Billable Hours: 80% of worked hours Travel: Minimal The Cybersecurity Engineer to serve as a subject matter expert in many areas of security, able to describe and document in business terms the impact of security policies, standards, and architecture. This person plays a vital dual role in our organization, with time being spent facilitating our Cybersecurity offering as well as focusing on CMMC Compliance. The Cybersecurity Engineer provides security direction to the business and project stakeholders to ensure that security is a key focus for all projects and new business initiatives, as well as technical expertise on assigned clients, tickets, and CMMC Compliance projects. ESSENTIAL FUNCTIONS: Project engagement during the initiation, requirements, and design stages to ensure that security has been considered and is included into the design at the appropriate level based on the risks Security review and design of complex applications and technologies Evaluation and maintenance of security system plans and procedures to safeguard internal information systems Researching and recommendation/implementation of changes to procedures and systems to enhance security aligned with corporate policies Accountable for ensuring that key risks and issues are identified, addressed and resolved in a manner that satisfies the business Perform security risk assessments to determine level of security services to include: Document Customers' Systems Liaison between ComTec and Cybersecurity Vendors Weekly review and analysis of Cybersecurity Reports ADDITIONAL RESPONSIBILITIES: Monitor assigned tickets and tasks and provide service or escalation as necessary. Develop tasks & milestones for security projects. Able to translate business and non-functional requirements to establish security controls so that a proper security design can be architected and to document the security solution for communication and publication. Demonstrated analytical skills - continuously identifies problems, collect or interpret data, establish facts, anticipate obstacles, and develops plans to resolve; strong problem-solving skills while communicating in a clear and succinct manner effectively evaluating information and data to make decisions. Proven understanding of the current vulnerabilities, response, and mitigation strategies used in Cybersecurity. Experience of designing and incorporating technical security controls that align to NIST 800-171, and/or CMMC. Prepared to challenge business and IT colleagues and have the "difficult conversations" where needed in the interests of the company. Demonstrated customer focus - evaluate decisions through the eyes of the customer; build strong customer relationships and create processes from the customer viewpoint. Able to operate as a highly independent worker and as part of a strong team/collaborative approach. Accurately enter and maintain ticket information including notes and resolution. Adhere to departmental policies for reporting and managing requests and change controls. Maintain daily timesheet and expense report entries and submit them accurately and timely. Other duties as required. TECHNICAL SKILLS: Strong background in security architecture including a deep knowledge of IT network security (secure LAN, WAN, vLAN, MPLS, and secure network zoning and restricted network design) and cloud-based technologies. Strong background in Network Engineering including a deep understanding of Windows Server architecture, Windows Virtualization, Networking, Backup Solutions, and Disaster Recovery Strong background in Microsoft security architecture including a deep knowledge of server and workstation security. Ability to troubleshoot server based software issues with: Microsoft Windows Server operating systems On Premise Microsoft Exchange and hosted Microsoft Office 365 Microsoft Remote Desktop Services Microsoft Hyper-V and VMWare Enterprise EDR and MDR solutions Enterprise class backup solutions Knowledgeable of various server/workstation peripherals such as NAS/SAN solutions. In depth knowledge of workstation/server hardware and software troubleshooting abilities Strong understanding of networking equipment such as Switches, Firewalls, and Wireless Access Points SOFT SKILLS & ABILITIES: Strong written and verbal communication skills. Pleasant and professional demeanor in all client and internal communications. Ability to multi task. Independent worker and able to work effectively on daily tasks without direct supervision. Strong organization skills and ability to operate efficiently throughout daily tasks. Work well with clients at all levels, from executive to IT to end user. EDUCATION, EXPERIENCE, & KNOWLEDGE: (5) years working in Information Technology (2) years in Cybersecurity (1) year in CMMC compliance Information Security Qualifications such as CISSP, CISM, CISA, and ISSAP, a plus. Certified CMMC Professional (CCP) Familiarity with NIST SP 800-171, or 800-53 Vulnerability Management ADDITIONAL REQUIREMENTS: Ability to schedule for evening or weekend work occasionally Valid driver's license in your state of residence and reliable personal vehicle WORK ENVIRONMENT/PHYSICAL DEMANDS: Use of computer and office equipment Ability to remain calm in stressful situations Performs all administrative functions expected at this level PIedea33ca061f-1570
08/06/2026
Full time
Billable Hours: 80% of worked hours Travel: Minimal The Cybersecurity Engineer to serve as a subject matter expert in many areas of security, able to describe and document in business terms the impact of security policies, standards, and architecture. This person plays a vital dual role in our organization, with time being spent facilitating our Cybersecurity offering as well as focusing on CMMC Compliance. The Cybersecurity Engineer provides security direction to the business and project stakeholders to ensure that security is a key focus for all projects and new business initiatives, as well as technical expertise on assigned clients, tickets, and CMMC Compliance projects. ESSENTIAL FUNCTIONS: Project engagement during the initiation, requirements, and design stages to ensure that security has been considered and is included into the design at the appropriate level based on the risks Security review and design of complex applications and technologies Evaluation and maintenance of security system plans and procedures to safeguard internal information systems Researching and recommendation/implementation of changes to procedures and systems to enhance security aligned with corporate policies Accountable for ensuring that key risks and issues are identified, addressed and resolved in a manner that satisfies the business Perform security risk assessments to determine level of security services to include: Document Customers' Systems Liaison between ComTec and Cybersecurity Vendors Weekly review and analysis of Cybersecurity Reports ADDITIONAL RESPONSIBILITIES: Monitor assigned tickets and tasks and provide service or escalation as necessary. Develop tasks & milestones for security projects. Able to translate business and non-functional requirements to establish security controls so that a proper security design can be architected and to document the security solution for communication and publication. Demonstrated analytical skills - continuously identifies problems, collect or interpret data, establish facts, anticipate obstacles, and develops plans to resolve; strong problem-solving skills while communicating in a clear and succinct manner effectively evaluating information and data to make decisions. Proven understanding of the current vulnerabilities, response, and mitigation strategies used in Cybersecurity. Experience of designing and incorporating technical security controls that align to NIST 800-171, and/or CMMC. Prepared to challenge business and IT colleagues and have the "difficult conversations" where needed in the interests of the company. Demonstrated customer focus - evaluate decisions through the eyes of the customer; build strong customer relationships and create processes from the customer viewpoint. Able to operate as a highly independent worker and as part of a strong team/collaborative approach. Accurately enter and maintain ticket information including notes and resolution. Adhere to departmental policies for reporting and managing requests and change controls. Maintain daily timesheet and expense report entries and submit them accurately and timely. Other duties as required. TECHNICAL SKILLS: Strong background in security architecture including a deep knowledge of IT network security (secure LAN, WAN, vLAN, MPLS, and secure network zoning and restricted network design) and cloud-based technologies. Strong background in Network Engineering including a deep understanding of Windows Server architecture, Windows Virtualization, Networking, Backup Solutions, and Disaster Recovery Strong background in Microsoft security architecture including a deep knowledge of server and workstation security. Ability to troubleshoot server based software issues with: Microsoft Windows Server operating systems On Premise Microsoft Exchange and hosted Microsoft Office 365 Microsoft Remote Desktop Services Microsoft Hyper-V and VMWare Enterprise EDR and MDR solutions Enterprise class backup solutions Knowledgeable of various server/workstation peripherals such as NAS/SAN solutions. In depth knowledge of workstation/server hardware and software troubleshooting abilities Strong understanding of networking equipment such as Switches, Firewalls, and Wireless Access Points SOFT SKILLS & ABILITIES: Strong written and verbal communication skills. Pleasant and professional demeanor in all client and internal communications. Ability to multi task. Independent worker and able to work effectively on daily tasks without direct supervision. Strong organization skills and ability to operate efficiently throughout daily tasks. Work well with clients at all levels, from executive to IT to end user. EDUCATION, EXPERIENCE, & KNOWLEDGE: (5) years working in Information Technology (2) years in Cybersecurity (1) year in CMMC compliance Information Security Qualifications such as CISSP, CISM, CISA, and ISSAP, a plus. Certified CMMC Professional (CCP) Familiarity with NIST SP 800-171, or 800-53 Vulnerability Management ADDITIONAL REQUIREMENTS: Ability to schedule for evening or weekend work occasionally Valid driver's license in your state of residence and reliable personal vehicle WORK ENVIRONMENT/PHYSICAL DEMANDS: Use of computer and office equipment Ability to remain calm in stressful situations Performs all administrative functions expected at this level PIedea33ca061f-1570
Rochester Precision Optics LLC
West Henrietta, New York
Title Systems Administrator Department Information Technology (IT) Reports to Information Technology Manager SEE YOUR CAREER THROUGH A NEW LENS WITH RPO! RPO is a global leader in precision optics, optical components, and optical assemblies. We specialize in a full spectrum of products & services including - Design and Engineering, Systems Integration, Lens Assembly, Visible and Infrared Components, Glass and Plastic Molded Aspheres, and Thin Film Coating. As one of the fastest growing companies in Rochester, RPO offers exciting career paths and work on market-leading programs. See below one of many career opportunities to join the RPO team! Position Overview Rochester Precision Optics LLC. (RPO) is seeking an experienced Systems Administrator to support the day-to-day operation, stability, and continuous improvement of our enterprise infrastructure supporting approximately 300 users across both corporate and manufacturing operations. Our environment relies on someone who can confidently administer Windows Server, Active Directory, virtualization, and Microsoft 365 while also supporting the network infrastructure that connects it all. The ideal candidate has a strong systems administration foundation with hands-on experience supporting enterprise networking, including switches, firewalls, VLANs, VPNs, and wireless technologies. Working closely with the IT Manager, you'll play a key role in maintaining a secure, reliable, and high-performing IT environment while contributing to infrastructure modernization, cybersecurity initiatives, and strategic technology projects. This is an opportunity for someone who enjoys solving complex infrastructure challenges, takes ownership of their work, and wants to make a measurable impact across the organization. Key Responsibilities: Systems Administration & Infrastructure Management Administer and maintain Windows Server environments, Active Directory, Group Policy, DNS, DHCP, and core Microsoft infrastructure services. Support VMware or Hyper-V virtualization environments, server resources, storage systems, and enterprise backup solutions. Perform system maintenance including patching, upgrades, configuration changes, and troubleshooting. Support Microsoft 365 services including Exchange Online, Teams, and Entra ID. Maintain infrastructure documentation, system standards, and technical procedures. Network Infrastructure Support Support enterprise network infrastructure including switches, firewalls, VPNs, and wireless networks. Troubleshoot VLANs, routing, subnetting, network connectivity, and security controls. Assist with network upgrades, infrastructure expansion projects, and technology improvements. Support network-connected systems including VoIP, security systems, and other enterprise technologies. Security & Operational Support Assist with infrastructure security initiatives, including system hardening, vulnerability remediation, and cybersecurity best practices. Assist with compliance initiatives related to NIST 800-171 and CMMC 2.0. Serve as a Tier II/Tier III escalation resource for complex systems and infrastructure issues. Partner with the IT Manager on infrastructure projects, technology improvements, and long-term planning. Knowledge, Skills, and Abilities: Bachelor's degree in information technology, Computer Science, or a related field preferred, or equivalent combination of education and hands-on experience. 4+ years of experience supporting enterprise IT infrastructure in a Systems Administrator, Infrastructure Administrator, Network Administrator, or similar role. Strong experience administering Windows Server environments, Active Directory, Group Policy, DNS, and DHCP. Experience supporting Microsoft 365 environments, including Exchange Online, Teams, and Entra ID. Experience supporting virtualization platforms such as VMware or Hyper-V. Experience administering and troubleshooting enterprise network infrastructure, including switches, VLANs, firewalls, VPNs, and wireless technologies. Experience supporting enterprise backup solutions, such as Veeam, and disaster recovery. Familiarity with endpoint management, software deployment, and security tools. Strong troubleshooting and problem-solving skills with the ability to independently diagnose and resolve complex technical issues. Ability to effectively communicate technical information and collaborate with both technical and non-technical teams. Preferred Qualifications Experience with cybersecurity frameworks or compliance requirements such as NIST 800-171 or CMMC. Experience with Microsoft Intune, Endpoint Central, or similar endpoint management platforms. PowerShell scripting or automation experience. Experience supporting ERP systems, SQL Server environments, or other business-critical applications. Industry certifications such as Network+, Security+, Microsoft, VMware, or Cisco certifications are a plus! Additional Requirements: Pursuant to ITAR, EAR, and other export compliance laws and regulations, applicants for this position must be U.S. Persons as defined by U.S. law, i.e., U.S. citizens, lawful permanent residents ("Green Card" holders), persons granted refugee status or asylum status in the United States, or temporary residents granted amnesty. Compensation & Benefits: Competitive compensation package linked to your experience and performance. 401(k) with company match and Tuition Reimbursement opportunities. Health, dental, vision, HSA, & life insurance. Paid time off including vacation, sick time, and 11 paid company holidays Work Requirements & Physical Demands: This is an on-site, hands-on IT role supporting both corporate office and manufacturing operations. The Systems Administrator will work in a collaborative environment where technology directly supports critical business and production processes. The role requires regular interaction with computer systems, servers, network equipment, and end-user technology across the organization. Occasional movement throughout the facility may be required to support infrastructure, troubleshoot equipment, and assist with technology deployments. Physical requirements may include: Ability to sit, stand, and work at a computer for extended periods. Ability to walk throughout office and manufacturing areas. Ability to lift, carry, and install IT equipment such as computers, monitors, networking equipment, and related hardware (typically up to 50 lbs.). Ability to work in both office and manufacturing environments while following applicable safety requirements. Occasional after-hours support may be required for scheduled maintenance, upgrades, or critical infrastructure issues. Disclaimer: This job description reflects management's assignment of essential functions; it does not prescribe or restrict the tasks that may be assigned. The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed. Rochester Precision Optics is committed to leveraging the talent of a diverse workforce to create great opportunities for our business and our people. EOE/AA/Race/Gender/Disability/Veteran In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States, and to complete This is a full-time, on-site position based at our West Henrietta, NY facility. The standard work schedule is Monday through Friday, 7:00 AM to 3:30 PM. Participation in an occasional rotating on-call schedule is required to provide after-hours support for critical infrastructure issues, planned maintenance, and emergency response as needed. Compensation details: 0 Yearly Salary PIbc2cfe6-
08/06/2026
Full time
Title Systems Administrator Department Information Technology (IT) Reports to Information Technology Manager SEE YOUR CAREER THROUGH A NEW LENS WITH RPO! RPO is a global leader in precision optics, optical components, and optical assemblies. We specialize in a full spectrum of products & services including - Design and Engineering, Systems Integration, Lens Assembly, Visible and Infrared Components, Glass and Plastic Molded Aspheres, and Thin Film Coating. As one of the fastest growing companies in Rochester, RPO offers exciting career paths and work on market-leading programs. See below one of many career opportunities to join the RPO team! Position Overview Rochester Precision Optics LLC. (RPO) is seeking an experienced Systems Administrator to support the day-to-day operation, stability, and continuous improvement of our enterprise infrastructure supporting approximately 300 users across both corporate and manufacturing operations. Our environment relies on someone who can confidently administer Windows Server, Active Directory, virtualization, and Microsoft 365 while also supporting the network infrastructure that connects it all. The ideal candidate has a strong systems administration foundation with hands-on experience supporting enterprise networking, including switches, firewalls, VLANs, VPNs, and wireless technologies. Working closely with the IT Manager, you'll play a key role in maintaining a secure, reliable, and high-performing IT environment while contributing to infrastructure modernization, cybersecurity initiatives, and strategic technology projects. This is an opportunity for someone who enjoys solving complex infrastructure challenges, takes ownership of their work, and wants to make a measurable impact across the organization. Key Responsibilities: Systems Administration & Infrastructure Management Administer and maintain Windows Server environments, Active Directory, Group Policy, DNS, DHCP, and core Microsoft infrastructure services. Support VMware or Hyper-V virtualization environments, server resources, storage systems, and enterprise backup solutions. Perform system maintenance including patching, upgrades, configuration changes, and troubleshooting. Support Microsoft 365 services including Exchange Online, Teams, and Entra ID. Maintain infrastructure documentation, system standards, and technical procedures. Network Infrastructure Support Support enterprise network infrastructure including switches, firewalls, VPNs, and wireless networks. Troubleshoot VLANs, routing, subnetting, network connectivity, and security controls. Assist with network upgrades, infrastructure expansion projects, and technology improvements. Support network-connected systems including VoIP, security systems, and other enterprise technologies. Security & Operational Support Assist with infrastructure security initiatives, including system hardening, vulnerability remediation, and cybersecurity best practices. Assist with compliance initiatives related to NIST 800-171 and CMMC 2.0. Serve as a Tier II/Tier III escalation resource for complex systems and infrastructure issues. Partner with the IT Manager on infrastructure projects, technology improvements, and long-term planning. Knowledge, Skills, and Abilities: Bachelor's degree in information technology, Computer Science, or a related field preferred, or equivalent combination of education and hands-on experience. 4+ years of experience supporting enterprise IT infrastructure in a Systems Administrator, Infrastructure Administrator, Network Administrator, or similar role. Strong experience administering Windows Server environments, Active Directory, Group Policy, DNS, and DHCP. Experience supporting Microsoft 365 environments, including Exchange Online, Teams, and Entra ID. Experience supporting virtualization platforms such as VMware or Hyper-V. Experience administering and troubleshooting enterprise network infrastructure, including switches, VLANs, firewalls, VPNs, and wireless technologies. Experience supporting enterprise backup solutions, such as Veeam, and disaster recovery. Familiarity with endpoint management, software deployment, and security tools. Strong troubleshooting and problem-solving skills with the ability to independently diagnose and resolve complex technical issues. Ability to effectively communicate technical information and collaborate with both technical and non-technical teams. Preferred Qualifications Experience with cybersecurity frameworks or compliance requirements such as NIST 800-171 or CMMC. Experience with Microsoft Intune, Endpoint Central, or similar endpoint management platforms. PowerShell scripting or automation experience. Experience supporting ERP systems, SQL Server environments, or other business-critical applications. Industry certifications such as Network+, Security+, Microsoft, VMware, or Cisco certifications are a plus! Additional Requirements: Pursuant to ITAR, EAR, and other export compliance laws and regulations, applicants for this position must be U.S. Persons as defined by U.S. law, i.e., U.S. citizens, lawful permanent residents ("Green Card" holders), persons granted refugee status or asylum status in the United States, or temporary residents granted amnesty. Compensation & Benefits: Competitive compensation package linked to your experience and performance. 401(k) with company match and Tuition Reimbursement opportunities. Health, dental, vision, HSA, & life insurance. Paid time off including vacation, sick time, and 11 paid company holidays Work Requirements & Physical Demands: This is an on-site, hands-on IT role supporting both corporate office and manufacturing operations. The Systems Administrator will work in a collaborative environment where technology directly supports critical business and production processes. The role requires regular interaction with computer systems, servers, network equipment, and end-user technology across the organization. Occasional movement throughout the facility may be required to support infrastructure, troubleshoot equipment, and assist with technology deployments. Physical requirements may include: Ability to sit, stand, and work at a computer for extended periods. Ability to walk throughout office and manufacturing areas. Ability to lift, carry, and install IT equipment such as computers, monitors, networking equipment, and related hardware (typically up to 50 lbs.). Ability to work in both office and manufacturing environments while following applicable safety requirements. Occasional after-hours support may be required for scheduled maintenance, upgrades, or critical infrastructure issues. Disclaimer: This job description reflects management's assignment of essential functions; it does not prescribe or restrict the tasks that may be assigned. The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed. Rochester Precision Optics is committed to leveraging the talent of a diverse workforce to create great opportunities for our business and our people. EOE/AA/Race/Gender/Disability/Veteran In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States, and to complete This is a full-time, on-site position based at our West Henrietta, NY facility. The standard work schedule is Monday through Friday, 7:00 AM to 3:30 PM. Participation in an occasional rotating on-call schedule is required to provide after-hours support for critical infrastructure issues, planned maintenance, and emergency response as needed. Compensation details: 0 Yearly Salary PIbc2cfe6-
GXM is seeking a full-time Enterprise Architect to support enterprise architecture development, digital engineering initiatives, and strategic mission integration activities supporting advanced operational Command and Control (C2) environments. The ideal candidate will possess deep expertise in Enterprise Architecture, operational mission systems, Digital Engineering, and Model-Based Systems Engineering (MBSE) with the ability to architect scalable operational solutions across cloud infrastructure, mission applications, operational data environments, cyber security domains and distributed mission systems. This role serves as the strategic architecture authority responsible for defining the target state operational architecture, integrations standards, interoperability frameworks, and long-term scalability model supporting integrated multi-domain mission operations. This individual will support modernization initiatives involving integrated C2 architectures, cloud-native mission systems, operational data fusion environments, AI/ML-enabled analytics platforms, and Joint Force operational integration constructs across defense environments. This role is onsite in Colorado Springs, CO. Hybrid flexibility may be available over time based on mission requirements, program execution needs and achievement of objectives. Responsibilities Serve as the strategic architecture authority for integrated multi-domain C2 mission environment. Develop and maintain enterprise and operational system architectures supporting integrated operational and mission environments. Define and maintain the overall C2 architecture baseline, including operational concepts, integration standards, interface strategies, interoperability frameworks, and long-term scalability models. Apply Model-Based Systems Engineering (MBSE) methodologies to support system architecture development, requirements traceability, integration planning, digital engineering and lifecycle engineering activities. Develop and maintain engineering artifacts, system models, interface definitions, and architecture products, operational workflows, and reference architectures supporting integrated mission operations. Utilize MBSE tools and enterprise architecture frameworks to support digital engineering and operational mission architecture activities. Develop integrated engineering execution plans and schedules using Cameo Systems Modeler or similar enterprise planning tools. Architect scalable cloud, hybrid-cloud, and distributed system environments supporting operational mission needs. Define enterprise integration standards supporting APIs, middleware, event-driven architectures, operational data exchange frameworks, and mission interoperability requirements. Contribute to technical solution development involving AI/ML-enabled operation analytics, DevSecOps pipelines, cybersecurity architectures, software engineering, and operational data fusion capabilities. Develop integrated engineering execution roadmaps, transition architectures, modernization strategies, and scalability frameworks supporting follow-on operational deployment. Collaborate with engineering teams, leadership, and government stakeholders to refine operational mission architectures. U.S. Citizen and Active TS/SCI clearance required. Bachelor's degree in systems engineering, Computer Science, Engineering, Information Systems, or related technical field. 8+ years of experience supporting enterprise architecture, operational mission systems, systems engineering, or strategic modernization initiatives within defense or intelligence environments. Strong understanding of Enterprise Architecture, Digital Engineering, and Model-Based Systems Engineering (MBSE) principles. Experience defining architecture governance standards, integration frameworks, interface strategies, and target-state operational architecture. Experience developing enterprise/system architectures, engineering artifacts, integration strategies, and operational workflows. Experience using Cameo Systems Modeler or other Digital Engineering toolsets to develop operational architecture products, integrated engineering execution models, system interaction diagrams, mission workflows, interface definitions, and requirements traceability artifacts supporting complex mission and operational environments. Understanding of cloud architectures, DevSecOps, cybersecurity, AI/ML, system integration, and enterprise modernization approaches. Strong communication, collaboration, and technical writing skills. Proven ability to communicate complex technical architectures to Government leadership, operational stakeholders, and engineering teams. Desired Qualifications Experience supporting defense, space, or multi-domain operational environments. Experience supporting DoD, federal mission systems, enterprise modernization, or operational C2 environments. Experience with MBSE tools such as Cameo Systems Modeler or other Digital Engineering tools. Expert with DoDAF, UAF, SysML, BPMN, and related enterprise architecture, operational architecture, MBSE frameworks supporting DoD mission engineering and digital engineering initiatives. Experience with enterprise cloud platforms, cloud-native and hybrid-cloud environments, container orchestration technologies, and distributed mission infrastructure supporting secure operational workloads. Knowledge of RMF, DISA STIGs, and Zero Trust cybersecurity frameworks. Experience supporting proposals, capture, or strategic modernization efforts for federal or defense programs. $150,000-$235,000 salary + annual bonus eligibility + medical/dental/vision/STD/LTD/Life + 401(k) + PTO Equal Employment Opportunity / Legal Disclaimer GXM Technologies LLC is an Equal Opportunity Employer and participates in E-Verify to confirm employment eligibility. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity, national origin, age, disability, genetic information, veteran status, or any other legally protected status. GXM Technologies LLC provides reasonable accommodations in accordance with applicable law. This job description is not intended to be a complete list of duties and responsibilities, which may change at any time with or without notice. Employment is at-will where permitted by law , meaning either the employee or the Company may terminate employment at any time, with or without cause or notice, subject to applicable legal requirements. PIddb25-6194
08/06/2026
Full time
GXM is seeking a full-time Enterprise Architect to support enterprise architecture development, digital engineering initiatives, and strategic mission integration activities supporting advanced operational Command and Control (C2) environments. The ideal candidate will possess deep expertise in Enterprise Architecture, operational mission systems, Digital Engineering, and Model-Based Systems Engineering (MBSE) with the ability to architect scalable operational solutions across cloud infrastructure, mission applications, operational data environments, cyber security domains and distributed mission systems. This role serves as the strategic architecture authority responsible for defining the target state operational architecture, integrations standards, interoperability frameworks, and long-term scalability model supporting integrated multi-domain mission operations. This individual will support modernization initiatives involving integrated C2 architectures, cloud-native mission systems, operational data fusion environments, AI/ML-enabled analytics platforms, and Joint Force operational integration constructs across defense environments. This role is onsite in Colorado Springs, CO. Hybrid flexibility may be available over time based on mission requirements, program execution needs and achievement of objectives. Responsibilities Serve as the strategic architecture authority for integrated multi-domain C2 mission environment. Develop and maintain enterprise and operational system architectures supporting integrated operational and mission environments. Define and maintain the overall C2 architecture baseline, including operational concepts, integration standards, interface strategies, interoperability frameworks, and long-term scalability models. Apply Model-Based Systems Engineering (MBSE) methodologies to support system architecture development, requirements traceability, integration planning, digital engineering and lifecycle engineering activities. Develop and maintain engineering artifacts, system models, interface definitions, and architecture products, operational workflows, and reference architectures supporting integrated mission operations. Utilize MBSE tools and enterprise architecture frameworks to support digital engineering and operational mission architecture activities. Develop integrated engineering execution plans and schedules using Cameo Systems Modeler or similar enterprise planning tools. Architect scalable cloud, hybrid-cloud, and distributed system environments supporting operational mission needs. Define enterprise integration standards supporting APIs, middleware, event-driven architectures, operational data exchange frameworks, and mission interoperability requirements. Contribute to technical solution development involving AI/ML-enabled operation analytics, DevSecOps pipelines, cybersecurity architectures, software engineering, and operational data fusion capabilities. Develop integrated engineering execution roadmaps, transition architectures, modernization strategies, and scalability frameworks supporting follow-on operational deployment. Collaborate with engineering teams, leadership, and government stakeholders to refine operational mission architectures. U.S. Citizen and Active TS/SCI clearance required. Bachelor's degree in systems engineering, Computer Science, Engineering, Information Systems, or related technical field. 8+ years of experience supporting enterprise architecture, operational mission systems, systems engineering, or strategic modernization initiatives within defense or intelligence environments. Strong understanding of Enterprise Architecture, Digital Engineering, and Model-Based Systems Engineering (MBSE) principles. Experience defining architecture governance standards, integration frameworks, interface strategies, and target-state operational architecture. Experience developing enterprise/system architectures, engineering artifacts, integration strategies, and operational workflows. Experience using Cameo Systems Modeler or other Digital Engineering toolsets to develop operational architecture products, integrated engineering execution models, system interaction diagrams, mission workflows, interface definitions, and requirements traceability artifacts supporting complex mission and operational environments. Understanding of cloud architectures, DevSecOps, cybersecurity, AI/ML, system integration, and enterprise modernization approaches. Strong communication, collaboration, and technical writing skills. Proven ability to communicate complex technical architectures to Government leadership, operational stakeholders, and engineering teams. Desired Qualifications Experience supporting defense, space, or multi-domain operational environments. Experience supporting DoD, federal mission systems, enterprise modernization, or operational C2 environments. Experience with MBSE tools such as Cameo Systems Modeler or other Digital Engineering tools. Expert with DoDAF, UAF, SysML, BPMN, and related enterprise architecture, operational architecture, MBSE frameworks supporting DoD mission engineering and digital engineering initiatives. Experience with enterprise cloud platforms, cloud-native and hybrid-cloud environments, container orchestration technologies, and distributed mission infrastructure supporting secure operational workloads. Knowledge of RMF, DISA STIGs, and Zero Trust cybersecurity frameworks. Experience supporting proposals, capture, or strategic modernization efforts for federal or defense programs. $150,000-$235,000 salary + annual bonus eligibility + medical/dental/vision/STD/LTD/Life + 401(k) + PTO Equal Employment Opportunity / Legal Disclaimer GXM Technologies LLC is an Equal Opportunity Employer and participates in E-Verify to confirm employment eligibility. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity, national origin, age, disability, genetic information, veteran status, or any other legally protected status. GXM Technologies LLC provides reasonable accommodations in accordance with applicable law. This job description is not intended to be a complete list of duties and responsibilities, which may change at any time with or without notice. Employment is at-will where permitted by law , meaning either the employee or the Company may terminate employment at any time, with or without cause or notice, subject to applicable legal requirements. PIddb25-6194
Description: Transform the Way We Work Are you the type of developer who enjoys solving real business problems, not just writing code? We are looking for a practical, product-minded Business Systems Developer to help us leverage technology, automation, data, and artificial intelligence to improve how our business operates and how our customers experience working with us. This is not a traditional software development role. You will work directly with teams across the organization to understand workflows, identify opportunities for improvement, and build useful software tools that make our company faster, smarter, and easier to do business with. This is a high-impact opportunity for someone who wants to help shape the future of a growing organization through thoughtful application of modern technology. What You'll Do Partner with leaders and employees across departments to understand how work gets done and identify opportunities for improvement. Attack specific business process improvement opportunities identified by senior leadership. Analyze existing workflows and recommend technology-driven solutions that increase efficiency, accuracy, and scalability. Build internal applications, dashboards, integrations, and workflow automations that reduce manual effort and improve visibility. Improve the flow of data between systems and help establish more reliable business processes. Develop customer-facing and customer-supporting tools that enhance speed, communication, and overall customer experience. Utilize software and AI solutions to support customer communications, document processing, knowledge management, reporting, task routing, and decision support. Evaluate emerging technologies and AI tools with a focus on practical application, measurable business value, reliability, and responsible use. Collaborate with technical and non-technical colleagues to ensure solutions meet business needs and drive adoption. Continuously seek opportunities to modernize and improve the organization's technology capabilities. What We're Looking For Experience building software solutions used by internal teams and/or customers. Strong ability to understand business processes and translate operational challenges into practical software solutions. Experience developing web applications, integrations, APIs, databases, and cloud-based solutions. Experience with automation platforms and modern development tools. Familiarity with artificial intelligence technologies and their practical business applications. Excellent communication skills with the ability to work effectively across all levels of the organization. A problem-solving mindset and a bias toward delivering useful, maintainable solutions. Ability to balance technical excellence with business priorities and real-world constraints. Preferred Qualifications Bachelor's degree in Computer Science, Software Engineering, Information Systems, or related field, or equivalent practical experience. Experience developing and supporting cloud-based applications, platforms, and services. Experience with APIs, SQL databases, system integrations, and business applications. Experience implementing automation, workflow, or AI-powered solutions. Experience working in manufacturing, operations, engineering, or project-based environments is a plus. Why This Role Matters This position will play a key role in helping us modernize how we operate. The solutions you develop will directly impact employee productivity, operational efficiency, data quality, decision-making, and customer experience. If you're excited about solving meaningful business challenges with technology and want to see the direct impact of your work, we'd love to hear from you. Get a glimpse of life at Takeform: Find your future with us. Affirmative Action/Equal Opportunity Employer Requirements: Compensation details: 00 Yearly Salary PIac965ea5edc3-0343
08/06/2026
Full time
Description: Transform the Way We Work Are you the type of developer who enjoys solving real business problems, not just writing code? We are looking for a practical, product-minded Business Systems Developer to help us leverage technology, automation, data, and artificial intelligence to improve how our business operates and how our customers experience working with us. This is not a traditional software development role. You will work directly with teams across the organization to understand workflows, identify opportunities for improvement, and build useful software tools that make our company faster, smarter, and easier to do business with. This is a high-impact opportunity for someone who wants to help shape the future of a growing organization through thoughtful application of modern technology. What You'll Do Partner with leaders and employees across departments to understand how work gets done and identify opportunities for improvement. Attack specific business process improvement opportunities identified by senior leadership. Analyze existing workflows and recommend technology-driven solutions that increase efficiency, accuracy, and scalability. Build internal applications, dashboards, integrations, and workflow automations that reduce manual effort and improve visibility. Improve the flow of data between systems and help establish more reliable business processes. Develop customer-facing and customer-supporting tools that enhance speed, communication, and overall customer experience. Utilize software and AI solutions to support customer communications, document processing, knowledge management, reporting, task routing, and decision support. Evaluate emerging technologies and AI tools with a focus on practical application, measurable business value, reliability, and responsible use. Collaborate with technical and non-technical colleagues to ensure solutions meet business needs and drive adoption. Continuously seek opportunities to modernize and improve the organization's technology capabilities. What We're Looking For Experience building software solutions used by internal teams and/or customers. Strong ability to understand business processes and translate operational challenges into practical software solutions. Experience developing web applications, integrations, APIs, databases, and cloud-based solutions. Experience with automation platforms and modern development tools. Familiarity with artificial intelligence technologies and their practical business applications. Excellent communication skills with the ability to work effectively across all levels of the organization. A problem-solving mindset and a bias toward delivering useful, maintainable solutions. Ability to balance technical excellence with business priorities and real-world constraints. Preferred Qualifications Bachelor's degree in Computer Science, Software Engineering, Information Systems, or related field, or equivalent practical experience. Experience developing and supporting cloud-based applications, platforms, and services. Experience with APIs, SQL databases, system integrations, and business applications. Experience implementing automation, workflow, or AI-powered solutions. Experience working in manufacturing, operations, engineering, or project-based environments is a plus. Why This Role Matters This position will play a key role in helping us modernize how we operate. The solutions you develop will directly impact employee productivity, operational efficiency, data quality, decision-making, and customer experience. If you're excited about solving meaningful business challenges with technology and want to see the direct impact of your work, we'd love to hear from you. Get a glimpse of life at Takeform: Find your future with us. Affirmative Action/Equal Opportunity Employer Requirements: Compensation details: 00 Yearly Salary PIac965ea5edc3-0343
Description: GXM is seeking a Digital Engineer to join our team to support advanced defense and space-related mission programs focused on Command and Control (C2), mission systems integration, cloud modernization, and enterprise capability delivery. The selected candidate will support development and maintenance of digital engineering artifacts that enable system visualization, architecture analysis, requirements management, and technical baseline governance across complex mission environments. The Digital Engineer will leverage Model-Based Systems Engineering (MBSE) tools and methodologies to develop digital representations of mission systems, interfaces, data flows, and operational architectures. This role requires close collaboration with architects, systems engineers, software developers, cybersecurity personnel, and mission stakeholders to ensure technical decisions, system dependencies, and requirements are accurately represented and traceable throughout the system lifecycle. This role is onsite in Colorado Springs, CO. Hybrid flexibility may be available over time based on mission requirements, program execution needs, and achievement of objectives. Responsibilities Develop and maintain Model-Based Systems Engineering (MBSE) models supporting mission systems, enterprise capabilities, and operational architectures. Create and manage digital architecture models representing system relationships, interfaces, data flows, and operational dependencies. Develop system dependency visualizations to support architecture analysis, integration planning, and technical decision-making. Support requirements engineering activities, including requirements decomposition, allocation, validation, and management. Establish and maintain traceability between requirements, architecture products, system components, interfaces, and mission capabilities. Support development and management of technical baselines across hardware, software, data, infrastructure, and operational environments. Collaborate with systems engineers, architects, and technical teams to ensure digital engineering artifacts accurately reflect system implementations and architectural decisions. Support architecture reviews, technical assessments, model governance activities, and engineering working groups. Maintain engineering documentation, model repositories, and digital artifacts supporting program execution and modernization efforts. Requirements: U.S. Citizen with active TS/SCI clearance. Bachelor's degree in Engineering, Systems Engineering, Computer Science, Information Systems, or related technical discipline. 5+ years of experience supporting systems engineering, digital engineering, MBSE, or architecture development activities. Experience utilizing MBSE tools such as Cameo, MagicDraw, Sparx Enterprise Architect, or similar modeling platforms. Experience developing architecture models, engineering artifacts, requirements relationships, and technical documentation. Familiarity with systems engineering principles, architecture frameworks, and digital engineering methodologies. Experience supporting requirements management, traceability, and technical baseline development. Strong analytical, problem-solving, communication, and stakeholder engagement skills. Experience working within Agile, DevSecOps, or modern engineering environments. Desired Qualifications Experience supporting defense, space, intelligence, or multi-domain operational environments. Familiarity with DoD Digital Engineering Strategy, MBSE methodologies, or SysML-based modeling approaches. Experience supporting Command and Control (C2) systems, mission systems, or enterprise modernization initiatives. OCSMP, INCOSE ASEP/CSEP, Cameo certification, or equivalent digital engineering certification preferred. $90k-$155k salary + annual bonus eligibility + medical/dental/vision/STD/LTD/Life + 401(k) + PTO Equal Employment Opportunity / Legal Disclaimer GXM Technologies LLC is an Equal Opportunity Employer and participates in E-Verify to confirm employment eligibility. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity, national origin, age, disability, genetic information, veteran status, or any other legally protected status. GXM Technologies LLC provides reasonable accommodations in accordance with applicable law. This job description is not intended to be a complete list of duties and responsibilities, which may change at any time with or without notice. Employment is at-will where permitted by law , meaning either the employee or the Company may terminate employment at any time, with or without cause or notice, subject to applicable legal requirements. PI042e00cb6-
08/06/2026
Full time
Description: GXM is seeking a Digital Engineer to join our team to support advanced defense and space-related mission programs focused on Command and Control (C2), mission systems integration, cloud modernization, and enterprise capability delivery. The selected candidate will support development and maintenance of digital engineering artifacts that enable system visualization, architecture analysis, requirements management, and technical baseline governance across complex mission environments. The Digital Engineer will leverage Model-Based Systems Engineering (MBSE) tools and methodologies to develop digital representations of mission systems, interfaces, data flows, and operational architectures. This role requires close collaboration with architects, systems engineers, software developers, cybersecurity personnel, and mission stakeholders to ensure technical decisions, system dependencies, and requirements are accurately represented and traceable throughout the system lifecycle. This role is onsite in Colorado Springs, CO. Hybrid flexibility may be available over time based on mission requirements, program execution needs, and achievement of objectives. Responsibilities Develop and maintain Model-Based Systems Engineering (MBSE) models supporting mission systems, enterprise capabilities, and operational architectures. Create and manage digital architecture models representing system relationships, interfaces, data flows, and operational dependencies. Develop system dependency visualizations to support architecture analysis, integration planning, and technical decision-making. Support requirements engineering activities, including requirements decomposition, allocation, validation, and management. Establish and maintain traceability between requirements, architecture products, system components, interfaces, and mission capabilities. Support development and management of technical baselines across hardware, software, data, infrastructure, and operational environments. Collaborate with systems engineers, architects, and technical teams to ensure digital engineering artifacts accurately reflect system implementations and architectural decisions. Support architecture reviews, technical assessments, model governance activities, and engineering working groups. Maintain engineering documentation, model repositories, and digital artifacts supporting program execution and modernization efforts. Requirements: U.S. Citizen with active TS/SCI clearance. Bachelor's degree in Engineering, Systems Engineering, Computer Science, Information Systems, or related technical discipline. 5+ years of experience supporting systems engineering, digital engineering, MBSE, or architecture development activities. Experience utilizing MBSE tools such as Cameo, MagicDraw, Sparx Enterprise Architect, or similar modeling platforms. Experience developing architecture models, engineering artifacts, requirements relationships, and technical documentation. Familiarity with systems engineering principles, architecture frameworks, and digital engineering methodologies. Experience supporting requirements management, traceability, and technical baseline development. Strong analytical, problem-solving, communication, and stakeholder engagement skills. Experience working within Agile, DevSecOps, or modern engineering environments. Desired Qualifications Experience supporting defense, space, intelligence, or multi-domain operational environments. Familiarity with DoD Digital Engineering Strategy, MBSE methodologies, or SysML-based modeling approaches. Experience supporting Command and Control (C2) systems, mission systems, or enterprise modernization initiatives. OCSMP, INCOSE ASEP/CSEP, Cameo certification, or equivalent digital engineering certification preferred. $90k-$155k salary + annual bonus eligibility + medical/dental/vision/STD/LTD/Life + 401(k) + PTO Equal Employment Opportunity / Legal Disclaimer GXM Technologies LLC is an Equal Opportunity Employer and participates in E-Verify to confirm employment eligibility. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity, national origin, age, disability, genetic information, veteran status, or any other legally protected status. GXM Technologies LLC provides reasonable accommodations in accordance with applicable law. This job description is not intended to be a complete list of duties and responsibilities, which may change at any time with or without notice. Employment is at-will where permitted by law , meaning either the employee or the Company may terminate employment at any time, with or without cause or notice, subject to applicable legal requirements. PI042e00cb6-
Description: We are seeking a motivated Applications Engineer to support our Skidded Solutions (liquid-filled medium voltage transformers, switchgear cabinets, inverters) in the solar and energy storage industries. The Applications Engineer will be responsible for interfacing with Customers (current and potential) in an effort to achieve revenue growth and customer acquisition objectives set forth by the Company. The Applications Engineer will review customer specifications, assist in determining and understanding client equipment needs, generate quotes, and engage in follow up conversations with the customer regarding open opportunities. The ideal candidate will possess strong technical expertise in mechanical design and practical integration, focusing on the design, optimization, and mechanical integration of structural skids with transformers and switchgear. The candidate will collaborate with cross-functional teams to develop solutions that meet customer requirements, industry standards, and regulatory compliance. This role involves working closely with sales, product management, design engineering, and customers to ensure optimal performance, reliability, and cost-effectiveness. Key Responsibilities : Technical Expertise: • Serve as a technical resource on the mechanical integration and optimization of skidded liquid-filled medium voltage transformers, switchgear cabinets and inverters for solar and energy storage applications. • Provide technical guidance on product selection, specifications, and customization to meet customer requirements. • Analyze technical problems and recommend solutions. Customer Support: • Work directly with customers to understand their needs, address inquiries, and recommend appropriate integrated design solutions. • Prepare and deliver technical presentations and proposals, including customer-facing quotes in support of the sales process. • Support sales with technical training and customer visits. Application Engineering: • Interpret customer specifications and industry standards to create accurate design requirements. • Collaborate with design engineering and manufacturing teams to ensure products are readily manufacturable and meet performance, reliability, and cost targets. • Develop and maintain technical documentation, including drawings, manuals, and data sheets. • Identify value engineering opportunities within integrated designs to optimize cost and capability in support of customer needs Project Support: • Assist in managing multiple projects, ensuring timely delivery of proposals, designs, and support. • Coordinate with supply chain and production teams to address lead times and resource planning. Industry and Standards Compliance: • Stay current with industry standards, codes, and regulations such as IEEE, IEC, UL and ASCE. • Ensure products and applications comply with environmental and safety regulations. Qualifications : • Bachelor's degree in Mechanical Engineering or a related field. • Minimum of 2-5 years of professional experience in application or mechanical design engineering, preferably with mechanical integration of electrical equipment • Experience in the solar or energy storage industries is a plus. • Solid knowledge of mechanical design principles and design for manufacturability • Familiarity with mechanical systems and pre-configured/skidded electromechanical assemblies • Proficiency in Mechanical design software and tools - SolidWorks and/or AutoCAD; FEA modeling a plus Electrical, Control systems and/or data acquisition & field monitoring proficiency a plus Soft Skills: • Strong communication and presentation skills. • Excellent problem-solving abilities and attention to detail. • Ability to work collaboratively in a cross-functional team environment. Certifications: • Professional Engineer (PE) license is a plus. Disclaimer: The statements above are intended to describe the general nature and level of work being performed. They are not an exhaustive list of all responsibilities, duties, or skills required. Forgent Power reserves the right to modify, interpret, or apply this job description as needed. Equal Employment Opportunity Statement: Forgent Power is an equal opportunity employer. We are committed to creating an inclusive environment for all employees. Employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, or any other protected class. Requirements: PIc5d3b-9955
08/06/2026
Full time
Description: We are seeking a motivated Applications Engineer to support our Skidded Solutions (liquid-filled medium voltage transformers, switchgear cabinets, inverters) in the solar and energy storage industries. The Applications Engineer will be responsible for interfacing with Customers (current and potential) in an effort to achieve revenue growth and customer acquisition objectives set forth by the Company. The Applications Engineer will review customer specifications, assist in determining and understanding client equipment needs, generate quotes, and engage in follow up conversations with the customer regarding open opportunities. The ideal candidate will possess strong technical expertise in mechanical design and practical integration, focusing on the design, optimization, and mechanical integration of structural skids with transformers and switchgear. The candidate will collaborate with cross-functional teams to develop solutions that meet customer requirements, industry standards, and regulatory compliance. This role involves working closely with sales, product management, design engineering, and customers to ensure optimal performance, reliability, and cost-effectiveness. Key Responsibilities : Technical Expertise: • Serve as a technical resource on the mechanical integration and optimization of skidded liquid-filled medium voltage transformers, switchgear cabinets and inverters for solar and energy storage applications. • Provide technical guidance on product selection, specifications, and customization to meet customer requirements. • Analyze technical problems and recommend solutions. Customer Support: • Work directly with customers to understand their needs, address inquiries, and recommend appropriate integrated design solutions. • Prepare and deliver technical presentations and proposals, including customer-facing quotes in support of the sales process. • Support sales with technical training and customer visits. Application Engineering: • Interpret customer specifications and industry standards to create accurate design requirements. • Collaborate with design engineering and manufacturing teams to ensure products are readily manufacturable and meet performance, reliability, and cost targets. • Develop and maintain technical documentation, including drawings, manuals, and data sheets. • Identify value engineering opportunities within integrated designs to optimize cost and capability in support of customer needs Project Support: • Assist in managing multiple projects, ensuring timely delivery of proposals, designs, and support. • Coordinate with supply chain and production teams to address lead times and resource planning. Industry and Standards Compliance: • Stay current with industry standards, codes, and regulations such as IEEE, IEC, UL and ASCE. • Ensure products and applications comply with environmental and safety regulations. Qualifications : • Bachelor's degree in Mechanical Engineering or a related field. • Minimum of 2-5 years of professional experience in application or mechanical design engineering, preferably with mechanical integration of electrical equipment • Experience in the solar or energy storage industries is a plus. • Solid knowledge of mechanical design principles and design for manufacturability • Familiarity with mechanical systems and pre-configured/skidded electromechanical assemblies • Proficiency in Mechanical design software and tools - SolidWorks and/or AutoCAD; FEA modeling a plus Electrical, Control systems and/or data acquisition & field monitoring proficiency a plus Soft Skills: • Strong communication and presentation skills. • Excellent problem-solving abilities and attention to detail. • Ability to work collaboratively in a cross-functional team environment. Certifications: • Professional Engineer (PE) license is a plus. Disclaimer: The statements above are intended to describe the general nature and level of work being performed. They are not an exhaustive list of all responsibilities, duties, or skills required. Forgent Power reserves the right to modify, interpret, or apply this job description as needed. Equal Employment Opportunity Statement: Forgent Power is an equal opportunity employer. We are committed to creating an inclusive environment for all employees. Employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, or any other protected class. Requirements: PIc5d3b-9955
Description: Air Treatment Corporation is a dynamic, collaborative work environment. We understand the expectations of high-quality customer service, therefore we actively search and promote a cohesive team that is formulated to exceed expectations. We are devoted to the growth of our employees and look to provide opportunities for advancement from within, while providing a robust benefit package to our team members. Title: AI SOLUTIONS ENGINEER (LEAD) Salary: Exempt Reports to: Matt Lowe, IT Manager Location: Brea, CA (On-Site) Estimated Pay Range: $120,000.00 - $145,000.00 Job Summary: Air Treatment Corporation (ATC) is looking for an experienced, hands-on AI Solutions Engineer to own how artificial intelligence gets adopted across our business. You will set the AI roadmap with leadership, design and deploy production-grade automation and AI tooling integrated with our core systems and build the internal capability of our team. This is a high-autonomy role for a proven builder: you will be the company's AI subject-matter expert, and your judgment will shape where we invest and what we ship. You do not need HVAC industry experience on day one - you need a track record of taking AI and automation solutions from idea to reliable, adopted, production use in a real business. Duties/Responsibilities: 1.AI Strategy & Roadmap •Partner with leadership and department heads to map workflows and identify high-value AI and automation opportunities across operations, sales, and field service •Build and maintain a prioritized AI roadmap based on business impact, feasibility, ROI, and team readiness •Evaluate vendors, platforms, and build-vs-buy tradeoffs; manage related budgets and subscriptions •Present recommendations, results, and ROI to leadership in clear business terms 2. Design, Build & Operate AI Solutions •Architect and deploy production AI solutions: automation workflows, AI agents, chatbots, and data pipelines •Integrate AI tooling with ATC's existing systems (CRM, ERP, email, scheduling, field service management) via APIs and middleware •Ensure compliance with security, ethical standards and data privacy regulations in all AI applications. •Stay updated on the latest trends and advancements in AI technologies and methodologies to ensure adoption and direct relevance over time. 3. Build Organizational Capability •Develop the training program and run hands-on enablement sessions for ATC staff at all levels. •Champion a culture of experimentation and continuous improvement with AI. •Serve as the company-wide subject-matter expert for AI strategy, tools, and governance. •Mentor and coach colleagues, including potential future junior technical hires. Requirements: Education and Experience: •Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field, or equivalent practical experience. •4+ years of professional experience in software development, automation engineering, data engineering, or AI/ML implementation. •Demonstrated track record of designing, deploying, and maintaining AI or automation solutions in production business environments; candidates should be prepared to discuss specific deployed solutions and their measurable impact. •Strong proficiency in Python and SQL, with experience working with APIs, webhooks, and system integrations. •Hands-on experience with modern AI platforms and frameworks (e.g., OpenAI, Anthropic/Claude, Microsoft Copilot, LangChain, or similar) and workflow automation tools (e.g., Zapier, Make, Power Automate). •Experience integrating business systems such as CRM, ERP, or field service management platforms is highly desirable. •Knowledge of data governance, security best practices and responsible AI principles. •Experience supporting organizations with distribution, manufacturing, construction, industrial services, or similar operational environments is preferred. •Demonstrated ability to operate independently, define solutions for complex or ambiguous business challenges, establish priorities, and deliver results for senior leadership. •Experience leading technology adoption, process improvement, or change management initiatives with small to mid-sized organizations is a plus. •Excellent communication skills, with the ability to translate technical concepts into practical business solutions for executives, managers, and non-technical stakeholders. Physical Requirements: •Ability to remain in a stationary position for extended periods while working at a computer. •Frequent use of hands and fingers to operate a computer keyboard, mouse, and other office equipment. •Capability to communicate effectively in person and via digital platforms. •Occasional need to move or transport items weighing up to 25 pounds, such as computers and relevant office supplies. •Adequate visual acuity to read and interpret data on screens and printed materials. •Ability to travel to other sites for support or presentations. •Capacity to adapt to a dynamic work environment, including multitasking and managing stress effectively. At Air Treatment Corporation, we are committed to growth, innovation, and excellence. As leading experts in HVAC & R solutions, we recognize that the success of our team drives the success of our company. This is echoed in our commitment to a workplace built on fairness, professionalism, and opportunity, ensuring that every team member is valued. Join our team and contribute your unique skills and perspectives to help us continue delivering industry-leading solutions. Compensation details: 00 Yearly Salary PIe3db0d7544b0-0085
08/06/2026
Full time
Description: Air Treatment Corporation is a dynamic, collaborative work environment. We understand the expectations of high-quality customer service, therefore we actively search and promote a cohesive team that is formulated to exceed expectations. We are devoted to the growth of our employees and look to provide opportunities for advancement from within, while providing a robust benefit package to our team members. Title: AI SOLUTIONS ENGINEER (LEAD) Salary: Exempt Reports to: Matt Lowe, IT Manager Location: Brea, CA (On-Site) Estimated Pay Range: $120,000.00 - $145,000.00 Job Summary: Air Treatment Corporation (ATC) is looking for an experienced, hands-on AI Solutions Engineer to own how artificial intelligence gets adopted across our business. You will set the AI roadmap with leadership, design and deploy production-grade automation and AI tooling integrated with our core systems and build the internal capability of our team. This is a high-autonomy role for a proven builder: you will be the company's AI subject-matter expert, and your judgment will shape where we invest and what we ship. You do not need HVAC industry experience on day one - you need a track record of taking AI and automation solutions from idea to reliable, adopted, production use in a real business. Duties/Responsibilities: 1.AI Strategy & Roadmap •Partner with leadership and department heads to map workflows and identify high-value AI and automation opportunities across operations, sales, and field service •Build and maintain a prioritized AI roadmap based on business impact, feasibility, ROI, and team readiness •Evaluate vendors, platforms, and build-vs-buy tradeoffs; manage related budgets and subscriptions •Present recommendations, results, and ROI to leadership in clear business terms 2. Design, Build & Operate AI Solutions •Architect and deploy production AI solutions: automation workflows, AI agents, chatbots, and data pipelines •Integrate AI tooling with ATC's existing systems (CRM, ERP, email, scheduling, field service management) via APIs and middleware •Ensure compliance with security, ethical standards and data privacy regulations in all AI applications. •Stay updated on the latest trends and advancements in AI technologies and methodologies to ensure adoption and direct relevance over time. 3. Build Organizational Capability •Develop the training program and run hands-on enablement sessions for ATC staff at all levels. •Champion a culture of experimentation and continuous improvement with AI. •Serve as the company-wide subject-matter expert for AI strategy, tools, and governance. •Mentor and coach colleagues, including potential future junior technical hires. Requirements: Education and Experience: •Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field, or equivalent practical experience. •4+ years of professional experience in software development, automation engineering, data engineering, or AI/ML implementation. •Demonstrated track record of designing, deploying, and maintaining AI or automation solutions in production business environments; candidates should be prepared to discuss specific deployed solutions and their measurable impact. •Strong proficiency in Python and SQL, with experience working with APIs, webhooks, and system integrations. •Hands-on experience with modern AI platforms and frameworks (e.g., OpenAI, Anthropic/Claude, Microsoft Copilot, LangChain, or similar) and workflow automation tools (e.g., Zapier, Make, Power Automate). •Experience integrating business systems such as CRM, ERP, or field service management platforms is highly desirable. •Knowledge of data governance, security best practices and responsible AI principles. •Experience supporting organizations with distribution, manufacturing, construction, industrial services, or similar operational environments is preferred. •Demonstrated ability to operate independently, define solutions for complex or ambiguous business challenges, establish priorities, and deliver results for senior leadership. •Experience leading technology adoption, process improvement, or change management initiatives with small to mid-sized organizations is a plus. •Excellent communication skills, with the ability to translate technical concepts into practical business solutions for executives, managers, and non-technical stakeholders. Physical Requirements: •Ability to remain in a stationary position for extended periods while working at a computer. •Frequent use of hands and fingers to operate a computer keyboard, mouse, and other office equipment. •Capability to communicate effectively in person and via digital platforms. •Occasional need to move or transport items weighing up to 25 pounds, such as computers and relevant office supplies. •Adequate visual acuity to read and interpret data on screens and printed materials. •Ability to travel to other sites for support or presentations. •Capacity to adapt to a dynamic work environment, including multitasking and managing stress effectively. At Air Treatment Corporation, we are committed to growth, innovation, and excellence. As leading experts in HVAC & R solutions, we recognize that the success of our team drives the success of our company. This is echoed in our commitment to a workplace built on fairness, professionalism, and opportunity, ensuring that every team member is valued. Join our team and contribute your unique skills and perspectives to help us continue delivering industry-leading solutions. Compensation details: 00 Yearly Salary PIe3db0d7544b0-0085
Disney Entertainment and ESPN Product & Technology
Seattle, Washington
Disney Entertainment and ESPN Product & Technology Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Media Engineering builds the software and systems that prepare media content and metadata for the Disney Streaming platform - providing the best possible playback experience to our viewers. Media Engineering handles audio, video, and metadata content from ingest through publish - for normalization, processing, and packaging - supporting operator tools and automation for a scalable workflow. We build logic across players and back-end services to measure, control, and optimize playback across our stack. Our team is seeking a Senior Software Engineer to help us deliver excellent streaming experiences for Hulu, Disney+ and ESPN+ as a developer of our web-based JavaScript player. Our team is responsible for playback across many devices including browsers, televisions, gaming consoles, and set-top boxes. You will have the opportunity to lead in the design and implementation of our cross-platform JavaScript player that runs Disney+, Hulu and ESPN on these devices. We're looking for an experienced engineer who has video player and cross platform development experience. Excellent fluency in JavaScript and web development is required. You should have a passion for coding and debugging hard problems, and an eagerness to help us deliver seamless video to our subscribers. Being a Senior engineer, you will get to own large features, lead the technical direction of our work, and mentor and provide technical expertise to other engineers. You will work closely with other technical teams in the application layer and backend video services to deliver features. Responsibilities Develop and maintain our JavaScript player that drives our streaming experience Optimize our player to perform well for resource constrained platforms Create and review architecture and technical designs Maintain a strong understanding of our code to identify, research and address issues Collaborate with application development teams, services engineering teams and product management to help understand and explain device limitations and requirements Lead in strategies to ensure the quality and stability of our deployments, including testing strategies and telemetry approaches Develop our project's build system and continuous integration system as needed Provide technical expertise or mentoring to developers on our team Drive high development standards Basic Qualifications 5+ years of full software development lifecycle experience Highly fluent in JavaScript and web technologies Experience developing for web browsers & other web-based client devices Experience in Streaming technologies, such as: HLS (preferred) or DASH DRM technologies like PlayReady or Widevine Adaptive Bitrate Streaming Algorithms Caption and subtitle formats such as CEA-608 / 708 Codecs AVC, HEVC, AAC, EAC3 Experience developing and optimizing high-performance client-side media applications Experience using build runners / compilation tools for multi-platform projects Strong individual contributor with a drive to learn and patience to teach others Great communication and collaboration skills and a strong teamwork ethic Experience using AI-assisted development tools effectively BS or BA in Computer Science, Engineering, or related field or equivalent experience Preferred Qualifications Experience developing for living room devices, e.g. Samsung, LG, Hisense, Vizio. Experience developing for gaming consoles (e.g. Playstation, Switch), Android devices (e.g.FireTV), or similar devices The hiring range for this position in Seattle, WA is $148,700 to $199,400 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
08/06/2026
Full time
Disney Entertainment and ESPN Product & Technology Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Media Engineering builds the software and systems that prepare media content and metadata for the Disney Streaming platform - providing the best possible playback experience to our viewers. Media Engineering handles audio, video, and metadata content from ingest through publish - for normalization, processing, and packaging - supporting operator tools and automation for a scalable workflow. We build logic across players and back-end services to measure, control, and optimize playback across our stack. Our team is seeking a Senior Software Engineer to help us deliver excellent streaming experiences for Hulu, Disney+ and ESPN+ as a developer of our web-based JavaScript player. Our team is responsible for playback across many devices including browsers, televisions, gaming consoles, and set-top boxes. You will have the opportunity to lead in the design and implementation of our cross-platform JavaScript player that runs Disney+, Hulu and ESPN on these devices. We're looking for an experienced engineer who has video player and cross platform development experience. Excellent fluency in JavaScript and web development is required. You should have a passion for coding and debugging hard problems, and an eagerness to help us deliver seamless video to our subscribers. Being a Senior engineer, you will get to own large features, lead the technical direction of our work, and mentor and provide technical expertise to other engineers. You will work closely with other technical teams in the application layer and backend video services to deliver features. Responsibilities Develop and maintain our JavaScript player that drives our streaming experience Optimize our player to perform well for resource constrained platforms Create and review architecture and technical designs Maintain a strong understanding of our code to identify, research and address issues Collaborate with application development teams, services engineering teams and product management to help understand and explain device limitations and requirements Lead in strategies to ensure the quality and stability of our deployments, including testing strategies and telemetry approaches Develop our project's build system and continuous integration system as needed Provide technical expertise or mentoring to developers on our team Drive high development standards Basic Qualifications 5+ years of full software development lifecycle experience Highly fluent in JavaScript and web technologies Experience developing for web browsers & other web-based client devices Experience in Streaming technologies, such as: HLS (preferred) or DASH DRM technologies like PlayReady or Widevine Adaptive Bitrate Streaming Algorithms Caption and subtitle formats such as CEA-608 / 708 Codecs AVC, HEVC, AAC, EAC3 Experience developing and optimizing high-performance client-side media applications Experience using build runners / compilation tools for multi-platform projects Strong individual contributor with a drive to learn and patience to teach others Great communication and collaboration skills and a strong teamwork ethic Experience using AI-assisted development tools effectively BS or BA in Computer Science, Engineering, or related field or equivalent experience Preferred Qualifications Experience developing for living room devices, e.g. Samsung, LG, Hisense, Vizio. Experience developing for gaming consoles (e.g. Playstation, Switch), Android devices (e.g.FireTV), or similar devices The hiring range for this position in Seattle, WA is $148,700 to $199,400 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
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. TheBoeing Company is seeking AssociateSystems Engineers to join one of our St. Louis, MO (Berkeley, Hazelwood, Saint Charles) based teams. Our St. Louis based teams are responsible for development, production, trainers, and sustainment for some of the most advanced defense and weapon systems in the world - including, but not limited to: Fighters/Tactical (F-47, F-15, F/A-18, F-22, & T-7A), Autonomous Systems (MQ-25), Precision Engagement Systems (JDAM, SDB, etc), and other advanced proprietary systems (Phantom Works) and platforms (AH-64, P-8, C-17, etc.). Our teams are currently hiring a broad range of Associate Systems Engineers in the following disciplines: Systems Architecture, Requirements and Interfaces Definition Systems Integration, Verification, & Validation Reliability, Maintainability, & System Health Human Factors & Ergonomics Operations / Systems Analysis Flight Crew Operations Integrations Crew Station Design & Integration Position Responsibilities: Contribute to systems engineering efforts on new development, production, and/or sustainment programs, ensuring alignment with program goals and objectives Work with teams across disciplines to write and keep system requirements, interfaces, verification, and test criteria up to date Perform analyses for affordability, safety, reliability, maintainability, testability, human factors, survivability, vulnerability, security, and product assurance Support program design reviews and technical assessments Track and update requirements, risks/issues/opportunities, tools, and technology readiness Help adopt and use modern systems engineering methods (for example, Model-Based Systems Engineering) This position is expected to be 100% onsite (no hybrid or remote options). The selected candidate will be required to work onsite at one of the listed location options. Travel may be required; Domestically and/or Internationally depending on business needs. 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 Special Program Access or other Government Access Requirements may be required for these positions Basic Qualifications (Required Skills/Experience): Bachelor of Science degree in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement 2 or more years' related engineering experience Preferred Qualifications (Desired Skills/Experience): Active U.S. Security Clearance Prior Systems Engineering experience (i.e. system design, functional decomposition, requirements development, analysis, verification, and validation) Experience with Aircraft, Mission Systems and/or Weapon System development Experience with verification and/or certification efforts (including supporting military safety critical and/or mission critical system hardware and software certification) Experience collaborating with multi-discipline teams to support technical program reviews Experience with Model Based Systems Engineering (MBSE) tools, such as Cameo, MSOSA or similar Systems Modeling Language (SysML)-compatible tool for systems architecture and model development Technical understanding and experience with any of the following: DOORS, Cadece/Pspice, Python, C#, C++, JavaScript, Visual Studio, Subversion, Azure DevOps, Git, CAFTA, ReliaSoft or FaultTree+ 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. 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. 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. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range: Level 2: $91,800 - $124,200 The 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. Applications for this position will be accepted until Aug. 17, 2026 Education Bachelor's Degree or Equivalent Required 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. 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.
08/06/2026
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. TheBoeing Company is seeking AssociateSystems Engineers to join one of our St. Louis, MO (Berkeley, Hazelwood, Saint Charles) based teams. Our St. Louis based teams are responsible for development, production, trainers, and sustainment for some of the most advanced defense and weapon systems in the world - including, but not limited to: Fighters/Tactical (F-47, F-15, F/A-18, F-22, & T-7A), Autonomous Systems (MQ-25), Precision Engagement Systems (JDAM, SDB, etc), and other advanced proprietary systems (Phantom Works) and platforms (AH-64, P-8, C-17, etc.). Our teams are currently hiring a broad range of Associate Systems Engineers in the following disciplines: Systems Architecture, Requirements and Interfaces Definition Systems Integration, Verification, & Validation Reliability, Maintainability, & System Health Human Factors & Ergonomics Operations / Systems Analysis Flight Crew Operations Integrations Crew Station Design & Integration Position Responsibilities: Contribute to systems engineering efforts on new development, production, and/or sustainment programs, ensuring alignment with program goals and objectives Work with teams across disciplines to write and keep system requirements, interfaces, verification, and test criteria up to date Perform analyses for affordability, safety, reliability, maintainability, testability, human factors, survivability, vulnerability, security, and product assurance Support program design reviews and technical assessments Track and update requirements, risks/issues/opportunities, tools, and technology readiness Help adopt and use modern systems engineering methods (for example, Model-Based Systems Engineering) This position is expected to be 100% onsite (no hybrid or remote options). The selected candidate will be required to work onsite at one of the listed location options. Travel may be required; Domestically and/or Internationally depending on business needs. 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 Special Program Access or other Government Access Requirements may be required for these positions Basic Qualifications (Required Skills/Experience): Bachelor of Science degree in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement 2 or more years' related engineering experience Preferred Qualifications (Desired Skills/Experience): Active U.S. Security Clearance Prior Systems Engineering experience (i.e. system design, functional decomposition, requirements development, analysis, verification, and validation) Experience with Aircraft, Mission Systems and/or Weapon System development Experience with verification and/or certification efforts (including supporting military safety critical and/or mission critical system hardware and software certification) Experience collaborating with multi-discipline teams to support technical program reviews Experience with Model Based Systems Engineering (MBSE) tools, such as Cameo, MSOSA or similar Systems Modeling Language (SysML)-compatible tool for systems architecture and model development Technical understanding and experience with any of the following: DOORS, Cadece/Pspice, Python, C#, C++, JavaScript, Visual Studio, Subversion, Azure DevOps, Git, CAFTA, ReliaSoft or FaultTree+ 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. 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. 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. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range: Level 2: $91,800 - $124,200 The 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. Applications for this position will be accepted until Aug. 17, 2026 Education Bachelor's Degree or Equivalent Required 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. 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.
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. A leading global aerospace company and top U.S. exporter, Boeing develops, manufactures and services commercial airplanes, defense products and space systems for customers in more than 150 countries. Our U.S. and global workforce and supplier base drive innovation, economic opportunity, sustainability and community impact. Boeing is committed to fostering a culture based on our core values of safety, quality and integrity. Boeing is focused on providing and exploring opportunities to enhance the Systems Engineering workforce within Government Training Engineering, work locations to include Hazelwood, MO or Berkeley, MO. This includes, but is not limited to, Government Training products within our Air Dominance (AD), Mobility, Surveillance and Bombers (MS&B) and Vertical Lift portfolios. Example products within the portfolios include: Fighters (F-15 & F/A-18), T-7A Trainers, MQ-25, F-47, P-8, Apache and others. Our teams are currently hiring for a broad range of experienced Systems Engineering disciplines including Experienced and Lead Level Analysts. Position Responsibilities: Actively leads or supports hardware/software integration activities Coordinate efforts between multiple engineering disciplines (e.g., software, hardware, requirements, testing, etc.) Develop software load images for installation onto training devices Network system integration Technical troubleshooting of network systems including PCs, switches, and routers Designing and troubleshooting Operating System (Windows, Redhat, Server, other) configurations Operating System administration and domain integration Collaborate on approaches to implement cybersecurity compliance Perform issue resolution, root cause analysis, and implementation of corrective actions for hardware and/or software Define Requirements and Verification for networking infrastructure Writing cold start procedures for network systems, to include PC Basic Input/Output System (BIOS) definition and Setup settings Support formal testing events Buildup, integration and test of training devices for final delivery at customer's site This position is expected to be 100% onsite. The selected candidate will be required to work on-site at one of the listed location options 10% Travel may be required; Domestically and/or Internationally depending on business needs This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active). Special Program Access or other Government Access Requirements are mandatory for this position. Basic Qualifications (Required Skills/Experience): 3+ years of experience with network systems architecture 3+ years of experience with information system security Experience with Operating System configuration Experience with one (or more) of the following: Hardware/Software Integration, File Servers, Computational Systems, Networking Systems, Operating Systems (Windows and/or Linux) and Scripting Preferred Qualifications (Desired Skills/Experience): Level 4: 5 or more years of higher education and/or related work experience (Higher education includes college, university, technical school, licensing/certification programs, etc.) 3+ years of System Integration Experience: Operating System Installation Basic Input/Output System (BIOS) definition and Setup Network Switch Configuration and Domain Setup Product Security and/or Cybersecurity compliance experience Understanding of Network Security standards Experience implementing Product Security measures CompTIA Security+ certification Familiarity with Agile workflow management tools & processes such as Jira and Confluence 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. 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. 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. The 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. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range Experienced (Level 3): $99,450- $134,550 Summary Pay Range Lead (Level 4): $122,400- $165,600 Potential signing bonus for eligible/qualified external candidates Applications for this position will be accepted until Aug. 10, 2026 Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) 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.
08/06/2026
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. A leading global aerospace company and top U.S. exporter, Boeing develops, manufactures and services commercial airplanes, defense products and space systems for customers in more than 150 countries. Our U.S. and global workforce and supplier base drive innovation, economic opportunity, sustainability and community impact. Boeing is committed to fostering a culture based on our core values of safety, quality and integrity. Boeing is focused on providing and exploring opportunities to enhance the Systems Engineering workforce within Government Training Engineering, work locations to include Hazelwood, MO or Berkeley, MO. This includes, but is not limited to, Government Training products within our Air Dominance (AD), Mobility, Surveillance and Bombers (MS&B) and Vertical Lift portfolios. Example products within the portfolios include: Fighters (F-15 & F/A-18), T-7A Trainers, MQ-25, F-47, P-8, Apache and others. Our teams are currently hiring for a broad range of experienced Systems Engineering disciplines including Experienced and Lead Level Analysts. Position Responsibilities: Actively leads or supports hardware/software integration activities Coordinate efforts between multiple engineering disciplines (e.g., software, hardware, requirements, testing, etc.) Develop software load images for installation onto training devices Network system integration Technical troubleshooting of network systems including PCs, switches, and routers Designing and troubleshooting Operating System (Windows, Redhat, Server, other) configurations Operating System administration and domain integration Collaborate on approaches to implement cybersecurity compliance Perform issue resolution, root cause analysis, and implementation of corrective actions for hardware and/or software Define Requirements and Verification for networking infrastructure Writing cold start procedures for network systems, to include PC Basic Input/Output System (BIOS) definition and Setup settings Support formal testing events Buildup, integration and test of training devices for final delivery at customer's site This position is expected to be 100% onsite. The selected candidate will be required to work on-site at one of the listed location options 10% Travel may be required; Domestically and/or Internationally depending on business needs This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active). Special Program Access or other Government Access Requirements are mandatory for this position. Basic Qualifications (Required Skills/Experience): 3+ years of experience with network systems architecture 3+ years of experience with information system security Experience with Operating System configuration Experience with one (or more) of the following: Hardware/Software Integration, File Servers, Computational Systems, Networking Systems, Operating Systems (Windows and/or Linux) and Scripting Preferred Qualifications (Desired Skills/Experience): Level 4: 5 or more years of higher education and/or related work experience (Higher education includes college, university, technical school, licensing/certification programs, etc.) 3+ years of System Integration Experience: Operating System Installation Basic Input/Output System (BIOS) definition and Setup Network Switch Configuration and Domain Setup Product Security and/or Cybersecurity compliance experience Understanding of Network Security standards Experience implementing Product Security measures CompTIA Security+ certification Familiarity with Agile workflow management tools & processes such as Jira and Confluence 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. 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. 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. The 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. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range Experienced (Level 3): $99,450- $134,550 Summary Pay Range Lead (Level 4): $122,400- $165,600 Potential signing bonus for eligible/qualified external candidates Applications for this position will be accepted until Aug. 10, 2026 Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) 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.
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. The Boeing Company is looking for an Experienced Systems Engineer - Product Owner to join our Government Vehicle Health Management Systems (GVHMS) team in Hazelwood, MO. This role will primarily support a Proprietary program as well as other platforms in the GVHMS portfolio as required. This team develops, fields and supports aircraft support systems for the F/A-18, E/A-18, F-15, T7 and MQ-25 aircraft platforms. The system acquires and manages aircraft health and usage data, performs health and usage assessment, updates aircraft configuration and recommends maintenance actions. The team is looking for a highly motivated systems engineer to develop requirements, perform integration activities, manage project budget, and take on the role of Product Owner (PO) on various projects. This role requires interaction with internal and external stakeholders to ensure software products are developed that interact successfully to support customer needs. The ability to maintain and develop plans/schedules and to monitor and report schedule performance is required. Good oral and written communications are essential to success in this position. This role will work closely with the software development team, the software test team, other product owners, and the Chief Engineer on the team. This position will also require occasional domestic and international travel as required to ensure successful implementation of the system at customer sites. Position Responsibilities: Develop and maintain product roadmaps and system lifecycle plans Develop, document, and verify requirements Develop project schedules and track performance Develop and organize work items for the software team Be responsible for the integration of the components of the GVHMS system to successfully meet customer requirements Coordinate with the customer on a regular basis Document team plans and status, develop meeting agendas and presentations Analyze process compliance and actively work on improvements This position is expected to be 100% onsite. The selected candidate will be required to work onsite at one of the listed location options. Basic Qualifications (Required Skills/Experience): Bachelors Degree Ability to Obtain U.S. Secret- Interim Pre-Start & Final Post Start 5+ years of experience have in systems engineering (requirements definition, allocation, verification, architecture design and trade design) 3+ years of experience building stakeholder and customer relationships 3+ years of experience leading or managing projects and/or teams Preferred Qualifications (Desired Skills/Experience): Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science and 5+ years of related work experience OR Bachelor's Degree and 9+ years of directly related work experience OR 13+ years of related, relevant experience Experience of Agile Development Excellent communication skills and ability to lead by influence Experience with Model Based Systems Engineering (MBSE) Experience with Earned Value Management (EVM) Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. Drug Free Workplace: Boeing is a Drug Free Workplace (DFW) 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. Pay & Benefits: 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. 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. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Potential signing bonus for eligible/qualified external candidates. Summary Pay Range for Experienced (Level 3): $112,200 - $151,800 Applications for this position will be accepted until Aug. 21, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required 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 U.S. Secret Clearance Pre-Start and final U.S. Secret Clearance Post-Start is required. 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.
08/06/2026
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. The Boeing Company is looking for an Experienced Systems Engineer - Product Owner to join our Government Vehicle Health Management Systems (GVHMS) team in Hazelwood, MO. This role will primarily support a Proprietary program as well as other platforms in the GVHMS portfolio as required. This team develops, fields and supports aircraft support systems for the F/A-18, E/A-18, F-15, T7 and MQ-25 aircraft platforms. The system acquires and manages aircraft health and usage data, performs health and usage assessment, updates aircraft configuration and recommends maintenance actions. The team is looking for a highly motivated systems engineer to develop requirements, perform integration activities, manage project budget, and take on the role of Product Owner (PO) on various projects. This role requires interaction with internal and external stakeholders to ensure software products are developed that interact successfully to support customer needs. The ability to maintain and develop plans/schedules and to monitor and report schedule performance is required. Good oral and written communications are essential to success in this position. This role will work closely with the software development team, the software test team, other product owners, and the Chief Engineer on the team. This position will also require occasional domestic and international travel as required to ensure successful implementation of the system at customer sites. Position Responsibilities: Develop and maintain product roadmaps and system lifecycle plans Develop, document, and verify requirements Develop project schedules and track performance Develop and organize work items for the software team Be responsible for the integration of the components of the GVHMS system to successfully meet customer requirements Coordinate with the customer on a regular basis Document team plans and status, develop meeting agendas and presentations Analyze process compliance and actively work on improvements This position is expected to be 100% onsite. The selected candidate will be required to work onsite at one of the listed location options. Basic Qualifications (Required Skills/Experience): Bachelors Degree Ability to Obtain U.S. Secret- Interim Pre-Start & Final Post Start 5+ years of experience have in systems engineering (requirements definition, allocation, verification, architecture design and trade design) 3+ years of experience building stakeholder and customer relationships 3+ years of experience leading or managing projects and/or teams Preferred Qualifications (Desired Skills/Experience): Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science and 5+ years of related work experience OR Bachelor's Degree and 9+ years of directly related work experience OR 13+ years of related, relevant experience Experience of Agile Development Excellent communication skills and ability to lead by influence Experience with Model Based Systems Engineering (MBSE) Experience with Earned Value Management (EVM) Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. Drug Free Workplace: Boeing is a Drug Free Workplace (DFW) 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. Pay & Benefits: 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. 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. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Potential signing bonus for eligible/qualified external candidates. Summary Pay Range for Experienced (Level 3): $112,200 - $151,800 Applications for this position will be accepted until Aug. 21, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required 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 U.S. Secret Clearance Pre-Start and final U.S. Secret Clearance Post-Start is required. 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.
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
08/06/2026
Full time
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
08/06/2026
Full time
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
08/06/2026
Full time
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
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. A leading global aerospace company and top U.S. exporter, Boeing develops, manufactures and services commercial airplanes, defense products and space systems for customers in more than 150 countries. Our U.S. and global workforce and supplier base drive innovation, economic opportunity, sustainability and community impact. Boeing is committed to fostering a culture based on our core values of safety, quality and integrity. Boeing is focused on providing and exploring opportunities to enhance the Systems Engineering workforce within Government Training Engineering, work locations to include Hazelwood, MO or Berkeley, MO. This includes, but is not limited to, Government Training products within our Air Dominance (AD), Mobility, Surveillance and Bombers (MS&B) and Vertical Lift portfolios. Example products within the portfolios include: Fighters (F-15 & F/A-18), T-7A Trainers, MQ-25, F-47, P-8, Apache and others. Our teams are currently hiring for a broad range of experienced Systems Engineering disciplines including Experienced and Lead Levels. Position Responsibilities: Actively leads or supports hardware/software integration activities Coordinate efforts between multiple engineering disciplines (e.g., software, hardware, mission assurance, etc.) Develop System Integration Plans and Integration Procedures Develop software load images for installation onto training devices Integrate multiple systems/subsystems making up a complete training device Examples of systems/subsystems include computational, networking, visual, communication and power systems Troubleshoot issues regarding the training devices Support formal testing events Buildup, integration and test of training devices for final delivery at customer's site This position is expected to be 100% onsite. The selected candidate will be required to work onsite at one of the listed location options. 10% Travel may be required; Domestically and/or Internationally depending on business needs. This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active). Special Program Access or other Government Access Requirements are mandatory for this position. Basic Qualifications (Required Skills/Experience): Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science Experience in Systems Engineering including but not limited to system integration Experience with one (or more) of the following: Hardware/Software Integration, File Servers, Computational Systems, Networking Systems, Visual Systems, Operating Systems (Windows and/or Linux) and Scripting Preferred Qualifications (Desired Skills/Experience): Level 4: 5 or more years of higher education and/or related work experience (Higher education includes college, university, technical school, licensing/certification programs, etc.) Leadership experience to include but not limited to engineering leadership roles and/or leading work and driving teams to success System Integration Experience: Operating System Installation Basic Input/Output System (BIOS) definition and Setup Network Switch Configuration and Domain Setup Product Security and/or Cybersecurity compliance experience 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. 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. 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. The 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. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range Experienced (Level 3): $112,200- $151,800 Summary Pay Range Lead (Level 4): $136,850- $185,150 Potential signing bonus for eligible/qualified external candidates Applications for this position will be accepted until Aug. 10, 2026 Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) 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.
08/06/2026
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. A leading global aerospace company and top U.S. exporter, Boeing develops, manufactures and services commercial airplanes, defense products and space systems for customers in more than 150 countries. Our U.S. and global workforce and supplier base drive innovation, economic opportunity, sustainability and community impact. Boeing is committed to fostering a culture based on our core values of safety, quality and integrity. Boeing is focused on providing and exploring opportunities to enhance the Systems Engineering workforce within Government Training Engineering, work locations to include Hazelwood, MO or Berkeley, MO. This includes, but is not limited to, Government Training products within our Air Dominance (AD), Mobility, Surveillance and Bombers (MS&B) and Vertical Lift portfolios. Example products within the portfolios include: Fighters (F-15 & F/A-18), T-7A Trainers, MQ-25, F-47, P-8, Apache and others. Our teams are currently hiring for a broad range of experienced Systems Engineering disciplines including Experienced and Lead Levels. Position Responsibilities: Actively leads or supports hardware/software integration activities Coordinate efforts between multiple engineering disciplines (e.g., software, hardware, mission assurance, etc.) Develop System Integration Plans and Integration Procedures Develop software load images for installation onto training devices Integrate multiple systems/subsystems making up a complete training device Examples of systems/subsystems include computational, networking, visual, communication and power systems Troubleshoot issues regarding the training devices Support formal testing events Buildup, integration and test of training devices for final delivery at customer's site This position is expected to be 100% onsite. The selected candidate will be required to work onsite at one of the listed location options. 10% Travel may be required; Domestically and/or Internationally depending on business needs. This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active). Special Program Access or other Government Access Requirements are mandatory for this position. Basic Qualifications (Required Skills/Experience): Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science Experience in Systems Engineering including but not limited to system integration Experience with one (or more) of the following: Hardware/Software Integration, File Servers, Computational Systems, Networking Systems, Visual Systems, Operating Systems (Windows and/or Linux) and Scripting Preferred Qualifications (Desired Skills/Experience): Level 4: 5 or more years of higher education and/or related work experience (Higher education includes college, university, technical school, licensing/certification programs, etc.) Leadership experience to include but not limited to engineering leadership roles and/or leading work and driving teams to success System Integration Experience: Operating System Installation Basic Input/Output System (BIOS) definition and Setup Network Switch Configuration and Domain Setup Product Security and/or Cybersecurity compliance experience 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. 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. 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. The 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. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range Experienced (Level 3): $112,200- $151,800 Summary Pay Range Lead (Level 4): $136,850- $185,150 Potential signing bonus for eligible/qualified external candidates Applications for this position will be accepted until Aug. 10, 2026 Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) 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.
Lead Machine Learning Engineer (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. Team: The Marketing and Messaging team is responsible for delivering hyper-personalized messages and experiences that will delight the customer, attract prospects and drive increasing business value. The team builds scalable platforms that deliver omnichannel messages in owned and paid Adtech channels. What you'll do in the role: 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. 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 At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 2+ years of experience developing performant, resilient, and maintainable code 2+ years of experience with data gathering and preparation for ML models 2+ years of people leader experience 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). 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. New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer 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).
08/06/2026
Full time
Lead Machine Learning Engineer (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. Team: The Marketing and Messaging team is responsible for delivering hyper-personalized messages and experiences that will delight the customer, attract prospects and drive increasing business value. The team builds scalable platforms that deliver omnichannel messages in owned and paid Adtech channels. What you'll do in the role: 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. 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 At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 2+ years of experience developing performant, resilient, and maintainable code 2+ years of experience with data gathering and preparation for ML models 2+ years of people leader experience 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). 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. New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer 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).
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
08/06/2026
Full time
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
08/06/2026
Full time
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
08/06/2026
Full time
AI Platform Engineer AI Platform Engineering Full-Time Hybrid Onsite (3 days/week) The Opportunity MassMutual's AI Platform Engineering team is looking for a curious, motivated AI Platform Engineer to launch their engineering career on a high-performing team. This is an entry-level role built for recent graduates and early-career engineers. You will learn directly from experienced platform engineers, contribute to real initiatives from your first weeks, and steadily build the skills to help design, deploy, and operate the systems that power AI across the enterprise. We care less about everything you already know and more about how quickly you learn, how you approach problems, and how much you care about doing good engineering work. The Team This is a unique opportunity to join the team that builds and operates the AI platform powering MassMutual's AI initiatives. The team works at the intersection of cloud infrastructure, AI/ML systems, and developer experience-delivering the foundational capabilities that shape how the entire organization builds and deploys AI. We partner closely with AI engineering, product, and cloud engineering teams across the enterprise, and we invest in growth through a culture of peer learning, candid feedback, mentorship, and shared technical standards. It is a team where early-career engineers are set up to succeed: hard problems are made tractable through clear documentation, thoughtful onboarding, and engineers who genuinely enjoy teaching. The Impact Contribute to platform components-cloud infrastructure, AI serving layers, and developer tooling-under the guidance of senior engineers, growing your understanding of how the pieces fit together. Support the design and implementation of platform features such as the LLM gateway, model serving infrastructure, and integration patterns-writing code, tests, and documentation with regular feedback from your team. Learn the team's engineering standards by participating in design reviews and code reviews, and by pairing with more experienced engineers on real problems. Take ownership of well-scoped tasks within larger initiatives, delivering them to production with support and steadily taking on more scope over time. Help keep the platform healthy by learning reliability practices-monitoring, alerting, SLOs, and incident reviews-and pitching in on operational work. Build familiarity with governance and compliance concepts such as access management, audit logging, and AI usage policies, and why they matter to enterprise customers. Communicate clearly and ask good questions-sharing what you learn, flagging blockers early, and collaborating with teammates and partner teams. Invest in your own growth through mentorship, pairing, and continuous learning, with the goal of ramping toward greater technical independence. The Minimum Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related technical field Foundational understanding of cloud computing and exposure to at least one major cloud provider (AWS, GCP, or Azure) through coursework, labs, or projects as shown by coursework or certification. 2+ years experience in programming proficiency in at least one language such as Python, Go, Java, or a comparable language (this could include coursework, internship experience, bootcamp, etc). The Ideal Qualifications Professional experience preferred: Internships, co-ops, apprenticeships, academic projects, and substantial personal projects all count. Basic familiarity with version control (Git) and a willingness to learn CI/CD, containers (Docker/Kubernetes), and infrastructure-as-code. Curiosity about AI/ML systems and an interest in how models are deployed and served in production. Strong written and verbal communication and a genuine eagerness to learn from feedback. Hands-on exposure to Kubernetes, Docker, or Terraform through coursework, certifications, hackathons, or personal projects. Relevant entry-level certifications are a plus but not required-for example AWS Certified Cloud Practitioner, AWS Solutions Architect - Associate, or CKAD. Any hands-on experience with AI/ML frameworks or LLM APIs, even at a hobby or class-project level. A public portfolio or open-source contributions (e.g., GitHub) that show initiative and a habit of building. Experience collaborating on a team project such as a capstone, hackathon, or group assignment. Comfort with ambiguity and enthusiasm for learning quickly in a fast-moving space. What to Expect as Part of MassMutual and the Team Structured onboarding and a dedicated mentor to support your ramp-up and early growth Regular meetings with the AI Platform Engineering team Focused one-on-one meetings with your manager Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran, and disability-focused Business Resource Groups Access to learning content on Degreed and other informational platforms A company with a strong and stable ethical business, industry-leading pay and benefits, where your ethics and integrity will be valued MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our California Consumer Privacy Act Disclosures page.
Mid-Continent Instruments and Avionics
Wichita, Kansas
COME JOIN MID-CONTINENT! "Where your work is valued-above-market pay, real work-life balance, and a team that feels like home." THE POSITION As a Software Certification Engineer , you will provide engineering and technical support in the evaluation and testing of existing and emerging technologies, systems, and capabilities. You will plan and implement the RTCA DO-178C and DO-254 lifecycle processes for avionics, power electronics, and battery systems. You'll verify complex microcontroller and FPGA designs to achieve coverage of functional and structural aspects. Product areas include cockpit displays and instruments, local and remote sensing, data conversion and storage, lithium battery management, AC/DC and DC/DC power conversion up to 8000W, in-seat power solutions, and various other components needed in aircraft systems. To be successful in this role, you'll need to provide expert analysis to meet the highest level of safety and reliability, implementing safety-critical software design processes. THIS POSITION MAY BE FOR YOU IF You have a bachelor's degree in computer engineering or related field You have a minimum of one year of experience with RTCA DO-178C or similar safety-critical software design process. You are proficient in C programming. You have the ability to work directly with target hardware, including lab bench equipment and other tools for debugging and analysis. You are proficient with Microsoft Office. You have strong attention to detail. You are organized, focused and results oriented. You are a problem-solver with critical thinking and prioritizing skills. You have excellent verbal, written and interpersonal communication skills. WE WOULD REALLY LIKE IT IF (but it's not a deal breaker) You have experience with C#, or Python languages for a PC application software. You have familiarity with VHDL and RTCA DO-254. You have familiarity with formal coding standards and safety-critical design considerations. WHAT YOU CAN EXPECT FROM ONE DAY TO THE NEXT Create and review design data within the software qualification lifecycle process. Practice safety-critical methods, create plans, requirements, design standards, coding standards, change tracking and verification, formal and functional verification Test and troubleshoot prototype and certified code on target hardware. Includes working in a lab bench environment with the necessary test equipment Design embedded software for microcontroller-based systems, as well as PC-based applications for verification and manufacturing Support software design using current tools, design environments and documentation methods Prototype and execute test programs to verify compliance with applicable performance, regulatory, and quality requirements WE ARE ONE OF THE BEST PLACES TO WORK We provide competitive pay and a comprehensive benefits package. We promote an environment where you can excel in your career while maintaining a healthy work-life balance. Our facility is climate controlled, clean, organized, and safe. We operate in a professional, light manufacturing environment. We believe anything worth doing is worth doing right - every time. We have frequent events to keep work interesting. Our food drive is super impressive, we enjoy an annual food truck fest appreciation day, monthly fruit/donut day, employee luncheons throughout the year, wellness challenges with incentives, and frequent ticket raffles for local sporting and cultural events. We have a small company feel - even though we're doing big things! WHO WE ARE Founded in 1964, Mid-Continent Instruments and Avionics provides superior instruments, avionics and power solutions to the global aerospace community. We operate one of the largest maintenance, overhaul and exchange programs in the world, and deliver safe and certified products, using innovative technologies and sophisticated clean sheet designs. At Mid-Continent Instruments and Avionics, we are committed to quality, service, integrity, and professionalism. Our employees serve the best customers from all over the world in general, business and commercial, advanced air mobility, defense and special missions markets. In this role, you'll be an important part of the reason our customers consider us a premier instrument, avionics, and aircraft power solutions provider. This job description is intended to describe the general nature and level of work performed and is not intended to be an exhaustive list of all responsibilities, duties and skills required. Actual compensation offered within the targeted salary range will be determined by factors such as job-related knowledge, skills, and experience. Compensation details: 00 Yearly Salary PIbe82722db9dd-2601
08/06/2026
Full time
COME JOIN MID-CONTINENT! "Where your work is valued-above-market pay, real work-life balance, and a team that feels like home." THE POSITION As a Software Certification Engineer , you will provide engineering and technical support in the evaluation and testing of existing and emerging technologies, systems, and capabilities. You will plan and implement the RTCA DO-178C and DO-254 lifecycle processes for avionics, power electronics, and battery systems. You'll verify complex microcontroller and FPGA designs to achieve coverage of functional and structural aspects. Product areas include cockpit displays and instruments, local and remote sensing, data conversion and storage, lithium battery management, AC/DC and DC/DC power conversion up to 8000W, in-seat power solutions, and various other components needed in aircraft systems. To be successful in this role, you'll need to provide expert analysis to meet the highest level of safety and reliability, implementing safety-critical software design processes. THIS POSITION MAY BE FOR YOU IF You have a bachelor's degree in computer engineering or related field You have a minimum of one year of experience with RTCA DO-178C or similar safety-critical software design process. You are proficient in C programming. You have the ability to work directly with target hardware, including lab bench equipment and other tools for debugging and analysis. You are proficient with Microsoft Office. You have strong attention to detail. You are organized, focused and results oriented. You are a problem-solver with critical thinking and prioritizing skills. You have excellent verbal, written and interpersonal communication skills. WE WOULD REALLY LIKE IT IF (but it's not a deal breaker) You have experience with C#, or Python languages for a PC application software. You have familiarity with VHDL and RTCA DO-254. You have familiarity with formal coding standards and safety-critical design considerations. WHAT YOU CAN EXPECT FROM ONE DAY TO THE NEXT Create and review design data within the software qualification lifecycle process. Practice safety-critical methods, create plans, requirements, design standards, coding standards, change tracking and verification, formal and functional verification Test and troubleshoot prototype and certified code on target hardware. Includes working in a lab bench environment with the necessary test equipment Design embedded software for microcontroller-based systems, as well as PC-based applications for verification and manufacturing Support software design using current tools, design environments and documentation methods Prototype and execute test programs to verify compliance with applicable performance, regulatory, and quality requirements WE ARE ONE OF THE BEST PLACES TO WORK We provide competitive pay and a comprehensive benefits package. We promote an environment where you can excel in your career while maintaining a healthy work-life balance. Our facility is climate controlled, clean, organized, and safe. We operate in a professional, light manufacturing environment. We believe anything worth doing is worth doing right - every time. We have frequent events to keep work interesting. Our food drive is super impressive, we enjoy an annual food truck fest appreciation day, monthly fruit/donut day, employee luncheons throughout the year, wellness challenges with incentives, and frequent ticket raffles for local sporting and cultural events. We have a small company feel - even though we're doing big things! WHO WE ARE Founded in 1964, Mid-Continent Instruments and Avionics provides superior instruments, avionics and power solutions to the global aerospace community. We operate one of the largest maintenance, overhaul and exchange programs in the world, and deliver safe and certified products, using innovative technologies and sophisticated clean sheet designs. At Mid-Continent Instruments and Avionics, we are committed to quality, service, integrity, and professionalism. Our employees serve the best customers from all over the world in general, business and commercial, advanced air mobility, defense and special missions markets. In this role, you'll be an important part of the reason our customers consider us a premier instrument, avionics, and aircraft power solutions provider. This job description is intended to describe the general nature and level of work performed and is not intended to be an exhaustive list of all responsibilities, duties and skills required. Actual compensation offered within the targeted salary range will be determined by factors such as job-related knowledge, skills, and experience. Compensation details: 00 Yearly Salary PIbe82722db9dd-2601
