & Design: Proven track record designing scalable systems that integrate AI capabilities • Builder: Experience building AI-powered features for engineering productivity or customer-facing applications • Learner: Constant drive to learn new technologies such as Angular, React, Kubernetes, Docker, etc. • Partnership: Experience collaborating with Product, Test, Dev-ops, and Agile/Scrum teams • We do not expect that any single candidate would fulfill all of these characteristics. For instance, we have exciting team members who are really focused on building scalable systems but didn't work with payments technology or web applications before joining Visa. Information for US Applicants For roles located in the US, the estimated salary range for this position is $169,100.00 to $ 270,800.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.

About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Visa's Technology Organization is a community of problem solvers and innovators reshaping the future of commerce. We operate the world's most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants, 15k Financial Institutions, and billions of everyday people. While working with us you'll get to work on complex distributed systems and solve massive scale problems centered on new payment flows, business and data solutions, cyber security, and B2C platforms. The Opportunity: We are looking for Versatile, curious, and energetic Software Engineers who embrace solving complex challenges on a global scale. As a Visa Software Engineer, you will be an integral part of a multi-functional development team inventing, designing, building, and testing software products that reach a truly global customer base. Join the Commercial and Money Movement Solutions (CMS) organization as a Senior Staff Engineer focused on leveraging AI to solve complex engineering and customer challenges. You will work on innovative solutions that combine deep technical expertise with AI/ML capabilities to enhance developer productivity, improve customer experiences, and drive next-generation commercial payment and money movement technology for B2B, B2C, P2P, and G2C flows. The Work itself: Design and architect AI-powered solutions that solve engineering productivity challenges and enhance customer-facing products across CMS Lead technical initiatives leveraging agentic AI, LLMs, and machine learning to automate workflows and improve software quality Collaborate multi-functionally to create design artifacts and develop best-in-class software solutions for multiple Visa technical offerings Drive experimentation with emerging AI technologies and make technical decisions on adoption and standards Develop robust and scalable products intended for a myriad of customers including end-user merchants, b2b, and business to government solutions. Develop scalable platforms and services that integrate AI capabilities into Visa's commercial payment and money movement systems Opportunities to make a difference on a global or local scale through mentorship and continued learning opportunities Essential Functions: Works directly with product owners to gather and refine requirements across products, adding and taking into account existing tools and solutions across the organization. Develops and designs advanced architect solutions that are robust and scalable, integrating AI capabilities with Visa's technical ecosystem Provides domain expertise on the development of technical documentation of solutions and contributes to standard processes in technical documentation as needed. Plays a key role in the development and delivery of new features across products from end-to-end. This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications • 8+ years of relevant work experience with a Bachelor's Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work experience. Preferred Qualifications • 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD • Master's degree in Math, Science, Engineering, Computer Science, Information Systems or related field AND minimum six (6) years of experience in a directly related field OR Bachelor's degree in Math, Science, Engineering, Computer Science, Information Systems or related field AND minimum eight (8) years of experience in a directly related field OR Minimum eleven (11) years of directly related experience • Experience with AI agent frameworks, LLMs, or generative AI applications (Claude, GPT, etc.) • Knowledge of AI-powered development tools (Claude Code, GitHub Copilot, etc.) or building similar systems • Experience applying AI to solve engineering challenges or customer-facing product features • Understanding of commercial payments, money movement, B2B payables, or payment processing • Experience with cloud platforms (AWS, Azure, GCP) and modern architectures • Knowledge of API design, microservices, and distributed systems • Experience leading cross-team technical initiatives The Skills You Bring • Energy and Experience: A growth mindset that is curious and passionate about technologies and enjoys challenging projects on a global scale • AI Expertise: Experience with agentic AI, LLMs, AI agent frameworks, or machine learning applications • Challenge the Status Quo: Comfort in pushing the boundaries, 'hacking' beyond traditional solutions • Language Expertise: Expertise in one or more general development languages (e.g., Java, C#, C++) • Architecture & Design: Proven track record designing scalable systems that integrate AI capabilities • Builder: Experience building AI-powered features for engineering productivity or customer-facing applications • Learner: Constant drive to learn new technologies such as Angular, React, Kubernetes, Docker, etc. • Partnership: Experience collaborating with Product, Test, Dev-ops, and Agile/Scrum teams • We do not expect that any single candidate would fulfill all of these characteristics. For instance, we have exciting team members who are really focused on building scalable systems but didn't work with payments technology or web applications before joining Visa. Information for US Applicants For roles located in the US, the estimated salary range for this position is $169,100.00 to $ 270,800.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.

About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description The Opportunity We are seeking a talented and motivated Senior Software Development Engineer to join our Payments Products Development team. As a key member of the team, you will play a critical role in developing cutting-edge solutions, leveraging innovative technologies, and enhancing the capabilities of our platforms. You will quickly grasp and evaluate new ideas and technologies from internal and external sources, then match them to emerging technology and business opportunities while helping build a culture of innovation and engineering excellence. Essential Functions: AI-Enabled Innovative Development: Design, develop, and implement innovative software solutions using generative AI, conversational AI, RAG, and modern integration patterns. Explore new technologies and translate relevant ideas into secure, scalable business solutions. AI System Engineering: Design and integrate AI components into larger platforms, including data preparation, model evaluation, deployment, monitoring, and continuous improvement. Address robustness, quality, security, and operational reliability throughout the lifecycle. Collaborative Engineering: Collaborate with cross-functional teams to deliver complex projects that integrate emerging technologies with existing platforms. Work closely with Product Office, Operations & Infrastructure, Cybersecurity, Client Support, and Product Development teams. Continuous Learning: Actively expand knowledge of generative AI, machine learning, modern engineering practices, and emerging technologies. Share learning with peers and contribute to team growth. Client-Focused Solutions: Develop solutions with a client-centric mindset, ensuring Payment Product platforms deliver exceptional value and innovation. Use client feedback to refine and improve offerings. API and Integration Development: Contribute to the design and development of APIs that enhance integration across Payment Product applications, platforms, AI services, and solutions. Technology Modernization: Advance the modernization roadmap by adopting best-in-class technology solutions for core platforms, expanding market reach and client impact. Process Improvement: Continuously improve technology stacks, development processes, and methodologies to enhance productivity, quality, and time to market, including responsible use of AI-assisted engineering tools. Engineering Excellence: Follow industry best practices in software development, emphasizing quality, security, performance, scalability, availability, resilience, and reduction of technical debt. Automation and Best Practices: Automate software development, testing, deployment, and maintenance processes. Use AI-generated outputs as accelerators while applying rigorous engineering review and verification. Incident and Change Management: Support incident, change, and problem management processes. Participate in root-cause analysis and troubleshooting to sustain high availability and service reliability. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience Expert-level skills in Java, Python, and Node.js; experience with C++ or C# is a plus. Experience building Generative AI applications, conversational AI solutions, retrieval-augmented generation (RAG) architectures, and related techniques, tools, and libraries. Preferred Qualifications: 3 or more years of work experience with a Bachelor's Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) Self-driven, adaptable, and willing to work across technologies and programming languages. Strong understanding of natural language processing concepts, including tokenization, word embeddings, and sequence models. Proficiency implementing and fine-tuning AI and machine learning models using frameworks such as TensorFlow, PyTorch, or scikit-learn. Understanding of machine learning and deep learning fundamentals, including neural network architectures, training procedures, transfer learning, model compression, and associated trade-offs. Ability to design, implement, and integrate AI components into larger enterprise systems. Familiarity with common robustness, reliability, security, and responsible-use considerations in AI systems. Experience working with large datasets, exploratory data analysis, data preprocessing, feature engineering, and model evaluation techniques. Exposure to leading-edge areas such as machine learning, deep learning, stream computing, MLOps, and modern AI integration patterns. Proficiency in front-end web development technologies such as React, Angular, and Node.js. Experience configuring build and deployment systems such as Docker, Jenkins, and Kubernetes. Expertise in multithreading, concurrency, and error handling. Demonstrated proficiency in troubleshooting, root-cause analysis, application design, and implementing enterprise-scale components. Knowledge of version control, CI/CD pipelines, and best practices for application and ML model deployment. Working knowledge of distributed in-memory computing technologies such as Redis. Understanding of enterprise security, certificate management, and related practices. Hands-on experience with Jenkins and container deployment architecture. Experience with OAuth 2.0, SSO, and authentication methods or protocols. Expertise in application security, SSDLC, and cryptography fundamentals. Experience applying AI-assisted engineering practices while independently validating generated code, tests, documentation, and technical recommendations. Experience in the payments technology industry is a plus. The Skills You Bring: Energy and Experience: A growth mindset, curiosity about technology, and enthusiasm for challenging projects on a global scale. Challenge the Status Quo: Comfort pushing boundaries and exploring solutions beyond traditional approaches. Language Expertise: Expertise in one or more development languages such as Java, Python, Node.js, C#, or C++. AI Builder: Experience building and deploying Generative AI, conversational AI, RAG, machine learning, modern services, and web applications with quality and scalability. Critical AI Judgment: Ability to evaluate AI-generated code and recommendations, identify failure modes, and apply independent engineering judgment. Learner: A consistent drive to learn technologies such as GenAI, machine learning, Angular, React, Kubernetes, and Docker. Partnership: Experience collaborating with Product, Test, DevOps, Cybersecurity, and Agile/Scrum teams. Information for US Applicants For roles located in the US, the estimated salary range for this position is $112,100 to $204,000 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.

Description: GXM is seeking a Senior Digital Engineer - MBSE & Data Science to support advanced defense and space-related mission programs focused on Command and Control (C2), mission systems integration, cloud modernization, data-driven decision support, and enterprise capability delivery. The selected candidate will combine Digital Engineering and Model-Based Systems Engineering (MBSE) with data science and analytics to develop and maintain authoritative digital representations of mission systems and their operational context. The role will connect mission threads, operational workflows, requirements, system architectures, interfaces, data flows, analytics, and technical baselines into a traceable digital engineering environment that supports integration, assessment, and decision-making across the system lifecycle. The candidate will use engineering models and mission data to characterize system dependencies, assess integration and operational performance, identify capability and data gaps, support technical trade studies, and evaluate analytic or AI/ML-enabled capabilities. As appropriate, the candidate will develop repeatable analysis workflows using Python, SQL, Jupyter, statistical methods, data visualization, and machine learning techniques to inform architecture and mission-engineering decisions. This role requires close collaboration with enterprise and solutions architects, systems engineers, software and data engineers, cybersecurity personnel, mission operators, and Government stakeholders to ensure engineering models, data relationships, analytic assumptions, and technical decisions are accurate, explainable, traceable, and aligned to mission outcomes. This position is onsite in Colorado Springs, CO. Hybrid flexibility may be available over time based on mission requirements, classified work requirements, program execution needs, and achievement of objectives. Responsibilities Develop, maintain, and govern MBSE models supporting mission systems, enterprise capabilities, operational architectures, and C2 integration using SysML and related digital engineering methods. Model mission threads, operational workflows, system functions, interfaces, dependencies, data exchanges, analytic services, and decision-support relationships to provide an integrated view of mission execution and system behavior. Establish and maintain digital-thread traceability from mission needs and operational use cases through requirements, architecture elements, interfaces, data sources, analytic functions, verification evidence, and mission outcomes. Develop and maintain data architecture artifacts, including logical and physical data flows, source-to-consumer mappings, data/interface relationships, schemas, metadata, data lineage, and provenance needed to support integration and analytics. Acquire, clean, transform, explore, and analyze structured and unstructured data to support engineering analysis, mission assessment, capability evaluation, and operational decision support. Apply statistical analysis, feature engineering, anomaly detection, classification, clustering, forecasting, or other machine learning techniques when appropriate; select methods based on mission need, data characteristics, and operational constraints rather than technology novelty. Evaluate analytic and AI/ML-enabled capabilities using mission-relevant measures of performance and effectiveness, including accuracy, precision/recall, latency, confidence, robustness, uncertainty, false-alarm rates, and operational utility as applicable. Support explainable and auditable AI/ML integration by maintaining traceability to source data, data transformations, model versions, analytic methods, assumptions, confidence measures, provenance, and operator actions. Assess data quality, completeness, consistency, timeliness, latency, availability, and fitness for use; identify data risks and recommend engineering or operational mitigations. Create clear technical visualizations, engineering views, analytic products, and decision-support artifacts that communicate system behavior, integration dependencies, data relationships, technical risks, and mission impact to technical and non-technical stakeholders. Support requirements engineering activities, including elicitation, decomposition, allocation, validation, verification planning, change impact analysis, and requirements-to-architecture traceability. Conduct model- and data-informed trade studies, sensitivity analyses, gap assessments, and technical evaluations to support architecture decisions, capability insertion, integration planning, and technical baseline management. Support development and management of technical baselines across hardware, software, data, infrastructure, cloud, security, and operational environments. Participate in architecture reviews, engineering working groups, technical assessments, model governance activities, configuration management, and design decisions; ensure digital engineering artifacts remain synchronized with implemented system changes. Collaborate with Agile and DevSecOps teams to integrate engineering models, requirements, data products, analytic prototypes, interfaces, and verification evidence into iterative capability releases. Requirements: Required Qualifications U.S. Citizen with an active TS/SCI security clearance and ability to maintain required access throughout employment. Bachelor's degree in Systems Engineering, Engineering, Computer Science, Data Science, Applied Mathematics, Statistics, Operations Research, Information Systems, or a related technical or quantitative discipline. 5+ years of relevant experience in systems engineering, digital engineering, MBSE, mission engineering, data science, analytics, or architecture development, including demonstrated experience working across multiple disciplines. Hands-on experience with MBSE tools such as Cameo Systems Modeler/MagicDraw, Sparx Enterprise Architect, or comparable modeling platforms. Experience developing SysML-based architecture models, engineering artifacts, requirements relationships, interface definitions, system dependencies, and technical documentation. Demonstrated data analysis or data science experience using Python and SQL, including data manipulation, exploratory analysis, statistics, and visualization. Working knowledge of Python data-science libraries and analytic environments such as pandas, NumPy, SciPy, scikit-learn, Matplotlib/Plotly, Jupyter, or equivalent tools. Experience translating mission, operational, or engineering questions into measurable analytic approaches, identifying appropriate data, defining assumptions, and communicating limitations and results. Familiarity with data modeling, data pipelines, APIs/interfaces, structured and semi-structured data, metadata, data quality, lineage, and provenance concepts. Working knowledge of statistical methods and machine learning fundamentals, including model selection, validation, performance metrics, overfitting, uncertainty, and appropriate use of training/test data. Experience supporting requirements management, traceability, technical baseline development, configuration management, and engineering change assessment. Experience working within Agile, DevSecOps, or other iterative engineering and software-delivery environments. Strong analytical reasoning, problem-solving, technical writing, communication, and stakeholder-engagement skills. Desired Qualifications Experience supporting defense, space, intelligence, homeland defense, or multi-domain operational environments, particularly Command and Control (C2), Space Domain Awareness (SDA), mission systems, or enterprise modernization initiatives. Experience applying the DoD Digital Engineering Strategy, digital-thread concepts, mission engineering, DoDAF/UAF, or SysML-based architecture development in a DoD environment. Experience with Cameo Teamwork Cloud, model repositories, collaborative model governance, model validation, or integration of MBSE tools with requirements and lifecycle-management platforms. Experience developing or evaluating AI/ML-enabled data fusion, anomaly detection, predictive analytics, sensor/data correlation, decision-support analytics, or other operational analytics for mission environments. Experience with cloud-native or distributed data environments, data engineering platforms, containerized analytics, APIs, message/event data, or big-data technologies in secure environments. Familiarity with data engineering and MLOps concepts, including version control, reproducible pipelines, model/data versioning, test automation, monitoring, and deployment within DevSecOps environments. Master's degree in Systems Engineering, Data Science, Computer Science, Applied Mathematics, Statistics, Operations Research, or a related technical field. OCSMP, INCOSE ASEP/CSEP/ESEP, Cameo certification, cloud/data engineering certification, or recognized data science/AI certification. $130,000-$195,000 base salary + annual bonus eligibility + medical/dental/vision/STD/LTD/Life + 401(k) + PTO Equal Employment Opportunity / Legal Disclaimer GXM Technologies LLC is an Equal Opportunity Employer and participates in E-Verify to confirm employment eligibility. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity . click apply for full job details

GXM Technologies LLC seeks a Senior Agile Program Integration Lead to drive complex, multi-team software and systems programs for defense and intelligence customers. You will orchestrate agile delivery across geospatial, C4ISR, AI/ML, and cyber workstreams, ensuring integrated capabilities meet mission, security, and performance requirements. Responsibilities include PI planning, roadmap ownership, dependency management, risk mitigation, and stakeholder alignment with government partners. You will use metrics to guide continuous improvement, mentor teams on scaled agile practices, and help shape strategy for mission-critical national security solutions in a collaborative, innovation-focused culture. Responsibilities Lead end-to-end delivery of complex agile programs across multiple teams and workstreams Plan, prioritize, and manage integrated backlogs, roadmaps, and release plans Coordinate geospatial, AI/ML, C4 ISR, and cyber capabilities into cohesive program solutions Facilitate PI planning, scrum-of-scrums, and cross-team dependency management Track program metrics, risks, and issues; drive mitigation and continuous improvement Align technical delivery with customer mission needs, scope, schedule, and budget Partner with engineering, product, and government stakeholders on strategy and execution Ensure compliance with security, quality, and government standards Mentor teams on agile best practices and scaled agile frameworks (SAFe or similar) Prepare and present program status, technical integration updates, and decision briefs Required Skills Agile program management Scaled Agile (SAFe or similar) Scrum and Kanban Program/PI planning Roadmap and backlog management Geospatial/GIS systems integration C4 ISR systems and architectures AI/ML-enabled software delivery Risk and dependency management Stakeholder and customer management

GXM Technologies LLC seeks a Senior Digital Engineer specializing in MBSE and Data Science to support mission-critical defense and intelligence programs. In this role, you will architect and maintain SysML-based models, integrate geospatial, C4ISR, AI/ML, and cyber capabilities, and build advanced analytics to inform complex system decisions. You will collaborate with cross-functional teams, drive digital engineering best practices, mentor junior staff, and contribute to R&D efforts, delivering secure, scalable solutions that directly support U.S. national security objectives. Responsibilities Lead development of MBSE models to support complex defense and intelligence systems Design and implement data science and analytics solutions for mission-focused applications Integrate geospatial, C4 ISR, AI/ML, and cyber capabilities into digital engineering workflows Collaborate with cross-functional teams to define system architecture and requirements Develop prototypes and tools to support advanced R&D and systems integration Ensure model traceability, verification, and validation across the system lifecycle Optimize data pipelines, feature engineering, and model performance for production use Document designs, analyses, and technical decisions for stakeholders and customers Mentor junior engineers and data scientists in MBSE and analytics best practices Support proposal efforts and technical presentations to government clients Required Skills Model-Based Systems Engineering (MBSE) Sys ML or similar modeling languages Systems architecture and requirements engineering Data science and statistical analysis Python or similar programming languages Machine learning frameworks (e.g., Tensor Flow, Py Torch, scikit-learn) Geospatial data and tools (e.g., GIS, geospatial libraries) C4 ISR or defense/intelligence systems domain knowledge Data pipeline and ETL development Cloud or containerized environments for analytics