6 jobs found

Job Description Job Description JOB SUMMARY: The Senior Software Engineer is responsible for designing, developing, and maintaining scalable software applications, APIs, and enterprise systems that support business objectives. This role serves as a technical leader within the engineering team, helping drive architecture decisions, engineering best practices, secure development, production reliability, and mentorship of junior and mid-level engineers. This position requires strong full-stack engineering experience, with emphasis on modern .NET APIs, Angular-based web applications, SQL Server-backed systems, secure service integrations, and maintainable enterprise software. Responsibilities Design, develop, test, and deploy scalable software applications, services, and APIs. Build and maintain ASP.NET Core REST APIs that orchestrate downstream enterprise services, SQL Server databases, and internal or third-party integrations. Develop and support Angular/TypeScript web applications using modern frontend patterns, reusable components, routing, forms, and service-based API integration. Lead technical design discussions and contribute to architecture decisions across frontend, backend, data access, and integration layers. Write clean, efficient, secure, and maintainable code following established engineering standards and design patterns. Collaborate with product managers, architects, QA, business stakeholders, and other engineering teams to define requirements and deliver solutions. Review code, provide technical guidance, and mentor junior and mid-level engineers. Troubleshoot and resolve complex defects, integration issues, performance problems, and production incidents. Implement resilient service integration patterns, including retry strategies, timeout handling, structured error handling, and graceful downstream failure handling. Maintain secure authentication and authorization flows using OAuth/OIDC, JWT claims, role/permission checks, and secure configuration practices. Contribute to CI/CD pipelines, automated testing, deployment readiness, and DevOps practices. Support production reliability through structured logging, correlation IDs, metrics, distributed tracing, and other observability practices. Document technical designs, processes, API contracts, and system architecture. Welcome to ConsultNet, a premier national provider of technology talent and solutions. Our expertise spans across project services, contract-to-hire, direct search, and managed services onshore, nearshore, and hybrid. For over 25 years, we have connected thousands of consultants with meaningful roles through a personal, communication-driven approach, partnering with a diverse client base to build high-performing teams and create lasting impact. Our comprehensive service offerings cover a wide range of technology and engineering positions across key markets nationwide. Learn more at . We champion equality and inclusivity, proudly supporting an Equal Opportunity Employer policy. We welcome applicants regardless of Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other status protected by law.

Job DescriptionJob Description CoreWeave is The Essential Cloud for AI . Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . About the role: The Data Service Team serves as the experts on managing data infrastructures as services for CoreWeave. The data infra includes but is not limited to managed databases, data ingestion, data flow, and data lake and analysis for CoreWeave and its customers. This team is responsible for the development of use cases, discovery of innovative solutions, automation and operations of our data service infrastructure. We are seeking a senior engineer manager with specialization in database space who can help us fulfill the goal of our data strategy and establish communication models for our data flow. This leadership role will work with a team of mixed skill engineers and have the opportunity to work on the full gamut of rewarding challenges that come with the business of building a cloud in a communicative, supportive, and high-performing environment. As a manager of the Data Service Team you will have the opportunity to: Build a world class engineering team by hiring and developing the best talent in the industry. Have curiosity and hunger to solve very hard system level problems in order to run the world's most demanding and advanced AI workloads. Design and implement services to deliver data to teams with a focus on providing managed solutions through APIs Improve the performance, security, reliability, and scalability of our data services. Establish guidelines, guard rails for data access and storage for stakeholder teams. Ensure compliance with standards for data protection regulation. Analyze telemetry and system data to drive improvements in throughput, latency, and resilience. Work cross-functionally with platform, product, and infrastructure teams to deliver seamless storage capabilities across the stack. Grow, change, invest in your teammates, be invested-in, share your ideas, listen to others, be curious, have fun, and, above all, be yourself. Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams - even if you aren't a 100% skill or experience match. Here are some qualities we've found compatible with our team. If a portion of this resonates with you, we'd love to talk. 5+ years of experience managing or leading data service infra teams; 5+ years of hands-on software or infrastructure engineering. Understanding one of the database internals: MySQL, PostgreSQL, Aurora, CockroachDB, TiDB, MongoDB, CosmosDB, Oracle, SQL Server, DB2, SAP. Hands-on background with cloud native and separating compute from storage architecture. Expert on life of a query and life of a transaction. You enjoy helping your colleagues achieve more with less effort. You have experience operating services in production and at scale and are versed in reliability engineering concepts such as the different types of testing, progressive deployments, error budgets, the role observability, and fault-tolerant design. You understand CAP theorem and concurrency models, can clearly define data models and establish guidelines around data management. You're excited about new research in database systems. You're familiar with Kubernetes and have interest or comfortable with using it for event-driven and/or stateful orchestration. You can transform problems in elastic solutions, decompose them into achievable tasks, and socialize both to your teammates. You're excited about being part of a team of diverse perspectives and backgrounds that believe in tackling challenges, growing hand in hand, and winning together. Excellent communication skills with the ability to collaborate across engineering, product, and leadership teams. Proven ability to attract, retain, and grow world-class engineering talent. The base salary range for this role is $207,000 to $275,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: Medical, dental, and vision insurance - 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. 1157, or (iv) asylee under 8 U.S.C. 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job DescriptionJob Description CoreWeave is The Essential Cloud for AI . Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . About the role: The Data Service Team serves as the experts on managing data infrastructures as services for CoreWeave. The data infra includes but is not limited to managed databases, data ingestion, data flow, and data lake and analysis for CoreWeave and its customers. This team is responsible for the development of use cases, discovery of innovative solutions, automation and operations of our data service infrastructure. We are seeking a senior engineer manager with specialization in database space who can help us fulfill the goal of our data strategy and establish communication models for our data flow. This leadership role will work with a team of mixed skill engineers and have the opportunity to work on the full gamut of rewarding challenges that come with the business of building a cloud in a communicative, supportive, and high-performing environment. As a manager of the Data Service Team you will have the opportunity to: Build a world class engineering team by hiring and developing the best talent in the industry. Have curiosity and hunger to solve very hard system level problems in order to run the world's most demanding and advanced AI workloads. Design and implement services to deliver data to teams with a focus on providing managed solutions through APIs Improve the performance, security, reliability, and scalability of our data services. Establish guidelines, guard rails for data access and storage for stakeholder teams. Ensure compliance with standards for data protection regulation. Analyze telemetry and system data to drive improvements in throughput, latency, and resilience. Work cross-functionally with platform, product, and infrastructure teams to deliver seamless storage capabilities across the stack. Grow, change, invest in your teammates, be invested-in, share your ideas, listen to others, be curious, have fun, and, above all, be yourself. Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams - even if you aren't a 100% skill or experience match. Here are some qualities we've found compatible with our team. If a portion of this resonates with you, we'd love to talk. 5+ years of experience managing or leading data service infra teams; 5+ years of hands-on software or infrastructure engineering. Understanding one of the database internals: MySQL, PostgreSQL, Aurora, CockroachDB, TiDB, MongoDB, CosmosDB, Oracle, SQL Server, DB2, SAP. Hands-on background with cloud native and separating compute from storage architecture. Expert on life of a query and life of a transaction. You enjoy helping your colleagues achieve more with less effort. You have experience operating services in production and at scale and are versed in reliability engineering concepts such as the different types of testing, progressive deployments, error budgets, the role observability, and fault-tolerant design. You understand CAP theorem and concurrency models, can clearly define data models and establish guidelines around data management. You're excited about new research in database systems. You're familiar with Kubernetes and have interest or comfortable with using it for event-driven and/or stateful orchestration. You can transform problems in elastic solutions, decompose them into achievable tasks, and socialize both to your teammates. You're excited about being part of a team of diverse perspectives and backgrounds that believe in tackling challenges, growing hand in hand, and winning together. Excellent communication skills with the ability to collaborate across engineering, product, and leadership teams. Proven ability to attract, retain, and grow world-class engineering talent. The base salary range for this role is $207,000 to $275,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: Medical, dental, and vision insurance - 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. 1157, or (iv) asylee under 8 U.S.C. 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description Job Description Dark Wolf Solutions is seeking Security Control Assessor/Representatives (SCA/Rs) to lead security control assessments across high-priority projects. Working at the intersection of cybersecurity engineering, cloud architecture, and DevSecOps prototyping, you will evaluate security controls for cutting-edge AI/LLM technologies across multiple classification levels. This position is ideal for a pragmatic cloud assessor or SCAR who excels in fast-paced DevSecOps environments, understands AWS cloud security, and is eager to shape the cybersecurity posture of next-generation DoD AI capabilities.This position will be based out of Arlington, VA. Additional responsibilities include: Key Responsibilities Execute formal SCA/R duties. Lead security assessment efforts, establishing reusable security playbooks and assessment frameworks for rapid AI deployment into enterprise workflows. Evaluate technical control effectiveness across AWS cloud infrastructure, DevSecOps pipelines, microservices, containerized workloads, and GenAI/LLM application stacks. Partner directly with cybersecurity engineering and DevSecOps prototyping teams to integrate security controls early in the development lifecycle. Review, author, and maintain assessment packages-including System Security Plans (SSPs), Security Assessment Plans (SAPs), Security Assessment Reports (SARs), and POA&Ms-tailored to rapid prototyping and AI systems. Assess technical security risks specific to AI/LLM implementations, such as API exposure, vector database access controls, model integration surface area, and software supply chain dependencies. Support continuous monitoring (ConMon), technical risk evaluations, and cloud architecture reviews across multi-tenant, multi-classification environments. Coordinate with Authorizing Officials (AOs), program managers, and engineering leads to deliver decision-ready risk briefings and ATO recommendations. Provide technical input and oversight for cybersecurity engineering and penetration testing activities across prototype projects. Required Qualifications Active Top Secret security clearance Current DoD 8570/8140 IAM Level II or Level III certification (e.g., Security+, CySA+, CISM, CISSP, CCISO, CAP/CISC) 3-5+ years of experience conducting security control assessments, compliance testing, or A&A/RMF activities for DoD or federal information systems Solid operational understanding of core AWS cloud services (EC2, S3, IAM, VPCs, Security Groups, Security Hub) and how security controls function within cloud-native and CI/CD pipeline environments. Strong working knowledge of NIST SP 800-53 (Rev. 4/5), NIST SP 800-37 (RMF), DoD Cloud Computing SRG, and FedRAMP baselines. Demonstrated experience writing and evaluating core RMF artifacts (SSPs, SAPs, SARs, POA&Ms) Exceptional written and verbal communication skills, with the ability to articulate technical risk clearly to executive stakeholders, Authorizing Officials, and engineering teams. Hands-on experience navigating government GRC repositories, such as eMASS or XACTA. Desired Qualifications Hands-on experience mapping security controls to the NIST AI Risk Management Framework (AI RMF), the OWASP Top 10 for LLM Applications, or the DoD Responsible AI (RAI) Guidelines. Familiarity evaluating secure design patterns for autonomous AI Agents (e.g., tool-calling permissions, sandboxing agent execution environments, prompt boundaries, and ReAct/LangGraph architectures). Experience assessing cloud-managed AI ecosystems and foundation model platforms (e.g., AWS Bedrock, AWS SageMaker, Hugging Face Enterprise, or self-hosted open-source models). Understanding of data protection, access controls, and boundary security for RAG pipelines and vector databases (e.g., OpenSearch Vector Engine, Pinecone, Milvus, or PostgreSQL pgvector). Familiarity evaluating risks unique to LLMs-including prompt injection, data poisoning, model inversion, insecure output handling, and open-source supply chain vulnerabilities in AI libraries (PyTorch, LangChain, LlamaIndex). Exposure to LLM guardrail platforms, evaluation frameworks, or AI security tools (e.g., Promptfoo, Garak, Giskard, NeMo Guardrails) used to test model robustness and output safety. Experience with cATO methodologies, Infrastructure as Code (IaC) templates (Terraform, CloudFormation), and container security (AWS EKS/ECS, Docker). Active AWS Certifications (e.g., AWS Certified Security - Specialty or AWS Certified Solutions Architect). Background or familiarity with offensive security, penetration testing The salary range for this position is estimated to be between $135,000.00 - $150,000.00, commensurate on experience and technical skillset. We are proud to be an EEO/AA employer Minorities/Women/Veterans/Disabled and other protected categories. In compliance with federal law, all persons hired will be required to verify identity, confirm US Citizenship, and complete the required employment eligibility verification upon hire. We are strictly looking for direct, full-time W2 employees. We do not engage with third-party staffing agencies, C2C, or 1099 independent contractors for this role.

Job Description Job Description Palo Alto Firewall Engineer / SME (PCNSE) Cyber Security Engineering Specialist III - Firewall Services Location: Springfield, VA - on site Time Type: Full time, Exempt Clearance Required to Start: Active TS/SCI (U.S. citizenship required) Additional Requirement: Must be able to obtain and maintain a U.S. Government polygraph Travel: Up to 15%, local and CONUS Salary Range: $117,000 - $128,000 Own the Palo Alto estate - legacy iron through Prisma and Panorama. RISA is hiring a Palo Alto SME to be the focal point for every Palo Alto task, operation, and project on the Network Security Services team supporting an Intelligence Community customer. The work spans both ends of the estate: PA-3000 and PA-5000 hardware refreshes and legacy CLI on one side, Prisma Access, VM-Series, and Cortex on the other. You will talk to the owner here, not a recruiting queue. What You Will Do Serve as the lead technical authority for administering, configuring, and troubleshooting Palo Alto NGFWs across a hybrid enterprise. Lead the design, analysis, testing, and implementation of secure network architectures on the Palo Alto stack. Manage the full hardware and software lifecycle, including complex refreshes and PAN-OS upgrades on legacy platforms. Run Panorama for centralized policy management across a fleet of physical and virtual firewalls. Configure master-level security profiles - App-ID, User-ID, Content-ID, SSL Decryption, and WildFire. Own configuration management processes and SOPs for all Palo Alto platforms. Mentor junior engineers and act as the escalation point for complex troubleshooting. Liaise with contract, customer, and government DAA on network security status, policies, and procedures. What You'll Bring S. citizenship and an active TS/SCI. Ability to successfully obtain and maintain a U.S. Government polygraph. Education and experience, per the contract labor category criteria: Bachelor's degree in a field applicable to the position plus 6 years of relevant experience. Equivalents accepted - Master's plus 4, Associate's plus 8, or High School diploma/GED plus 10. 7+ years hands-on administering, configuring, and troubleshooting Palo Alto NGFWs in large-scale enterprise or global environments. Active PCNSE certification. DoD 8140.01 and 8570.01-M IAT Level II (e.g. Security+ CE), and CSSP Infrastructure Support within 120 days of start. Deep practical knowledge of legacy Gen 2/Gen 3 hardware - PA-3000 and PA-5000 series, legacy CLI, physical troubleshooting, line-card replacement. Prisma Access (SASE), Prisma SD-WAN, and VM-Series in AWS, Azure, or GCP. Panorama template and device-group inheritance across a hybrid fleet. Advanced BGP, OSPF, IPSec VPN, and NAT. Nice to Have PCNSC or Prisma Certified SASE Professional (PCSAE). Python, plus firewall automation with Ansible, Terraform, or the Palo Alto XML/REST APIs. Cortex XDR or XSOAR; Expedition for legacy rule migration to App-ID policy. Zero Trust Network Access architecture; F5 (APM, AFM), Juniper SRX, or Cisco FTD/ASA. About RISA Rolston Information Systems Assurance (RISA) is a Service-Disabled Veteran-Owned Small Business that has supported federal defense and intelligence cybersecurity missions for more than seventeen years. We are small on purpose: direct access to leadership, a real say in how the work gets done, and none of the layers that slow large primes down. Benefits Medical, dental, and vision insurance; 401(k) and Roth; Paid Time Off; and 11 paid Federal Holidays. RISA is an Equal Opportunity Employer. Upon receiving an offer of employment, all applicants will be required to do a background check, including a criminal record check and employment/education verification.

Job Description Job Description Dark Wolf Solutions is seeking Security Control Assessor/Representatives (SCA/Rs) to lead security control assessments across high-priority projects. Working at the intersection of cybersecurity engineering, cloud architecture, and DevSecOps prototyping, you will evaluate security controls for cutting-edge AI/LLM technologies across multiple classification levels. This position is ideal for a pragmatic cloud assessor or SCAR who excels in fast-paced DevSecOps environments, understands AWS cloud security, and is eager to shape the cybersecurity posture of next-generation DoD AI capabilities.This position will be based out of Arlington, VA with hybrid/remote opportunities. Additional responsibilities include: Key Responsibilities Execute formal SCA/R duties. Lead security assessment efforts, establishing reusable security playbooks and assessment frameworks for rapid AI deployment into enterprise workflows. Evaluate technical control effectiveness across AWS cloud infrastructure, DevSecOps pipelines, microservices, containerized workloads, and GenAI/LLM application stacks. Bridge the gap between OffSec and development by applying software design best practices. Lead technical exchange meetings (TEMs), participate in Discovery & Framing workshops, and maintain effective communication with cross-functional teams and stakeholders. Act as the primary subject matter expert and lead developer for custom offensive tooling, integrating disparate capabilities into a cohesive, mission-ready platform. Review, author, and maintain assessment packages-including System Security Plans (SSPs), Security Assessment Plans (SAPs), Security Assessment Reports (SARs), and POA&Ms-tailored to rapid prototyping and AI systems. Assess technical security risks specific to AI/LLM implementations, such as API exposure, vector database access controls, model integration surface area, and software supply chain dependencies. Support continuous monitoring (ConMon), technical risk evaluations, and cloud architecture reviews across multi-tenant, multi-classification environments. Coordinate with Authorizing Officials (AOs), program managers, and engineering leads to deliver decision-ready risk briefings and ATO recommendations. Provide technical input and oversight for cybersecurity engineering and penetration testing activities across prototype projects. Required Qualifications Active Top Secret security clearance Current DoD 8570/8140 IAM Level II or Level III certification (e.g., Security+, CySA+, CISM, CISSP, CCISO, CAP/CISC) 5-7+ years of experience conducting security control assessments, compliance testing, or A&A/RMF activities for DoD or federal information systems Solid operational understanding of core AWS cloud services (EC2, S3, IAM, VPCs, Security Groups, Security Hub) and how security controls function within cloud-native and CI/CD pipeline environments. Experience with GitLab CI/CD (pipeline design, runners, artifact management) and AWS Cloud services (EC2, VPC, IAM, S3). Strong working knowledge of NIST SP 800-53 (Rev. 4/5), NIST SP 800-37 (RMF), DoD Cloud Computing SRG, and FedRAMP baselines. Demonstrated experience writing and evaluating core RMF artifacts (SSPs, SAPs, SARs, POA&Ms) Exceptional written and verbal communication skills, with the ability to articulate technical risk clearly to executive stakeholders, Authorizing Officials, and engineering teams. Hands-on experience navigating government GRC repositories, such as eMASS or XACTA. Desired Qualifications Hands-on experience mapping security controls to the NIST AI Risk Management Framework (AI RMF), the OWASP Top 10 for LLM Applications, or the DoD Responsible AI (RAI) Guidelines. Familiarity evaluating secure design patterns for autonomous AI Agents (e.g., tool-calling permissions, sandboxing agent execution environments, prompt boundaries, and ReAct/LangGraph architectures). Experience assessing cloud-managed AI ecosystems and foundation model platforms (e.g., AWS Bedrock, AWS SageMaker, Hugging Face Enterprise, or self-hosted open-source models). Understanding of data protection, access controls, and boundary security for RAG pipelines and vector databases (e.g., OpenSearch Vector Engine, Pinecone, Milvus, or PostgreSQL pgvector). Familiarity evaluating risks unique to LLMs-including prompt injection, data poisoning, model inversion, insecure output handling, and open-source supply chain vulnerabilities in AI libraries (PyTorch, LangChain, LlamaIndex). Exposure to LLM guardrail platforms, evaluation frameworks, or AI security tools (e.g., Promptfoo, Garak, Giskard, NeMo Guardrails) used to test model robustness and output safety. Experience with cATO methodologies, Infrastructure as Code (IaC) templates (Terraform, CloudFormation), and container security (AWS EKS/ECS, Docker). Active AWS Certifications (e.g., AWS Certified Security - Specialty or AWS Certified Solutions Architect). Background or familiarity with offensive security, penetration testing The salary range for this position is estimated to be between $135,000.00 - $160,000.00, commensurate on experience and technical skillset. We are proud to be an EEO/AA employer Minorities/Women/Veterans/Disabled and other protected categories. In compliance with federal law, all persons hired will be required to verify identity, confirm US Citizenship, and complete the required employment eligibility verification upon hire. We are strictly looking for direct, full-time W2 employees. We do not engage with third-party staffing agencies, C2C, or 1099 independent contractors for this role.