Cobalt Benefits Group LLC
Manchester, New Hampshire
Description: Cobalt Benefits Group is seeking an Information Security Analyst to help safeguard information assets and technology services across cloud and on-premises environments. The analyst will monitor security controls, investigate alerts, coordinate remediation, and improve the organization's ability to prevent, detect, and respond to cybersecurity risk. The successful candidate will bring practical experience across multiple security domains rather than expertise in a single vendor platform. The role works closely with IT Operations, infrastructure, and application teams in a regulated environment. Security Operations & Incident Response Monitor managed detection and response, endpoint, identity, email, network, cloud, and security analytics platforms for suspicious activity. Triage and investigate alerts; document findings; coordinate containment, remediation, recovery, and post-incident follow-up. Analyze event, identity, endpoint, cloud, application, and network logs to distinguish security incidents from expected activity and false positives. Maintain incident response plans, investigation procedures, escalation paths and case documentation. Cloud, Identity & Secure Access Assess and improve security across public cloud subscriptions, storage, workloads, applications, and hybrid connectivity. Administer identity and access controls including multifactor authentication, conditional access, role-based access, privileged access, service identities, access reviews, and joiner-mover-leaver processes. Support Zero Trust and secure access services for private applications. Partner with administrators and engineers to design secure access for cloud data platforms, application hosting, and future AI-enabled services. Data Protection, Human Risk & Insider Risk Operate data security posture management capabilities to discover sensitive data, excessive access, shadow data, orphaned files, and insecure sharing. Administer data loss prevention controls across email, endpoints, collaboration platforms, cloud services, applications, and file repositories. Support data discovery, classification, information protection, retention, encryption, and remediation workflows for regulated and confidential information. Administer security awareness training, phishing simulations, targeted education, completion tracking, and human-risk reporting. Endpoint, Network & Application Security Support endpoint detection and response, device security, mobile device management, application control, browser protection, and workstation security baselines. Coordinate vulnerability and exposure management across endpoints, servers, network devices, databases, applications, and cloud workloads and prioritize remediation through patching. Assess application and infrastructure changes for secure configuration, logging, access, data protection, and resilience requirements. Monitor security systems, including firewalls, intrusion detection systems, to detect and respond to security incidents in a timely manner. Collaborate on operating system, application, firmware, and security patching; validate remediation and document accepted exceptions. Resilience, Governance & Continuous Improvement Support backup, recovery, immutable storage, business continuity, and disaster recovery security requirements. Maintain policies, standards, procedures, diagrams, and inventories. Contribute to automation and repeatable analysis using scripting, query languages, and workflow integrations. Evaluate emerging security requirements for cloud, software-as-a-service, and AI Agents. Partner with business and technology stakeholders to establish AI governance, security controls, and risk management practices that enable the responsible use of generative AI, AI agents, automation, and machine-to-machine services. Contribute to the organization's AI Risk Management Framework (AI RMF) program by supporting AI inventory management, risk assessments, control validations, policy development, monitoring activities, and ongoing governance reviews. Requirements: Job Requirements Bachelor's degree in Cybersecurity, Computer Science, Information Technology, or a related field, or equivalent relevant experience. Three to five years of experience in security operations, cloud security, infrastructure security, or a comparable role. Hands-on experience investigating alerts and working across endpoint, identity, email, network, cloud, and data security controls. Experience with vulnerability assessment, remediation tracking, patch management, incident response, and security control validation. Understanding of data discovery, classification, data loss prevention, sensitive-information handling, and insider-risk concepts. Ability to explain technical findings, business impact, and recommended actions to both technical and non-technical audiences. Strong judgment, discretion, documentation, analytical thinking, and the ability to manage multiple priorities. Preferred Qualifications Experience in a regulated environment and familiarity with security or compliance frameworks such as NIST, MITRE ATT&CK, SOC 2, or HITRUST. Experience securing hybrid environments with cloud infrastructure, productivity platforms, on-premises systems, virtualized infrastructure, and software-as-a-service applications. Working knowledge of cloud security, identity governance, and hybrid infrastructure. Familiarity with security information and event management, extended detection and response, cloud security posture management, web application protection, and security orchestration. Experience with scripting or security analytics using PowerShell, query languages, or comparable automation methods. Relevant industry or cloud security certifications Equal Opportunity Employer, including disability/protected veterans Compensation details: 00 Yearly Salary PIef2d3b3d6-
09/29/2026
Full time
Description: Cobalt Benefits Group is seeking an Information Security Analyst to help safeguard information assets and technology services across cloud and on-premises environments. The analyst will monitor security controls, investigate alerts, coordinate remediation, and improve the organization's ability to prevent, detect, and respond to cybersecurity risk. The successful candidate will bring practical experience across multiple security domains rather than expertise in a single vendor platform. The role works closely with IT Operations, infrastructure, and application teams in a regulated environment. Security Operations & Incident Response Monitor managed detection and response, endpoint, identity, email, network, cloud, and security analytics platforms for suspicious activity. Triage and investigate alerts; document findings; coordinate containment, remediation, recovery, and post-incident follow-up. Analyze event, identity, endpoint, cloud, application, and network logs to distinguish security incidents from expected activity and false positives. Maintain incident response plans, investigation procedures, escalation paths and case documentation. Cloud, Identity & Secure Access Assess and improve security across public cloud subscriptions, storage, workloads, applications, and hybrid connectivity. Administer identity and access controls including multifactor authentication, conditional access, role-based access, privileged access, service identities, access reviews, and joiner-mover-leaver processes. Support Zero Trust and secure access services for private applications. Partner with administrators and engineers to design secure access for cloud data platforms, application hosting, and future AI-enabled services. Data Protection, Human Risk & Insider Risk Operate data security posture management capabilities to discover sensitive data, excessive access, shadow data, orphaned files, and insecure sharing. Administer data loss prevention controls across email, endpoints, collaboration platforms, cloud services, applications, and file repositories. Support data discovery, classification, information protection, retention, encryption, and remediation workflows for regulated and confidential information. Administer security awareness training, phishing simulations, targeted education, completion tracking, and human-risk reporting. Endpoint, Network & Application Security Support endpoint detection and response, device security, mobile device management, application control, browser protection, and workstation security baselines. Coordinate vulnerability and exposure management across endpoints, servers, network devices, databases, applications, and cloud workloads and prioritize remediation through patching. Assess application and infrastructure changes for secure configuration, logging, access, data protection, and resilience requirements. Monitor security systems, including firewalls, intrusion detection systems, to detect and respond to security incidents in a timely manner. Collaborate on operating system, application, firmware, and security patching; validate remediation and document accepted exceptions. Resilience, Governance & Continuous Improvement Support backup, recovery, immutable storage, business continuity, and disaster recovery security requirements. Maintain policies, standards, procedures, diagrams, and inventories. Contribute to automation and repeatable analysis using scripting, query languages, and workflow integrations. Evaluate emerging security requirements for cloud, software-as-a-service, and AI Agents. Partner with business and technology stakeholders to establish AI governance, security controls, and risk management practices that enable the responsible use of generative AI, AI agents, automation, and machine-to-machine services. Contribute to the organization's AI Risk Management Framework (AI RMF) program by supporting AI inventory management, risk assessments, control validations, policy development, monitoring activities, and ongoing governance reviews. Requirements: Job Requirements Bachelor's degree in Cybersecurity, Computer Science, Information Technology, or a related field, or equivalent relevant experience. Three to five years of experience in security operations, cloud security, infrastructure security, or a comparable role. Hands-on experience investigating alerts and working across endpoint, identity, email, network, cloud, and data security controls. Experience with vulnerability assessment, remediation tracking, patch management, incident response, and security control validation. Understanding of data discovery, classification, data loss prevention, sensitive-information handling, and insider-risk concepts. Ability to explain technical findings, business impact, and recommended actions to both technical and non-technical audiences. Strong judgment, discretion, documentation, analytical thinking, and the ability to manage multiple priorities. Preferred Qualifications Experience in a regulated environment and familiarity with security or compliance frameworks such as NIST, MITRE ATT&CK, SOC 2, or HITRUST. Experience securing hybrid environments with cloud infrastructure, productivity platforms, on-premises systems, virtualized infrastructure, and software-as-a-service applications. Working knowledge of cloud security, identity governance, and hybrid infrastructure. Familiarity with security information and event management, extended detection and response, cloud security posture management, web application protection, and security orchestration. Experience with scripting or security analytics using PowerShell, query languages, or comparable automation methods. Relevant industry or cloud security certifications Equal Opportunity Employer, including disability/protected veterans Compensation details: 00 Yearly Salary PIef2d3b3d6-
A Snapshot of Your Day As a Manufacturing Engineer - Automation & Digitalization with Siemens Energy's Blades and Vanes team, you will lead the development and continuous improvement of advanced manufacturing automation in the investment casting facility. Your role will involve serving as the technical lead for automation projects, defining system requirements, developing specifications, evaluating suppliers, and overseeing the design, build, testing, and commissioning of automated systems. You will focus on robotics and material handling automation, including conveyor systems, pick-and-place robots, and AGV/AMR technologies. Collaboration with operations, maintenance, quality, engineering, and external suppliers will be essential to transform manufacturing processes through innovative automation technologies that enhance safety, quality, productivity, and operational excellence. How You'll Make an Impact Define user requirements, functional specifications, and technical requirements for automation and robotics projects, focusing on investment casting processes such as wax operations, shell manufacturing, and material handling. Design and optimize automation solutions, specifying and integrating advanced manufacturing technologies, including conveyor systems, robotic systems, machine vision, AGV/AMR solutions, and collaborative robots (cobots). Develop automation architectures that incorporate PLCs, HMIs, SCADA systems, and robotics controllers, while establishing automation standards and safety requirements in accordance with industry standards. Create RFQs and technical bid packages for automation and robotic system procurements, leading supplier identification and technical evaluations to ensure compliance with project requirements. Manage automation suppliers and system integrators through concept development, design, fabrication, installation, and startup phases, ensuring adherence to Siemens Energy standards. Oversee Factory Acceptance Testing (FAT) and Site Acceptance Testing (SAT), validating system performance against defined KPIs and troubleshooting integration issues to achieve targeted operational objectives. What You Bring Bachelor's degree in Automation Engineering, Electrical Engineering, Mechanical Engineering, Mechatronics Engineering, Industrial Engineering, Manufacturing Engineering, or a related field, with 5+ years of experience in manufacturing automation, robotics, or advanced manufacturing systems (3+ years with an advanced degree). Proven experience in specifying, selecting, implementing, and commissioning industrial automation equipment and robotic systems, including hands-on experience with PLC platforms (Siemens, Allen-Bradley, or equivalent) and HMI/SCADA systems. Experience leading automation capital projects from concept development through startup and operational handoff, including developing technical specifications, RFQs, and supplier evaluation criteria. Knowledge of industrial robotics platforms (FANUC, ABB, KUKA, Universal Robots, or similar) and experience integrating conveyor systems, robotic cells, machine vision systems, AGVs/AMRs, and automated material handling solutions. Strong understanding of machine safety principles, risk assessments, and applicable automation standards, with experience conducting Factory Acceptance Testing (FAT), Site Acceptance Testing (SAT), and commissioning activities. This position may require an export license from the Department of Commerce, Bureau of Industry and Security and/or the Department of State, Directorate of Defense Trade Controls. Issuance of any required license is a prerequisite for this position. Applicants must be legally authorized for employment in the United States without need for current or future employer-sponsored work authorization. Siemens Energy employees with current visa sponsorship may be eligible for internal transfers. About the Team Our Gas Services division offers Low-emission power generation through service and decarbonization. Zero or low emission power generation and all gas turbines under one roof, steam turbines and generators. Decarbonization opportunities through service offerings, modernization, and digitalization of the fleet. Who is Siemens Energy? At Siemens Energy, we are more than just an energy technology company. With 100,000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation. Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation. Find out how you can make a difference at Siemens Energy: Rewards Career growth and development opportunities Supportive work culture Company paid Health and wellness benefits Paid Time Off and paid holidays 401K savings plan with company match Family building benefits Parental leave Jobs & Careers:
09/29/2026
Full time
A Snapshot of Your Day As a Manufacturing Engineer - Automation & Digitalization with Siemens Energy's Blades and Vanes team, you will lead the development and continuous improvement of advanced manufacturing automation in the investment casting facility. Your role will involve serving as the technical lead for automation projects, defining system requirements, developing specifications, evaluating suppliers, and overseeing the design, build, testing, and commissioning of automated systems. You will focus on robotics and material handling automation, including conveyor systems, pick-and-place robots, and AGV/AMR technologies. Collaboration with operations, maintenance, quality, engineering, and external suppliers will be essential to transform manufacturing processes through innovative automation technologies that enhance safety, quality, productivity, and operational excellence. How You'll Make an Impact Define user requirements, functional specifications, and technical requirements for automation and robotics projects, focusing on investment casting processes such as wax operations, shell manufacturing, and material handling. Design and optimize automation solutions, specifying and integrating advanced manufacturing technologies, including conveyor systems, robotic systems, machine vision, AGV/AMR solutions, and collaborative robots (cobots). Develop automation architectures that incorporate PLCs, HMIs, SCADA systems, and robotics controllers, while establishing automation standards and safety requirements in accordance with industry standards. Create RFQs and technical bid packages for automation and robotic system procurements, leading supplier identification and technical evaluations to ensure compliance with project requirements. Manage automation suppliers and system integrators through concept development, design, fabrication, installation, and startup phases, ensuring adherence to Siemens Energy standards. Oversee Factory Acceptance Testing (FAT) and Site Acceptance Testing (SAT), validating system performance against defined KPIs and troubleshooting integration issues to achieve targeted operational objectives. What You Bring Bachelor's degree in Automation Engineering, Electrical Engineering, Mechanical Engineering, Mechatronics Engineering, Industrial Engineering, Manufacturing Engineering, or a related field, with 5+ years of experience in manufacturing automation, robotics, or advanced manufacturing systems (3+ years with an advanced degree). Proven experience in specifying, selecting, implementing, and commissioning industrial automation equipment and robotic systems, including hands-on experience with PLC platforms (Siemens, Allen-Bradley, or equivalent) and HMI/SCADA systems. Experience leading automation capital projects from concept development through startup and operational handoff, including developing technical specifications, RFQs, and supplier evaluation criteria. Knowledge of industrial robotics platforms (FANUC, ABB, KUKA, Universal Robots, or similar) and experience integrating conveyor systems, robotic cells, machine vision systems, AGVs/AMRs, and automated material handling solutions. Strong understanding of machine safety principles, risk assessments, and applicable automation standards, with experience conducting Factory Acceptance Testing (FAT), Site Acceptance Testing (SAT), and commissioning activities. This position may require an export license from the Department of Commerce, Bureau of Industry and Security and/or the Department of State, Directorate of Defense Trade Controls. Issuance of any required license is a prerequisite for this position. Applicants must be legally authorized for employment in the United States without need for current or future employer-sponsored work authorization. Siemens Energy employees with current visa sponsorship may be eligible for internal transfers. About the Team Our Gas Services division offers Low-emission power generation through service and decarbonization. Zero or low emission power generation and all gas turbines under one roof, steam turbines and generators. Decarbonization opportunities through service offerings, modernization, and digitalization of the fleet. Who is Siemens Energy? At Siemens Energy, we are more than just an energy technology company. With 100,000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation. Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation. Find out how you can make a difference at Siemens Energy: Rewards Career growth and development opportunities Supportive work culture Company paid Health and wellness benefits Paid Time Off and paid holidays 401K savings plan with company match Family building benefits Parental leave Jobs & Careers:
Job Description: Providing air traffic control and airport surface safety and efficiency systems and tools, we are dedicated to creating aviation systems and services that enable safe, predictable and efficient operations. We deliver innovative solutions to Air Navigation Service Providers (ANSPs), airports and airlines at over 100 locations in more than 45 countries. As a global leading partner and provider of proven Air Traffic Monitoring (ATM) solutions, we transform operations, turning innovative ideas into reality and supporting stakeholders from solution conception through long-term support. We are currently seeking a motivated, enthusiastic Senior Staff Systems Engineer interested in designing, deploying, integrating, tuning, and commissioning advanced ATM systems as part of our Automation and Surveillance team. This position offers opportunities to travel internationally, acquire a diverse range of practical engineering experience, and interact with customers around the world. Currently, we are seeking an engineer to support the execution of ATM projects for several airports in Australia. Job Responsibilities include: Understand customer requirements (including safety and security standards) and decompose them to generate system designs and architectures, hardware requirements, and software requirements. Perform design analysis and trade studies. Lead small, interdisciplinary teams to develop detailed designs and technical and programmatic artifacts. Develop technical documentation and presentation materials for design reviews. Lead programmatic and technical discussions with customers. Help integrate, configure, and test systems in the factory and in the deployed environment. Work collaboratively with customers, prime contractors, and subcontractors to integrate systems and subsystems. Analyze and reduce large datasets to quantify system performance, investigate anomalies, and develop solutions. Support proposal activities by analyzing requirements, assessing compliance/NRE, providing cost and schedule input, and providing/editing technical written material. Utilize and improve existing Saab processes, policies, and products. Provide mentoring and oversight to less-experienced engineers. Compensation: $132,000 - $171,600 The compensation range provided is a general guideline. When extending an offer, Saab, Inc. considers factors including (but not limited to) the role and associated responsibilities, location, and market and business considerations, as well as the candidate's work experience, key skills, and education/training. Skills and Experience: A bachelor's degree in engineering, physics or computer science from an accredited institution or relevant military education & training 15+ years of relevant experience Opportunity for international travel (up to 10%) Computer programming experience in a high-level language such as Matlab, C/C++, Java, etc. The ability to work effectively in a dynamic, fast-paced, team environment. Strong interpersonal and teamwork skills. Demonstrated personal time management, planning, and organizing skills. Technical project planning skills (including providing cost and schedule estimates). Drive to take ownership of project execution. Desired Expertise: Knowledge of Air Traffic Surveillance and Control systems including international ATC terminology, standards and procedures Familiarity with Linux and Windows operating systems Familiarity with IP networks including Firewalls The successful candidate will have: Strong analytical thinking and problem-solving skills. Ability to identify, understand, and proactively manage risks. The ability to effectively communicate (written and verbal), including presenting to and collaborating with both technical and non-technical colleagues and customers. The ability to generate high-quality technical documentation, including architecture documents, test plans and procedures, reports, and white papers. An interest in international travel and the ability to work with technical counterparts from different countries and cultures around the world. Citizenship Requirements: Must be a U.S. citizen, Permanent Resident (green card holder), or protected individual as defined by 8 U.S.C. 1324b(a)(3). Drug-Free Workplaces: Saab is a federal government contractor and adheres to policies and programs necessary for sustaining drug-free workplaces. As a condition of employment, candidates will be required to pass a pre-employment drug screen. Benefits: Saab provides an excellent working environment offering professional growth opportunities, competitive wages, work-life balance, a business casual atmosphere and comprehensive benefits. Highlights include: Medical, vision, and dental insurance for employees and dependents Generous paid time off, including 8 designated holidays 401(k) with employer contributions Tuition assistance and student loan assistance Wellness and employee assistance resources Employee stock purchase opportunities Short-term and long-term disability coverage About Us: Saab is a leading defense and security company with an enduring purpose, to help nations keep their people and society safe. Empowered by its 28,000 talented people, Saab constantly pushes the boundaries of technology to create a safer and more sustainable world. In the U.S., Saab delivers advanced technology and systems, supporting the U.S. Armed Forces and the Federal Aviation Administration, as well as international and commercial partners. Headquartered in Syracuse, New York, the company has business units and local employees in ten U.S. locations. Saab is a company where we see diversity as an asset and offer unlimited opportunities for advancing in your career. We are also a company that respects each person's needs and encourage employees to lead a balanced, rewarding life beyond work. Saab values diversity and is an Affirmative Action employer for protected veterans and individuals with disabilities. Saab is an Equal Employment Opportunity employer, all qualified individuals are encouraged to apply and will be considered for employment without regard to race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, age, veteran, disability status, or any other federal, state, or locally protected category.
09/29/2026
Full time
Job Description: Providing air traffic control and airport surface safety and efficiency systems and tools, we are dedicated to creating aviation systems and services that enable safe, predictable and efficient operations. We deliver innovative solutions to Air Navigation Service Providers (ANSPs), airports and airlines at over 100 locations in more than 45 countries. As a global leading partner and provider of proven Air Traffic Monitoring (ATM) solutions, we transform operations, turning innovative ideas into reality and supporting stakeholders from solution conception through long-term support. We are currently seeking a motivated, enthusiastic Senior Staff Systems Engineer interested in designing, deploying, integrating, tuning, and commissioning advanced ATM systems as part of our Automation and Surveillance team. This position offers opportunities to travel internationally, acquire a diverse range of practical engineering experience, and interact with customers around the world. Currently, we are seeking an engineer to support the execution of ATM projects for several airports in Australia. Job Responsibilities include: Understand customer requirements (including safety and security standards) and decompose them to generate system designs and architectures, hardware requirements, and software requirements. Perform design analysis and trade studies. Lead small, interdisciplinary teams to develop detailed designs and technical and programmatic artifacts. Develop technical documentation and presentation materials for design reviews. Lead programmatic and technical discussions with customers. Help integrate, configure, and test systems in the factory and in the deployed environment. Work collaboratively with customers, prime contractors, and subcontractors to integrate systems and subsystems. Analyze and reduce large datasets to quantify system performance, investigate anomalies, and develop solutions. Support proposal activities by analyzing requirements, assessing compliance/NRE, providing cost and schedule input, and providing/editing technical written material. Utilize and improve existing Saab processes, policies, and products. Provide mentoring and oversight to less-experienced engineers. Compensation: $132,000 - $171,600 The compensation range provided is a general guideline. When extending an offer, Saab, Inc. considers factors including (but not limited to) the role and associated responsibilities, location, and market and business considerations, as well as the candidate's work experience, key skills, and education/training. Skills and Experience: A bachelor's degree in engineering, physics or computer science from an accredited institution or relevant military education & training 15+ years of relevant experience Opportunity for international travel (up to 10%) Computer programming experience in a high-level language such as Matlab, C/C++, Java, etc. The ability to work effectively in a dynamic, fast-paced, team environment. Strong interpersonal and teamwork skills. Demonstrated personal time management, planning, and organizing skills. Technical project planning skills (including providing cost and schedule estimates). Drive to take ownership of project execution. Desired Expertise: Knowledge of Air Traffic Surveillance and Control systems including international ATC terminology, standards and procedures Familiarity with Linux and Windows operating systems Familiarity with IP networks including Firewalls The successful candidate will have: Strong analytical thinking and problem-solving skills. Ability to identify, understand, and proactively manage risks. The ability to effectively communicate (written and verbal), including presenting to and collaborating with both technical and non-technical colleagues and customers. The ability to generate high-quality technical documentation, including architecture documents, test plans and procedures, reports, and white papers. An interest in international travel and the ability to work with technical counterparts from different countries and cultures around the world. Citizenship Requirements: Must be a U.S. citizen, Permanent Resident (green card holder), or protected individual as defined by 8 U.S.C. 1324b(a)(3). Drug-Free Workplaces: Saab is a federal government contractor and adheres to policies and programs necessary for sustaining drug-free workplaces. As a condition of employment, candidates will be required to pass a pre-employment drug screen. Benefits: Saab provides an excellent working environment offering professional growth opportunities, competitive wages, work-life balance, a business casual atmosphere and comprehensive benefits. Highlights include: Medical, vision, and dental insurance for employees and dependents Generous paid time off, including 8 designated holidays 401(k) with employer contributions Tuition assistance and student loan assistance Wellness and employee assistance resources Employee stock purchase opportunities Short-term and long-term disability coverage About Us: Saab is a leading defense and security company with an enduring purpose, to help nations keep their people and society safe. Empowered by its 28,000 talented people, Saab constantly pushes the boundaries of technology to create a safer and more sustainable world. In the U.S., Saab delivers advanced technology and systems, supporting the U.S. Armed Forces and the Federal Aviation Administration, as well as international and commercial partners. Headquartered in Syracuse, New York, the company has business units and local employees in ten U.S. locations. Saab is a company where we see diversity as an asset and offer unlimited opportunities for advancing in your career. We are also a company that respects each person's needs and encourage employees to lead a balanced, rewarding life beyond work. Saab values diversity and is an Affirmative Action employer for protected veterans and individuals with disabilities. Saab is an Equal Employment Opportunity employer, all qualified individuals are encouraged to apply and will be considered for employment without regard to race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, age, veteran, disability status, or any other federal, state, or locally protected category.
Job Description: We are seeking an experienced Information Security Engineer with strong Microsoft Windows infrastructure expertise to support the delivery of air traffic control systems to our customers. This role will focus on the implementation of Windows-based platforms to provide a secure environment for other Saab software to run in. The ideal candidate will have hands-on experience with Windows Deployment Service, Active Directory, Group Policy management, network design, and hardware/software integration. This position plays a key role in implementing and deploying air traffic control systems for customers, ensuring Windows environments are configured to support our software while meeting safety and security regulations. This role requires both an independent drive to troubleshoot implementation and the ability to work collaboratively with teammates to integrate various system components. Key Responsibilities Architecture Design: Develop, document, and maintain comprehensive security architectures, network designs, and cloud infrastructures Risk & Vulnerability Management: Evaluate deliverable systems to identify weaknesses, perform security reviews, and execute ethical hacks or penetration tests. Leadership & Guidance: Lead information technology analysts, security engineers, and deployment teams to coordinate effective security protocols and align projects with security guidelines Design, implement, and manage Group Policy Objects (GPOs) to enforce security configurations and organizational standards within customer environments. Configure, administer, and harden Windows Server and Windows workstation systems as part of security solution deployments. Implement and maintain Active Directory security configurations, including user/group management, OU structures, and policy enforcement. Design and implement role-based access control (RBAC) and least-privilege access models. Deploy, configure, and manage endpoint protection and antivirus solutions. Apply system hardening practices aligned with industry security frameworks and best practices. Perform security assessments of Windows environments and implement remediation actions. Assist in creating secure configurations, patch processes, and compliance with security policies. Document system configurations, security controls, and deployment procedures for customer environments. Provide technical guidance and knowledge transfer to customer stakeholders when appropriate. Compensation Range: $101,600 - $132,000 The compensation range provided is a general guideline. When extending an offer, Saab, Inc. considers factors including (but not limited to) the role and associated responsibilities, location, and market and business considerations, as well as the candidate's work experience, key skills, and education/training. Skills and Experience: Required Qualifications Bachelor's degree in Systems Engineering, Computer Science, Information Technology, Information Security, or a related field (or equivalent experience). 6+ years of experience administering and securing Microsoft Windows environments. Strong hands-on experience with PowerShell scripting and automation. Proven experience creating and managing Windows domains, including development of Group Policy Objects and Active Directory structures. Experience integrating third-party software into Windows environments. Hands-on experience with Windows Deployment Services. Solid understanding of Windows security architecture and system hardening techniques. Preferred Qualifications Experience with PXE boot and BIOS configuration. Experience implementing role-based access control and identity management practices. Experience performing security assessments and remediation. Familiarity with security monitoring tools and SIEM platforms. Knowledge of security frameworks such as NIST, CIS Benchmarks, or ISO 27001. Relevant certifications such as: CompTIA Security+ CISSP Microsoft security or identity certifications GIAC certifications Key Skills Hardware/operating system/software integration Customer-facing technical delivery and documentation Windows security architecture Active Directory administration Group Policy design and implementation Endpoint security and antivirus management Identity and access management (IAM) System hardening and vulnerability remediation Security assessments and remediation Desired Tool Experience Experience with the following tools and applications is highly desirable. Microsoft Hyper-V Virtualization Splunk PDQ RSA Authentication Manager Citizenship Requirements: Must be a U.S. citizen. Applicants selected may be subject to a government security investigation and must meet eligibility requirements for access to classified information. Drug-Free Workplaces: Saab is a federal government contractor and adheres to policies and programs necessary for sustaining drug-free workplaces. As a condition of employment, candidates will be required to pass a pre-employment drug screen. Benefits: Saab provides an excellent working environment offering professional growth opportunities, competitive wages, work-life balance, a business casual atmosphere and comprehensive benefits. Highlights include: Medical, vision, and dental insurance for employees and dependents Generous paid time off, including 8 designated holidays 401(k) with employer contributions Tuition assistance and student loan assistance Wellness and employee assistance resources Employee stock purchase opportunities Short-term and long-term disability coverage About Us: Saab is a leading defense and security company with an enduring purpose, to help nations keep their people and society safe. Empowered by its 28,000 talented people, Saab constantly pushes the boundaries of technology to create a safer and more sustainable world. In the U.S., Saab delivers advanced technology and systems, supporting the U.S. Armed Forces and the Federal Aviation Administration, as well as international and commercial partners. Headquartered in Syracuse, New York, the company has business units and local employees in ten U.S. locations. Saab is a company where we see diversity as an asset and offer unlimited opportunities for advancing in your career. We are also a company that respects each person's needs and encourage employees to lead a balanced, rewarding life beyond work. Saab values diversity and is an Affirmative Action employer for protected veterans and individuals with disabilities. Saab is an Equal Employment Opportunity employer, all qualified individuals are encouraged to apply and will be considered for employment without regard to race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, age, veteran, disability status, or any other federal, state, or locally protected category.
09/29/2026
Full time
Job Description: We are seeking an experienced Information Security Engineer with strong Microsoft Windows infrastructure expertise to support the delivery of air traffic control systems to our customers. This role will focus on the implementation of Windows-based platforms to provide a secure environment for other Saab software to run in. The ideal candidate will have hands-on experience with Windows Deployment Service, Active Directory, Group Policy management, network design, and hardware/software integration. This position plays a key role in implementing and deploying air traffic control systems for customers, ensuring Windows environments are configured to support our software while meeting safety and security regulations. This role requires both an independent drive to troubleshoot implementation and the ability to work collaboratively with teammates to integrate various system components. Key Responsibilities Architecture Design: Develop, document, and maintain comprehensive security architectures, network designs, and cloud infrastructures Risk & Vulnerability Management: Evaluate deliverable systems to identify weaknesses, perform security reviews, and execute ethical hacks or penetration tests. Leadership & Guidance: Lead information technology analysts, security engineers, and deployment teams to coordinate effective security protocols and align projects with security guidelines Design, implement, and manage Group Policy Objects (GPOs) to enforce security configurations and organizational standards within customer environments. Configure, administer, and harden Windows Server and Windows workstation systems as part of security solution deployments. Implement and maintain Active Directory security configurations, including user/group management, OU structures, and policy enforcement. Design and implement role-based access control (RBAC) and least-privilege access models. Deploy, configure, and manage endpoint protection and antivirus solutions. Apply system hardening practices aligned with industry security frameworks and best practices. Perform security assessments of Windows environments and implement remediation actions. Assist in creating secure configurations, patch processes, and compliance with security policies. Document system configurations, security controls, and deployment procedures for customer environments. Provide technical guidance and knowledge transfer to customer stakeholders when appropriate. Compensation Range: $101,600 - $132,000 The compensation range provided is a general guideline. When extending an offer, Saab, Inc. considers factors including (but not limited to) the role and associated responsibilities, location, and market and business considerations, as well as the candidate's work experience, key skills, and education/training. Skills and Experience: Required Qualifications Bachelor's degree in Systems Engineering, Computer Science, Information Technology, Information Security, or a related field (or equivalent experience). 6+ years of experience administering and securing Microsoft Windows environments. Strong hands-on experience with PowerShell scripting and automation. Proven experience creating and managing Windows domains, including development of Group Policy Objects and Active Directory structures. Experience integrating third-party software into Windows environments. Hands-on experience with Windows Deployment Services. Solid understanding of Windows security architecture and system hardening techniques. Preferred Qualifications Experience with PXE boot and BIOS configuration. Experience implementing role-based access control and identity management practices. Experience performing security assessments and remediation. Familiarity with security monitoring tools and SIEM platforms. Knowledge of security frameworks such as NIST, CIS Benchmarks, or ISO 27001. Relevant certifications such as: CompTIA Security+ CISSP Microsoft security or identity certifications GIAC certifications Key Skills Hardware/operating system/software integration Customer-facing technical delivery and documentation Windows security architecture Active Directory administration Group Policy design and implementation Endpoint security and antivirus management Identity and access management (IAM) System hardening and vulnerability remediation Security assessments and remediation Desired Tool Experience Experience with the following tools and applications is highly desirable. Microsoft Hyper-V Virtualization Splunk PDQ RSA Authentication Manager Citizenship Requirements: Must be a U.S. citizen. Applicants selected may be subject to a government security investigation and must meet eligibility requirements for access to classified information. Drug-Free Workplaces: Saab is a federal government contractor and adheres to policies and programs necessary for sustaining drug-free workplaces. As a condition of employment, candidates will be required to pass a pre-employment drug screen. Benefits: Saab provides an excellent working environment offering professional growth opportunities, competitive wages, work-life balance, a business casual atmosphere and comprehensive benefits. Highlights include: Medical, vision, and dental insurance for employees and dependents Generous paid time off, including 8 designated holidays 401(k) with employer contributions Tuition assistance and student loan assistance Wellness and employee assistance resources Employee stock purchase opportunities Short-term and long-term disability coverage About Us: Saab is a leading defense and security company with an enduring purpose, to help nations keep their people and society safe. Empowered by its 28,000 talented people, Saab constantly pushes the boundaries of technology to create a safer and more sustainable world. In the U.S., Saab delivers advanced technology and systems, supporting the U.S. Armed Forces and the Federal Aviation Administration, as well as international and commercial partners. Headquartered in Syracuse, New York, the company has business units and local employees in ten U.S. locations. Saab is a company where we see diversity as an asset and offer unlimited opportunities for advancing in your career. We are also a company that respects each person's needs and encourage employees to lead a balanced, rewarding life beyond work. Saab values diversity and is an Affirmative Action employer for protected veterans and individuals with disabilities. Saab is an Equal Employment Opportunity employer, all qualified individuals are encouraged to apply and will be considered for employment without regard to race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, age, veteran, disability status, or any other federal, state, or locally protected category.
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).
09/29/2026
Full time
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).
09/29/2026
Full time
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).
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Lead, Software Engineer Job Code: 41478 Job Location: Melbourne, FL Patrick Space Force Base, FL Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off Job Description: We are seeking a highly skilled and motivated Software Engineer/Data Analyst to join our team. The ideal candidate will hold an active TS/SCI clearance, possess CompTIA Security+ certification or higher, and work onsite at Patrick Space Force Base. The successful candidate will be responsible for modernizing and migrating analytics applications into a high-performance web application using modern web technologies. Essential Functions: Design, develop, test, and maintain full stack applications, including user-facing interfaces, back-end services, APIs, and data integrations. Build modern, responsive, and intuitive front-end solutions using current web development frameworks and best practices. Develop secure and scalable back-end services and application logic to support mission applications and workflows. Deploy and maintain applications in AWS, ensuring solutions are scalable, secure, resilient, and cost-effective. Integrate cloud-native services, databases, and application components across distributed environments. Apply software engineering best practices across the full development lifecycle, including code reviews, automated testing, version control, and CI/CD pipelines. Collaborate with system engineers, cloud engineers, cyber teams, and mission stakeholders to define requirements and deliver end-to-end solutions. Engage in daily interaction with customers to understand operational needs, gather feedback, and refine application functionality. Prepare architectural designs, implementation plans, and technical roadmaps that align with organizational and mission goals. Produce and maintain technical documentation for system design, application architecture, deployment procedures, and sustainment activities. Deliver professional presentations and technical briefings to stakeholders, translating complex concepts into clear and actionable information. Support a variety of mission areas and adapt to evolving priorities in a dynamic operational environment. Familiarity with the C2S Access Portal (CAP) and high-side AWS environments. Familiarity with databases such as PostgreSQL, MySQL, SQL Server, DynamoDB, or other relational/non-relational data stores. Security+ Certification or any DoD IAT Level II Certification, or ability to obtain certification within 6 months of accepting position. Qualifications: Bachelor's degree in computer science or computer engineering and a minimum of 9 years of prior relevant experience. Graduate Degree and a minimum of 7 years of prior related experience. In lieu of a degree, minimum of 13 years of prior related experience. Active TS/SCI clearance. Preferred Additional Skills: Experience developing AI/ML-enabled mission applications, analytical tools, or decision-support capabilities involving advanced data processing, automation, visualization, and user interaction. Experience with scientific, sensor-derived, geophysical, acoustic, seismic, infrasonic, or other mission-relevant technical data is highly desired. Experience as a Full Stack Developer with proficiency in front-end, back-end, and cloud-based application development. Proficiency with modern front-end technologies such as React, Angular, Vue, JavaScript/TypeScript, HTML, and CSS. Experience developing back-end services and APIs using languages/frameworks such as Java, Python, Node.js, .NET, or similar. Experience with RESTful APIs, microservices, and application integration patterns. Experience with Git, CI/CD pipelines, automated testing, and DevSecOps practices. Experience transitioning research or prototype capabilities into operational software tools, supporting classified DoD mission environments strongly preferred. Experience building and deploying mission applications in classified or high-security environments. Experience with containerization and orchestration technologies such as Docker and Kubernetes. Knowledge of infrastructure as code tools such as Terraform, CloudFormation, or similar. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
09/29/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Lead, Software Engineer Job Code: 41478 Job Location: Melbourne, FL Patrick Space Force Base, FL Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off Job Description: We are seeking a highly skilled and motivated Software Engineer/Data Analyst to join our team. The ideal candidate will hold an active TS/SCI clearance, possess CompTIA Security+ certification or higher, and work onsite at Patrick Space Force Base. The successful candidate will be responsible for modernizing and migrating analytics applications into a high-performance web application using modern web technologies. Essential Functions: Design, develop, test, and maintain full stack applications, including user-facing interfaces, back-end services, APIs, and data integrations. Build modern, responsive, and intuitive front-end solutions using current web development frameworks and best practices. Develop secure and scalable back-end services and application logic to support mission applications and workflows. Deploy and maintain applications in AWS, ensuring solutions are scalable, secure, resilient, and cost-effective. Integrate cloud-native services, databases, and application components across distributed environments. Apply software engineering best practices across the full development lifecycle, including code reviews, automated testing, version control, and CI/CD pipelines. Collaborate with system engineers, cloud engineers, cyber teams, and mission stakeholders to define requirements and deliver end-to-end solutions. Engage in daily interaction with customers to understand operational needs, gather feedback, and refine application functionality. Prepare architectural designs, implementation plans, and technical roadmaps that align with organizational and mission goals. Produce and maintain technical documentation for system design, application architecture, deployment procedures, and sustainment activities. Deliver professional presentations and technical briefings to stakeholders, translating complex concepts into clear and actionable information. Support a variety of mission areas and adapt to evolving priorities in a dynamic operational environment. Familiarity with the C2S Access Portal (CAP) and high-side AWS environments. Familiarity with databases such as PostgreSQL, MySQL, SQL Server, DynamoDB, or other relational/non-relational data stores. Security+ Certification or any DoD IAT Level II Certification, or ability to obtain certification within 6 months of accepting position. Qualifications: Bachelor's degree in computer science or computer engineering and a minimum of 9 years of prior relevant experience. Graduate Degree and a minimum of 7 years of prior related experience. In lieu of a degree, minimum of 13 years of prior related experience. Active TS/SCI clearance. Preferred Additional Skills: Experience developing AI/ML-enabled mission applications, analytical tools, or decision-support capabilities involving advanced data processing, automation, visualization, and user interaction. Experience with scientific, sensor-derived, geophysical, acoustic, seismic, infrasonic, or other mission-relevant technical data is highly desired. Experience as a Full Stack Developer with proficiency in front-end, back-end, and cloud-based application development. Proficiency with modern front-end technologies such as React, Angular, Vue, JavaScript/TypeScript, HTML, and CSS. Experience developing back-end services and APIs using languages/frameworks such as Java, Python, Node.js, .NET, or similar. Experience with RESTful APIs, microservices, and application integration patterns. Experience with Git, CI/CD pipelines, automated testing, and DevSecOps practices. Experience transitioning research or prototype capabilities into operational software tools, supporting classified DoD mission environments strongly preferred. Experience building and deploying mission applications in classified or high-security environments. Experience with containerization and orchestration technologies such as Docker and Kubernetes. Knowledge of infrastructure as code tools such as Terraform, CloudFormation, or similar. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
The company has a physical hardware device (called a gateway or edge device) installed on or connected to hospital beds. Today, somebody manually performs tests to verify that device works correctly. They want a Test Engineer to write Python automation scripts so those tests run automatically instead of requiring a person to execute them.
09/29/2026
Full time
The company has a physical hardware device (called a gateway or edge device) installed on or connected to hospital beds. Today, somebody manually performs tests to verify that device works correctly. They want a Test Engineer to write Python automation scripts so those tests run automatically instead of requiring a person to execute them.
Leidos seeks a Systems Engineer to support Geographically Separated Units, designing, integrating, and sustaining secure, distributed IT environments for mission-critical government customers. You will architect end-to-end solutions across networks, servers, and applications; implement cybersecurity controls; and ensure high availability and performance for remote sites. Responsibilities include requirements analysis, system design, deployment, documentation, and troubleshooting complex incidents. You'll collaborate with cross-functional teams, mentor junior staff, and drive continuous improvement while working in a culture that values integrity, innovation, and learning. Responsibilities Design and implement end-to-end systems architectures for geographically separated units. Integrate servers, networks, storage, and applications into secure, resilient solutions. Apply cybersecurity and compliance standards to harden systems and protect mission data. Monitor performance and troubleshoot complex issues across distributed environments. Develop and maintain technical documentation, diagrams, and configuration baselines. Collaborate with cross-functional teams, including network, security, and program staff. Support testing, validation, and deployment of new capabilities and upgrades. Automate routine tasks and configuration management where possible. Provide on-call or after-hours support for critical incidents as required. Contribute to continuous improvement and mentor junior team members. Required Skills Systems engineering Distributed systems architecture Windows and Linux server administration Network configuration and troubleshooting Systems integration Virtualization (VMware/Hyper-V) Cloud platforms (AWS/Azure/Gov Cloud) Cybersecurity and hardening standards (STIGs) Scripting/automation (Power Shell/Python) Monitoring and incident response tools
09/29/2026
Full time
Leidos seeks a Systems Engineer to support Geographically Separated Units, designing, integrating, and sustaining secure, distributed IT environments for mission-critical government customers. You will architect end-to-end solutions across networks, servers, and applications; implement cybersecurity controls; and ensure high availability and performance for remote sites. Responsibilities include requirements analysis, system design, deployment, documentation, and troubleshooting complex incidents. You'll collaborate with cross-functional teams, mentor junior staff, and drive continuous improvement while working in a culture that values integrity, innovation, and learning. Responsibilities Design and implement end-to-end systems architectures for geographically separated units. Integrate servers, networks, storage, and applications into secure, resilient solutions. Apply cybersecurity and compliance standards to harden systems and protect mission data. Monitor performance and troubleshoot complex issues across distributed environments. Develop and maintain technical documentation, diagrams, and configuration baselines. Collaborate with cross-functional teams, including network, security, and program staff. Support testing, validation, and deployment of new capabilities and upgrades. Automate routine tasks and configuration management where possible. Provide on-call or after-hours support for critical incidents as required. Contribute to continuous improvement and mentor junior team members. Required Skills Systems engineering Distributed systems architecture Windows and Linux server administration Network configuration and troubleshooting Systems integration Virtualization (VMware/Hyper-V) Cloud platforms (AWS/Azure/Gov Cloud) Cybersecurity and hardening standards (STIGs) Scripting/automation (Power Shell/Python) Monitoring and incident response tools
Department: Engineering Reports to: Senior Engineering Manager Location: HQ Superior, CO Salary Range: $100,000 - $135,000 Travel Requirement: Up to 20% domestic and international travel POSITION SUMMARY The Embedded Systems Engineer will serve as the in-house technical owner for an outsourced embedded and electrical engineering strategy, responsible for defining requirements, selecting and managing external engineering partners, and ensuring delivery of production-ready firmware, electronics, controls, and connected-tool platforms for Magswitch electromechanical and robotic products. KEY RESPONSIBILITIES - Write, revise, and improve firmware for both new and existing hardware - Bring up new boards and test firmware on real hardware - Debug firmware issues using logs, scopes, and basic test tools - Work with sensors, motors, I/O, and communication interfaces - Support firmware testing for prototypes and production units - Work with the sales team to help debug issues in the field - Work closely with the overseas manufacturing team, including off-hours meetings - Work with contractors and customers as needed - Stay on track with project timelines and budgets - Identify and promptly elevate any risk to project schedules and budgets to the manager MINIMUM QUALIFICATIONS - Bachelor's degree in electrical engineering or related field - Minimum of five years of relevant experience - Knowledgeable of embedded systems and programming C/C++ - Experience with motors, actuators, sensor integration, and electrically actuated tool or automation systems - Ability to write and debug board-level drivers - Experience with MCU peripherals, including SPI, I2C, ADCs, and GPIO - Experience with MCU timers, interrupts, and DMA - Experience debugging firmware using scopes, logic analyzers, and serial tools - Strong attention to detail and willingness to learn - Effective communication and organizational skills - Ability to test products hands-on and troubleshoot issues - Ability to create internal andcustomer-facingdocumentation - Ability to identify and understand relevant regulations and standards documents to ensure the product line meets all relevant standards and regulations - Ability to make intuitive decisions based on proper discernment of ideas and options - Possess strong verbal, written, and organizational skills essential to professional communication - Ability to work ina fast-pacedenvironment - Drive to expand THE TEAM's knowledge and develop new skills - International & Domestic Travel, Up to 20% Nice to haves - Ability to create and design electrical circuits, PCBs, and control schematics - Knowledge or ability to program industrial robots and PLCs - Experience with stepper motors and writing stepper motor drivers - Experience with industrial automation protocols (Ethernet/IP,Profinet, EtherCAT, Modbus and CAN Open) ABOUT US Magswitch is a global leader in magnetic lifting solutions. We design and manufacture advanced magnet technologies that help industrial and automation customers improve material handling safety and efficiency. Our products are widely used in automotive assembly and other heavy-industry automation applications with manufacturing operations worldwide. Compensation and Benefits We offer a highly competitive compensation package designed to support your health, well-being, and financial security. Our comprehensive benefits include: Medical, dental, and vision insurance Retirement plan with 401(k) matching Paid time off Paid leave programs Health Savings Account (HSA) Flexible Spending Account (FSA) Basic and Voluntary Life insurance Short- and Long-term disability insurance Employee Assistance Program (EAP) Employee referral program Tuition reimbursement In accordance with Colorado law, the salary range disclosed for this role represents a good-faith estimate of the base compensation. Actual compensation will be based on factors such as experience, skills, and qualifications. Magswitch is an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, genetic information, or any other protected characteristic. We comply with all applicable federal, state, and local nondiscrimination laws in every location where we operate. This policy applies to all aspects of employment, including recruitment, hiring, placement, promotion, compensation, benefits, training, and termination.
09/29/2026
Full time
Department: Engineering Reports to: Senior Engineering Manager Location: HQ Superior, CO Salary Range: $100,000 - $135,000 Travel Requirement: Up to 20% domestic and international travel POSITION SUMMARY The Embedded Systems Engineer will serve as the in-house technical owner for an outsourced embedded and electrical engineering strategy, responsible for defining requirements, selecting and managing external engineering partners, and ensuring delivery of production-ready firmware, electronics, controls, and connected-tool platforms for Magswitch electromechanical and robotic products. KEY RESPONSIBILITIES - Write, revise, and improve firmware for both new and existing hardware - Bring up new boards and test firmware on real hardware - Debug firmware issues using logs, scopes, and basic test tools - Work with sensors, motors, I/O, and communication interfaces - Support firmware testing for prototypes and production units - Work with the sales team to help debug issues in the field - Work closely with the overseas manufacturing team, including off-hours meetings - Work with contractors and customers as needed - Stay on track with project timelines and budgets - Identify and promptly elevate any risk to project schedules and budgets to the manager MINIMUM QUALIFICATIONS - Bachelor's degree in electrical engineering or related field - Minimum of five years of relevant experience - Knowledgeable of embedded systems and programming C/C++ - Experience with motors, actuators, sensor integration, and electrically actuated tool or automation systems - Ability to write and debug board-level drivers - Experience with MCU peripherals, including SPI, I2C, ADCs, and GPIO - Experience with MCU timers, interrupts, and DMA - Experience debugging firmware using scopes, logic analyzers, and serial tools - Strong attention to detail and willingness to learn - Effective communication and organizational skills - Ability to test products hands-on and troubleshoot issues - Ability to create internal andcustomer-facingdocumentation - Ability to identify and understand relevant regulations and standards documents to ensure the product line meets all relevant standards and regulations - Ability to make intuitive decisions based on proper discernment of ideas and options - Possess strong verbal, written, and organizational skills essential to professional communication - Ability to work ina fast-pacedenvironment - Drive to expand THE TEAM's knowledge and develop new skills - International & Domestic Travel, Up to 20% Nice to haves - Ability to create and design electrical circuits, PCBs, and control schematics - Knowledge or ability to program industrial robots and PLCs - Experience with stepper motors and writing stepper motor drivers - Experience with industrial automation protocols (Ethernet/IP,Profinet, EtherCAT, Modbus and CAN Open) ABOUT US Magswitch is a global leader in magnetic lifting solutions. We design and manufacture advanced magnet technologies that help industrial and automation customers improve material handling safety and efficiency. Our products are widely used in automotive assembly and other heavy-industry automation applications with manufacturing operations worldwide. Compensation and Benefits We offer a highly competitive compensation package designed to support your health, well-being, and financial security. Our comprehensive benefits include: Medical, dental, and vision insurance Retirement plan with 401(k) matching Paid time off Paid leave programs Health Savings Account (HSA) Flexible Spending Account (FSA) Basic and Voluntary Life insurance Short- and Long-term disability insurance Employee Assistance Program (EAP) Employee referral program Tuition reimbursement In accordance with Colorado law, the salary range disclosed for this role represents a good-faith estimate of the base compensation. Actual compensation will be based on factors such as experience, skills, and qualifications. Magswitch is an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, genetic information, or any other protected characteristic. We comply with all applicable federal, state, and local nondiscrimination laws in every location where we operate. This policy applies to all aspects of employment, including recruitment, hiring, placement, promotion, compensation, benefits, training, and termination.
Amazon is seeking a Senior Automation Engineer to lead design, optimization, and reliability of automated material handling systems across our Transportation & Logistics network. In this Engineering, Maintenance & Asset Management role, you'll own PLC/SCADA controls, drive root-cause analysis, and deliver high-uptime, high-throughput operations. You'll partner with cross-functional teams to scale cutting-edge automation, implement data-driven improvements, and ensure safety and compliance. Join a customer-obsessed, fast-moving environment where you'll solve global-scale problems and grow your technical and leadership impact. Responsibilities Design, program, and optimize automated material handling systems in transportation and logistics facilities Lead root-cause analysis and implement corrective actions to improve system reliability and uptime Develop and maintain PLC, SCADA, and industrial control system standards and documentation Collaborate with Operations, Maintenance, and Asset Management to plan upgrades and new deployments Manage automation projects from concept through commissioning, including vendor coordination Implement preventive and predictive maintenance strategies for automated equipment Ensure compliance with safety, electrical, and cybersecurity standards for control systems Analyze performance data to drive continuous improvement in throughput and cost Provide technical mentorship to engineers and technicians on automation best practices Support 24/7 operations with escalation coverage for critical automation issues Required Skills PLC programming (Allen-Bradley/Siemens) SCADA/HMI development Industrial networking (Ether Net/IP, Profinet) Robotics and motion control Material handling systems (conveyors, sorters, AS/RS) Control system design and troubleshooting Data analysis and system performance optimization Industrial safety standards (e.g., NFPA 70 E, OSHA) Project management for automation initiatives CMMS and maintenance planning
09/29/2026
Full time
Amazon is seeking a Senior Automation Engineer to lead design, optimization, and reliability of automated material handling systems across our Transportation & Logistics network. In this Engineering, Maintenance & Asset Management role, you'll own PLC/SCADA controls, drive root-cause analysis, and deliver high-uptime, high-throughput operations. You'll partner with cross-functional teams to scale cutting-edge automation, implement data-driven improvements, and ensure safety and compliance. Join a customer-obsessed, fast-moving environment where you'll solve global-scale problems and grow your technical and leadership impact. Responsibilities Design, program, and optimize automated material handling systems in transportation and logistics facilities Lead root-cause analysis and implement corrective actions to improve system reliability and uptime Develop and maintain PLC, SCADA, and industrial control system standards and documentation Collaborate with Operations, Maintenance, and Asset Management to plan upgrades and new deployments Manage automation projects from concept through commissioning, including vendor coordination Implement preventive and predictive maintenance strategies for automated equipment Ensure compliance with safety, electrical, and cybersecurity standards for control systems Analyze performance data to drive continuous improvement in throughput and cost Provide technical mentorship to engineers and technicians on automation best practices Support 24/7 operations with escalation coverage for critical automation issues Required Skills PLC programming (Allen-Bradley/Siemens) SCADA/HMI development Industrial networking (Ether Net/IP, Profinet) Robotics and motion control Material handling systems (conveyors, sorters, AS/RS) Control system design and troubleshooting Data analysis and system performance optimization Industrial safety standards (e.g., NFPA 70 E, OSHA) Project management for automation initiatives CMMS and maintenance planning
Honda Development & Manufacturing of America, LLC is seeking a Senior Software and System Development Engineer I to design, build, and optimize software and embedded systems that power advanced automotive manufacturing and products. In this engineering-driven, hands-on role, you will collaborate with cross-functional teams to define requirements, architect solutions, and implement robust, scalable software that improves quality, safety, and efficiency across vehicle and powertrain operations. Responsibilities include system and software design, coding, integration, testing, troubleshooting on the plant floor, and continuous improvement aligned with "The Honda Way." You will work with modern tools, automation, and diagnostics to support innovation and sustainable mobility while growing your career in a global, quality-focused organization. Responsibilities Design, develop, and enhance software and embedded systems for automotive manufacturing and products. Collaborate with cross-functional engineering, manufacturing, and quality teams to define system requirements. Implement robust, scalable architectures and integration with plant and vehicle systems. Develop and maintain automation, tooling, and diagnostics to improve production efficiency and quality. Perform code reviews, testing, and validation to meet safety, reliability, and regulatory standards. Troubleshoot complex system issues in a hands-on manufacturing environment. Document designs, specifications, and technical reports for internal and external stakeholders. Support continuous improvement initiatives following lean and Honda engineering practices. Required Skills Embedded software development C/C++ programming Python or scripting languages Real-time and embedded operating systems Systems architecture and integration Industrial control or automation systems Software testing and validation Version control and CI/CD pipelines Networking and communication protocols Requirements analysis and documentation
09/29/2026
Full time
Honda Development & Manufacturing of America, LLC is seeking a Senior Software and System Development Engineer I to design, build, and optimize software and embedded systems that power advanced automotive manufacturing and products. In this engineering-driven, hands-on role, you will collaborate with cross-functional teams to define requirements, architect solutions, and implement robust, scalable software that improves quality, safety, and efficiency across vehicle and powertrain operations. Responsibilities include system and software design, coding, integration, testing, troubleshooting on the plant floor, and continuous improvement aligned with "The Honda Way." You will work with modern tools, automation, and diagnostics to support innovation and sustainable mobility while growing your career in a global, quality-focused organization. Responsibilities Design, develop, and enhance software and embedded systems for automotive manufacturing and products. Collaborate with cross-functional engineering, manufacturing, and quality teams to define system requirements. Implement robust, scalable architectures and integration with plant and vehicle systems. Develop and maintain automation, tooling, and diagnostics to improve production efficiency and quality. Perform code reviews, testing, and validation to meet safety, reliability, and regulatory standards. Troubleshoot complex system issues in a hands-on manufacturing environment. Document designs, specifications, and technical reports for internal and external stakeholders. Support continuous improvement initiatives following lean and Honda engineering practices. Required Skills Embedded software development C/C++ programming Python or scripting languages Real-time and embedded operating systems Systems architecture and integration Industrial control or automation systems Software testing and validation Version control and CI/CD pipelines Networking and communication protocols Requirements analysis and documentation
Amazon is seeking a Senior Automation Engineer to lead design, optimization, and reliability of automated material handling systems across our Transportation & Logistics network. In this Engineering, Maintenance & Asset Management role, you'll own PLC/SCADA controls, drive root-cause analysis, and deliver high-uptime, high-throughput operations. You'll partner with cross-functional teams to scale cutting-edge automation, implement data-driven improvements, and ensure safety and compliance. Join a customer-obsessed, fast-moving environment where you'll solve global-scale problems and grow your technical and leadership impact. Responsibilities Design, program, and optimize automated material handling systems in transportation and logistics facilities Lead root-cause analysis and implement corrective actions to improve system reliability and uptime Develop and maintain PLC, SCADA, and industrial control system standards and documentation Collaborate with Operations, Maintenance, and Asset Management to plan upgrades and new deployments Manage automation projects from concept through commissioning, including vendor coordination Implement preventive and predictive maintenance strategies for automated equipment Ensure compliance with safety, electrical, and cybersecurity standards for control systems Analyze performance data to drive continuous improvement in throughput and cost Provide technical mentorship to engineers and technicians on automation best practices Support 24/7 operations with escalation coverage for critical automation issues Required Skills PLC programming (Allen-Bradley/Siemens) SCADA/HMI development Industrial networking (Ether Net/IP, Profinet) Robotics and motion control Material handling systems (conveyors, sorters, AS/RS) Control system design and troubleshooting Data analysis and system performance optimization Industrial safety standards (e.g., NFPA 70 E, OSHA) Project management for automation initiatives CMMS and maintenance planning
09/29/2026
Full time
Amazon is seeking a Senior Automation Engineer to lead design, optimization, and reliability of automated material handling systems across our Transportation & Logistics network. In this Engineering, Maintenance & Asset Management role, you'll own PLC/SCADA controls, drive root-cause analysis, and deliver high-uptime, high-throughput operations. You'll partner with cross-functional teams to scale cutting-edge automation, implement data-driven improvements, and ensure safety and compliance. Join a customer-obsessed, fast-moving environment where you'll solve global-scale problems and grow your technical and leadership impact. Responsibilities Design, program, and optimize automated material handling systems in transportation and logistics facilities Lead root-cause analysis and implement corrective actions to improve system reliability and uptime Develop and maintain PLC, SCADA, and industrial control system standards and documentation Collaborate with Operations, Maintenance, and Asset Management to plan upgrades and new deployments Manage automation projects from concept through commissioning, including vendor coordination Implement preventive and predictive maintenance strategies for automated equipment Ensure compliance with safety, electrical, and cybersecurity standards for control systems Analyze performance data to drive continuous improvement in throughput and cost Provide technical mentorship to engineers and technicians on automation best practices Support 24/7 operations with escalation coverage for critical automation issues Required Skills PLC programming (Allen-Bradley/Siemens) SCADA/HMI development Industrial networking (Ether Net/IP, Profinet) Robotics and motion control Material handling systems (conveyors, sorters, AS/RS) Control system design and troubleshooting Data analysis and system performance optimization Industrial safety standards (e.g., NFPA 70 E, OSHA) Project management for automation initiatives CMMS and maintenance planning
Amazon is seeking an IT Support Engineer I to keep our retail and operations technologies running smoothly. In this onsite role, you will provide hands-on support for workstations, scanners, printers, and networked devices across a fast-paced operations environment. You will diagnose and resolve hardware, software, and connectivity issues, manage tickets, and document solutions while following security and change management standards. Partnering with operations and engineering teams, you'll support technology rollouts and continuous improvement, gaining exposure to large-scale, cutting-edge systems that power Amazon's global retail business. Responsibilities Provide frontline technical support for onsite operations and retail technologies, including workstations, devices, and networking equipment Troubleshoot hardware, software, and connectivity issues to minimize downtime and keep fulfillment and retail operations running smoothly Install, configure, and maintain IT equipment, following Amazon standards and security best practices Monitor ticket queues, prioritize incidents, and document resolutions in tracking systems Collaborate with operations and engineering teams to support new technology rollouts and process improvements Escalate complex issues to senior engineers while maintaining clear, timely communication with stakeholders Maintain inventory and perform routine checks to ensure systems, peripherals, and cabling remain reliable and compliant Follow change management and incident response procedures in a fast-paced, 24/7 environment Required Skills Hardware troubleshooting Windows OS administration Basic Linux/mac OS familiarity TCP/IP networking and Wi-Fi support Active Directory and user account management Ticketing systems (e.g., Service Now, Jira) Scripting or automation basics (e.g., Power Shell) Endpoint imaging and deployment tools Peripheral and barcode/RF scanner support Documentation and incident management
09/29/2026
Full time
Amazon is seeking an IT Support Engineer I to keep our retail and operations technologies running smoothly. In this onsite role, you will provide hands-on support for workstations, scanners, printers, and networked devices across a fast-paced operations environment. You will diagnose and resolve hardware, software, and connectivity issues, manage tickets, and document solutions while following security and change management standards. Partnering with operations and engineering teams, you'll support technology rollouts and continuous improvement, gaining exposure to large-scale, cutting-edge systems that power Amazon's global retail business. Responsibilities Provide frontline technical support for onsite operations and retail technologies, including workstations, devices, and networking equipment Troubleshoot hardware, software, and connectivity issues to minimize downtime and keep fulfillment and retail operations running smoothly Install, configure, and maintain IT equipment, following Amazon standards and security best practices Monitor ticket queues, prioritize incidents, and document resolutions in tracking systems Collaborate with operations and engineering teams to support new technology rollouts and process improvements Escalate complex issues to senior engineers while maintaining clear, timely communication with stakeholders Maintain inventory and perform routine checks to ensure systems, peripherals, and cabling remain reliable and compliant Follow change management and incident response procedures in a fast-paced, 24/7 environment Required Skills Hardware troubleshooting Windows OS administration Basic Linux/mac OS familiarity TCP/IP networking and Wi-Fi support Active Directory and user account management Ticketing systems (e.g., Service Now, Jira) Scripting or automation basics (e.g., Power Shell) Endpoint imaging and deployment tools Peripheral and barcode/RF scanner support Documentation and incident management
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Join Boeing, a leader in aerospace innovation, as a Mission Systems Test Engineer (Level 5) supporting a Phantom Works Fixed Wing Proprietary Program located in St Louis, MO. You will be joining a talented team where you will be responsible for executing the Mission Systems test plan. The successful candidate will implement a test infrastructure to maximize automation using the latest available digital tools. You will perform verification/ validation activities to deliver Advanced Mission System Capabilities to our warfighter. This includes automated test tool creation in addition to hands-on testing in a lab environment of Mission Systems equipment including the latest suite of sensors, communication systems, and weapons. In this role, you will be joining a cross-functional team integrating Advanced Mission Systems Capabilities as part of a very exciting and critically important development effort. You will have the opportunity to operate in an agile development environment, mature our products through the development lifecycle, work on next generation open-architecture model-based designs, and collaborate across multiple disciplines. The day-to-day activities of this position will be a combination of traditional design engineering, collaborating with cross-functional peers, and presenting technical challenges and solutions to leadership. Frequent interaction with program leadership, customers, and industry partners during critical design phases will be key elements of this position. This position will provide the candidate an opportunity to develop their engineering skills with potential growth into a leadership role. Position Responsibilities: Implement a test infrastructure to maximize automation using the latest available digital tools Perform Mission Systems verification/validation test integrating multiple hardware and software components Support testing efforts of component and subsystem groups Execute Mission Systems integration testing Create/ update and employ automated test tools and scripts Work in a lab environment to perform verification of the interfaces between multiple Mission Systems hardware and software components Define necessary lab infrastructure updates required to support Mission Systems verification test Research specific technology advances for potential application to company business needs Test and validate system functionality and performance to ensure designs meet operational and functional requirements. Document newly discovered hardware of software anomalies; reports test metrics to all stakeholders Continuously assess and update engineering processes for improvement. This position is expected to be 100% on-site. The selected candidate will be required to work onsite at one of the listed location options . This position requires the ability to obtain a US Security Clearance for which the US Government requires US Citizenship. A final U.S. Secret Clearance Post-Start is required. This position requires ability to obtain program access, for which the U.S. Government requires U.S. Citizenship only. Basic Qualifications (Required Skill/Experience): Bachelor of Science degree in Engineering (with a focus in Electrical, Mechanical or Aeronautical), Computer Science, Data Science, Mathematics, Physics, Chemistry Level 5: 14+ years of work-related experience with a bachelor's degree OR 12+ years of work-related experience with a master's degree Preferred Qualifications (Desired Skills/Experience): Master's degree or higher Experience supporting a Proprietary Program Experience executing in an Agile work environment and implementing Agile Methodologies Experience working in Cameo, or similar Model Based Systems Engineering tools Experience with modern software development methodologies to include DevSecOps and CI/CD pipelines Experience with Mission Systems Open Architecture Standards Experience across multiple phases of the product life-cycle A final U.S. top secret clearance preferred. Signing bonus Potential for Qualified External Candidates. Conflict of Interest: Successful candidates for this job must satisfy Company's Conflict of Interest (COI) assessment process. Typical Education/ Experience: Education/experience typically acquired through advanced technical education from an accredited course of study in engineering, computer science, engineering data science, mathematics, physics or chemistry (e.g. Bachelor) and typically 14 or more years' related work experience or an equivalent combination of technical education and experience or non-US equivalent qualifications. In the USA, ABET accreditation is the preferred, although not required, accreditation standard. Relocation: This position offers relocation based on candidate eligibility . Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies . Shift: This position is for 1st shift. At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. Boeing offers a comprehensive benefits package including generous Paid Time Off (PTO), flexible work environment, paid parental leave, 401k matching, extremely generous tuition assistance for earning advanced degrees, and paid medical leave programs. Boeing 401(k) helps you save for your future, with contributions from Boeing that can help you grow your retirement savings. Our best-in-class retirement benefit features: Best in class 401(k) plan: we'll match your contributions dollar for dollar, up to 10% of eligible pay with Immediate 100% vesting Student Loan Match: The Boeing 401(k) Student Loan Match allows eligible enrolled U.S. employees to have their qualified student loan debt payments counted, along with any match-eligible contributions they make, for purposes of determining the Company Match to employees' Boeing 401(k) accounts. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Please note that the salary information shown below is a general guideline only. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range: Level 5: $164,900 - $223,100 Applications for this position will be accepted until Oct. 12, 2026 Export Control Requirements: This is not an Export Control position. Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. This position requires ability to obtain program access, for which the U.S. Government requires U.S. Citizenship only. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
09/29/2026
Full time
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Join Boeing, a leader in aerospace innovation, as a Mission Systems Test Engineer (Level 5) supporting a Phantom Works Fixed Wing Proprietary Program located in St Louis, MO. You will be joining a talented team where you will be responsible for executing the Mission Systems test plan. The successful candidate will implement a test infrastructure to maximize automation using the latest available digital tools. You will perform verification/ validation activities to deliver Advanced Mission System Capabilities to our warfighter. This includes automated test tool creation in addition to hands-on testing in a lab environment of Mission Systems equipment including the latest suite of sensors, communication systems, and weapons. In this role, you will be joining a cross-functional team integrating Advanced Mission Systems Capabilities as part of a very exciting and critically important development effort. You will have the opportunity to operate in an agile development environment, mature our products through the development lifecycle, work on next generation open-architecture model-based designs, and collaborate across multiple disciplines. The day-to-day activities of this position will be a combination of traditional design engineering, collaborating with cross-functional peers, and presenting technical challenges and solutions to leadership. Frequent interaction with program leadership, customers, and industry partners during critical design phases will be key elements of this position. This position will provide the candidate an opportunity to develop their engineering skills with potential growth into a leadership role. Position Responsibilities: Implement a test infrastructure to maximize automation using the latest available digital tools Perform Mission Systems verification/validation test integrating multiple hardware and software components Support testing efforts of component and subsystem groups Execute Mission Systems integration testing Create/ update and employ automated test tools and scripts Work in a lab environment to perform verification of the interfaces between multiple Mission Systems hardware and software components Define necessary lab infrastructure updates required to support Mission Systems verification test Research specific technology advances for potential application to company business needs Test and validate system functionality and performance to ensure designs meet operational and functional requirements. Document newly discovered hardware of software anomalies; reports test metrics to all stakeholders Continuously assess and update engineering processes for improvement. This position is expected to be 100% on-site. The selected candidate will be required to work onsite at one of the listed location options . This position requires the ability to obtain a US Security Clearance for which the US Government requires US Citizenship. A final U.S. Secret Clearance Post-Start is required. This position requires ability to obtain program access, for which the U.S. Government requires U.S. Citizenship only. Basic Qualifications (Required Skill/Experience): Bachelor of Science degree in Engineering (with a focus in Electrical, Mechanical or Aeronautical), Computer Science, Data Science, Mathematics, Physics, Chemistry Level 5: 14+ years of work-related experience with a bachelor's degree OR 12+ years of work-related experience with a master's degree Preferred Qualifications (Desired Skills/Experience): Master's degree or higher Experience supporting a Proprietary Program Experience executing in an Agile work environment and implementing Agile Methodologies Experience working in Cameo, or similar Model Based Systems Engineering tools Experience with modern software development methodologies to include DevSecOps and CI/CD pipelines Experience with Mission Systems Open Architecture Standards Experience across multiple phases of the product life-cycle A final U.S. top secret clearance preferred. Signing bonus Potential for Qualified External Candidates. Conflict of Interest: Successful candidates for this job must satisfy Company's Conflict of Interest (COI) assessment process. Typical Education/ Experience: Education/experience typically acquired through advanced technical education from an accredited course of study in engineering, computer science, engineering data science, mathematics, physics or chemistry (e.g. Bachelor) and typically 14 or more years' related work experience or an equivalent combination of technical education and experience or non-US equivalent qualifications. In the USA, ABET accreditation is the preferred, although not required, accreditation standard. Relocation: This position offers relocation based on candidate eligibility . Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies . Shift: This position is for 1st shift. At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. Boeing offers a comprehensive benefits package including generous Paid Time Off (PTO), flexible work environment, paid parental leave, 401k matching, extremely generous tuition assistance for earning advanced degrees, and paid medical leave programs. Boeing 401(k) helps you save for your future, with contributions from Boeing that can help you grow your retirement savings. Our best-in-class retirement benefit features: Best in class 401(k) plan: we'll match your contributions dollar for dollar, up to 10% of eligible pay with Immediate 100% vesting Student Loan Match: The Boeing 401(k) Student Loan Match allows eligible enrolled U.S. employees to have their qualified student loan debt payments counted, along with any match-eligible contributions they make, for purposes of determining the Company Match to employees' Boeing 401(k) accounts. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Please note that the salary information shown below is a general guideline only. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range: Level 5: $164,900 - $223,100 Applications for this position will be accepted until Oct. 12, 2026 Export Control Requirements: This is not an Export Control position. Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. This position requires ability to obtain program access, for which the U.S. Government requires U.S. Citizenship only. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
What Makes a Honda, is Who makes a Honda Honda has a clear vision for the future, and it's a joyful one. We are looking for individuals with the skills, courage, persistence, and dreams that will help us reach our future-focused goals. At our core is innovation. Honda is constantly innovating and developing solutions to drive our business with record success. We strive to be a company that serves as a source of "power" that supports people around the world who are trying to do things based on their own initiative and that helps people expand their own potential. To this end, Honda strives to realize "the joy and freedom of mobility" by developing new technologies and an innovative approach to achieve a "zero environmental footprint." We are looking for qualified individuals with diverse backgrounds, experiences, continuous improvement values, and a strong work ethic to join our team. If your goals and values align with Honda's, we want you to join our team to Bring the Future! Job Purpose As a digital tools engineer, you will develop, deploy, and support digital solutions that improve engineering efficiency, automate repetitive activities, enhance data-driven decision making, and reduce development lead time across the Interior Development Division. Key Accountabilities Digital Solution Development Design, develop, test, deploy, maintain, and continuously improve digital tools using modern software development practices. Deliver solutions that automate engineering workflows, reduce manual effort, improve engineering quality, and shorten development cycle time. Examples: Layout check automation, drawing quality checks, specification validation, cost analysis automation, PIC dashboards, resource planning tools, knowledge retrieval agents Stakeholder Engagement & Deployment Collaborate across multiple departments with engineers, technical leaders, digital transformation teams, and end users to identify opportunities NM1.1 , gather requirements, perform user acceptance testing, deploy solutions, and ensure successful adoption. Documentation & User Enablement Create technical documentation, support materials, training content, and user guides necessary for deployment, maintenance, and long-term sustainability NM2.1 of digital solutions. Project Management Lead or support digital tool projects by defining scope, maintaining schedules, coordinating activities, tracking progress, and communicating status to stakeholders. Personal Development Proactively identify opportunities to improve engineering processes, evaluate emerging technologies NM3.1 digital resources and technologies, and expand technical expertise through self-development, training, and industry best practices. Qualifications, Experience, and Skills A Bachelors level degree in Software Engineering / Computer Science / Computer Information Systems / Information Technology, / Mechanical, Aerospace / Automotive Engineering; or equivalent combination of academics relevant industry experience At least 3 or more years of relevant industry experience Other preferred experience: o Developing engineering automation tools o Power Platform o Working with SharePoint APIs o Applying AI/LLM solutions o Developing dashboards and analytics Must have scripting expertise in Python and JavaScript Highly desired software development expertise in OOP (e.g. - C++ / Java) Microsoft ecosystem: PowerApps (PowerBI, Power Automate), CoPilot Studio Sharepoint Governance and Site Administration skills Past experience with configuring tools and templates for CAD software (CATIA V6 preferred) Desirable: Data and AI: AI-assisted development, LLMs, Data modelling, API integration Must be proficient in use of Microsoft Office programs Ability to understand product development and engineering data workflows Aptitude for studying mechanical design Workstyle This is an onsite job. One remote workday per week may be possible with prior departmental approval. Travel requirements: 10% Overtime (0 5 hrs / workweek) or, as required Visa sponsorship issues This position is not eligible for work visa sponsorship. What differentiates Honda and make us an employer of choice? Total Rewards: Competitive Base Salary (pay will be based on several variables that include, but not limited to geographic location, work experience, etc.) Paid Overtime Regional Bonus (when applicable) Industry-leading Benefit Plans (Medical, Dental, Vision, Rx) Paid time off, including vacation, holidays, shutdown Company Paid Short-Term and Long-Term Disability 401K Plan with company match + additional contribution Relocation assistance (if eligible) Career Growth: Advancement Opportunities Career Mobility Education Reimbursement for Continued Learning Training and Development programs Additional Offerings: Tuition Assistance & Student Loan Repayment Lifestyle Account Childcare Reimbursement Account Elder Care Support Wellbeing Program Community Service and Engagement Programs Product Programs Honda is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor.
09/29/2026
Full time
What Makes a Honda, is Who makes a Honda Honda has a clear vision for the future, and it's a joyful one. We are looking for individuals with the skills, courage, persistence, and dreams that will help us reach our future-focused goals. At our core is innovation. Honda is constantly innovating and developing solutions to drive our business with record success. We strive to be a company that serves as a source of "power" that supports people around the world who are trying to do things based on their own initiative and that helps people expand their own potential. To this end, Honda strives to realize "the joy and freedom of mobility" by developing new technologies and an innovative approach to achieve a "zero environmental footprint." We are looking for qualified individuals with diverse backgrounds, experiences, continuous improvement values, and a strong work ethic to join our team. If your goals and values align with Honda's, we want you to join our team to Bring the Future! Job Purpose As a digital tools engineer, you will develop, deploy, and support digital solutions that improve engineering efficiency, automate repetitive activities, enhance data-driven decision making, and reduce development lead time across the Interior Development Division. Key Accountabilities Digital Solution Development Design, develop, test, deploy, maintain, and continuously improve digital tools using modern software development practices. Deliver solutions that automate engineering workflows, reduce manual effort, improve engineering quality, and shorten development cycle time. Examples: Layout check automation, drawing quality checks, specification validation, cost analysis automation, PIC dashboards, resource planning tools, knowledge retrieval agents Stakeholder Engagement & Deployment Collaborate across multiple departments with engineers, technical leaders, digital transformation teams, and end users to identify opportunities NM1.1 , gather requirements, perform user acceptance testing, deploy solutions, and ensure successful adoption. Documentation & User Enablement Create technical documentation, support materials, training content, and user guides necessary for deployment, maintenance, and long-term sustainability NM2.1 of digital solutions. Project Management Lead or support digital tool projects by defining scope, maintaining schedules, coordinating activities, tracking progress, and communicating status to stakeholders. Personal Development Proactively identify opportunities to improve engineering processes, evaluate emerging technologies NM3.1 digital resources and technologies, and expand technical expertise through self-development, training, and industry best practices. Qualifications, Experience, and Skills A Bachelors level degree in Software Engineering / Computer Science / Computer Information Systems / Information Technology, / Mechanical, Aerospace / Automotive Engineering; or equivalent combination of academics relevant industry experience At least 3 or more years of relevant industry experience Other preferred experience: o Developing engineering automation tools o Power Platform o Working with SharePoint APIs o Applying AI/LLM solutions o Developing dashboards and analytics Must have scripting expertise in Python and JavaScript Highly desired software development expertise in OOP (e.g. - C++ / Java) Microsoft ecosystem: PowerApps (PowerBI, Power Automate), CoPilot Studio Sharepoint Governance and Site Administration skills Past experience with configuring tools and templates for CAD software (CATIA V6 preferred) Desirable: Data and AI: AI-assisted development, LLMs, Data modelling, API integration Must be proficient in use of Microsoft Office programs Ability to understand product development and engineering data workflows Aptitude for studying mechanical design Workstyle This is an onsite job. One remote workday per week may be possible with prior departmental approval. Travel requirements: 10% Overtime (0 5 hrs / workweek) or, as required Visa sponsorship issues This position is not eligible for work visa sponsorship. What differentiates Honda and make us an employer of choice? Total Rewards: Competitive Base Salary (pay will be based on several variables that include, but not limited to geographic location, work experience, etc.) Paid Overtime Regional Bonus (when applicable) Industry-leading Benefit Plans (Medical, Dental, Vision, Rx) Paid time off, including vacation, holidays, shutdown Company Paid Short-Term and Long-Term Disability 401K Plan with company match + additional contribution Relocation assistance (if eligible) Career Growth: Advancement Opportunities Career Mobility Education Reimbursement for Continued Learning Training and Development programs Additional Offerings: Tuition Assistance & Student Loan Repayment Lifestyle Account Childcare Reimbursement Account Elder Care Support Wellbeing Program Community Service and Engagement Programs Product Programs Honda is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor.
Job Description Job Description Description At Nüvitek , customer success is our Ethos; together, we drive transformational outcomes. We only succeed when our customers succeed. We partner with our customers to achieve business objectives by using our proven customer-centric, value-driven business practices and service delivery methodologies. In assuming this position, you will be a critical contributor to meeting Nuvitek's mission: To deliver innovative, cost-effective solutions and services that enable our customers to rapidly adapt to dynamic environments. As a Lead Consultant, ServiceNow , you will play a vital role at Nuvitek. You will work closely with an equally enthusiastic team of developers and engineers in an Agile environment to modernize our customers' applications using low-code solutions and enhance the ServiceNow platform for our organization. Location: Hybrid: Chantilly, VA (Government/Contractor SCIF) 75% on-site/25% remote Clearance: Active Top Secret SCI Required What you will do: Help to envision, design, and implement new features utilizing the ServiceNow low-code platform for the projects based on the prioritized product backlog Bring innovative, out-of-the-box thinking to solving challenging problems, brainstorming with peers, and utilizing available resources, including internal as well as external resources Build service requests from the requirements, including requests, request items, and tasks using workflows - manage data flows from the customer to the support teams providing the service Demonstrated experience in ServiceNow development, configuration, and administration, including experience leading teams in ServiceNow deployments. Unit test all developed features, including edge cases. Also, be comfortable conducting peer reviews of other developer's code as needed Attend and actively participate in all Agile-related meetings. Work within the Agile framework, including participating in User Story grooming sessions, Sprint Planning meetings, and retrospectives Delivery presentations as required to the client during Sprint demos and coordinating meetings with intersecting teams as required. Participate in implementation architectures for digital solutions, frameworks, and accelerators. Participate in knowledge-sharing sessions within the company to socialize best practices and draft white papers as applicable. Help with building proof of concept, and creating technical solutions for internal application as needed. What you will bring: Bachelor's degree in computer science, Information Systems, or an equivalent technical field. 8+ years of professional experience with the ServiceNow eco-system performing project implementations that exploit the ServiceNow platform's full capabilities (discover, design, implement, and optimize) while delivering in an Agile framework. 6+ years specializing in multiple offerings like major ServiceNow suites (ITSM, ITOM, HRSD, CMDB, SPM) Experience with programming languages like JavaScript, Glide API, Business Rules, Client Scripts, UI Policies, Script Includes, Flow Designer, Integration Hub, Service Portal, and platform scripting. Demonstrate extensive experience in creating and managing complex integrations such as SOAP, REST, SSO, SAML, SSL, LDAP, JDBC, ODBC, MID Servers, Ebonding, API development, Data Migration, and Flow Designer automation etc. Experience with Service Portal development using AngularJS, HTML, CSS, and Bootstrap is a plus. Knowledge of MID Server, LDAP, SSO, OAuth, and Web Services integration. Experience with CI/CD integrations, DevSecOps and security-in-the-pipeline, and code review. A solid understanding of IT delivery methodology and leading teams in the implementation of the solution according to the design/architecture. Experience with configuring ServiceNow components such as Flows, Spokes, Service Catalog, App Engine, Change /Incident/Problem Management, Asset Management, CMDB, Knowledge, Event Management, etc. Experience with creating reports and dashboards within ServiceNow Performance Analytics. Possess the Following Certifications: ServiceNow Certified System Administrator (CSA) Possess a cybersecurity focused certification like Security+ ServiceNow Developer for IT, Security, HR, CS, Platform Application Development ITIL 4 Foundation (ITIL 4) Fairly good understanding of data concepts (SQL, Databases) and business workflows Strong verbal and writing skills, including the demonstrated ability to effectively communicate at all levels with technical as well as business resources US Citizen, ability to attain public trust clearance. Highly Desired Qualifications Unique combination of being business-minded and highly analytical while also having a strong and deep technical background in ServiceNow Able and willing to work independently and in a fast-paced environment with tight deadlines with minimal supervision Experience handling multiple tasks, changing priorities, and timely action; experience with Agile methodologies and project management. Strong troubleshooting, problem-solving, and organizational and time management skills. Good communication and interpersonal skills in a remote environment Experience working with software development team members. Other open sources of technology experience preferred Experience working with the U.S. Federal Government and its agencies. Obtain the Following Certifications: ServiceNow Certified Implementation Specialist (CIS) in one or more modules (ITSM, HRSD, ITAM, or SecOps) SAFe Scrum Master (SSM), SAFe Agilist (SA), or Certified Scrum Master (CSM) Why Join Nuvitek? Opportunity to shape innovative digital solutions while being equally valued for hands-on problem-solving and presales creativity. A collaborative, Agile work culture focused on continuous improvement, learning, and mentorship. High-impact role that bridges client engagement and technical delivery-ideal for professionals seeking a balance between customer interaction and technical depth. Nuvitek is proud to offer a comprehensive benefits package: Medical Insurance Dental Insurance Vision Insurance Disability and Life Insurance Parental Leave 401K Paid Time Off Equal Opportunity Employer Statement Nuvitek is an equal-opportunity employer as to all protected groups, including protected veterans and individuals with disabilities. AI & Interview Technology Disclosure Nüvitek uses artificial intelligence (AI) technology to assist with the review and organization of job applications. AI-assisted tools may be used to help identify application information relevant to the position; however, AI does not make hiring decisions. Employment decisions are made by Nüvitek through human review and consideration of candidate qualifications. During interviews, Nüvitek may use Google Gemini as a notetaking and meeting-assistance tool to help document and organize interview discussions. Candidates will be informed when AI-assisted notetaking is used during an interview.
09/28/2026
Full time
Job Description Job Description Description At Nüvitek , customer success is our Ethos; together, we drive transformational outcomes. We only succeed when our customers succeed. We partner with our customers to achieve business objectives by using our proven customer-centric, value-driven business practices and service delivery methodologies. In assuming this position, you will be a critical contributor to meeting Nuvitek's mission: To deliver innovative, cost-effective solutions and services that enable our customers to rapidly adapt to dynamic environments. As a Lead Consultant, ServiceNow , you will play a vital role at Nuvitek. You will work closely with an equally enthusiastic team of developers and engineers in an Agile environment to modernize our customers' applications using low-code solutions and enhance the ServiceNow platform for our organization. Location: Hybrid: Chantilly, VA (Government/Contractor SCIF) 75% on-site/25% remote Clearance: Active Top Secret SCI Required What you will do: Help to envision, design, and implement new features utilizing the ServiceNow low-code platform for the projects based on the prioritized product backlog Bring innovative, out-of-the-box thinking to solving challenging problems, brainstorming with peers, and utilizing available resources, including internal as well as external resources Build service requests from the requirements, including requests, request items, and tasks using workflows - manage data flows from the customer to the support teams providing the service Demonstrated experience in ServiceNow development, configuration, and administration, including experience leading teams in ServiceNow deployments. Unit test all developed features, including edge cases. Also, be comfortable conducting peer reviews of other developer's code as needed Attend and actively participate in all Agile-related meetings. Work within the Agile framework, including participating in User Story grooming sessions, Sprint Planning meetings, and retrospectives Delivery presentations as required to the client during Sprint demos and coordinating meetings with intersecting teams as required. Participate in implementation architectures for digital solutions, frameworks, and accelerators. Participate in knowledge-sharing sessions within the company to socialize best practices and draft white papers as applicable. Help with building proof of concept, and creating technical solutions for internal application as needed. What you will bring: Bachelor's degree in computer science, Information Systems, or an equivalent technical field. 8+ years of professional experience with the ServiceNow eco-system performing project implementations that exploit the ServiceNow platform's full capabilities (discover, design, implement, and optimize) while delivering in an Agile framework. 6+ years specializing in multiple offerings like major ServiceNow suites (ITSM, ITOM, HRSD, CMDB, SPM) Experience with programming languages like JavaScript, Glide API, Business Rules, Client Scripts, UI Policies, Script Includes, Flow Designer, Integration Hub, Service Portal, and platform scripting. Demonstrate extensive experience in creating and managing complex integrations such as SOAP, REST, SSO, SAML, SSL, LDAP, JDBC, ODBC, MID Servers, Ebonding, API development, Data Migration, and Flow Designer automation etc. Experience with Service Portal development using AngularJS, HTML, CSS, and Bootstrap is a plus. Knowledge of MID Server, LDAP, SSO, OAuth, and Web Services integration. Experience with CI/CD integrations, DevSecOps and security-in-the-pipeline, and code review. A solid understanding of IT delivery methodology and leading teams in the implementation of the solution according to the design/architecture. Experience with configuring ServiceNow components such as Flows, Spokes, Service Catalog, App Engine, Change /Incident/Problem Management, Asset Management, CMDB, Knowledge, Event Management, etc. Experience with creating reports and dashboards within ServiceNow Performance Analytics. Possess the Following Certifications: ServiceNow Certified System Administrator (CSA) Possess a cybersecurity focused certification like Security+ ServiceNow Developer for IT, Security, HR, CS, Platform Application Development ITIL 4 Foundation (ITIL 4) Fairly good understanding of data concepts (SQL, Databases) and business workflows Strong verbal and writing skills, including the demonstrated ability to effectively communicate at all levels with technical as well as business resources US Citizen, ability to attain public trust clearance. Highly Desired Qualifications Unique combination of being business-minded and highly analytical while also having a strong and deep technical background in ServiceNow Able and willing to work independently and in a fast-paced environment with tight deadlines with minimal supervision Experience handling multiple tasks, changing priorities, and timely action; experience with Agile methodologies and project management. Strong troubleshooting, problem-solving, and organizational and time management skills. Good communication and interpersonal skills in a remote environment Experience working with software development team members. Other open sources of technology experience preferred Experience working with the U.S. Federal Government and its agencies. Obtain the Following Certifications: ServiceNow Certified Implementation Specialist (CIS) in one or more modules (ITSM, HRSD, ITAM, or SecOps) SAFe Scrum Master (SSM), SAFe Agilist (SA), or Certified Scrum Master (CSM) Why Join Nuvitek? Opportunity to shape innovative digital solutions while being equally valued for hands-on problem-solving and presales creativity. A collaborative, Agile work culture focused on continuous improvement, learning, and mentorship. High-impact role that bridges client engagement and technical delivery-ideal for professionals seeking a balance between customer interaction and technical depth. Nuvitek is proud to offer a comprehensive benefits package: Medical Insurance Dental Insurance Vision Insurance Disability and Life Insurance Parental Leave 401K Paid Time Off Equal Opportunity Employer Statement Nuvitek is an equal-opportunity employer as to all protected groups, including protected veterans and individuals with disabilities. AI & Interview Technology Disclosure Nüvitek uses artificial intelligence (AI) technology to assist with the review and organization of job applications. AI-assisted tools may be used to help identify application information relevant to the position; however, AI does not make hiring decisions. Employment decisions are made by Nüvitek through human review and consideration of candidate qualifications. During interviews, Nüvitek may use Google Gemini as a notetaking and meeting-assistance tool to help document and organize interview discussions. Candidates will be informed when AI-assisted notetaking is used during an interview.
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
09/28/2026
Full time
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
Job Description Job Description About the Role FES is seeking a Senior DDC Engineer / Programmer with deep technical expertise in building automation and control systems. This is a hands-on leadership role that combines advanced programming, field commissioning, and project delivery with mentoring and client-facing responsibilities. You'll lead complex projects, provide technical direction to technicians, and collaborate closely with engineering, construction, and service teams to deliver reliable, high-performance control solutions. Key Responsibilities Collaborate with the Engineering Department to review and advise on control drawings and project submittals. Program, integrate, and commission DDC systems and field devices across multiple platforms. Ensure accurate operation of all building control sequences, alarms, trends, and archives. Develop and implement custom graphics for end-user interfaces. Train and mentor DDC technicians and provide system training for clients. Integrate BAS with third-party building systems (e.g., chillers, generators, lighting). Troubleshoot complex system and network issues (BACnet IP, MS/TP, LAN/WAN). Read and interpret mechanical drawings, sequences of operation, and specifications. Prepare and deliver as-built documentation and support project turnover. Support both on-site commissioning and remote diagnostics as needed. Company Description Facility Engineering Services is a growing company with business interests in HVAC mechanical service, automatic temperature controls installation, and DDC service. We are a market leader in the Baltimore/Washington metropolitan area and have involvement in projects worldwide. Company Description Facility Engineering Services is a growing company with business interests in HVAC mechanical service, automatic temperature controls installation, and DDC service. We are a market leader in the Baltimore/Washington metropolitan area and have involvement in projects worldwide.
09/28/2026
Full time
Job Description Job Description About the Role FES is seeking a Senior DDC Engineer / Programmer with deep technical expertise in building automation and control systems. This is a hands-on leadership role that combines advanced programming, field commissioning, and project delivery with mentoring and client-facing responsibilities. You'll lead complex projects, provide technical direction to technicians, and collaborate closely with engineering, construction, and service teams to deliver reliable, high-performance control solutions. Key Responsibilities Collaborate with the Engineering Department to review and advise on control drawings and project submittals. Program, integrate, and commission DDC systems and field devices across multiple platforms. Ensure accurate operation of all building control sequences, alarms, trends, and archives. Develop and implement custom graphics for end-user interfaces. Train and mentor DDC technicians and provide system training for clients. Integrate BAS with third-party building systems (e.g., chillers, generators, lighting). Troubleshoot complex system and network issues (BACnet IP, MS/TP, LAN/WAN). Read and interpret mechanical drawings, sequences of operation, and specifications. Prepare and deliver as-built documentation and support project turnover. Support both on-site commissioning and remote diagnostics as needed. Company Description Facility Engineering Services is a growing company with business interests in HVAC mechanical service, automatic temperature controls installation, and DDC service. We are a market leader in the Baltimore/Washington metropolitan area and have involvement in projects worldwide. Company Description Facility Engineering Services is a growing company with business interests in HVAC mechanical service, automatic temperature controls installation, and DDC service. We are a market leader in the Baltimore/Washington metropolitan area and have involvement in projects worldwide.
Job Description Job Description Description Technical Lead - Microsoft Technologies (.NET, Azure, Angular, AI) Preference will be given to candidates located in Dallas, TX, New Jersey or New York City metro area who are willing to have an insite interview, and/or work a hybrid schedule. About Hallmark Health Care Solutions At Hallmark Health Care Solutions, what we do and how we do it go hand in hand. We bring a relentless focus to both our products and our people-grounded in curiosity, a bias for action, accountability and ownership, strong judgment, and a willingness to challenge the status quo in pursuit of better outcomes. Hallmark Health Care Solutions is led by passionate experts with an average of 20+ years' experience in IT, nursing, process engineering, finance, and healthcare. We are committed to strengthening communities by producing technologies, support services, and thought leadership that tangibly improve patient care and community health outcomes. Position Summary Seeking a hands-on Technical Lead with strong Microsoft stack, Azure, Angular, and cloud-native application expertise. The ideal candidate will lead teams, design scalable solutions, and drive engineering best practices. Experience with Azure AI, Azure OpenAI, or similar platforms is required. The role combines technical leadership, hands-on development, code reviews, architecture guidance, and mentoring. Key Responsibilities Software Development Design and develop scalable enterprise applications using C#, .NET Core/.NET 8+, ASP.NET Core, and Web APIs. Develop modern, responsive front-end applications using Angular and TypeScript. Build secure RESTful APIs and microservices. Optimize application performance, scalability, and reliability. Troubleshoot complex production issues and provide root cause analysis. Exposure to Basic Azure Cloud & Infrastructure Management and services like AKS, Service Bus, App Insights etc . Design and implement authentication and authorization using Microsoft Entra ID (Azure AD) and Azure AD B2C (Microsoft Entra External ID). Candidate should have practical experience implementing AI solutions, Should have exposure to Database design & Performance optimization AI Solution Design & Delivery Understand business problems and translate them into scalable AI/ML and Generative AI solutions. Design, develop, and deploy enterprise-grade AI systems with a strong focus on reliability, scalability, monitoring, and measurable outcomes. Lead or contribute to multiple AI initiatives simultaneously while coordinating with engineering leads, product managers, architects, and offshore teams. Technical Leadership Lead one or more Agile development teams delivering enterprise SaaS applications. Provide technical direction and architectural guidance throughout the software development lifecycle. Establish and enforce coding standards, design principles, and development best practices. Conduct thorough code reviews and ensure high-quality, maintainable code. Mentor developers and help improve their technical capabilities. Participate in sprint planning, backlog refinement, estimation, and technical design discussions. Drive engineering excellence through automation, quality, and continuous improvement. Candidate will be working closely with Product Managers, Architects, QA Engineers, DevOps Engineers, and Business Analysts. Skills, Knowledge & Expertise Required Qualifications Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience). 8+ years of software development experience using Microsoft technologies. 3+ years leading engineering teams or serving as a Technical Lead Expert-level proficiency in: C# .NET Core / .NET 6/7/8 ASP.NET Core Web APIs Entity Framework Core SQL Server Strong experience with Angular (v12+) and TypeScript. 2+ years of software engineering experience with at least 3+ years focused on AI/ML and Generative AI initiatives. Strong hands-on experience building and deploying production AI systems. Experience delivering AI initiatives independently in enterprise environments. Strong understanding of LLMs, Agentic AI architectures, and RAG systems. Extensive experience designing and developing cloud-native applications on Microsoft Azure. Strong understanding of Microservices Architecture and Domain-Driven Design (DDD). Experience implementing CI/CD pipelines using Azure DevOps or GitHub Actions. Strong knowledge of Azure AD, Azure AD B2C (Microsoft Entra External ID), OAuth 2.0, and JWT. Excellent debugging, troubleshooting, and performance optimization skills. Experience conducting technical design reviews and code reviews. Job Benefits Medical, Dental, and Vision Insurance with Employee Premiums Covered by HHCS at 100% and Company Cost Share for any Dependents Enrolled $3000 Annual Company Contributions to HSAs for all Employees Enrolled in the HSA Eligible Health Plan Unlimited Paid Time Off Pre-Tax and Roth 401(K) Retirement Options On-Site Gym, Free Parking, and Provided Lunches 3 Times per Week in the Dallas Office! Hallmark Health Care Solutions, Inc is an Equal Opportunity Employer. All employment decisions are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex, age, physical, mental or sensory disability, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. HHCS reserves the right to amend the job description, duties or qualifications based on company needs. By applying to Hallmark Health Care Solutions, your application and all supplemental information is subject to our Privacy Policy. When clicking "Apply", you will be redirected to our Applicant Tracking System, Pinpoint.
09/28/2026
Full time
Job Description Job Description Description Technical Lead - Microsoft Technologies (.NET, Azure, Angular, AI) Preference will be given to candidates located in Dallas, TX, New Jersey or New York City metro area who are willing to have an insite interview, and/or work a hybrid schedule. About Hallmark Health Care Solutions At Hallmark Health Care Solutions, what we do and how we do it go hand in hand. We bring a relentless focus to both our products and our people-grounded in curiosity, a bias for action, accountability and ownership, strong judgment, and a willingness to challenge the status quo in pursuit of better outcomes. Hallmark Health Care Solutions is led by passionate experts with an average of 20+ years' experience in IT, nursing, process engineering, finance, and healthcare. We are committed to strengthening communities by producing technologies, support services, and thought leadership that tangibly improve patient care and community health outcomes. Position Summary Seeking a hands-on Technical Lead with strong Microsoft stack, Azure, Angular, and cloud-native application expertise. The ideal candidate will lead teams, design scalable solutions, and drive engineering best practices. Experience with Azure AI, Azure OpenAI, or similar platforms is required. The role combines technical leadership, hands-on development, code reviews, architecture guidance, and mentoring. Key Responsibilities Software Development Design and develop scalable enterprise applications using C#, .NET Core/.NET 8+, ASP.NET Core, and Web APIs. Develop modern, responsive front-end applications using Angular and TypeScript. Build secure RESTful APIs and microservices. Optimize application performance, scalability, and reliability. Troubleshoot complex production issues and provide root cause analysis. Exposure to Basic Azure Cloud & Infrastructure Management and services like AKS, Service Bus, App Insights etc . Design and implement authentication and authorization using Microsoft Entra ID (Azure AD) and Azure AD B2C (Microsoft Entra External ID). Candidate should have practical experience implementing AI solutions, Should have exposure to Database design & Performance optimization AI Solution Design & Delivery Understand business problems and translate them into scalable AI/ML and Generative AI solutions. Design, develop, and deploy enterprise-grade AI systems with a strong focus on reliability, scalability, monitoring, and measurable outcomes. Lead or contribute to multiple AI initiatives simultaneously while coordinating with engineering leads, product managers, architects, and offshore teams. Technical Leadership Lead one or more Agile development teams delivering enterprise SaaS applications. Provide technical direction and architectural guidance throughout the software development lifecycle. Establish and enforce coding standards, design principles, and development best practices. Conduct thorough code reviews and ensure high-quality, maintainable code. Mentor developers and help improve their technical capabilities. Participate in sprint planning, backlog refinement, estimation, and technical design discussions. Drive engineering excellence through automation, quality, and continuous improvement. Candidate will be working closely with Product Managers, Architects, QA Engineers, DevOps Engineers, and Business Analysts. Skills, Knowledge & Expertise Required Qualifications Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience). 8+ years of software development experience using Microsoft technologies. 3+ years leading engineering teams or serving as a Technical Lead Expert-level proficiency in: C# .NET Core / .NET 6/7/8 ASP.NET Core Web APIs Entity Framework Core SQL Server Strong experience with Angular (v12+) and TypeScript. 2+ years of software engineering experience with at least 3+ years focused on AI/ML and Generative AI initiatives. Strong hands-on experience building and deploying production AI systems. Experience delivering AI initiatives independently in enterprise environments. Strong understanding of LLMs, Agentic AI architectures, and RAG systems. Extensive experience designing and developing cloud-native applications on Microsoft Azure. Strong understanding of Microservices Architecture and Domain-Driven Design (DDD). Experience implementing CI/CD pipelines using Azure DevOps or GitHub Actions. Strong knowledge of Azure AD, Azure AD B2C (Microsoft Entra External ID), OAuth 2.0, and JWT. Excellent debugging, troubleshooting, and performance optimization skills. Experience conducting technical design reviews and code reviews. Job Benefits Medical, Dental, and Vision Insurance with Employee Premiums Covered by HHCS at 100% and Company Cost Share for any Dependents Enrolled $3000 Annual Company Contributions to HSAs for all Employees Enrolled in the HSA Eligible Health Plan Unlimited Paid Time Off Pre-Tax and Roth 401(K) Retirement Options On-Site Gym, Free Parking, and Provided Lunches 3 Times per Week in the Dallas Office! Hallmark Health Care Solutions, Inc is an Equal Opportunity Employer. All employment decisions are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex, age, physical, mental or sensory disability, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. HHCS reserves the right to amend the job description, duties or qualifications based on company needs. By applying to Hallmark Health Care Solutions, your application and all supplemental information is subject to our Privacy Policy. When clicking "Apply", you will be redirected to our Applicant Tracking System, Pinpoint.
