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We are seeking a highly motivated and experienced AI Consultant with a proven background in AI adoption to join our AI Center of Excellence (AI COE). This position is ideal for a senior, hands-on candidate who advises customers on how to apply AI to their business, turns that advice into working results, and reports to the AI COE Lead. The role supports Client business domains, primarily in an advisory capacity, across Security (enterprise security and cybersecurity), Manufacturing, Infrastructure (build and operations), and Connected Services, with Security having the highest demand for support, followed by Manufacturing. The successful candidate will use a strong technical background to run proofs of concept (POCs) and product evaluations hands-on, and translate the results into clear recommendations, while project delivery remains owned by the Delivery Teams. Essential Functions: Description / Essential Functions: AI Advisory Advise customers and domain teams on AI adoption, from identifying and prioritizing use cases to defining roadmaps, governance and success measures. Analyze customer business processes end to end, identify where AI and automation deliver measurable value, and build the business case (ROI, cost/benefit). Lead workshops and executive briefings, and present recommendations to senior customer stakeholders. Advise on responsible and secure AI adoption, including data protection, access control and AI-specific risks such as prompt injection and data leakage. Domain Support Security (highest demand): Prioritize AI adoption for patch management and system hardening, while also advancing AI-assisted security operations such as playbook automation, incident response and investigation. Manufacturing: Shape AI use cases around factory production processes and IoT/OT data, such as predictive maintenance, quality inspection and anomaly detection. Infrastructure: Support AI use cases in infrastructure build and operations as demand arises. Connected Services: Support AI use cases in connected services as demand arises. Hands-on POC and Product Evaluation Plan, build and run POCs, including scope, success criteria, test scenarios and evaluation reports. Lead hands-on evaluations of AI and automation products and platforms (for example, Tines for security workflow automation and Ignition for industrial/OT data), and deliver objective fit/gap findings and go/no-go recommendations. Design solution architectures for AI, GenAI and AI Agent solutions on Microsoft Azure or AWS, and provide technical input to proposals, POC plans and SoWs. Knowledge Assets and Partners Capture reusable assets such as use cases, reference architectures, evaluation reports, and demo/POC materials for horizontal deployment across domains and customers. Coordinate with external partners (cloud providers, AI and security vendors, system integrators) on joint demos, POCs and validations. Requirements Minimum qualification: Required Education & Experience: Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience. 8+ years of experience in IT consulting, solution architecture, or related technical roles, including at least 3 years of hands-on experience delivering AI, GenAI or intelligent automation solutions in production or customer POCs. Proven experience advising customers on AI adoption (use case identification, business case, roadmap and governance), credible with both business and executive stakeholders. Strong hands-on technical skills in GenAI and AI Agent technologies (for example, LLMs, RAG, prompt engineering, agent orchestration, Power Platform/Copilot Studio) and in cloud AI services on Microsoft Azure or AWS. Proven track record of running POCs and product evaluations hands-on, from planning through final recommendation. Experience applying technology or AI in at least one of Client focus domains, with enterprise security or cybersecurity strongly preferred and manufacturing as the next priority. Business-analyst capability: experience mapping end-to-end business processes and identifying where AI and automation pay off. Excellent communication, facilitation and presentation skills, and the ability to work independently in cross-functional, multicultural teams. (Candidate would be disqualified if they do not meet these requirements) Preferred Qualifications: Security domain experience, such as SOC operations, incident response, SIEM/XDR (for example, Microsoft Sentinel, Microsoft Defender or Splunk) and SOAR or security automation platforms such as Tines. Manufacturing domain experience, such as factory production processes (production, quality, maintenance, MES), IoT/OT data, and platforms such as Ignition or SCADA. Experience in infrastructure build and operations. Experience with connected services. Experience with AI Agent frameworks and protocols (for example, Semantic Kernel, LangChain/LangGraph, AutoGen or MCP) and AI platforms such as Azure AI Foundry, Azure OpenAI or Amazon Bedrock. Experience applying AI across the software development lifecycle (SDLC), including Requirements, Architecture, Story Creation, Development, and QEA Execution. Relevant certifications, such as Microsoft Azure AI Engineer, AWS Certified Machine Learning Engineer, AWS Certified Generative AI Developer, AWS Certified Data Engineer, CompTIA Security+, CISSP or CBAP. Experience working with Japanese companies or in a global, bilingual environment. Position Type/Expected Hours of Work: Hybrid work environment (2 days per week in the office). Contract-to-hire position. Occasional evening and weekend work may be required as job duties demand. Working hours are Monday Friday from 9AM 6PM. Travel: This position requires up to 10-20% travel.

At Credit Acceptance, we are building on the foundation of a successful business while investing in the future through technology, data, AI, and continuous improvement. As we continue to evolve, our Team Members play an active role in improving experiences, driving meaningful change, and shaping the future of our business. We foster an environment where people are empowered to contribute ideas, develop their careers, make an impact, and help lead our continued transformation. Our Engineering teams are helping shape the future of Credit Acceptance through innovation. Team Members collaborate across the organization to solve complex challenges, build impactful solutions, challenge the status quo, and support informed business decisions. We value curiosity, continuous learning, and new ideas from people who are passionate about driving modernization and meaningful business impact. Dealers and customers trust Credit Acceptance with their financial data. Regulators expect us to prove that trust is earned. As the Vice President, Engineering - Security, Compliance and Trust (CISO), you will own how Credit Acceptance stays secure and compliant as we move to the cloud and put AI agents to work across the business. You will set the security strategy, lead the team that delivers it, and report on it to executive leadership and the Board. You are the company's designated CISO for regulatory purposes. You report to the CTO and have direct access to the Audit Committee, including a private session at least once a year. You will lead a team across security operations, security engineering (application, cloud, identity and AI security) and governance, risk and compliance. You will work closely with Engineering, Legal, Risk and Fraud so the secure path is also the fast path. Agents are a new kind of actor in our environment. They have their own identities and make their own decisions. You will own the controls and evidence that let us adopt them quickly and keep the trust of our customers and regulators. Hybrid from Southfield, MI; Bellevue, WA; or the San Francisco Bay Area. Outcomes and Activities Own the enterprise information security strategy, tied to business goals, regulatory requirements and Engineering's AI and modernization plans. Own security for the move from on-premises data centers to AWS. Every workload lands in a secure, standard landing zone, and we modernize or retire legacy technology. Lead vulnerability and exposure operations. Critical findings are fixed in hours, with AI-assisted prioritization and a person accountable for every decision. Own identity and privileged access for people, services and agents. Own data protection and privacy: classification, handling standards and controls on where sensitive data can go. Review privacy engineering with product and engineering teams so privacy-by-design holds across the product lifecycle, including how AI systems use and keep data. Manage third-party and vendor cyber risk, from due diligence through ongoing monitoring, including security service providers, auditors and penetration testers. Any partner that builds or runs AI for us meets the same controls as our own teams. Lead threat detection and incident response, including playbooks for compromised or misbehaving agents and executive tabletop exercises. Defend against AI-enabled attacks such as deepfake impersonation and synthetic identity fraud, with our fraud and operations teams. Define how AI agents are secured, with Engineering's architecture and platform leaders. Each agent is a first-class identity with least-privilege access. Govern how agents call tools and data, including Model Context Protocol servers, and set policy for what an agent may decide and what stays with a person. Test AI systems and agents before release and continuously in production for prompt injection, tool misuse and data exfiltration. Every agent has an audit trail and can be suspended. Keep a living inventory of AI systems, agents and the AI features inside the tools we buy, including unsanctioned use. Set acceptable-use, data-handling and third-party AI standards aligned to NIST AI RMF and ISO/IEC 42001. Build security into how software is specified, generated, tested and deployed, including AI-assisted development. Automated gates replace manual reviews. Lead compliance with the obligations of a public consumer lender: GLBA, NYDFS Part 500, SOX IT general controls, PCI DSS, state privacy laws and SEC cybersecurity disclosure. That includes audit and examiner response, and systems that produce evidence automatically, down to a record an examiner can follow of what an agent saw and what it changed. Report to the Board: regular updates, the annual NYDFS Part 500 CISO report to the Board and the annual NYDFS certification, using a small set of metrics that drive decisions. Lead the Company's Information Security Compliance Committee, which meets at least quarterly with the Company's Executive Leadership Team. Build and develop the security team: hiring, developing people, building the skills to secure and use AI, and a security-aware culture across Engineering and the business. Competencies Customer Empathy: Customer Empathy is the ability to understand the perspectives, pain points, and experiences of customers. It involves actively putting oneself in the customer's shoes, comprehending their needs and challenges, and using that understanding to provide a better, more customer-centric experience. Engineering Excellence: Engineering Excellence is about bringing great craftsmanship and thought leadership to deliver an outstanding product that delights customers and solves for the business. This involves the pursuit and achievement of high standards, best practices, innovation, and superior solutions. One Team: A One Team mindset refers to a collaborative approach across the organization, where individuals work together seamlessly, without boundaries, as a single, cohesive team. Shared goals, open communication and mutual support create a sense of collective purpose. This enables teams to navigate challenges and pursue shared objectives more effectively. Owner's Mindset: Owner's Mindset involves adopting a set of behaviors that reflect a sense of responsibility, accountability, strategic thinking, and a proactive approach to managing your domain. As an owner, you understand the business and your domain(s) deeply and solve for the right outcome for the domain(s) and the business. Requirements Bachelor's degree (computer science or a related field preferred). 10+ years in information security, compliance or a related field. 10+ years leading an information security, compliance or risk team. Regulatory compliance experience in financial services, such as GLBA, NYDFS Part 500, SOX and PCI DSS. Experience leading business continuity and cyber incident response, including executive tabletop exercises and response to a significant incident. Strong familiarity with NIST CSF, ISO 27001/27002 and SOC 2. Strong knowledge of security architecture for cloud-native environments: identity and access management, encryption, network and endpoint controls and vulnerability management. Experience building security into CI/CD and software delivery. Practical experience securing AI-enabled systems or AI-assisted development in production, including identity and access, data protection and testing. Experience reporting security and risk to executive leadership and a Board. Preferred Master's degree. Financial services, fintech or consumer lending experience. AWS and Databricks security at production scale, including securing a migration from on-premises infrastructure. Agentic AI in production: agent identity, governed tool access such as Model Context Protocol, runtime controls and agent-specific incident response. AI-assisted detection, triage and response in a security operations center, with human oversight. SEC cybersecurity disclosure experience as the security leader of a public company. Risk assessment for AI systems and third-party AI vendors. CISSP, CISM or an equivalent security certification. Knowledge and Skills Architecture: Ability to design security architecture that is built in by default and enforced through automation, not manual review. AI and Agent Security: Working knowledge of how agents are attacked and how they fail (prompt injection, tool misuse, identity and privilege abuse, memory poisoning) and the controls that contain them, drawing on the OWASP Top 10 for Agentic Applications, NIST AI RMF and ISO/IEC 42001. Risk Judgment: Ability to weigh security risk against business value, decide what an agent or a team may do on its own, and explain the tradeoff and the evidence plainly. Holds the higher bar and says so. Executive Communication: Ability to turn technical and AI risk into clear decisions for executives and the Board. Leadership and Influence: Ability to build a strong team, challenge the status quo, and earn trust across Engineering, Legal, Compliance, Risk and the business without relying on authority. Target Compensation: This position offers a competitive base salary, with a range of $300,000 - $400,000. This position is eligible for equity and annual cash bonuses. Final compensation within the range is influenced by many factors including assigned hub location, role-specific skills, depth and experience level, industry background, relevant education and certifications. This position follows a hybrid work model, offering two work-from-home days and three standard in-office days each week with the team and key stakeholders at a local office. INDENGLP Benefits Excellent benefits package that includes 401(K) match, adoption assistance, parental leave, tuition reimbursement, comprehensive medical/ dental/vision and many nonstandard benefits that make us a Great Place to Work Our Company Values: To be successful in this role . click apply for full job details

DCS has an exciting opportunity for an Equipment Specialist providing support to the Air Force Life Cycle Management Center/Airborne Warning and Control System (AFLCMC/HBS/WIW). The Airborne Warning and Control System (AWACS) Division, has the collective Air Force Materiel Command (AFMC) mission responsibility to deliver airborne Battle Management Command & Control (BMC2) capabilities that support joint, allied, coalition, humanitarian, and homeland defense operations. Modernization efforts enable continued involvement with worldwide operations by revitalizing legacy mission systems, replacing aging computer architectures, integrating multi sensor data fusion, and improving global expeditionary readiness and availability. Additionally, the Division assists in the planned divestiture of the E 3 platform and in shaping development of follow on capabilities for future airborne C2 systems. This is a full time Hybrid position located at Tinker AFB, OK. Position Contingent Upon Contract Award Essential Job Functions: Duties include, but not limited to: Review and recommend changes to program-unique specifications to include system specifications, development specifications, and product specifications for both hardware and software, for proper format, content, and compliance with program requirements and standards Maintain a current drawing package for all modifications and ensuring the latest version of drawings are on file Ship and transmit drawing packages and their revisions Provide technical support and analysis on field, depot and modification program issues Prepare or assist with preparation of Time Compliance Technical Orders (TCTOs) to support configuration changes and inspections Support execution of CCB and subordinate board (e.g. Technical Review Board) directives by partnering with the Technical Content Managers to manage the publication and distribution of technical order changes Support engineering plans and OSS&E baselines by performing configuration management tasks (including management of DRs, AFTO 22s, and AFTO 252s) Produce monthly DR, AFTO 22, and AFTO 252 performance metrics Support the configuration control function to include receipt, dissemination, processing, tracking, and providing recommendation for the final disposition of Advanced Change Study Notices, ECPs, Requests for Deviation/Request for Waiver, Deficiency Reports (DRs), Airworthiness Directive Notes, Service Actions, Service Bulletins, Aircraft Service Changes, Notices of Deficiency, and Quality Control Plans (QCPs) Review change proposals management impacts, and compliance with Government requirements; provide recommendations for Government review and disposition and assist in the preparation and conduct of CCB and related subordinate boards; and assist in maintaining change proposal files and providing historical information Attend and support FCAs, PCAs, and Compliance Audits, to include auditing hardware and software Configuration Items (CIs), disposition and tracking of action items and assist with preparation of the minutes Assist with TIMs and the preparation of minutes from the meetings Assist and execute transition to a digital technical order system Monitor modification parts listings to identify items not loaded in the National Stock Number (NSN) system Process non-stock listed items into the Defense Logistics Agency (DLA) system. Monitor and process parts lists utilized under contractor logistics support for provisioning and configuration management planning and documentation Assist with the development of drawing packages, system-specific and standard, in support of CM Access system data within various sources/tools (e.g. Rockwell-Collins Inc Blazer, Integrated Maintenance Database System, HFGCS securities and tools Communications Control Management System to assist in development of OSS&E reporting data and documentation Provide input to the Technical Order Life Cycle Management Plan Maintain Government Furnished Equipment (GFE) inventory lists to include physical inventory as required Perform or assist in performing technical order validation/verification Provide technical maintenance and technical order support to users; regularly by telephone, e-mail, and local meetings or irregularly by direct field-support Assist Technical Orders Management Agency (TOMA) with cataloging and tracking of technical orders Develop methods, plans, feedback (control) requirements to meet program objectives for Technical Order (TO) management Assist in the completion of supporting documents to include Form 873, TCTO Requirement; Form 874, TCTO Supply Data Requirements; and Form 875, TCTO Programming Document; and coordination sheet Support establishment, coordination, documentation and justification of TO data requirements Provide integrated logistics support to include: provisioning and source coding, maintenance data collection, validation of technical orders, configuration management data, analysis and evaluation of quality deficiency reports, and/or identification of alternate sources of supply for diminishing manufacturing/ materiel sources Review and provide feedback to the Government on effectiveness and efficiency of Combat & Mission Support Systems and maintenance management, as well as the need for improvement of existing Range Systems practices that impact the overall program acquisition and sustainment Evaluate Air Force directives to ensure adherence to Government and Air Force standard methods, conformity in maintenance and equipment procedures while ensuring the proper use of Combat & Mission Support Systems, facilities, and support personnel Provide direct support to various IPTs to perform research on material pertaining to Branch maintenance and equipment management Conduct Logistics Supportability Analysis of Illustrated Parts Breakdowns to assure adequate piece part availability to support Shop Replaceable Unit (SRU) & Line Replaceable Unit (LRU) repair capability Maintain system Baselines to current fielded configurations when initiating parts and/or supplier information to include CAGE codes for part substitutions Utilize Government provided computer software programs to identify errors, equipment, non-mission capable time, and to recommend a course of action to improve readiness Support integrated logistics support efforts, provisioning and source coding, maintenance data collection, technical order management, configuration management, analysis of AFTO Form 22s, preparation of AFTO Form 252s, evaluation of quality deficiency reports, and/or identification of alternate sources of supply for diminishing manufacturing/materiel sources preferred Required skills may also include but not be limited to:Range systems background, or related experience with radar and/or other electronics systems at the system, subsystem or commodity level during all phases of program Travel: 20% (Hanscom, Seattle) Position Contingent Upon Contract Award Required Skills: Due to the sensitivity of customer related requirements, U.S. Citizenship is required. Bachelor's Degree in a related field and 3 years of experience in the respective technical/professional discipline being performed, 3 of which must be in the DoD OR 7 years of directly related experience, 5 of which must be in the DoD. Must hold an active Secret clearance Desired Skills: Technical Skill Provide technical support and analysis on field, depot, and modification program issues, ensuring systems are evaluated and maintained effectively. Prepare or assist with Time Compliance Technical Orders (TCTOs) to support configuration changes and inspections. Review and recommend updates to program unique specifications (system, development, and product specifications for HW/SW) to ensure proper format, content, and compliance with program standards. Maintain accurate and current drawing packages for all modifications, ensuring the latest versions are tracked, stored, and accessible. Ship, transmit, and manage drawing package revisions to support modification workflows and engineering documentation control. Apply configuration management principles (including DRs, AFTO forms, and CM policies) in accordance with AFMC and DoD guidance during sustainment and acquisition support activities. Use Microsoft Office Suite to generate documentation, technical reports, data packages, and communications supporting equipment sustainment and engineering reviews. Interpersonal Skills Strong communication skills for coordinating with engineers, sustainment personnel, and program managers across HBS and broader AFLCMC/HB organizations. Self starter capable of independently managing documentation, CM activities, and support actions with minimal oversight. Effective team collaborator supporting cross functional engineering, logistics, and configuration management stakeholders. Demonstrated problem solving ability applied to configuration issues, technical discrepancies, and sustainment challenges. Reliable time management skills ensuring timely processing of TCTOs, drawing updates, and technical data reviews.

Job Description Job Description Requisition Name: Security Architect - Consultant - SIEM Engineer Work Address - Remote Work - 100% Remote. Preference will be given to local candidates who can come to the office as needed for client and departmental meetings, trainings, and other onsite activities.). Duration of the Contract: 12 Months Possibility for Extension: Yes Security Architect - Consultant - SIEM Engineer Daily Duties and Responsibilities This position is 100% remote and participates in a monthly on-call rotation supporting a 24x7 Security Operations Center serving multiple state agencies. Additional after-hours work may be required as needed. Enterprise SIEM and XDR Primarily assist in the planning, design, deployment, administration, and operational support of enterprise SIEM and XDR capabilities, including: Palo Alto Cortex XSIAM and Cortex XDR platform engineering, configuration, optimization, and troubleshooting Multi-tenant agency onboarding, tenant-specific configuration, role-based access, data segregation, dashboards, and reporting Detection engineering, correlation rules, analytics, threat-hunting queries, watchlists, suppression logic, and false-positive reduction Log Management and Security Data Pipelines Secondarily assist in the planning, design, deployment, and operational support of log management and security data pipelines, including: Cribl data modeling, log pipeline design, routing, parsing, normalization, enrichment, filtering, replay, and ingestion Onboarding and health monitoring of cloud, endpoint, network, identity, SaaS, and custom application telemetry Log volume, retention, performance, and cost optimization while maintaining security and compliance requirements Integrations with ticketing, case management, notification, identity, threat intelligence, and other enterprise systems as needed Additional Responsibilities Develop, test, deploy, and maintain automated response workflows and playbooks for enrichment, triage, containment, escalation, notifications, case management, and incident response. Create and maintain operational runbooks, standard operating procedures, escalation matrices, troubleshooting guides, architecture diagrams, data-flow documentation, use-case catalogs, and analyst knowledge articles. Support Tier 1 through Tier 3 SOC analysts and incident responders through platform troubleshooting, detection tuning, threat hunting, technical escalation, knowledge transfer, and shift handoffs. Monitor and report on ingestion health, platform availability, alert volumes, detection coverage, false positives, service levels, mean time to detect, mean time to respond, and tenant-specific operational metrics. Ensure high availability, resilience, backup, recovery, lifecycle management, and controlled change processes for SIEM, XDR, and supporting log pipeline services. Collaborate with security architects, engineers, analysts, and agency stakeholders to align solutions with business goals, industry-standard frameworks, regulatory requirements, and organizational risk tolerance. Required Skills (Ranked in Order of Importance) Hands-on Palo Alto Cortex XSIAM and Cortex XDR design, implementation, administration, and operational support. Experience engineering and supporting SIEM capabilities for multi-tenant environments and 24x7 Security Operations Center operations. Experience developing and tuning detections, correlation rules, analytics, threat-hunting queries, dashboards, reporting, and alert suppression logic. Strong experience creating and managing complex playbooks. Cribl data modeling, log pipeline design, parsing, normalization, enrichment, routing, and ingestion. Experience developing automation, integrations, playbooks, and response workflows using scripting languages such as Python and Bash. Experience onboarding and troubleshooting telemetry from cloud, endpoint, network, identity, SaaS, Linux, Windows, and custom application sources. Strong understanding of enterprise security architecture, incident response, networking, access control, secure system design, and industry-standard cybersecurity frameworks. Preferred Skills (Ranked in Order of Importance) Hands-on experience operating Cortex XSIAM and Cortex XDR in a large, multi-tenant environment. Hands-on Cribl administration, data modeling, and log pipeline optimization experience. Experience supporting Tier 1 through Tier 3 SOC analysts, threat hunting, incident response, and 24x7 operational handoffs. Familiarity with industry-standard security and compliance frameworks and experience developing playbooks, runbooks, procedures, and technical documentation. Required Education and Certifications Bachelor's degree in an Information Technology or Information Security-related field. Eight years of relevant work experience may be substituted in lieu of education. Five years of experience supporting large IT environments and/or system deployments. Preferred Education and Certifications CISSP, Security+, or GIAC certification. Palo Alto Cortex, Cribl, or other relevant SIEM/security platform certification.

Job Description Job Description COMPANY OVERVIEW XCEL Engineering, Inc. is an award-winning small business that provides trusted information technology, engineering, consulting and project management solutions and services to federal agencies and organizations. Originally founded in 1971 by professional engineers at the University of Tennessee, XCEL was acquired in 2003 by U.S. Army and Navy veterans and in 2023 became a MartinFed company. XCEL Engineering is a part of IT Lab Partners (ITLP) which was created to support a leading research facility in the East Tennessee region in recruiting the best and the brightest technical talent. Considering joining our impressive team today! JOB OVERVIEW We are seeking a highly skilled and experienced Senior Cybersecurity Engineer - Vulnerability & Security Monitoring to support enterprise cybersecurity operations across complex, mission-critical computing environments. This position is responsible for administering, maintaining, and enhancing enterprise vulnerability management, security monitoring, and event logging capabilities to ensure the confidentiality, integrity, and availability of information systems. The ideal candidate will bring extensive hands-on experience with Tenable Security Center, enterprise SIEM platforms, vulnerability assessment, log management, and security automation, along with a strong understanding of federal cybersecurity requirements. This role requires a technically proficient engineer capable of troubleshooting complex security technologies, analyzing vulnerabilities and security events, developing automated solutions, and collaborating with cross-functional teams to strengthen the organization's overall security posture across classified and unclassified environments. ESSENTIAL FUNCTIONS Vulnerability Management & Assessment Administer, configure, maintain, and optimize enterprise vulnerability management platforms, primarily Tenable Security Center (Tenable.sc). Manage vulnerability scanning infrastructure, including scanner deployment, scan policies, scheduling, credential management, plugin updates, and operational troubleshooting. Conduct comprehensive vulnerability assessments across diverse enterprise computing environments, including servers, networks, applications, and infrastructure systems. Analyze vulnerability scan results to validate findings, identify false positives, assess severity, and prioritize remediation efforts based on risk and operational impact. Troubleshoot failed scans, scanner connectivity issues, credential failures, performance limitations, and detection anomalies. Collaborate with system administrators, infrastructure teams, and security personnel to develop remediation strategies, track vulnerabilities, and verify corrective actions. Engage directly with vendors, including Tenable, to resolve technical issues, investigate inaccurate findings, and validate software updates or detection improvements. Develop vulnerability reports, dashboards, and metrics to communicate security risks, remediation progress, and overall program effectiveness. Security Information & Event Management (SIEM) / Logging Administer, configure, maintain, and enhance enterprise SIEM and centralized security logging platforms. Design, implement, and troubleshoot log collection architectures, event collectors, processing pipelines, indexing systems, and data ingestion workflows. Develop and maintain ETL (Extract, Transform, Load) processes to collect, normalize, transform, and integrate security event data from multiple enterprise sources. Integrate logs from operating systems, network devices, applications, security tools, and infrastructure platforms to improve enterprise security visibility. Monitor and troubleshoot log ingestion failures, parsing errors, data quality issues, and system performance concerns. Collaborate with system owners and cybersecurity teams to ensure logging and auditing practices align with NIST SP 800-53 Audit and Accountability (AU) controls across multiple classified enclaves. Identify gaps in logging coverage and implement enhancements to improve threat detection, incident investigation, and security monitoring. Develop and optimize security event searches, correlation rules, dashboards, and reporting capabilities to support threat hunting and incident response. Coordinate with software and technology vendors to resolve SIEM platform issues and improve logging capabilities. Required Qualifications: Bachelor's degree in Cybersecurity, Computer Science, Information Technology, Information Systems, Engineering, or a related technical discipline, or an equivalent combination of education and relevant experience. Significant professional experience in cybersecurity engineering, vulnerability management, security monitoring, or enterprise security operations. Demonstrated hands-on experience administering and troubleshooting Tenable Security Center (Tenable.sc) or comparable enterprise vulnerability management platforms. Strong understanding of vulnerability scanning methodologies, credentialed scanning, vulnerability validation, risk assessment, and remediation processes. Hands-on experience administering, configuring, or supporting enterprise SIEM and centralized logging solutions. Experience with log collection, ingestion pipelines, event processing, indexing, parsing, and security event analysis. Knowledge of ETL processes, data integration, and security log normalization. Experience supporting security monitoring, incident response, threat analysis, or security investigations. Familiarity with NIST SP 800-53, particularly Audit and Accountability (AU) controls, and federal cybersecurity compliance requirements. Experience troubleshooting complex technical issues across enterprise operating systems, networks, applications, and security technologies. Ability to develop or maintain scripts and automated workflows using Python, PowerShell, Bash, or similar scripting languages. Strong analytical, problem-solving, technical documentation, and communication skills. Ability to work effectively with multidisciplinary technical teams and communicate cybersecurity risks to stakeholders. Preferred Qualifications: US Citizen with an active Department of Defense (DoD) TS, Department of Energy (DOE) Q security clearance or equivalent. Bachelors degree in computer science, information assurance or related technical field with 7+ years of relevant experience. Experience supporting cybersecurity operations within Department of Defense (DoD), Department of Energy (DOE), or other federal government environments. Experience working within classified computing environments or multiple security enclaves. Advanced knowledge of Tenable Security Center, Nessus scanners, scan policy development, and vulnerability reporting. Experience with enterprise SIEM platforms such as Splunk, Elastic Security, IBM QRadar, or similar technologies. Experience designing or maintaining custom log ingestion pipelines, data transformations, and automated security workflows. Familiarity with Linux and Windows system administration, enterprise networking, and infrastructure security. Experience with security automation, REST APIs, system integrations, and scripting. Knowledge of NIST Risk Management Framework (RMF), continuous monitoring, and federal information security requirements. Experience supporting threat hunting, detection engineering, security analytics, or incident response activities. Relevant industry certifications such as CompTIA Security+, CySA+, CASP+/SecurityX, CISSP, GIAC, or equivalent cybersecurity credentials. PHYSICAL REQUIREMENTS & ENVIRONMENTAL CONDITIONS Inside office environment. Working on a computer for long periods of time. May involve long period of sitting at a desk. OTHER DUTIES 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. Xcel Engineering is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regards to race, color, religion, religious creed, gender, sexual orientation, gender identity, gender expression, transgender, pregnancy, marital status, national origin, ancestry, citizenship status, age, disability, protected Veteran Status, genetics or any other characteristics protected by applicable federal, state or local law. If you are a qualified individual with a disability or disabled veteran, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access Xcel Engineering's current openings as a result of your disability. You can request reasonable accommodations by calling . Thank you for your interest in Xcel Engineering. All positions at Xcel Engineering, Inc. are contingent upon passing both a background check and drug screening prior to a start date and are subject to random drug screenings during the employment period. In addition, Xcel Engineering is an E-Verify employer. Job Posted by ApplicantPro

Job Description Job Description Job Title: Infrastructure Engineer Staff Location: Bridgman, MI Work Model: Onsite POSITION OVERVIEW Working independently, responsibilities include the following related to Computer, Network, Storage, Cloud and End-User infrastructure: Perform infrastructure project assignments. Plan, research, evaluate and design infrastructure solutions. WHAT YOU WILL BE DOING Firewall planning, configuration, installation and maintenance for Cisco ASA, Fortigate firewalls and FTD's Participate in a rotating on-call schedule to provide 24x7 support. Develop and plan network incident resolution, configuration audit and updates, as well as vulnerability remediations. Provide a high level of technical support and analysis, operation, administration, and troubleshooting activities. Adhere to client's approval processes as part of change management, incident management and trouble response scenarios. Prepare cost estimates, justifications, application requirements, alternative solutions, and technical recommendations. Prepare technical documentation including procedures, manuals, and reports. Review and adhere to budgeting and approval processes while assisting with annual and project planning. May provide training and mentoring, as well as work direction, to others on the team. WHAT'S NEEDED Seven years in direct support of Network Operations in a large enterprise environment, preferably within the utility or energy sector. ServiceNow or similar ITIL experience is a plus. An advanced understanding of network communications technologies and an demonstrate the ability to analyze, troubleshoot, coordinate and resolve complex network issues and projects. Proficiency in networking protocols (TCP/IP, DNS, DHCP) Strong knowledge and experience with IPAM-DDI solutions Knowledge of network security practices Experience with configuring and support with hardware (routers, switches, firewalls) Experience with network monitoring tools (Splunk, Solarwinds) Knowledge in routing and switching protocol, WAN technologies including MPLS, Point to Point, MAN and Wireless; LAN technologies including LAN design standards and best practices, Data Center network Design and Wireless solutions; and security standards with firewall, design and best practices Experience in Unix/Linux Excellent communication skills, both written and oral, with the ability to clearly communicate complex findings and present them to ensure audience appeal at various levels of the organization and with clients Licenses/Certifications: Cisco CCNA/CCNP COMPENSATION & BENEFITS Medical, dental, and vision insurance 401(k) Other standard benefits as applicable Distribution List: IT/Technical ABOUT UNICON UNICON is a workforce solutions provider with over 35 years of experience supporting organizations across a variety of industries. We partner with our clients to deliver skilled professionals while maintaining a strong focus on quality, compliance, and long-term relationships. UNICON is an equal opportunity employer, and 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.

Job Description Job Description Senior System Engineer Huntsville, AL Pay From: $160k MUST: Experienced Senior System Engineer TS/SCI clearance required with ability to obtain Poly 10 years of experience required if no degree, 5 years of experience if bachelors degree Configure and monitor systems/servers utilizing Remote Server Administrative Tools (RSAT), Windows Admin Center and Azure Arc Develop cloud (examples: Azure, AWS) infrastructure systems Develop on premise cloud (examples: Azure, AWS, OpenStack) infrastructure systems Add, configure, and manage Roles and Features on Microsoft Server (current Version) Configure and monitor systems/servers utilizing Failover Cluster Manager tools Developing tools based on raw engineering work products and parsing of database structured data. Leading system/server development projects involving multiple developers, as well as experience in generating requirements documentation. Develop processes to validate performance metrics of systems. Use available COTS/GOTS software as applicable. Systems/Equipment Installation and Implementation to include installation, configuration, implementation, and validation of installation of components. Author and utilize scripting languages, mainly but not limited to PowerShell, to automate tedious, repetitive, and/or error prone tasks related to installation, configuration, and management of IT systems and services DUTIES: The SSE shall plan, direct, and, if necessary, conduct regular, special, and integrated system test programs on virtualization equipment. The SSE shall prepare and conduct special reports and presentations that contain actionable information, which is pertinent to individual site operations. The SSE shall conduct integrated equipment system test. The SSE shall plan, prepare and conduct on the job training to junior as required. The SSE shall coordinate with other field engineers to the benefit of the unit. The SSE shall support the unit with other duties as assigned within the scope of work. The SSE should have a proven ability to protype new solutions to IT challenges and optimize existing systems in light of new technologies that come to market. Quadrant is an affirmative action/equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, status as a protected veteran, or status as an individual with a disability. Healthcare benefits are offered to all eligible employees according to compliance mandated by the Affordable Care Act .

Job Description Job Description About the Role This role sits at the center of a high-stakes inference platform, responsible for designing, operating, and scaling the production serving layer that delivers large language model outputs to real customers at global scale. The work spans multi-cloud Kubernetes operations, GPU systems debugging, observability infrastructure, and reliability engineering, all in service of keeping latency-sensitive AI workloads fast and available around the clock. The right person is already operating at staff scope in an IC infrastructure role and brings direct, day-to-day hands-on experience running LLM inference systems in production. You know Kubernetes at scale across AWS and GCP, you can debug NVIDIA GPU systems from driver to network fabric, and you have real familiarity with at least one major inference serving framework. Experience with heterogeneous accelerator fleets or open-source inference contributions is a genuine plus, not just a checkbox. Key Responsibilities Design, operate, and scale highly available Kubernetes clusters across AWS, GCP, and specialized GPU cloud providers to serve global inference demand at 1,000+ tokens per second Own the production serving layer end-to-end, debugging NVIDIA systems including drivers, CUDA, NCCL, node health, and network fabric Partner closely with the model optimization team to ensure kernel-level speed improvements hold up against real traffic, real hardware, and real customers Extend deployment tooling so models ship consistently across NVIDIA, Trainium, and TPU hosts through a unified workflow Build and maintain observability infrastructure tracking time-to-first-token, inter-token latency, throughput, and availability per model, per chip, and per region Own reliability engineering including alerting, automated failover, self-healing infrastructure, and intelligent traffic routing across models, chips, and regions Required Skills & Experience 5+ years of infrastructure engineering experience, currently operating at staff level or above in an IC role Direct, hands-on inference infrastructure experience as a core part of daily work (not inference-adjacent data engineering or general-purpose infra) Production Kubernetes at scale across multiple cloud providers, specifically AWS and GCP GPU and accelerator systems expertise: NVIDIA drivers, CUDA, NCCL debugging, and node health Hands-on experience with at least one inference serving framework: vLLM, SGLang, TensorRT-LLM, or NVIDIA Dynamo HPC networking experience: InfiniBand, RDMA/EFA, or MPI Observability and reliability engineering for latency-sensitive services, including metrics pipelines, alerting, and automated failover Preferred Skills Background at a production-scale inference platform such as Fireworks, BaseTen, Nebius, or Anyscale Experience deploying across heterogeneous accelerator fleets including AWS Trainium, Google TPUs, or mixed GPU configurations Contributions to open-source inference frameworks such as vLLM or SGLang Familiarity with PyTorch, JAX, Docker, Terraform, Prometheus, or Grafana

Job Description Job Description Role :- Site Infrastructure Engineer (RCDD) Location :- Santa Clara, CA (Onsite) Note :- TIA-942 knowledge is mandatory and RCDD experience is Must. RCDD certification is not mandatory TIA 942 is the globally adopted ANSI/TIA standard defining minimum requirements for data center telecommunications infrastructure, covering site location, architecture, electrical and mechanical systems, fire safety, security, and redundancy, with the latest revision being ANSI/TIA 942 C published in May 2024. Construction and new builds low-voltage design, program delivery, vendor oversight ROLE SUMMARY Owns the IT infrastructure content of construction and lifecycle projects: new building deployments, network room build-outs, cabling projects, and refresh initiatives. Acts as Client technical authority to Facilities, architects, general contractors, and low-voltage subcontractors reviewing designs, producing specifications, controlling scope and materials, and holding contractors to the standard. This is a design and program-engineering role, not an installation role; execution is performed by contracted trades under this engineer's direction. KEY RESPONSIBILITIES Design and specification Partner with Facilities, Network, AV, Security, and End User Support stakeholders to establish IT requirements for each project at the design stage. Review architectural, electrical, and low-voltage drawings against Client standards; issue formal design comments and track resolution. Produce construction documents, specifications, and installation standards for low-voltage cabling contractors. Define equipment placement within network rooms rack elevations and positions for network gear, security and Client panels, service wall fields, pathway and containment routes. Specify pathway, grounding/bonding, fire-stopping, labelling, and testing requirements in line with TIA/BICSI standards and local code. Program and vendor delivery Develop ROM and BOM for new builds and refreshes; drive procurement of long-lead materials against project milestones. Oversee low-voltage contractors through installation, ensuring work is delivered to design specification and quality standard. Issue Statements of Work and detailed working instructions to vendors; review and validate submittals, RFIs, and change orders. Walk construction projects on a regular cadence and issue written site reports capturing Client feedback, defects, and corrective actions. Manage punch-list closure, acceptance testing, and test-result review (fibre and copper certification) prior to sign-off. Closeout and handover Compile and record close-out documentation as-built drawings, test results, warranty certificates, labelling schedules and hand over to the operations team and end users. Ensure all newly delivered infrastructure is loaded into Netbox/Nautobot and CMDB before project closure. Conduct formal handover walkthroughs so operations inherit a documented, supportable environment. Capture lessons learned and feed improvements back into Client design standards and vendor specifications. Capacity and lifecycle engineering Maintain a forward view of network room capacity available ports, fibre strand counts, PDU outlets, rack units, and power headroom and flag constraints ahead of demand. Plan and scope lifecycle refresh initiatives for cable plant, racks, and power infrastructure. Support regional power shutdown planning from an infrastructure design and risk perspective. REQUIRED SKILLS AND QUALIFICATIONS Bachelor s degree in information technology, Engineering, Construction Management, or a related field, or equivalent experience. 8 years in low-voltage design, telecommunications consulting, IT construction project management, or structured cabling program delivery. RCDD certification (or actively pursuing) this is the core credential for the design and specification scope. Working command of TIA-568/569/606/607, BICSI TDMM practice, NEC low-voltage provisions, and applicable local building and fire code. Ability to read and markup architectural, electrical, and telecom drawings; proficiency with AutoCAD, Revit, or Bluebeam for review and redline. Demonstrated experience directing low-voltage subcontractors and general contractors, including SOW authoring, submittal review, and change-order control. Deep understanding of network room infrastructure racks, containment, grounding, power distribution, cooling, and fibre/copper plant design. Strong written communication; able to produce specifications, site reports, and closeout packages to a professional standard. Comfortable operating with minimal direction in ambiguous, fast-moving construction environments. PREFERRED 10 years of related experience, including delivery of ground-up building or large campus fit-out projects. Additional BICSI credentials (DCDC, OSP, RTPM) or PMP. Experience delivering lab, cleanroom, or high-density compute environments. Proficiency with DCIM/CMDB platforms, and with SQL, Python, or PowerBI/Tableau for capacity and program reporting. Prior experience at a large-scale technology company or hyperscale operator. SERVICE MEASURES Projects delivered to schedule and to design specification, with defects closed before handover. Design reviews completed within agreed turnaround at each project gate. BOM/ROM accuracy against final installed quantities. Complete closeout documentation and CMDB records at every project completion.

Job Description Job Description Indent ID: SF_OP_205310-1-1 Sell Rate: 80/hr Remote / WFO / Hybrid: Remote. Ideally, Central/Mountain/Pacific TZ hours availability 8am onwards. Hire Type (FTE/Contract): Contract Project Duration: 12 Months Expected Start Date: ASAP Platform (Infrastructure) Engineer We are seeking a mid-level Infrastructure Engineer (5 years of relevant experience) to support the build-out of Flexential's enterprise Observability platform. This is a hands-on technical role working alongside Platform Engineering to provision, configure, and maintain the infrastructure underpinning a modern LGTM-based observability stack across 40 data center facilities. Responsibilities Provision and manage virtual infrastructure within VMware VCF/vSphere/vCenter environments supporting the Observability platform • Build and maintain Terraform modules for infrastructure provisioning including VMs, storage, and networking • Develop and maintain Ansible playbooks for OS configuration, service deployment, and environment hardening • Design, deploy, and manage Kubernetes clusters (RKE2 or equivalent) hosting the LGTM stack workloads • Manage Helm chart deployments for Grafana, Mimir, Loki, Tempo, and Prometheus Operator • Build and maintain GitLab CI/CD pipelines and toolchain supporting end-to-end GitOps workflows • Configure and maintain network connectivity for Observability project to all infrastructure and application components including virtualization, LAN, and WAN • Collaborate with the Platform Engineering team to establish standards for Infrastructure-as-Code (IaC), environment promotion, and operational runbooks Required Skills • Python and YAML - 3 years of automation scripting and configuration authoring • Terraform - 3 years writing and maintaining infrastructure modules; experience with vSphere or cloud providers preferred • Ansible - 2 years of playbook development; AWX/automation controller experience preferred • Kubernetes and Helm - 3 years of cluster administration and workload deployment, including day-2 operations • GitLab - 2 years of CI/CD pipeline development and GitOps workflow management • VMware VCF, vSphere, and vCenter - 2 years of hands-on experience required; strong working knowledge of VM lifecycle, resource pools, and storage policies • Linux - 3 years of admin-level proficiency required; systemd, networking, storage, and security hardening • Networking - 2 years working with LAN/WAN, DNS, load balancing, and network virtualization in an enterprise environment Preferred Skills • Any hands-on exposure to LGTM stack technologies (Loki, Grafana, Tempo, Mimir) or OpenTelemetry • Familiarity with AIOps concepts and observability platform operations nincluding ITSM Major incident management workflows and tools • Experience with secrets management tools such as CyberArk, Conjur, or HashiCorp Vault • Experience with Postgres or other RDBMS

Job Description Job Description Job Description: Network and Compute Engineer, AI Infrastructure Position Summary Network and Compute Engineer to design, deploy, validate, and operate high-performance infrastructure supporting enterprise artificial intelligence and accelerated-computing workloads. The engineer will work across compute, networking, operating systems, container orchestration, cluster management, storage integration, security, and observability. The successful candidate will be comfortable working hands-on with complex infrastructure, diagnosing issues across multiple technical layers, and translating platform requirements into reliable and repeatable operational solutions. The role is aligned to an NVIDIA AI Factory environment. The source material specifically covers NVIDIA Mission Control, Base Command Manager, Kubernetes installation, rack management, bare-metal management, observability, Run:ai, MGX architecture, Slurm, GB200 software and firmware, NVLink partitioning, XID troubleshooting, and telemetry. Key Responsibilities Compute and Cluster Engineering Deploy, configure, validate, and operate accelerated-compute clusters. Perform server and cluster bring-up, including operating-system imaging, boot validation, firmware alignment, hardware discovery, and post-deployment health checks. Support NVIDIA MGX-based infrastructure and understand the relationship between hardware architecture, firmware, operating systems, drivers, and the platform software stack. Install and administer Linux-based compute environments. Support Kubernetes installation, configuration, upgrades, and lifecycle operations. Deploy and administer Slurm-based workload environments. Assist with NVIDIA GB200 firmware updates, software-stack validation, sanity checks, and platform readiness testing. Support NVLink configuration and partitioning, where applicable. Troubleshoot GPU and system errors, including XID events, degraded nodes, boot failures, firmware inconsistencies, and workload-performance issues. Develop standardized, repeatable build and validation procedures for compute nodes and clusters. The PDF explicitly identifies MGX architecture and software stack, MGX sanity checks, image creation, Slurm deployment, ARM images and booting, GB200 firmware and software-stack validation, NVLink partitioning, XID troubleshooting, and telemetry as relevant subject areas. Network Engineering Design and support resilient network connectivity for accelerated-compute and AI cluster environments. Configure and troubleshoot high-speed Ethernet and, where applicable, InfiniBand fabrics. Support leaf-spine network architectures, network segmentation, routing, switching, addressing, name resolution, and time synchronization. Diagnose packet loss, latency, congestion, interface errors, cabling faults, routing issues, and workload connectivity failures. Validate host-to-host, node-to-storage, management-plane, and workload-plane connectivity. Support network configuration required for Kubernetes, cluster provisioning, telemetry, and distributed workloads. Work with security teams to implement network isolation, firewall rules, access controls, and secure administrative paths. Maintain accurate network diagrams, port maps, addressing plans, and configuration records. Hiring note: High-speed Ethernet, InfiniBand, leaf-spine topology, firewall design, and related network technologies are recommended market requirements for this type of position. They are not individually specified in the uploaded PDF. Platform Provisioning and Management Install, configure, and operate NVIDIA Base Command Manager. Support rack import, rack view, base view, node provisioning, and cluster lifecycle activities. Work with bare-metal management systems for server discovery, power operations, hardware health, firmware administration, and remote troubleshooting. Integrate cluster platforms with enterprise directory services. Support NVIDIA Mission Control processes and related AI Factory operational practices. Assist with the deployment and operation of Run:ai or equivalent workload-orchestration capabilities. Automate repetitive provisioning, validation, configuration, and reporting activities. The source material explicitly includes Base Command Manager bring-up, directory services, rack import, rack view, base view, bare-metal management, observability, and Run:ai installation. Monitoring, Reliability, and Operations Implement infrastructure monitoring for compute nodes, GPUs, network devices, interfaces, firmware, thermals, power, storage dependencies, and cluster services. Establish actionable dashboards, telemetry, alerts, and operational health checks. Lead technical diagnosis across hardware, firmware, Linux, Kubernetes, scheduler, network, and application layers. Perform root-cause analysis and document corrective and preventive actions. Develop operational runbooks for failure scenarios such as node loss, degraded network links, GPU errors, provisioning failures, and cluster-service disruption. Participate in incident response, problem management, capacity planning, lifecycle planning, and controlled change implementation. Identify automation and standardization opportunities that reduce manual effort, deployment defects, and recovery time. Work with infrastructure, cloud, security, storage, application, vendor, and service-management teams. Security and Compliance Responsibilities Apply least-privilege access to management, compute, network, and orchestration platforms. Integrate administrative access with approved enterprise identity and directory services. Secure management interfaces, service accounts, automation credentials, application programming interfaces, and remote-access pathways. Maintain separation between management, workload, storage, and out-of-band management networks. Support firmware, operating-system, container, Kubernetes, and network vulnerability remediation. Ensure administrative actions and infrastructure changes are traceable through logging and change records. Protect sensitive cluster configuration, credentials, certificates, logs, and telemetry. Follow secure configuration standards, change controls, and applicable customer or regulatory requirements. Hiring note: These security requirements are recommended additions for enterprise deployment. The PDF references directory services and hands-on operations, but it does not define a complete security or compliance control framework. Required Technical Skills Strong administration and troubleshooting experience with Linux. Strong knowledge of data-center networking, including Ethernet, Transmission Control Protocol/Internet Protocol, routing, switching, virtual local area networks, link aggregation, Domain Name System, Dynamic Host Configuration Protocol, and Network Time Protocol. Hands-on experience installing or operating Kubernetes clusters. Experience deploying and supporting physical compute infrastructure. Understanding of server boot processes, operating-system imaging, firmware, device drivers, hardware management, and remote management controllers. Experience diagnosing issues across server, operating-system, network, and application layers. Working knowledge of Python, Bash, Ansible, or equivalent infrastructure-automation technologies. Experience with monitoring, logging, metrics, dashboards, alerting, and telemetry. Ability to create clear architecture diagrams, build documents, operating procedures, and troubleshooting runbooks. Strong analytical skills and the ability to work effectively during complex infrastructure incidents. Preferred Technical Skills Experience with NVIDIA AI infrastructure, NVIDIA Mission Control, or NVIDIA Base Command Manager. Experience with NVIDIA MGX or GB200-based systems. Experience with Slurm and distributed-compute scheduling. Experience with Run:ai. Experience with InfiniBand, Remote Direct Memory Access, or Remote Direct Memory Access over Converged Ethernet. Knowledge of NVLink and multi-GPU communication. Experience interpreting NVIDIA XID errors and GPU telemetry. Experience with bare-metal provisioning and Redfish-compatible management interfaces. Experience with Prometheus, Grafana, OpenTelemetry, or equivalent observability platforms. Exposure to container runtimes, container registries, Kubernetes networking, and graphics-processing-unit operators. Experience supporting production AI, machine-learning, high-performance-computing, or large-scale data platforms. Qualifications Bachelor s degree in computer science, information technology, electronics, telecommunications, or a related field, or equivalent practical experience. Recommended 7 or more years of experience in infrastructure, compute, network, data-center, cloud-platform, or high-performance-computing engineering. Recommended 3 or more years of hands-on experience with Linux-based cluster platforms, Kubernetes, accelerated computing, or comparable large-scale infrastructure. Demonstrated experience owning complex technical problems from initial diagnosis through resolution and prevention. Hiring note: . click apply for full job details

Job Description Job Description Job Title: (Systems Engineer 5) About Kyyba: Founded in 1998 and headquartered in Farmington Hills, MI, Kyyba has a global presence delivering high-quality resources and top-notch recruiting services, enabling businesses to effectively respond to organizational changes and technological advances. At Kyyba, the overall well-being of our employees and their families is important to us. We are proud of our work culture which embodies our core values; incorporating value, passion, excellence, empowerment, and happiness, creates a vibrant and productive atmosphere. We empower our employees with the resources, incentives, and flexibility that they need to support a healthy, balanced, and fulfilling career by providing many valuable benefits and a balanced compensation structure combined with career development. Job Description Description: Summary: The main function of a Systems Engineer is to perform a wide variety of installation, configuration and upgrading of servers and related hardware and software in a LAN, WAN and stand-alone environment, providing investigation, diagnostic testing and repair/resolution of system, hardware, software and infrastructure. Job Responsibilities: • Complete configuration, installation and support of equipment to the specifications of the business • Maintain software applications and operating systems through regular maintenance • Maintain configuration and support documentation • Manage assigned projects and program components to deliver services in accordance with established objectives • Supervise the administration of systems and servers to ensure availability of services to authorized users • Maintain multi-site network operations, software applications, operating systems through regular maintenance • Troubleshoot malfunctions of hardware, software applications and security systems to resolve operational issues and restore services Qualifications: • Bachelor's degree in a technical field such as computer science, computer engineering or related field required • 10+ years experience required • Broad knowledge of IT Systems engineering • Experience with system capacity and planning, as well as functional configuration and audit • Experience with system planning and capacity tools and analyses Key Responsibilities: Solution Architecture & Platform Design •Define and maintain the overall technical architecture for Planisware implementations across business domains. •Establish scalable solution designs supporting enterprise portfolio management, project management, resource planning, financial planning, and scenario planning capabilities. •Design multi-environment strategies including development, testing, and production environments. •Ensure compliance with enterprise architecture, security, and integration standards. •Develop architectural standards, reusable components, and technical best practices. System Configuration & Development Leadership •Lead technical configuration of the Planisware platform. •Guide development team on configuration, customization, extensions, workflows, and automation. •Review technical designs and code to ensure performance, maintainability, and scalability. •Support release management, deployment planning, and environment governance. Enterprise Integration •Design and oversee integrations between Planisware and enterprise systems including: •SAP, Jira, Active Directory / SSO platforms •Data warehouses and reporting solutions Planning and portfolio management systems •Define API, file-based, and event-driven integration patterns. •Collaborate with enterprise integration and data engineering teams to implement reliable, secure data exchanges. Data Migration & Data Architecture •Own technical strategy for data conversion and migration activities. •Design migration frameworks, validation approaches, reconciliation processes, and cutover plans. •Lead data quality assessments and remediation activities. •Ensure successful migration of project, portfolio, resource, financial, and historical program data. Governance, Security & Operations •Establish platform governance standards and technical operating procedures. •Design role-based security models and access controls. •Support audit, compliance, and regulatory requirements. •Define monitoring, performance management, backup, disaster recovery, and operational support processes. Stakeholder Engagement •Partner with implementation partners, business leaders, PMO organizations, Finance, Product Development, and IT stakeholders. •Translate business requirements into technical solution designs. •Facilitate architecture reviews, design workshops, and technical decision-making sessions. •Mentor internal resources and support development of a Planisware Center of Excellence (CoE). Location : (Warren,MI) Disclaimer: Kyyba is an Equal Opportunity Employer. Kyyba does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. Minorities / Females / Protected Veterans / Individuals with Disabilities are encouraged to apply. All employment is decided on the basis of qualifications, merit, and business need." It is the policy of Kyyba to provide reasonable accommodation when requested by a qualified applicant or employee with a disability, unless such accommodation would cause an undue hardship. The policy regarding requests for reasonable accommodation applies to all aspects of employment, including the application process. If reasonable accommodation is needed, please contact Kyyba at Rewards: Medical, dental, vision 401k Term life Voluntary life and disability insurance Optional Pre-paid legal plan Optional Identity theft plan Optional Medical and dependent FSA Work-visa sponsorship Opportunity for advancement Long-term assignment with opportunity for hire by client SELECT AWARDS An INC 5000 company for 10 years Corp! Michigan Economic Bright Spots Crain's Detroit Business Top Staffing Service Companies in Detroit TechServe Alliance Excellence Award- IT and Engineering Staffing & Solutions Best of MichBusiness winner in HR Wizards & Partnerships Metro Detroit Elite Category: Recruitment, Selection & Orientation for 101 Best & Brightest 101 Best & Brightest Companies to Work for in Michigan

Job Description Job Description Sell Rate: 70/hr Remote / WFO / Hybrid: Remote. Ideally, Central/Mountain/Pacific TZ hours availability 8am onwards. Hire Type (FTE/Contract): Contract Project Duration: 12 Months Expected Start Date: ASAP Platform (Infrastructure) Engineer We are seeking a mid-level Infrastructure Engineer (5 years of relevant experience) to support the build-out of Flexential's enterprise Observability platform. This is a hands-on technical role working alongside Platform Engineering to provision, configure, and maintain the infrastructure underpinning a modern LGTM-based observability stack across 40 data center facilities. Responsibilities Provision and manage virtual infrastructure within VMware VCF/vSphere/vCenter environments supporting the Observability platform • Build and maintain Terraform modules for infrastructure provisioning including VMs, storage, and networking • Develop and maintain Ansible playbooks for OS configuration, service deployment, and environment hardening • Design, deploy, and manage Kubernetes clusters (RKE2 or equivalent) hosting the LGTM stack workloads • Manage Helm chart deployments for Grafana, Mimir, Loki, Tempo, and Prometheus Operator • Build and maintain GitLab CI/CD pipelines and toolchain supporting end-to-end GitOps workflows • Configure and maintain network connectivity for Observability project to all infrastructure and application components including virtualization, LAN, and WAN • Collaborate with the Platform Engineering team to establish standards for Infrastructure-as-Code (IaC), environment promotion, and operational runbooks Required Skills • Python and YAML - 3 years of automation scripting and configuration authoring • Terraform - 3 years writing and maintaining infrastructure modules; experience with vSphere or cloud providers preferred • Ansible - 2 years of playbook development; AWX/automation controller experience preferred • Kubernetes and Helm - 3 years of cluster administration and workload deployment, including day-2 operations • GitLab - 2 years of CI/CD pipeline development and GitOps workflow management • VMware VCF, vSphere, and vCenter - 2 years of hands-on experience required; strong working knowledge of VM lifecycle, resource pools, and storage policies • Linux - 3 years of admin-level proficiency required; systemd, networking, storage, and security hardening • Networking - 2 years working with LAN/WAN, DNS, load balancing, and network virtualization in an enterprise environment Preferred Skills • Any hands-on exposure to LGTM stack technologies (Loki, Grafana, Tempo, Mimir) or OpenTelemetry • Familiarity with AIOps concepts and observability platform operations nincluding ITSM Major incident management workflows and tools • Experience with secrets management tools such as CyberArk, Conjur, or HashiCorp Vault • Experience with Postgres or other RDBMS

Job Description Job Description We are seeking a Systems Engineer to support the migration of Windows-based workloads from an on-premises datacenter to AWS. This onsite role will work closely with infrastructure, application, networking, and security teams to assess existing systems, prepare migration plans, execute workload migrations, and provide post-migration support. The ideal candidate brings hands-on experience administering Windows Server environments, managing VMware infrastructure, and deploying and supporting Amazon EC2 instances. Citrix experience is a plus. Key Responsibilities Assess and document existing Windows servers, VMware virtual machines, application dependencies, and infrastructure configurations. Support migration planning, including workload readiness assessments, migration sequencing, cutover procedures, validation criteria, and rollback plans. Prepare AWS EC2 environments and migrate workloads in coordination with cloud architecture, networking, and security teams. Administer and troubleshoot Windows Server environments, including operating systems, services, patching, storage, and connectivity. Manage VMware vSphere, ESXi, and vCenter environments throughout the migration. Validate server functionality, connectivity, performance, monitoring, and backup coverage following migration. Troubleshoot migration issues and provide post-cutover stabilization support. Maintain system documentation, migration runbooks, configuration records, and knowledge-transfer materials. Follow established change management, security, and operational procedures. Required Qualifications Hands-on systems engineering or infrastructure administration experience in enterprise environments. Strong Windows Server administration and troubleshooting skills. Experience managing VMware vSphere environments, including ESXi and vCenter. Practical experience deploying, configuring, and supporting AWS EC2 instances. Working knowledge of AWS networking and access controls, including VPCs, subnets, security groups, and IAM. Understanding of Active Directory, DNS, Group Policy, TCP/IP networking, and server storage. Experience supporting server migrations, infrastructure transitions, or datacenter consolidation initiatives. Ability to troubleshoot issues across operating systems, virtualization, networking, and cloud infrastructure. Strong documentation, communication, and cross-functional collaboration skills. Ability to work onsite at the designated location and participate in scheduled migration cutovers or maintenance windows. Preferred Qualifications Experience supporting Citrix Virtual Apps and Desktops, including supporting infrastructure and application delivery. Experience with AWS Application Migration Service or similar migration tools. PowerShell scripting and automation skills. Familiarity with backup, recovery, monitoring, and security tools across on-premises and AWS environments. Relevant AWS, Microsoft, VMware, or Citrix certifications. Success Measures Assigned workloads are migrated and validated within approved migration windows. Post-migration issues are resolved promptly, with minimal disruption to business operations. Migration runbooks and operational documentation are complete and accurate. Migrated systems are successfully transitioned to ongoing support teams. Equal opportunity employer including disability/veterans.

Job Description Job Description STATE OF ALABAMA Office of Information Technology Senior AI Platform & Services Engineer Enterprise Artificial Intelligence Engineering, Service Architecture, Governance Implementation, and Technical Operations Target Bill Rate Overall Experience AI Experience Role Level $65.00 - $76.89/hr 4 - 7+ years 2+ years preferred Senior Engineer Ideal Candidate Profile: An experienced enterprise platform engineer who can work deeply in the backend while also designing the service structure around AI. The ideal candidate can engineer integrations and controls, own complex troubleshooting, operationalize governance requirements, establish standards, and mentor less-experienced AI platform resources. Position Summary The Senior AI Platform & Services Engineer is a senior hands-on technical position responsible for engineering, administering, integrating, operating, and continuously improving enterprise AI platforms and services. The position provides technical leadership across a multi-platform AI environment initially centered on OpenAI/ChatGPT, Microsoft Copilot, and Google Gemini. The engineer establishes repeatable technical patterns, operational standards, integrations, access controls, monitoring, service-management processes, and governance implementation so AI capabilities can be operated securely and reliably as managed enterprise services. This role is expected to remain hands-on and is not primarily a consulting, policy-only, or custom model-research position. Position Snapshot Primary Function Senior hands-on engineering, administration, service architecture, integration, governance implementation, and operational leadership for enterprise AI. Initial Platforms OpenAI/ChatGPT, Microsoft Copilot, and Google Gemini, with responsibility to incorporate additional AI services as organizational needs evolve. Engineering Focus Architecture patterns, APIs/connectors, agents, identity, data access, automation, monitoring, lifecycle, reliability, security controls, and enterprise support. Governance Role Translates approved AI, security, privacy, compliance, and data-handling requirements into technical controls, standards, evidence, and operational processes. Leadership Scope Not required. Preference is for engineers who have owned and operated enterprise technology services rather than primarily advised from a consulting role. Technical leadership and mentoring; complex escalation ownership; standards and patterns. Direct people management is not required unless separately assigned. Consulting Background State of Alabama Office of Information Technology Position Description Page 1 STATE OF ALABAMA Office of Information Technology Primary Responsibilities Engineer, administer, and continuously improve enterprise AI platforms and the supporting technical services required to operate them at scale. Serve as a hands-on technical subject-matter resource across OpenAI/ChatGPT, Microsoft Copilot, Google Gemini, and related enterprise AI technologies. Design and implement technical patterns for APIs, connectors, agents, orchestration, knowledge sources, retrieval augmented generation (RAG), automation, and integrations with enterprise systems. Establish platform administration, environment management, access-control, configuration, service onboarding, change/release, and lifecycle-management standards. Design and implement identity patterns including SSO, RBAC, privileged access, service identities, scopes/permissions, access reviews, secrets, and least-privilege controls as applicable. Translate approved governance, security, privacy, legal, compliance, records, and data-management requirements into enforceable technical configurations and operating controls. Evaluate data flows, model/provider interactions, knowledge sources, connectors, and integrations to identify technical risks, dependencies, logging requirements, and control points. Establish monitoring, logging, alerting, auditability, usage reporting, cost/consumption visibility, licensing oversight, and operational performance metrics for AI services. Own or lead troubleshooting of complex platform, integration, authentication, authorization, data-access, agent, performance, and service-availability issues. Evaluate new AI products, models, platform capabilities, agents, and features and define technical testing, pilot, release, and support-readiness requirements. Develop and maintain technical architecture documentation, standards, configuration baselines, runbooks, support models, knowledge articles, and operational procedures. Define escalation paths and support boundaries for AI-related incidents and service requests and coordinate with vendors and internal technical teams as needed. Identify and implement automation opportunities that reduce manual administration and improve consistency, reliability, observability, and governance. Provide technical mentoring and guidance to AI Platform Engineers and other support resources while maintaining hands-on ownership of critical engineering work. Partner with cybersecurity, cloud/infrastructure, identity, application, data, architecture, service-management, procurement, legal/compliance, and business teams on AI service delivery. Minimum Qualifications Bachelor's degree in Computer Science, Information Systems, Engineering, Cybersecurity, or a related technical discipline, or an equivalent combination of education and progressively responsible professional experience. Approximately 4 - 7+ years of professional experience in cloud engineering, systems engineering, platform engineering, DevOps, enterprise application administration, automation, security engineering, or comparable technical disciplines. Approximately 2+ years of meaningful experience with AI, intelligent automation, machine learning platforms, generative AI, or closely related enterprise technologies is preferred; equivalent depth demonstrated through hands-on delivery may be considered. Demonstrated experience engineering or operating complex enterprise cloud/SaaS platforms, integrations, identity controls, APIs, and support processes. Strong troubleshooting capability and experience leading technical resolution of multi-system issues involving applications, cloud services, identity, permissions, APIs, or data access. Ability to translate architectural, security, privacy, governance, or compliance requirements into practical technical designs and operational controls. State of Alabama Office of Information Technology Position Description Page 2 STATE OF ALABAMA Office of Information Technology Preferred Qualifications Hands-on experience with at least two of the following ecosystems: OpenAI/ChatGPT and OpenAI APIs; Microsoft Copilot/Copilot Studio/Azure AI services; Google Gemini/Vertex AI/Google Cloud. Experience implementing enterprise AI agents, RAG/grounding, knowledge integration, enterprise search, tool/function calling, model routing, or API orchestration patterns. Experience with PowerShell, Python, REST APIs, JSON, CI/CD or infrastructure automation, low-code workflow tools, or comparable automation technologies. Experience with enterprise IAM, Microsoft Entra ID or comparable identity platforms, OAuth/OIDC/SAML, RBAC, privileged access, service principals/service accounts, secrets, and access reviews. Experience implementing security, privacy, data-loss prevention, logging/audit, records/data-handling, responsible AI, or AI governance requirements in technology platforms. Experience establishing IT service-management models including incident, request, change, problem, knowledge, service ownership, escalation, monitoring, and operational reporting. Experience operating technology in a regulated, government, large-enterprise, or other control-intensive environment. Knowledge, Skills, and Abilities Strong systems-thinking skills and the ability to understand how AI platforms interact with identity, data, applications, networks, cloud services, security controls, and operational processes. Ability to design practical service structures around rapidly changing technology without overengineering or losing operational supportability. Ability to evaluate tradeoffs across platform capability, security, privacy, cost, user experience, maintainability, and compliance requirements. Strong technical documentation, standards development, and communication skills for both engineering and governance audiences. Ability to mentor engineers, provide technical direction, coordinate across teams, and maintain ownership through implementation and steady-state operations.

Job Description Job Description Position Overview The company is seeking a Microsoft Systems / Infrastructure Engineer to support their client during a 6 8 month infrastructure engagement. This role is focused on the administration and management of Microsoft infrastructure and endpoint management solutions, with particular emphasis on SCCM, Microsoft Intune, Windows patching, and Active Directory. The ideal candidate will be comfortable operating in a large enterprise environment and have hands-on experience managing Windows infrastructure, endpoints, software deployment, security updates, and Microsoft management technologies. Key Responsibilities Administer and support enterprise Microsoft Windows environments. Manage and maintain Microsoft Endpoint Configuration Manager (SCCM/MECM). Support Microsoft Intune for endpoint configuration, management, compliance, and deployment. Plan, coordinate, and execute Windows and Microsoft patching activities. Troubleshoot patching, software deployment, endpoint, and configuration issues. Administer and support Active Directory, including users, groups, computers, policies, and organizational units. Assist with Group Policy administration and troubleshooting. Support endpoint software deployments, application packaging, and configuration management. Monitor management platforms and identify failed deployments, compliance issues, and endpoint health concerns. Participate in infrastructure maintenance, upgrades, migrations, and modernization initiatives. Work with infrastructure, security, application, and service desk teams to resolve technical issues. Maintain documentation related to system configurations, procedures, patching, and operational processes. Follow established change management, incident management, and security procedures. Required Qualifications 5 years of experience supporting enterprise Microsoft infrastructure. Strong hands-on experience with SCCM/MECM. Experience with Microsoft Intune and modern endpoint management. Strong understanding of Windows Server and Windows endpoint environments. Experience managing Microsoft/Windows patching in an enterprise environment. Strong Active Directory administration experience. Experience with Group Policy and enterprise endpoint configuration. Strong troubleshooting and analytical skills. Experience working within formal IT operations, change management, and incident management processes. Preferred Qualifications Experience with VMware or virtualized data center environments. Experience with Dell server and storage infrastructure. Experience with PowerStore or PowerVault. Knowledge of Azure, Entra ID, or Microsoft 365 administration. Experience supporting endpoint security or compliance initiatives. PowerShell scripting experience. Experience with infrastructure modernization or migration projects. Background working for a consulting firm, systems integrator, MSP, or large enterprise IT organization.

Job Description Job Description Position responsible for installation, maintenance and repairs on equipment within an assigned territory/region to assure continuity of customer operations and high levels of customer satisfaction Responsible for ownership of customer problems or incidents until the situation has been resolved to the customers satisfaction and or in compliance with agreed upon Service Level Agreements Required to perform work on products and services of low complexity, specifically financial/ATM products; Make minor repairs and replace components on Tier I equipment such as PCs, workstations and peripherals, printers, front-end POS systems, First Line Maintenance on ATMs and kiosks, and single pocket proof encoders Responsible for assisting in site preparation, including installation of cable, staging of equipment, and minor testing of equipment; May also perform required modular swaps and unit replacements Customer Engineer responds to all customer concerns or problems by resolving them or by escalating them to the proper associate, team member, territory manager, or the Control Tower Build working relationships with customers and develop informal communication channels with customer account at the local level; Represents Client in a manner that reflects positively on the image and reputation of the company Performs periodic preventative maintenance on assigned products; Diagnoses problems, makes minor repairs, and replaces components (at the module level); Follows appropriate security procedures when working with ATM's and or within financial institution Responsible for all Client assets that will be used in the delivery of customer services (i.e. tools, software, vehicles, documentation, and intellectual property), or as assigned by management; Responsible for accurate and prompt reporting of calls and activity, as well as other reporting as required; Responsible for tracking and reporting all expenses incurred in the delivery of services, including telephone, private automobile, and/or public transportation Responsible for capturing detailed customer asset information and other data required to complete any invoicing or billing activities May be dispatched daily on a call-by-call basis or may establish his/her own daily schedule on the basis of automated reports May require prolonged travel, carrying and lifting tool kit/parts of varying weights (1- 50 lbs.); May require bending/squatting, walking/standing /sitting for prolonged periods; May be required to work on rotating shifts Ensure staff productivity measures are achieved; Work together with Call Center Staff via PDA to recover machines; Work together with Security Escort Officer Retail EPOS maintenance or install experience is required; Strong desktop hardware experience may be considered if EPOS experience is limited BASIC QUALIFICATIONS: High School Diploma or equivalent 0-1 years of related experience Ability to work with Microsoft Office suite; Experience on Windows XP, Windows 2000 operating systems required Experience in PC Hardware Maintenance and support A Certification ITE or Polytechnic in Electronics and Communications Engineering Works well with minimal supervision; Good problem solving skills; Ability to pick up new skills quickly; Ability to work under pressure; Ability to meet deadlines and produce high quality work Excellent interpersonal skills/customer relationship skills required High level of mechanical/electrical aptitude; Experience on maintaining computer hardware (Desktops, Servers, peripherals), routers, networks, switches, hubs required High level of personal integrity; Support and promote teamwork and cooperative effort Must have the ability to work a flexible schedule including nights, weekends, overtime, flex shifts, and on-call PREFERRED QUALIFICATIONS: Associate?s Degree preferred Previous experience in Client or similar equipment is a plus. Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans

Job Description Job Description Maximo Systems Engineer Huntsville, AL 35808 Job Type: Full Time W2 + Benefits Location: REMOTE from a U.S. location within 50 miles of a NASA facility Security Requirements: US Citizen eligible for Public Trust Access Anakim Consulting Inc. is hiring a senior-level Maximo Systems Engineer to provide comprehensive systems engineering support and lead technical assignments. In this role, you will apply your advanced knowledge of systems concepts, processes, and practices to analyze, design, develop, and integrate cloud, hardware, software, and man-machine interfaces. You will be responsible for defining system-level requirements to deliver an integrated IT solution, while also developing test requirements, strategies, and devices, and directing overall system-level testing. Prior experience supporting a NASA environment is preferred. Responsibilities include: Work as part of a collaborative team to design, develop, architect, and configure MAS platform. System Integration & Architecture: Lead the technical design of Enterprise integration architecture supporting NASA Enterprise systems. Define API messages, error handling, and monitoring strategies. Lead the implementation and configuration of secure API management and authentication standards. IBM Maximo Application Suite (MAS) Management: Lead installation, configuration, upgrades, patching, and troubleshooting activities for MAS across multiple environments. Configure and support Maximo Mobile, including SSO authentication and modifications using the Maximo Application Framework (MAF) Configuration application. Manage MAS user synchronization with Microsoft Entra ID. Automation & Scripting: Perform complex application configuration and develop automation scripts utilizing Python, XML, JavaScript, and JSON. Develop and maintain complex scripting for MAS configurations. Reporting & Data Visualization: Leverage extensive hands-on experience with BIRT reporting and Microsoft Power BI to perform data modeling supporting Business Intelligence (BI) needs. Manage Enterprise (multi-org, multi-site) reporting platforms and enforce data segregation via Row-Level Security (RLS). Infrastructure & Platform Operations: Apply advanced knowledge of Linux operating systems and architecture. Utilize a working knowledge of OpenShift Container Platform within Enterprise Maximo deployments. Project Leadership & Support: Prepare and present project-related information to executive, leadership, and center teams. Utilize Jira Service Management (or comparable ticketing systems) to track technical issues and manage service requests. Support on-site work schedule, if requested. Other duties, as assigned.