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senior lead ai engineer gen ai platform
Lead / Principal Enterprise Architect
LCG, Inc. Rockville, Maryland
Job Description Job Description Job Description Title: Lead / Principal Enterprise Architect Location: Rockville, MD Work Arrangement: Hybrid( 3 days onsite minimum) Clearance: Must be able to obtain and maintain a Public Trust clearance Sponsorship: No sponsorship assistance is available for this position now or in the future. Position Summary: The Lead / Principal Enterprise Architect is responsible for defining and driving the technology roadmap for a complex, mission-critical application portfolio that includes long-standing custom-built Java and .NET applications (10+ years in production), commercial off-the-shelf (COTS) products, Oracle database platforms, and a hybrid mix of on-premises data centers and cloud infrastructure. The primary focus of this role is enterprise application and solution architecture, with particular emphasis on Java-based applications, COTS products, application modernization, integration, and hybrid cloud solutions. This role bridges business strategy and technical execution: partnering with executive stakeholders to understand business drivers, working with vendors to evaluate and integrate commercial products, and collaborating closely with existing development teams to translate architectural vision into effective, buildable designs. The successful candidate will bring strong architectural and technical credibility across legacy and modern technology stacks, with demonstrated experience working with Java-based enterprise applications and familiarity with .NET environments. The role does not require day-to-day hands-on application development; however, the architect must be technically proficient enough to evaluate solutions, challenge technical approaches, guide development teams, and translate architectural concepts into implementable designs. The successful candidate will also demonstrate sound judgment about when to modernize versus stabilize and possess the communication skills to align diverse stakeholders around a shared, phased modernization strategy. Environment You'll Be Working In The current application portfolio consists primarily of custom Java and .NET applications that have been in production for a decade or more, a number of COTS/vendor products layered into core business processes, and Oracle as the primary enterprise database platform. Java represents a significant portion of the application modernization environment, while .NET represents a smaller portion of the existing application portfolio. Infrastructure is a hybrid combination of on-premises data center capacity and cloud services, with active initiatives underway to rationalize workloads across both. The organization is seeking to modernize deliberately, without disrupting mission-critical operations, and needs an architect who can operate comfortably across legacy systems, vendor products, and modern cloud-native patterns simultaneously. The environment also includes enterprise platforms such as ServiceNow. ServiceNow architecture expertise is not a core requirement; however, familiarity with ServiceNow, CMDB concepts, enterprise workflow platforms, and their integration within a broader technology ecosystem is beneficial. Key Responsibilities Strategy & Roadmap Develop, maintain, and communicate a multi-year enterprise architecture roadmap that aligns technology investments with business strategy and modernization goals. Assess the current-state architecture across custom Java/.NET applications, COTS products, Oracle databases, and on-prem/cloud infrastructure to identify technical debt, risk, and modernization opportunities. Define target-state architectures and phased modernization approaches (rehost, replatform, refactor, replace, or retire) for legacy systems, prioritized by business value, risk, and cost. Evaluate existing technology stacks and recommend whether applications should remain on current technologies or transition to newer platforms, architectures, or technology patterns as part of modernization efforts. Build and maintain a technology and application inventory, including lifecycle status, dependencies, and risk ratings, to support roadmap and investment decisions. Evaluate emerging technologies, including artificial intelligence and AI-enabled capabilities, and identify practical opportunities for their responsible adoption within the enterprise technology roadmap. Design & Delivery Produce effective, pragmatic architecture designs and solution blueprints that developers and vendors can execute against, balancing ideal-state architecture with real-world constraints. Establish and maintain architecture standards, patterns, and reference architectures spanning application, integration, data, and infrastructure domains. Participate in solution design and code/design reviews with development teams to ensure new work aligns with enterprise standards and the long-term roadmap. Provide solution-level architectural guidance across technologies without replacing the hands-on developers, engineers, database specialists, security professionals, or other technical SMEs responsible for implementation. Lead architecture efforts for integrating on-premises systems with cloud services, and for migrating workloads to the cloud where it makes sense. Provide architectural guidance on Oracle database modernization, including options for cloud database migration, replatforming, or consolidation. Evaluate technology options and proposed solutions across the application portfolio and provide architectural recommendations regarding integration, scalability, maintainability, security, modernization, and long-term viability. Provide architectural guidance for AI-enabled solutions and evaluate how AI capabilities can be incorporated into application modernization, enterprise platforms, business processes, and future-state architectures where appropriate. Stakeholder & Vendor Engagement Partner with business and IT stakeholders to translate business needs and pain points into architecture requirements and roadmap priorities. Present architecture strategies, roadmaps, and business cases to executive leadership and governance bodies in clear, business-relevant terms. Evaluate COTS and vendor products, including participation in RFP/RFI processes, technical due diligence, and contract or statement-of-work review from an architecture perspective. Lead or participate in technology evaluations and option analyses, helping stakeholders determine whether to build, buy, integrate, modernize, or replace existing solutions. Manage ongoing architectural relationships with key technology vendors and system integrators, holding them accountable to agreed designs and standards. Act as a trusted advisor and connective tissue between business stakeholders, vendors, and internal development teams throughout the project lifecycle. Governance & Mentorship Establish and facilitate architecture governance processes (e.g., an architecture review board) to ensure new initiatives align with enterprise direction. Maintain a risk register and technical debt inventory tied directly to the modernization roadmap, with mitigation and remediation plans. Mentor architects, senior developers, and technical leads, building internal architecture capability and modernization know-how over time. Review significant technology proposals, solution approaches, and modernization recommendations to ensure alignment with enterprise architecture standards and strategic direction. Required Qualifications Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent professional experience. 10+ years of progressive IT experience, including at least 5 years in an enterprise or solution architecture role. Deep, hands-on background with Java and .NET application design and development, sufficient to assess and guide modernization of long-lived, complex codebases. Experience working with Oracle database platforms in an enterprise setting (schema design, performance, migration, or modernization). Experience integrating, customizing, or governing COTS/vendor products within a broader enterprise architecture. Demonstrated experience architecting and operating in hybrid environments spanning on-premises infrastructure and one or more public cloud platforms (AWS, Azure, or OCI). Track record of developing technology roadmaps and leading multi-year modernization initiatives. Strong stakeholder and vendor management skills, with the ability to influence without direct authority. Excellent verbal and written communication skills, with the ability to move fluidly between deep technical detail and executive-level messaging. Preferred Qualifications Experience working within a government, public-sector, or other highly regulated environment. Familiarity with established enterprise architecture frameworks (e.g., TOGAF, Zachman) and modernization patterns (e.g., strangler-fig, API-led integration, microservices decomposition). Experience with DevSecOps practices, CI/CD pipelines, and containerization/orchestration technologies as modernization targets. Relevant industry certifications (architecture, cloud platform, or database) are a plus but not required. . click apply for full job details
11/03/2026
Full time
Job Description Job Description Job Description Title: Lead / Principal Enterprise Architect Location: Rockville, MD Work Arrangement: Hybrid( 3 days onsite minimum) Clearance: Must be able to obtain and maintain a Public Trust clearance Sponsorship: No sponsorship assistance is available for this position now or in the future. Position Summary: The Lead / Principal Enterprise Architect is responsible for defining and driving the technology roadmap for a complex, mission-critical application portfolio that includes long-standing custom-built Java and .NET applications (10+ years in production), commercial off-the-shelf (COTS) products, Oracle database platforms, and a hybrid mix of on-premises data centers and cloud infrastructure. The primary focus of this role is enterprise application and solution architecture, with particular emphasis on Java-based applications, COTS products, application modernization, integration, and hybrid cloud solutions. This role bridges business strategy and technical execution: partnering with executive stakeholders to understand business drivers, working with vendors to evaluate and integrate commercial products, and collaborating closely with existing development teams to translate architectural vision into effective, buildable designs. The successful candidate will bring strong architectural and technical credibility across legacy and modern technology stacks, with demonstrated experience working with Java-based enterprise applications and familiarity with .NET environments. The role does not require day-to-day hands-on application development; however, the architect must be technically proficient enough to evaluate solutions, challenge technical approaches, guide development teams, and translate architectural concepts into implementable designs. The successful candidate will also demonstrate sound judgment about when to modernize versus stabilize and possess the communication skills to align diverse stakeholders around a shared, phased modernization strategy. Environment You'll Be Working In The current application portfolio consists primarily of custom Java and .NET applications that have been in production for a decade or more, a number of COTS/vendor products layered into core business processes, and Oracle as the primary enterprise database platform. Java represents a significant portion of the application modernization environment, while .NET represents a smaller portion of the existing application portfolio. Infrastructure is a hybrid combination of on-premises data center capacity and cloud services, with active initiatives underway to rationalize workloads across both. The organization is seeking to modernize deliberately, without disrupting mission-critical operations, and needs an architect who can operate comfortably across legacy systems, vendor products, and modern cloud-native patterns simultaneously. The environment also includes enterprise platforms such as ServiceNow. ServiceNow architecture expertise is not a core requirement; however, familiarity with ServiceNow, CMDB concepts, enterprise workflow platforms, and their integration within a broader technology ecosystem is beneficial. Key Responsibilities Strategy & Roadmap Develop, maintain, and communicate a multi-year enterprise architecture roadmap that aligns technology investments with business strategy and modernization goals. Assess the current-state architecture across custom Java/.NET applications, COTS products, Oracle databases, and on-prem/cloud infrastructure to identify technical debt, risk, and modernization opportunities. Define target-state architectures and phased modernization approaches (rehost, replatform, refactor, replace, or retire) for legacy systems, prioritized by business value, risk, and cost. Evaluate existing technology stacks and recommend whether applications should remain on current technologies or transition to newer platforms, architectures, or technology patterns as part of modernization efforts. Build and maintain a technology and application inventory, including lifecycle status, dependencies, and risk ratings, to support roadmap and investment decisions. Evaluate emerging technologies, including artificial intelligence and AI-enabled capabilities, and identify practical opportunities for their responsible adoption within the enterprise technology roadmap. Design & Delivery Produce effective, pragmatic architecture designs and solution blueprints that developers and vendors can execute against, balancing ideal-state architecture with real-world constraints. Establish and maintain architecture standards, patterns, and reference architectures spanning application, integration, data, and infrastructure domains. Participate in solution design and code/design reviews with development teams to ensure new work aligns with enterprise standards and the long-term roadmap. Provide solution-level architectural guidance across technologies without replacing the hands-on developers, engineers, database specialists, security professionals, or other technical SMEs responsible for implementation. Lead architecture efforts for integrating on-premises systems with cloud services, and for migrating workloads to the cloud where it makes sense. Provide architectural guidance on Oracle database modernization, including options for cloud database migration, replatforming, or consolidation. Evaluate technology options and proposed solutions across the application portfolio and provide architectural recommendations regarding integration, scalability, maintainability, security, modernization, and long-term viability. Provide architectural guidance for AI-enabled solutions and evaluate how AI capabilities can be incorporated into application modernization, enterprise platforms, business processes, and future-state architectures where appropriate. Stakeholder & Vendor Engagement Partner with business and IT stakeholders to translate business needs and pain points into architecture requirements and roadmap priorities. Present architecture strategies, roadmaps, and business cases to executive leadership and governance bodies in clear, business-relevant terms. Evaluate COTS and vendor products, including participation in RFP/RFI processes, technical due diligence, and contract or statement-of-work review from an architecture perspective. Lead or participate in technology evaluations and option analyses, helping stakeholders determine whether to build, buy, integrate, modernize, or replace existing solutions. Manage ongoing architectural relationships with key technology vendors and system integrators, holding them accountable to agreed designs and standards. Act as a trusted advisor and connective tissue between business stakeholders, vendors, and internal development teams throughout the project lifecycle. Governance & Mentorship Establish and facilitate architecture governance processes (e.g., an architecture review board) to ensure new initiatives align with enterprise direction. Maintain a risk register and technical debt inventory tied directly to the modernization roadmap, with mitigation and remediation plans. Mentor architects, senior developers, and technical leads, building internal architecture capability and modernization know-how over time. Review significant technology proposals, solution approaches, and modernization recommendations to ensure alignment with enterprise architecture standards and strategic direction. Required Qualifications Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent professional experience. 10+ years of progressive IT experience, including at least 5 years in an enterprise or solution architecture role. Deep, hands-on background with Java and .NET application design and development, sufficient to assess and guide modernization of long-lived, complex codebases. Experience working with Oracle database platforms in an enterprise setting (schema design, performance, migration, or modernization). Experience integrating, customizing, or governing COTS/vendor products within a broader enterprise architecture. Demonstrated experience architecting and operating in hybrid environments spanning on-premises infrastructure and one or more public cloud platforms (AWS, Azure, or OCI). Track record of developing technology roadmaps and leading multi-year modernization initiatives. Strong stakeholder and vendor management skills, with the ability to influence without direct authority. Excellent verbal and written communication skills, with the ability to move fluidly between deep technical detail and executive-level messaging. Preferred Qualifications Experience working within a government, public-sector, or other highly regulated environment. Familiarity with established enterprise architecture frameworks (e.g., TOGAF, Zachman) and modernization patterns (e.g., strangler-fig, API-led integration, microservices decomposition). Experience with DevSecOps practices, CI/CD pipelines, and containerization/orchestration technologies as modernization targets. Relevant industry certifications (architecture, cloud platform, or database) are a plus but not required. . click apply for full job details
Senior Technical Architect
Edward Jones Saint Louis, Missouri
Edward Jones is seeking a Technical Architect to design and guide modern, secure technology solutions that power our client-first financial services. In this role, you will define application and integration architectures, champion cloud-native and API-driven designs, and ensure platforms meet stringent security, reliability, and regulatory standards for the finance and insurance industry. You will partner closely with engineering, product, cybersecurity, and business leaders to translate strategy into scalable technical roadmaps, mentor developers, and drive best practices in architecture governance, solution design, and technology selection to support firm-wide growth and innovation. Responsibilities Design and document enterprise and solution architectures for key platforms and applications Define cloud-native, API-driven, and integration patterns for scalable systems Ensure solutions meet security, compliance, and reliability standards for financial services Collaborate with engineering, product, and business stakeholders to translate strategy into technical roadmaps Lead architecture reviews and govern adherence to standards and reference architectures Evaluate and recommend technologies, tools, and platforms aligned to firm strategy Guide implementation teams through complex design decisions and trade-offs Mentor developers and engineers on architectural best practices and patterns Support modernization of legacy systems and migration to cloud and modern platforms Partner with cybersecurity and risk teams to embed controls and data protection into designs Required Skills Enterprise and solution architecture Cloud platforms (AWS, Azure, or GCP) Microservices and API design (REST/JSON) Integration patterns and middleware Security and compliance for financial systems Data architecture and system design Architecture modeling tools and documentation Dev Ops and CI/CD concepts Legacy modernization and migration strategies Stakeholder communication and technical leadership
11/03/2026
Full time
Edward Jones is seeking a Technical Architect to design and guide modern, secure technology solutions that power our client-first financial services. In this role, you will define application and integration architectures, champion cloud-native and API-driven designs, and ensure platforms meet stringent security, reliability, and regulatory standards for the finance and insurance industry. You will partner closely with engineering, product, cybersecurity, and business leaders to translate strategy into scalable technical roadmaps, mentor developers, and drive best practices in architecture governance, solution design, and technology selection to support firm-wide growth and innovation. Responsibilities Design and document enterprise and solution architectures for key platforms and applications Define cloud-native, API-driven, and integration patterns for scalable systems Ensure solutions meet security, compliance, and reliability standards for financial services Collaborate with engineering, product, and business stakeholders to translate strategy into technical roadmaps Lead architecture reviews and govern adherence to standards and reference architectures Evaluate and recommend technologies, tools, and platforms aligned to firm strategy Guide implementation teams through complex design decisions and trade-offs Mentor developers and engineers on architectural best practices and patterns Support modernization of legacy systems and migration to cloud and modern platforms Partner with cybersecurity and risk teams to embed controls and data protection into designs Required Skills Enterprise and solution architecture Cloud platforms (AWS, Azure, or GCP) Microservices and API design (REST/JSON) Integration patterns and middleware Security and compliance for financial systems Data architecture and system design Architecture modeling tools and documentation Dev Ops and CI/CD concepts Legacy modernization and migration strategies Stakeholder communication and technical leadership
Mobile Baseband Software Engineer
Intezra, Inc. Columbia, Maryland
Job Description Job Description Job Description Mobile Baseband Software Engineer Columbia, MD Full Time TS/SCI with Full-Scope Polygraph Required Position: Mobile Baseband Software Engineer (Computer Scientist, Level 2 or Level 3) Location: Columbia, MD (on-site) Category: Software Development / Mobile Baseband / Reverse Engineering Clearance Requirement: Active TS/SCI with Full-Scope Polygraph Compensation: $150,000 - $205,000 (annualized USD) Experience Requirement: Level 2: 5+ years with a Bachelor's degree, OR 3+ years with a Master's degree, OR Level 3: 10+ years with a Bachelor's degree, OR 8+ years with a Master's degree At least 3 years of cybersecurity-related software development experience Degree must be in Computer Science, Computer Engineering, or a closely related discipline Description We are looking for an experienced Baseband team member to support the development of new and existing capabilities on mobile platforms. You'll work close to the metal - combining strong C programming skills with reverse engineering across diverse architectures to extend baseband capabilities and analyze how mobile devices behave at the protocol and platform level. This is hands-on, deeply technical work in a small team where your contributions directly shape the capability roadmap. Responsibilities Design and develop new baseband-related capabilities and extend existing ones. Perform analysis and reverse engineering of mobile devices and baseband components across multiple architectures. Write production-grade C code targeting constrained and embedded environments. Investigate device and protocol behavior, document findings, and turn them into actionable engineering work. Collaborate with subject matter experts, fellow developers, and end users on requirements, prototypes, and refinements. Contribute to code reviews, technical documentation, and design discussions. Skills Requirements Experience supporting development on or analysis of mobile devices. Strong proficiency in C programming. Reverse engineering experience across diverse architectures (e.g., ARM, MIPS, x86). Comfort working in Linux-based development environments. Familiarity with low-level debugging, embedded toolchains, and platform internals. Strong written and verbal communication skills. Nice to Haves Experience with vulnerability research. Experience with cellular/baseband protocols (LTE, 5G NR, etc.). Familiarity with firmware extraction and analysis. Experience with exploit development. Familiarity with Ghidra, IDA Pro, or radare2. Atlassian Tools (Jira, Confluence) and Git/GitLab workflows. Compensation Employment Policy Salary is determined by multiple factors, including location, education, experience, skills, and organizational requirements. The projected compensation range for this position is $150,000 - $205,000 (annualized USD). Benefits Overview At Intezra, Inc., we offer a comprehensive benefits package designed to support long-term career growth and work-life balance: Three CareFirst medical plans available; Intezra pays up to 100% of healthcare premiums and up to 100% of deductibles (based on plan selection) for employees and dependents Intezra pays 100% for CareFirst Dental and Vision plans for employees and dependents 401(k): 15% company contribution (no match required) PTO: 160 hours, increasing with seniority 12 Floating Holidays 4 Code Red Days EEO Statement Intezra, Inc. provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any kind without regard to race, color, religion, age, sex, national origin, disability status, genetics, pregnancy, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. About Us Intezra Inc. is a small business prime contractor for all realms of cyber and AI/ML development, from tactical-level tools and capabilities to enterprise-level infrastructure and operations. Our leadership team and staff have helped solve the most complex challenges for the intelligence community for over 15 years. , About Intezra, Inc. Intezra Inc. is a small business prime contractor for all realms of cyber and AI/ML development, from tactical-level tools and capabilities to enterprise-level infrastructure and operations. Our leadership team and staff have helped solve the most complex challenges for the intelligence community for over 15 years.
11/03/2026
Full time
Job Description Job Description Job Description Mobile Baseband Software Engineer Columbia, MD Full Time TS/SCI with Full-Scope Polygraph Required Position: Mobile Baseband Software Engineer (Computer Scientist, Level 2 or Level 3) Location: Columbia, MD (on-site) Category: Software Development / Mobile Baseband / Reverse Engineering Clearance Requirement: Active TS/SCI with Full-Scope Polygraph Compensation: $150,000 - $205,000 (annualized USD) Experience Requirement: Level 2: 5+ years with a Bachelor's degree, OR 3+ years with a Master's degree, OR Level 3: 10+ years with a Bachelor's degree, OR 8+ years with a Master's degree At least 3 years of cybersecurity-related software development experience Degree must be in Computer Science, Computer Engineering, or a closely related discipline Description We are looking for an experienced Baseband team member to support the development of new and existing capabilities on mobile platforms. You'll work close to the metal - combining strong C programming skills with reverse engineering across diverse architectures to extend baseband capabilities and analyze how mobile devices behave at the protocol and platform level. This is hands-on, deeply technical work in a small team where your contributions directly shape the capability roadmap. Responsibilities Design and develop new baseband-related capabilities and extend existing ones. Perform analysis and reverse engineering of mobile devices and baseband components across multiple architectures. Write production-grade C code targeting constrained and embedded environments. Investigate device and protocol behavior, document findings, and turn them into actionable engineering work. Collaborate with subject matter experts, fellow developers, and end users on requirements, prototypes, and refinements. Contribute to code reviews, technical documentation, and design discussions. Skills Requirements Experience supporting development on or analysis of mobile devices. Strong proficiency in C programming. Reverse engineering experience across diverse architectures (e.g., ARM, MIPS, x86). Comfort working in Linux-based development environments. Familiarity with low-level debugging, embedded toolchains, and platform internals. Strong written and verbal communication skills. Nice to Haves Experience with vulnerability research. Experience with cellular/baseband protocols (LTE, 5G NR, etc.). Familiarity with firmware extraction and analysis. Experience with exploit development. Familiarity with Ghidra, IDA Pro, or radare2. Atlassian Tools (Jira, Confluence) and Git/GitLab workflows. Compensation Employment Policy Salary is determined by multiple factors, including location, education, experience, skills, and organizational requirements. The projected compensation range for this position is $150,000 - $205,000 (annualized USD). Benefits Overview At Intezra, Inc., we offer a comprehensive benefits package designed to support long-term career growth and work-life balance: Three CareFirst medical plans available; Intezra pays up to 100% of healthcare premiums and up to 100% of deductibles (based on plan selection) for employees and dependents Intezra pays 100% for CareFirst Dental and Vision plans for employees and dependents 401(k): 15% company contribution (no match required) PTO: 160 hours, increasing with seniority 12 Floating Holidays 4 Code Red Days EEO Statement Intezra, Inc. provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any kind without regard to race, color, religion, age, sex, national origin, disability status, genetics, pregnancy, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. About Us Intezra Inc. is a small business prime contractor for all realms of cyber and AI/ML development, from tactical-level tools and capabilities to enterprise-level infrastructure and operations. Our leadership team and staff have helped solve the most complex challenges for the intelligence community for over 15 years. , About Intezra, Inc. Intezra Inc. is a small business prime contractor for all realms of cyber and AI/ML development, from tactical-level tools and capabilities to enterprise-level infrastructure and operations. Our leadership team and staff have helped solve the most complex challenges for the intelligence community for over 15 years.
Network Security Engineer - 100% Remote South East - US Only
Blue Mantis Reston, Virginia
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.
iOS Mobile Capability Developer
Intezra, Inc. Columbia, Maryland
Job Description Job Description Job Description iOS Mobile Capability Developer Columbia, MD Full Time TS/SCI with Full-Scope Polygraph Required Position: iOS Mobile Capability Developer (Computer Scientist, Level 1) Location: Columbia, MD (on-site) Category: Software Development / Mobile Embedded Platforms / Reverse Engineering Clearance Requirement: Active TS/SCI with Full-Scope Polygraph Compensation: $90,000 - $110,000 (annualized USD) Experience Requirement: 1+ year with a Bachelor's degree, OR 0+ years with a Master's degree At least 1 year of cybersecurity-related software development experience Degree must be in Computer Science, Computer Engineering, or a closely related discipline Description We are seeking an iOS-savvy software developer to join a small, mission-impactful team building new capabilities on mobile platforms. You'll combine deep iOS internals knowledge with reverse engineering skills to design, prototype, and harden tools that solve real, hard problems. This role offers room to grow alongside experienced engineers - you'll take ownership of components from the start, and your work will be deployed and used quickly rather than sitting in a backlog. Responsibilities Develop, modify, and integrate software targeting iOS and related Apple platforms. Reverse engineer iOS applications, libraries, and platform components to inform capability design. Prototype creative solutions to complex platform-level problems and iterate based on testing and user feedback. Produce and maintain technical documentation for the tools and components you build. Collaborate with senior engineers, analysts, and end users to refine requirements and approach. Skills Requirements Hands-on experience with iOS internals. Reverse engineering experience on mobile or embedded platforms. Production-grade software development experience in at least one systems language (C, C++, Objective-C, Swift). Familiarity with Linux/macOS development environments. Familiarity with Git and Atlassian tooling (Jira, Confluence). Strong critical thinking, communication, and collaboration skills. Nice to Haves Experience with ARM assembly and low-level debugging. Familiarity with iOS exploitation, jailbreak research, or vulnerability research. Experience with embedded firmware analysis. Exposure to Android, Bluetooth, or other adjacent mobile platforms. Familiarity with GitLab CI/CD workflows. Compensation Employment Policy Salary is determined by multiple factors, including location, education, experience, skills, and organizational requirements. The projected compensation range for this position is $90,000 - $110,000 (annualized USD). Benefits Overview At Intezra, Inc., we offer a comprehensive benefits package designed to support long-term career growth and work-life balance: Three CareFirst medical plans available; Intezra pays up to 100% of healthcare premiums and up to 100% of deductibles (based on plan selection) for employees and dependents Intezra pays 100% for CareFirst Dental and Vision plans for employees and dependents 401(k): 15% company contribution (no match required) PTO: 160 hours, increasing with seniority 12 Floating Holidays 4 Code Red Days EEO Statement Intezra, Inc. provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any kind without regard to race, color, religion, age, sex, national origin, disability status, genetics, pregnancy, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. About Us Intezra Inc. is a small business prime contractor for all realms of cyber and AI/ML development, from tactical-level tools and capabilities to enterprise-level infrastructure and operations. Our leadership team and staff have helped solve the most complex challenges for the intelligence community for over 15 years. , About Intezra, Inc. Intezra Inc. is a small business prime contractor for all realms of cyber and AI/ML development, from tactical-level tools and capabilities to enterprise-level infrastructure and operations. Our leadership team and staff have helped solve the most complex challenges for the intelligence community for over 15 years.
11/03/2026
Full time
Job Description Job Description Job Description iOS Mobile Capability Developer Columbia, MD Full Time TS/SCI with Full-Scope Polygraph Required Position: iOS Mobile Capability Developer (Computer Scientist, Level 1) Location: Columbia, MD (on-site) Category: Software Development / Mobile Embedded Platforms / Reverse Engineering Clearance Requirement: Active TS/SCI with Full-Scope Polygraph Compensation: $90,000 - $110,000 (annualized USD) Experience Requirement: 1+ year with a Bachelor's degree, OR 0+ years with a Master's degree At least 1 year of cybersecurity-related software development experience Degree must be in Computer Science, Computer Engineering, or a closely related discipline Description We are seeking an iOS-savvy software developer to join a small, mission-impactful team building new capabilities on mobile platforms. You'll combine deep iOS internals knowledge with reverse engineering skills to design, prototype, and harden tools that solve real, hard problems. This role offers room to grow alongside experienced engineers - you'll take ownership of components from the start, and your work will be deployed and used quickly rather than sitting in a backlog. Responsibilities Develop, modify, and integrate software targeting iOS and related Apple platforms. Reverse engineer iOS applications, libraries, and platform components to inform capability design. Prototype creative solutions to complex platform-level problems and iterate based on testing and user feedback. Produce and maintain technical documentation for the tools and components you build. Collaborate with senior engineers, analysts, and end users to refine requirements and approach. Skills Requirements Hands-on experience with iOS internals. Reverse engineering experience on mobile or embedded platforms. Production-grade software development experience in at least one systems language (C, C++, Objective-C, Swift). Familiarity with Linux/macOS development environments. Familiarity with Git and Atlassian tooling (Jira, Confluence). Strong critical thinking, communication, and collaboration skills. Nice to Haves Experience with ARM assembly and low-level debugging. Familiarity with iOS exploitation, jailbreak research, or vulnerability research. Experience with embedded firmware analysis. Exposure to Android, Bluetooth, or other adjacent mobile platforms. Familiarity with GitLab CI/CD workflows. Compensation Employment Policy Salary is determined by multiple factors, including location, education, experience, skills, and organizational requirements. The projected compensation range for this position is $90,000 - $110,000 (annualized USD). Benefits Overview At Intezra, Inc., we offer a comprehensive benefits package designed to support long-term career growth and work-life balance: Three CareFirst medical plans available; Intezra pays up to 100% of healthcare premiums and up to 100% of deductibles (based on plan selection) for employees and dependents Intezra pays 100% for CareFirst Dental and Vision plans for employees and dependents 401(k): 15% company contribution (no match required) PTO: 160 hours, increasing with seniority 12 Floating Holidays 4 Code Red Days EEO Statement Intezra, Inc. provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any kind without regard to race, color, religion, age, sex, national origin, disability status, genetics, pregnancy, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. About Us Intezra Inc. is a small business prime contractor for all realms of cyber and AI/ML development, from tactical-level tools and capabilities to enterprise-level infrastructure and operations. Our leadership team and staff have helped solve the most complex challenges for the intelligence community for over 15 years. , About Intezra, Inc. Intezra Inc. is a small business prime contractor for all realms of cyber and AI/ML development, from tactical-level tools and capabilities to enterprise-level infrastructure and operations. Our leadership team and staff have helped solve the most complex challenges for the intelligence community for over 15 years.
Raytheon
Senior Systems Engineer - Software Systems (Onsite)
Raytheon Tucson, Arizona
Date Posted: 2026-08-04 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 805 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: Top Secret - Current Security Clearance Status: Active and existing security clearance required on day 1 At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. The Systems Engineering and Test Capabilities (SETC) organization is currently hiring a Senior Systems Engineer to join our Tucson, AZ location. SETC is an exciting and challenging environment where you will have the opportunity to design, develop and partner with multi-disciplines to shape innovative solutions for our customers. Join our organization and experience the Systems V engineering life cycle while interfacing with a variety of engineering disciplines, subject matter experts, Chief Engineers, Chief Technologists, the customer, and so many more to ensure we design, integrate, and strengthen our systems to work the first time and every time for our warfighters! As a Senior Systems Engineer you will support missile programs as a Software-focused Responsible Systems engineer, contributing directly to successful software requirements and integration for both fielded and development missile systems. These responsibilities include managing system and subsystem requirements, providing SE technical oversight during integration and test activities, participating in verification and validation efforts for the system, and providing SE expertise in troubleshooting and failure investigations. The Software-Systems role requires a high level of technical proficiency in the area of embedded software design, integration and test. This included multi-disciplined coordination, and establishing and maintaining relationships with the embedded software team and customer technical community. In this role, you will have the opportunity to work on an effectors project pertinent to the systems lifecycle. This role is 100% on-site at our Tucson, AZ campus with the possibility of occasional travel. What You Will Do Update and maintain all system and subsystem level requirements specifications for embedded software, configurable logic and/or test systems software Model the system and the system development and production processes using Cameo Conduct Trade Studies and present results to customers SE technical contributor for verification and validation efforts, ensuring all requirements are being assessed Work closely with the Systems, Software, Configurable Logic and Test teams on a variety of program technical tasks Participate in technical conversations with the customer Become a knowledgeable and 'go-to' Systems Engineer for the software centric program capabilities Help to onboard new team members, mentor, and guide them using core Systems Engineering skills Qualifications You Must Have Typically requires a Bachelor's in Science, Technology, Engineering, or Mathematics (STEM preferred) and a minimum of 5 years of prior engineering experience. Experience in Systems Engineering Experience in Model-Based Systems Engineering (MBSE), Requirements Development, Requirements Management, Requirements Verification, or Integration and Test for software products Qualifications We Prefer Masters or PhD in Engineering, Math or Physics Experience using Agile framework development methods / processes Experience with Agile, Model-Based Systems Engineering (MBSE), and/or Digital Engineering Experience presenting analytical and technical presentations Experience evaluating and mitigating technical risks A self-starter who can take on task with limited guidance Customer focus and collaboration skills Experience with performance analysis Experience with DOORS and/or cPDM Experience using Azure DevOps methods/tools Experience with Matlab, C, C#, C++, Python Ability to perform trade studies to optimize system performance Understanding of Systems Engineering Product Development Cycle Familiarity with system safety, reliability, and configuration management Experience working in an integration lab, test facility, or in the field supporting integration and/or verification. Experience evaluating systems using simulated environments Experience generating technical documentation such as trade studies, test plans, procedures or technical reports. Experience in integration with test equipment, telemetry data analysis tools, and missile systems host platforms What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Relocation Eligible - Relocation assistance is available Learn More & Apply Now! Please consider the following role type definition as you apply for this role. Onsite : Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: This position is an onsite role - Tucson, AZ: ,-az-location We Are RTX As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 86,800 USD - 165,200 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
11/03/2026
Full time
Date Posted: 2026-08-04 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 805 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: Top Secret - Current Security Clearance Status: Active and existing security clearance required on day 1 At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. The Systems Engineering and Test Capabilities (SETC) organization is currently hiring a Senior Systems Engineer to join our Tucson, AZ location. SETC is an exciting and challenging environment where you will have the opportunity to design, develop and partner with multi-disciplines to shape innovative solutions for our customers. Join our organization and experience the Systems V engineering life cycle while interfacing with a variety of engineering disciplines, subject matter experts, Chief Engineers, Chief Technologists, the customer, and so many more to ensure we design, integrate, and strengthen our systems to work the first time and every time for our warfighters! As a Senior Systems Engineer you will support missile programs as a Software-focused Responsible Systems engineer, contributing directly to successful software requirements and integration for both fielded and development missile systems. These responsibilities include managing system and subsystem requirements, providing SE technical oversight during integration and test activities, participating in verification and validation efforts for the system, and providing SE expertise in troubleshooting and failure investigations. The Software-Systems role requires a high level of technical proficiency in the area of embedded software design, integration and test. This included multi-disciplined coordination, and establishing and maintaining relationships with the embedded software team and customer technical community. In this role, you will have the opportunity to work on an effectors project pertinent to the systems lifecycle. This role is 100% on-site at our Tucson, AZ campus with the possibility of occasional travel. What You Will Do Update and maintain all system and subsystem level requirements specifications for embedded software, configurable logic and/or test systems software Model the system and the system development and production processes using Cameo Conduct Trade Studies and present results to customers SE technical contributor for verification and validation efforts, ensuring all requirements are being assessed Work closely with the Systems, Software, Configurable Logic and Test teams on a variety of program technical tasks Participate in technical conversations with the customer Become a knowledgeable and 'go-to' Systems Engineer for the software centric program capabilities Help to onboard new team members, mentor, and guide them using core Systems Engineering skills Qualifications You Must Have Typically requires a Bachelor's in Science, Technology, Engineering, or Mathematics (STEM preferred) and a minimum of 5 years of prior engineering experience. Experience in Systems Engineering Experience in Model-Based Systems Engineering (MBSE), Requirements Development, Requirements Management, Requirements Verification, or Integration and Test for software products Qualifications We Prefer Masters or PhD in Engineering, Math or Physics Experience using Agile framework development methods / processes Experience with Agile, Model-Based Systems Engineering (MBSE), and/or Digital Engineering Experience presenting analytical and technical presentations Experience evaluating and mitigating technical risks A self-starter who can take on task with limited guidance Customer focus and collaboration skills Experience with performance analysis Experience with DOORS and/or cPDM Experience using Azure DevOps methods/tools Experience with Matlab, C, C#, C++, Python Ability to perform trade studies to optimize system performance Understanding of Systems Engineering Product Development Cycle Familiarity with system safety, reliability, and configuration management Experience working in an integration lab, test facility, or in the field supporting integration and/or verification. Experience evaluating systems using simulated environments Experience generating technical documentation such as trade studies, test plans, procedures or technical reports. Experience in integration with test equipment, telemetry data analysis tools, and missile systems host platforms What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Relocation Eligible - Relocation assistance is available Learn More & Apply Now! Please consider the following role type definition as you apply for this role. Onsite : Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: This position is an onsite role - Tucson, AZ: ,-az-location We Are RTX As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 86,800 USD - 165,200 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
Staff Machine Learning Engineer, Platform (MLOPS)
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
Senior AI/ML Engineer
Jobot McLean, Virginia
New US based .NET team tasked with making an existing, modern platform utilize Microsoft's latest suite of enterprise AI tools and services. 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: $160,000 - $200,000 per year A bit about us: We're transforming how government agencies digitize forms and automate workflows. Our new initiative brings AI directly into this process - using LLMs, vector search, and structured PDF parsing to accelerate public service delivery. We're not just bolting AI onto the side. It's becoming core to how our platform works. We're looking for a senior machine learning engineer to take the lead on this effort. You'll be the architect of our AI capability - not just a contributor. Your work will touch thousands of public-facing government forms, helping real people get things done faster and more accurately. This isn't an R&D team running experiments - it's about delivering intelligent automation, right now. Why join us? 100% remote based in the US Help shape the AI transformation of public sector services Lead initiatives that ship real impact, not just prototypes Greenfield development on a proven, profitable platform Comprehensive Health, Vision, Dental coverage for individuals and families Job Details You'll design and build our machine learning infrastructure - starting with vector search and retrieval-augmented generation and expanding into fine-tuned LLMs with human feedback loops. You'll work across product and engineering to embed intelligent behaviors into our no-code form builder. This is not a research job or a sandbox role - it's a real opportunity to push AI into production at scale. What you'll do Build and tune vector-based retrieval pipelines using OpenAI embeddings and Azure AI Search Design prompt strategies and agents to translate parsed PDF data into form component schemas Fine-tune LLMs for structured output generation with low-latency performance in mind Lead the development of an RLHF loop that incorporates builder UI feedback and audit data Help architect systems that blend traditional APIs and probabilistic inference reliably Work alongside full-stack and platform engineers to get it all running in production Stay plugged into the latest model capabilities, and make smart calls on what to adopt Tech you'll use Azure AI Studio, Azure OpenAI, GPT-4o Python (for agents, functions, orchestration), .NET 8 (for integration layers) Azure AI Search, CosmosDB, MSSQL Kubernetes (AKS), Azure Blob, Octopus for CI/CD Extend.ai for structured PDF parsing What we're looking for 5+ years in applied ML, including experience with retrieval, embeddings, and prompt engineering Strong Python skills and familiarity with production-grade ML pipelines Experience designing and tuning RAG workflows with hybrid search Familiarity with RLHF and fine-tuning on structured JSON output Solid grasp of system-level thinking-how to bring ML into product environments cleanly Nice to have: .NET understanding, especially for integration and orchestration layers What success looks like in 6 months You've shipped a working vector search + RAG pipeline integrated into our form builder You've scoped and kicked off our first LLM fine-tuning cycle We're collecting human feedback to improve model accuracy You've helped define the roadmap for AI integrations across the platform 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
New US based .NET team tasked with making an existing, modern platform utilize Microsoft's latest suite of enterprise AI tools and services. 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: $160,000 - $200,000 per year A bit about us: We're transforming how government agencies digitize forms and automate workflows. Our new initiative brings AI directly into this process - using LLMs, vector search, and structured PDF parsing to accelerate public service delivery. We're not just bolting AI onto the side. It's becoming core to how our platform works. We're looking for a senior machine learning engineer to take the lead on this effort. You'll be the architect of our AI capability - not just a contributor. Your work will touch thousands of public-facing government forms, helping real people get things done faster and more accurately. This isn't an R&D team running experiments - it's about delivering intelligent automation, right now. Why join us? 100% remote based in the US Help shape the AI transformation of public sector services Lead initiatives that ship real impact, not just prototypes Greenfield development on a proven, profitable platform Comprehensive Health, Vision, Dental coverage for individuals and families Job Details You'll design and build our machine learning infrastructure - starting with vector search and retrieval-augmented generation and expanding into fine-tuned LLMs with human feedback loops. You'll work across product and engineering to embed intelligent behaviors into our no-code form builder. This is not a research job or a sandbox role - it's a real opportunity to push AI into production at scale. What you'll do Build and tune vector-based retrieval pipelines using OpenAI embeddings and Azure AI Search Design prompt strategies and agents to translate parsed PDF data into form component schemas Fine-tune LLMs for structured output generation with low-latency performance in mind Lead the development of an RLHF loop that incorporates builder UI feedback and audit data Help architect systems that blend traditional APIs and probabilistic inference reliably Work alongside full-stack and platform engineers to get it all running in production Stay plugged into the latest model capabilities, and make smart calls on what to adopt Tech you'll use Azure AI Studio, Azure OpenAI, GPT-4o Python (for agents, functions, orchestration), .NET 8 (for integration layers) Azure AI Search, CosmosDB, MSSQL Kubernetes (AKS), Azure Blob, Octopus for CI/CD Extend.ai for structured PDF parsing What we're looking for 5+ years in applied ML, including experience with retrieval, embeddings, and prompt engineering Strong Python skills and familiarity with production-grade ML pipelines Experience designing and tuning RAG workflows with hybrid search Familiarity with RLHF and fine-tuning on structured JSON output Solid grasp of system-level thinking-how to bring ML into product environments cleanly Nice to have: .NET understanding, especially for integration and orchestration layers What success looks like in 6 months You've shipped a working vector search + RAG pipeline integrated into our form builder You've scoped and kicked off our first LLM fine-tuning cycle We're collecting human feedback to improve model accuracy You've helped define the roadmap for AI integrations across the platform 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:
AI Architect (AI Security + Federal)
Jobot Chestnut Hill, Massachusetts
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
AI Architect (AI Security + Federal)
Jobot West Mclean, Virginia
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
Senior Manager, Collaboration
Jobot Louisville, Kentucky
Senior Manager, Collaboration / / IT and AI enablement / Fortune 500 company / Great team This Jobot Job is hosted by: Joseph Sipocz Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $180,000 - $210,000 per year A bit about us: Our client is a large, established organization focused on technology modernization, operational excellence, and improving the employee experience through innovative digital solutions. The organization is investing in enterprise collaboration platforms and AI-enabled productivity tools to create more secure, efficient, and seamless ways of working. This role offers the opportunity to influence enterprise-wide technology strategy, lead collaboration engineering initiatives, and partner with business and IT leaders to modernize the digital workplace. Why join us? Top tier benefits Good vacation / time off package 401K / match HSA match Hybrid - remote is possible, but will require travel 20-40% bonus - total compensation is around $250,000 (+/-) annually Tons of growth Other fun things: Strategic Leadership: Shape the enterprise vision and architecture for collaboration and productivity platforms. AI & Innovation: Drive practical AI adoption and automation to improve productivity and the employee experience. Enterprise Impact: Lead initiatives that affect how colleagues communicate, collaborate, manage information, and work across the organization. Leadership Opportunity: Build and develop a high-performing engineering team while partnering with senior business and technology stakeholders. Modern Work Environment: Work in a hybrid setting with three days per week onsite at a designated office. Job Details Responsibilities Lead and develop a high-performing collaboration engineering team, establishing strong engineering practices, automation, accountability, and continuous improvement. Define and evolve enterprise collaboration architecture across Microsoft 365, Teams, SharePoint, OneDrive, Exchange Online, and Zoom. Establish platform roadmaps, reference architectures, design standards, and governance frameworks that support scalability, security, compliance, and business priorities. Partner with Cybersecurity teams to strengthen identity management, access governance, and Zero Trust security practices. - Oversee platform configuration, integration, content governance, information architecture, and SharePoint migration strategies. Monitor platform reliability, performance, adoption, and user experience using analytics and measurable service objectives. Serve as the escalation point for complex technical issues involving collaboration platforms and enterprise integrations. Identify and implement AI-enabled workflows that improve information discovery, document creation, meeting follow-ups, knowledge sharing, and routine business processes. Partner with business functions to drive adoption of collaboration and AI tools through training, communications, coaching, and change management. Measure productivity improvements, user adoption, time savings, and satisfaction to identify opportunities for continued optimization. Manage vendor relationships, licensing strategy, contract negotiations, renewals, and technology roadmaps. Evaluate emerging technologies and champion modern workplace practices across the organization. Qualifications Bachelor's degree in Information Technology, Computer Science, or a related field. 10+ years of IT experience, with a focus on enterprise collaboration platforms. Demonstrated experience managing and architecting enterprise solutions involving Microsoft 365, Teams, Zoom, and SharePoint. Strong understanding of collaboration platform security, governance, compliance, and information management. Experience leading cross-functional technology initiatives and driving adoption of new tools and processes. Proven leadership, vendor management, communication, and stakeholder engagement skills. Ability to translate technical strategy and performance metrics into business outcomes. Preferred Qualifications Experience in the utilities industry or another highly regulated environment. Microsoft 365 Certified: Enterprise Administrator Expert or equivalent certification. Experience with cloud collaboration integrations and digital workplace transformation initiatives. Ideal Candidate The ideal candidate is a strategic technology leader who combines deep collaboration-platform expertise with strong people leadership and business partnership skills. They can establish enterprise architecture and governance standards while remaining focused on practical solutions that improve productivity, security, adoption, and the overall employee experience. 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
Senior Manager, Collaboration / / IT and AI enablement / Fortune 500 company / Great team This Jobot Job is hosted by: Joseph Sipocz Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $180,000 - $210,000 per year A bit about us: Our client is a large, established organization focused on technology modernization, operational excellence, and improving the employee experience through innovative digital solutions. The organization is investing in enterprise collaboration platforms and AI-enabled productivity tools to create more secure, efficient, and seamless ways of working. This role offers the opportunity to influence enterprise-wide technology strategy, lead collaboration engineering initiatives, and partner with business and IT leaders to modernize the digital workplace. Why join us? Top tier benefits Good vacation / time off package 401K / match HSA match Hybrid - remote is possible, but will require travel 20-40% bonus - total compensation is around $250,000 (+/-) annually Tons of growth Other fun things: Strategic Leadership: Shape the enterprise vision and architecture for collaboration and productivity platforms. AI & Innovation: Drive practical AI adoption and automation to improve productivity and the employee experience. Enterprise Impact: Lead initiatives that affect how colleagues communicate, collaborate, manage information, and work across the organization. Leadership Opportunity: Build and develop a high-performing engineering team while partnering with senior business and technology stakeholders. Modern Work Environment: Work in a hybrid setting with three days per week onsite at a designated office. Job Details Responsibilities Lead and develop a high-performing collaboration engineering team, establishing strong engineering practices, automation, accountability, and continuous improvement. Define and evolve enterprise collaboration architecture across Microsoft 365, Teams, SharePoint, OneDrive, Exchange Online, and Zoom. Establish platform roadmaps, reference architectures, design standards, and governance frameworks that support scalability, security, compliance, and business priorities. Partner with Cybersecurity teams to strengthen identity management, access governance, and Zero Trust security practices. - Oversee platform configuration, integration, content governance, information architecture, and SharePoint migration strategies. Monitor platform reliability, performance, adoption, and user experience using analytics and measurable service objectives. Serve as the escalation point for complex technical issues involving collaboration platforms and enterprise integrations. Identify and implement AI-enabled workflows that improve information discovery, document creation, meeting follow-ups, knowledge sharing, and routine business processes. Partner with business functions to drive adoption of collaboration and AI tools through training, communications, coaching, and change management. Measure productivity improvements, user adoption, time savings, and satisfaction to identify opportunities for continued optimization. Manage vendor relationships, licensing strategy, contract negotiations, renewals, and technology roadmaps. Evaluate emerging technologies and champion modern workplace practices across the organization. Qualifications Bachelor's degree in Information Technology, Computer Science, or a related field. 10+ years of IT experience, with a focus on enterprise collaboration platforms. Demonstrated experience managing and architecting enterprise solutions involving Microsoft 365, Teams, Zoom, and SharePoint. Strong understanding of collaboration platform security, governance, compliance, and information management. Experience leading cross-functional technology initiatives and driving adoption of new tools and processes. Proven leadership, vendor management, communication, and stakeholder engagement skills. Ability to translate technical strategy and performance metrics into business outcomes. Preferred Qualifications Experience in the utilities industry or another highly regulated environment. Microsoft 365 Certified: Enterprise Administrator Expert or equivalent certification. Experience with cloud collaboration integrations and digital workplace transformation initiatives. Ideal Candidate The ideal candidate is a strategic technology leader who combines deep collaboration-platform expertise with strong people leadership and business partnership skills. They can establish enterprise architecture and governance standards while remaining focused on practical solutions that improve productivity, security, adoption, and the overall employee experience. 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:
Senior Software Engineer(.NET) - Secret Clearance
Xcelerate Solutions Arlington, Virginia
Job Description Job Description About the Mission You Will Join: The Department of State has entrusted VMD to perform internal and external-facing informational websites and web applications activities specifically for the Bureau of Consular Affairs. VMD's mission is to perform operations and maintenance/decommissioning & modernization activities over legacy websites to support ongoing operations and the modernization of its website governance, architecture, and design. Your Impact to the Mission: VMD has an exciting opportunity for you to join as a Sr. Software Engineer (.Net) working in our Arlington, VA office. In this role, you'll have the opportunity to: Leverage your passion to develop strong, functional, and efficient code across legacy and modern platforms. Work on highly talented Agile team(s) within SAFe-like methodology, to define architecture, design, build and implement solutions, and support development of internal and public-facing, web or mobile applications. Provide technical knowledge, analysis, and troubleshooting of database applications and their production environments. Consult with customer and external contract teams to meet program and release goals. Experience Needed to Be Successful: 5 years hands-on experience with most of the desired technologies, tools, and platforms below: Framework(s): ASP.NET, .Net 4 Language(s): C#, HTML, CSS, JavaScript, JQuery, XML Front-end Development: Bootstrap, AngularJS, MVC, AJAX, Web Services, Kendo Database(s): Oracle 11g and 19c, PL/SQL, Toad Platform/Tools: Visual Studio, IIS, Windows Server, HTTPS, Ansible Strong Agile, SDLC, and DevSecOps process experience Experience working in a consulting/services organization Desired Qualifications and Experience: Department of State or Bureau of Consular Affairs experience is a plus Basic Qualifiers: Education Requirement: Bachelor's degree in computer science or related field Can Additional Years of Experience Substitute for Degree? Yes Minimum Years of Overall Experience: 5 Minimum Years of Specific Experience in Field: 5 Minimum Clearance to Start: Interim Secret Work Status Allowable: US Citizen The Type of Person That Will Excel: You are curious, inquisitive, are always learning, and are team oriented You have strong attention to detail. You demonstrate personal accountability and integrity in all actions. Travel and Telecommuting: Travel: Little (less than 10%) Telecommute Options: Currently hybrid remote, although customer could order us to return to Ballston location. Initial month will likely require daily work at Ballston office. Company Description Xcelerate is a leading defense and national security company, delivering integrated solutions across five service areas-Enterprise Vetting & Analysis, Critical Infrastructure Protection, Digital Solutions, Cyber Security, and Strategic Consulting. We are a trusted partner to the Department of Defense, Department of Homeland Security, numerous law enforcement and civilian agencies, and the Intelligence Community. Our customers are directly responsible for the security and safety of the United States. Company Description Xcelerate is a leading defense and national security company, delivering integrated solutions across five service areas-Enterprise Vetting & Analysis, Critical Infrastructure Protection, Digital Solutions, Cyber Security, and Strategic Consulting. We are a trusted partner to the Department of Defense, Department of Homeland Security, numerous law enforcement and civilian agencies, and the Intelligence Community. Our customers are directly responsible for the security and safety of the United States.
11/03/2026
Full time
Job Description Job Description About the Mission You Will Join: The Department of State has entrusted VMD to perform internal and external-facing informational websites and web applications activities specifically for the Bureau of Consular Affairs. VMD's mission is to perform operations and maintenance/decommissioning & modernization activities over legacy websites to support ongoing operations and the modernization of its website governance, architecture, and design. Your Impact to the Mission: VMD has an exciting opportunity for you to join as a Sr. Software Engineer (.Net) working in our Arlington, VA office. In this role, you'll have the opportunity to: Leverage your passion to develop strong, functional, and efficient code across legacy and modern platforms. Work on highly talented Agile team(s) within SAFe-like methodology, to define architecture, design, build and implement solutions, and support development of internal and public-facing, web or mobile applications. Provide technical knowledge, analysis, and troubleshooting of database applications and their production environments. Consult with customer and external contract teams to meet program and release goals. Experience Needed to Be Successful: 5 years hands-on experience with most of the desired technologies, tools, and platforms below: Framework(s): ASP.NET, .Net 4 Language(s): C#, HTML, CSS, JavaScript, JQuery, XML Front-end Development: Bootstrap, AngularJS, MVC, AJAX, Web Services, Kendo Database(s): Oracle 11g and 19c, PL/SQL, Toad Platform/Tools: Visual Studio, IIS, Windows Server, HTTPS, Ansible Strong Agile, SDLC, and DevSecOps process experience Experience working in a consulting/services organization Desired Qualifications and Experience: Department of State or Bureau of Consular Affairs experience is a plus Basic Qualifiers: Education Requirement: Bachelor's degree in computer science or related field Can Additional Years of Experience Substitute for Degree? Yes Minimum Years of Overall Experience: 5 Minimum Years of Specific Experience in Field: 5 Minimum Clearance to Start: Interim Secret Work Status Allowable: US Citizen The Type of Person That Will Excel: You are curious, inquisitive, are always learning, and are team oriented You have strong attention to detail. You demonstrate personal accountability and integrity in all actions. Travel and Telecommuting: Travel: Little (less than 10%) Telecommute Options: Currently hybrid remote, although customer could order us to return to Ballston location. Initial month will likely require daily work at Ballston office. Company Description Xcelerate is a leading defense and national security company, delivering integrated solutions across five service areas-Enterprise Vetting & Analysis, Critical Infrastructure Protection, Digital Solutions, Cyber Security, and Strategic Consulting. We are a trusted partner to the Department of Defense, Department of Homeland Security, numerous law enforcement and civilian agencies, and the Intelligence Community. Our customers are directly responsible for the security and safety of the United States. Company Description Xcelerate is a leading defense and national security company, delivering integrated solutions across five service areas-Enterprise Vetting & Analysis, Critical Infrastructure Protection, Digital Solutions, Cyber Security, and Strategic Consulting. We are a trusted partner to the Department of Defense, Department of Homeland Security, numerous law enforcement and civilian agencies, and the Intelligence Community. Our customers are directly responsible for the security and safety of the United States.
AI Architect (AI Security + Federal)
Jobot Washington, Washington DC
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
Senior / Staff Software Engineer (Agentic AI Infrastructure)
Jobot New York, New York
Build the Future of Agentic AI Staff/Senior Engineer Up to $250K + Equity High-Growth AI Startup 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 - $250,000 per year A bit about us: We are partnering with an exceptionally exciting, well-funded AI startup that is building next-generation technology to solve complex, high-impact challenges across government, enterprise, and highly regulated industries. Backed by leading institutional investors and an accomplished founding team with experience spanning major technology companies and senior government institutions, this organization is developing sophisticated AI-powered platforms that fundamentally transform how organizations access intelligence, conduct research, and execute complex workflows. This is an opportunity to join an ambitious startup at a pivotal stage of growth, working directly with the CTO and founding team to architect and build the core infrastructure powering its agentic AI platform. Unlike traditional software engineering roles focused on maintaining existing products, this position offers tremendous technical ownership, architectural influence, and the opportunity to build production-grade autonomous AI systems from the ground up. Why join us? Exceptional Technical Ownership: Own foundational AI infrastructure rather than a small component of an established platform. Your architectural decisions will directly influence the company's technology and future products. Direct Access to Leadership: Report directly to the CTO and collaborate closely with an accomplished founding team. Frontier Agentic AI Development: Work on genuinely complex AI engineering challenges involving autonomous agents, orchestration, reasoning, persistent memory, secure tool execution, and production reliability. Meaningful Equity & Startup Upside: Join a funded, high-potential AI startup at an early stage, with an opportunity to participate in the company's long-term success. High-Impact Applications: Build technology addressing sophisticated challenges across government, enterprise, and other mission-critical environments. Builder-Focused Engineering Culture: Work alongside ambitious, technically accomplished professionals who value ownership, execution, collaboration, and solving difficult problems. Compensation & Work Environment Base Salary: Up to $250,000 annually, with flexibility for exceptional candidates. Equity: Meaningful equity participation. Location: SoHo, New York City. Onsite Requirement: Five days per week, with 13 remote days available per quarter. Employment: Full-time, direct hire. This is an in-person, highly collaborative startup environment designed for engineers who thrive when working directly with leadership, moving quickly, and building innovative technology from the ground up. If you are passionate about agentic AI, enjoy solving technically challenging problems, and want the opportunity to make a meaningful impact on the future of autonomous AI systems, we would love to connect. Job Details tems, asynchronous execution, state management, APIs, and fault-tolerant application design. Experience with retrieval-augmented generation (RAG), context management, or knowledge retrieval systems. Understanding of the challenges associated with nondeterministic AI behavior, including reliability, evaluation, observability, and failure recovery. Ability to independently own complex engineering initiatives, make architectural decisions, and deliver production-ready solutions. Comfortable working in a fast-moving, early-stage startup environment with significant individual ownership. Preferred Qualifications Experience with agent orchestration technologies such as LangGraph, LangChain, AutoGen, CrewAI, or custom-built agent frameworks. Experience building persistent agent memory, multi-agent coordination, or long-running autonomous workflows. Experience developing AI evaluation frameworks, tracing infrastructure, or model observability platforms. Familiarity with multi-provider LLM architectures, inference optimization, and model-routing strategies. Experience with secure tool execution, permissioned actions, and human-in-the-loop approval systems. Background building AI platforms for government, defense, financial services, healthcare, legal technology, or other highly regulated environments. Previous experience at an early-stage AI startup or in a Staff/Principal-level engineering role. Experience building systems where source attribution, data provenance, and factual accuracy are essential. 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
Build the Future of Agentic AI Staff/Senior Engineer Up to $250K + Equity High-Growth AI Startup 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 - $250,000 per year A bit about us: We are partnering with an exceptionally exciting, well-funded AI startup that is building next-generation technology to solve complex, high-impact challenges across government, enterprise, and highly regulated industries. Backed by leading institutional investors and an accomplished founding team with experience spanning major technology companies and senior government institutions, this organization is developing sophisticated AI-powered platforms that fundamentally transform how organizations access intelligence, conduct research, and execute complex workflows. This is an opportunity to join an ambitious startup at a pivotal stage of growth, working directly with the CTO and founding team to architect and build the core infrastructure powering its agentic AI platform. Unlike traditional software engineering roles focused on maintaining existing products, this position offers tremendous technical ownership, architectural influence, and the opportunity to build production-grade autonomous AI systems from the ground up. Why join us? Exceptional Technical Ownership: Own foundational AI infrastructure rather than a small component of an established platform. Your architectural decisions will directly influence the company's technology and future products. Direct Access to Leadership: Report directly to the CTO and collaborate closely with an accomplished founding team. Frontier Agentic AI Development: Work on genuinely complex AI engineering challenges involving autonomous agents, orchestration, reasoning, persistent memory, secure tool execution, and production reliability. Meaningful Equity & Startup Upside: Join a funded, high-potential AI startup at an early stage, with an opportunity to participate in the company's long-term success. High-Impact Applications: Build technology addressing sophisticated challenges across government, enterprise, and other mission-critical environments. Builder-Focused Engineering Culture: Work alongside ambitious, technically accomplished professionals who value ownership, execution, collaboration, and solving difficult problems. Compensation & Work Environment Base Salary: Up to $250,000 annually, with flexibility for exceptional candidates. Equity: Meaningful equity participation. Location: SoHo, New York City. Onsite Requirement: Five days per week, with 13 remote days available per quarter. Employment: Full-time, direct hire. This is an in-person, highly collaborative startup environment designed for engineers who thrive when working directly with leadership, moving quickly, and building innovative technology from the ground up. If you are passionate about agentic AI, enjoy solving technically challenging problems, and want the opportunity to make a meaningful impact on the future of autonomous AI systems, we would love to connect. Job Details tems, asynchronous execution, state management, APIs, and fault-tolerant application design. Experience with retrieval-augmented generation (RAG), context management, or knowledge retrieval systems. Understanding of the challenges associated with nondeterministic AI behavior, including reliability, evaluation, observability, and failure recovery. Ability to independently own complex engineering initiatives, make architectural decisions, and deliver production-ready solutions. Comfortable working in a fast-moving, early-stage startup environment with significant individual ownership. Preferred Qualifications Experience with agent orchestration technologies such as LangGraph, LangChain, AutoGen, CrewAI, or custom-built agent frameworks. Experience building persistent agent memory, multi-agent coordination, or long-running autonomous workflows. Experience developing AI evaluation frameworks, tracing infrastructure, or model observability platforms. Familiarity with multi-provider LLM architectures, inference optimization, and model-routing strategies. Experience with secure tool execution, permissioned actions, and human-in-the-loop approval systems. Background building AI platforms for government, defense, financial services, healthcare, legal technology, or other highly regulated environments. Previous experience at an early-stage AI startup or in a Staff/Principal-level engineering role. Experience building systems where source attribution, data provenance, and factual accuracy are essential. 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:
Senior Endpoint Automation Engineer
Jobot New York, New York
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
Application Software Developers/Engineer
One Federal Solution Beltsville, Maryland
Job Description Job Description We are seeking motivated Application Software Developers/Engineers at the Senior, Intermediate, and Junior levels to support the USDA National Agricultural Library (NAL) scientific research data applications. This position provides Operations and Maintenance (O&M) support and application development for scientific data platforms including GeoData (open-source software), Ag Data Commons (SaaS platform with local data harvests), and related scientific research data products. The ideal candidate will have experience developing modern web applications, designing microservices, supporting scientific data repositories, and working within Linux-based environments using open-source technologies. Task and Duties: Provide Operations and Maintenance (O&M) support for NAL scientific research data applications. Design, develop, and maintain microservices supporting scientific data ingest, processing, and data egress. Develop and maintain system architecture documentation, API specifications, technical diagrams, and data models. Support application enhancements, software updates, testing, troubleshooting, deployment, and production releases. Configure and maintain SaaS application environments, including application configuration updates and data migration activities. Develop repository reporting dashboards and analytics for scientific repository usage and statistics. Design and implement RESTful APIs supporting internal and external integrations. Develop and execute testing protocols, quality assurance (QA) processes, automated testing, and UI testing. Support ETL processes and data migration activities for application modernization efforts. Ensure applications comply with federal accessibility standards, including Section 508 and WCAG 2.x AA requirements. Troubleshoot production issues and provide technical support throughout the software development lifecycle. Participate in Agile development activities including sprint planning, code reviews, and technical documentation. Collaborate with federal stakeholders, developers, data managers, and system administrators to deliver high-quality software solutions. Required Qualifications Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical discipline (or equivalent experience). Minimum 5 years of professional experience developing customized applications. Demonstrated experience with: XML transforms and XML Schema JavaScript frameworks (Angular preferred) JSON HTML5 OpenLayers 3 Groovy PostgreSQL PostGIS Linux command-line tools Drupal Python or other scripting languages RESTful API design and implementation Minimum 1 year of experience working with open-source software and tools. Experience designing and implementing microservices-based architectures. Familiarity with containerization technologies (Docker, Kubernetes, or similar). Experience developing metadata-driven microservices supporting scientific data ingest and egress. Experience with ETL processes, data migration tools, and application configuration updates. Experience with scientific metadata creation, curation, and repository management tools. Experience deploying and maintaining web applications in production environments. Experience working with geographic information systems (GIS) and geospatial data applications. Strong experience with relational databases including PostgreSQL and MySQL. Experience using Git/GitHub version control. Strong Linux administration and command-line proficiency. Expert knowledge of HTML, XHTML, CSS, and responsive web development. Knowledge of the U.S. Web Design System (USWDS) and USDA Digital Strategy Playbook. Minimum 2 years of practical experience performing Section 508 testing, remediation, and accessibility compliance. Practical experience ensuring applications meet WCAG 2.x AA accessibility requirements. Excellent communication, collaboration, analytical, and customer service skills. Ability to work independently and within cross-functional teams. About One Federal Solution: One Federal Solution (OFS) is an innovative Professional Services provider with over 20 years of experience supporting Defense and Civilian agencies. OFS specializes in Business Intelligence, Acquisition and Procurement, and other Professional Services. We are pioneers, builders, thought leaders, and pride ourselves in thinking outside the box to co-create with our customers, helping them achieve excellent enterprise-wide outcomes. As a certified Service-Disabled Veteran-Owned Small Business (SDVOSB), OFS is committed to providing people who deliver high performance and excellence to our government partners.
11/03/2026
Full time
Job Description Job Description We are seeking motivated Application Software Developers/Engineers at the Senior, Intermediate, and Junior levels to support the USDA National Agricultural Library (NAL) scientific research data applications. This position provides Operations and Maintenance (O&M) support and application development for scientific data platforms including GeoData (open-source software), Ag Data Commons (SaaS platform with local data harvests), and related scientific research data products. The ideal candidate will have experience developing modern web applications, designing microservices, supporting scientific data repositories, and working within Linux-based environments using open-source technologies. Task and Duties: Provide Operations and Maintenance (O&M) support for NAL scientific research data applications. Design, develop, and maintain microservices supporting scientific data ingest, processing, and data egress. Develop and maintain system architecture documentation, API specifications, technical diagrams, and data models. Support application enhancements, software updates, testing, troubleshooting, deployment, and production releases. Configure and maintain SaaS application environments, including application configuration updates and data migration activities. Develop repository reporting dashboards and analytics for scientific repository usage and statistics. Design and implement RESTful APIs supporting internal and external integrations. Develop and execute testing protocols, quality assurance (QA) processes, automated testing, and UI testing. Support ETL processes and data migration activities for application modernization efforts. Ensure applications comply with federal accessibility standards, including Section 508 and WCAG 2.x AA requirements. Troubleshoot production issues and provide technical support throughout the software development lifecycle. Participate in Agile development activities including sprint planning, code reviews, and technical documentation. Collaborate with federal stakeholders, developers, data managers, and system administrators to deliver high-quality software solutions. Required Qualifications Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical discipline (or equivalent experience). Minimum 5 years of professional experience developing customized applications. Demonstrated experience with: XML transforms and XML Schema JavaScript frameworks (Angular preferred) JSON HTML5 OpenLayers 3 Groovy PostgreSQL PostGIS Linux command-line tools Drupal Python or other scripting languages RESTful API design and implementation Minimum 1 year of experience working with open-source software and tools. Experience designing and implementing microservices-based architectures. Familiarity with containerization technologies (Docker, Kubernetes, or similar). Experience developing metadata-driven microservices supporting scientific data ingest and egress. Experience with ETL processes, data migration tools, and application configuration updates. Experience with scientific metadata creation, curation, and repository management tools. Experience deploying and maintaining web applications in production environments. Experience working with geographic information systems (GIS) and geospatial data applications. Strong experience with relational databases including PostgreSQL and MySQL. Experience using Git/GitHub version control. Strong Linux administration and command-line proficiency. Expert knowledge of HTML, XHTML, CSS, and responsive web development. Knowledge of the U.S. Web Design System (USWDS) and USDA Digital Strategy Playbook. Minimum 2 years of practical experience performing Section 508 testing, remediation, and accessibility compliance. Practical experience ensuring applications meet WCAG 2.x AA accessibility requirements. Excellent communication, collaboration, analytical, and customer service skills. Ability to work independently and within cross-functional teams. About One Federal Solution: One Federal Solution (OFS) is an innovative Professional Services provider with over 20 years of experience supporting Defense and Civilian agencies. OFS specializes in Business Intelligence, Acquisition and Procurement, and other Professional Services. We are pioneers, builders, thought leaders, and pride ourselves in thinking outside the box to co-create with our customers, helping them achieve excellent enterprise-wide outcomes. As a certified Service-Disabled Veteran-Owned Small Business (SDVOSB), OFS is committed to providing people who deliver high performance and excellence to our government partners.
Senior Manager, Modern Workplace Architecture
Jobot Louisville, Kentucky
Senior Manager, Modern Workplace Architecture / / Great leadership in place / Strong benefits and bonus This Jobot Job is hosted by: Joseph Sipocz Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $180,000 - $210,000 per year A bit about us: Our client is a large, established organization focused on technology innovation, operational excellence, and delivering a secure, seamless digital workplace experience. The organization is investing in modernizing its enterprise technology environment, improving endpoint management, strengthening cybersecurity, and integrating emerging technologies to enhance employee productivity. This is an opportunity to join a forward-thinking technology organization in a senior leadership role, driving enterprise-wide workplace architecture, engineering standards, and modernization initiatives across a complex environment. Why join us? Top tier benefits Good vacation / time off package 401K / match HSA match Hybrid - remote is possible, but will require travel 20-40% bonus - total compensation is around $250,000 (+/-) annually Tons of growth Other fun things: Enterprise-Wide Impact: Lead the strategy and architecture behind the technology employees rely on every day. Technology Modernization: Drive initiatives involving Windows endpoint engineering, cloud-based device management, virtualization, and digital employee experience. AI & Innovation: Help integrate AI capabilities into everyday workflows to improve productivity and the employee experience. Leadership Opportunity: Lead and develop a high-performing engineering organization while collaborating with cybersecurity, infrastructure, and business leaders. Strategic Ownership: Influence technology roadmaps, enterprise standards, vendor relationships, and large-scale modernization programs. Hybrid Flexibility: Work in a hybrid environment with three days per week onsite at a designated office. Job Details Responsibilities Lead the end-to-end strategy, architecture, and engineering of the enterprise modern workplace environment, ensuring security, scalability, reliability, and alignment with business priorities. Provide technical leadership and accountability for endpoint, mobility, workstation engineering, and virtualization platforms. Own Windows workstation architecture and lifecycle management, including enterprise imaging, configuration standards, build processes, and device deployment. Lead Microsoft Intune and Windows Autopilot strategy, including device configuration, compliance policies, and automated device provisioning. Oversee enterprise software packaging, distribution, and deployment to ensure secure and consistent application delivery. Establish hardware, operating system, endpoint configuration, and identity integration standards across the organization. -Develop and execute patch and release management strategies to maintain security, compliance, and system reliability while minimizing business disruption. Lead endpoint security engineering, including encryption, endpoint protection, and compliance controls. Oversee mobility engineering and virtual desktop platforms, including Azure Virtual Desktop (AVD) and VMware Horizon. Drive the selection and implementation of Digital Employee Experience (DEX) tools to monitor performance, identify issues proactively, and improve the employee experience. Evaluate emerging technologies through proof-of-concept initiatives and pilot programs. Identify opportunities to incorporate AI capabilities into the workplace environment and improve employee productivity. Establish architecture standards, engineering practices, governance processes, documentation, and performance metrics. Provide technical oversight for major initiatives involving Windows 11, endpoint modernization, virtual desktop transformation, and device lifecycle programs. Manage technology vendors, managed service providers, contracts, licensing, budgets, and cost optimization. Serve as the escalation point for complex endpoint, virtualization, and workplace technology issues. Lead, mentor, and develop a high-performing engineering team, fostering accountability, technical excellence, and continuous improvement. Collaborate with IT and business stakeholders to drive adoption, improve service reliability, and deliver a customer-centric workplace experience. Qualifications Bachelor's degree in Information Technology, Computer Science, Engineering, or a related field. 10+ years of experience in end-user technology engineering, architecture, or related IT infrastructure leadership. At least 3-5 years of management experience. Proven experience defining and implementing enterprise technology standards, architectures, and roadmaps. Strong technical background in hardware standards, operating systems, software distribution, and endpoint management. Experience with Office 365, plug-in management, and virtual client-side environments. Demonstrated ability to manage vendors, budgets, technology deployments, and cross-functional initiatives. Strong leadership, communication, analytical, and problem-solving skills. Preferred Qualifications Experience in the utilities industry or another highly regulated environment. Relevant certifications, such as Microsoft Certified: Endpoint Administrator Expert, ITIL, or equivalent. Experience with Digital Employee Experience tools, virtualization, and modern device management platforms such as Microsoft Intune or SCCM. Ideal Candidate The ideal candidate is a hands-on technology leader who combines enterprise architecture expertise with strong people management and strategic execution skills. They can set the long-term vision for a modern workplace while overseeing the engineering standards, security controls, integrations, and modernization initiatives required to deliver a reliable, secure, and productive employee technology experience. 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
Senior Manager, Modern Workplace Architecture / / Great leadership in place / Strong benefits and bonus This Jobot Job is hosted by: Joseph Sipocz Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $180,000 - $210,000 per year A bit about us: Our client is a large, established organization focused on technology innovation, operational excellence, and delivering a secure, seamless digital workplace experience. The organization is investing in modernizing its enterprise technology environment, improving endpoint management, strengthening cybersecurity, and integrating emerging technologies to enhance employee productivity. This is an opportunity to join a forward-thinking technology organization in a senior leadership role, driving enterprise-wide workplace architecture, engineering standards, and modernization initiatives across a complex environment. Why join us? Top tier benefits Good vacation / time off package 401K / match HSA match Hybrid - remote is possible, but will require travel 20-40% bonus - total compensation is around $250,000 (+/-) annually Tons of growth Other fun things: Enterprise-Wide Impact: Lead the strategy and architecture behind the technology employees rely on every day. Technology Modernization: Drive initiatives involving Windows endpoint engineering, cloud-based device management, virtualization, and digital employee experience. AI & Innovation: Help integrate AI capabilities into everyday workflows to improve productivity and the employee experience. Leadership Opportunity: Lead and develop a high-performing engineering organization while collaborating with cybersecurity, infrastructure, and business leaders. Strategic Ownership: Influence technology roadmaps, enterprise standards, vendor relationships, and large-scale modernization programs. Hybrid Flexibility: Work in a hybrid environment with three days per week onsite at a designated office. Job Details Responsibilities Lead the end-to-end strategy, architecture, and engineering of the enterprise modern workplace environment, ensuring security, scalability, reliability, and alignment with business priorities. Provide technical leadership and accountability for endpoint, mobility, workstation engineering, and virtualization platforms. Own Windows workstation architecture and lifecycle management, including enterprise imaging, configuration standards, build processes, and device deployment. Lead Microsoft Intune and Windows Autopilot strategy, including device configuration, compliance policies, and automated device provisioning. Oversee enterprise software packaging, distribution, and deployment to ensure secure and consistent application delivery. Establish hardware, operating system, endpoint configuration, and identity integration standards across the organization. -Develop and execute patch and release management strategies to maintain security, compliance, and system reliability while minimizing business disruption. Lead endpoint security engineering, including encryption, endpoint protection, and compliance controls. Oversee mobility engineering and virtual desktop platforms, including Azure Virtual Desktop (AVD) and VMware Horizon. Drive the selection and implementation of Digital Employee Experience (DEX) tools to monitor performance, identify issues proactively, and improve the employee experience. Evaluate emerging technologies through proof-of-concept initiatives and pilot programs. Identify opportunities to incorporate AI capabilities into the workplace environment and improve employee productivity. Establish architecture standards, engineering practices, governance processes, documentation, and performance metrics. Provide technical oversight for major initiatives involving Windows 11, endpoint modernization, virtual desktop transformation, and device lifecycle programs. Manage technology vendors, managed service providers, contracts, licensing, budgets, and cost optimization. Serve as the escalation point for complex endpoint, virtualization, and workplace technology issues. Lead, mentor, and develop a high-performing engineering team, fostering accountability, technical excellence, and continuous improvement. Collaborate with IT and business stakeholders to drive adoption, improve service reliability, and deliver a customer-centric workplace experience. Qualifications Bachelor's degree in Information Technology, Computer Science, Engineering, or a related field. 10+ years of experience in end-user technology engineering, architecture, or related IT infrastructure leadership. At least 3-5 years of management experience. Proven experience defining and implementing enterprise technology standards, architectures, and roadmaps. Strong technical background in hardware standards, operating systems, software distribution, and endpoint management. Experience with Office 365, plug-in management, and virtual client-side environments. Demonstrated ability to manage vendors, budgets, technology deployments, and cross-functional initiatives. Strong leadership, communication, analytical, and problem-solving skills. Preferred Qualifications Experience in the utilities industry or another highly regulated environment. Relevant certifications, such as Microsoft Certified: Endpoint Administrator Expert, ITIL, or equivalent. Experience with Digital Employee Experience tools, virtualization, and modern device management platforms such as Microsoft Intune or SCCM. Ideal Candidate The ideal candidate is a hands-on technology leader who combines enterprise architecture expertise with strong people management and strategic execution skills. They can set the long-term vision for a modern workplace while overseeing the engineering standards, security controls, integrations, and modernization initiatives required to deliver a reliable, secure, and productive employee technology experience. 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:
Senior Manager, Collaboration
Jobot Allentown, Pennsylvania
Senior Manager, Collaboration / / IT and AI enablement / Fortune 500 company / Great team This Jobot Job is hosted by: Joseph Sipocz Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $180,000 - $210,000 per year A bit about us: Our client is a large, established organization focused on technology modernization, operational excellence, and improving the employee experience through innovative digital solutions. The organization is investing in enterprise collaboration platforms and AI-enabled productivity tools to create more secure, efficient, and seamless ways of working. This role offers the opportunity to influence enterprise-wide technology strategy, lead collaboration engineering initiatives, and partner with business and IT leaders to modernize the digital workplace. Why join us? Top tier benefits Good vacation / time off package 401K / match HSA match Hybrid - remote is possible, but will require travel 20-40% bonus - total compensation is around $250,000 (+/-) annually Tons of growth Other fun things: Strategic Leadership: Shape the enterprise vision and architecture for collaboration and productivity platforms. AI & Innovation: Drive practical AI adoption and automation to improve productivity and the employee experience. Enterprise Impact: Lead initiatives that affect how colleagues communicate, collaborate, manage information, and work across the organization. Leadership Opportunity: Build and develop a high-performing engineering team while partnering with senior business and technology stakeholders. Modern Work Environment: Work in a hybrid setting with three days per week onsite at a designated office. Job Details Responsibilities Lead and develop a high-performing collaboration engineering team, establishing strong engineering practices, automation, accountability, and continuous improvement. Define and evolve enterprise collaboration architecture across Microsoft 365, Teams, SharePoint, OneDrive, Exchange Online, and Zoom. Establish platform roadmaps, reference architectures, design standards, and governance frameworks that support scalability, security, compliance, and business priorities. Partner with Cybersecurity teams to strengthen identity management, access governance, and Zero Trust security practices. - Oversee platform configuration, integration, content governance, information architecture, and SharePoint migration strategies. Monitor platform reliability, performance, adoption, and user experience using analytics and measurable service objectives. Serve as the escalation point for complex technical issues involving collaboration platforms and enterprise integrations. Identify and implement AI-enabled workflows that improve information discovery, document creation, meeting follow-ups, knowledge sharing, and routine business processes. Partner with business functions to drive adoption of collaboration and AI tools through training, communications, coaching, and change management. Measure productivity improvements, user adoption, time savings, and satisfaction to identify opportunities for continued optimization. Manage vendor relationships, licensing strategy, contract negotiations, renewals, and technology roadmaps. Evaluate emerging technologies and champion modern workplace practices across the organization. Qualifications Bachelor's degree in Information Technology, Computer Science, or a related field. 10+ years of IT experience, with a focus on enterprise collaboration platforms. Demonstrated experience managing and architecting enterprise solutions involving Microsoft 365, Teams, Zoom, and SharePoint. Strong understanding of collaboration platform security, governance, compliance, and information management. Experience leading cross-functional technology initiatives and driving adoption of new tools and processes. Proven leadership, vendor management, communication, and stakeholder engagement skills. Ability to translate technical strategy and performance metrics into business outcomes. Preferred Qualifications Experience in the utilities industry or another highly regulated environment. Microsoft 365 Certified: Enterprise Administrator Expert or equivalent certification. Experience with cloud collaboration integrations and digital workplace transformation initiatives. Ideal Candidate The ideal candidate is a strategic technology leader who combines deep collaboration-platform expertise with strong people leadership and business partnership skills. They can establish enterprise architecture and governance standards while remaining focused on practical solutions that improve productivity, security, adoption, and the overall employee experience. 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
Senior Manager, Collaboration / / IT and AI enablement / Fortune 500 company / Great team This Jobot Job is hosted by: Joseph Sipocz Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $180,000 - $210,000 per year A bit about us: Our client is a large, established organization focused on technology modernization, operational excellence, and improving the employee experience through innovative digital solutions. The organization is investing in enterprise collaboration platforms and AI-enabled productivity tools to create more secure, efficient, and seamless ways of working. This role offers the opportunity to influence enterprise-wide technology strategy, lead collaboration engineering initiatives, and partner with business and IT leaders to modernize the digital workplace. Why join us? Top tier benefits Good vacation / time off package 401K / match HSA match Hybrid - remote is possible, but will require travel 20-40% bonus - total compensation is around $250,000 (+/-) annually Tons of growth Other fun things: Strategic Leadership: Shape the enterprise vision and architecture for collaboration and productivity platforms. AI & Innovation: Drive practical AI adoption and automation to improve productivity and the employee experience. Enterprise Impact: Lead initiatives that affect how colleagues communicate, collaborate, manage information, and work across the organization. Leadership Opportunity: Build and develop a high-performing engineering team while partnering with senior business and technology stakeholders. Modern Work Environment: Work in a hybrid setting with three days per week onsite at a designated office. Job Details Responsibilities Lead and develop a high-performing collaboration engineering team, establishing strong engineering practices, automation, accountability, and continuous improvement. Define and evolve enterprise collaboration architecture across Microsoft 365, Teams, SharePoint, OneDrive, Exchange Online, and Zoom. Establish platform roadmaps, reference architectures, design standards, and governance frameworks that support scalability, security, compliance, and business priorities. Partner with Cybersecurity teams to strengthen identity management, access governance, and Zero Trust security practices. - Oversee platform configuration, integration, content governance, information architecture, and SharePoint migration strategies. Monitor platform reliability, performance, adoption, and user experience using analytics and measurable service objectives. Serve as the escalation point for complex technical issues involving collaboration platforms and enterprise integrations. Identify and implement AI-enabled workflows that improve information discovery, document creation, meeting follow-ups, knowledge sharing, and routine business processes. Partner with business functions to drive adoption of collaboration and AI tools through training, communications, coaching, and change management. Measure productivity improvements, user adoption, time savings, and satisfaction to identify opportunities for continued optimization. Manage vendor relationships, licensing strategy, contract negotiations, renewals, and technology roadmaps. Evaluate emerging technologies and champion modern workplace practices across the organization. Qualifications Bachelor's degree in Information Technology, Computer Science, or a related field. 10+ years of IT experience, with a focus on enterprise collaboration platforms. Demonstrated experience managing and architecting enterprise solutions involving Microsoft 365, Teams, Zoom, and SharePoint. Strong understanding of collaboration platform security, governance, compliance, and information management. Experience leading cross-functional technology initiatives and driving adoption of new tools and processes. Proven leadership, vendor management, communication, and stakeholder engagement skills. Ability to translate technical strategy and performance metrics into business outcomes. Preferred Qualifications Experience in the utilities industry or another highly regulated environment. Microsoft 365 Certified: Enterprise Administrator Expert or equivalent certification. Experience with cloud collaboration integrations and digital workplace transformation initiatives. Ideal Candidate The ideal candidate is a strategic technology leader who combines deep collaboration-platform expertise with strong people leadership and business partnership skills. They can establish enterprise architecture and governance standards while remaining focused on practical solutions that improve productivity, security, adoption, and the overall employee experience. 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:
Senior MLOps Engineer
Genesis10 Plano, Texas
Genesis10 is currently seeking a Senior MLOps Engineer for a contract position with a Financial Services Corporation located in Plano, TX. This is a contract opportunity. As a Senior MLOps Engineer, you will build, deploy, and operate machine learning and generative AI solutions in enterprise environments. Working closely with AI leads, ML engineers, and platform teams, you will turn experimental workflows into production-ready services and establish the operational practices needed to support them. You will report to the AI Team Leader, Technology Innovation. Responsibilities: Design, build, and operate end-to-end data and ML pipelines on Azure and Databricks, including ingestion, validation, feature engineering, model training, fine-tuning, evaluation, and deployment Build and maintain CI/CD workflows for application code, model artifacts, prompt templates, retrieval and context configurations, evaluation datasets, and infrastructure Operationalize retrieval-augmented generation (RAG) and context engineering workflows, including document ingestion, chunking, embedding generation, indexing, retrieval, context selection and assembly, and evaluation of retrieval and response quality Collaborate with ML engineers, data engineers, and the AI Lead to translate experimental training, fine-tuning, evaluation, and inference workflows into reproducible, production-ready systems Develop and maintain production-grade APIs and microservices using Python and FastAPI to expose model inference and integrate AI capabilities into enterprise applications Deploy, operate, and scale model-serving endpoints and containerized inference services using Azure-managed services, Docker, and Kubernetes to workload requirements Provision and manage cloud and platform resources through infrastructure as code, ensuring consistent, repeatable, and auditable environment configurations Implement automated testing and release quality gates for application code, data quality, model performance, retrieval quality, AI safety, and deployment readiness Establish model and artifact versioning, experiment tracking, and deployment traceability to support reproducibility and troubleshooting Monitor and improve model quality, data and retrieval pipeline reliability, inference latency, throughput, service availability, and infrastructure cost efficiency Partner with infrastructure, security, and governance teams to implement appropriate access controls, auditability, and operational safeguards Requirements: 10 years of experience building data-driven software solutions, including 5 years of hands-on machine learning engineering experience 8 years of Python development experience, including building and maintaining production services, APIs, or data pipelines Demonstrated experience deploying and operating machine learning or generative AI solutions in production Experience with Databricks, including Delta Lake, Auto Loader, Workflows, Feature Engineering, and deployment automation using Databricks Asset Bundles Hands-on experience building CI/CD pipelines and implementing automated testing and deployment workflows for data and ML systems Hands-on experience with cloud-native AI infrastructure and related technologies, including Azure Foundry, Azure Kubernetes Service, Docker, and GPU-backed workloads Hands-on experience integrating and operating graph databases to support knowledge graphs, relationship-based retrieval, or generative AI applications Bachelor's degree in computer science, Artificial Intelligence, or a related field, or equivalent professional experience Desired skills: Experience deploying models for low-latency, high-throughput inference using frameworks such as vLLM and other GPU-based model-serving tools Experience with distributed training, GPU optimization, and GPU computing technologies such as CUDA and RAPIDS Only candidates available and ready to work directly as Genesis10 employees will be considered for this position. If you have the described qualifications and are interested in this exciting opportunity, please apply! Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals. For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10: Access to hundreds of clients, most who have been working with Genesis10 for 5-20 years. The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years. Access to an experienced, caring recruiting team (more than 7 years of experience, on average.) Behavioral Health Platform Medical, Dental, Vision Health Savings Account Voluntary Hospital Indemnity (Critical Illness & Accident) Voluntary Term Life Insurance 401K Sick Pay (for applicable states/municipalities) Commuter Benefits (Dallas, NYC, SF, and Illinois) For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all our available career opportunities, please visit us at our website. Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
11/03/2026
Full time
Genesis10 is currently seeking a Senior MLOps Engineer for a contract position with a Financial Services Corporation located in Plano, TX. This is a contract opportunity. As a Senior MLOps Engineer, you will build, deploy, and operate machine learning and generative AI solutions in enterprise environments. Working closely with AI leads, ML engineers, and platform teams, you will turn experimental workflows into production-ready services and establish the operational practices needed to support them. You will report to the AI Team Leader, Technology Innovation. Responsibilities: Design, build, and operate end-to-end data and ML pipelines on Azure and Databricks, including ingestion, validation, feature engineering, model training, fine-tuning, evaluation, and deployment Build and maintain CI/CD workflows for application code, model artifacts, prompt templates, retrieval and context configurations, evaluation datasets, and infrastructure Operationalize retrieval-augmented generation (RAG) and context engineering workflows, including document ingestion, chunking, embedding generation, indexing, retrieval, context selection and assembly, and evaluation of retrieval and response quality Collaborate with ML engineers, data engineers, and the AI Lead to translate experimental training, fine-tuning, evaluation, and inference workflows into reproducible, production-ready systems Develop and maintain production-grade APIs and microservices using Python and FastAPI to expose model inference and integrate AI capabilities into enterprise applications Deploy, operate, and scale model-serving endpoints and containerized inference services using Azure-managed services, Docker, and Kubernetes to workload requirements Provision and manage cloud and platform resources through infrastructure as code, ensuring consistent, repeatable, and auditable environment configurations Implement automated testing and release quality gates for application code, data quality, model performance, retrieval quality, AI safety, and deployment readiness Establish model and artifact versioning, experiment tracking, and deployment traceability to support reproducibility and troubleshooting Monitor and improve model quality, data and retrieval pipeline reliability, inference latency, throughput, service availability, and infrastructure cost efficiency Partner with infrastructure, security, and governance teams to implement appropriate access controls, auditability, and operational safeguards Requirements: 10 years of experience building data-driven software solutions, including 5 years of hands-on machine learning engineering experience 8 years of Python development experience, including building and maintaining production services, APIs, or data pipelines Demonstrated experience deploying and operating machine learning or generative AI solutions in production Experience with Databricks, including Delta Lake, Auto Loader, Workflows, Feature Engineering, and deployment automation using Databricks Asset Bundles Hands-on experience building CI/CD pipelines and implementing automated testing and deployment workflows for data and ML systems Hands-on experience with cloud-native AI infrastructure and related technologies, including Azure Foundry, Azure Kubernetes Service, Docker, and GPU-backed workloads Hands-on experience integrating and operating graph databases to support knowledge graphs, relationship-based retrieval, or generative AI applications Bachelor's degree in computer science, Artificial Intelligence, or a related field, or equivalent professional experience Desired skills: Experience deploying models for low-latency, high-throughput inference using frameworks such as vLLM and other GPU-based model-serving tools Experience with distributed training, GPU optimization, and GPU computing technologies such as CUDA and RAPIDS Only candidates available and ready to work directly as Genesis10 employees will be considered for this position. If you have the described qualifications and are interested in this exciting opportunity, please apply! Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals. For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10: Access to hundreds of clients, most who have been working with Genesis10 for 5-20 years. The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years. Access to an experienced, caring recruiting team (more than 7 years of experience, on average.) Behavioral Health Platform Medical, Dental, Vision Health Savings Account Voluntary Hospital Indemnity (Critical Illness & Accident) Voluntary Term Life Insurance 401K Sick Pay (for applicable states/municipalities) Commuter Benefits (Dallas, NYC, SF, and Illinois) For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all our available career opportunities, please visit us at our website. Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Network Architect SME
JCS Solutions LLC Fort Belvoir, Virginia
Job Description Job Description Grow, innovate, and generate progress: Harness your expertise to solve challenges and celebrate success! Job Summary JCS Solutions is seeking a highly skilled and experienced Senior Network Architect to lead the design, implementation, and optimization of our enterprise application delivery and DDI (DNS, DHCP, and IPAM) infrastructure. The ideal candidate will have deep, hands-on expertise with F5 technologies and Infoblox, ensuring highly available, secure, and scalable application delivery models across the enterprise network in support of critical mission requirements that enhance the reliability and security of Department of War (DoW) networks and systems. Acting as the technical lead for this initiative, you will architect and deploy network solutions utilizing F5 and Infoblox technologies in concert to provide intelligent and scalable global server load balancing (GSLB), secure DNS solutions, and enterprise IP address management across our customer's rapidly evolving hybrid multi-cloud environment. What's in it for you: Join a premier technology firm specializing in innovative solutions. Be part of a collaborative, inclusive, and innovative work culture. Enjoy tremendous growth potential in a high-performing team environment. A robust benefits package: Health, dental, and vision insurance Life insurance Short-and-long term disability Paid time off (PTO) 401k retirement plan with employer match Annual Professional Development Reimbursement Program And more! What you will do: Application Delivery Architecture - Design, deploy, and manage advanced application delivery models ensuring high availability, optimal performance, and security for mission-critical enterprise applications. F5 Infrastructure Management - Architect and maintain F5 BIG-IP solutions, with a heavy focus on Local Traffic Manager (LTM) and Global Traffic Manager (GTM) for intelligent local and global load balancing. Enterprise DDI Administration - Lead the engineering, deployment, and administration of enterprise-class DDI infrastructure utilizing Infoblox technology (DNS, DHCP, and IP Address Management). Cross-Functional Collaboration - Work closely with application developers, cybersecurity teams, and systems engineers to translate application requirements into resilient, highly available network architectures Troubleshooting & Optimization - Perform advanced network troubleshooting, traffic analysis, packet capture, and performance tuning for complex application delivery workflows. Documentation & Standards - Develop and maintain comprehensive architectural documentation, standard operating procedures, and technical blueprints. Compliance & Documentation: Ensure all tools comply with DoW STIGs and IL5/IL6/IL7 protocols; develop and maintain architectural documentation and compliance traceability. What you will bring: Bachelor's degree in Computer Science, Information Technology, or a related technical discipline & 12+ years' experience. Active IAT Level II certification (e.g., Security+ CE, CySA+, GSEC, or SSCP) required. Cisco CCNA Certification (CCNP or CCIE Preferred). Minimum of 8-10 years of progressive experience in network engineering and architecture, with a dedicated focus on application delivery networks (ADN). Deep, demonstrable expertise in F5 BIG-IP platforms, specifically configuring, upgrading, and migrating LTM and GTM/F5 DNS environments. Infoblox / DDI Mastery: Extensive experience designing and operating enterprise-class Infoblox DDI environments, including Grid architecture and seamless IPAM integration. Core Networking: Mastery of OSI model layers 2-7, TCP/IP, routing protocols (e.g., BGP, OSPF), and solid experience with SSL/TLS offloading and certificate management. Experience leading technical working groups and directing the efforts of adjacent infrastructure and development teams. Prior experience working within a DoW/DoD Operations Center (NOC/SOC) or supporting mission-critical systems and networks. Must be able to present designs, plans, and analyses of alternatives to technical leadership boards for approvals. United States Citizenship is required. Security Clearance: Active Top Secret / Sensitive Compartmented Information (TS/SCI) required at time of hire. How you will wow us: Automation Skills Experience with network automation and orchestration tools (e.g., Ansible, Python, Terraform, or F5 AS3) is highly desired. Certifications: F5 Certified Technology Specialist (F5-CTS) or Solution Expert (F5-CSE), and Infoblox Core DDI certifications are strongly preferred. JCS Solutions (JCS) is a premier technology firm providing innovative solutions and high-quality services in defense, national security, and civilian sectors. JCS offers enterprise-wide solutions including cloud computing, software development, cybersecurity, digital modernization, and management consulting for the federal government. At JCS, we elevate our customers' mission through the application of technology and professional services. Our commitment to investing in our workforce drives innovation and progress for our clients, employees, and communities. JCS is both a Great Place to Work and a Top Places to Work certified company. Our employees embody our core values, and we are looking for others who do too! Customer Experience: Strive for excellence and delight our clients Innovation: Embrace creative thinking to enable continual growth and powerful solutions Accountability: Take ownership of and pride in our actions and service delivery Inspire: Be inspired to be your best self and have fun in the process Integrity: Do the right thing, the right way, every time! Stewardship: The careful and responsible management of something entrusted to our care. At JCS Solutions, compensation is based on a number of factors such as location, qualifications, and applicable contract terms. The general salary range for this position is as follows: $135,000.00 - $173,000.00 Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to any protected status protected by applicable federal, state, or local laws. NOTICE : Please be aware that all JCS Solutions communications related to job interviews and offers from our recruiting team will only come We want to emphasize that we do not conduct any interviews over Discord, Slack, Skype, Zoom, or any chat app. Powered by JazzHR PGIkdaeuSJ
11/03/2026
Full time
Job Description Job Description Grow, innovate, and generate progress: Harness your expertise to solve challenges and celebrate success! Job Summary JCS Solutions is seeking a highly skilled and experienced Senior Network Architect to lead the design, implementation, and optimization of our enterprise application delivery and DDI (DNS, DHCP, and IPAM) infrastructure. The ideal candidate will have deep, hands-on expertise with F5 technologies and Infoblox, ensuring highly available, secure, and scalable application delivery models across the enterprise network in support of critical mission requirements that enhance the reliability and security of Department of War (DoW) networks and systems. Acting as the technical lead for this initiative, you will architect and deploy network solutions utilizing F5 and Infoblox technologies in concert to provide intelligent and scalable global server load balancing (GSLB), secure DNS solutions, and enterprise IP address management across our customer's rapidly evolving hybrid multi-cloud environment. What's in it for you: Join a premier technology firm specializing in innovative solutions. Be part of a collaborative, inclusive, and innovative work culture. Enjoy tremendous growth potential in a high-performing team environment. A robust benefits package: Health, dental, and vision insurance Life insurance Short-and-long term disability Paid time off (PTO) 401k retirement plan with employer match Annual Professional Development Reimbursement Program And more! What you will do: Application Delivery Architecture - Design, deploy, and manage advanced application delivery models ensuring high availability, optimal performance, and security for mission-critical enterprise applications. F5 Infrastructure Management - Architect and maintain F5 BIG-IP solutions, with a heavy focus on Local Traffic Manager (LTM) and Global Traffic Manager (GTM) for intelligent local and global load balancing. Enterprise DDI Administration - Lead the engineering, deployment, and administration of enterprise-class DDI infrastructure utilizing Infoblox technology (DNS, DHCP, and IP Address Management). Cross-Functional Collaboration - Work closely with application developers, cybersecurity teams, and systems engineers to translate application requirements into resilient, highly available network architectures Troubleshooting & Optimization - Perform advanced network troubleshooting, traffic analysis, packet capture, and performance tuning for complex application delivery workflows. Documentation & Standards - Develop and maintain comprehensive architectural documentation, standard operating procedures, and technical blueprints. Compliance & Documentation: Ensure all tools comply with DoW STIGs and IL5/IL6/IL7 protocols; develop and maintain architectural documentation and compliance traceability. What you will bring: Bachelor's degree in Computer Science, Information Technology, or a related technical discipline & 12+ years' experience. Active IAT Level II certification (e.g., Security+ CE, CySA+, GSEC, or SSCP) required. Cisco CCNA Certification (CCNP or CCIE Preferred). Minimum of 8-10 years of progressive experience in network engineering and architecture, with a dedicated focus on application delivery networks (ADN). Deep, demonstrable expertise in F5 BIG-IP platforms, specifically configuring, upgrading, and migrating LTM and GTM/F5 DNS environments. Infoblox / DDI Mastery: Extensive experience designing and operating enterprise-class Infoblox DDI environments, including Grid architecture and seamless IPAM integration. Core Networking: Mastery of OSI model layers 2-7, TCP/IP, routing protocols (e.g., BGP, OSPF), and solid experience with SSL/TLS offloading and certificate management. Experience leading technical working groups and directing the efforts of adjacent infrastructure and development teams. Prior experience working within a DoW/DoD Operations Center (NOC/SOC) or supporting mission-critical systems and networks. Must be able to present designs, plans, and analyses of alternatives to technical leadership boards for approvals. United States Citizenship is required. Security Clearance: Active Top Secret / Sensitive Compartmented Information (TS/SCI) required at time of hire. How you will wow us: Automation Skills Experience with network automation and orchestration tools (e.g., Ansible, Python, Terraform, or F5 AS3) is highly desired. Certifications: F5 Certified Technology Specialist (F5-CTS) or Solution Expert (F5-CSE), and Infoblox Core DDI certifications are strongly preferred. JCS Solutions (JCS) is a premier technology firm providing innovative solutions and high-quality services in defense, national security, and civilian sectors. JCS offers enterprise-wide solutions including cloud computing, software development, cybersecurity, digital modernization, and management consulting for the federal government. At JCS, we elevate our customers' mission through the application of technology and professional services. Our commitment to investing in our workforce drives innovation and progress for our clients, employees, and communities. JCS is both a Great Place to Work and a Top Places to Work certified company. Our employees embody our core values, and we are looking for others who do too! Customer Experience: Strive for excellence and delight our clients Innovation: Embrace creative thinking to enable continual growth and powerful solutions Accountability: Take ownership of and pride in our actions and service delivery Inspire: Be inspired to be your best self and have fun in the process Integrity: Do the right thing, the right way, every time! Stewardship: The careful and responsible management of something entrusted to our care. At JCS Solutions, compensation is based on a number of factors such as location, qualifications, and applicable contract terms. The general salary range for this position is as follows: $135,000.00 - $173,000.00 Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to any protected status protected by applicable federal, state, or local laws. NOTICE : Please be aware that all JCS Solutions communications related to job interviews and offers from our recruiting team will only come We want to emphasize that we do not conduct any interviews over Discord, Slack, Skype, Zoom, or any chat app. Powered by JazzHR PGIkdaeuSJ

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