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Job Description Job Description Job Title: Palo Alto Firewall Engineer Location: Springfield, VA Type: Contract To Hire Compensation: $80/hr. W2 Benefits available Conversion Salary: $150,000 annually plus benefits Work Model: Onsite Security Clearance: Active TS/SCI clearance and the ability to successfully pass and maintain a U.S. Government polygraph Responsibilities Lead the design, requirements analysis, testing, integration, and implementation of secure network architectures centered on the Palo Alto Networks ecosystem. Serve as the lead technical authority for administering, configuring, and troubleshooting Palo Alto Networks Next-Generation Firewalls (NGFWs) across a hybrid enterprise environment. Engineer and implement solutions for customer Change Requests (CRQs); assess impacts on enterprise transport and security activities and provide technically sound recommendations. Serve as the technical representative for assigned projects and coordinate issues with the appropriate owners, organizations, contract leadership, and customer leadership. Manage the full lifecycle of Palo Alto hardware and software, including complex hardware refreshes, PAN-OS upgrades, legacy-platform sustainment, physical troubleshooting, and line-card replacements. Develop, oversee, and maintain configuration-management processes, network architecture diagrams, technical documentation, integration and test plans, and Standard Operating Procedures (SOPs) for Palo Alto security platforms. Use Panorama for centralized policy management, including templates, device groups, inheritance, and consistent configuration across a diverse fleet of physical and virtual firewalls. Configure and maintain advanced security capabilities and profiles, including App-ID, User-ID, Content-ID, SSL Decryption, WildFire, NAT, IPSec VPNs, and threat prevention. Oversee security-incident reporting, documentation, investigation, and corrective-action development. Act as a liaison to contract/customer management and the government Designated Approving Authority (DAA) regarding network-security status, policies, procedures, and risks. Evaluate and report on new and emerging network-security and communications technologies to improve network capacity, performance, reliability, standardization, and security. Provide mentorship and technical oversight to junior engineers and serve as an escalation point for complex troubleshooting. Follow all customer network-security processes and procedures, maintain compliance with Government and QA standards, and ensure service-performance indicators are met or exceeded. Requirements Security Clearance: Active TS/SCI clearance and the ability to successfully pass and maintain a U.S. Government polygraph. A minimum of 7+ years of hands-on experience administering, configuring, and troubleshooting Palo Alto Networks NGFWs in large-scale enterprise/global environments. Active Palo Alto Networks Certified Network Security Engineer (PCNSE) certification. DoD 8140.01 and DoD 8570.01-M IAT Level II compliance (for example, Security+ CE). Ability to obtain and maintain a CSSP Infrastructure Support certification within 120 days of the start date. Deep practical knowledge of legacy Gen 2/Gen 3 Palo Alto hardware, including PA-3000 and PA-5000 series platforms, legacy CLI, hardware troubleshooting, and line-card replacements. Experience deploying and managing modern PAN-OS architectures, including Prisma Access (SASE), Prisma SD-WAN, and VM-Series virtual firewalls in cloud environments such as AWS, Azure, GCP, or private-cloud. Proven expertise with Panorama for centralized policy management, template/device-group inheritance, and configuration deployment across a hybrid firewall fleet. Advanced understanding of BGP, OSPF, IPSec VPNs, NAT, TLS/SSL, mutual TLS (mTLS), HTTP, SAML, OAuth, OCSP revocation, DoD PKI, Kerberos, LDAP, and Active Directory. Experience with F5 technologies, including APM, AFM, and SSL Orchestrator (SSLO), and troubleshooting TLS/SSL handshake/connection issues. Strong network design, engineering, implementation, and troubleshooting skills, including ROM equipment lists and cost estimates. Knowledge of DISA and Intelligence Community security standards and requirements. Excellent interpersonal skills and technical judgment with the ability to work independently and support weekend/evening work if needed. Bachelor's degree in IT, Cybersecurity, Computer Science, or a related field, with additional relevant experience considered in lieu of a degree. Desired Qualifications Active Palo Alto Networks Certified Network Security Consultant (PCNSC) or Prisma Certified SASE Professional (PCSAE). F5 Networks Certified Technology Specialist (CTS). Cisco CCNP, CCVP, CCNA, CCDP, or equivalent. ITIL v3 Foundations and/or ISC2 CISSP Certification. Proficiency in Python and automation tools such as Ansible, Terraform, or Palo Alto XML/REST APIs. Hands-on experience with Cortex XDR or Cortex XSOAR. Experience with Palo Alto Networks Expedition for migration and rule consolidation. Knowledge of Zero Trust Network Access (ZTNA) architectures and additional security platforms (e.g., Juniper SRX, Cisco FTD/ASA). Master's degree in related fields is a plus. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Baltimore

Amazon Leo is an initiative to launch a constellation of Low Earth Orbit satellites that will provide low-latency, high-speed broadband connectivity to unserved and underserved communities around the world. Come work at Amazon! The Role As a Senior ATE Security Software Engineer, you will engage with an experienced cross-disciplinary staff to deliver secure, high-quality custom silicon powering the Leo network. This role has two focuses: device security and provisioning during test, and the development of reusable ATE library and automation software that accelerates test development across the team. You will own secure device provisioning and security algorithm test on Advantest 93K and/or Teradyne UltraFLEX platforms, including secure key and identity injection, OTP/eFuse programming, and fuse-based lifecycle management. You will also design and build reusable, well-architected library code and tooling, such as pattern search utilities, automated sub-flow generation, and auto-generation of test programs from patterns, that improve the productivity, consistency, and quality of the entire test engineering team. You must be responsive, flexible, and able to succeed within an open, collaborative peer environment, and you will influence design, DFT, security, and manufacturing teams to ensure our products are architected for security, testability, and cost-effective high-volume manufacturing. Export Control Requirement Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Key job responsibilities • Own device security and secure provisioning during test, including secure boot, secure key and identity injection, cryptographic provisioning, fuse-based configuration and lifecycle management, and debug-port lockdown. • Develop, own, and qualify OTP/eFuse programming flows, addressing challenges such as programming margin, read-back verification, repeatability, and the irreversible nature of fuse operations across process, voltage, and temperature. • Integrate ATE flows with secure provisioning systems, HSMs, or key-management infrastructure. • Develop and validate JTAG and debug-access flows on post-provisioned units to enable debug of RMA returns and downstream quality issues, while preserving device security posture. • Design, build, and maintain reusable ATE library code and tooling that accelerates test development across the team. • Develop utilities for pattern search and analysis, automated sub-flow generation, and auto-generation of test programs from patterns. • Architect libraries and frameworks for reusability, maintainability, and scale, applying strong software engineering practices (modular design, version control, code review, and testing). • Run firmware on DUTs to enable secure provisioning, self-test, and reduced test time. • Partner with ASIC design, DFT, security, and firmware teams to ensure devices meet Amazon standards for secure provisioning, design-for-test, and design-for-manufacturability. • Actively identify security, test-readiness, and software gaps throughout the product lifecycle and drive them to resolution. • Lead technical and security reviews and set software and security best practices for the team. BASIC QUALIFICATIONS - Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent work experience - 7+ years of experience in silicon test, security engineering, or test software development. - Experience with device security and secure provisioning during test, including OTP/eFuse programming. - Working knowledge of the fundamentals of encryption, cryptographic keys, and secure communication channels. - Strong software engineering skills, including proficiency in a language such as Python and/or C/C++, and experience building reusable, well-architected code. - Experience developing test or automation software on Advantest 93K and/or Teradyne UltraFLEX platforms. - Strong written and verbal communication skills. - International travel required during release-to-production phases. PREFERRED QUALIFICATIONS - Master's degree in Electrical/Computer Engineering or Computer Science. - Demonstrated ability to lead cross-functional technical efforts and mentor other engineers. - Expertise in standard silicon security concerns for modem and SoC devices, such as secure boot, secure key and identity provisioning, fuse-based lifecycle management, and debug-port lockdown. - Experience implementing cryptographic provisioning flows involving keys, certificates, and device identities in a manufacturing or test environment. - Experience working with anti-tamper and physical security blocks in silicon, such as tamper detection, sensors, and secure-element hardening. - In-depth understanding of OTP/eFuse programming challenges, including margin, read-back verification, repeatability, and managing irreversible operations at high volume. - Strong software development background, with experience building reusable ATE libraries and tooling (pattern search, sub-flow generation, automated test-program generation). - Experience with digital test of complex SoCs, including developing, debugging, and analyzing coverage for scan/ATPG, MBIST, boundary scan (JTAG), and functional tests. - Experience developing and debugging test programs on ATE platforms such as Advantest 93K and Teradyne UltraFLEX. - Experience with high-speed SERDES test and characterization, including equalization test and tuning (CTLE/DFE/FFE), jitter decomposition, and eye/BER analysis. - Experience developing high-volume manufacturing test solutions and driving the full test release process across the New Product Introduction (NPI) lifecycle, from silicon bring-up, characterization, and qualification through production hand-off and ramp. - Familiarity with I/O protocols such as I3C, SPI, and GPIO. - Experience testing complex modem and SoC devices in advanced process nodes. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CA, San Diego - 185 000.00 USD annually USA, CA, Sunnyvale - 213 500.00 USD annually USA, WA, Redmond - 185 000.00 USD annually

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. We are seeking a Manufacturing Operations and Industrial Engineering Program Manager to help us fuel AWS' explosive growth. This role is the single-threaded owner of factory layout and material flow design across AWS rack fulfillment manufacturing sites. You will work at the intersection of capacity planning, automation engineering, construction, and operations - spanning EC2, Machine Learning, and Storage hardware platforms in AWS manufacturing. Your work directly enables AWS to meet datacenter capacity commitments by ensuring manufacturing infrastructure scales efficiently, reliably, and repeatably across a global site network. Possessing strong leadership, influencing skills, and technical depth are critical elements of success for this role. This leader will establish manufacturing standards and publish process control guidelines to assure flawless ramp into volume manufacturing. Key job responsibilities Translate rack fulfillment capacity plans into data-driven facility layouts for AWS manufacturing operations, designing end-to-end material flow from dock receipt through assembly, integration, test, and dispatch across EC2, Machine Learning, and Storage product platforms . Design factory floor layouts including automation line stations, manual assembly zones, test positions, sub-assembly areas, burn-in, and repair workflows - determining optimal buffer sizing, automation vs. manual line trade-offs, and material handling system specifications (AMR/AGV routes, conveyors, ASRS) based on cycle time analysis, volume ramp curves, and product mix complexity . Develop and maintain industrial simulation models (FlexSim, Plant Simulation, or equivalent) to identify bottlenecks, validate throughput assumptions, optimize material flow paths, and establish performance metrics including takt time adherence, buffer occupancy, and transport cycle times . Coordinate utility and infrastructure requirements (power, cooling, network, compressed air) for each production zone with facilities and construction teams, ensuring infrastructure readiness aligns with layout phasing - particularly for high-density ML accelerator and Storage rack configurations requiring liquid cooling and high-power distribution . Manage phased layout plans aligned with construction milestones, enabling production in early zones while build-out continues in adjacent areas; own layout change control, produce clear visual documentation (2D/3D layouts, material flow diagrams, phasing overlays), and develop replicable standards across the global manufacturing site network . Drive continuous improvement and operations sustaining by owning the factory layout as a living document, partnering with Operations, Test, Process, and Automation Engineering teams to implement optimizations that reduce cycle time, improve throughput toward manufacturing-to-ship SLA targets, and enable rapid capacity deployment for new product platform introductions Excellent communicator with an ability to concisely and precisely convey information to executives and cross functional teams Needs to be an evangelist for teaching Automation to the organization. Ability to multitask on several concurrent projects of med to high complexity About the team Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. BASIC QUALIFICATIONS - 7+ years of technical product or program management experience - 10+ years of working directly with engineering teams experience - 5+ years of software development experience - Experience managing programs across cross functional teams, building processes and coordinating release schedules PREFERRED QUALIFICATIONS - 8+ years of hands-on work managing complex technology projects experience - Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Bellevue - 177 400.00 USD annually

Annapurna Labs was a startup company acquired by AWS in 2015, and is now fully integrated. If AWS is an infrastructure company, then think Annapurna Labs as the infrastructure provider of AWS. Our org covers multiple disciplines including silicon engineering, hardware design and verification, software, and operations. AWS Nitro, ENA, EFA, Graviton and F1 EC2 Instances, AWS Neuron, Inferentia and Trainium ML Accelerators, and in storage with scalable NVMe, are some of the products we have delivered, over the last few years. AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine learning accelerators and the Trn1 and Inf1 servers that use them. This position is for a Software Engineer that will lead the development of machine learning tools to run, optimize, and analyze machine learning workloads. This candidate must have had experience leading machine learning tool projects, preferably starting from architecture through several generations of delivery to customers. Deep knowledge of profiling and optimization, resource management, scheduling, code generation are needed. The ideal candidate will have worked on new instruction set architectures, which may include CPU, NPU, GPU and other forms of compute. Key job responsibilities This engineer will lead the design and implementation of ML infrastructure platform, building systems for capacity management, workload scheduling, and fleet orchestration across ML accelerators. They will work with ML scientists, training infrastructure engineers, hardware teams, and internal customers to ensure the ML Infra service delivers seamless ML Accelerator access with low wait times, high utilization, and zero-config deployment from various environments. A day in the life As you design and code solutions to help our team drive efficiencies in software architecture, you'll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You'll also: Build high-impact solutions to deliver to our large customer base. Participate in design discussions, code review, and communicate with internal and external stakeholders. Work cross-functionally to help drive business decisions with your technical input. Work in a startup-like development environment, where you're always working on the most important stuff. About the team High-impact, high-visibility: You'll directly accelerate every Neuron team's ability to ship - your work multiplies the output of 100+ engineers Greenfield opportunities: We're actively building new capabilities with significant design ownership for SDEs Small, senior team: where every person owns major components and drives architectural decisions AI infrastructure: Work at the intersection of Kubernetes, custom silicon, and large-scale ML workloads Diverse Experiences We value diverse experiences and non-traditional career paths. If your career is just starting or includes alternative experiences, we encourage you to apply. Inclusive Team Culture Our employee-led affinity groups foster inclusion. Events like CORE and AmazeCon inspire us to embrace our uniqueness. Work/Life Balance We strive for flexibility as part of our working culture, supporting you both at work and at home. Mentorship & Career Growth We offer knowledge-sharing, mentorship, and one-on-one code reviews to help you grow as a professional. Hybrid Work This role is onsite, with flexibility to work remotely when you're unable to make it into the office. BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language PREFERRED QUALIFICATIONS - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - Experience taking a leading role in building complex software or computing infrastructure that has been successfully delivered to customers - Experience with AWS Services including EC2, Lambda, S3, DynamoDB, SQS - Experience in Kubernetes, Docker or containers ecosystem, or experience managing full application stacks from the OS up through custom applications and experience in any Bigdata architecture - Experience with version control systems and CI/CD pipeline implementation - Strong proficiency in Go/Java, Python, and Javascript/Typescript - Application and kernel performance profiling and optimization - Proficiency in integrated software/hardware performance analysis and optimization - Experience designing and operating production services Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Seattle - 143 400.00 USD annually

Delta Defense seeks a Cybersecurity Engineer to safeguard critical systems, data, and customer information supporting USCCA's nationwide membership platform. In this role, you will design and maintain secure network and cloud architectures, administer security tools, and lead monitoring, incident response, and vulnerability management efforts. You'll collaborate closely with IT, software, and business teams to embed security by design, refine policies, and support audits. Join a fast-growing, mission-driven organization where your expertise directly protects responsible gun owners and advances a values-driven, high-performance culture. Responsibilities Design, implement, and maintain secure network and cloud architectures to protect USCCA systems and data Monitor security events, investigate alerts, and respond to incidents to minimize risk and downtime Conduct vulnerability assessments, penetration testing, and remediation planning across applications and infrastructure Develop and maintain security policies, standards, and procedures aligned with regulatory and industry best practices Collaborate with engineering and IT teams to embed security into software development and deployment processes Manage security tools including SIEM, EDR, firewalls, IDS/IPS, and identity and access management platforms Perform security risk assessments on new technologies, vendors, and business initiatives Lead security awareness efforts, coaching teams on secure behavior and incident reporting Support audit, compliance, and documentation requirements for internal and external stakeholders Continuously evaluate emerging threats and technologies to strengthen Delta Defense's security posture Required Skills Network security engineering Cloud security (AWS, Azure, or similar) Security incident detection and response Vulnerability assessment and remediation Penetration testing basics SIEM administration and log analysis Endpoint detection and response (EDR) tools Identity and access management (IAM) Firewall, IDS/IPS configuration Security policy and documentation development

What you will do We are seeking a Manufacturing IT Platform Engineer with 8-10 years of traditional software development hands-on experience using AI-assisted development tools (e.g., Claude.ai, ChatGPT, GitHub Copilot). The role focuses on building productized, reusable capabilities for MoM/MES integration, manufacturing data platforms, and edge deployments, using containers and Kubernetes to deploy and support solutions in manufacturing plants. This role is ideal for an engineer who wants to build real systems used on the shop floor, leverage AI tools to accelerate development, and grow into a strong manufacturing platform contributor. How you will do it Design and develop services supporting MoM/MES use cases such as production events, quality data, and traceability. Build manufacturing data pipelines and APIs for real-time and near real time shop-floor data. Develop and maintain edge-deployed applications that interface with plant systems (MES, SCADA, historians, equipment data). Use AI development tools (Claude.ai, Copilot studio) for: Code generation and refactoring Test creation and debugging Documentation and design acceleration Configuration of the MOM/MES Containerize applications using Docker and deploy using Kubernetes (on prem or edge environments). Support plant deployments, validation, and basic production support. Collaborate with senior engineers and architects to improve reliability, scalability, and usability of the platform. What we look for Required 8-10 years of traditional software development experience in Manufacturing. 2-3 years of active experience using AI tools for software development. Strong coding skills in Python, Java, Node.js, or .NET. Experience building and consuming REST APIs and data services. Hands-on experience with Docker containers. Working knowledge of Kubernetes concepts (pods, deployments, services). Basic understanding of manufacturing or industrial systems (MES, shop-floor data, production systems). Preferred Exposure to MoM/MES, SCADA, Historian, or IoT systems. Experience with event-driven or streaming architectures (e.g., MQTT, pub/sub concepts). Any experience deploying applications to edge or on-prem environments. Familiarity with CI/CD pipelines and DevOps practices. Experience with manufacturing and shop-floor systems. Comfortable combining traditional engineering skills with AI-assisted development. Product-oriented mindset-focused on reusable, scalable solutions. Willingness to support plant users and learn from operational feedback. Curious, hands-on, and ownership driven. Meadowbrook - Lithium Ion Our Meadowbrook, Michigan plant produces lithium-ion batteries and runs a research lab. We began operations in 2010 and now employ more than 110 people and operate six days per week. We're mindful of the profound impact we have on our planet and are proud to operate in a LEED Gold Certified facility. Our employees are actively involved in the community and volunteer for a variety of local organizations. What you get: Medical, dental and vision care coverage and a 401(k) savings plan with company matching - all starting on date of hire Tuition reimbursement, perks, and discounts Parental and caregiver leave programs All the usual benefits such as paid time off, flexible spending, short-and long-term disability, basic life insurance, business travel insurance, and Employee Assistance Program Global market strength and worldwide market share leadership HQ location earns LEED certification for sustainability plus a full-service cafeteria and workout facility Clarios has been recognized as one of 2026's Most Ethical Companies by Ethisphere. This prestigious recognition marks the fourth consecutive year Clarios has received this distinction. Who we are: Clarios is the force behind the world's most recognizable car battery brands, powering vehicles from leading automakers like Ford, General Motors, Toyota, Honda, and Nissan. With 18,000 employees worldwide, we develop, manufacture, and distribute energy storage solutions while recovering, recycling, and reusing up to 99% of battery materials-setting the standard for sustainability in our industry. At Clarios, we're not just making batteries; we're shaping the future of sustainable transportation. Join our mission to innovate, push boundaries, and make a real impact. Discover your potential at Clarios-where your power meets endless possibilities. Veterans/Military Spouses: We value the leadership, adaptability, and technical expertise developed through military service. At Clarios, those capabilities thrive in an environment built on grit, ingenuity, and passion-where you can grow your career while helping to power progress worldwide. All qualified applicants will be considered without regard to protected characteristics. Equal Employment Opportunity: We recognize that people come with a wealth of experience and talent beyond just the technical requirements of a job. If your experience is close to what you see listed here, please apply. Diversity of experience and skills combined with passion is key to challenging the status quo. Therefore, we encourage people from all backgrounds to apply to our positions. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, status as a protected veteran or other protected characteristics protected by law. As a federal contractor, we are committed to not discriminating against any applicant or employee based on these protected statuses. We will also take affirmative action to ensure equal employment opportunities. Please let us know if you require accommodations during the interview process by emailing . We are an Equal Opportunity Employer and value diversity in our teams in terms of work experience, area of expertise, and all characteristics protected by laws in the countries where we operate. For more information on our commitment to sustainability, diversity, and equal opportunity, please read our latest report . We want you to know your rights because EEO is the law. A Note to Job Applicants: please be aware of scams being perpetrated through the Internet and social media platforms. Clarios will never require a job applicant to pay money as part of the application or hiring process. To All Recruitment Agencies: Clarios does not accept unsolicited agency resumes/CVs. Please do not forward resumes/CVs to our careers email addresses, Clarios employees or any other company location. Clarios is not responsible for any fees related to unsolicited resumes/CVs.

Job Description Job Description Description: Company Description: ASG is a Minority- and Woman-Owned, Physician-Owned small business with over 15 years of experience in federal government contracting. We deliver a wide range of technology services, including software development, mobile apps, AI/ML, analytics, data science, big data, DevSecOps, digital transformation, cloud, and cybersecurity. ASG is CMMI Level 3 certified and holds ISO 9001:2015, 20000-1:2018, and 27001:2022 certifications . Job Description: ASG is seeking a Tools Technical Lead to own the technical leadership of enterprise tools and platforms within a highly dynamic federal healthcare environment, carrying deep, hands-on responsibility for the enterprise toolset supporting Client development teams. This is one of the most institutionally critical roles on the program given the breadth of tooling under management, and the role carries an explicit expectation of thorough documentation and knowledge-sharing given the historical concentration of tooling knowledge in a single individual. As the Tools Technical Lead, you will direct the technical approach, architecture decisions, and troubleshooting for the Tools Management team while remaining hands-on with the administration, integration, automation, and continuous improvement of the broad suite of tools that enable Agile development, DevSecOps practices, and collaboration across multiple teams. This position requires a strong technical foundation across cloud infrastructure, DevSecOps tooling, identity management, and enterprise system integrations, along with the judgment and communication skills to lead a team and represent tooling matters to Client stakeholders. What You Will Do: Serve as the primary technical authority for the enterprise tooling stack; direct the Tools Management team's technical approach, architecture decisions, and troubleshooting for complex, cross-tool issues. Provide technical direction to and oversee the Tools Management team, including workload distribution, technical mentorship, and cross-training of Systems Engineers. Serve as the Client-facing technical lead for tooling matters and coordinate with the Security team during the combined Security/Tools scrum cadence. Support operations and maintenance activities for enterprise tools used by development and operations teams. Administer and maintain Atlassian Tooling, Jira including workflows, permissions, automation rules, custom fields, and system upgrades. Manage and support Confluence, including space administration, user access, templates, plugin management, and upgrades. Oversee GitHub Enterprise repositories, including access controls, branching strategies, integrations, and license management. Configure and maintain Slack integrations, user provisioning, and communication workflows across enterprise teams. Administer MiniOrange and OKTA for identity and access management, including SSO (SAML/OAuth), MFA, and enterprise integrations. Manage and support SonarQube, including installation, configuration, upgrades, permissions, and code quality enforcement. Lead troubleshooting and resolution for tooling-related incidents and outages, and serve as the escalation point for complex, cross-tool issues, including Splunk, Jenkins/CloudBees CI, JFrog Artifactory, Grafana, Datadog, NewRelic, LaunchDarkly, and VictorOps. Perform tool upgrades, vulnerability checks, and compatibility assessments for plugins and integrations. Integrate enterprise tools with CI/CD pipelines and other systems to support secure and efficient development workflows. Support automation initiatives using tools such as Packer, Ansible, Selenium, and API-based frameworks. Assist in implementing DevSecOps and Infrastructure-as-Code practices using AWS, Terraform, and CloudFormation. Support monitoring and incident response activities using tools such as New Relic, Splunk, AWS CloudWatch, and similar platforms. Maintain comprehensive, current technical documentation of tool configurations, integrations, and dependencies, and develop SOPs and runbooks to support knowledge management and operational continuity, a designated priority for this role given the risk of concentrated, undocumented institutional knowledge. Ensure compliance with security requirements, including ATO support, API authentication, and Client governance processes. Perform additional duties assigned. Requirements: What We Need : Bachelor's degree in Computer Science, Information Systems, Engineering, or related field (or equivalent experience). 8+ years of experience supporting enterprise tools, systems engineering, or DevSecOps environments, including technical leadership of a multi-tool environment. Hands-on experience administering tools such as Jira, Confluence, GitHub, Slack, MiniOrange, OKTA, and/or SonarQube, along with the broader enterprise toolset (Splunk, Jenkins/CloudBees CI, JFrog Artifactory, Grafana, Datadog, NewRelic, LaunchDarkly, VictorOps). Experience with identity and access management, including SSO, SAML, OAuth, and LDAP integrations. Familiarity with cloud environments (AWS preferred) and Infrastructure-as-Code practices. Experience with CI/CD tools (e.g., CloudBees, Jenkins) and automation frameworks. Demonstrated ability to document and transfer complex technical knowledge, a critical requirement for this role. Strong troubleshooting and problem-solving skills with the ability to support multiple systems simultaneously. Experience working in Agile/DevSecOps environments supporting development teams. Strong communication skills with the ability to interact with technical and non-technical stakeholders, including Client-facing coordination. Experience in a federal or large enterprise environment; Federal Healthcare support experience strongly preferred. Ability to obtain and maintain required public trust clearance. Even Better: Experience supporting federal government environments, particularly federal healthcare systems. Familiarity with NIST, FISMA, and ATO processes. Experience with containerization and orchestration technologies. Knowledge of monitoring and observability platforms (Datadog, New Relic, Splunk). Experience developing automation scripts and improving operational efficiency. Atlassian, AWS, or DevSecOps-related certifications. Clearance Requirement: Ability to obtain and maintain public trust background investigation/clearance per client requirements. Additional Information: At ASG, we value diversity and always treat all employees and job applicants based on merit, qualifications, competence, and talent. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or status as a protected veteran. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us by sending an email to . We will treat your request as confidentially as possible. In your email, please include your name and preferred method of contact, and we will respond as soon as possible. Perks: At ASG, we want you to be well and thrive. Our benefits package includes: Healthcare Benefits Life Disability Paid Time Off 401k Matching Employee Referral Bonus Education Assistance Learning and Development resources EOE, including Disability/Veterans

Job Description Job Description: Job Description Crossflow Technologies has an exciting opportunity for a Configuration Manager located in Kettering, OH (WPAFB/Dayton, OH area) to support our EPASS GB contract. As part of the AFLCMC/GB Business and Enterprise Systems Directorate (BES), the Acquisition Business Systems Branch (GBBX). All GBBX programs/applications are merging towards a Common Portal Environment (CPE), in which all programs/applications will be accessed through a central dashboard. Furthermore, GBBX is migrating. all development activities towards an agile, Dev, Sec, Ops methodology, requiring the user community and functional sponsor representatives to be "hands-on" during the development process. The Configuration Manager will provide support ranging across the Configuration Management (CM), Quality Assurance (QA), Program Planning (PP), Risk Management (RM), and System Engineering (SE) activities which will vary depending upon the current activities of the program/system, scope of the current development/sustainment cycle, and other corporate and program initiatives. The contractor shall provide resources with progressive experience in technical writing, critical thinking and analysis, managing configuration of software, engineering documents, design drawings, engineering changes and notices, and planning/conducting design audits to enable government ownership of the program technical baseline. The contractor shall provide skills and experience necessary to perform the following tasks: • Provide and maintain CM of all relevant system artifacts, e.g., documentation, source code, build files, scripts, etc., to allow the government the capability to build and release a working copy of the system to the appropriate production environment;• Archive acquisition documentation; • Review and evaluate the Development/Sustainment Contractor's CM program and data deliveries for accuracy, completeness, and compliance; • Maintain CM files including configuration identification, change control, and status accounting records; • Implement CM plans; • Participate in cross-functional change control boards meetings such as, but not limited to, Configuration Control Board (CCB), Change Control Board (CCB), Functional Review Board (FRB), Requirements Review Board (RRB), etc., to record and manage proposed and approved changes; • Review the change control boards' membership list for currency and completeness; • Support Engineering Assessments; • Prepare for, conduct, and/or support major audits such as Physical Configuration Audits (PCAs) and Functional Configuration Audits (FCAs); • Record and maintain assessment and audit findings, minutes, and action items; • Report the Development/Sustainment Contractor's required software delivery status; • Support pre- and post-contract award data reviews via meeting attendance and capturing meeting minutes; • Review and evaluate the Development/Sustainment Contractor's conformance to CDRL requirements; • Manage Government and Development/Sustainment Contractor correspondence • Support the establishment of work flows; • Ensure configuration items are properly identified and documentation is accomplished; • Track configuration item deliverables and responses; • Support development/sustainment of paper and automated archival systems of all covered documentation; • Work closely with program management, systems engineers, quality managers, draftsmen and design/manufacturing engineers in an integrated product team environment; • Develop and administer configuration management plans; • Maintain design traceability and integrity; • Convene and manage change control boards; • Assist the Government with configuration control for ERP and IT systems. This shall include configuration planning, maintenance of configuration documentation and data, and maintaining inventory/configuration status accounting; • Manage configurations of software, engineering documents, design drawings, engineering changes and notices, and planning/conducting design audits with the required skills and experience necessary to work closely with program management, systems engineers, quality managers, and design engineers in an integrated product team environment; • Support requirements and change control boards via meeting attendance and capturing meeting minutes; • Track and manage proposed and approved changes, e.g., Engineering Change Proposals (ECPs), Change Requests (CRs), and Discrepancy Reports (DRs) / Problem Reports (PRs), throughout system development & sustainment lifecycle; • Ensure integrity of the baseline including major releases, minor releases, patches, and software maintenance; • Provide QA checks on system baselines, i.e., Functional, Allocated, Product; • Support Licensing tasks and packaging and delivering of software to users; • Maintain the CM library and software repository; • Manage and control system baselines; • Recommend and document comprehensive configuration management plans for software, hardware, firmware, and peripherals for IT systems; • Evaluate data and preparing plans and briefings in support of software-driven systems; • Evaluate and monitor effectiveness of configuration management plans to identify potential and existing problems and make recommendations for resolution; • Audit and review IT system configurations for compliance to required specifications; • Control the configuration of IT systems; and/or, • Develop and manage access and change control guidelines and procedures to avoid unauthorized access and changes to system configurations. Required Qualifications: The Configuration Manager has the knowledge, experience and recognized ability to be considered highly skilled in their technical/professional field. Possesses the ability to perform tasks independently and oversee the efforts of junior and journeyman contractor personnel within the technical/professional discipline. Demonstrates advanced knowledge of their technical/professional discipline as well as possess a comprehensive understanding and ability to apply associated standards, procedures and practices in their area of expertise (Program Office, Enterprise and Staff Level Support interface). • IT Configuration Management experience within the Department of Defense environment; • Formal training and knowledge of configuration management directives, standards, principles (Plan, Identify, Control, AuditNerify, Status Accounting), and techniques; • Experience performing HW and SW configuration audits; • Experience performing the technical administrative activities necessary to manage CM tools, e.g., Git, Gitlab, Jira, Confluence, Bitbucket, AWSConfig, Azure DevOps Server, Insight, Star Team, for inventory control, version control, data duplication, media labeling; • Experience producing release notes and CM reports; • In-depth understanding of the configuration change control process, the role of the Configuration/Change Control Board, and change control documentation; • Experience performing baseline administrative activities for multiple environments; • Performing written and oral communications; • Experience developing briefings for management • Understanding of all phases of the software development life cycle; • Ability to enter and manage system configuration items in a database; • Ability to provide critical analysis in the realm of problem identification and analysis, interpretation and understanding of links between ideas, research, identification of inconsistencies and errors, relevance confirmation, explanation and presentation, creative and open mindedness, evaluation and problem-solving; • Extensive technical writing experience to provide accurate, concise, and clear document designs, collaboration, presentation, and research skills needed to design productive workplace documents and presentations for a variety of purposes and audiences; and/or, • Assist in developing and administering configuration management plans, maintaining design traceability and integrity, convening and managing change control boards, and preparing for and attending major events such as, but not limited to, TIMs, PDRs, CDRs, PCAs, FCAs, and CCBs. Candidate must be a US Citizen - REQUIRED Candidate must possess and be able to maintain a T1/NACI - REQUIRED Master's or Doctorate Degree in a related field and ten years of experience in the respective technical/professional discipline being performed, five years of which must be in the DoD OR, Bachelor's Degree in a related field and 12 years of experience in the respective technical/professional discipline being performed, five of which must be in the DoD OR, 15 years of directly related experience with proper certifications as described in the PWS labor category performance requirements, eight of which must be in the DoD. Preferred Qualifications: Possessing any of the following certifications would be beneficial, but not required: • Certification in Software Configuration Management - Desired. • Certification in Agile Development - Desired, or • Scrum Master Certification - Desired Schedule: (M-F; 8-5) Work Location: Kettering, OH (Dayton/WPAFB)- Onsite Travel: 0-10% Relocation Assistance Available: No Position Contingent Upon Award of Contract: No Equal Opportunity/Affirmative Action Employer: Crossflow ensures that employment decisions and personnel actions are administered fairly, equitably, and in compliance with the federal, state, and local laws and regulations governing EEO and personnel management. All qualified individuals will receive consideration for employment opportunities without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Why Crossflow? Crossflow Technologies is proud to offer such wonderful benefits and perks to our employees; however, we feel the biggest perk is our company culture . click apply for full job details

Job Description Job Description Company Description VERSANT (Nasdaq: VSNT) is an industry-changing media and entertainment business and home to trusted brands that shape culture, inform audiences, and build lasting connections. It operates across four core markets: political news and opinion, business news and personal finance, golf, and sports and genre entertainment. These markets are served through a powerful portfolio of iconic and innovative brands, including CNBC, MS NOW, USA Network, Golf Channel, Oxygen, E!, SYFY, and Versant's sports division USA Sports, along with complementary digital assets including Fandango, Rotten Tomatoes, GolfNow and GolfPass. Job Description Versant is seeking a Technical Lead, Core HR Systems to lead the design, development, deployment, and ongoing support of key components of Versant's core HR ecosystem, centered on Workday. This role plays a critical hands-on lead DevOps position in delivering reliable, scalable solutions that support Versant's workforce with delivering SaaS and custom solutions. You will build and lead high-performing teams of engineers and solution leads responsible for platform architecture, delivery, integrations, and operational excellence. You will partner closely with stakeholders across Payroll, HR, Time, Broadcast and Sports Operations, Product, Data & Analytics, and Enterprise Technology to ensure HR & Payroll solutions are well-architected, secure, and aligned to business priorities. Key Responsibilities Platform Strategy & Architecture Contribute to the definition and execution of Core HR & Payroll platform standards, patterns, and roadmaps across HR, Payroll, Time, & Broadcast & Sports Operations Design and implement scalable, secure custom and SaaS solutions that meet defined business and technical requirements Ensure solutions align with architecture standards and integrate cleanly with upstream and downstream systems Evaluate and implement new technology capabilities (automation, AI features, data unification, packaged SaaS solutions) in support of product and business needs Collaborate with architecture, product, and data teams to ensure consistency and reusability across platforms Delivery & Operations Excellence Lead end-to-end delivery for Core HR & Payroll initiatives, from technical design through build, test, deployment, and post-go-live support Oversee technical delivery, release planning, and environment management to ensure stability and predictable releases Enforce best practices in DevOps, code quality, documentation, and automated testing Partner with integration, data, and infrastructure teams to ensure reliable interoperability and data flows Monitor platform performance and operational health, driving root-cause resolution and continuous improvement Partner & Team Leadership Serve a critical role as the Development Lead for Versant's planned transformation of their key HR & Payroll Systems Build and lead a blended organization of internal engineers, architects, and contracted delivery partners both on and offshore Serve as an accountable leader for contracted and managed service partners, ensuring delivery quality, cost effectiveness, and strategic alignment Define clear scopes of work, service-level expectations, and governance processes with delivery partners Foster a culture of collaboration, ownership, and learning - balancing partner execution with internal engineering capability Mentor and develop team members, driving engagement, accountability, and professional development Assist with managing budgets and resource plans, ensuring optimal allocation across initiatives Governance, Security & Stakeholder Alignment Ensure HR & Payroll solutions comply with corporate security, privacy, and regulatory requirements Adhere to established governance processes including change management, version control, and documentation Partner with Legal, Privacy, and Security teams to support secure handling of customer and business data Provide regular status updates on delivery progress, risks, and operational health to technology and business stakeholders Act as a trusted technical advisor for HR and Payroll engineering within cross-functional Qualifications Basic Requirements 6+ years of experience in software engineering, with at least 3 years leading medium to large engineering delivery teams (both on and offshore) 4+ Year of in-depth experience was a Workday developer with at least one full implementation cycle of Workday HMC while serving in a senior lead developer capacity Strong hands-on experience with Workday Studio, Enterprise Interface Builder (EIB), Core Connectors, and Workday APIs leveraging modern authentication protocols Experience architecting, developing, and deploying custom solutions with the Workday Extend and/or the Workday Build Ecosystem Strong hands-on experience designing and implementing data ingestion pipelines into Workday Prism for advanced analytics, reporting, and integrations. Experience with Workday Job Scheduling tools and managing a large array of integrations Experience configuring Workday's portal self-service experience including role-based landing pages, worklets, announcements, quick actions, and business processes. Proven experience delivering complex enterprise applications implementations with multiple integrations to multiple SaaS platforms. Strong experience delivering HR & Payroll solutions, especially with integrating HR Data and Benefits Experience leading agile teams and working within CI/CD and DevOps delivery models Strong communication skills with the ability to collaborate across technical and non-technical stakeholders Excellent communication, problem-solving, and stakeholder management skills Bachelor's degree in Computer Science, Engineering, Information Systems, or related field Desired Characteristics Experience in media, entertainment, or consumer-facing digital businesses Experience delivering HR & Payroll solutions with SAP & SuccessFactors Experience with API Management solutions (MuleSoft, Apigee, Kong) and applying an API first methodology to integration Familiarity with good UI/UX design principles as well as industry accessibility standards (WCAG) Familiarity with cloud platforms (Azure, Salesforce, AWS, GCP) Experience building custom web applications with React/JAVA Familiarity with Workday Canvas Kit Interest in modernizing custom and SaaS platforms and improving developer productivity Additional Information Location: New York City, NY or Englewood Cliffs, NJ - (Hybrid - 3 days onsite) Employees based in our Englewood Cliffs office have access to a variety of convenient on-site services and amenities, including free employee parking, complimentary electric vehicle charging stations, an on-site fitness center with locker rooms and towel service, and dry-cleaning drop-off and pick-up. To support an easier commute, shuttle service is also available to and from the Englewood Cliffs campus, with pickup locations across Manhattan's East Side and West Side, Brooklyn, Hoboken, Jersey City, Newark, and Secaucus. Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to . VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc. VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT . click apply for full job details

Job Description Job Description Company Description VERSANT (Nasdaq: VSNT) is an industry-changing media and entertainment business and home to trusted brands that shape culture, inform audiences, and build lasting connections. It operates across four core markets: political news and opinion, business news and personal finance, golf, and sports and genre entertainment. These markets are served through a powerful portfolio of iconic and innovative brands, including CNBC, MS NOW, USA Network, Golf Channel, Oxygen, E!, SYFY, and Versant's sports division USA Sports, along with complementary digital assets including Fandango, Rotten Tomatoes, GolfNow and GolfPass. Job Description Versant is seeking a Technical Lead, Core HR Systems to lead the design, development, deployment, and ongoing support of key components of Versant's core HR ecosystem, centered on Workday. This role plays a critical hands-on lead DevOps position in delivering reliable, scalable solutions that support Versant's workforce with delivering SaaS and custom solutions. You will build and lead high-performing teams of engineers and solution leads responsible for platform architecture, delivery, integrations, and operational excellence. You will partner closely with stakeholders across Payroll, HR, Time, Broadcast and Sports Operations, Product, Data & Analytics, and Enterprise Technology to ensure HR & Payroll solutions are well-architected, secure, and aligned to business priorities. Key Responsibilities Platform Strategy & Architecture Contribute to the definition and execution of Core HR & Payroll platform standards, patterns, and roadmaps across HR, Payroll, Time, & Broadcast & Sports Operations Design and implement scalable, secure custom and SaaS solutions that meet defined business and technical requirements Ensure solutions align with architecture standards and integrate cleanly with upstream and downstream systems Evaluate and implement new technology capabilities (automation, AI features, data unification, packaged SaaS solutions) in support of product and business needs Collaborate with architecture, product, and data teams to ensure consistency and reusability across platforms Delivery & Operations Excellence Lead end-to-end delivery for Core HR & Payroll initiatives, from technical design through build, test, deployment, and post-go-live support Oversee technical delivery, release planning, and environment management to ensure stability and predictable releases Enforce best practices in DevOps, code quality, documentation, and automated testing Partner with integration, data, and infrastructure teams to ensure reliable interoperability and data flows Monitor platform performance and operational health, driving root-cause resolution and continuous improvement Partner & Team Leadership Serve a critical role as the Development Lead for Versant's planned transformation of their key HR & Payroll Systems Build and lead a blended organization of internal engineers, architects, and contracted delivery partners both on and offshore Serve as an accountable leader for contracted and managed service partners, ensuring delivery quality, cost effectiveness, and strategic alignment Define clear scopes of work, service-level expectations, and governance processes with delivery partners Foster a culture of collaboration, ownership, and learning - balancing partner execution with internal engineering capability Mentor and develop team members, driving engagement, accountability, and professional development Assist with managing budgets and resource plans, ensuring optimal allocation across initiatives Governance, Security & Stakeholder Alignment Ensure HR & Payroll solutions comply with corporate security, privacy, and regulatory requirements Adhere to established governance processes including change management, version control, and documentation Partner with Legal, Privacy, and Security teams to support secure handling of customer and business data Provide regular status updates on delivery progress, risks, and operational health to technology and business stakeholders Act as a trusted technical advisor for HR and Payroll engineering within cross-functional Qualifications Basic Requirements 6+ years of experience in software engineering, with at least 3 years leading medium to large engineering delivery teams (both on and offshore) 4+ Year of in-depth experience was a Workday developer with at least one full implementation cycle of Workday HMC while serving in a senior lead developer capacity Strong hands-on experience with Workday Studio, Enterprise Interface Builder (EIB), Core Connectors, and Workday APIs leveraging modern authentication protocols Experience architecting, developing, and deploying custom solutions with the Workday Extend and/or the Workday Build Ecosystem Strong hands-on experience designing and implementing data ingestion pipelines into Workday Prism for advanced analytics, reporting, and integrations. Experience with Workday Job Scheduling tools and managing a large array of integrations Experience configuring Workday's portal self-service experience including role-based landing pages, worklets, announcements, quick actions, and business processes. Proven experience delivering complex enterprise applications implementations with multiple integrations to multiple SaaS platforms. Strong experience delivering HR & Payroll solutions, especially with integrating HR Data and Benefits Experience leading agile teams and working within CI/CD and DevOps delivery models Strong communication skills with the ability to collaborate across technical and non-technical stakeholders Excellent communication, problem-solving, and stakeholder management skills Bachelor's degree in Computer Science, Engineering, Information Systems, or related field Desired Characteristics Experience in media, entertainment, or consumer-facing digital businesses Experience delivering HR & Payroll solutions with SAP & SuccessFactors Experience with API Management solutions (MuleSoft, Apigee, Kong) and applying an API first methodology to integration Familiarity with good UI/UX design principles as well as industry accessibility standards (WCAG) Familiarity with cloud platforms (Azure, Salesforce, AWS, GCP) Experience building custom web applications with React/JAVA Familiarity with Workday Canvas Kit Interest in modernizing custom and SaaS platforms and improving developer productivity Additional Information Location: New York City, NY or Englewood Cliffs, NJ - (Hybrid - 3 days onsite) Employees based in our Englewood Cliffs office have access to a variety of convenient on-site services and amenities, including free employee parking, complimentary electric vehicle charging stations, an on-site fitness center with locker rooms and towel service, and dry-cleaning drop-off and pick-up. To support an easier commute, shuttle service is also available to and from the Englewood Cliffs campus, with pickup locations across Manhattan's East Side and West Side, Brooklyn, Hoboken, Jersey City, Newark, and Secaucus. Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to . VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc. VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT . click apply for full job details

Job Description Job Description As a Systems Engineer supporting the Government, you will be trusted with supporting an enterprise - wide Identity, Credential, and Access Management (ICAM) implementation effort, as well as Identity Access Management (IAM) solutions and systems to facilitate User Life-Cycle Management. In this role, a typical day may include: Installing, configuring, and deploying Radiant Logic: migrate code and data, integration with other systems for automation, etc. Participating in system development to include design, modeling, security, integration, and formal testing of an ICAM solution Installing, integrating, configuring, and deploying Identity Access Management (IAM) solutions and systems to facilitate User Life-Cycle Management Creating, validating, and justifying security solutions and designs consistent with Government customer objectives and best practices Engaging with Government stakeholders to gather project requirements and develop complex solutions towards resolution Providing appropriate access to applications, systems, and data with advanced authentication May coach and provide guidance to less experienced professionals Requirements Expertise in designing, implementing, operating, upgrading, and maintaining Radiant Logic Virtual Directory Service (VDS) including Federated Identity Management (FIM) Experience with Windows servers, databases, application servers, etc. Experience with Active Directory and LDAP Experience with Radiant Logic and/or SailPoint products DoD 8570 Certification IAT-II, including: CCNA-Security, CySA+, GICSP, GSEC, Security+ CE, CND, or SSCP Top Secret/SCI Clearance with the ability to obtain a counter-intelligence polygraph 10+ years experience in relevant field Desired Experience with supporting IAM in a Cloud environment, including Azure or AWS Experience with ServiceNow Benefits Essential Network Security (ENS) Solutions, LLC is a service-disabled veteran-owned, highly regarded IT consulting and management firm. Since 2014, ENS Solutions has been a trusted partner for the Department of Defense (DoD) and Intelligence Community (IC), providing innovative solutions in the core competency areas of Identity, Credential and Access Management (ICAM), Software Development, Cyber and Network Security, Systems Engineering, Program/Project Management and IT support. Our mission is to provide solutions and services that yield enduring results in support of the United States. ENS Solutions has been able to maintain a standard of excellence in our relationships while delivering scalable and collaborative infrastructure to our clients, as well as a culture of growth, balance and value for our employees. Why ENS? Free Health, Dental and Vision insurance coverage 401k Contribution from Day 1 PTO + 11 Paid Federal Holidays Long & Short Term Disability Insurance Group Term Life Insurance Tuition, Certification & Professional Development Assistance Workers' Compensation Relocation Assistance Flexible work schedules Candidate AI Usage Policy AI tools are an important part of daily work at ENS Solutions, and we are committed to their responsible and ethical use. To ensure a fair and equitable candidate evaluation based on individual skills, knowledge, and experience, candidates are not permitted to use artificial intelligence or other assistive tools during interviews, whether in person or virtual, unless explicit permission has been granted in advance.

Job Description Job Description As a Systems Engineer supporting the Government, you will be trusted with supporting an enterprise - wide Identity, Credential, and Access Management (ICAM) implementation effort, as well as Identity Access Management (IAM) solutions and systems to facilitate User Life-Cycle Management. In this role, a typical day may include: Installing, configuring, and deploying Radiant Logic: migrate code and data, integration with other systems for automation, etc. Participating in system development to include design, modeling, security, integration, and formal testing of an ICAM solution Installing, integrating, configuring, and deploying Identity Access Management (IAM) solutions and systems to facilitate User Life-Cycle Management Creating, validating, and justifying security solutions and designs consistent with Government customer objectives and best practices Engaging with Government stakeholders to gather project requirements and develop complex solutions towards resolution Providing appropriate access to applications, systems, and data with advanced authentication May coach and provide guidance to less experienced professionals Requirements Expertise in designing, implementing, operating, upgrading, and maintaining Radiant Logic Virtual Directory Service (VDS) including Federated Identity Management (FIM) Experience with Windows servers, databases, application servers, etc. Experience with Active Directory and LDAP Experience with Radiant Logic and/or SailPoint products DoD 8570 Certification IAT-II, including: CCNA-Security, CySA+, GICSP, GSEC, Security+ CE, CND, or SSCP Top Secret/SCI Clearance with the ability to obtain a counter-intelligence polygraph 10+ years experience in relevant field Desired Experience with supporting IAM in a Cloud environment, including Azure or AWS Experience with ServiceNow Benefits Essential Network Security (ENS) Solutions, LLC is a service-disabled veteran-owned, highly regarded IT consulting and management firm. Since 2014, ENS Solutions has been a trusted partner for the Department of Defense (DoD) and Intelligence Community (IC), providing innovative solutions in the core competency areas of Identity, Credential and Access Management (ICAM), Software Development, Cyber and Network Security, Systems Engineering, Program/Project Management and IT support. Our mission is to provide solutions and services that yield enduring results in support of the United States. ENS Solutions has been able to maintain a standard of excellence in our relationships while delivering scalable and collaborative infrastructure to our clients, as well as a culture of growth, balance and value for our employees. Why ENS? Free Health, Dental and Vision insurance coverage 401k Contribution from Day 1 PTO + 11 Paid Federal Holidays Long & Short Term Disability Insurance Group Term Life Insurance Tuition, Certification & Professional Development Assistance Workers' Compensation Relocation Assistance Flexible work schedules Candidate AI Usage Policy AI tools are an important part of daily work at ENS Solutions, and we are committed to their responsible and ethical use. To ensure a fair and equitable candidate evaluation based on individual skills, knowledge, and experience, candidates are not permitted to use artificial intelligence or other assistive tools during interviews, whether in person or virtual, unless explicit permission has been granted in advance.

Senior Manager, Machine Learning Engineer Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Machine Learning Engineer 5 McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5 San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5 San Jose, CA: $250,800 - $286,200 for Machine Learning Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Manager, Machine Learning Engineer Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Machine Learning Engineer 5 McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5 San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5 San Jose, CA: $250,800 - $286,200 for Machine Learning Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description Job Description As a Systems Engineer supporting the Government, you will be trusted with supporting an enterprise - wide Identity, Credential, and Access Management (ICAM) implementation effort, as well as Identity Access Management (IAM) solutions and systems to facilitate User Life-Cycle Management. In this role, a typical day may include: Installing, configuring, and deploying Radiant Logic: migrate code and data, integration with other systems for automation, etc. Participating in system development to include design, modeling, security, integration, and formal testing of an ICAM solution Installing, integrating, configuring, and deploying Identity Access Management (IAM) solutions and systems to facilitate User Life-Cycle Management Creating, validating, and justifying security solutions and designs consistent with Government customer objectives and best practices Engaging with Government stakeholders to gather project requirements and develop complex solutions towards resolution Providing appropriate access to applications, systems, and data with advanced authentication May coach and provide guidance to less experienced professionals Requirements Expertise in designing, implementing, operating, upgrading, and maintaining Radiant Logic Virtual Directory Service (VDS) including Federated Identity Management (FIM) Experience with Windows servers, databases, application servers, etc. Experience with Active Directory and LDAP Experience with Radiant Logic and/or SailPoint products DoD 8570 Certification IAT-II, including: CCNA-Security, CySA+, GICSP, GSEC, Security+ CE, CND, or SSCP Top Secret/SCI Clearance with the ability to obtain a counter-intelligence polygraph 10+ years experience in relevant field Desired Experience with supporting IAM in a Cloud environment, including Azure or AWS Experience with ServiceNow Benefits Essential Network Security (ENS) Solutions, LLC is a service-disabled veteran-owned, highly regarded IT consulting and management firm. Since 2014, ENS Solutions has been a trusted partner for the Department of Defense (DoD) and Intelligence Community (IC), providing innovative solutions in the core competency areas of Identity, Credential and Access Management (ICAM), Software Development, Cyber and Network Security, Systems Engineering, Program/Project Management and IT support. Our mission is to provide solutions and services that yield enduring results in support of the United States. ENS Solutions has been able to maintain a standard of excellence in our relationships while delivering scalable and collaborative infrastructure to our clients, as well as a culture of growth, balance and value for our employees. Why ENS? Free Health, Dental and Vision insurance coverage 401k Contribution from Day 1 PTO + 11 Paid Federal Holidays Long & Short Term Disability Insurance Group Term Life Insurance Tuition, Certification & Professional Development Assistance Workers' Compensation Relocation Assistance Flexible work schedules Candidate AI Usage Policy AI tools are an important part of daily work at ENS Solutions, and we are committed to their responsible and ethical use. To ensure a fair and equitable candidate evaluation based on individual skills, knowledge, and experience, candidates are not permitted to use artificial intelligence or other assistive tools during interviews, whether in person or virtual, unless explicit permission has been granted in advance.