Job Description Job Description Description We are seeking a Network Security Engineer to provide technical support in design and deployment of Network Transformation and Network Operations. In this role, you will assess and deploy the relevant technology solutions according to customers' business, security policy and application requirements and work directly with the Senior Network Engineer. Key Responsibilities Participate in daily network, firewall, and operational support. Ability to troubleshoot network issues and failures and follow best practices and troubleshooting methodology to quickly assess current situations, find solutions, and implement changes to correct and/or update network topologies to ensure stability and functionality. Provide technical analysis of operational issues and remediations during troubleshooting efforts to ensure documentations and procedures are followed and updated during active events. This includes the ability to report to management. Stay up to date on emerging technologies and products, including attaining certifications and participation in industry events as appropriate. Work with various stake holders to lead problem solving, evolve system roadmap and take critical decisions. Provide clear communication with regular updates/reports to the management team. Skills, Knowledge & Expertise Minimum of 5 years' experience in deployment and configuration and architectural design of networking technologies specific to routing, switching and general network security best practices, in which 3 years must be in customer-facing positions. Minimum of CCNA or comparable level of knowledge. Ability to work on call rotation as needed. B.S./B.A./M.S. degree or equivalent technical training. Fortinet NSE 6 and NSE 7 Knowledge of Azure and AWS Experience with Aruba ClearPass, Aruba switches and wireless Experience with Cisco Firepower Services and Palo Alto security services. Understanding of encryption and SSL/TLS technologies and best practices. Experience working for or with local government, service providers, and/or enterprises customers. Experience in large Data Center or Enterprise/campus designs, architecture, deployment and configuration with physical and virtual appliances. Familiarity with applications driving modern infrastructure design in private and public cloud. Experience in networking technologies such as STP, Nexus vPC, IPSEC / SSLVPN, Routing: VRF, MPLS, OSPF, BGP and Multi-Homed environments. Datacenter Network services including Security, Load Balancing, DNS, etc. at the virtual and physical level. Experience with Cisco, Juniper, Fortinet, HP, Aruba and CATO products (Firewall, Routing / switching, SASE, wireless and security) Wireless networking technologies including access-control platforms such as Cisco ISE or Aruba Clear Pass Policy Manager IPS/IDS, as well as other NGFW (Next Gen Firewall) features and capabilities. Ability to write incident and problem record documentation to support daily efforts. Strong analytical thinking and decision-making skills & highly organized. Strong ability to influence others and build consensus via excellent verbal and written communication skills. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. Reasonable accommodations will be made to enable employees with disabilities to perform the essential functions of the job. This job description is intended to describe the general nature of work being performed by employees in this job. It is not intended to be a complete list of all responsibilities, duties, and skills required. Agencies/3 Parties may not solicit to any employee of Blue Mantis. Any candidate information received from any Agency/3 Party will be considered a gift and property of Blue Mantis, unless the Agency/3 Party is an Authorized Vendor of Blue Mantis with an up-to-date Blue Mantis Contract in hand signed by Blue Mantis Talent Acquisition. No payment will be made to any Agency/3 Party who is not an Authorized Vendor, nor has specific approval in writing from Blue Mantis Talent Acquisition to engage in recruitment efforts for Blue Mantis. At this time, we have no interest in onboarding any new staffing partners.
11/03/2026
Full time
Job Description Job Description Description We are seeking a Network Security Engineer to provide technical support in design and deployment of Network Transformation and Network Operations. In this role, you will assess and deploy the relevant technology solutions according to customers' business, security policy and application requirements and work directly with the Senior Network Engineer. Key Responsibilities Participate in daily network, firewall, and operational support. Ability to troubleshoot network issues and failures and follow best practices and troubleshooting methodology to quickly assess current situations, find solutions, and implement changes to correct and/or update network topologies to ensure stability and functionality. Provide technical analysis of operational issues and remediations during troubleshooting efforts to ensure documentations and procedures are followed and updated during active events. This includes the ability to report to management. Stay up to date on emerging technologies and products, including attaining certifications and participation in industry events as appropriate. Work with various stake holders to lead problem solving, evolve system roadmap and take critical decisions. Provide clear communication with regular updates/reports to the management team. Skills, Knowledge & Expertise Minimum of 5 years' experience in deployment and configuration and architectural design of networking technologies specific to routing, switching and general network security best practices, in which 3 years must be in customer-facing positions. Minimum of CCNA or comparable level of knowledge. Ability to work on call rotation as needed. B.S./B.A./M.S. degree or equivalent technical training. Fortinet NSE 6 and NSE 7 Knowledge of Azure and AWS Experience with Aruba ClearPass, Aruba switches and wireless Experience with Cisco Firepower Services and Palo Alto security services. Understanding of encryption and SSL/TLS technologies and best practices. Experience working for or with local government, service providers, and/or enterprises customers. Experience in large Data Center or Enterprise/campus designs, architecture, deployment and configuration with physical and virtual appliances. Familiarity with applications driving modern infrastructure design in private and public cloud. Experience in networking technologies such as STP, Nexus vPC, IPSEC / SSLVPN, Routing: VRF, MPLS, OSPF, BGP and Multi-Homed environments. Datacenter Network services including Security, Load Balancing, DNS, etc. at the virtual and physical level. Experience with Cisco, Juniper, Fortinet, HP, Aruba and CATO products (Firewall, Routing / switching, SASE, wireless and security) Wireless networking technologies including access-control platforms such as Cisco ISE or Aruba Clear Pass Policy Manager IPS/IDS, as well as other NGFW (Next Gen Firewall) features and capabilities. Ability to write incident and problem record documentation to support daily efforts. Strong analytical thinking and decision-making skills & highly organized. Strong ability to influence others and build consensus via excellent verbal and written communication skills. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. Reasonable accommodations will be made to enable employees with disabilities to perform the essential functions of the job. This job description is intended to describe the general nature of work being performed by employees in this job. It is not intended to be a complete list of all responsibilities, duties, and skills required. Agencies/3 Parties may not solicit to any employee of Blue Mantis. Any candidate information received from any Agency/3 Party will be considered a gift and property of Blue Mantis, unless the Agency/3 Party is an Authorized Vendor of Blue Mantis with an up-to-date Blue Mantis Contract in hand signed by Blue Mantis Talent Acquisition. No payment will be made to any Agency/3 Party who is not an Authorized Vendor, nor has specific approval in writing from Blue Mantis Talent Acquisition to engage in recruitment efforts for Blue Mantis. At this time, we have no interest in onboarding any new staffing partners.
This position requires that the candidate selected be a US Citizen and must currently possess and maintain an active TS/SCI security clearance with polygraph. This is a hands-on technical role that requires an advanced software/systems engineering background. Coding/automation and design/architecture skills are required! The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at AWS. ProServe is a global organization of experts that help customers realize their desired business outcomes when utilizing AWS. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. As a Delivery Consultant, you will work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success throughout their cloud journey, providing technical expertise and best practices across the project lifecycle. You'll collaborate closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As an experienced technology professional, you will be responsible for: • Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs • Providing technical guidance and troubleshooting support throughout project delivery • Collaborating with stakeholders to gather requirements and propose effective migration strategies • Acting as a trusted advisor to customers on industry trends and emerging technologies • Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts About the team About AWS AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. BASIC QUALIFICATIONS- Bachelor's degree in Computer Science, Engineering, or a related field - 5+ years of work with software development lifecycle from conception to delivery experience - Experience working with Enterprise Application Modernization and Migration technologies, including, but not limited to, Mainframe, Serverless, Containers, or Cloud Operations - 5+ years of external or internal customer facing, complex and large scale project management experience - Current, active US Government Security Clearance of TS/SCI with Polygraph PREFERRED QUALIFICATIONS- Experience communicating technical concepts to diverse audiences in pre-sales environments - Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies - Experience in database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) - Experience in scripting for automation (e.g. Python) and advanced SQL skills. - Experience in performance optimization and cost management for cloud environments - Knowledge of security and compliance standards including HIPAA and GDPR - Experience with AWS data/file transfer solutions including AWS Application Migration Service (MGN), AWS Database Migration Service (DMS), and/or AWS DataSync Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, MD, Jessup - 153 800.00 USD annually
11/03/2026
Full time
This position requires that the candidate selected be a US Citizen and must currently possess and maintain an active TS/SCI security clearance with polygraph. This is a hands-on technical role that requires an advanced software/systems engineering background. Coding/automation and design/architecture skills are required! The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at AWS. ProServe is a global organization of experts that help customers realize their desired business outcomes when utilizing AWS. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. As a Delivery Consultant, you will work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success throughout their cloud journey, providing technical expertise and best practices across the project lifecycle. You'll collaborate closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As an experienced technology professional, you will be responsible for: • Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs • Providing technical guidance and troubleshooting support throughout project delivery • Collaborating with stakeholders to gather requirements and propose effective migration strategies • Acting as a trusted advisor to customers on industry trends and emerging technologies • Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts About the team About AWS AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. BASIC QUALIFICATIONS- Bachelor's degree in Computer Science, Engineering, or a related field - 5+ years of work with software development lifecycle from conception to delivery experience - Experience working with Enterprise Application Modernization and Migration technologies, including, but not limited to, Mainframe, Serverless, Containers, or Cloud Operations - 5+ years of external or internal customer facing, complex and large scale project management experience - Current, active US Government Security Clearance of TS/SCI with Polygraph PREFERRED QUALIFICATIONS- Experience communicating technical concepts to diverse audiences in pre-sales environments - Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies - Experience in database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) - Experience in scripting for automation (e.g. Python) and advanced SQL skills. - Experience in performance optimization and cost management for cloud environments - Knowledge of security and compliance standards including HIPAA and GDPR - Experience with AWS data/file transfer solutions including AWS Application Migration Service (MGN), AWS Database Migration Service (DMS), and/or AWS DataSync Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, MD, Jessup - 153 800.00 USD annually
Job Description Job Description Apply now: Products & Systems Integration QA Lead (SDET) , location is Hybrid (Tysons, VA - 2-3 days onsite) . The start date is ASAP for this Contract-to-Hire (6 Months) position. Job Title: Products & Systems Integration QA Lead (SDET) Location-Type: Hybrid (Tysons, VA - 2-3 days onsite) Start Date Is: ASAP Duration: Contract-to-Hire (6 Months) Pay Rate: $65-75/hr W2 Conversion Salary: $160,000 Benefits: Medical, dental, vision, 401k Benefits: Eligible for Health, Dental, Vision, 401K Not eligible for Visa sponsorship Job Description: We are seeking a hands-on QA Lead / SDET to build and own the test automation and quality strategy from the ground up within a Product Management Office. This role will act as the technical authority on quality across both proprietary software products and complex 3rd-party system integrations, ensuring reliability, scalability, and seamless system performance. Day-to-Day Responsibilities: Build and own the end-to-end QA strategy, including defining standards, frameworks, and "definition of done Design, develop, and maintain scalable automation frameworks for UI, API, and integration testing Lead testing efforts across internal products and 3rd-party system integrations Perform API and data-layer validation to ensure system integrity across environments Establish and enforce quality governance across multiple workstreams Collaborate with product, engineering, and leadership to align testing with business priorities Identify and communicate system risks, defects, and release readiness to stakeholders Select and manage QA tools, test environments, and reporting frameworks Lead and mentor a small QA team (2-3 engineers) while remaining hands-on Requirements: Must-Have Skills/Experiences: 7 years of experience in SDET, QA Automation, or Software Engineering roles 2 years of experience in a lead, mentor, or team leadership capacity Strong programming experience in Java or Kotlin Deep experience building and scaling test automation frameworks (not just executing tests) Hands-on experience with Selenium or similar automation tools Experience with API testing (REST/SOAP) and integration testing across systems Strong SQL skills for data validation and backend testing Solid understanding of software engineering and testing best practices Proven ability to operate independently and build processes from scratch Nice-to-Have Skills/Experiences: Background in software engineering beyond testing (true dev-to-SDET path) Experience testing systems that integrate with 3rd-party or COTS platforms Familiarity with cloud environments and CI/CD pipelines Understanding of networking, infrastructure, and distributed systems Experience in mission-critical or systems-heavy environments (e.g., security, infrastructure, automation) Exposure to systems engineering concepts such as V-model or integration testing at scale
11/03/2026
Full time
Job Description Job Description Apply now: Products & Systems Integration QA Lead (SDET) , location is Hybrid (Tysons, VA - 2-3 days onsite) . The start date is ASAP for this Contract-to-Hire (6 Months) position. Job Title: Products & Systems Integration QA Lead (SDET) Location-Type: Hybrid (Tysons, VA - 2-3 days onsite) Start Date Is: ASAP Duration: Contract-to-Hire (6 Months) Pay Rate: $65-75/hr W2 Conversion Salary: $160,000 Benefits: Medical, dental, vision, 401k Benefits: Eligible for Health, Dental, Vision, 401K Not eligible for Visa sponsorship Job Description: We are seeking a hands-on QA Lead / SDET to build and own the test automation and quality strategy from the ground up within a Product Management Office. This role will act as the technical authority on quality across both proprietary software products and complex 3rd-party system integrations, ensuring reliability, scalability, and seamless system performance. Day-to-Day Responsibilities: Build and own the end-to-end QA strategy, including defining standards, frameworks, and "definition of done Design, develop, and maintain scalable automation frameworks for UI, API, and integration testing Lead testing efforts across internal products and 3rd-party system integrations Perform API and data-layer validation to ensure system integrity across environments Establish and enforce quality governance across multiple workstreams Collaborate with product, engineering, and leadership to align testing with business priorities Identify and communicate system risks, defects, and release readiness to stakeholders Select and manage QA tools, test environments, and reporting frameworks Lead and mentor a small QA team (2-3 engineers) while remaining hands-on Requirements: Must-Have Skills/Experiences: 7 years of experience in SDET, QA Automation, or Software Engineering roles 2 years of experience in a lead, mentor, or team leadership capacity Strong programming experience in Java or Kotlin Deep experience building and scaling test automation frameworks (not just executing tests) Hands-on experience with Selenium or similar automation tools Experience with API testing (REST/SOAP) and integration testing across systems Strong SQL skills for data validation and backend testing Solid understanding of software engineering and testing best practices Proven ability to operate independently and build processes from scratch Nice-to-Have Skills/Experiences: Background in software engineering beyond testing (true dev-to-SDET path) Experience testing systems that integrate with 3rd-party or COTS platforms Familiarity with cloud environments and CI/CD pipelines Understanding of networking, infrastructure, and distributed systems Experience in mission-critical or systems-heavy environments (e.g., security, infrastructure, automation) Exposure to systems engineering concepts such as V-model or integration testing at scale
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Top Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Northrop Grumman Defense Systems (NGDS) is seeking a DevOps Engineer/ Principal DevOps Engineer at the National Air and Space Intelligence Center (NASIC) at Wright Patterson Air Force Base. Successful candidates should have a track record as an effective communicator and problem solver who is able to develop and maintain good working relationships with internal and external stakeholders. The candidate will be an active part of a Platform Engineering team with expertise in Kubernetes, Cloud, GitLab, and related platform technologies that will be responsible for building, maintaining, and scaling the foundational infrastructure. Summary of Responsibilities As a DevOps engineer, you will combine software development and IT operations to create a more streamlined and efficient development process by implementing and managing the DevOps approach within the organization. This position may be filled at a higher level based on the qualifications below. Basic Qualifications: DevOps Engineer (Level 2): Bachelor's degree in STEM with 2 years' relevant experience OR a master's degree with 0 years' experience Principal DevOps Engineer (Level 3): Bachelor's degree in STEM with 5 years' relevant experience OR a master's degree with 3 years' experience Active Department of Defense Top Secret/Sensitive Compartmented Information security clearance Active CompTIA Security+, SecurityX, or CISSP certification Minimum of 2 years' experience in DevOps, software development, or systems administration Experience with configuration and maintenance of DevOps Infrastructure as Code tools and CI/CD pipelines. Experience with OCI-compliant container technology and tools such as Podman or Docker Experience managing and troubleshooting containerized workloads, specifically using Kubernetes or Docker Swarm Experience with Linux Operating System and familiarity with core cloud services Experience with distributed revision control systems such as Git Preferred Qualifications Kubernetes related certifications such as CKA (Certified Kubernetes Administrator), CKAD (Certified Kubernetes Application Developer), or CKS (Certified Kubernetes Security Specialist), KCSP (Kubernetes Certified Service Provider) Experience with the configuration and administration of CNCF tools such as Harbor, ArgoCD, Grafana, Prometheus, and Helm Experience implementing "security as code," including automated vulnerability scanning and compliance-driven infrastructure (DoD STIGs/RMF). Experience designing enterprise-wide automation strategies and establishing golden paths/developer portals for engineering teams to reduce cognitive load. Experience working in an Agile environment/working knowledge of Agile principles and practices Experience with project/issue tracking software tools like Jira and Confluence Demonstrates a clear understanding of Microservice Architectures Primary Level Salary Range: $83,400.00 - $125,200.00 Secondary Level Salary Range: $103,600.00 - $155,400.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
11/03/2026
Full time
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Top Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Northrop Grumman Defense Systems (NGDS) is seeking a DevOps Engineer/ Principal DevOps Engineer at the National Air and Space Intelligence Center (NASIC) at Wright Patterson Air Force Base. Successful candidates should have a track record as an effective communicator and problem solver who is able to develop and maintain good working relationships with internal and external stakeholders. The candidate will be an active part of a Platform Engineering team with expertise in Kubernetes, Cloud, GitLab, and related platform technologies that will be responsible for building, maintaining, and scaling the foundational infrastructure. Summary of Responsibilities As a DevOps engineer, you will combine software development and IT operations to create a more streamlined and efficient development process by implementing and managing the DevOps approach within the organization. This position may be filled at a higher level based on the qualifications below. Basic Qualifications: DevOps Engineer (Level 2): Bachelor's degree in STEM with 2 years' relevant experience OR a master's degree with 0 years' experience Principal DevOps Engineer (Level 3): Bachelor's degree in STEM with 5 years' relevant experience OR a master's degree with 3 years' experience Active Department of Defense Top Secret/Sensitive Compartmented Information security clearance Active CompTIA Security+, SecurityX, or CISSP certification Minimum of 2 years' experience in DevOps, software development, or systems administration Experience with configuration and maintenance of DevOps Infrastructure as Code tools and CI/CD pipelines. Experience with OCI-compliant container technology and tools such as Podman or Docker Experience managing and troubleshooting containerized workloads, specifically using Kubernetes or Docker Swarm Experience with Linux Operating System and familiarity with core cloud services Experience with distributed revision control systems such as Git Preferred Qualifications Kubernetes related certifications such as CKA (Certified Kubernetes Administrator), CKAD (Certified Kubernetes Application Developer), or CKS (Certified Kubernetes Security Specialist), KCSP (Kubernetes Certified Service Provider) Experience with the configuration and administration of CNCF tools such as Harbor, ArgoCD, Grafana, Prometheus, and Helm Experience implementing "security as code," including automated vulnerability scanning and compliance-driven infrastructure (DoD STIGs/RMF). Experience designing enterprise-wide automation strategies and establishing golden paths/developer portals for engineering teams to reduce cognitive load. Experience working in an Agile environment/working knowledge of Agile principles and practices Experience with project/issue tracking software tools like Jira and Confluence Demonstrates a clear understanding of Microservice Architectures Primary Level Salary Range: $83,400.00 - $125,200.00 Secondary Level Salary Range: $103,600.00 - $155,400.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
Job Description Job Description Join Sky Solutions, LLC - Pioneering Digital Transformation Excellence! Sky Solutions is a trusted partner in government contracting, empowering federal agencies with cutting-edge IT solutions. Our expertise spans AI-first enablement, delivering innovative solutions and advanced cybersecurity, fortifying digital ecosystems against emerging threats and digital transformation through low-code/no-code development, cloud solutions, and agile methodologies. We simplify complex processes and deliver breakthrough results for federal clients across healthcare, financial services, and national security. Job Title : DevSecOps Engineer Location : Tysons Corner, VA Duration : Fulltime Job Summary We are seeking an experienced DevSecOps Engineer to support the development, deployment, automation, security, and continuous delivery of applications within a mission-critical Centers for Medicare & Medicaid Services (CMS) federal healthcare program. The DevSecOps Engineer will work closely with software developers, QA engineers, architects, cloud engineers, security teams, and program stakeholders to implement automated CI/CD pipelines, cloud-native deployments, infrastructure automation, security controls, monitoring, and operational improvements. The ideal candidate will have hands-on experience supporting enterprise applications in cloud environments and integrating security throughout the software development lifecycle. Key Responsibilities Design, implement, maintain, and optimize CI/CD pipelines supporting application development, testing, security validation, and deployment. Automate build, deployment, configuration, testing, and operational processes across development, test, staging, and production environments. Support deployment and management of containerized applications using Docker . Implement and maintain DevSecOps practices that integrate security throughout the software development lifecycle. Collaborate with development teams to integrate code quality, security scanning, vulnerability management, and automated testing into CI/CD pipelines. Support cloud-native application deployments and infrastructure within AWS environments. Work with development and architecture teams supporting microservices-based applications and REST APIs . Implement automated deployment strategies and promote repeatable, reliable, and consistent environment configuration. Monitor application and infrastructure health, performance, availability, and deployment activity. Troubleshoot build, deployment, infrastructure, integration, and environment-related issues. Support release management, deployment coordination, rollback procedures, and production-readiness activities. Implement logging, monitoring, alerting, and operational dashboards to improve system observability. Collaborate with security and compliance teams to implement required security controls and address vulnerabilities. Support automated security and quality checks using tools such as SonarQube and other appropriate DevSecOps tools. Maintain technical documentation covering deployment processes, CI/CD pipelines, environment configurations, operational procedures, and troubleshooting. Participate in Agile ceremonies and collaborate with Scrum Masters, Product Owners, developers, QA engineers, architects, and other technical stakeholders. Identify opportunities to improve automation, deployment efficiency, system reliability, security, and overall engineering productivity. Required Qualifications Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent experience. 5+ years of experience in DevOps, DevSecOps, cloud engineering, release engineering, or software engineering . Hands-on experience designing and maintaining CI/CD pipelines . Strong experience with Docker and containerized application deployments . Experience with AWS cloud services and cloud-native application environments . Experience supporting microservices architectures and REST-based applications . Strong understanding of software development lifecycle, build management, deployment automation, and release management. Experience integrating automated testing, code quality, and security checks into CI/CD pipelines. Experience troubleshooting application deployments, build failures, infrastructure issues, and environment-related problems. Strong understanding of version control systems and collaborative software development practices. Strong analytical, troubleshooting, communication, and problem-solving skills. Experience working in Agile/Scrum development environments. Preferred Qualifications Experience supporting federal government or healthcare technology programs . Experience working with CMS, Medicare, Medicaid, or Program Integrity environments. Experience implementing DevSecOps practices within highly regulated or security-sensitive environments. Experience with Java/Spring Boot enterprise applications. Experience with Maven and Java application build processes. Experience with SonarQube and automated code quality analysis. Experience with automated security, vulnerability, and dependency scanning tools. Experience with Kubernetes or OpenShift container orchestration platforms. Experience with infrastructure-as-code and configuration management tools. Experience with AWS S3, IAM/STS, and other AWS services . Experience with centralized logging, monitoring, and application observability. Experience supporting high-volume enterprise applications and distributed systems. DevSecOps, AWS, Kubernetes, or related professional certifications are a plus. Work Environment This position will work as part of a multidisciplinary technology team supporting the development, modernization, deployment, and operation of enterprise applications within the CMS federal healthcare environment . The role will collaborate closely with development, QA, architecture, security, cloud, and program teams to support secure and reliable software delivery. The environment includes cloud-native AWS architecture, Docker-based containerization, microservices, REST APIs, automated quality controls, and DevSecOps practices . Compensation : The expected compensation range for this position is $100,000 - $160,000 annually. Compensation is determined in good faith and may vary based on job-related factors, including relevant experience, skills, education, certifications, clearance level, labor category alignment, contract requirements, work location, internal equity, and business needs. The posted range reflects the Sky's reasonable estimate at the time of posting and does not guarantee a specific salary or rate. Final compensation will be determined based on the selected candidate's qualifications and applicable contractual and business considerations. Sky Solutions Benefits & Culture at a Glance Healthcare & Wellness Medical, dental, and vision coverage tailored to your needs. Supplemental options like life insurance, disability, HSA/FSA available. Time Off & Work-Life Balance Starting at 15 PTO days per year, increasing with tenure. Plus 11 paid holidays to recharge and spend time with loved ones. Professional Growth & Development Annual education stipend. Access to thousands of online courses. Formal mentorship programs for career advancement. Inclusive Culture "One Team" mentality focused on collaboration and belonging. Recognized as a Great Place to Work for six years straight. To learn more about life at Sky Solutions, visit our Careers page: Careers - Sky Solutions At Sky Solutions, LLC, we welcome applications from all qualified candidates who share our vision and values.
11/03/2026
Full time
Job Description Job Description Join Sky Solutions, LLC - Pioneering Digital Transformation Excellence! Sky Solutions is a trusted partner in government contracting, empowering federal agencies with cutting-edge IT solutions. Our expertise spans AI-first enablement, delivering innovative solutions and advanced cybersecurity, fortifying digital ecosystems against emerging threats and digital transformation through low-code/no-code development, cloud solutions, and agile methodologies. We simplify complex processes and deliver breakthrough results for federal clients across healthcare, financial services, and national security. Job Title : DevSecOps Engineer Location : Tysons Corner, VA Duration : Fulltime Job Summary We are seeking an experienced DevSecOps Engineer to support the development, deployment, automation, security, and continuous delivery of applications within a mission-critical Centers for Medicare & Medicaid Services (CMS) federal healthcare program. The DevSecOps Engineer will work closely with software developers, QA engineers, architects, cloud engineers, security teams, and program stakeholders to implement automated CI/CD pipelines, cloud-native deployments, infrastructure automation, security controls, monitoring, and operational improvements. The ideal candidate will have hands-on experience supporting enterprise applications in cloud environments and integrating security throughout the software development lifecycle. Key Responsibilities Design, implement, maintain, and optimize CI/CD pipelines supporting application development, testing, security validation, and deployment. Automate build, deployment, configuration, testing, and operational processes across development, test, staging, and production environments. Support deployment and management of containerized applications using Docker . Implement and maintain DevSecOps practices that integrate security throughout the software development lifecycle. Collaborate with development teams to integrate code quality, security scanning, vulnerability management, and automated testing into CI/CD pipelines. Support cloud-native application deployments and infrastructure within AWS environments. Work with development and architecture teams supporting microservices-based applications and REST APIs . Implement automated deployment strategies and promote repeatable, reliable, and consistent environment configuration. Monitor application and infrastructure health, performance, availability, and deployment activity. Troubleshoot build, deployment, infrastructure, integration, and environment-related issues. Support release management, deployment coordination, rollback procedures, and production-readiness activities. Implement logging, monitoring, alerting, and operational dashboards to improve system observability. Collaborate with security and compliance teams to implement required security controls and address vulnerabilities. Support automated security and quality checks using tools such as SonarQube and other appropriate DevSecOps tools. Maintain technical documentation covering deployment processes, CI/CD pipelines, environment configurations, operational procedures, and troubleshooting. Participate in Agile ceremonies and collaborate with Scrum Masters, Product Owners, developers, QA engineers, architects, and other technical stakeholders. Identify opportunities to improve automation, deployment efficiency, system reliability, security, and overall engineering productivity. Required Qualifications Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent experience. 5+ years of experience in DevOps, DevSecOps, cloud engineering, release engineering, or software engineering . Hands-on experience designing and maintaining CI/CD pipelines . Strong experience with Docker and containerized application deployments . Experience with AWS cloud services and cloud-native application environments . Experience supporting microservices architectures and REST-based applications . Strong understanding of software development lifecycle, build management, deployment automation, and release management. Experience integrating automated testing, code quality, and security checks into CI/CD pipelines. Experience troubleshooting application deployments, build failures, infrastructure issues, and environment-related problems. Strong understanding of version control systems and collaborative software development practices. Strong analytical, troubleshooting, communication, and problem-solving skills. Experience working in Agile/Scrum development environments. Preferred Qualifications Experience supporting federal government or healthcare technology programs . Experience working with CMS, Medicare, Medicaid, or Program Integrity environments. Experience implementing DevSecOps practices within highly regulated or security-sensitive environments. Experience with Java/Spring Boot enterprise applications. Experience with Maven and Java application build processes. Experience with SonarQube and automated code quality analysis. Experience with automated security, vulnerability, and dependency scanning tools. Experience with Kubernetes or OpenShift container orchestration platforms. Experience with infrastructure-as-code and configuration management tools. Experience with AWS S3, IAM/STS, and other AWS services . Experience with centralized logging, monitoring, and application observability. Experience supporting high-volume enterprise applications and distributed systems. DevSecOps, AWS, Kubernetes, or related professional certifications are a plus. Work Environment This position will work as part of a multidisciplinary technology team supporting the development, modernization, deployment, and operation of enterprise applications within the CMS federal healthcare environment . The role will collaborate closely with development, QA, architecture, security, cloud, and program teams to support secure and reliable software delivery. The environment includes cloud-native AWS architecture, Docker-based containerization, microservices, REST APIs, automated quality controls, and DevSecOps practices . Compensation : The expected compensation range for this position is $100,000 - $160,000 annually. Compensation is determined in good faith and may vary based on job-related factors, including relevant experience, skills, education, certifications, clearance level, labor category alignment, contract requirements, work location, internal equity, and business needs. The posted range reflects the Sky's reasonable estimate at the time of posting and does not guarantee a specific salary or rate. Final compensation will be determined based on the selected candidate's qualifications and applicable contractual and business considerations. Sky Solutions Benefits & Culture at a Glance Healthcare & Wellness Medical, dental, and vision coverage tailored to your needs. Supplemental options like life insurance, disability, HSA/FSA available. Time Off & Work-Life Balance Starting at 15 PTO days per year, increasing with tenure. Plus 11 paid holidays to recharge and spend time with loved ones. Professional Growth & Development Annual education stipend. Access to thousands of online courses. Formal mentorship programs for career advancement. Inclusive Culture "One Team" mentality focused on collaboration and belonging. Recognized as a Great Place to Work for six years straight. To learn more about life at Sky Solutions, visit our Careers page: Careers - Sky Solutions At Sky Solutions, LLC, we welcome applications from all qualified candidates who share our vision and values.
Job Description Job Description Build to something to be proud of. Captivation has built a reputation on providing customers exactly what is needed in a timely manner. Our team of engineers take pride in what they develop and constantly innovate to provide the best solution. Captivation is looking for software developers who can get stuff done while making a difference in support of the mission to protect our country. Description Captivation Software is seeking a highly motivated and experienced DevOps Engineer to join our fast-paced development team. The ideal candidate will have strong working knowledge in Kubernetes and Container Orchestration, Configuration Management, CI/CD, Automation, AWS, Linux systems administration, Scripting in Bash and Programming in Python, and a background in Big Data solutions. The DevOps Engineer will be responsible for implementing infrastructure, automating deployment processes, and ensuring the monitoring, reliability and scalability of our services. This is an on-site role primarily out of Hanover, MD with some work out of our Columbia, MD office. Flexibility is key for success. If you have a passion for DevOps and are interested in working with a dynamic and innovative team, we encourage you to apply for this exciting opportunity. Responsibilities Support development and deployment of infrastructure in AWS Automate deployment processes and ensure reliability and scalability of services Manage and maintain cloud infrastructure on AWS Collaborate with development teams to integrate their applications into the infrastructure Monitor and troubleshoot production systems and resolve issues as necessary Continuously improve processes and tools to ensure high availability and performance Stay current with new technologies and industry trends, continuously exploring new ways to improve our infrastructure Other Duties as assigned Requirements Security Clearance: A current Top Secret U.S. Government Security Clearance is required; U.S. Citizenship required. Minimum Qualifications: 9+ years of experience in DevOps Engineering or Software Development and Bachelors in related field; or 7 years relevant experience with Masters in related field; or High School Diploma or equivalent and 13 years relevant experience. Strong knowledge of Linux, including system administration and troubleshooting Proficient in configuration management tools such as Terraform, Ansible or Puppet Knowledge of AWS services (EC2, EBS, S3, Lambda) and their application to deployment and management of infrastructure. Experience with application and OS deployment, scaling, and management Ability to develop in multiple programming languages such as Python, Bash, or Go Familiarity with Git and other development tools. Excellent problem-solving skills and the ability to identify and troubleshoot complex issues Excellent oral and written communication skills. Understanding of AGILE software development methodologies and use of standard software development tool suites Must have a DoD 8140 / 8570 compliance certifications (i.e. Security+) Must be able to be on site 5 days/week in Hanover, MD or Columbia, MD. Will have ability to be working from home from time to time. Flexibility is essential to accommodate any changes in the schedule. Preferred Qualifications: Experience with big data technologies like: Hadoop, Spark, PostgreSQL, ElasticSearch, Hive, Drill, Impala, Trino, Presto, etc. Experience with containers EKS, Diode, CI/CD, and Terraform are a plus This position is open for direct hires only. We will not consider candidates from third party staffing/recruiting firms. Benefits Annual Salary: $130,000 - $270,000 (Depends on the Years of Experience) Up to 20% 401k contribution (No Matching Required and Vested from Day 1) Above Market Hourly Rates $3,600 HSA Contribution 6 Weeks Paid Time Off Company Paid Employee Medical/Dental/Vision Insurance/Life Insurance/Short-Term & Long-Term Disability/AD&D
11/03/2026
Full time
Job Description Job Description Build to something to be proud of. Captivation has built a reputation on providing customers exactly what is needed in a timely manner. Our team of engineers take pride in what they develop and constantly innovate to provide the best solution. Captivation is looking for software developers who can get stuff done while making a difference in support of the mission to protect our country. Description Captivation Software is seeking a highly motivated and experienced DevOps Engineer to join our fast-paced development team. The ideal candidate will have strong working knowledge in Kubernetes and Container Orchestration, Configuration Management, CI/CD, Automation, AWS, Linux systems administration, Scripting in Bash and Programming in Python, and a background in Big Data solutions. The DevOps Engineer will be responsible for implementing infrastructure, automating deployment processes, and ensuring the monitoring, reliability and scalability of our services. This is an on-site role primarily out of Hanover, MD with some work out of our Columbia, MD office. Flexibility is key for success. If you have a passion for DevOps and are interested in working with a dynamic and innovative team, we encourage you to apply for this exciting opportunity. Responsibilities Support development and deployment of infrastructure in AWS Automate deployment processes and ensure reliability and scalability of services Manage and maintain cloud infrastructure on AWS Collaborate with development teams to integrate their applications into the infrastructure Monitor and troubleshoot production systems and resolve issues as necessary Continuously improve processes and tools to ensure high availability and performance Stay current with new technologies and industry trends, continuously exploring new ways to improve our infrastructure Other Duties as assigned Requirements Security Clearance: A current Top Secret U.S. Government Security Clearance is required; U.S. Citizenship required. Minimum Qualifications: 9+ years of experience in DevOps Engineering or Software Development and Bachelors in related field; or 7 years relevant experience with Masters in related field; or High School Diploma or equivalent and 13 years relevant experience. Strong knowledge of Linux, including system administration and troubleshooting Proficient in configuration management tools such as Terraform, Ansible or Puppet Knowledge of AWS services (EC2, EBS, S3, Lambda) and their application to deployment and management of infrastructure. Experience with application and OS deployment, scaling, and management Ability to develop in multiple programming languages such as Python, Bash, or Go Familiarity with Git and other development tools. Excellent problem-solving skills and the ability to identify and troubleshoot complex issues Excellent oral and written communication skills. Understanding of AGILE software development methodologies and use of standard software development tool suites Must have a DoD 8140 / 8570 compliance certifications (i.e. Security+) Must be able to be on site 5 days/week in Hanover, MD or Columbia, MD. Will have ability to be working from home from time to time. Flexibility is essential to accommodate any changes in the schedule. Preferred Qualifications: Experience with big data technologies like: Hadoop, Spark, PostgreSQL, ElasticSearch, Hive, Drill, Impala, Trino, Presto, etc. Experience with containers EKS, Diode, CI/CD, and Terraform are a plus This position is open for direct hires only. We will not consider candidates from third party staffing/recruiting firms. Benefits Annual Salary: $130,000 - $270,000 (Depends on the Years of Experience) Up to 20% 401k contribution (No Matching Required and Vested from Day 1) Above Market Hourly Rates $3,600 HSA Contribution 6 Weeks Paid Time Off Company Paid Employee Medical/Dental/Vision Insurance/Life Insurance/Short-Term & Long-Term Disability/AD&D
Credit Acceptance Corporation
San Francisco, California
At Credit Acceptance, we are building on the foundation of a successful business while investing in the future through technology, data, AI, and continuous improvement. As we continue to evolve, our Team Members play an active role in improving experiences, driving meaningful change, and shaping the future of our business. We foster an environment where people are empowered to contribute ideas, develop their careers, make an impact, and help lead our continued transformation. Our Engineering teams are helping shape the future of Credit Acceptance through innovation. Team Members collaborate across the organization to solve complex challenges, build impactful solutions, challenge the status quo, and support informed business decisions. We value curiosity, continuous learning, and new ideas from people who are passionate about driving modernization and meaningful business impact. Outcomes and Activities: Own the deployment path for ML and GenAI models end to end training and inference pipelines, model registry and versioning, serving endpoints, and controlled promotion across development, QA and production. Own runtime health for models in production: monitoring, alerting, drift and quality-regression detection, latency and throughput objectives, capacity and autoscaling behavior, and incident response through to root cause and a closed corrective action. Operate the agent runtime layer. Route production agents through the enterprise AI Gateway and MCP Gateway rather than direct model and tool access, migrate existing agents onto that governed path, and keep tool surfaces scoped, versioned and least-privilege as they change. Own evaluation of agents in production, not just before release. Online scoring and behavioral monitoring, quality-regression and drift detection against pinned baselines, sampling and judge pipelines, and the release-gate mechanics that stop a regression from shipping. Build and maintain the observability and evaluation substrate other teams depend on: trace and telemetry capture including multi-turn and multi-step agent traces, logging standards, evaluation pipeline plumbing, and the data contracts underneath them. Own platform unit economics. Measure and manage cost per inference, per document and per interaction, and produce the platform and infrastructure cost analysis that informs build-versus-buy and hosting decisions. Make the paved road real. Deliver reusable pipeline templates, deployment patterns, reference implementations and internal tooling so product teams adopt the standard path because it is faster, not because it is mandated. Partner with Cloud Engineering, Data Engineering, Security and SRE so the ML platform sits inside enterprise governance, identity and observability rather than beside it. Respond to AI-specific production incidents and drive them to a closed corrective action: prompt injection attempts, rogue-agent cost spikes, data-classification exposure through a tool call, delegation abuse between agents, and model endpoint failures. Maintain the architecture documentation and system diagrams for the ML platform and keep them accurate enough to be used in design review. Mentor engineers and interns on production ML practice and raise the operating standard through design and code review rather than through rework. Competencies: The following items detail how you will be successful in this role. Customer Empathy: Customer Empathy is the ability to understand the perspectives, pain points, and experiences of customers. It involves actively putting oneself in the customer's shoes, comprehending their needs and challenges, and using that understanding to provide a better, more customer-centric experience. Engineering Excellence: Engineering Excellence is about bringing great craftsmanship and thought leadership to deliver an outstanding product that delights customers and solves for the business. This involves the pursuit and achievement of high standards, best practices, innovation, and superior solutions. One Team: A One Team mindset refers to a collaborative approach across the organization, where individuals work together seamlessly, without boundaries, as a single, cohesive team. Shared goals, open communication and mutual support create a sense of collective purpose. This enables teams to navigate challenges and pursue shared objectives more effectively. Owner's Mindset: Owner's Mindset involves adopting a set of behaviors that reflect a sense of responsibility, accountability, strategic thinking, and a proactive approach to managing your domain. As an owner, you understand the business and your domain(s) deeply and solve for the right outcome for the domain(s) and the business. Requirements Bachelor's degree in Computer Science, Engineering, Statistics or a relevant technical field with at least 7 years of relevant experience, or a Master's degree in one of those fields with at least 5 years of relevant experience. 5+ years building and operating production ML or AI systems, with direct ownership of at least two of: training or inference pipelines, model serving infrastructure, model registry and versioning, or production monitoring and alerting. Demonstrated ownership of a production ML or AI service through its full operating life: deployed it, monitored it, was paged for it, diagnosed a failure, and shipped the fix. Strong Python and SQL, with production-quality engineering practice: version control, testing, code review, and CI/CD applied to ML workloads rather than only to application code. Hands-on experience with a cloud ML platform in production. AWS and Databricks strongly preferred, including model serving, job orchestration, and a model registry or experiment tracking system such as MLflow. Working knowledge of how LLM and GenAI workloads differ operationally from traditional ML: token cost and latency behavior, caching and batching, non-deterministic output. Experience running LLM or agent applications behind a gateway or proxy layer, and able to build best practices for model routing and fallback, credential and key management, rate limiting and budget enforcement. Working knowledge of tool-calling architecture for agents, including the Model Context Protocol: what an MCP server is, how tools are scoped and authorized, and why tool access is brokered through a gateway rather than granted directly. Experience with containerization and infrastructure as code. Ability to communicate technical and non-technical trade-offs clearly in writing to an audience that includes both engineers and non-engineers. Candidates must reside in or be willing to relocate to one of the following hub locations: the greater Southfield, Michigan, area; the greater Bellevue, Washington, area; or the San Francisco Bay Area, California. Preferred Production experience with GPU-backed model serving, including autoscaling behavior under concurrent load, cold-start management and cost control. Experience with OpenTelemetry and an enterprise observability platform such as Dynatrace, including instrumenting AI workloads rather than only conventional services. Experience with model serving efficiency techniques: quantization, parameter-efficient fine-tuning, distillation or inference optimization. Experience with data governance and access control on a lakehouse platform, such as Databricks Unity Catalog. Experience operating AI systems in a regulated industry, particularly financial services, including auditability, retention and access-control requirements. Experience with agentic or multi-step AI systems in production, including tracing and debugging multi-turn behavior. Hands-on experience with a managed agent or tool gateway, such as AWS Bedrock AgentCore Gateway, and with running MCP servers in a governed environment. Familiarity with emerging agent interoperability and agent identity standards, including Agent2Agent (A2A) style agent-to-agent delegation, agent discovery and capability advertisement, and workload identity for non-human actors. Knowledge and Skills Ability to communicate complex technical information, both verbal and written, to all levels, including senior leadership. Ability to solve problems at the source by offering simple, working solutions. Responds promptly and effectively to resolve incidents, tasks, and projects. Demonstrated ability and motivation to teach others. Ability to gain the trust of others and build solid relationships across and vertically throughout the organization. Effectively prioritize and execute tasks in a high-pressure environment. Target Compensation: This position offers a competitive base salary, with a range of $184,943- $258,920. This position is eligible for an annual variable incentive of cash and equity, between 10- 20% of base salary. Actual amounts are based on individual performance. Final compensation within the range is influenced by many factors including assigned hub location, role-specific skills, depth and experience level, industry background, relevant education and certifications. This position follows a hybrid work model, offering two work-from-home days and three standard in-office days each week with the team and key stakeholders at the local office. INDENGLP Benefits Excellent benefits package that includes 401(K) match, adoption assistance, parental leave, tuition reimbursement, comprehensive medical/ dental/vision and many nonstandard benefits that make us a Great Place to Work Our Company Values: To be successful in this role, Team Members need to be: Positive by maintaining resiliency and focusing on solutions Respectful by collaborating and actively listening Insightful by cultivating innovation, accumulating business and role specific knowledge, demonstrating self-awareness and making quality decisions Direct by effectively communicating and conveying courage Earnest by taking accountability . click apply for full job details
11/03/2026
Full time
At Credit Acceptance, we are building on the foundation of a successful business while investing in the future through technology, data, AI, and continuous improvement. As we continue to evolve, our Team Members play an active role in improving experiences, driving meaningful change, and shaping the future of our business. We foster an environment where people are empowered to contribute ideas, develop their careers, make an impact, and help lead our continued transformation. Our Engineering teams are helping shape the future of Credit Acceptance through innovation. Team Members collaborate across the organization to solve complex challenges, build impactful solutions, challenge the status quo, and support informed business decisions. We value curiosity, continuous learning, and new ideas from people who are passionate about driving modernization and meaningful business impact. Outcomes and Activities: Own the deployment path for ML and GenAI models end to end training and inference pipelines, model registry and versioning, serving endpoints, and controlled promotion across development, QA and production. Own runtime health for models in production: monitoring, alerting, drift and quality-regression detection, latency and throughput objectives, capacity and autoscaling behavior, and incident response through to root cause and a closed corrective action. Operate the agent runtime layer. Route production agents through the enterprise AI Gateway and MCP Gateway rather than direct model and tool access, migrate existing agents onto that governed path, and keep tool surfaces scoped, versioned and least-privilege as they change. Own evaluation of agents in production, not just before release. Online scoring and behavioral monitoring, quality-regression and drift detection against pinned baselines, sampling and judge pipelines, and the release-gate mechanics that stop a regression from shipping. Build and maintain the observability and evaluation substrate other teams depend on: trace and telemetry capture including multi-turn and multi-step agent traces, logging standards, evaluation pipeline plumbing, and the data contracts underneath them. Own platform unit economics. Measure and manage cost per inference, per document and per interaction, and produce the platform and infrastructure cost analysis that informs build-versus-buy and hosting decisions. Make the paved road real. Deliver reusable pipeline templates, deployment patterns, reference implementations and internal tooling so product teams adopt the standard path because it is faster, not because it is mandated. Partner with Cloud Engineering, Data Engineering, Security and SRE so the ML platform sits inside enterprise governance, identity and observability rather than beside it. Respond to AI-specific production incidents and drive them to a closed corrective action: prompt injection attempts, rogue-agent cost spikes, data-classification exposure through a tool call, delegation abuse between agents, and model endpoint failures. Maintain the architecture documentation and system diagrams for the ML platform and keep them accurate enough to be used in design review. Mentor engineers and interns on production ML practice and raise the operating standard through design and code review rather than through rework. Competencies: The following items detail how you will be successful in this role. Customer Empathy: Customer Empathy is the ability to understand the perspectives, pain points, and experiences of customers. It involves actively putting oneself in the customer's shoes, comprehending their needs and challenges, and using that understanding to provide a better, more customer-centric experience. Engineering Excellence: Engineering Excellence is about bringing great craftsmanship and thought leadership to deliver an outstanding product that delights customers and solves for the business. This involves the pursuit and achievement of high standards, best practices, innovation, and superior solutions. One Team: A One Team mindset refers to a collaborative approach across the organization, where individuals work together seamlessly, without boundaries, as a single, cohesive team. Shared goals, open communication and mutual support create a sense of collective purpose. This enables teams to navigate challenges and pursue shared objectives more effectively. Owner's Mindset: Owner's Mindset involves adopting a set of behaviors that reflect a sense of responsibility, accountability, strategic thinking, and a proactive approach to managing your domain. As an owner, you understand the business and your domain(s) deeply and solve for the right outcome for the domain(s) and the business. Requirements Bachelor's degree in Computer Science, Engineering, Statistics or a relevant technical field with at least 7 years of relevant experience, or a Master's degree in one of those fields with at least 5 years of relevant experience. 5+ years building and operating production ML or AI systems, with direct ownership of at least two of: training or inference pipelines, model serving infrastructure, model registry and versioning, or production monitoring and alerting. Demonstrated ownership of a production ML or AI service through its full operating life: deployed it, monitored it, was paged for it, diagnosed a failure, and shipped the fix. Strong Python and SQL, with production-quality engineering practice: version control, testing, code review, and CI/CD applied to ML workloads rather than only to application code. Hands-on experience with a cloud ML platform in production. AWS and Databricks strongly preferred, including model serving, job orchestration, and a model registry or experiment tracking system such as MLflow. Working knowledge of how LLM and GenAI workloads differ operationally from traditional ML: token cost and latency behavior, caching and batching, non-deterministic output. Experience running LLM or agent applications behind a gateway or proxy layer, and able to build best practices for model routing and fallback, credential and key management, rate limiting and budget enforcement. Working knowledge of tool-calling architecture for agents, including the Model Context Protocol: what an MCP server is, how tools are scoped and authorized, and why tool access is brokered through a gateway rather than granted directly. Experience with containerization and infrastructure as code. Ability to communicate technical and non-technical trade-offs clearly in writing to an audience that includes both engineers and non-engineers. Candidates must reside in or be willing to relocate to one of the following hub locations: the greater Southfield, Michigan, area; the greater Bellevue, Washington, area; or the San Francisco Bay Area, California. Preferred Production experience with GPU-backed model serving, including autoscaling behavior under concurrent load, cold-start management and cost control. Experience with OpenTelemetry and an enterprise observability platform such as Dynatrace, including instrumenting AI workloads rather than only conventional services. Experience with model serving efficiency techniques: quantization, parameter-efficient fine-tuning, distillation or inference optimization. Experience with data governance and access control on a lakehouse platform, such as Databricks Unity Catalog. Experience operating AI systems in a regulated industry, particularly financial services, including auditability, retention and access-control requirements. Experience with agentic or multi-step AI systems in production, including tracing and debugging multi-turn behavior. Hands-on experience with a managed agent or tool gateway, such as AWS Bedrock AgentCore Gateway, and with running MCP servers in a governed environment. Familiarity with emerging agent interoperability and agent identity standards, including Agent2Agent (A2A) style agent-to-agent delegation, agent discovery and capability advertisement, and workload identity for non-human actors. Knowledge and Skills Ability to communicate complex technical information, both verbal and written, to all levels, including senior leadership. Ability to solve problems at the source by offering simple, working solutions. Responds promptly and effectively to resolve incidents, tasks, and projects. Demonstrated ability and motivation to teach others. Ability to gain the trust of others and build solid relationships across and vertically throughout the organization. Effectively prioritize and execute tasks in a high-pressure environment. Target Compensation: This position offers a competitive base salary, with a range of $184,943- $258,920. This position is eligible for an annual variable incentive of cash and equity, between 10- 20% of base salary. Actual amounts are based on individual performance. Final compensation within the range is influenced by many factors including assigned hub location, role-specific skills, depth and experience level, industry background, relevant education and certifications. This position follows a hybrid work model, offering two work-from-home days and three standard in-office days each week with the team and key stakeholders at the local office. INDENGLP Benefits Excellent benefits package that includes 401(K) match, adoption assistance, parental leave, tuition reimbursement, comprehensive medical/ dental/vision and many nonstandard benefits that make us a Great Place to Work Our Company Values: To be successful in this role, Team Members need to be: Positive by maintaining resiliency and focusing on solutions Respectful by collaborating and actively listening Insightful by cultivating innovation, accumulating business and role specific knowledge, demonstrating self-awareness and making quality decisions Direct by effectively communicating and conveying courage Earnest by taking accountability . click apply for full job details
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Top Secret TRAVEL: Yes, 50% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. We are seeking an experienced and mission-focused Sr. Staff Systems Architect - System-of-Systems to support, Neptune Phoenix, a complex defense program delivering next-generation technical collection capabilities to our customers. The successful candidate will serve as the lead architect for software-intensive, cloud-enabled hardware systems and will be responsible for defining, communicating, and guiding the end-to-end technical architecture across on-premises, tactical, and secure AWS cloud environments. The Neptune Phoenix program provides sustainment for an existing prototype portfolio while driving development, production, and operational support for the next generation of technical collection capabilities. The team designs and integrates ground and platform-based collection systems built on Model-Based Systems Engineering (MBSE), open architectures, and open standards. The Sr. Staff Systems Architect will play a central role in shaping the system-of-systems architecture, ensuring interoperability across diverse hardware capabilities, and aligning technical solutions with evolving mission needs, performance objectives, and cyber-resilience requirements. Essential Duties and Responsibilities Capture, derive, and decompose system-of-systems architecture from high-level Concepts of Operations (CONOPS) and Operations Concepts (OPSCON) and disseminate architectural guidance to multiple integrated teams to ensure alignment with the overarching architecture. Lead cross-project technical alignment, driving common architecture patterns, interfaces, and reusable design solutions across multiple projects and product lines. Create, evolve, and maintain system architecture artifacts, including system block diagrams, interface definitions, data flows, and common program design solutions using MBSE methods and tools. Evolve and enhance a customer's suite of disparate capabilities into an integrated system of systems that satisfies current and emerging mission objectives for capability, availability, reliability, performance, and security. Partner with the Chief Engineer, program management, and engineering leads to define technical roadmaps, architectural trade spaces, and modernization strategies that balance mission effectiveness, cost, schedule, and risk. Support technical discussions with the customer, including presenting architecture options, trade studies, and technical decision packages. Guide technical implementation across software, custom mission hardware, cloud infrastructure, networking, and cybersecurity domains, ensuring architectural integrity and consistency with open architecture and open standards principles. Collaborate with Systems Engineering, Integration & Test, Software, Hardware, Cybersecurity, and Specialty Engineering teams to ensure design decisions, interfaces, and implementations remain aligned with the baseline architecture. Champion Agile and SAFe-aligned practices within the architecture and engineering teams, ensuring that architecture epics, features, and enablers are well-defined and support iterative delivery of capability. Basic Qualifications Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, Systems Engineering, or other STEM field with 14 years of related experience; OR Master's degree in a STEM field with 12 years of related experience; OR PhD in a STEM field with 10 years of related experience. Active U.S. Government Top Secret security clearance with SCI eligibility. U.S. Citizenship is required Significant engineering experience within a defense contractor supporting Engineering and Manufacturing Development (EMD), Low-Rate Initial Production (LRIP), and/or Operations/Sustainment program phases. Substantial full lifecycle DOD experience architecting and implementing complex systems or system-of-systems solutions, systems engineering integration and test (SEIT), and leading teams to develop technical solutions across software, custom mission hardware, cloud, networking, and cybersecurity domains. Proven technical leadership skills, including the ability to set architectural direction, influence technical decisions, and drive closure on complex issues through RCA across multi-disciplinary teams. Demonstrated ability to represent organizational capabilities to customers, end users, and external stakeholders. Demonstrated experience leading Agile development efforts. Ability to travel up to 50% to support team in Cincinnati, Ohio Preferred Qualifications Notable expertise developing, complex system architectures including any of these specialty areas: EO/IR sensor systems, RF sensor systems, AWS GovCloud networks, sensor data fusion, exploitation algorithms, or data processing/visualization solutions. Demonstrated experience integrating solutions across multiple classified and unclassified government networks. Experience with Model-Based Systems Engineering (MBSE), including SysML, UAF, and MBSE tools (e.g., Cameo Enterprise Architect, IBM Rhapsody); developing system models, traceability matrices, and verification cross-reference artifacts. Experience implementing or working within the Scaled Agile Framework (SAFe), including participation in PI planning, architecture runway definition, and coordination with Release Trains. Experience with Risk Management Framework (RMF), tailoring architecture and technical solutions to comply with NIST security controls in support of achieving Authority to Operate (ATO). Strong interpersonal and collaboration skills Strong analytical and problem-solving. Effective written and verbal communication skills Primary Level Salary Range: $192,800.00 - $289,200.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
11/03/2026
Full time
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Top Secret TRAVEL: Yes, 50% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. We are seeking an experienced and mission-focused Sr. Staff Systems Architect - System-of-Systems to support, Neptune Phoenix, a complex defense program delivering next-generation technical collection capabilities to our customers. The successful candidate will serve as the lead architect for software-intensive, cloud-enabled hardware systems and will be responsible for defining, communicating, and guiding the end-to-end technical architecture across on-premises, tactical, and secure AWS cloud environments. The Neptune Phoenix program provides sustainment for an existing prototype portfolio while driving development, production, and operational support for the next generation of technical collection capabilities. The team designs and integrates ground and platform-based collection systems built on Model-Based Systems Engineering (MBSE), open architectures, and open standards. The Sr. Staff Systems Architect will play a central role in shaping the system-of-systems architecture, ensuring interoperability across diverse hardware capabilities, and aligning technical solutions with evolving mission needs, performance objectives, and cyber-resilience requirements. Essential Duties and Responsibilities Capture, derive, and decompose system-of-systems architecture from high-level Concepts of Operations (CONOPS) and Operations Concepts (OPSCON) and disseminate architectural guidance to multiple integrated teams to ensure alignment with the overarching architecture. Lead cross-project technical alignment, driving common architecture patterns, interfaces, and reusable design solutions across multiple projects and product lines. Create, evolve, and maintain system architecture artifacts, including system block diagrams, interface definitions, data flows, and common program design solutions using MBSE methods and tools. Evolve and enhance a customer's suite of disparate capabilities into an integrated system of systems that satisfies current and emerging mission objectives for capability, availability, reliability, performance, and security. Partner with the Chief Engineer, program management, and engineering leads to define technical roadmaps, architectural trade spaces, and modernization strategies that balance mission effectiveness, cost, schedule, and risk. Support technical discussions with the customer, including presenting architecture options, trade studies, and technical decision packages. Guide technical implementation across software, custom mission hardware, cloud infrastructure, networking, and cybersecurity domains, ensuring architectural integrity and consistency with open architecture and open standards principles. Collaborate with Systems Engineering, Integration & Test, Software, Hardware, Cybersecurity, and Specialty Engineering teams to ensure design decisions, interfaces, and implementations remain aligned with the baseline architecture. Champion Agile and SAFe-aligned practices within the architecture and engineering teams, ensuring that architecture epics, features, and enablers are well-defined and support iterative delivery of capability. Basic Qualifications Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, Systems Engineering, or other STEM field with 14 years of related experience; OR Master's degree in a STEM field with 12 years of related experience; OR PhD in a STEM field with 10 years of related experience. Active U.S. Government Top Secret security clearance with SCI eligibility. U.S. Citizenship is required Significant engineering experience within a defense contractor supporting Engineering and Manufacturing Development (EMD), Low-Rate Initial Production (LRIP), and/or Operations/Sustainment program phases. Substantial full lifecycle DOD experience architecting and implementing complex systems or system-of-systems solutions, systems engineering integration and test (SEIT), and leading teams to develop technical solutions across software, custom mission hardware, cloud, networking, and cybersecurity domains. Proven technical leadership skills, including the ability to set architectural direction, influence technical decisions, and drive closure on complex issues through RCA across multi-disciplinary teams. Demonstrated ability to represent organizational capabilities to customers, end users, and external stakeholders. Demonstrated experience leading Agile development efforts. Ability to travel up to 50% to support team in Cincinnati, Ohio Preferred Qualifications Notable expertise developing, complex system architectures including any of these specialty areas: EO/IR sensor systems, RF sensor systems, AWS GovCloud networks, sensor data fusion, exploitation algorithms, or data processing/visualization solutions. Demonstrated experience integrating solutions across multiple classified and unclassified government networks. Experience with Model-Based Systems Engineering (MBSE), including SysML, UAF, and MBSE tools (e.g., Cameo Enterprise Architect, IBM Rhapsody); developing system models, traceability matrices, and verification cross-reference artifacts. Experience implementing or working within the Scaled Agile Framework (SAFe), including participation in PI planning, architecture runway definition, and coordination with Release Trains. Experience with Risk Management Framework (RMF), tailoring architecture and technical solutions to comply with NIST security controls in support of achieving Authority to Operate (ATO). Strong interpersonal and collaboration skills Strong analytical and problem-solving. Effective written and verbal communication skills Primary Level Salary Range: $192,800.00 - $289,200.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
Reinventing Geospatial, Inc. (RGi)
Herndon, Virginia
Job Description Job Description Reinventing Geospatial (RGi) is a leading expert in geospatial solutions for Defense, Intelligence, and Federal clients. We enhance situational awareness for soldiers and analysts by integrating software development with geospatial intelligence. Our projects range from data collection to advanced deep learning, leveraging tools like Python, Java, and ArcGIS. We don't just fill roles we build teams of high performers and leaders who make an immediate impact. At our core, we're driven by innovation and powered by people who work at the intersection of passion and performance. Here, you'll collaborate with bold thinkers, leverage cutting edge technology, and tackle meaningful challenges from day one. Our culture is defined and anchored by three pillars: Energy: We bring passion, purpose, and urgency to our work. Edge: We take initiative, embrace growth, and step outside our comfort zone. Execution: We get things done smartly, decisively, and with real results. If you're the kind of person who leads with initiative, thrives in a fast-paced environment, and is eager to create real impact, we want you on our team. Clearance: Active Top Secret clearance with an ability to obtain SCI access and willingness to obtain CI Polygraph US Citizenship Required As a DevOps Engineer, you will Support the sustainment, maintenance, and ongoing enhancement of the NOME environment. Perform system maintenance, updates, configuration changes, and troubleshooting across DevOps infrastructure and tooling. Support the development and integration of new capabilities and environments. Design, maintain, and improve CI/CD pipelines to support reliable and efficient software delivery. Support AWS architecture, infrastructure, and cloud-based environments. Work extensively within Linux environments to administer, troubleshoot, automate, and optimize systems. Identify opportunities to improve system architecture, performance, reliability, automation, and operational efficiency. Provide technical recommendations for architectural improvements and modernization. Collaborate with engineering, development, security, and operations teams to ensure successful integration of new capabilities. Implement and maintain security hardening measures in accordance with applicable security requirements. Support security assessments, remediation activities, and preparation for ATO. Ensure system configurations and processes align with applicable NGA security requirements and standards. Troubleshoot complex infrastructure and deployment issues and develop sustainable solutions. Contribute to documentation, technical processes, and best practices supporting NOME sustainment and development. DevOps Engineer Qualifications Active TS/SCI clearance required. Bachelor's degree required. 15+ years of professional experience in DevOps, systems engineering, cloud engineering, infrastructure, or a related technical field. Security+ certification required. Strong experience with Linux operating systems and administration. Demonstrated experience developing, maintaining, and troubleshooting CI/CD pipelines. Experience with AWS architecture and cloud environments. Experience supporting system sustainment, maintenance, configuration, and upgrades in complex environments. Strong understanding of DevOps principles, automation, infrastructure management, and software delivery practices. Ability to identify technical risks and recommend practical architectural and operational improvements. Experience working in environments with stringent security and compliance requirements. Strong troubleshooting and problem-solving skills. Ability to work independently while collaborating effectively with a multidisciplinary technical team. Strong written and verbal communication skills. Additional Skills We'd Like to See: Familiarity with NGA systems, mission environments, and security requirements. Previous experience supporting NGA programs or environments. Experience preparing systems for ATO and supporting RMF-related activities. Experience with security hardening and vulnerability remediation in Linux and AWS environments. Experience with AWS infrastructure automation and Infrastructure as Code (IaC). Experience with tools and technologies supporting automated deployment, configuration management, monitoring, and infrastructure provisioning. Experience integrating existing systems with new capabilities and environments. Experience providing architectural recommendations and driving improvements in system efficiency, reliability, and scalability. Experience working in an IC or other highly regulated government environment. Salary commensurate with experience. Who we are: Reinventing Geospatial, Inc. (RGi) is a fast-paced small business that has the environment and culture of a start-up, with the stability and benefits of a well-established firm. We solve complex problems within geospatial software development and national defense to make an Immediate Impact for our nation's soldiers and analysts. We pride ourselves on giving employees an exceptional life experience, where creativity thrives, and challenges are simply part of the fun. We provide truly excellent benefits, including: 100% paid employee healthcare & dental insurance Paid parental leave 401k with matching Escalating vacation time Referral bonuses Tuition reimbursement Professional development training Free beverages and snacks Weekly catered lunches and breakfast on Fridays Grow to be our next leader: At RGi, fostering a strong and organic corporate culture is paramount and serves as a compass on the decisions we make and how we operate the company. We believe our culture of camaraderie, innovation, and collaboration reflects the caliber of our employees and their dedication to the mission of providing quality software to our customers. As such, we want our employees to feel empowered to seek growth and leadership opportunities within the company and position us to maintain our culture as we grow. RGi provides opportunities, resources, training, and mentorship to all our employees to let them take control of their careers and become a leader or a crucial member of our company. If this is what you are looking for in a company, then you are what we are looking for in an employee. Reinventing Geospatial, Inc. is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, sex, national origin, age, veteran status, disability, or any other protected class. U.S. Citizenship is required for all positions. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
11/03/2026
Full time
Job Description Job Description Reinventing Geospatial (RGi) is a leading expert in geospatial solutions for Defense, Intelligence, and Federal clients. We enhance situational awareness for soldiers and analysts by integrating software development with geospatial intelligence. Our projects range from data collection to advanced deep learning, leveraging tools like Python, Java, and ArcGIS. We don't just fill roles we build teams of high performers and leaders who make an immediate impact. At our core, we're driven by innovation and powered by people who work at the intersection of passion and performance. Here, you'll collaborate with bold thinkers, leverage cutting edge technology, and tackle meaningful challenges from day one. Our culture is defined and anchored by three pillars: Energy: We bring passion, purpose, and urgency to our work. Edge: We take initiative, embrace growth, and step outside our comfort zone. Execution: We get things done smartly, decisively, and with real results. If you're the kind of person who leads with initiative, thrives in a fast-paced environment, and is eager to create real impact, we want you on our team. Clearance: Active Top Secret clearance with an ability to obtain SCI access and willingness to obtain CI Polygraph US Citizenship Required As a DevOps Engineer, you will Support the sustainment, maintenance, and ongoing enhancement of the NOME environment. Perform system maintenance, updates, configuration changes, and troubleshooting across DevOps infrastructure and tooling. Support the development and integration of new capabilities and environments. Design, maintain, and improve CI/CD pipelines to support reliable and efficient software delivery. Support AWS architecture, infrastructure, and cloud-based environments. Work extensively within Linux environments to administer, troubleshoot, automate, and optimize systems. Identify opportunities to improve system architecture, performance, reliability, automation, and operational efficiency. Provide technical recommendations for architectural improvements and modernization. Collaborate with engineering, development, security, and operations teams to ensure successful integration of new capabilities. Implement and maintain security hardening measures in accordance with applicable security requirements. Support security assessments, remediation activities, and preparation for ATO. Ensure system configurations and processes align with applicable NGA security requirements and standards. Troubleshoot complex infrastructure and deployment issues and develop sustainable solutions. Contribute to documentation, technical processes, and best practices supporting NOME sustainment and development. DevOps Engineer Qualifications Active TS/SCI clearance required. Bachelor's degree required. 15+ years of professional experience in DevOps, systems engineering, cloud engineering, infrastructure, or a related technical field. Security+ certification required. Strong experience with Linux operating systems and administration. Demonstrated experience developing, maintaining, and troubleshooting CI/CD pipelines. Experience with AWS architecture and cloud environments. Experience supporting system sustainment, maintenance, configuration, and upgrades in complex environments. Strong understanding of DevOps principles, automation, infrastructure management, and software delivery practices. Ability to identify technical risks and recommend practical architectural and operational improvements. Experience working in environments with stringent security and compliance requirements. Strong troubleshooting and problem-solving skills. Ability to work independently while collaborating effectively with a multidisciplinary technical team. Strong written and verbal communication skills. Additional Skills We'd Like to See: Familiarity with NGA systems, mission environments, and security requirements. Previous experience supporting NGA programs or environments. Experience preparing systems for ATO and supporting RMF-related activities. Experience with security hardening and vulnerability remediation in Linux and AWS environments. Experience with AWS infrastructure automation and Infrastructure as Code (IaC). Experience with tools and technologies supporting automated deployment, configuration management, monitoring, and infrastructure provisioning. Experience integrating existing systems with new capabilities and environments. Experience providing architectural recommendations and driving improvements in system efficiency, reliability, and scalability. Experience working in an IC or other highly regulated government environment. Salary commensurate with experience. Who we are: Reinventing Geospatial, Inc. (RGi) is a fast-paced small business that has the environment and culture of a start-up, with the stability and benefits of a well-established firm. We solve complex problems within geospatial software development and national defense to make an Immediate Impact for our nation's soldiers and analysts. We pride ourselves on giving employees an exceptional life experience, where creativity thrives, and challenges are simply part of the fun. We provide truly excellent benefits, including: 100% paid employee healthcare & dental insurance Paid parental leave 401k with matching Escalating vacation time Referral bonuses Tuition reimbursement Professional development training Free beverages and snacks Weekly catered lunches and breakfast on Fridays Grow to be our next leader: At RGi, fostering a strong and organic corporate culture is paramount and serves as a compass on the decisions we make and how we operate the company. We believe our culture of camaraderie, innovation, and collaboration reflects the caliber of our employees and their dedication to the mission of providing quality software to our customers. As such, we want our employees to feel empowered to seek growth and leadership opportunities within the company and position us to maintain our culture as we grow. RGi provides opportunities, resources, training, and mentorship to all our employees to let them take control of their careers and become a leader or a crucial member of our company. If this is what you are looking for in a company, then you are what we are looking for in an employee. Reinventing Geospatial, Inc. is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, sex, national origin, age, veteran status, disability, or any other protected class. U.S. Citizenship is required for all positions. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Job Description Job Description Implementing the Microsoft Defender solution and supporting the transition to emerging Microsoft technologies. Experience with the Microsoft Defender Suite including Microsoft Defender for Endpoint (MDE), Microsoft Defender for Office (MDO), Defender Cloud Apps (MDCA), and Mobile Threat Defender (MTD) is needed, and to assist with deployment of complex architectures based on Microsoft Intune, Endpoint manager, and 365 Defender center. In addition to implementing the Microsoft Defender solution including MDE, MDO, MDCA, and MTD, this position will be responsible for developing SOPs/TTPS for maintaining agent handlers, repositories, Microsoft Intune, Microsoft 365 Defender, and Microsoft Defender for Cloud Apps and support the transition from DoD Enterprise Capabilities to emerging Microsoft technologies. This position will deploy complex architectures based on Microsoft Intune, Endpoint manager, and 365 Defender center, coordinating efforts to test and verify solutions for future implementation. This position requires the ability to work core hours between 6:00 am to 6:00 pm during the week and participate in on-call rotation for after-hours support. Requirements Experience with Microsoft Intune and Microsoft Defender Experience with server management, including virtualization, and Windows server administration Experience with scripting languages, including PowerShell and KQL Experience with Azure in hybrid environments, Active Directory on prem and cloud, and Group Policies Experience with end user technology deployments and upgrades Experience with supporting Microsoft Defender for Endpoint (MDE), Microsoft Defender for Office (MDO), Microsoft Defender for Cloud and Sentinel, Microsoft Defender for Endpoint Mobile Threat Defense (MTD), Microsoft Endpoint Manager Admin Center, Microsoft Security Administration, Microsoft Office 365, and Microsoft Configuration management service center Active TS/SCI clearance; willingness to take a polygraph exam HS diploma or GED and 7+ years of experience with supporting IT projects and activities, Associate's degree and 5+ years of experience with supporting IT projects and activities, or Bachelor's degree and 3+ years of experience with supporting IT projects and activities DoD 8570 IAT Level II Certification, including CCNA-Security, CySA+, GICSP, GSEC, Security+ CE, CND, or SSCP Certification Ability to obtain a DoD 8570.01-M Cybersecurity Service Provider - Infrastructure Support Certification, including CEH, CySA+, GICSP, SSCP, CHFI, CFR, Cloud+, or CND Certification within 60 days of start date Optional Qualifications: Experience in managing and administrating systems associated with software deployments, patches, and scripts to a large enterprise environment Experience in collaborating with peers and managers to identify, manage, and generate appropriate reporting and metrics standards based on deployments and management needs Experience with managing complex IT projects involving multiple teams or organizations Experience with tracking and resolving incidents via ticket queue Experience with providing hands on PC and mobile support to end users Ability to be an active member and solve problems by recommending outside-the-box, cost effective solutions Ability to pay strict attention to detail Possession of excellent written and verbal communication and interpersonal skills Benefits Essential Network Security (ENS) Solutions, LLC is a service-disabled veteran owned, highly regarded IT consulting and management firm. ENS consults for the Department of Defense (DoD) and Intelligence Community (IC) providing innovative solutions in the core competency area of Identity, Credential and Access Management (ICAM), Software Development, Cyber and Network Security, System Engineering, Program/Project Management, IT support, Solutions, and Services that yield enduring results. Our strong technical and management experts have been able to maintain a standard of excellence in their relationships while delivering innovative, scalable and collaborative infrastructure to our clients. Why ENS? Free Platinum-Level Medical/Dental/Vision coverage, 100% paid for by ENS 401k Contribution from Day 1 PTO + 11 Paid Federal Holidays Long & Short Term Disability Insurance Group Term Life Insurance Tuition, Certification & Professional Development Assistance Workers' Compensation Relocation Assistance Candidate AI Usage Policy AI tools are an important part of daily work at ENS Solutions, and we are committed to their responsible and ethical use. To ensure a fair and equitable candidate evaluation based on individual skills, knowledge, and experience, candidates are not permitted to use artificial intelligence or other assistive tools during interviews, whether in person or virtual, unless explicit permission has been granted in advance.
11/03/2026
Full time
Job Description Job Description Implementing the Microsoft Defender solution and supporting the transition to emerging Microsoft technologies. Experience with the Microsoft Defender Suite including Microsoft Defender for Endpoint (MDE), Microsoft Defender for Office (MDO), Defender Cloud Apps (MDCA), and Mobile Threat Defender (MTD) is needed, and to assist with deployment of complex architectures based on Microsoft Intune, Endpoint manager, and 365 Defender center. In addition to implementing the Microsoft Defender solution including MDE, MDO, MDCA, and MTD, this position will be responsible for developing SOPs/TTPS for maintaining agent handlers, repositories, Microsoft Intune, Microsoft 365 Defender, and Microsoft Defender for Cloud Apps and support the transition from DoD Enterprise Capabilities to emerging Microsoft technologies. This position will deploy complex architectures based on Microsoft Intune, Endpoint manager, and 365 Defender center, coordinating efforts to test and verify solutions for future implementation. This position requires the ability to work core hours between 6:00 am to 6:00 pm during the week and participate in on-call rotation for after-hours support. Requirements Experience with Microsoft Intune and Microsoft Defender Experience with server management, including virtualization, and Windows server administration Experience with scripting languages, including PowerShell and KQL Experience with Azure in hybrid environments, Active Directory on prem and cloud, and Group Policies Experience with end user technology deployments and upgrades Experience with supporting Microsoft Defender for Endpoint (MDE), Microsoft Defender for Office (MDO), Microsoft Defender for Cloud and Sentinel, Microsoft Defender for Endpoint Mobile Threat Defense (MTD), Microsoft Endpoint Manager Admin Center, Microsoft Security Administration, Microsoft Office 365, and Microsoft Configuration management service center Active TS/SCI clearance; willingness to take a polygraph exam HS diploma or GED and 7+ years of experience with supporting IT projects and activities, Associate's degree and 5+ years of experience with supporting IT projects and activities, or Bachelor's degree and 3+ years of experience with supporting IT projects and activities DoD 8570 IAT Level II Certification, including CCNA-Security, CySA+, GICSP, GSEC, Security+ CE, CND, or SSCP Certification Ability to obtain a DoD 8570.01-M Cybersecurity Service Provider - Infrastructure Support Certification, including CEH, CySA+, GICSP, SSCP, CHFI, CFR, Cloud+, or CND Certification within 60 days of start date Optional Qualifications: Experience in managing and administrating systems associated with software deployments, patches, and scripts to a large enterprise environment Experience in collaborating with peers and managers to identify, manage, and generate appropriate reporting and metrics standards based on deployments and management needs Experience with managing complex IT projects involving multiple teams or organizations Experience with tracking and resolving incidents via ticket queue Experience with providing hands on PC and mobile support to end users Ability to be an active member and solve problems by recommending outside-the-box, cost effective solutions Ability to pay strict attention to detail Possession of excellent written and verbal communication and interpersonal skills Benefits Essential Network Security (ENS) Solutions, LLC is a service-disabled veteran owned, highly regarded IT consulting and management firm. ENS consults for the Department of Defense (DoD) and Intelligence Community (IC) providing innovative solutions in the core competency area of Identity, Credential and Access Management (ICAM), Software Development, Cyber and Network Security, System Engineering, Program/Project Management, IT support, Solutions, and Services that yield enduring results. Our strong technical and management experts have been able to maintain a standard of excellence in their relationships while delivering innovative, scalable and collaborative infrastructure to our clients. Why ENS? Free Platinum-Level Medical/Dental/Vision coverage, 100% paid for by ENS 401k Contribution from Day 1 PTO + 11 Paid Federal Holidays Long & Short Term Disability Insurance Group Term Life Insurance Tuition, Certification & Professional Development Assistance Workers' Compensation Relocation Assistance Candidate AI Usage Policy AI tools are an important part of daily work at ENS Solutions, and we are committed to their responsible and ethical use. To ensure a fair and equitable candidate evaluation based on individual skills, knowledge, and experience, candidates are not permitted to use artificial intelligence or other assistive tools during interviews, whether in person or virtual, unless explicit permission has been granted in advance.
Job Description Job Description AHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of digital transformation. At AHEAD, we prioritize creating a culture of belonging, where all perspectives and voices are represented, valued, respected, and heard. We create spaces to empower everyone to speak up, make change, and drive the culture at AHEAD. We are an equal opportunity employer, and do not discriminate based on an individual's race, national origin, color, gender, gender identity, gender expression, sexual orientation, religion, age, disability, marital status, or any other protected characteristic under applicable law, whether actual or perceived. We embrace all candidates that will contribute to the diversification and enrichment of ideas and perspectives at AHEAD. Troubleshoot, diagnose, and repair individual computer system components, completed computer systems, network equipment, and other non-compute hardware. To follow the desired outcome of the server, components, or other hardware by setting up repair orders to carry out the required actions and capturing information with high detail. Duties/Responsibilities Troubleshoot and diagnose defective hardware in computer systems. Follow reset instructions for edge/accessory hardware (i.e. POS systems, network switches, tablets). Document detailed notes of troubleshooting steps and resolutions. Manage and adjust inventory for returned components and/or replacement parts. Generate repair orders to carry out the requested outcomes for systems or components, including shipping and stocking. Perform inventory transactions for stocking or corrective action reasoning. Report defects identified by end users or shipping carriers on systems or components returned to AHEAD. Assist in preventative/corrective processes and their evolution. Provide the manufacturing teams with system diagnoses and fully functional systems when needed, unless otherwise noted. Provide information to the documentation team on any relevant updates for returned systems. Assist the support team in testing and reviewing returned systems and components. Work with the support team on incident disposition and resolution for unknown or unexpected returns. Collaborate with the engineering team on troubleshooting resolutions beyond our scope. Work with the quality team on recurring issues and/or corrective actions. Contribute to the team by accomplishing necessary tasks as needed. Education and Experience Minimum Required: A high school diploma or GED, or an additional three years of related on-the-job experience. 3-5 years of experience in a computer hardware diagnostics environment. Preferred: Certifications in relevant hardware technologies (e.g., CompTIA Certifications, Dell EMC, HP, IBM). Familiarity with inventory management processes. Experience with order entry systems. Knowledge, Skills, Abilities Strong knowledge of server components and architecture. Experience working with both Windows and Linux-based operating systems. Solid understanding of computer networking principles. Strong communication skills, both verbal and written. Ability to work independently and as part of a team. Ability to manage complex situations. Problem resolution skills. Demonstrate persistence and patience in problem-solving. Physical Requirements The physical demands described below are representative of those that must be met by an employee to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform these essential functions, in accordance with the Americans with Disabilities Act (ADA), the Family Medical Leave Act (FMLA), and other applicable federal, state, and local laws. Performance of Essential Functions: Ability to safely and effectively perform all essential job functions listed herein while meeting established productivity and quality standards. Attendance: Ability to maintain regular and predictable attendance, consistent with ADA, FMLA, and other applicable requirements. Includes ability to safely and reliability travel to and from an office and/or client work site, as required. Work Environment: Ability to perform job duties at customer sites or in data center environments which may include: Standing, walking, bending, and lifting or moving equipment weight up to fifty (50) pounds. Working in areas with fluctuating temperatures, including warm and cold environments, both indoors and outdoors. Exposure to production environments that may include higher noise levels, bright lighting, and varying airflow. The compensation range indicated in this posting reflects the On-Target Earnings ("OTE") for this role, which includes a base salary and any applicable target bonus amount. This OTE range may vary based on the candidate's relevant experience, qualifications, and geographic location. Why AHEAD: Through our daily work and internal groups like Moving Women AHEAD and RISE AHEAD, we value and benefit from diversity of people, ideas, experience, and everything in between. We fuel growth by stacking our office with top-notch technologies in a multi-million-dollar lab, by encouraging cross department training and development, sponsoring certifications and credentials for continued learning. USA Employment Benefits include: - Medical, Dental, and Vision Insurance - 401(k) - Paid company holidays - Paid time off - Paid parental and caregiver leave - Plus more! See benefits for additional details. Use of AI: We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, assessing responses, or to capture recordings and create transcriptions or summaries during interviews. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please refer to the Candidate Privacy Notice or contact us at . You may opt-out of the review or analysis of your application and resume by AI tools by using the General Application. Please include the role you wish to apply for in the Additional Information field. You may also choose to opt-out of recording and transcription at any time, including after joining an interview. Candidates will not be penalized for choosing to opt-out. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
11/03/2026
Full time
Job Description Job Description AHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of digital transformation. At AHEAD, we prioritize creating a culture of belonging, where all perspectives and voices are represented, valued, respected, and heard. We create spaces to empower everyone to speak up, make change, and drive the culture at AHEAD. We are an equal opportunity employer, and do not discriminate based on an individual's race, national origin, color, gender, gender identity, gender expression, sexual orientation, religion, age, disability, marital status, or any other protected characteristic under applicable law, whether actual or perceived. We embrace all candidates that will contribute to the diversification and enrichment of ideas and perspectives at AHEAD. Troubleshoot, diagnose, and repair individual computer system components, completed computer systems, network equipment, and other non-compute hardware. To follow the desired outcome of the server, components, or other hardware by setting up repair orders to carry out the required actions and capturing information with high detail. Duties/Responsibilities Troubleshoot and diagnose defective hardware in computer systems. Follow reset instructions for edge/accessory hardware (i.e. POS systems, network switches, tablets). Document detailed notes of troubleshooting steps and resolutions. Manage and adjust inventory for returned components and/or replacement parts. Generate repair orders to carry out the requested outcomes for systems or components, including shipping and stocking. Perform inventory transactions for stocking or corrective action reasoning. Report defects identified by end users or shipping carriers on systems or components returned to AHEAD. Assist in preventative/corrective processes and their evolution. Provide the manufacturing teams with system diagnoses and fully functional systems when needed, unless otherwise noted. Provide information to the documentation team on any relevant updates for returned systems. Assist the support team in testing and reviewing returned systems and components. Work with the support team on incident disposition and resolution for unknown or unexpected returns. Collaborate with the engineering team on troubleshooting resolutions beyond our scope. Work with the quality team on recurring issues and/or corrective actions. Contribute to the team by accomplishing necessary tasks as needed. Education and Experience Minimum Required: A high school diploma or GED, or an additional three years of related on-the-job experience. 3-5 years of experience in a computer hardware diagnostics environment. Preferred: Certifications in relevant hardware technologies (e.g., CompTIA Certifications, Dell EMC, HP, IBM). Familiarity with inventory management processes. Experience with order entry systems. Knowledge, Skills, Abilities Strong knowledge of server components and architecture. Experience working with both Windows and Linux-based operating systems. Solid understanding of computer networking principles. Strong communication skills, both verbal and written. Ability to work independently and as part of a team. Ability to manage complex situations. Problem resolution skills. Demonstrate persistence and patience in problem-solving. Physical Requirements The physical demands described below are representative of those that must be met by an employee to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform these essential functions, in accordance with the Americans with Disabilities Act (ADA), the Family Medical Leave Act (FMLA), and other applicable federal, state, and local laws. Performance of Essential Functions: Ability to safely and effectively perform all essential job functions listed herein while meeting established productivity and quality standards. Attendance: Ability to maintain regular and predictable attendance, consistent with ADA, FMLA, and other applicable requirements. Includes ability to safely and reliability travel to and from an office and/or client work site, as required. Work Environment: Ability to perform job duties at customer sites or in data center environments which may include: Standing, walking, bending, and lifting or moving equipment weight up to fifty (50) pounds. Working in areas with fluctuating temperatures, including warm and cold environments, both indoors and outdoors. Exposure to production environments that may include higher noise levels, bright lighting, and varying airflow. The compensation range indicated in this posting reflects the On-Target Earnings ("OTE") for this role, which includes a base salary and any applicable target bonus amount. This OTE range may vary based on the candidate's relevant experience, qualifications, and geographic location. Why AHEAD: Through our daily work and internal groups like Moving Women AHEAD and RISE AHEAD, we value and benefit from diversity of people, ideas, experience, and everything in between. We fuel growth by stacking our office with top-notch technologies in a multi-million-dollar lab, by encouraging cross department training and development, sponsoring certifications and credentials for continued learning. USA Employment Benefits include: - Medical, Dental, and Vision Insurance - 401(k) - Paid company holidays - Paid time off - Paid parental and caregiver leave - Plus more! See benefits for additional details. Use of AI: We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, assessing responses, or to capture recordings and create transcriptions or summaries during interviews. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please refer to the Candidate Privacy Notice or contact us at . You may opt-out of the review or analysis of your application and resume by AI tools by using the General Application. Please include the role you wish to apply for in the Additional Information field. You may also choose to opt-out of recording and transcription at any time, including after joining an interview. Candidates will not be penalized for choosing to opt-out. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Job Description Job Description Implementing the Microsoft Defender solution and supporting the transition to emerging Microsoft technologies. Experience with the Microsoft Defender Suite including Microsoft Defender for Endpoint (MDE), Microsoft Defender for Office (MDO), Defender Cloud Apps (MDCA), and Mobile Threat Defender (MTD) is needed, and to assist with deployment of complex architectures based on Microsoft Intune, Endpoint manager, and 365 Defender center. In addition to implementing the Microsoft Defender solution including MDE, MDO, MDCA, and MTD, this position will be responsible for developing SOPs/TTPS for maintaining agent handlers, repositories, Microsoft Intune, Microsoft 365 Defender, and Microsoft Defender for Cloud Apps and support the transition from DoD Enterprise Capabilities to emerging Microsoft technologies. This position will deploy complex architectures based on Microsoft Intune, Endpoint manager, and 365 Defender center, coordinating efforts to test and verify solutions for future implementation. This position requires the ability to work core hours between 6:00 am to 6:00 pm during the week and participate in on-call rotation for after-hours support. Requirements Experience with Microsoft Intune and Microsoft Defender Experience with server management, including virtualization, and Windows server administration Experience with scripting languages, including PowerShell and KQL Experience with Azure in hybrid environments, Active Directory on prem and cloud, and Group Policies Experience with end user technology deployments and upgrades Experience with supporting Microsoft Defender for Endpoint (MDE), Microsoft Defender for Office (MDO), Microsoft Defender for Cloud and Sentinel, Microsoft Defender for Endpoint Mobile Threat Defense (MTD), Microsoft Endpoint Manager Admin Center, Microsoft Security Administration, Microsoft Office 365, and Microsoft Configuration management service center Active TS/SCI clearance; willingness to take a polygraph exam HS diploma or GED and 7+ years of experience with supporting IT projects and activities, Associate's degree and 5+ years of experience with supporting IT projects and activities, or Bachelor's degree and 3+ years of experience with supporting IT projects and activities DoD 8570 IAT Level II Certification, including CCNA-Security, CySA+, GICSP, GSEC, Security+ CE, CND, or SSCP Certification Ability to obtain a DoD 8570.01-M Cybersecurity Service Provider - Infrastructure Support Certification, including CEH, CySA+, GICSP, SSCP, CHFI, CFR, Cloud+, or CND Certification within 60 days of start date Optional Qualifications: Experience in managing and administrating systems associated with software deployments, patches, and scripts to a large enterprise environment Experience in collaborating with peers and managers to identify, manage, and generate appropriate reporting and metrics standards based on deployments and management needs Experience with managing complex IT projects involving multiple teams or organizations Experience with tracking and resolving incidents via ticket queue Experience with providing hands on PC and mobile support to end users Ability to be an active member and solve problems by recommending outside-the-box, cost effective solutions Ability to pay strict attention to detail Possession of excellent written and verbal communication and interpersonal skills Benefits Essential Network Security (ENS) Solutions, LLC is a service-disabled veteran owned, highly regarded IT consulting and management firm. ENS consults for the Department of Defense (DoD) and Intelligence Community (IC) providing innovative solutions in the core competency area of Identity, Credential and Access Management (ICAM), Software Development, Cyber and Network Security, System Engineering, Program/Project Management, IT support, Solutions, and Services that yield enduring results. Our strong technical and management experts have been able to maintain a standard of excellence in their relationships while delivering innovative, scalable and collaborative infrastructure to our clients. Why ENS? Free Platinum-Level Medical/Dental/Vision coverage, 100% paid for by ENS 401k Contribution from Day 1 PTO + 11 Paid Federal Holidays Long & Short Term Disability Insurance Group Term Life Insurance Tuition, Certification & Professional Development Assistance Workers' Compensation Relocation Assistance Candidate AI Usage Policy AI tools are an important part of daily work at ENS Solutions, and we are committed to their responsible and ethical use. To ensure a fair and equitable candidate evaluation based on individual skills, knowledge, and experience, candidates are not permitted to use artificial intelligence or other assistive tools during interviews, whether in person or virtual, unless explicit permission has been granted in advance.
11/03/2026
Full time
Job Description Job Description Implementing the Microsoft Defender solution and supporting the transition to emerging Microsoft technologies. Experience with the Microsoft Defender Suite including Microsoft Defender for Endpoint (MDE), Microsoft Defender for Office (MDO), Defender Cloud Apps (MDCA), and Mobile Threat Defender (MTD) is needed, and to assist with deployment of complex architectures based on Microsoft Intune, Endpoint manager, and 365 Defender center. In addition to implementing the Microsoft Defender solution including MDE, MDO, MDCA, and MTD, this position will be responsible for developing SOPs/TTPS for maintaining agent handlers, repositories, Microsoft Intune, Microsoft 365 Defender, and Microsoft Defender for Cloud Apps and support the transition from DoD Enterprise Capabilities to emerging Microsoft technologies. This position will deploy complex architectures based on Microsoft Intune, Endpoint manager, and 365 Defender center, coordinating efforts to test and verify solutions for future implementation. This position requires the ability to work core hours between 6:00 am to 6:00 pm during the week and participate in on-call rotation for after-hours support. Requirements Experience with Microsoft Intune and Microsoft Defender Experience with server management, including virtualization, and Windows server administration Experience with scripting languages, including PowerShell and KQL Experience with Azure in hybrid environments, Active Directory on prem and cloud, and Group Policies Experience with end user technology deployments and upgrades Experience with supporting Microsoft Defender for Endpoint (MDE), Microsoft Defender for Office (MDO), Microsoft Defender for Cloud and Sentinel, Microsoft Defender for Endpoint Mobile Threat Defense (MTD), Microsoft Endpoint Manager Admin Center, Microsoft Security Administration, Microsoft Office 365, and Microsoft Configuration management service center Active TS/SCI clearance; willingness to take a polygraph exam HS diploma or GED and 7+ years of experience with supporting IT projects and activities, Associate's degree and 5+ years of experience with supporting IT projects and activities, or Bachelor's degree and 3+ years of experience with supporting IT projects and activities DoD 8570 IAT Level II Certification, including CCNA-Security, CySA+, GICSP, GSEC, Security+ CE, CND, or SSCP Certification Ability to obtain a DoD 8570.01-M Cybersecurity Service Provider - Infrastructure Support Certification, including CEH, CySA+, GICSP, SSCP, CHFI, CFR, Cloud+, or CND Certification within 60 days of start date Optional Qualifications: Experience in managing and administrating systems associated with software deployments, patches, and scripts to a large enterprise environment Experience in collaborating with peers and managers to identify, manage, and generate appropriate reporting and metrics standards based on deployments and management needs Experience with managing complex IT projects involving multiple teams or organizations Experience with tracking and resolving incidents via ticket queue Experience with providing hands on PC and mobile support to end users Ability to be an active member and solve problems by recommending outside-the-box, cost effective solutions Ability to pay strict attention to detail Possession of excellent written and verbal communication and interpersonal skills Benefits Essential Network Security (ENS) Solutions, LLC is a service-disabled veteran owned, highly regarded IT consulting and management firm. ENS consults for the Department of Defense (DoD) and Intelligence Community (IC) providing innovative solutions in the core competency area of Identity, Credential and Access Management (ICAM), Software Development, Cyber and Network Security, System Engineering, Program/Project Management, IT support, Solutions, and Services that yield enduring results. Our strong technical and management experts have been able to maintain a standard of excellence in their relationships while delivering innovative, scalable and collaborative infrastructure to our clients. Why ENS? Free Platinum-Level Medical/Dental/Vision coverage, 100% paid for by ENS 401k Contribution from Day 1 PTO + 11 Paid Federal Holidays Long & Short Term Disability Insurance Group Term Life Insurance Tuition, Certification & Professional Development Assistance Workers' Compensation Relocation Assistance Candidate AI Usage Policy AI tools are an important part of daily work at ENS Solutions, and we are committed to their responsible and ethical use. To ensure a fair and equitable candidate evaluation based on individual skills, knowledge, and experience, candidates are not permitted to use artificial intelligence or other assistive tools during interviews, whether in person or virtual, unless explicit permission has been granted in advance.
Job Description Job Description Implementing the Microsoft Defender solution and supporting the transition to emerging Microsoft technologies. Experience with the Microsoft Defender Suite including Microsoft Defender for Endpoint (MDE), Microsoft Defender for Office (MDO), Defender Cloud Apps (MDCA), and Mobile Threat Defender (MTD) is needed, and to assist with deployment of complex architectures based on Microsoft Intune, Endpoint manager, and 365 Defender center. In addition to implementing the Microsoft Defender solution including MDE, MDO, MDCA, and MTD, this position will be responsible for developing SOPs/TTPS for maintaining agent handlers, repositories, Microsoft Intune, Microsoft 365 Defender, and Microsoft Defender for Cloud Apps and support the transition from DoD Enterprise Capabilities to emerging Microsoft technologies. This position will deploy complex architectures based on Microsoft Intune, Endpoint manager, and 365 Defender center, coordinating efforts to test and verify solutions for future implementation. This position requires the ability to work core hours between 6:00 am to 6:00 pm during the week and participate in on-call rotation for after-hours support. Requirements Experience with Microsoft Intune and Microsoft Defender Experience with server management, including virtualization, and Windows server administration Experience with scripting languages, including PowerShell and KQL Experience with Azure in hybrid environments, Active Directory on prem and cloud, and Group Policies Experience with end user technology deployments and upgrades Experience with supporting Microsoft Defender for Endpoint (MDE), Microsoft Defender for Office (MDO), Microsoft Defender for Cloud and Sentinel, Microsoft Defender for Endpoint Mobile Threat Defense (MTD), Microsoft Endpoint Manager Admin Center, Microsoft Security Administration, Microsoft Office 365, and Microsoft Configuration management service center Active TS/SCI clearance; willingness to take a polygraph exam HS diploma or GED and 7+ years of experience with supporting IT projects and activities, Associate's degree and 5+ years of experience with supporting IT projects and activities, or Bachelor's degree and 3+ years of experience with supporting IT projects and activities DoD 8570 IAT Level II Certification, including CCNA-Security, CySA+, GICSP, GSEC, Security+ CE, CND, or SSCP Certification Ability to obtain a DoD 8570.01-M Cybersecurity Service Provider - Infrastructure Support Certification, including CEH, CySA+, GICSP, SSCP, CHFI, CFR, Cloud+, or CND Certification within 60 days of start date Optional Qualifications: Experience in managing and administrating systems associated with software deployments, patches, and scripts to a large enterprise environment Experience in collaborating with peers and managers to identify, manage, and generate appropriate reporting and metrics standards based on deployments and management needs Experience with managing complex IT projects involving multiple teams or organizations Experience with tracking and resolving incidents via ticket queue Experience with providing hands on PC and mobile support to end users Ability to be an active member and solve problems by recommending outside-the-box, cost effective solutions Ability to pay strict attention to detail Possession of excellent written and verbal communication and interpersonal skills Benefits Essential Network Security (ENS) Solutions, LLC is a service-disabled veteran owned, highly regarded IT consulting and management firm. ENS consults for the Department of Defense (DoD) and Intelligence Community (IC) providing innovative solutions in the core competency area of Identity, Credential and Access Management (ICAM), Software Development, Cyber and Network Security, System Engineering, Program/Project Management, IT support, Solutions, and Services that yield enduring results. Our strong technical and management experts have been able to maintain a standard of excellence in their relationships while delivering innovative, scalable and collaborative infrastructure to our clients. Why ENS? Free Platinum-Level Medical/Dental/Vision coverage, 100% paid for by ENS 401k Contribution from Day 1 PTO + 11 Paid Federal Holidays Long & Short Term Disability Insurance Group Term Life Insurance Tuition, Certification & Professional Development Assistance Workers' Compensation Relocation Assistance Candidate AI Usage Policy AI tools are an important part of daily work at ENS Solutions, and we are committed to their responsible and ethical use. To ensure a fair and equitable candidate evaluation based on individual skills, knowledge, and experience, candidates are not permitted to use artificial intelligence or other assistive tools during interviews, whether in person or virtual, unless explicit permission has been granted in advance.
11/03/2026
Full time
Job Description Job Description Implementing the Microsoft Defender solution and supporting the transition to emerging Microsoft technologies. Experience with the Microsoft Defender Suite including Microsoft Defender for Endpoint (MDE), Microsoft Defender for Office (MDO), Defender Cloud Apps (MDCA), and Mobile Threat Defender (MTD) is needed, and to assist with deployment of complex architectures based on Microsoft Intune, Endpoint manager, and 365 Defender center. In addition to implementing the Microsoft Defender solution including MDE, MDO, MDCA, and MTD, this position will be responsible for developing SOPs/TTPS for maintaining agent handlers, repositories, Microsoft Intune, Microsoft 365 Defender, and Microsoft Defender for Cloud Apps and support the transition from DoD Enterprise Capabilities to emerging Microsoft technologies. This position will deploy complex architectures based on Microsoft Intune, Endpoint manager, and 365 Defender center, coordinating efforts to test and verify solutions for future implementation. This position requires the ability to work core hours between 6:00 am to 6:00 pm during the week and participate in on-call rotation for after-hours support. Requirements Experience with Microsoft Intune and Microsoft Defender Experience with server management, including virtualization, and Windows server administration Experience with scripting languages, including PowerShell and KQL Experience with Azure in hybrid environments, Active Directory on prem and cloud, and Group Policies Experience with end user technology deployments and upgrades Experience with supporting Microsoft Defender for Endpoint (MDE), Microsoft Defender for Office (MDO), Microsoft Defender for Cloud and Sentinel, Microsoft Defender for Endpoint Mobile Threat Defense (MTD), Microsoft Endpoint Manager Admin Center, Microsoft Security Administration, Microsoft Office 365, and Microsoft Configuration management service center Active TS/SCI clearance; willingness to take a polygraph exam HS diploma or GED and 7+ years of experience with supporting IT projects and activities, Associate's degree and 5+ years of experience with supporting IT projects and activities, or Bachelor's degree and 3+ years of experience with supporting IT projects and activities DoD 8570 IAT Level II Certification, including CCNA-Security, CySA+, GICSP, GSEC, Security+ CE, CND, or SSCP Certification Ability to obtain a DoD 8570.01-M Cybersecurity Service Provider - Infrastructure Support Certification, including CEH, CySA+, GICSP, SSCP, CHFI, CFR, Cloud+, or CND Certification within 60 days of start date Optional Qualifications: Experience in managing and administrating systems associated with software deployments, patches, and scripts to a large enterprise environment Experience in collaborating with peers and managers to identify, manage, and generate appropriate reporting and metrics standards based on deployments and management needs Experience with managing complex IT projects involving multiple teams or organizations Experience with tracking and resolving incidents via ticket queue Experience with providing hands on PC and mobile support to end users Ability to be an active member and solve problems by recommending outside-the-box, cost effective solutions Ability to pay strict attention to detail Possession of excellent written and verbal communication and interpersonal skills Benefits Essential Network Security (ENS) Solutions, LLC is a service-disabled veteran owned, highly regarded IT consulting and management firm. ENS consults for the Department of Defense (DoD) and Intelligence Community (IC) providing innovative solutions in the core competency area of Identity, Credential and Access Management (ICAM), Software Development, Cyber and Network Security, System Engineering, Program/Project Management, IT support, Solutions, and Services that yield enduring results. Our strong technical and management experts have been able to maintain a standard of excellence in their relationships while delivering innovative, scalable and collaborative infrastructure to our clients. Why ENS? Free Platinum-Level Medical/Dental/Vision coverage, 100% paid for by ENS 401k Contribution from Day 1 PTO + 11 Paid Federal Holidays Long & Short Term Disability Insurance Group Term Life Insurance Tuition, Certification & Professional Development Assistance Workers' Compensation Relocation Assistance Candidate AI Usage Policy AI tools are an important part of daily work at ENS Solutions, and we are committed to their responsible and ethical use. To ensure a fair and equitable candidate evaluation based on individual skills, knowledge, and experience, candidates are not permitted to use artificial intelligence or other assistive tools during interviews, whether in person or virtual, unless explicit permission has been granted in advance.
Job Description Job Description Job Title: Microsoft Endpoint & Workspace ONE Specialist Location: Reston, VA or Plano, TX Type: Permanent Full Time Compensation: $99,500.00 Work Model: Onsite - onsite Hours: 40.0 Security Clearance: Not specified Overview Leave placeholder text here for recruiter to input Responsibilities • Support and manage endpoint devices, mobile platforms, and enterprise mobility solutions within a cloud-first infrastructure • Troubleshoot endpoint and mobile device issues, including systems supporting Apple macOS environments and iOS/Android devices • Monitor system performance, compliance status, and operational health across enterprise environments • Analyze logs to identify incidents and collaborate with engineering and security teams to resolve issues • Maintain endpoint protection standards in partnership with security, engineering, and compliance teams • Document incidents, resolutions, and operational procedures with a focus on accuracy and detail • Support change management initiatives in a regulated financial services environment Requirements • Hands-on experience with Omnissa Workspace ONE and/or Microsoft Intune • Support and troubleshooting experience with Apple macOS environments • Mobile device management and support expertise for iOS and Android devices • Ability to monitor system performance, compliance status, and operational health • Experience analyzing logs and working with engineering teams to resolve incidents • Knowledge of endpoint security controls, policy enforcement, and compliance requirements • Strong troubleshooting and root cause analysis skills • Documenting incidents, resolutions, and operational procedures with attention to detail • Familiarity with IT Service Management (ITSM) processes and change management practices • Experience working in enterprise cloud environments, preferably AWS-based organizations • Knowledge of ServiceNow for incident, problem, and change management processes • Strong written and verbal communication skills Desired Skillset: • Relevant certifications such as Microsoft Intune, Workspace ONE, AWS Cloud Practitioner, or ITIL are a plus Education: Bachelor's degree in computer science, Information Systems, or a related field System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Pittsburgh
11/03/2026
Full time
Job Description Job Description Job Title: Microsoft Endpoint & Workspace ONE Specialist Location: Reston, VA or Plano, TX Type: Permanent Full Time Compensation: $99,500.00 Work Model: Onsite - onsite Hours: 40.0 Security Clearance: Not specified Overview Leave placeholder text here for recruiter to input Responsibilities • Support and manage endpoint devices, mobile platforms, and enterprise mobility solutions within a cloud-first infrastructure • Troubleshoot endpoint and mobile device issues, including systems supporting Apple macOS environments and iOS/Android devices • Monitor system performance, compliance status, and operational health across enterprise environments • Analyze logs to identify incidents and collaborate with engineering and security teams to resolve issues • Maintain endpoint protection standards in partnership with security, engineering, and compliance teams • Document incidents, resolutions, and operational procedures with a focus on accuracy and detail • Support change management initiatives in a regulated financial services environment Requirements • Hands-on experience with Omnissa Workspace ONE and/or Microsoft Intune • Support and troubleshooting experience with Apple macOS environments • Mobile device management and support expertise for iOS and Android devices • Ability to monitor system performance, compliance status, and operational health • Experience analyzing logs and working with engineering teams to resolve incidents • Knowledge of endpoint security controls, policy enforcement, and compliance requirements • Strong troubleshooting and root cause analysis skills • Documenting incidents, resolutions, and operational procedures with attention to detail • Familiarity with IT Service Management (ITSM) processes and change management practices • Experience working in enterprise cloud environments, preferably AWS-based organizations • Knowledge of ServiceNow for incident, problem, and change management processes • Strong written and verbal communication skills Desired Skillset: • Relevant certifications such as Microsoft Intune, Workspace ONE, AWS Cloud Practitioner, or ITIL are a plus Education: Bachelor's degree in computer science, Information Systems, or a related field System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Pittsburgh
This Jobot Job is hosted by: Craig Rosecrans Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $200,000 - $275,000 per year A bit about us: We are partnering with a rapidly growing, venture-backed technology company operating at the intersection of Artificial Intelligence and cybersecurity to hire an AI Solutions Architect focused on Federal customers. This is not a traditional Solutions Architect position where you simply deliver presentations and hand opportunities back to Engineering. We are looking for someone who can architect, build, deploy, demonstrate, and troubleshoot real AI solutions while working directly with mission owners across the Intelligence Community, Department of Defense, DHS, and civilian federal agencies. You will serve as the technical lead throughout the customer journey-from initial discovery and architecture discussions through proof-of-value, deployment, integration, and technical win. The right person will be equally comfortable writing Python, deploying Kubernetes into an air-gapped environment, building an AI proof of concept, whiteboarding an architecture, and presenting the solution to senior government stakeholders. Why join us? You'll join a well-funded, rapidly scaling company building technology in one of the most important emerging areas of cybersecurity: protecting AI systems themselves. The company has recently completed a significant new funding round and is continuing to expand its engineering, product, and federal organizations. The opportunity offers: Fully remote work within the United States Significant exposure to cutting-edge AI and cybersecurity technology Direct involvement with important federal AI initiatives High technical autonomy and ownership Opportunity to work closely with Product, Research, Engineering, and customers Flexible paid time off Company holidays Home-office and connectivity support Dedicated learning and development funding for training, certifications, conferences, and industry events If you're a deeply technical Solutions Architect who understands Federal missions, AI/ML, cloud-native infrastructure, and security-and you want to help solve the emerging challenge of securing AI systems-we'd love to speak with you. Job Details What You'll Do Lead Federal Technical Engagements: Partner with federal Account Directors to lead technical strategy across complex government opportunities. Conduct discovery with mission owners, AI/ML engineers, security teams, architects, and executive stakeholders. Understand customers' AI initiatives, architectures, data pipelines, infrastructure, security requirements, and compliance constraints. Translate loosely defined mission challenges into clearly scoped technical evaluations and proof-of-value engagements. Establish measurable success criteria, timelines, technical requirements, and exit conditions. Serve as a trusted technical advisor and provide candid guidance around where the platform is-and is not-the right solution. Architect & Deploy Real Solutions: Architect and deploy an enterprise AI security platform across both connected SaaS and fully disconnected/air-gapped environments. Package and transfer container images, Helm charts, dependencies, and supporting artifacts into environments with limited or no internet connectivity. Deploy and administer Kubernetes-based environments utilizing technologies such as: Kubernetes Docker Helm Private container registries OpenShift VMware / Proxmox AWS, including government and restricted environments Troubleshoot deployment, networking, integration, and infrastructure issues during customer evaluations and initial implementations. Work directly with SDKs and APIs to build meaningful integrations into customer environments. Build AI Demonstrations & Proofs of Concept: Develop mission-focused AI applications and technical demonstrations involving: Large Language Models Agentic AI Computer Vision Model inference Retrieval/RAG architectures AI/ML pipelines Demonstrate how AI systems can be attacked, compromised, or manipulated-and how those systems can be protected. Integrate AI security capabilities throughout the ML lifecycle, including model scanning, CI/CD pipelines, application security, runtime detection, and response. Build credible demonstrations that resonate with engineers and mission owners rather than relying on canned sales demos. Advise on AI Security: Help federal customers understand how to secure: AI/ML models LLM-powered applications AI agents Data and inference pipelines Model supply chains AI infrastructure Production AI workloads Apply established security concepts and frameworks including: MITRE ATLAS OWASP Top 10 for LLM Applications NIST AI Risk Management Framework Adversarial machine learning concepts and attack methodologies Communicate & Influence: Deliver live technical demonstrations, architecture sessions, whiteboard discussions, and executive briefings. Present effectively to audiences ranging from ML engineers and data scientists to cybersecurity leaders and senior executives. Create technical evaluation reports, reference architectures, deployment documentation, and integration guides. Represent the organization at federal engagements, conferences, webinars, and industry events. Translate lessons learned in the field into reusable demonstrations, technical enablement, and feedback for Product, Research, and Engineering. What We're Looking For We are looking for a highly technical, customer-facing architect who has actually worked inside federal environments and understands the realities of deploying sophisticated technology into government infrastructure. Ideal candidates will bring: 5+ years of experience in Solutions Architecture, Solutions Engineering, Applied AI Engineering, ML Engineering, or a similar customer-facing technical role. Direct experience supporting federal customers across the Intelligence Community, DoD, DHS, or civilian agencies. Experience operating within federal missions-not simply selling technology into federal accounts. Strong hands-on Python development skills. Practical experience building and integrating modern AI/ML systems. Experience with technologies and concepts such as: PyTorch Hugging Face ONNX LLM APIs Model inference RAG Agentic AI architectures AI/ML pipelines Strong hands-on experience with Docker, Kubernetes, and Helm. Experience deploying applications into restricted, disconnected, or air-gapped environments. Understanding of MLOps, CI/CD, and the lifecycle of models from development through production. Working knowledge of cybersecurity and AI security concepts. Strong technical presentation and communication skills. Ability to take an ambiguous customer problem and independently turn it into an executable technical plan. Ability and willingness to travel for customer engagements and industry events. Especially Valuable Experience: Additional experience in any of the following areas would be highly desirable: Active Top Secret or higher-level security clearance. Supporting AI/ML programs in classified environments. Securing production AI or machine-learning systems. AI/LLM red teaming or adversarial machine learning. AI security or AI evaluation tooling. Model formats and AI supply-chain security, including: ONNX SafeTensors GGUF Pickle-based serialization AWS GovCloud or other government cloud environments. OpenShift and private Kubernetes environments. Federal cybersecurity or compliance frameworks. Certifications such as Kubernetes, AWS, Azure, CISSP, or Security+. Public technical work including GitHub repositories, Hugging Face projects, conference presentations, open-source contributions, or technical writing. The Type of Person Who Will Thrive Here: This organization moves quickly and operates much more like a high-growth technology company than a traditional government contractor. We're looking for someone who enjoys solving problems without a perfectly defined playbook. You should be someone who can walk into an ambiguous federal mission problem, ask the right questions, architect a solution, stand up the environment, write the integration, demonstrate it live, troubleshoot what breaks, and explain the outcome to both engineers and executives. Intellectual curiosity is especially important. The strongest candidates are typically people who are constantly experimenting-building side projects, maintaining home labs, testing new AI frameworks, contributing to open source, publishing technical content, or simply teaching themselves technologies because they want to understand how they work. Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes . click apply for full job details
11/03/2026
Full time
This Jobot Job is hosted by: Craig Rosecrans Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $200,000 - $275,000 per year A bit about us: We are partnering with a rapidly growing, venture-backed technology company operating at the intersection of Artificial Intelligence and cybersecurity to hire an AI Solutions Architect focused on Federal customers. This is not a traditional Solutions Architect position where you simply deliver presentations and hand opportunities back to Engineering. We are looking for someone who can architect, build, deploy, demonstrate, and troubleshoot real AI solutions while working directly with mission owners across the Intelligence Community, Department of Defense, DHS, and civilian federal agencies. You will serve as the technical lead throughout the customer journey-from initial discovery and architecture discussions through proof-of-value, deployment, integration, and technical win. The right person will be equally comfortable writing Python, deploying Kubernetes into an air-gapped environment, building an AI proof of concept, whiteboarding an architecture, and presenting the solution to senior government stakeholders. Why join us? You'll join a well-funded, rapidly scaling company building technology in one of the most important emerging areas of cybersecurity: protecting AI systems themselves. The company has recently completed a significant new funding round and is continuing to expand its engineering, product, and federal organizations. The opportunity offers: Fully remote work within the United States Significant exposure to cutting-edge AI and cybersecurity technology Direct involvement with important federal AI initiatives High technical autonomy and ownership Opportunity to work closely with Product, Research, Engineering, and customers Flexible paid time off Company holidays Home-office and connectivity support Dedicated learning and development funding for training, certifications, conferences, and industry events If you're a deeply technical Solutions Architect who understands Federal missions, AI/ML, cloud-native infrastructure, and security-and you want to help solve the emerging challenge of securing AI systems-we'd love to speak with you. Job Details What You'll Do Lead Federal Technical Engagements: Partner with federal Account Directors to lead technical strategy across complex government opportunities. Conduct discovery with mission owners, AI/ML engineers, security teams, architects, and executive stakeholders. Understand customers' AI initiatives, architectures, data pipelines, infrastructure, security requirements, and compliance constraints. Translate loosely defined mission challenges into clearly scoped technical evaluations and proof-of-value engagements. Establish measurable success criteria, timelines, technical requirements, and exit conditions. Serve as a trusted technical advisor and provide candid guidance around where the platform is-and is not-the right solution. Architect & Deploy Real Solutions: Architect and deploy an enterprise AI security platform across both connected SaaS and fully disconnected/air-gapped environments. Package and transfer container images, Helm charts, dependencies, and supporting artifacts into environments with limited or no internet connectivity. Deploy and administer Kubernetes-based environments utilizing technologies such as: Kubernetes Docker Helm Private container registries OpenShift VMware / Proxmox AWS, including government and restricted environments Troubleshoot deployment, networking, integration, and infrastructure issues during customer evaluations and initial implementations. Work directly with SDKs and APIs to build meaningful integrations into customer environments. Build AI Demonstrations & Proofs of Concept: Develop mission-focused AI applications and technical demonstrations involving: Large Language Models Agentic AI Computer Vision Model inference Retrieval/RAG architectures AI/ML pipelines Demonstrate how AI systems can be attacked, compromised, or manipulated-and how those systems can be protected. Integrate AI security capabilities throughout the ML lifecycle, including model scanning, CI/CD pipelines, application security, runtime detection, and response. Build credible demonstrations that resonate with engineers and mission owners rather than relying on canned sales demos. Advise on AI Security: Help federal customers understand how to secure: AI/ML models LLM-powered applications AI agents Data and inference pipelines Model supply chains AI infrastructure Production AI workloads Apply established security concepts and frameworks including: MITRE ATLAS OWASP Top 10 for LLM Applications NIST AI Risk Management Framework Adversarial machine learning concepts and attack methodologies Communicate & Influence: Deliver live technical demonstrations, architecture sessions, whiteboard discussions, and executive briefings. Present effectively to audiences ranging from ML engineers and data scientists to cybersecurity leaders and senior executives. Create technical evaluation reports, reference architectures, deployment documentation, and integration guides. Represent the organization at federal engagements, conferences, webinars, and industry events. Translate lessons learned in the field into reusable demonstrations, technical enablement, and feedback for Product, Research, and Engineering. What We're Looking For We are looking for a highly technical, customer-facing architect who has actually worked inside federal environments and understands the realities of deploying sophisticated technology into government infrastructure. Ideal candidates will bring: 5+ years of experience in Solutions Architecture, Solutions Engineering, Applied AI Engineering, ML Engineering, or a similar customer-facing technical role. Direct experience supporting federal customers across the Intelligence Community, DoD, DHS, or civilian agencies. Experience operating within federal missions-not simply selling technology into federal accounts. Strong hands-on Python development skills. Practical experience building and integrating modern AI/ML systems. Experience with technologies and concepts such as: PyTorch Hugging Face ONNX LLM APIs Model inference RAG Agentic AI architectures AI/ML pipelines Strong hands-on experience with Docker, Kubernetes, and Helm. Experience deploying applications into restricted, disconnected, or air-gapped environments. Understanding of MLOps, CI/CD, and the lifecycle of models from development through production. Working knowledge of cybersecurity and AI security concepts. Strong technical presentation and communication skills. Ability to take an ambiguous customer problem and independently turn it into an executable technical plan. Ability and willingness to travel for customer engagements and industry events. Especially Valuable Experience: Additional experience in any of the following areas would be highly desirable: Active Top Secret or higher-level security clearance. Supporting AI/ML programs in classified environments. Securing production AI or machine-learning systems. AI/LLM red teaming or adversarial machine learning. AI security or AI evaluation tooling. Model formats and AI supply-chain security, including: ONNX SafeTensors GGUF Pickle-based serialization AWS GovCloud or other government cloud environments. OpenShift and private Kubernetes environments. Federal cybersecurity or compliance frameworks. Certifications such as Kubernetes, AWS, Azure, CISSP, or Security+. Public technical work including GitHub repositories, Hugging Face projects, conference presentations, open-source contributions, or technical writing. The Type of Person Who Will Thrive Here: This organization moves quickly and operates much more like a high-growth technology company than a traditional government contractor. We're looking for someone who enjoys solving problems without a perfectly defined playbook. You should be someone who can walk into an ambiguous federal mission problem, ask the right questions, architect a solution, stand up the environment, write the integration, demonstrate it live, troubleshoot what breaks, and explain the outcome to both engineers and executives. Intellectual curiosity is especially important. The strongest candidates are typically people who are constantly experimenting-building side projects, maintaining home labs, testing new AI frameworks, contributing to open source, publishing technical content, or simply teaching themselves technologies because they want to understand how they work. Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes . click apply for full job details
This Jobot Job is hosted by: Craig Rosecrans Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $200,000 - $275,000 per year A bit about us: We are partnering with a rapidly growing, venture-backed technology company operating at the intersection of Artificial Intelligence and cybersecurity to hire an AI Solutions Architect focused on Federal customers. This is not a traditional Solutions Architect position where you simply deliver presentations and hand opportunities back to Engineering. We are looking for someone who can architect, build, deploy, demonstrate, and troubleshoot real AI solutions while working directly with mission owners across the Intelligence Community, Department of Defense, DHS, and civilian federal agencies. You will serve as the technical lead throughout the customer journey-from initial discovery and architecture discussions through proof-of-value, deployment, integration, and technical win. The right person will be equally comfortable writing Python, deploying Kubernetes into an air-gapped environment, building an AI proof of concept, whiteboarding an architecture, and presenting the solution to senior government stakeholders. Why join us? You'll join a well-funded, rapidly scaling company building technology in one of the most important emerging areas of cybersecurity: protecting AI systems themselves. The company has recently completed a significant new funding round and is continuing to expand its engineering, product, and federal organizations. The opportunity offers: Fully remote work within the United States Significant exposure to cutting-edge AI and cybersecurity technology Direct involvement with important federal AI initiatives High technical autonomy and ownership Opportunity to work closely with Product, Research, Engineering, and customers Flexible paid time off Company holidays Home-office and connectivity support Dedicated learning and development funding for training, certifications, conferences, and industry events If you're a deeply technical Solutions Architect who understands Federal missions, AI/ML, cloud-native infrastructure, and security-and you want to help solve the emerging challenge of securing AI systems-we'd love to speak with you. Job Details What You'll Do Lead Federal Technical Engagements: Partner with federal Account Directors to lead technical strategy across complex government opportunities. Conduct discovery with mission owners, AI/ML engineers, security teams, architects, and executive stakeholders. Understand customers' AI initiatives, architectures, data pipelines, infrastructure, security requirements, and compliance constraints. Translate loosely defined mission challenges into clearly scoped technical evaluations and proof-of-value engagements. Establish measurable success criteria, timelines, technical requirements, and exit conditions. Serve as a trusted technical advisor and provide candid guidance around where the platform is-and is not-the right solution. Architect & Deploy Real Solutions: Architect and deploy an enterprise AI security platform across both connected SaaS and fully disconnected/air-gapped environments. Package and transfer container images, Helm charts, dependencies, and supporting artifacts into environments with limited or no internet connectivity. Deploy and administer Kubernetes-based environments utilizing technologies such as: Kubernetes Docker Helm Private container registries OpenShift VMware / Proxmox AWS, including government and restricted environments Troubleshoot deployment, networking, integration, and infrastructure issues during customer evaluations and initial implementations. Work directly with SDKs and APIs to build meaningful integrations into customer environments. Build AI Demonstrations & Proofs of Concept: Develop mission-focused AI applications and technical demonstrations involving: Large Language Models Agentic AI Computer Vision Model inference Retrieval/RAG architectures AI/ML pipelines Demonstrate how AI systems can be attacked, compromised, or manipulated-and how those systems can be protected. Integrate AI security capabilities throughout the ML lifecycle, including model scanning, CI/CD pipelines, application security, runtime detection, and response. Build credible demonstrations that resonate with engineers and mission owners rather than relying on canned sales demos. Advise on AI Security: Help federal customers understand how to secure: AI/ML models LLM-powered applications AI agents Data and inference pipelines Model supply chains AI infrastructure Production AI workloads Apply established security concepts and frameworks including: MITRE ATLAS OWASP Top 10 for LLM Applications NIST AI Risk Management Framework Adversarial machine learning concepts and attack methodologies Communicate & Influence: Deliver live technical demonstrations, architecture sessions, whiteboard discussions, and executive briefings. Present effectively to audiences ranging from ML engineers and data scientists to cybersecurity leaders and senior executives. Create technical evaluation reports, reference architectures, deployment documentation, and integration guides. Represent the organization at federal engagements, conferences, webinars, and industry events. Translate lessons learned in the field into reusable demonstrations, technical enablement, and feedback for Product, Research, and Engineering. What We're Looking For We are looking for a highly technical, customer-facing architect who has actually worked inside federal environments and understands the realities of deploying sophisticated technology into government infrastructure. Ideal candidates will bring: 5+ years of experience in Solutions Architecture, Solutions Engineering, Applied AI Engineering, ML Engineering, or a similar customer-facing technical role. Direct experience supporting federal customers across the Intelligence Community, DoD, DHS, or civilian agencies. Experience operating within federal missions-not simply selling technology into federal accounts. Strong hands-on Python development skills. Practical experience building and integrating modern AI/ML systems. Experience with technologies and concepts such as: PyTorch Hugging Face ONNX LLM APIs Model inference RAG Agentic AI architectures AI/ML pipelines Strong hands-on experience with Docker, Kubernetes, and Helm. Experience deploying applications into restricted, disconnected, or air-gapped environments. Understanding of MLOps, CI/CD, and the lifecycle of models from development through production. Working knowledge of cybersecurity and AI security concepts. Strong technical presentation and communication skills. Ability to take an ambiguous customer problem and independently turn it into an executable technical plan. Ability and willingness to travel for customer engagements and industry events. Especially Valuable Experience: Additional experience in any of the following areas would be highly desirable: Active Top Secret or higher-level security clearance. Supporting AI/ML programs in classified environments. Securing production AI or machine-learning systems. AI/LLM red teaming or adversarial machine learning. AI security or AI evaluation tooling. Model formats and AI supply-chain security, including: ONNX SafeTensors GGUF Pickle-based serialization AWS GovCloud or other government cloud environments. OpenShift and private Kubernetes environments. Federal cybersecurity or compliance frameworks. Certifications such as Kubernetes, AWS, Azure, CISSP, or Security+. Public technical work including GitHub repositories, Hugging Face projects, conference presentations, open-source contributions, or technical writing. The Type of Person Who Will Thrive Here: This organization moves quickly and operates much more like a high-growth technology company than a traditional government contractor. We're looking for someone who enjoys solving problems without a perfectly defined playbook. You should be someone who can walk into an ambiguous federal mission problem, ask the right questions, architect a solution, stand up the environment, write the integration, demonstrate it live, troubleshoot what breaks, and explain the outcome to both engineers and executives. Intellectual curiosity is especially important. The strongest candidates are typically people who are constantly experimenting-building side projects, maintaining home labs, testing new AI frameworks, contributing to open source, publishing technical content, or simply teaching themselves technologies because they want to understand how they work. Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes . click apply for full job details
11/03/2026
Full time
This Jobot Job is hosted by: Craig Rosecrans Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $200,000 - $275,000 per year A bit about us: We are partnering with a rapidly growing, venture-backed technology company operating at the intersection of Artificial Intelligence and cybersecurity to hire an AI Solutions Architect focused on Federal customers. This is not a traditional Solutions Architect position where you simply deliver presentations and hand opportunities back to Engineering. We are looking for someone who can architect, build, deploy, demonstrate, and troubleshoot real AI solutions while working directly with mission owners across the Intelligence Community, Department of Defense, DHS, and civilian federal agencies. You will serve as the technical lead throughout the customer journey-from initial discovery and architecture discussions through proof-of-value, deployment, integration, and technical win. The right person will be equally comfortable writing Python, deploying Kubernetes into an air-gapped environment, building an AI proof of concept, whiteboarding an architecture, and presenting the solution to senior government stakeholders. Why join us? You'll join a well-funded, rapidly scaling company building technology in one of the most important emerging areas of cybersecurity: protecting AI systems themselves. The company has recently completed a significant new funding round and is continuing to expand its engineering, product, and federal organizations. The opportunity offers: Fully remote work within the United States Significant exposure to cutting-edge AI and cybersecurity technology Direct involvement with important federal AI initiatives High technical autonomy and ownership Opportunity to work closely with Product, Research, Engineering, and customers Flexible paid time off Company holidays Home-office and connectivity support Dedicated learning and development funding for training, certifications, conferences, and industry events If you're a deeply technical Solutions Architect who understands Federal missions, AI/ML, cloud-native infrastructure, and security-and you want to help solve the emerging challenge of securing AI systems-we'd love to speak with you. Job Details What You'll Do Lead Federal Technical Engagements: Partner with federal Account Directors to lead technical strategy across complex government opportunities. Conduct discovery with mission owners, AI/ML engineers, security teams, architects, and executive stakeholders. Understand customers' AI initiatives, architectures, data pipelines, infrastructure, security requirements, and compliance constraints. Translate loosely defined mission challenges into clearly scoped technical evaluations and proof-of-value engagements. Establish measurable success criteria, timelines, technical requirements, and exit conditions. Serve as a trusted technical advisor and provide candid guidance around where the platform is-and is not-the right solution. Architect & Deploy Real Solutions: Architect and deploy an enterprise AI security platform across both connected SaaS and fully disconnected/air-gapped environments. Package and transfer container images, Helm charts, dependencies, and supporting artifacts into environments with limited or no internet connectivity. Deploy and administer Kubernetes-based environments utilizing technologies such as: Kubernetes Docker Helm Private container registries OpenShift VMware / Proxmox AWS, including government and restricted environments Troubleshoot deployment, networking, integration, and infrastructure issues during customer evaluations and initial implementations. Work directly with SDKs and APIs to build meaningful integrations into customer environments. Build AI Demonstrations & Proofs of Concept: Develop mission-focused AI applications and technical demonstrations involving: Large Language Models Agentic AI Computer Vision Model inference Retrieval/RAG architectures AI/ML pipelines Demonstrate how AI systems can be attacked, compromised, or manipulated-and how those systems can be protected. Integrate AI security capabilities throughout the ML lifecycle, including model scanning, CI/CD pipelines, application security, runtime detection, and response. Build credible demonstrations that resonate with engineers and mission owners rather than relying on canned sales demos. Advise on AI Security: Help federal customers understand how to secure: AI/ML models LLM-powered applications AI agents Data and inference pipelines Model supply chains AI infrastructure Production AI workloads Apply established security concepts and frameworks including: MITRE ATLAS OWASP Top 10 for LLM Applications NIST AI Risk Management Framework Adversarial machine learning concepts and attack methodologies Communicate & Influence: Deliver live technical demonstrations, architecture sessions, whiteboard discussions, and executive briefings. Present effectively to audiences ranging from ML engineers and data scientists to cybersecurity leaders and senior executives. Create technical evaluation reports, reference architectures, deployment documentation, and integration guides. Represent the organization at federal engagements, conferences, webinars, and industry events. Translate lessons learned in the field into reusable demonstrations, technical enablement, and feedback for Product, Research, and Engineering. What We're Looking For We are looking for a highly technical, customer-facing architect who has actually worked inside federal environments and understands the realities of deploying sophisticated technology into government infrastructure. Ideal candidates will bring: 5+ years of experience in Solutions Architecture, Solutions Engineering, Applied AI Engineering, ML Engineering, or a similar customer-facing technical role. Direct experience supporting federal customers across the Intelligence Community, DoD, DHS, or civilian agencies. Experience operating within federal missions-not simply selling technology into federal accounts. Strong hands-on Python development skills. Practical experience building and integrating modern AI/ML systems. Experience with technologies and concepts such as: PyTorch Hugging Face ONNX LLM APIs Model inference RAG Agentic AI architectures AI/ML pipelines Strong hands-on experience with Docker, Kubernetes, and Helm. Experience deploying applications into restricted, disconnected, or air-gapped environments. Understanding of MLOps, CI/CD, and the lifecycle of models from development through production. Working knowledge of cybersecurity and AI security concepts. Strong technical presentation and communication skills. Ability to take an ambiguous customer problem and independently turn it into an executable technical plan. Ability and willingness to travel for customer engagements and industry events. Especially Valuable Experience: Additional experience in any of the following areas would be highly desirable: Active Top Secret or higher-level security clearance. Supporting AI/ML programs in classified environments. Securing production AI or machine-learning systems. AI/LLM red teaming or adversarial machine learning. AI security or AI evaluation tooling. Model formats and AI supply-chain security, including: ONNX SafeTensors GGUF Pickle-based serialization AWS GovCloud or other government cloud environments. OpenShift and private Kubernetes environments. Federal cybersecurity or compliance frameworks. Certifications such as Kubernetes, AWS, Azure, CISSP, or Security+. Public technical work including GitHub repositories, Hugging Face projects, conference presentations, open-source contributions, or technical writing. The Type of Person Who Will Thrive Here: This organization moves quickly and operates much more like a high-growth technology company than a traditional government contractor. We're looking for someone who enjoys solving problems without a perfectly defined playbook. You should be someone who can walk into an ambiguous federal mission problem, ask the right questions, architect a solution, stand up the environment, write the integration, demonstrate it live, troubleshoot what breaks, and explain the outcome to both engineers and executives. Intellectual curiosity is especially important. The strongest candidates are typically people who are constantly experimenting-building side projects, maintaining home labs, testing new AI frameworks, contributing to open source, publishing technical content, or simply teaching themselves technologies because they want to understand how they work. Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes . click apply for full job details
Drive Client Success Through Proactive IT Solutions This Jobot Job is hosted by: Ben Koester Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $80,000 - $95,000 per year A bit about us: We are a growing Managed IT Services Provider (MSP) dedicated to helping businesses maximize the performance, security, and reliability of their technology environments. Our team partners closely with clients to proactively manage their infrastructure, reduce risk, and implement technology solutions that support long-term business success. We believe in building lasting client relationships through exceptional service, technical expertise, and a proactive approach to IT. Our collaborative culture encourages continuous learning, professional growth, and the opportunity to work with a wide range of technologies across diverse client environments. Why join us? Competitive Compensation based on experience Comprehensive Benefits including Medical, Dental, and Vision Insurance 401(k) with company match Paid Time Off & Paid Holidays Ongoing technical training and certification support Opportunity to work with the latest Microsoft, networking, and cloud technologies Exposure to a variety of client environments and infrastructure projects Career advancement within a growing Managed Services organization Collaborative, team-oriented culture with experienced engineers Local travel with the ability to work directly with clients and make a meaningful impact Job Details he Technology Success Engineer serves as the dedicated technical owner for an assigned portfolio of clients. This role combines systems administration, network engineering, infrastructure optimization, and customer support to ensure client environments remain secure, reliable, and aligned with industry best practices. You'll proactively assess client IT environments, identify opportunities for improvement, implement technical solutions, and serve as a trusted advisor while collaborating with internal engineering, project, and service teams. Responsibilities Serve as the primary technical resource for assigned client accounts Perform proactive infrastructure assessments and technology health checks Analyze client networks, servers, cloud services, and security posture for optimization opportunities Recommend and implement infrastructure improvements and best practices Provide onsite technical support for escalated issues, installations, and troubleshooting Configure, maintain, and support networking equipment including firewalls, switches, wireless access points, VLANs, and VPNs Administer Microsoft 365, Windows Server, Active Directory, Group Policy, DNS, DHCP, and Windows operating systems Support endpoint security, backup, and disaster recovery solutions Collaborate with vCIOs, Project Engineers, and Service Desk teams to identify risks and implement solutions Maintain accurate documentation of client environments, configurations, credentials, and processes Communicate technical findings and recommendations clearly to clients Help maintain infrastructure, security, and operational standards across client environments Qualifications Required 2+ years of IT support, Network Administration, or Managed Services (MSP) experience Hands-on experience supporting Microsoft-based environments Experience with Microsoft 365 administration Working knowledge of Windows Server, Active Directory, Group Policy, DNS, and DHCP Experience configuring and troubleshooting: Firewalls Managed Switches Wireless Access Points VLANs VPNs Strong troubleshooting and analytical skills Excellent communication and customer service abilities Ability to work independently while managing multiple client environments Valid driver's license with the ability to travel locally Preferred MSP experience Experience with ConnectWise, Datto, Kaseya, or similar PSA/RMM platforms IT Glue or similar documentation platform experience PowerShell scripting or automation experience macOS support experience Industry certifications such as: CompTIA Network+ CompTIA Security+ Microsoft Certifications Cisco Certifications Travel Local travel to client sites as needed Reliable transportation and valid driver's license required Primarily daytime travel with minimal overnight travel Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
11/03/2026
Full time
Drive Client Success Through Proactive IT Solutions This Jobot Job is hosted by: Ben Koester Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $80,000 - $95,000 per year A bit about us: We are a growing Managed IT Services Provider (MSP) dedicated to helping businesses maximize the performance, security, and reliability of their technology environments. Our team partners closely with clients to proactively manage their infrastructure, reduce risk, and implement technology solutions that support long-term business success. We believe in building lasting client relationships through exceptional service, technical expertise, and a proactive approach to IT. Our collaborative culture encourages continuous learning, professional growth, and the opportunity to work with a wide range of technologies across diverse client environments. Why join us? Competitive Compensation based on experience Comprehensive Benefits including Medical, Dental, and Vision Insurance 401(k) with company match Paid Time Off & Paid Holidays Ongoing technical training and certification support Opportunity to work with the latest Microsoft, networking, and cloud technologies Exposure to a variety of client environments and infrastructure projects Career advancement within a growing Managed Services organization Collaborative, team-oriented culture with experienced engineers Local travel with the ability to work directly with clients and make a meaningful impact Job Details he Technology Success Engineer serves as the dedicated technical owner for an assigned portfolio of clients. This role combines systems administration, network engineering, infrastructure optimization, and customer support to ensure client environments remain secure, reliable, and aligned with industry best practices. You'll proactively assess client IT environments, identify opportunities for improvement, implement technical solutions, and serve as a trusted advisor while collaborating with internal engineering, project, and service teams. Responsibilities Serve as the primary technical resource for assigned client accounts Perform proactive infrastructure assessments and technology health checks Analyze client networks, servers, cloud services, and security posture for optimization opportunities Recommend and implement infrastructure improvements and best practices Provide onsite technical support for escalated issues, installations, and troubleshooting Configure, maintain, and support networking equipment including firewalls, switches, wireless access points, VLANs, and VPNs Administer Microsoft 365, Windows Server, Active Directory, Group Policy, DNS, DHCP, and Windows operating systems Support endpoint security, backup, and disaster recovery solutions Collaborate with vCIOs, Project Engineers, and Service Desk teams to identify risks and implement solutions Maintain accurate documentation of client environments, configurations, credentials, and processes Communicate technical findings and recommendations clearly to clients Help maintain infrastructure, security, and operational standards across client environments Qualifications Required 2+ years of IT support, Network Administration, or Managed Services (MSP) experience Hands-on experience supporting Microsoft-based environments Experience with Microsoft 365 administration Working knowledge of Windows Server, Active Directory, Group Policy, DNS, and DHCP Experience configuring and troubleshooting: Firewalls Managed Switches Wireless Access Points VLANs VPNs Strong troubleshooting and analytical skills Excellent communication and customer service abilities Ability to work independently while managing multiple client environments Valid driver's license with the ability to travel locally Preferred MSP experience Experience with ConnectWise, Datto, Kaseya, or similar PSA/RMM platforms IT Glue or similar documentation platform experience PowerShell scripting or automation experience macOS support experience Industry certifications such as: CompTIA Network+ CompTIA Security+ Microsoft Certifications Cisco Certifications Travel Local travel to client sites as needed Reliable transportation and valid driver's license required Primarily daytime travel with minimal overnight travel Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
This Jobot Job is hosted by: Craig Rosecrans Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $200,000 - $275,000 per year A bit about us: We are partnering with a rapidly growing, venture-backed technology company operating at the intersection of Artificial Intelligence and cybersecurity to hire an AI Solutions Architect focused on Federal customers. This is not a traditional Solutions Architect position where you simply deliver presentations and hand opportunities back to Engineering. We are looking for someone who can architect, build, deploy, demonstrate, and troubleshoot real AI solutions while working directly with mission owners across the Intelligence Community, Department of Defense, DHS, and civilian federal agencies. You will serve as the technical lead throughout the customer journey-from initial discovery and architecture discussions through proof-of-value, deployment, integration, and technical win. The right person will be equally comfortable writing Python, deploying Kubernetes into an air-gapped environment, building an AI proof of concept, whiteboarding an architecture, and presenting the solution to senior government stakeholders. Why join us? You'll join a well-funded, rapidly scaling company building technology in one of the most important emerging areas of cybersecurity: protecting AI systems themselves. The company has recently completed a significant new funding round and is continuing to expand its engineering, product, and federal organizations. The opportunity offers: Fully remote work within the United States Significant exposure to cutting-edge AI and cybersecurity technology Direct involvement with important federal AI initiatives High technical autonomy and ownership Opportunity to work closely with Product, Research, Engineering, and customers Flexible paid time off Company holidays Home-office and connectivity support Dedicated learning and development funding for training, certifications, conferences, and industry events If you're a deeply technical Solutions Architect who understands Federal missions, AI/ML, cloud-native infrastructure, and security-and you want to help solve the emerging challenge of securing AI systems-we'd love to speak with you. Job Details What You'll Do Lead Federal Technical Engagements: Partner with federal Account Directors to lead technical strategy across complex government opportunities. Conduct discovery with mission owners, AI/ML engineers, security teams, architects, and executive stakeholders. Understand customers' AI initiatives, architectures, data pipelines, infrastructure, security requirements, and compliance constraints. Translate loosely defined mission challenges into clearly scoped technical evaluations and proof-of-value engagements. Establish measurable success criteria, timelines, technical requirements, and exit conditions. Serve as a trusted technical advisor and provide candid guidance around where the platform is-and is not-the right solution. Architect & Deploy Real Solutions: Architect and deploy an enterprise AI security platform across both connected SaaS and fully disconnected/air-gapped environments. Package and transfer container images, Helm charts, dependencies, and supporting artifacts into environments with limited or no internet connectivity. Deploy and administer Kubernetes-based environments utilizing technologies such as: Kubernetes Docker Helm Private container registries OpenShift VMware / Proxmox AWS, including government and restricted environments Troubleshoot deployment, networking, integration, and infrastructure issues during customer evaluations and initial implementations. Work directly with SDKs and APIs to build meaningful integrations into customer environments. Build AI Demonstrations & Proofs of Concept: Develop mission-focused AI applications and technical demonstrations involving: Large Language Models Agentic AI Computer Vision Model inference Retrieval/RAG architectures AI/ML pipelines Demonstrate how AI systems can be attacked, compromised, or manipulated-and how those systems can be protected. Integrate AI security capabilities throughout the ML lifecycle, including model scanning, CI/CD pipelines, application security, runtime detection, and response. Build credible demonstrations that resonate with engineers and mission owners rather than relying on canned sales demos. Advise on AI Security: Help federal customers understand how to secure: AI/ML models LLM-powered applications AI agents Data and inference pipelines Model supply chains AI infrastructure Production AI workloads Apply established security concepts and frameworks including: MITRE ATLAS OWASP Top 10 for LLM Applications NIST AI Risk Management Framework Adversarial machine learning concepts and attack methodologies Communicate & Influence: Deliver live technical demonstrations, architecture sessions, whiteboard discussions, and executive briefings. Present effectively to audiences ranging from ML engineers and data scientists to cybersecurity leaders and senior executives. Create technical evaluation reports, reference architectures, deployment documentation, and integration guides. Represent the organization at federal engagements, conferences, webinars, and industry events. Translate lessons learned in the field into reusable demonstrations, technical enablement, and feedback for Product, Research, and Engineering. What We're Looking For We are looking for a highly technical, customer-facing architect who has actually worked inside federal environments and understands the realities of deploying sophisticated technology into government infrastructure. Ideal candidates will bring: 5+ years of experience in Solutions Architecture, Solutions Engineering, Applied AI Engineering, ML Engineering, or a similar customer-facing technical role. Direct experience supporting federal customers across the Intelligence Community, DoD, DHS, or civilian agencies. Experience operating within federal missions-not simply selling technology into federal accounts. Strong hands-on Python development skills. Practical experience building and integrating modern AI/ML systems. Experience with technologies and concepts such as: PyTorch Hugging Face ONNX LLM APIs Model inference RAG Agentic AI architectures AI/ML pipelines Strong hands-on experience with Docker, Kubernetes, and Helm. Experience deploying applications into restricted, disconnected, or air-gapped environments. Understanding of MLOps, CI/CD, and the lifecycle of models from development through production. Working knowledge of cybersecurity and AI security concepts. Strong technical presentation and communication skills. Ability to take an ambiguous customer problem and independently turn it into an executable technical plan. Ability and willingness to travel for customer engagements and industry events. Especially Valuable Experience: Additional experience in any of the following areas would be highly desirable: Active Top Secret or higher-level security clearance. Supporting AI/ML programs in classified environments. Securing production AI or machine-learning systems. AI/LLM red teaming or adversarial machine learning. AI security or AI evaluation tooling. Model formats and AI supply-chain security, including: ONNX SafeTensors GGUF Pickle-based serialization AWS GovCloud or other government cloud environments. OpenShift and private Kubernetes environments. Federal cybersecurity or compliance frameworks. Certifications such as Kubernetes, AWS, Azure, CISSP, or Security+. Public technical work including GitHub repositories, Hugging Face projects, conference presentations, open-source contributions, or technical writing. The Type of Person Who Will Thrive Here: This organization moves quickly and operates much more like a high-growth technology company than a traditional government contractor. We're looking for someone who enjoys solving problems without a perfectly defined playbook. You should be someone who can walk into an ambiguous federal mission problem, ask the right questions, architect a solution, stand up the environment, write the integration, demonstrate it live, troubleshoot what breaks, and explain the outcome to both engineers and executives. Intellectual curiosity is especially important. The strongest candidates are typically people who are constantly experimenting-building side projects, maintaining home labs, testing new AI frameworks, contributing to open source, publishing technical content, or simply teaching themselves technologies because they want to understand how they work. Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes . click apply for full job details
11/03/2026
Full time
This Jobot Job is hosted by: Craig Rosecrans Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $200,000 - $275,000 per year A bit about us: We are partnering with a rapidly growing, venture-backed technology company operating at the intersection of Artificial Intelligence and cybersecurity to hire an AI Solutions Architect focused on Federal customers. This is not a traditional Solutions Architect position where you simply deliver presentations and hand opportunities back to Engineering. We are looking for someone who can architect, build, deploy, demonstrate, and troubleshoot real AI solutions while working directly with mission owners across the Intelligence Community, Department of Defense, DHS, and civilian federal agencies. You will serve as the technical lead throughout the customer journey-from initial discovery and architecture discussions through proof-of-value, deployment, integration, and technical win. The right person will be equally comfortable writing Python, deploying Kubernetes into an air-gapped environment, building an AI proof of concept, whiteboarding an architecture, and presenting the solution to senior government stakeholders. Why join us? You'll join a well-funded, rapidly scaling company building technology in one of the most important emerging areas of cybersecurity: protecting AI systems themselves. The company has recently completed a significant new funding round and is continuing to expand its engineering, product, and federal organizations. The opportunity offers: Fully remote work within the United States Significant exposure to cutting-edge AI and cybersecurity technology Direct involvement with important federal AI initiatives High technical autonomy and ownership Opportunity to work closely with Product, Research, Engineering, and customers Flexible paid time off Company holidays Home-office and connectivity support Dedicated learning and development funding for training, certifications, conferences, and industry events If you're a deeply technical Solutions Architect who understands Federal missions, AI/ML, cloud-native infrastructure, and security-and you want to help solve the emerging challenge of securing AI systems-we'd love to speak with you. Job Details What You'll Do Lead Federal Technical Engagements: Partner with federal Account Directors to lead technical strategy across complex government opportunities. Conduct discovery with mission owners, AI/ML engineers, security teams, architects, and executive stakeholders. Understand customers' AI initiatives, architectures, data pipelines, infrastructure, security requirements, and compliance constraints. Translate loosely defined mission challenges into clearly scoped technical evaluations and proof-of-value engagements. Establish measurable success criteria, timelines, technical requirements, and exit conditions. Serve as a trusted technical advisor and provide candid guidance around where the platform is-and is not-the right solution. Architect & Deploy Real Solutions: Architect and deploy an enterprise AI security platform across both connected SaaS and fully disconnected/air-gapped environments. Package and transfer container images, Helm charts, dependencies, and supporting artifacts into environments with limited or no internet connectivity. Deploy and administer Kubernetes-based environments utilizing technologies such as: Kubernetes Docker Helm Private container registries OpenShift VMware / Proxmox AWS, including government and restricted environments Troubleshoot deployment, networking, integration, and infrastructure issues during customer evaluations and initial implementations. Work directly with SDKs and APIs to build meaningful integrations into customer environments. Build AI Demonstrations & Proofs of Concept: Develop mission-focused AI applications and technical demonstrations involving: Large Language Models Agentic AI Computer Vision Model inference Retrieval/RAG architectures AI/ML pipelines Demonstrate how AI systems can be attacked, compromised, or manipulated-and how those systems can be protected. Integrate AI security capabilities throughout the ML lifecycle, including model scanning, CI/CD pipelines, application security, runtime detection, and response. Build credible demonstrations that resonate with engineers and mission owners rather than relying on canned sales demos. Advise on AI Security: Help federal customers understand how to secure: AI/ML models LLM-powered applications AI agents Data and inference pipelines Model supply chains AI infrastructure Production AI workloads Apply established security concepts and frameworks including: MITRE ATLAS OWASP Top 10 for LLM Applications NIST AI Risk Management Framework Adversarial machine learning concepts and attack methodologies Communicate & Influence: Deliver live technical demonstrations, architecture sessions, whiteboard discussions, and executive briefings. Present effectively to audiences ranging from ML engineers and data scientists to cybersecurity leaders and senior executives. Create technical evaluation reports, reference architectures, deployment documentation, and integration guides. Represent the organization at federal engagements, conferences, webinars, and industry events. Translate lessons learned in the field into reusable demonstrations, technical enablement, and feedback for Product, Research, and Engineering. What We're Looking For We are looking for a highly technical, customer-facing architect who has actually worked inside federal environments and understands the realities of deploying sophisticated technology into government infrastructure. Ideal candidates will bring: 5+ years of experience in Solutions Architecture, Solutions Engineering, Applied AI Engineering, ML Engineering, or a similar customer-facing technical role. Direct experience supporting federal customers across the Intelligence Community, DoD, DHS, or civilian agencies. Experience operating within federal missions-not simply selling technology into federal accounts. Strong hands-on Python development skills. Practical experience building and integrating modern AI/ML systems. Experience with technologies and concepts such as: PyTorch Hugging Face ONNX LLM APIs Model inference RAG Agentic AI architectures AI/ML pipelines Strong hands-on experience with Docker, Kubernetes, and Helm. Experience deploying applications into restricted, disconnected, or air-gapped environments. Understanding of MLOps, CI/CD, and the lifecycle of models from development through production. Working knowledge of cybersecurity and AI security concepts. Strong technical presentation and communication skills. Ability to take an ambiguous customer problem and independently turn it into an executable technical plan. Ability and willingness to travel for customer engagements and industry events. Especially Valuable Experience: Additional experience in any of the following areas would be highly desirable: Active Top Secret or higher-level security clearance. Supporting AI/ML programs in classified environments. Securing production AI or machine-learning systems. AI/LLM red teaming or adversarial machine learning. AI security or AI evaluation tooling. Model formats and AI supply-chain security, including: ONNX SafeTensors GGUF Pickle-based serialization AWS GovCloud or other government cloud environments. OpenShift and private Kubernetes environments. Federal cybersecurity or compliance frameworks. Certifications such as Kubernetes, AWS, Azure, CISSP, or Security+. Public technical work including GitHub repositories, Hugging Face projects, conference presentations, open-source contributions, or technical writing. The Type of Person Who Will Thrive Here: This organization moves quickly and operates much more like a high-growth technology company than a traditional government contractor. We're looking for someone who enjoys solving problems without a perfectly defined playbook. You should be someone who can walk into an ambiguous federal mission problem, ask the right questions, architect a solution, stand up the environment, write the integration, demonstrate it live, troubleshoot what breaks, and explain the outcome to both engineers and executives. Intellectual curiosity is especially important. The strongest candidates are typically people who are constantly experimenting-building side projects, maintaining home labs, testing new AI frameworks, contributing to open source, publishing technical content, or simply teaching themselves technologies because they want to understand how they work. Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes . click apply for full job details
This Jobot Consulting Job is hosted by: Amanda Preston Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $100 - $119 per hour A bit about us: We are a global media, technology, and information services organization with a diverse portfolio of businesses and a strong commitment to innovation. Our technology teams support a complex, enterprise-scale environment, leveraging modern infrastructure, cloud technologies, security platforms, and automation to improve how our businesses operate. We are continuously investing in technology modernization, operational efficiency, and emerging capabilities, including AI-driven automation. Our teams work collaboratively across engineering, infrastructure, and cybersecurity to solve meaningful technical challenges and develop scalable, long-term solutions. Why join us? Fully Remote Opportunity: Work remotely from anywhere within the United States while collaborating with experienced engineering and security teams. High-Impact Project: Take ownership of complex endpoint engineering challenges and deliver measurable improvements across an enterprise environment. Modern Technology Stack: Work with Microsoft Intune, Iru/Kandji, CrowdStrike, Tenable, and enterprise automation technologies. Automation-Focused Engineering: Build scalable solutions that eliminate recurring issues and reduce manual intervention. Innovation & AI: Leverage scripting, APIs, data analytics, and AI-assisted engineering to improve endpoint management and security operations. Ownership & Autonomy: Drive technical solutions from root-cause analysis through implementation, with the opportunity to make a lasting impact. Job Details We are seeking an experienced Senior Endpoint Automation Engineer for a six-month contract engagement focused on improving endpoint management health, vulnerability patching, and operational automation across enterprise Windows and macOS environments. This is a highly hands-on engineering position designed to address persistent operational challenges through root-cause analysis, advanced scripting, data correlation, and automated remediation. The successful candidate will work across Microsoft Intune, Iru/Kandji, Tenable, CrowdStrike, and related platforms to identify why endpoints fall out of management, diagnose patching failures, reconcile inconsistent compliance data, and implement automated solutions that prevent issues from recurring. This is not a traditional endpoint administration, support, or architecture role. We are looking for an engineer who can investigate complex issues, build effective automation, and deliver measurable operational improvements. Key Responsibilities Endpoint Management & Device Health Investigate Windows and macOS devices that stop communicating with endpoint management platforms. Establish automated monitoring to identify endpoints that fail to check in within defined timeframes. Diagnose root causes involving agent health, connectivity, identity, certificates, configuration, and device state. Develop automated workflows to identify, classify, and remediate inactive or noncompliant devices. Automate the identification and removal of retired devices across MDM, directory, identity, and security platforms. Improve endpoint inventory accuracy and eliminate stale or conflicting device records. Patching & Vulnerability Management Investigate operating system and application patching failures across Windows and macOS environments. Identify and resolve the underlying causes of devices remaining unpatched beyond established SLAs. Correlate data across Microsoft Intune, Iru/Kandji, Tenable, CrowdStrike, and inventory platforms to validate patch compliance. Investigate discrepancies between endpoint management, security, and vulnerability reporting systems. Build automated remediation, monitoring, and escalation workflows for patching failures. Establish reliable compliance reporting that accurately reflects endpoint security and vulnerability exposure. Automation & Process Improvement Design, develop, and implement scalable automation using PowerShell, Python, Bash, APIs, and existing enterprise tooling. Replace repetitive manual processes with reliable, repeatable workflows. Automate endpoint cleanup, agent remediation, patch troubleshooting, and compliance reporting. Develop scripts and integrations to identify recurring issues and initiate corrective action. Incorporate appropriate error handling, logging, validation, and exception management into automated workflows. Document automated solutions and transfer knowledge to permanent engineering teams. Data Analysis & AI-Assisted Engineering Analyze large datasets from endpoint management, security, vulnerability, and ITSM platforms. Correlate information across multiple systems to identify technical patterns and systemic failures. Validate data accuracy rather than relying solely on existing dashboards or platform reporting. Leverage AI-assisted engineering tools for investigation, scripting, analysis, and workflow development. Ensure AI-generated solutions are technically validated and aligned with organizational security requirements. Develop meaningful metrics and reporting to demonstrate improvements in endpoint health, compliance, and operational efficiency. Required Qualifications Strong enterprise-level endpoint engineering experience across Windows and macOS environments. Advanced hands-on experience with Microsoft Intune. Experience with Iru/Kandji, Jamf Pro, or comparable macOS management platforms. Experience with Tenable, CrowdStrike, or similar vulnerability management and endpoint security tools. Strong scripting and automation skills using PowerShell, Python, and/or Bash. Demonstrated experience working with APIs and integrating data across multiple enterprise platforms. Strong understanding of endpoint patch management, vulnerability remediation, and device compliance. Experience troubleshooting endpoint agent failures, device communication issues, and inconsistent inventory records. Proven ability to develop automated remediation workflows rather than relying on manual endpoint administration. Experience analyzing and reconciling large, complex datasets from multiple management and security platforms. Practical experience using AI-assisted tools to improve engineering, automation, and analysis workflows. Excellent root-cause analysis, technical troubleshooting, and problem-solving skills. Ability to independently own technical challenges from initial investigation through implementation and measurable resolution. Preferred Qualifications Experience developing automated device lifecycle management and decommissioning processes. Experience integrating endpoint management, vulnerability management, identity, and security tooling. Familiarity with enterprise ITSM platforms and automated incident or remediation workflows. Experience building operational dashboards, compliance reporting, and automated exception management. Relevant Microsoft, Apple, endpoint management, security, or automation certifications. What Success Looks Like By the end of the engagement, the successful candidate will have delivered measurable improvements in three key areas: 1. Reliable Endpoint Visibility Endpoints consistently check in within defined management windows. Devices that fail to check in are automatically identified and classified by root cause. Retired devices are automatically removed from relevant management, identity, and security platforms. Stale records and unexplained device management gaps are eliminated or substantially reduced. 2. Accurate Patch Compliance Patching failures are investigated and corrected at the root cause. Conflicting data across endpoint management, vulnerability, and security platforms is reconciled. Compliance reporting accurately reflects defined SLAs and provides leadership with reliable metrics. Devices exceeding remediation deadlines are automatically identified and routed for corrective action. 3. Sustainable Automation Repetitive cleanup, remediation, and reporting activities are automated. Common agent failures, stale records, and patching issues are addressed through reusable workflows. Manual intervention is limited to genuine exceptions. Permanent engineering teams inherit documented, maintainable solutions that significantly reduce ongoing operational effort. The Ideal Candidate You are a hands-on endpoint engineer who enjoys solving complex technical problems and eliminating them through automation. You don't simply report what a dashboard says. You investigate the underlying data, identify why something is failing, and develop solutions that prevent it from happening again. You are equally comfortable troubleshooting Windows and macOS management issues, writing scripts, integrating APIs, and validating information across multiple security and management platforms. Most importantly, you are a builder and problem solver who measures success by the issues permanently resolved and the manual work eliminated. Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization . click apply for full job details
11/03/2026
Full time
This Jobot Consulting Job is hosted by: Amanda Preston Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $100 - $119 per hour A bit about us: We are a global media, technology, and information services organization with a diverse portfolio of businesses and a strong commitment to innovation. Our technology teams support a complex, enterprise-scale environment, leveraging modern infrastructure, cloud technologies, security platforms, and automation to improve how our businesses operate. We are continuously investing in technology modernization, operational efficiency, and emerging capabilities, including AI-driven automation. Our teams work collaboratively across engineering, infrastructure, and cybersecurity to solve meaningful technical challenges and develop scalable, long-term solutions. Why join us? Fully Remote Opportunity: Work remotely from anywhere within the United States while collaborating with experienced engineering and security teams. High-Impact Project: Take ownership of complex endpoint engineering challenges and deliver measurable improvements across an enterprise environment. Modern Technology Stack: Work with Microsoft Intune, Iru/Kandji, CrowdStrike, Tenable, and enterprise automation technologies. Automation-Focused Engineering: Build scalable solutions that eliminate recurring issues and reduce manual intervention. Innovation & AI: Leverage scripting, APIs, data analytics, and AI-assisted engineering to improve endpoint management and security operations. Ownership & Autonomy: Drive technical solutions from root-cause analysis through implementation, with the opportunity to make a lasting impact. Job Details We are seeking an experienced Senior Endpoint Automation Engineer for a six-month contract engagement focused on improving endpoint management health, vulnerability patching, and operational automation across enterprise Windows and macOS environments. This is a highly hands-on engineering position designed to address persistent operational challenges through root-cause analysis, advanced scripting, data correlation, and automated remediation. The successful candidate will work across Microsoft Intune, Iru/Kandji, Tenable, CrowdStrike, and related platforms to identify why endpoints fall out of management, diagnose patching failures, reconcile inconsistent compliance data, and implement automated solutions that prevent issues from recurring. This is not a traditional endpoint administration, support, or architecture role. We are looking for an engineer who can investigate complex issues, build effective automation, and deliver measurable operational improvements. Key Responsibilities Endpoint Management & Device Health Investigate Windows and macOS devices that stop communicating with endpoint management platforms. Establish automated monitoring to identify endpoints that fail to check in within defined timeframes. Diagnose root causes involving agent health, connectivity, identity, certificates, configuration, and device state. Develop automated workflows to identify, classify, and remediate inactive or noncompliant devices. Automate the identification and removal of retired devices across MDM, directory, identity, and security platforms. Improve endpoint inventory accuracy and eliminate stale or conflicting device records. Patching & Vulnerability Management Investigate operating system and application patching failures across Windows and macOS environments. Identify and resolve the underlying causes of devices remaining unpatched beyond established SLAs. Correlate data across Microsoft Intune, Iru/Kandji, Tenable, CrowdStrike, and inventory platforms to validate patch compliance. Investigate discrepancies between endpoint management, security, and vulnerability reporting systems. Build automated remediation, monitoring, and escalation workflows for patching failures. Establish reliable compliance reporting that accurately reflects endpoint security and vulnerability exposure. Automation & Process Improvement Design, develop, and implement scalable automation using PowerShell, Python, Bash, APIs, and existing enterprise tooling. Replace repetitive manual processes with reliable, repeatable workflows. Automate endpoint cleanup, agent remediation, patch troubleshooting, and compliance reporting. Develop scripts and integrations to identify recurring issues and initiate corrective action. Incorporate appropriate error handling, logging, validation, and exception management into automated workflows. Document automated solutions and transfer knowledge to permanent engineering teams. Data Analysis & AI-Assisted Engineering Analyze large datasets from endpoint management, security, vulnerability, and ITSM platforms. Correlate information across multiple systems to identify technical patterns and systemic failures. Validate data accuracy rather than relying solely on existing dashboards or platform reporting. Leverage AI-assisted engineering tools for investigation, scripting, analysis, and workflow development. Ensure AI-generated solutions are technically validated and aligned with organizational security requirements. Develop meaningful metrics and reporting to demonstrate improvements in endpoint health, compliance, and operational efficiency. Required Qualifications Strong enterprise-level endpoint engineering experience across Windows and macOS environments. Advanced hands-on experience with Microsoft Intune. Experience with Iru/Kandji, Jamf Pro, or comparable macOS management platforms. Experience with Tenable, CrowdStrike, or similar vulnerability management and endpoint security tools. Strong scripting and automation skills using PowerShell, Python, and/or Bash. Demonstrated experience working with APIs and integrating data across multiple enterprise platforms. Strong understanding of endpoint patch management, vulnerability remediation, and device compliance. Experience troubleshooting endpoint agent failures, device communication issues, and inconsistent inventory records. Proven ability to develop automated remediation workflows rather than relying on manual endpoint administration. Experience analyzing and reconciling large, complex datasets from multiple management and security platforms. Practical experience using AI-assisted tools to improve engineering, automation, and analysis workflows. Excellent root-cause analysis, technical troubleshooting, and problem-solving skills. Ability to independently own technical challenges from initial investigation through implementation and measurable resolution. Preferred Qualifications Experience developing automated device lifecycle management and decommissioning processes. Experience integrating endpoint management, vulnerability management, identity, and security tooling. Familiarity with enterprise ITSM platforms and automated incident or remediation workflows. Experience building operational dashboards, compliance reporting, and automated exception management. Relevant Microsoft, Apple, endpoint management, security, or automation certifications. What Success Looks Like By the end of the engagement, the successful candidate will have delivered measurable improvements in three key areas: 1. Reliable Endpoint Visibility Endpoints consistently check in within defined management windows. Devices that fail to check in are automatically identified and classified by root cause. Retired devices are automatically removed from relevant management, identity, and security platforms. Stale records and unexplained device management gaps are eliminated or substantially reduced. 2. Accurate Patch Compliance Patching failures are investigated and corrected at the root cause. Conflicting data across endpoint management, vulnerability, and security platforms is reconciled. Compliance reporting accurately reflects defined SLAs and provides leadership with reliable metrics. Devices exceeding remediation deadlines are automatically identified and routed for corrective action. 3. Sustainable Automation Repetitive cleanup, remediation, and reporting activities are automated. Common agent failures, stale records, and patching issues are addressed through reusable workflows. Manual intervention is limited to genuine exceptions. Permanent engineering teams inherit documented, maintainable solutions that significantly reduce ongoing operational effort. The Ideal Candidate You are a hands-on endpoint engineer who enjoys solving complex technical problems and eliminating them through automation. You don't simply report what a dashboard says. You investigate the underlying data, identify why something is failing, and develop solutions that prevent it from happening again. You are equally comfortable troubleshooting Windows and macOS management issues, writing scripts, integrating APIs, and validating information across multiple security and management platforms. Most importantly, you are a builder and problem solver who measures success by the issues permanently resolved and the manual work eliminated. Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization . click apply for full job details
Own where changes land and what it costs to run This Jobot Job is hosted by: Charles Simmons Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $150,000 - $175,000 per year A bit about us: Small, mid staged AI native SaaS startup helps state and local governments modernize paper-based processes into intelligent, AI-driven digital workflows. As we evolve into an AI-first platform, our development velocity, model iteration frequency, and cross-team complexity increase. A reliable, cost-disciplined platform is essential to scale safely and predictably. Why join us? 100% work from home (US based only) Own the platform that build, validation, and release loops run on and deploy to: infrastructure, environments, Kubernetes, Networking, observability, and the AI serving and routing layer. Competitive base, bonus, and equity options Medical, dental, and vision insurance plans, with significant employer contributions for employees AND dependents (contributions based on base-level plan; buyup plans available at additional costs) Company-sponsored life, short-term, and long-term disability insurance 11 Paid holidays Flexible time off 401k plan with 4% employer match Monthly stipend for home office expenses Monthly wellness stipend Job Details Everything runs on Azure, and the platform is getting more interesting: an AI product suite heading toward general availability, self-hosted AI observability and telemetry inside a FedRAMP-conscious boundary, autonomous agents participating in delivery, and a microservices decomposition in flight. You will deploy, operate, and scale that platform, and you will own its cost discipline. This is a production seat with production access, and we treat that as an engineering responsibility, not a badge: least privilege, audit trails, and environment integrity are part of the job, because our customers are governments. You will work alongside our AI Operations Engineer, who owns the agentic delivery system (the loops that build, validate, and release code). You own the platform those loops run on and deploy to: infrastructure, environments, Kubernetes, networking, observability, and the AI serving and routing layer. The boundary is simple: they own how changes move; you own where changes land and what it costs to run. Responsibilities Deploy and operate our Azure platform: AKS, networking, identity, storage, and environments from development through production Own infrastructure as code end to end: environments are reproducible, drift is detected, and nothing reaches an environment without platform visibility Operate the AI infrastructure layer: self-hosted observability and evaluation tooling (Langfuse), product telemetry, model gateway and per-workload routing, and compliant GovCloud inference paths Own cloud and AI cost: metering, budgets, unit economics, MACC drawdown strategy, and active remediation; cost is an engineering metric here, not a finance afterthought Harden production access and controls: least privilege, secrets management, audit evidence, and a FedRAMP-conscious security posture Partner with AI Operations on the deploy-and-release path: Octopus Deploy, environment promotion, progressive rollout, and rollback Build platform reliability: monitoring, alerting, incident response, and capacity planning Give the microservices decomposition the platform primitives it needs: service infrastructure, scaling patterns, and clean environment boundaries Qualifications 5+ years in DevOps, platform engineering, or site reliability engineering in SaaS environments Deep Azure experience: AKS, networking, identity (Entra), and monitoring; you have run production Kubernetes Infrastructure as code as your default (Terraform, Bicep, or similar), plus strong scripting; you automate before you document MLOps experience: deploying and operating LLM or ML systems in production, including model gateways, inference infrastructure, or AI observability stacks Demonstrated cost work: you can point to cloud spend you found, explained, and reduced Experience in compliance-heavy environments (FedRAMP, StateRAMP, SOC 2, or similar) is a strong plus Comfortable holding production access, with the discipline that implies Key Competencies Treats environment integrity as sacred: no invisible changes, no snowflake servers, no heroics that cannot be audited Cost literacy: reads a cloud bill the way an engineer reads a stack trace Automates first: your instinct is a pipeline or a policy, not a runbook step Thinks in the open: surfaces risk early and documents what you build Calm in production incidents; rigorous in the postmortem What This Role Is NOT This is not a ticket-queue operations role and not a NOC seat. If your model of DevOps is executing change requests that other people design, this is not the fit. It is also not a research MLOps role: the AI infrastructure here serves a shipping product for government customers, with the reliability and compliance expectations that implies. How We Work We run an AI-native product development lifecycle. Autonomous agents participate in planning, coding, validation, and release; humans own judgment, standards, and direction. Work moves through a Plan-and-Review cadence rather than ceremony-heavy Agile. Two standards are non-negotiable: you own and can explain everything you ship, no matter what produced it, and you think in the open, surfacing uncertainty early rather than burying it. Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
11/03/2026
Full time
Own where changes land and what it costs to run This Jobot Job is hosted by: Charles Simmons Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $150,000 - $175,000 per year A bit about us: Small, mid staged AI native SaaS startup helps state and local governments modernize paper-based processes into intelligent, AI-driven digital workflows. As we evolve into an AI-first platform, our development velocity, model iteration frequency, and cross-team complexity increase. A reliable, cost-disciplined platform is essential to scale safely and predictably. Why join us? 100% work from home (US based only) Own the platform that build, validation, and release loops run on and deploy to: infrastructure, environments, Kubernetes, Networking, observability, and the AI serving and routing layer. Competitive base, bonus, and equity options Medical, dental, and vision insurance plans, with significant employer contributions for employees AND dependents (contributions based on base-level plan; buyup plans available at additional costs) Company-sponsored life, short-term, and long-term disability insurance 11 Paid holidays Flexible time off 401k plan with 4% employer match Monthly stipend for home office expenses Monthly wellness stipend Job Details Everything runs on Azure, and the platform is getting more interesting: an AI product suite heading toward general availability, self-hosted AI observability and telemetry inside a FedRAMP-conscious boundary, autonomous agents participating in delivery, and a microservices decomposition in flight. You will deploy, operate, and scale that platform, and you will own its cost discipline. This is a production seat with production access, and we treat that as an engineering responsibility, not a badge: least privilege, audit trails, and environment integrity are part of the job, because our customers are governments. You will work alongside our AI Operations Engineer, who owns the agentic delivery system (the loops that build, validate, and release code). You own the platform those loops run on and deploy to: infrastructure, environments, Kubernetes, networking, observability, and the AI serving and routing layer. The boundary is simple: they own how changes move; you own where changes land and what it costs to run. Responsibilities Deploy and operate our Azure platform: AKS, networking, identity, storage, and environments from development through production Own infrastructure as code end to end: environments are reproducible, drift is detected, and nothing reaches an environment without platform visibility Operate the AI infrastructure layer: self-hosted observability and evaluation tooling (Langfuse), product telemetry, model gateway and per-workload routing, and compliant GovCloud inference paths Own cloud and AI cost: metering, budgets, unit economics, MACC drawdown strategy, and active remediation; cost is an engineering metric here, not a finance afterthought Harden production access and controls: least privilege, secrets management, audit evidence, and a FedRAMP-conscious security posture Partner with AI Operations on the deploy-and-release path: Octopus Deploy, environment promotion, progressive rollout, and rollback Build platform reliability: monitoring, alerting, incident response, and capacity planning Give the microservices decomposition the platform primitives it needs: service infrastructure, scaling patterns, and clean environment boundaries Qualifications 5+ years in DevOps, platform engineering, or site reliability engineering in SaaS environments Deep Azure experience: AKS, networking, identity (Entra), and monitoring; you have run production Kubernetes Infrastructure as code as your default (Terraform, Bicep, or similar), plus strong scripting; you automate before you document MLOps experience: deploying and operating LLM or ML systems in production, including model gateways, inference infrastructure, or AI observability stacks Demonstrated cost work: you can point to cloud spend you found, explained, and reduced Experience in compliance-heavy environments (FedRAMP, StateRAMP, SOC 2, or similar) is a strong plus Comfortable holding production access, with the discipline that implies Key Competencies Treats environment integrity as sacred: no invisible changes, no snowflake servers, no heroics that cannot be audited Cost literacy: reads a cloud bill the way an engineer reads a stack trace Automates first: your instinct is a pipeline or a policy, not a runbook step Thinks in the open: surfaces risk early and documents what you build Calm in production incidents; rigorous in the postmortem What This Role Is NOT This is not a ticket-queue operations role and not a NOC seat. If your model of DevOps is executing change requests that other people design, this is not the fit. It is also not a research MLOps role: the AI infrastructure here serves a shipping product for government customers, with the reliability and compliance expectations that implies. How We Work We run an AI-native product development lifecycle. Autonomous agents participate in planning, coding, validation, and release; humans own judgment, standards, and direction. Work moves through a Plan-and-Review cadence rather than ceremony-heavy Agile. Two standards are non-negotiable: you own and can explain everything you ship, no matter what produced it, and you think in the open, surfacing uncertainty early rather than burying it. Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:
