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Job Summary:

Cinteot is seeking a skilled DevOps Systems Engineer to join our dynamic Information Technology team in Herndon, VA. This role is integral to our Data Centric-Multi-Level Secure® (DC-MLS®) Enterprise team, focusing on the deployment and support of high-performance computing programs and other critical contracts. The ideal candidate will have a strong foundation in Unix/Linux systems and a passion for automation and continuous integration.

Key Responsibilities:

• Deploy and manage DevOps processes and tools to enhance system performance and reliability.
• Collaborate with cross-functional teams to define and implement automation strategies.
• Utilize scripting languages for configuration management and automation tasks.
• Ensure the security and integrity of systems through compliance with best practices.
• Maintain documentation for system configurations and processes.

Required Qualifications:

• 5+ years of experience in Linux, scripting/software development, and configuration management.
• Proficiency in Python, Perl, Korn, Bourne/Bash, Ansible, and other shell scripting.
• Experience with revision control software (CVS, SVN, Git, GitLab, GitLab CI).
• Demonstrated ability to manage and develop DevOps deployment automation processes.
• Security+ Certification is required.

Benefits:

• Comprehensive insurance coverage including medical, dental, and vision.
• 401(k) plan with company contributions.
• Tuition reimbursement for professional development.
• Generous paid time off policy, including your birthday!

Company Culture:

At Cinteot, we foster an inclusive environment that values diversity and encourages professional growth. We believe in empowering our employees to take initiative and innovate in their roles. Join us in making a difference!

Cinteot is an Equal Opportunity Employer:

All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.

The Opportunity:

Are you seeking an opportunity to enhance your expertise in satellite communications systems, including devices, implementing security systems, and identifying tools, that will support our country and safeguard our nation? As a Satellite Communications Systems Security Engineer, you will identify the necessary tools, security systems, devices, and applications required to assess vulnerabilities and recommend optimal solutions and security strategies. Your experience is needed to develop and implement security solutions that protect our military and infrastructure.

Join a team of communications and systems engineers supporting engineering, sustainment, and management of communications systems. You’ll perform ongoing system analyst activities for programs, perform risk assessments of systems and equipment, assist engineers with identifying solutions for vulnerabilities, create and map Security Technical Implementation Guides (STIGs), submit change requests for system components, develop a Plan of Action and Milestones (POA&M), create documentation supporting Risk Management Framework (RMF) accreditations, perform vulnerability management using automated systems, and create and submit RMF packages. You’ll brief the technical security posture to client leadership, prepare brief slides and summaries of vulnerabilities, and advise on how to prevent and mitigate future security threats.

In this role, you’ll closely impact a national security level communications system that provides vital information to strategic and tactical users of the DoD Teleport communications systems. With mentoring, challenging hands-on problem-solving, and opportunities to learn new tools and skills, we focus on growing as a team to make the best solutions for our customers.

What You’ll Work On:

• Develop relationships quickly and easily with other teams, communicating the complexities of security with a wide variety of audiences, including senior management.
• Implement infrastructure and cybersecurity controls, including enhanced detection and vulnerability capabilities and improved event correlation in large enterprises.
• Perform risk and vulnerability assessments in network, system, and application areas and leverage big data analytics and traditional security event types to identify advanced threats or indicators of compromise.
• Participate in the development of test strategies and conduct of testing, validating, and implementing applicable STIG requirements for current or new systems.
• Conduct periodic self-assessments of systems to ensure STIG compliance and create STIG checklists to support periodic self-assessments.
• Perform Information Assurance Vulnerability Management (IAVM) activities such as IA vulnerability alerts, bulletins, and tasking orders and develop a systematic approach for responses to IAVM related issues to maintain system compliance.

You Have:

• 7+ years of experience implementing, testing, and validating STIGs, performing system self‑assessments, and creating STIG checklists
• 7+ years of experience executing IAVM actions, such as IAVA alerts, bulletins, or tasking orders, and developing compliant engineering responses
• 7+ years of experience deploying and validating ESS, ACAS, and CMRS, analyzing ACAS scans, developing remediation strategies, and implementing patches and upgrades
• 7+ years of experience reviewing cybersecurity and engineering change requests to ensure operational availability and compliance
• Knowledge of RMF and its application to networks and IT systems, such as Cisco routers, switches, Active Directory, or access control
• Ability to manage users in Windows or Linux and administer VMs in VMware or Hyper‑V
• Ability to accredit and secure DoD systems using RMF, perform IAVA analysis, document POA&Ms, and prepare security assessment artifacts
• Secret clearance
• HS diploma or GED
• Security+ Certification

Nice If You Have:

• Possession of excellent verbal and written communication skills
• Top Secret Clearance
• Cybersecurity Certification, such as CISSP or Certified Ethical Hacker Certification, or Networking Certification, such as Network+ or Cisco Certification

Job Summary:

Cinteot is seeking an experienced Enterprise Security Architect to join our Information Technology department. This remote position is ideal for individuals who are passionate about defining security architecture standards and creating frameworks that enable secure-by-design solutions. You will play a critical role in shaping our security landscape and driving the adoption of zero-trust architecture across the enterprise.

Key Responsibilities:

• Define enterprise security architecture standards and create security patterns.
• Establish security controls by application tier and document encryption standards.
• Lead the enterprise adoption of zero-trust architecture through actionable templates.
• Review solution architectures for compliance with security patterns.
• Conduct threat modeling and establish security compliance frameworks.

Required Qualifications:

• Bachelor's degree in Computer Science, Information Security, or related field.
• 7+ years in security architecture or cybersecurity.
• Proven experience with zero-trust architecture and security controls frameworks.
• CISSP certification is required.

Benefits:

• Flexible remote work arrangements.
• Comprehensive health, dental, and vision insurance.
• Professional development opportunities and certifications support.

Company Culture & Values:

At Cinteot, we foster a culture of collaboration, innovation, and continuous improvement. Our team values a pattern-first mindset, enabling consistency and quality in our solutions. We are committed to supporting each other and working as strategic partners across all operational teams.

Job Overview:

The AI Product Owner is responsible for defining, prioritizing, and delivering the enterprise AI platform vision, roadmap, and capabilities that enable Agentic AI, machine learning, and generative AI solutions across the organization. This role serves as the bridge between business stakeholders, AI architects, platform engineers, data engineers, data scientists, and governance teams to ensure the AI platform delivers measurable business value, scalability, security, and operational excellence.

Key Responsibilities:

• Own and prioritize the Agile Team backlog for AI platform initiatives.
• Create and refine user stories, acceptance criteria, and feature decompositions.
• Define and maintain the product vision, strategy, and roadmap for enterprise AI platform capabilities.
• Translate business needs into clear user stories, acceptance criteria, and product requirements.
• Serve as the primary liaison between business stakeholders and AI platform delivery teams.
• Ensure platform capabilities align with organizational security, compliance, and AI governance requirements.
• Drive automation, standardization, and self-service capabilities to improve developer productivity.

Required Qualifications:

• High School Diploma/GED required. Bachelor’s degree in computer science, Engineering, Information Systems, Business, Data Science, or related field strongly preferred.
• 7+ years of experience in product management, technology delivery, platform management, AI/ML programs, or related disciplines.
• 3+ years of experience supporting AI, machine learning, data platforms, analytics platforms, or cloud-based technology products.
• Experience working in Agile/Scrum product delivery environments.
• Strong understanding of AI/ML lifecycles, cloud platforms, and enterprise technology ecosystems.

Benefits:

• Flexible remote work arrangements to support work-life balance.
• Comprehensive health and wellness benefits.
• Opportunities for professional development and career growth.

Company Culture:

At Cinteot, we believe in fostering an inclusive environment where diverse perspectives are valued. We are committed to innovation, collaboration, and continuous improvement, empowering our employees to thrive in their careers and contribute to our mission of delivering cutting-edge AI solutions.

Position Summary:

The Information System Security Officer (ISSO) provides senior-level cybersecurity engineering and compliance support to the Defense Information Systems Agency (DISA) Internet Enterprise (IE) under the CTAS Task Order. This role is responsible for ensuring mission systems achieve and sustain Authorization to Operate (ATO) through implementation of the Risk Management Framework (RMF) and transition from legacy DIACAP requirements. The ISSO – Level 3 acts as both a technical and compliance leader, bridging vulnerability management, STIG/SRG application, and documentation development to create complete and accurate accreditation packages. This position serves as a senior-level resource, providing mentorship to mid-level and junior ISSOs, while interfacing with Government stakeholders, Information System Security Managers (ISSMs), and Authorizing Officials (AOs).

Key Responsibilities:

The ISSO is expected to perform duties that span both hands-on technical tasks and high-level compliance oversight. Core responsibilities include:

• Leading the development, maintenance, and validation of RMF and A&A artifacts, including System Security Plans (SSPs), Security Assessment Reports (SARs), Plans of Action and Milestones (POA&Ms), configuration management records, and testing documentation.
• Implementing and validating compliance with DISA Security Technical Implementation Guides (STIGs) and Security Requirements Guides (SRGs) to maintain technical baselines across supported systems.
• Managing and analyzing results from vulnerability scanning and compliance tools such as ACAS, HBSS, and CMRS, and ensuring timely remediation of findings in accordance with IAVM directives.
• Preparing and submitting comprehensive accreditation packages in eMASS, ensuring accuracy, completeness, and timeliness of submissions to meet contract and PWS requirements.
• Conducting and documenting Security Test and Evaluation (ST&E) activities, ensuring objective assessment of control implementation and risk posture.
• Supporting and preparing for Command Cyber Readiness Inspections (CCRI), Security Assessment Visits (SAV), and Cooperative Vulnerability Penetration Assessments (CVPA) by creating corrective action plans, briefing results, and tracking closure of findings.
• Providing mentorship and guidance to junior ISSOs, ensuring proper interpretation of DoD cybersecurity policy and consistent application of standards across the team.
• Contributing to recurring deliverables such as Policy Compliance Reports, Risk Assessment Reports, and Directorate-level cybersecurity briefings, ensuring all outputs meet QASP Acceptable Quality Levels (AQLs).

Required Qualifications:

• Bachelor’s degree in Cybersecurity, Information Technology, or related field.
• Must hold and maintain an appropriate DoD 8140.03 / 8570.01-M certification baseline for this labor category (e.g., Security+, CISSP, CISM, or equivalent as required).
• At least 7 years of experience in cybersecurity engineering, RMF/DIACAP accreditation, and compliance documentation in DoD environments.
• Expertise in the application of DISA STIGs/SRGs, ACAS/HBSS vulnerability analysis, and eMASS package preparation.
• Strong written and verbal communication skills, with demonstrated experience producing accreditation documentation and presenting risk findings to senior stakeholders.

Desired Qualifications:

• Master’s degree in Cybersecurity or related discipline.
• Experience supporting DISA programs and preparing for CCRI inspections.
• Advanced certifications such as CISSP-ISSAP or CISM.

Clearance Requirement:

Active Top Secret

Job Summary:

We are seeking a highly experienced Cribl Engineer to serve as the principal technical authority for observability pipelines built on Cribl Stream and Cribl Edge. This role is designed for a senior technologist with deep expertise in log/telemetry routing, large-scale data engineering, and enterprise-grade observability architectures. You will shape pipeline strategy, design complex routing and transformation logic, drive platform reliability, mentor senior engineers, and serve as the top technical escalation point for Cribl-related challenges.

Key Responsibilities:

• Lead architecture and design for Cribl Stream/Edge across multiple enclaves and data domains.
• Build high throughput pipelines (multiTB/day) with advanced routing, filtering, enrichment, and replay workflows.
• Optimize system performance, worker topology, CPU/memory distribution, queues, and transport mechanisms.
• Engineer secure data flows with masking, tokenization, RBAC, PKI/TLS, and other governance controls.
• Integrate pipelines with SIEM/analytics ecosystems (Splunk, Elastic, SaaS telemetry platforms, cloud services).
• Develop HA/DR patterns, reliability frameworks, fleet health metrics, and failure mode response processes.
• Maintain reusable Cribl packs, shared patterns, runbooks, and operational standards.
• Serve as the senior escalation point for Cribl issues; interface with vendor engineering as required.
• Mentor engineers, conduct design reviews, drive engineering excellence, and enforce architectural standards.
• Support cross functional teams (security, cloud, analytics, infrastructure) on logging and telemetry strategy.

Required Qualifications:

• 10+ years of experience in logging, observability, or SIEM engineering.
• 5+ years architecting enterprise scale log/telemetry pipelines.
• 3+ years hands-on with Cribl Stream and Cribl Edge in production environments.
• Demonstrated success operating and scaling pipelines at 5–10+ TB/day.
• Expert-level experience with Splunk forwarding/ingestion, source type management, and indexing practices.
• Strong Linux fundamentals; scripting expertise (Python/Bash); Git; automation (Ansible/Terraform).
• Strong understanding of transport protocols (HTTP, TCP, TLS/MTLS), Kafka, S3/object storage.
• Experience designing secure data flows, including encryption, RBAC, secrets management, and compliance controls.
• Demonstrated ability to mentor senior engineers and lead technical decision making.
• Certified Cribl Certified Engineer (CCOE) or equivalent Cribl product expertise.
• Must possess the following DoD 8570.01-M certifications or be willing to obtain within 30 days of hire:
• Information Assurance Technician (IAT) Level II certification (currently Security+ CE, CCNA-Security, GSEC, SSCP, CySA+, GICSP, or CND).
• IAT Level III certification requirements (currently CASP+ CE, CCNP Security, CISA, CISSP (or Associate), GCED, or GCIH).
• Cyber Security Service Provider (CSSP) - Infrastructure Support (IS) certification requirements (currently CEH, CySA+, GICSP, SSCP, CHFI, CFR, Cloud+, or CND).
• Must possess a TS/SCI with Polygraph

Preferred Qualifications:

• Expertise creating and maintaining Cribl Packs and reusable pipelines.
• Experience with cloud telemetry (AWS, Azure, hybrid) and cross-domain data movement patterns.
• Familiarity with NIST / CIS control frameworks and secure engineering practices.
• Experience building observability frameworks for large distributed systems.
• Vendor engagement experience (Cribl PS, product teams, troubleshooting escalations).

Benefits:

• Competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• Opportunities for professional development and continuous learning.

Company Culture:

At Cinteot, we foster a collaborative and inclusive work environment where every team member is valued. We prioritize innovation and continuous improvement, encouraging our employees to share ideas and drive change. Join us to be part of a culture that promotes growth, diversity, and excellence.

Job Summary:

Cinteot in Herndon, VA is seeking a Full Time Software Test Engineer. In this role, you will collaborate with a team of 3 - 5 other developers to develop mission-critical software used around the world and engineer solutions to solve complex customer needs. The successful candidate will have experience and/or knowledge of software development, software design practices, and database structures.

Key Responsibilities:

• Design and execute test plans and test cases for software applications.
• Identify, document, and track software defects and issues.
• Collaborate with developers to ensure quality throughout the software development lifecycle.
• Participate in Agile ceremonies and contribute to continuous improvement efforts.
• Assist in the development of automated testing solutions.

Required Qualifications:

• Bachelor's degree from an accredited college in science and technology related disciplines such as Mathematics, Computer Science, Systems Engineering, Electrical Engineering, Computer Engineering, Physics, Information Technology, Management Information Systems, Cyber Security or related discipline.
• Must be a US Citizen; this position will require obtaining a government security clearance.

Desired Skills:

• Knowledge of basic software practices such as object-oriented programming, coding standards, unit testing, relational databases, and system administration.
• Familiarity with Agile Development Process is a plus.
• Strong communication skills and ability to work effectively in a team environment.

Benefits:

• Complete Insurance Coverage
• Blue Cross Medical, Delta Dental, Vision, Life
• 401k with Company Contribution
• Tuition Reimbursement
• Generous Paid Time Off (including your birthday!)

Company Culture:

At Cinteot, we prioritize our employees by providing diverse career opportunities designed to propel development and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We emphasize empowering our employees by fostering innovation and integrity while exemplifying corporate responsibility.

Equal Opportunity Employer:

Cinteot is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.

Job Overview:

The AI Data Engineer is responsible for building and operating high‑quality, governed, and AI‑ready data pipelines that power enterprise GenAI and agent‑based use cases. This role focuses on preparing data for retrieval‑augmented generation (RAG), managing embeddings and vector indexes, and ensuring data quality, lineage, and compliance across the AI platform. As part of the AI CoE Technology pod, the AI Data Engineer enables rapid, responsible AI development by delivering reusable, scalable data foundations. This is a hands‑on individual contributor role within the AI CoE – Technology pod, working closely with AI Platform Engineers and AI Engineers to support both shared platform capabilities and priority AI use cases. The role is intentionally centralized to avoid fragmented data pipelines and to ensure consistent governance, quality, and reuse across the enterprise.

Major Responsibilities:

• Design, build, and maintain data pipelines that ingest, transform, and curate structured and unstructured data for AI use cases.
• Prepare RAG‑ready datasets by applying metadata enrichment, chunking, normalization, and document parsing patterns aligned to platform standards.
• Partner with source system teams and domain SMEs to understand data semantics and ensure accurate representation for AI consumption.

• Create and maintain embedding pipelines, including generation, refresh, and lifecycle management.
• Own vector index maintenance, including re‑indexing strategies, performance tuning, and cleanup of stale or unused embeddings.
• Support knowledge grounding for AI agents by ensuring source attribution, consistency, and traceability.

• Implement data quality checks, validation rules, and monitoring to ensure accuracy, completeness, and reliability of AI datasets.
• Ensure all AI data pipelines comply with enterprise data governance, privacy, and information management policies, including support for regulated and sensitive data use cases.
• Collaborate with Architecture, Security, and Information Governance partners to align data handling with approved AI patterns and risk controls.

• Support AI Engineers during onboarding and troubleshooting by diagnosing data issues that affect agent behavior or retrieval accuracy.
• Contribute reusable data patterns, templates, and documentation to accelerate future AI use cases.
• Participate in platform support activities defined in the AI CoE RACI, particularly those related to data grounding and vector maintenance.

• Optimize data and embedding pipelines for performance, scalability, and cost efficiency, in partnership with Platform Engineers.
• Monitor data freshness and usage trends to recommend retirement, refresh, or enhancement of datasets supporting AI agents.

Qualifications:

• Bachelor’s degree in computer science, Engineering, Data Science, or a related technical discipline OR equivalent combination of education and relevant experience.
• Demonstrated experience designing and operating production-grade data pipelines in an enterprise environment.
• Experience working with unstructured data (documents, text, PDFs) and preparing data for analytics, ML, or AI use cases.
• Working knowledge of embeddings, vector databases, and retrieval patterns used in modern AI and GenAI solutions.
• Strong understanding of data quality, lineage, and governance concepts.

Additional Licensing, Certifications, Registrations:

• Professional certification(s) in area of expertise a plus

-AWS Machine Learning Specialty, Azure AI Engineer Associate, or equivalent cloud certifications.

-Databricks and/or Snowflake certifications

Knowledge, Skills, and Abilities:

• Strong hands-on experience designing and operating data pipelines for analytics, ML, or AI workloads.
• Experience working with unstructured data (documents, PDFs, text) and preparing it for downstream AI or search use cases.
• Knowledge of embeddings, vector databases, and retrieval patterns used in RAG or knowledge-based AI systems.
• Strong understanding of data quality, lineage, and governance concepts in enterprise environments.
• Experience supporting GenAI or agentic AI platforms in a regulated enterprise environment (e.g., healthcare, financial services).
• Familiarity with cloud-native data services and AI platforms commonly used for enterprise AI enablement.
• Experience partnering with platform and application teams in a federated or hub-and-spoke operating model.
• Understanding of healthcare compliance standards (HIPAA, HITRUST) and ethical AI practices (bias, explainability,data privacy).
• Ability to collaborate effectively with cross-functional teams and translate business requirements into technical solutions.
• Strong problem-solving and innovation mindset, with the ability to adapt generative AI to real-world challenges in healthcare and ability to adapt to and adapt to evolving priorities and technologies
• Familiarity with governance and compliance frameworks relevant to healthcare (HIPAA, SOC 2, HITRUST) preferred

Job Overview:

The AI Platform Engineer builds, hardens, and helps operate the enterprise GenAI/agentic platform that enables teams to safely develop and run AI agents at scale. This role owns the platform “foundations”—including LLM gateway & model routing, vector/knowledge base infrastructure, CI/CD and IaC automation, observability, and cost/usage management across use cases —so Dev teams can deliver agents quickly under consistent governance and controls. This role focuses on shared platform capabilities (as distinct from use-case AI engineering) and partners closely with CoE product/ops enablement and governance stakeholders to keep the platform scalable, compliant, and easy to onboard new agents and tools.

Key Responsibilities:

• Engineer and maintain the platform’s foundational capabilities: LLM gateway, model routing, shared compute/infrastructure, and platform governance controls.
• Onboard and support new platform capabilities and tools used by agents (e.g., adding/maintaining supported models and agent tooling standards).
• Provision and manage platform resources needed to scale agent development (e.g., provisioning Bedrock Knowledge Bases/vector-backed retrieval components where applicable).
• Build and maintain Terraform (or equivalent) IaC to create/update platform resources and dashboards; keep deployments repeatable across environments.
• Own and operate platform pipelines: executing Terraform + backend/frontend pipelines, troubleshooting failed deployments, and improving delivery reliability.
• Provide “platform support” for agent teams by diagnosing platform-related issues (e.g., deployment/update failures, agent creation problems, missing/incorrect results, conversation memory issues).
• Implement and maintain monitoring for performance/quality and agent behavior over time (including benchmark testing and evaluation monitoring such as “Bedrock Eval” where applicable).
• Own platform cost & usage management practices (budget signals, usage metrics, reporting, optimization recommendations).
• Collaborate with Security/Architecture/Governance partners to ensure platform controls align to enterprise policies and approved operating patterns (e.g., access controls, safe enablement of who can create what kinds of agents).

Required Qualifications:

• Bachelor’s degree in computer science, Engineering, Information Systems, or related technical discipline, or equivalent experience.
• Demonstrated experience designing and operating shared application or platform services in an enterprise environment.
• Experience with CI/CD pipelines, automation, and infrastructure provisioning.
• Working knowledge of modern AI/ML or GenAI platforms and cloud-based services.
• Strong understanding of operational reliability, monitoring, and support practices.
• Experience supporting AI, ML, or GenAI platforms in regulated industries (e.g., healthcare, insurance, financial services).
• Familiarity with agent-based architectures, LLM model integration, and AI platform patterns.
• Experience with cloud cost management, usage monitoring, or FinOps practices.
• Professional cloud or AI-related certifications (AWS, Azure, or equivalent).

Benefits:

• Flexible remote work environment.
• Comprehensive health benefits and wellness programs.
• Opportunities for professional development and career growth.

Company Culture:

At Cinteot, we foster an inclusive and collaborative environment where innovation thrives. We believe in empowering our employees to take ownership of their work and contribute to meaningful projects that impact our community and industry.

Job Summary:

As a Forescout Cyber Security Engineer at Cinteot, you will play a critical role in safeguarding our information technology infrastructure. Your expertise will be essential in managing cybersecurity controls and enhancing our detection capabilities within a collaborative team environment.

Key Responsibilities:

• Develop relationships quickly and easily with other teams, communicating the complexities of security with a wide variety of audiences, including senior management.
• Manage infrastructure and cybersecurity controls, including enhanced detection and vulnerability capabilities and improved event correlation in large enterprises.
• Contribute to risk and vulnerability assessments in network, system, and application areas, leveraging big data analytics to identify advanced threats or indicators of compromise.

Required Qualifications:

• 5+ years of experience performing systems administration for Windows or Linux, including troubleshooting, installation, configuration, and security upgrades.
• Experience architecting and designing IP networks, with the ability to develop and document network topologies.
• Knowledge of multi-domain architectures, including data center, WAN, and LAN in virtualized environments.
• TS/SCI clearance with the ability to obtain a counterintelligence (CI) polygraph.
• Associate’s degree with 5+ years of experience, Bachelor’s degree with 3+ years, or Master’s degree with 1+ year of experience supporting IT projects. Experience may be accepted in lieu of a degree.
• DoD 8570 IAT Level II Certification, including Security+ CE, CCNA-Security, GSEC, SSCP, CySA+, GICSP, or CND Certification.
• Ability to obtain a DoD 8570 Cybersecurity Service Provider - Infrastructure Support Certification (CSSP-IS) prior to the start date.

Additional Qualifications:

• Experience with deployment or daily maintenance of Forescout CounterACT appliances.
• Knowledge of federal information security policies, standards, and risk management processes for enterprise systems.
• Ability to install and deploy Forescout in customer environments.
• Ability to integrate Cybersecurity data using enterprise or custom data aggregation and analysis tools, including Splunk.
• Ability to provide support in a Tier II IT operations and maintenance role.
• Self-starter with excellent verbal and written communication skills.

Company Culture:

At Cinteot, we foster a culture of collaboration, innovation, and continuous learning. We believe in empowering our employees to grow both personally and professionally in a supportive environment.