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Application deadline: Nov 1, 2026 AWS Commerce Platform team is hiring a cleared Software Development Engineer to join the team. This is an exciting opportunity to use the latest cloud computing technologies to help U.S. Government agencies implement innovative cloud computing solutions and solve technical problems. In this role, you will join a team of highly talented engineers that build software solutions for Amazon's billing, metering, and optimization systems in air-gapped cloud environments as well as services and tooling to improve how we operate these services. This role enables you to deliver impact at scale, and the work you do unlocks the latest in billing and cost management capabilities for all of our US ADC customers. A successful Software Development Engineer is focused on building services that operate at the intersection of business problems and technology strategy. They balance constraints and consider the long-term implications of their design decisions. We are looking for a Software Development Engineer who is passionate about leading the architecture and development of application software that helps keep Amazon billing systems running efficiently and securely. On any given day, we use Java, Rust, Python, Lambda, DynamoDB, and CloudFormation, as well as other public AWS services and a host of Amazon-internal tools. This position requires that the candidate selected must currently possess and maintain an active TS/SCI security clearance. The position further requires that, after start, the selected candidate obtain and maintain an active TS/SCI security clearance with polygraph or commensurate clearance for each government agency for which they perform AWS work. Key job responsibilities In this role, you'll design, develop, and maintain the software systems that power Amazon's billing, metering, and optimization systems in air-gapped cloud environments. You'll build scalable solutions and collaborate with senior engineers on system architecture while mentoring junior team members. You'll own features end-to-end: gathering requirements, designing APIs and data models, implementing robust solutions, and driving operational excellence through monitoring, alarming, and on-call support. You'll work to improve data quality, reduce manual interventions in automated pipelines, and eliminate operational toil. You'll partner with cross-functional teams to integrate infrastructure data across planning, design, and deployment workflows. Above all, you'll care deeply about data integrity and system reliability, building solutions that scale with AWS's rapid growth while maintaining the accuracy our customers depend on. BASIC QUALIFICATIONS - Bachelor's degree, or CSSLP (Certified Secure Software Lifecycle Professional) - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language - Current, active US Government Security Clearance of Top Secret with SCI eligibility or above PREFERRED QUALIFICATIONS - Bachelor's degree in computer science or equivalent - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CO, Denver - 143 400.00 USD annually

Onsite in Milpitas, CA Profitable, Series C FinTech Startup - AWS, Terraform, Docker, Kubernetes, Active Directory This Jobot Job is hosted by: Caitlyn Hardy Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $155,000 - $165,000 per year A bit about us: We're a mission-driven fintech company building technology that helps millions of workers access the money they've already earned - when they need it most. Our platform integrates with employers and payroll systems to provide real-time wage access and financial wellness tools that reduce reliance on payday loans, overdraft fees, and other costly alternatives. Founded in Silicon Valley, our team is focused on using modern payment infrastructure and scalable cloud platforms to solve real financial challenges for everyday workers. We are seeking a Senior AWS DevOps & Cloud Security Engineer to own and drive the security, production infrastructure, and DevOps automation across our AWS environment. This is a critical role where you will be directly responsible for: Designing and securing cloud infrastructure. Managing production-grade systems at scale. Leading DevOps practices across CI/CD, monitoring, and infrastructure automation. This position is onsite in Milpitas, CA. Why join us? Company sponsored Health, Dental, and Vision insurance Health, Dental and Vision Reimbursement account 401K, traditional, and Roth with a company match Tuition Assistance or Tuition Reimbursement Unlimited Paid Time off Monthly Gym Reimbursement Paid time off to volunteer Paid Family Leave Complimentary office lunches Opportunity to work with a great team committed to making a difference. + More! Job Details Responsibilities: Own and maintain the security posture across AWS accounts, environments, and production workloads. Design and operate scalable, highly available, and secure AWS infrastructure. Manage Active Directory integration with AWS IAM, supporting access for EC2, EKS, and applications. Lead DevOps initiatives including CI/CD pipelines, Infrastructure as Code (IaC), version control, and automated deployments. Administer and secure Windows Server and IIS workloads hosted in AWS. Deploy and manage containerized applications using Docker and EKS. Establish and enforce cloud governance and compliance standards (CIS, NIST, HIPAA). Implement monitoring and observability solutions including logging, metrics, alerting, and dashboards. Build automation tools and scripts to streamline operations and improve reliability. Participate in on-call rotations, incident response, and root cause analysis. Optimize cloud environments for performance, availability, and cost efficiency. Required Skills & Qualifications 7+ years of experience in DevOps, Infrastructure, or Cloud Engineering roles. Strong AWS expertise across EC2, VPC, IAM, RDS, S3, Systems Manager, KMS, GuardDuty, CloudWatch, Config, CloudTrail, etc. Proven experience in cloud security, including IAM governance, least privilege policies, and secrets management. In-depth experience with Active Directory, including IAM-AD integration and federated authentication. Production experience with Docker (4+ years) and Amazon EKS/Kubernetes. Strong scripting skills: PowerShell (primary), Bash, or Python. CI/CD pipeline experience using Azure DevOps (VSTS/TFS), GitHub Actions, or Jenkins. Experience with Infrastructure as Code (IaC) tools like Terraform, CloudFormation, or Pulumi. Hands-on experience with Windows Server IIS, .NET/C# applications, and SQL Server. Proficiency in monitoring and APM tools such as Datadog, Dynatrace, AppDynamics, Site24x7. Solid understanding of networking: DNS, Load Balancing, SSL/TLS, VPC, routing, firewalls. Preferred Qualifications AWS Certifications: DevOps Engineer - Professional, Security - Specialty, or Solutions Architect - Professional. Experience with secrets management tools: AWS Secrets Manager, SSM Parameter Store, or HashiCorp Vault. Familiarity with Zero Trust, SSO, SAML, and OIDC-based authentication models. Knowledge of cost optimization strategies using AWS Cost Explorer, Trusted Advisor, and Savings Plans. Experience working in regulated industries (e.g., healthcare, finance, or government). 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:

High-Performance Computing Systems Site Lead with recognizable global technology solutions provider! This Jobot Job is hosted by: Kurt Holzmuller Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $130,000 - $140,000 per year A bit about us: We are a leading global tech company on the cutting edge of cloud and data solutions. With a strong emphasis on innovation, inclusivity, and work-life balance, we foster a dynamic environment for career growth. With a global customer base including all sectors, from Fortune 500 to up-and-coming startups, we offer diverse product lines including, but not limited to: Cloud Services, Artificial Intelligence, Storage, Networking, Supercomputing, and Digital Transformation offerings. This role requires a TS or DOE-Q clearance Why join us? Competitive Base Pay (130-150k) + Bonus Comprehensive Benefits Package that is top-of-market 401k with a match Unlimited PTO (and mandatory usage requirement) Relocation Package if necessary Top-notch work/life balance, career growth, and exceptionally high employee satisfaction More! This role requires a TS OR DOE Q clearance 100% Onsite role Job Details This role is a senior, hands-on technical leadership position supporting large-scale HPC and AI infrastructure at a national laboratory, with responsibility for coordinating onsite hardware, Linux, software, and remote engineering resources. The ideal candidate combines strong Linux/HPC and enterprise hardware troubleshooting skills with the ability to lead through influence, manage incidents and maintenance activities, and serve as the primary technical point of contact for the customer. MUST HAVE: BS in a related field Top Secret or DOE-Q Clearance, or ability to obtain it 4+ years of Linux systems administration experience - RHEL, SLES or comparable Enterprise hardware & data center experience: servers, compute nodes, networking/interconnects, storage, etc Experience with High Performance Computing (HPC) systems, clusters, and large-scale AI infrastructure Technical leadership: ability to lead onsite teams Security+ certification NICE TO HAVE: Bash/Python scripting Data center environment experience Linux+ certification 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:

Onsite Clearance Required This Jobot Job is hosted by: Madeline Lazarus Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $95,000 - $105,000 per year A bit about us: We are a defense technology company delivering mission-critical software and systems to the U.S. Navy. Our engineering teams build, integrate, and field systems for submarines, aircraft carriers, and shore-based platforms, working in our own labs and alongside Navy customers and partners. Location: Middletown, RI Onsite/hybrid Active Secret clearance required Why join us? Direct impact on U.S. Navy submarine combat systems and operational readiness Real systems engineering depth across the full life cycle, not a narrow slice Mentorship from senior systems engineers on programs of record Agile team with close collaboration across software, product, and test Sign-on bonus, 401(k) with company match, medical, dental, vision, FSA, life insurance, PTO, holidays, and tuition and training reimbursement Job Details You will support requirements analysis, design, integration, and test of mission-critical Navy systems. Working with guidance from senior engineers, you will help ensure designs meet government specifications and are fully documented, verified, and certified. What You'll Own Requirements decomposition, tracing, and maintenance at the system and subsystem level Support for functional and performance analysis, system design, and trade studies Interface definitions between system components, software, and external systems Engineering products including specifications, interface documents, diagrams, and test procedures Integration and verification testing in lab environments, with test results traced to requirements Identification and resolution of design and interface issues found during development, integration, and test Accreditation and certification documentation, evidence, and support during evaluation events What You Bring Require Active DoD Secret clearance at time of hire Bachelor's in Systems Engineering, Electrical Engineering, Computer Engineering, Computer Science, or related field 1 to 2 years of professional engineering experience (internships and co-ops with substantial systems engineering work considered) Understanding of systems engineering concepts and the system development life cycle Requirements management tool experience (IBM DOORS, Jama, or similar) Technical documentation experience: specifications, interface definitions, drawings, or test procedures Familiarity with Model Based Systems Engineering (MBSE) Strong written and verbal communication Preferred SysML and MBSE tools (Cameo/MagicDraw, IBM Rhapsody, Sparx Enterprise Architect) Navy combat or weapon systems experience, including Tomahawk Accreditation, certification, or DoD RMF support Linux and networking fundamentals Python or Bash scripting Government or Navy customer experience Agile development environment 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:

Onsite Clearance Required This Jobot Job is hosted by: Madeline Lazarus Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $155,000 - $185,000 per year A bit about us: We are a defense technology company delivering mission-critical software and systems to the U.S. Navy. Our engineering teams build, integrate, and field systems for submarines, aircraft carriers, and shore-based platforms, working in our own labs and alongside Navy customers and partners. Why join us? Direct impact on U.S. Navy submarine combat systems Technical leadership that stays hands-on in code, debugging, and integration Modernization work: migrating legacy applications to a Kubernetes-based platform Full life cycle ownership, from requirements through lab integration, formal test, and deployment Sign-on bonus, 401(k) with company match, medical, dental, vision, FSA, life insurance, PTO, holidays, and tuition and training reimbursement Job Details You will set technical direction for complex C++ software systems while staying directly involved in development, debugging, testing, and integration. You will make design decisions across application, middleware, interface, and deployment layers, lead the team through formal test and fielding, and mentor other engineers. What You'll Own Architecture, design, development, and integration of modern C++ (C+ and newer) systems for submarine combat systems Technical direction across application, middleware, interface, and deployment layers, including legacy migration to Kubernetes Distributed application design using APIs, gRPC, Protocol Buffers, and messaging middleware such as DDS or AMQP Integration of COTS, open-source, and custom-developed software components Diagnosis of complex software, networking, concurrency, performance, and integration issues in lab and on Navy platforms Unit, component, integration, and system-level test strategy, and team adherence to it Code and design reviews, engineer mentorship, and status, risk, and recommendation briefs to program leadership Secure coding, configuration management, and engineering best practices across the team What You Bring Required Active DoD Secret clearance at time of hire Bachelor's in Computer Science, Computer Engineering, or related field 8+ years of progressively responsible software development experience Technical lead experience on a complex software product or integration effort Advanced modern C++ (C++), including multithreading, asynchronous design, and performance tuning Strong Linux experience, ideally RHEL or a derivative Designing and troubleshooting distributed, event-driven, or service-oriented systems Practical gRPC, Protocol Buffers, and networking fundamentals Test strategy definition and automated testing in CI/CD, with Git-based configuration management Translating system requirements and interface definitions into maintainable designs Strong communication, including briefing status and risk to leadership and customers Preferred Kubernetes deployment and operations, including Helm, operators, or custom controllers DDS (e.g., RTI Connext), AMQP, or other real-time messaging middleware Tactical, combat, weapon-control, or other mission-critical system integration Prometheus, Grafana, or Loki Python or bash scripting for automation and tooling DevSecOps and CI/CD tools such as GitLab, Jenkins, or Bamboo Integration or test events at Navy or customer sites 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:

Onsite Clearance Required This Jobot Job is hosted by: Madeline Lazarus Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $155,000 - $185,000 per year A bit about us: We are a defense technology company delivering mission-critical software and systems to the U.S. Navy. Our engineering teams build, integrate, and field systems for submarines, aircraft carriers, and shore-based platforms, working in our own labs and alongside Navy customers and partners. Why join us? Direct impact on U.S. Navy submarine combat systems Technical leadership that stays hands-on in code, debugging, and integration Modernization work: migrating legacy applications to a Kubernetes-based platform Full life cycle ownership, from requirements through lab integration, formal test, and deployment Sign-on bonus, 401(k) with company match, medical, dental, vision, FSA, life insurance, PTO, holidays, and tuition and training reimbursement Job Details You will set technical direction for complex C++ software systems while staying directly involved in development, debugging, testing, and integration. You will make design decisions across application, middleware, interface, and deployment layers, lead the team through formal test and fielding, and mentor other engineers. What You'll Own Architecture, design, development, and integration of modern C++ (C+ and newer) systems for submarine combat systems Technical direction across application, middleware, interface, and deployment layers, including legacy migration to Kubernetes Distributed application design using APIs, gRPC, Protocol Buffers, and messaging middleware such as DDS or AMQP Integration of COTS, open-source, and custom-developed software components Diagnosis of complex software, networking, concurrency, performance, and integration issues in lab and on Navy platforms Unit, component, integration, and system-level test strategy, and team adherence to it Code and design reviews, engineer mentorship, and status, risk, and recommendation briefs to program leadership Secure coding, configuration management, and engineering best practices across the team What You Bring Required Active DoD Secret clearance at time of hire Bachelor's in Computer Science, Computer Engineering, or related field 8+ years of progressively responsible software development experience Technical lead experience on a complex software product or integration effort Advanced modern C++ (C++), including multithreading, asynchronous design, and performance tuning Strong Linux experience, ideally RHEL or a derivative Designing and troubleshooting distributed, event-driven, or service-oriented systems Practical gRPC, Protocol Buffers, and networking fundamentals Test strategy definition and automated testing in CI/CD, with Git-based configuration management Translating system requirements and interface definitions into maintainable designs Strong communication, including briefing status and risk to leadership and customers Preferred Kubernetes deployment and operations, including Helm, operators, or custom controllers DDS (e.g., RTI Connext), AMQP, or other real-time messaging middleware Tactical, combat, weapon-control, or other mission-critical system integration Prometheus, Grafana, or Loki Python or bash scripting for automation and tooling DevSecOps and CI/CD tools such as GitLab, Jenkins, or Bamboo Integration or test events at Navy or customer sites 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:

Clearance Required This Jobot Job is hosted by: Madeline Lazarus Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $85,000 - $105,000 per year A bit about us: We are a leading provider of information technology, logistics management, business process re-engineering, financial management, and administrative support services for the Department of the Navy and Homeland Security. We have an incredible team of engineers, analysts, and IT professionals ready to welcome you aboard! Title: Software Engineer I Location: Middletown, RI Salary: $85,000 - $105,000 Why join us? Full time, direct hire Quick interview process Great opportunity for career advancement! Vacation/PTO Medical Dental Vision Job Details What you will be doing: Designing, developing, and maintaining C++ applications supporting U.S. Navy submarine combat systems. Building and packaging software applications as containers for deployment to a Kubernetes-based runtime environment, working with senior engineers on configuration and deployment. Developing unit tests for software components and supporting test coverage as features evolve. Executing components and integration testing in lab environments troubleshooting defects identified during test. Collaborating with product leads and test engineers to understand requirements, resolve issues and deliver software within an agile development environment. Producing clear, maintainable, well-docume Required Skills: Active DoD Secret clearance at time of hire. Bachelor's degree in Computer Science, Computer Engineering, or a related field, plus 1-3 years of professional software development experience using one or more of the following languages: Java, C+ (or newer), or Python. Working knowledge of C+ or newer and fundamental software engineering practices. Familiarity with Git-based version control and code review workflows. Familiarity with Linux based development environments. Familiarity with agile software development methodologies and collaborative team environments. Ability to communicate effectively within technical teams and customer environments. Preferred Skills: Experience developing/working in a Linux environment, including Red Hat Enterprise Linux (RHEL). Experience containerizing applications with Docker or Podman. Familiarity with Kubernetes or another container orchestration platform. Familiarity with CI/CD pipelines and automated build, test and deployment workflows. Scripting experience in Python or bash. Ability to learn new technologies and take on increasing responsibilities. Experience working within a small agile team environment. 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:

Principal Engineering/Architect role with leading global cloud technology firm! This Jobot Job is hosted by: Kurt Holzmuller Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $170,000 - $190,000 per year A bit about us: We are a leading global tech company on the cutting edge of cloud and data solutions. With a strong emphasis on innovation, inclusivity, and work-life balance, we foster a dynamic environment for career growth. With a global customer base including all sectors, from Fortune 500 to up-and-coming startups, we over diverse product lines including, but not limited to, Cloud Services, Artificial Intelligence, Storage, Networking, Supercomputing, and Digital Transformation offerings. Why join us? Competitive Pay DOE ($150-$220k) + Performance Bonus Comprehensive Benefits Package that is top-of-market Relocation Assistance (if needed) 401k with a match Unlimited PTO Top-notch work/life balance, career growth, and exceptionally high employee satisfaction More! Job Details We are seeking a senior-level infrastructure engineer to serve as the technical bridge between federal customer operations teams and internal engineering organizations. This is a highly hands-on role focused on diagnosing and resolving complex production issues across Linux systems, virtualization, networking, containers, and cloud infrastructure. This is primarily a remote role where your time will be split between primarily working virtually and supporting customer environments in Dallas, Oklahoma City, and Montgomery, AL. Travel to customer sites is up to 25% MUST HAVE: Active Secret Clearance or ability to obtain one 10+ years of infrastructure engineering/support and systems administration experience VMware (ESXi, vCenter, NSX) Linux systems administration (Redhat, Ubuntu) Kubernetes and containerized workloads AWS, Azure, or hybrid cloud infrastructure NICE TO HAVE: Federal or DoD customer experience KVM/libvirt Certifications: VCP, RHCSA/RHCE, CKA/CKAD Security+, CISSP, or CASP+ AWS, Azure, or GCP certifications DevOps tools: Prometheus, Grafana, Ansible, Terraform Identity Management 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:

Principal Engineering/Architect role with leading global cloud technology firm! This Jobot Job is hosted by: Kurt Holzmuller Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $170,000 - $190,000 per year A bit about us: We are a leading global tech company on the cutting edge of cloud and data solutions. With a strong emphasis on innovation, inclusivity, and work-life balance, we foster a dynamic environment for career growth. With a global customer base including all sectors, from Fortune 500 to up-and-coming startups, we over diverse product lines including, but not limited to, Cloud Services, Artificial Intelligence, Storage, Networking, Supercomputing, and Digital Transformation offerings. Why join us? Competitive Pay DOE ($150-$220k) + Performance Bonus Comprehensive Benefits Package that is top-of-market Relocation Assistance (if needed) 401k with a match Unlimited PTO Top-notch work/life balance, career growth, and exceptionally high employee satisfaction More! Job Details We are seeking a senior-level infrastructure engineer to serve as the technical bridge between federal customer operations teams and internal engineering organizations. This is a highly hands-on role focused on diagnosing and resolving complex production issues across Linux systems, virtualization, networking, containers, and cloud infrastructure. This is primarily a remote role where your time will be split between primarily working virtually and supporting customer environments in Dallas, Oklahoma City, and Montgomery, AL. Travel to customer sites is up to 25% MUST HAVE: Active Secret Clearance or ability to obtain one 10+ years of infrastructure engineering/support and systems administration experience VMware (ESXi, vCenter, NSX) Linux systems administration (Redhat, Ubuntu) Kubernetes and containerized workloads AWS, Azure, or hybrid cloud infrastructure NICE TO HAVE: Federal or DoD customer experience KVM/libvirt Certifications: VCP, RHCSA/RHCE, CKA/CKAD Security+, CISSP, or CASP+ AWS, Azure, or GCP certifications DevOps tools: Prometheus, Grafana, Ansible, Terraform Identity Management 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:

Own where changes land and what it costs to run This Jobot Job is hosted by: Charles Simmons Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $150,000 - $175,000 per year A bit about us: Small, mid staged AI native SaaS startup helps state and local governments modernize paper-based processes into intelligent, AI-driven digital workflows. As we evolve into an AI-first platform, our development velocity, model iteration frequency, and cross-team complexity increase. A reliable, cost-disciplined platform is essential to scale safely and predictably. Why join us? 100% work from home (US based only) Own the platform that build, validation, and release loops run on and deploy to: infrastructure, environments, Kubernetes, Networking, observability, and the AI serving and routing layer. Competitive base, bonus, and equity options Medical, dental, and vision insurance plans, with significant employer contributions for employees AND dependents (contributions based on base-level plan; buyup plans available at additional costs) Company-sponsored life, short-term, and long-term disability insurance 11 Paid holidays Flexible time off 401k plan with 4% employer match Monthly stipend for home office expenses Monthly wellness stipend Job Details Everything runs on Azure, and the platform is getting more interesting: an AI product suite heading toward general availability, self-hosted AI observability and telemetry inside a FedRAMP-conscious boundary, autonomous agents participating in delivery, and a microservices decomposition in flight. You will deploy, operate, and scale that platform, and you will own its cost discipline. This is a production seat with production access, and we treat that as an engineering responsibility, not a badge: least privilege, audit trails, and environment integrity are part of the job, because our customers are governments. You will work alongside our AI Operations Engineer, who owns the agentic delivery system (the loops that build, validate, and release code). You own the platform those loops run on and deploy to: infrastructure, environments, Kubernetes, networking, observability, and the AI serving and routing layer. The boundary is simple: they own how changes move; you own where changes land and what it costs to run. Responsibilities Deploy and operate our Azure platform: AKS, networking, identity, storage, and environments from development through production Own infrastructure as code end to end: environments are reproducible, drift is detected, and nothing reaches an environment without platform visibility Operate the AI infrastructure layer: self-hosted observability and evaluation tooling (Langfuse), product telemetry, model gateway and per-workload routing, and compliant GovCloud inference paths Own cloud and AI cost: metering, budgets, unit economics, MACC drawdown strategy, and active remediation; cost is an engineering metric here, not a finance afterthought Harden production access and controls: least privilege, secrets management, audit evidence, and a FedRAMP-conscious security posture Partner with AI Operations on the deploy-and-release path: Octopus Deploy, environment promotion, progressive rollout, and rollback Build platform reliability: monitoring, alerting, incident response, and capacity planning Give the microservices decomposition the platform primitives it needs: service infrastructure, scaling patterns, and clean environment boundaries Qualifications 5+ years in DevOps, platform engineering, or site reliability engineering in SaaS environments Deep Azure experience: AKS, networking, identity (Entra), and monitoring; you have run production Kubernetes Infrastructure as code as your default (Terraform, Bicep, or similar), plus strong scripting; you automate before you document MLOps experience: deploying and operating LLM or ML systems in production, including model gateways, inference infrastructure, or AI observability stacks Demonstrated cost work: you can point to cloud spend you found, explained, and reduced Experience in compliance-heavy environments (FedRAMP, StateRAMP, SOC 2, or similar) is a strong plus Comfortable holding production access, with the discipline that implies Key Competencies Treats environment integrity as sacred: no invisible changes, no snowflake servers, no heroics that cannot be audited Cost literacy: reads a cloud bill the way an engineer reads a stack trace Automates first: your instinct is a pipeline or a policy, not a runbook step Thinks in the open: surfaces risk early and documents what you build Calm in production incidents; rigorous in the postmortem What This Role Is NOT This is not a ticket-queue operations role and not a NOC seat. If your model of DevOps is executing change requests that other people design, this is not the fit. It is also not a research MLOps role: the AI infrastructure here serves a shipping product for government customers, with the reliability and compliance expectations that implies. How We Work We run an AI-native product development lifecycle. Autonomous agents participate in planning, coding, validation, and release; humans own judgment, standards, and direction. Work moves through a Plan-and-Review cadence rather than ceremony-heavy Agile. Two standards are non-negotiable: you own and can explain everything you ship, no matter what produced it, and you think in the open, surfacing uncertainty early rather than burying it. Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

This Jobot Job is hosted by: Craig Rosecrans Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $200,000 - $275,000 per year A bit about us: We are partnering with a rapidly growing, venture-backed technology company operating at the intersection of Artificial Intelligence and cybersecurity to hire an AI Solutions Architect focused on Federal customers. This is not a traditional Solutions Architect position where you simply deliver presentations and hand opportunities back to Engineering. We are looking for someone who can architect, build, deploy, demonstrate, and troubleshoot real AI solutions while working directly with mission owners across the Intelligence Community, Department of Defense, DHS, and civilian federal agencies. You will serve as the technical lead throughout the customer journey-from initial discovery and architecture discussions through proof-of-value, deployment, integration, and technical win. The right person will be equally comfortable writing Python, deploying Kubernetes into an air-gapped environment, building an AI proof of concept, whiteboarding an architecture, and presenting the solution to senior government stakeholders. Why join us? You'll join a well-funded, rapidly scaling company building technology in one of the most important emerging areas of cybersecurity: protecting AI systems themselves. The company has recently completed a significant new funding round and is continuing to expand its engineering, product, and federal organizations. The opportunity offers: Fully remote work within the United States Significant exposure to cutting-edge AI and cybersecurity technology Direct involvement with important federal AI initiatives High technical autonomy and ownership Opportunity to work closely with Product, Research, Engineering, and customers Flexible paid time off Company holidays Home-office and connectivity support Dedicated learning and development funding for training, certifications, conferences, and industry events If you're a deeply technical Solutions Architect who understands Federal missions, AI/ML, cloud-native infrastructure, and security-and you want to help solve the emerging challenge of securing AI systems-we'd love to speak with you. Job Details What You'll Do Lead Federal Technical Engagements: Partner with federal Account Directors to lead technical strategy across complex government opportunities. Conduct discovery with mission owners, AI/ML engineers, security teams, architects, and executive stakeholders. Understand customers' AI initiatives, architectures, data pipelines, infrastructure, security requirements, and compliance constraints. Translate loosely defined mission challenges into clearly scoped technical evaluations and proof-of-value engagements. Establish measurable success criteria, timelines, technical requirements, and exit conditions. Serve as a trusted technical advisor and provide candid guidance around where the platform is-and is not-the right solution. Architect & Deploy Real Solutions: Architect and deploy an enterprise AI security platform across both connected SaaS and fully disconnected/air-gapped environments. Package and transfer container images, Helm charts, dependencies, and supporting artifacts into environments with limited or no internet connectivity. Deploy and administer Kubernetes-based environments utilizing technologies such as: Kubernetes Docker Helm Private container registries OpenShift VMware / Proxmox AWS, including government and restricted environments Troubleshoot deployment, networking, integration, and infrastructure issues during customer evaluations and initial implementations. Work directly with SDKs and APIs to build meaningful integrations into customer environments. Build AI Demonstrations & Proofs of Concept: Develop mission-focused AI applications and technical demonstrations involving: Large Language Models Agentic AI Computer Vision Model inference Retrieval/RAG architectures AI/ML pipelines Demonstrate how AI systems can be attacked, compromised, or manipulated-and how those systems can be protected. Integrate AI security capabilities throughout the ML lifecycle, including model scanning, CI/CD pipelines, application security, runtime detection, and response. Build credible demonstrations that resonate with engineers and mission owners rather than relying on canned sales demos. Advise on AI Security: Help federal customers understand how to secure: AI/ML models LLM-powered applications AI agents Data and inference pipelines Model supply chains AI infrastructure Production AI workloads Apply established security concepts and frameworks including: MITRE ATLAS OWASP Top 10 for LLM Applications NIST AI Risk Management Framework Adversarial machine learning concepts and attack methodologies Communicate & Influence: Deliver live technical demonstrations, architecture sessions, whiteboard discussions, and executive briefings. Present effectively to audiences ranging from ML engineers and data scientists to cybersecurity leaders and senior executives. Create technical evaluation reports, reference architectures, deployment documentation, and integration guides. Represent the organization at federal engagements, conferences, webinars, and industry events. Translate lessons learned in the field into reusable demonstrations, technical enablement, and feedback for Product, Research, and Engineering. What We're Looking For We are looking for a highly technical, customer-facing architect who has actually worked inside federal environments and understands the realities of deploying sophisticated technology into government infrastructure. Ideal candidates will bring: 5+ years of experience in Solutions Architecture, Solutions Engineering, Applied AI Engineering, ML Engineering, or a similar customer-facing technical role. Direct experience supporting federal customers across the Intelligence Community, DoD, DHS, or civilian agencies. Experience operating within federal missions-not simply selling technology into federal accounts. Strong hands-on Python development skills. Practical experience building and integrating modern AI/ML systems. Experience with technologies and concepts such as: PyTorch Hugging Face ONNX LLM APIs Model inference RAG Agentic AI architectures AI/ML pipelines Strong hands-on experience with Docker, Kubernetes, and Helm. Experience deploying applications into restricted, disconnected, or air-gapped environments. Understanding of MLOps, CI/CD, and the lifecycle of models from development through production. Working knowledge of cybersecurity and AI security concepts. Strong technical presentation and communication skills. Ability to take an ambiguous customer problem and independently turn it into an executable technical plan. Ability and willingness to travel for customer engagements and industry events. Especially Valuable Experience: Additional experience in any of the following areas would be highly desirable: Active Top Secret or higher-level security clearance. Supporting AI/ML programs in classified environments. Securing production AI or machine-learning systems. AI/LLM red teaming or adversarial machine learning. AI security or AI evaluation tooling. Model formats and AI supply-chain security, including: ONNX SafeTensors GGUF Pickle-based serialization AWS GovCloud or other government cloud environments. OpenShift and private Kubernetes environments. Federal cybersecurity or compliance frameworks. Certifications such as Kubernetes, AWS, Azure, CISSP, or Security+. Public technical work including GitHub repositories, Hugging Face projects, conference presentations, open-source contributions, or technical writing. The Type of Person Who Will Thrive Here: This organization moves quickly and operates much more like a high-growth technology company than a traditional government contractor. We're looking for someone who enjoys solving problems without a perfectly defined playbook. You should be someone who can walk into an ambiguous federal mission problem, ask the right questions, architect a solution, stand up the environment, write the integration, demonstrate it live, troubleshoot what breaks, and explain the outcome to both engineers and executives. Intellectual curiosity is especially important. The strongest candidates are typically people who are constantly experimenting-building side projects, maintaining home labs, testing new AI frameworks, contributing to open source, publishing technical content, or simply teaching themselves technologies because they want to understand how they work. Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes . click apply for full job details

This Jobot Job is hosted by: Craig Rosecrans Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $200,000 - $275,000 per year A bit about us: We are partnering with a rapidly growing, venture-backed technology company operating at the intersection of Artificial Intelligence and cybersecurity to hire an AI Solutions Architect focused on Federal customers. This is not a traditional Solutions Architect position where you simply deliver presentations and hand opportunities back to Engineering. We are looking for someone who can architect, build, deploy, demonstrate, and troubleshoot real AI solutions while working directly with mission owners across the Intelligence Community, Department of Defense, DHS, and civilian federal agencies. You will serve as the technical lead throughout the customer journey-from initial discovery and architecture discussions through proof-of-value, deployment, integration, and technical win. The right person will be equally comfortable writing Python, deploying Kubernetes into an air-gapped environment, building an AI proof of concept, whiteboarding an architecture, and presenting the solution to senior government stakeholders. Why join us? You'll join a well-funded, rapidly scaling company building technology in one of the most important emerging areas of cybersecurity: protecting AI systems themselves. The company has recently completed a significant new funding round and is continuing to expand its engineering, product, and federal organizations. The opportunity offers: Fully remote work within the United States Significant exposure to cutting-edge AI and cybersecurity technology Direct involvement with important federal AI initiatives High technical autonomy and ownership Opportunity to work closely with Product, Research, Engineering, and customers Flexible paid time off Company holidays Home-office and connectivity support Dedicated learning and development funding for training, certifications, conferences, and industry events If you're a deeply technical Solutions Architect who understands Federal missions, AI/ML, cloud-native infrastructure, and security-and you want to help solve the emerging challenge of securing AI systems-we'd love to speak with you. Job Details What You'll Do Lead Federal Technical Engagements: Partner with federal Account Directors to lead technical strategy across complex government opportunities. Conduct discovery with mission owners, AI/ML engineers, security teams, architects, and executive stakeholders. Understand customers' AI initiatives, architectures, data pipelines, infrastructure, security requirements, and compliance constraints. Translate loosely defined mission challenges into clearly scoped technical evaluations and proof-of-value engagements. Establish measurable success criteria, timelines, technical requirements, and exit conditions. Serve as a trusted technical advisor and provide candid guidance around where the platform is-and is not-the right solution. Architect & Deploy Real Solutions: Architect and deploy an enterprise AI security platform across both connected SaaS and fully disconnected/air-gapped environments. Package and transfer container images, Helm charts, dependencies, and supporting artifacts into environments with limited or no internet connectivity. Deploy and administer Kubernetes-based environments utilizing technologies such as: Kubernetes Docker Helm Private container registries OpenShift VMware / Proxmox AWS, including government and restricted environments Troubleshoot deployment, networking, integration, and infrastructure issues during customer evaluations and initial implementations. Work directly with SDKs and APIs to build meaningful integrations into customer environments. Build AI Demonstrations & Proofs of Concept: Develop mission-focused AI applications and technical demonstrations involving: Large Language Models Agentic AI Computer Vision Model inference Retrieval/RAG architectures AI/ML pipelines Demonstrate how AI systems can be attacked, compromised, or manipulated-and how those systems can be protected. Integrate AI security capabilities throughout the ML lifecycle, including model scanning, CI/CD pipelines, application security, runtime detection, and response. Build credible demonstrations that resonate with engineers and mission owners rather than relying on canned sales demos. Advise on AI Security: Help federal customers understand how to secure: AI/ML models LLM-powered applications AI agents Data and inference pipelines Model supply chains AI infrastructure Production AI workloads Apply established security concepts and frameworks including: MITRE ATLAS OWASP Top 10 for LLM Applications NIST AI Risk Management Framework Adversarial machine learning concepts and attack methodologies Communicate & Influence: Deliver live technical demonstrations, architecture sessions, whiteboard discussions, and executive briefings. Present effectively to audiences ranging from ML engineers and data scientists to cybersecurity leaders and senior executives. Create technical evaluation reports, reference architectures, deployment documentation, and integration guides. Represent the organization at federal engagements, conferences, webinars, and industry events. Translate lessons learned in the field into reusable demonstrations, technical enablement, and feedback for Product, Research, and Engineering. What We're Looking For We are looking for a highly technical, customer-facing architect who has actually worked inside federal environments and understands the realities of deploying sophisticated technology into government infrastructure. Ideal candidates will bring: 5+ years of experience in Solutions Architecture, Solutions Engineering, Applied AI Engineering, ML Engineering, or a similar customer-facing technical role. Direct experience supporting federal customers across the Intelligence Community, DoD, DHS, or civilian agencies. Experience operating within federal missions-not simply selling technology into federal accounts. Strong hands-on Python development skills. Practical experience building and integrating modern AI/ML systems. Experience with technologies and concepts such as: PyTorch Hugging Face ONNX LLM APIs Model inference RAG Agentic AI architectures AI/ML pipelines Strong hands-on experience with Docker, Kubernetes, and Helm. Experience deploying applications into restricted, disconnected, or air-gapped environments. Understanding of MLOps, CI/CD, and the lifecycle of models from development through production. Working knowledge of cybersecurity and AI security concepts. Strong technical presentation and communication skills. Ability to take an ambiguous customer problem and independently turn it into an executable technical plan. Ability and willingness to travel for customer engagements and industry events. Especially Valuable Experience: Additional experience in any of the following areas would be highly desirable: Active Top Secret or higher-level security clearance. Supporting AI/ML programs in classified environments. Securing production AI or machine-learning systems. AI/LLM red teaming or adversarial machine learning. AI security or AI evaluation tooling. Model formats and AI supply-chain security, including: ONNX SafeTensors GGUF Pickle-based serialization AWS GovCloud or other government cloud environments. OpenShift and private Kubernetes environments. Federal cybersecurity or compliance frameworks. Certifications such as Kubernetes, AWS, Azure, CISSP, or Security+. Public technical work including GitHub repositories, Hugging Face projects, conference presentations, open-source contributions, or technical writing. The Type of Person Who Will Thrive Here: This organization moves quickly and operates much more like a high-growth technology company than a traditional government contractor. We're looking for someone who enjoys solving problems without a perfectly defined playbook. You should be someone who can walk into an ambiguous federal mission problem, ask the right questions, architect a solution, stand up the environment, write the integration, demonstrate it live, troubleshoot what breaks, and explain the outcome to both engineers and executives. Intellectual curiosity is especially important. The strongest candidates are typically people who are constantly experimenting-building side projects, maintaining home labs, testing new AI frameworks, contributing to open source, publishing technical content, or simply teaching themselves technologies because they want to understand how they work. Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes . click apply for full job details

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

Work on Cutting-Edge Navy Defense Systems! Systems Requirements Engineer Active Secret Clearance Integrated Hardware/Software Systems Virginia or Rhode Island This Jobot Job is hosted by: Madeline Lazarus Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $120,000 - $135,000 per year A bit about us: We are a defense technology company delivering mission-critical systems to the U.S. Navy. Our engineering teams develop prototype and production systems for submarines, aircraft carriers, and shore-based platforms, working in our own labs and alongside Navy customers and industry partners. Why join us? Direct impact on U.S. Navy submarine combat systems Full life cycle ownership, from concept through fielding Lab work plus hands-on time at customer and partner sites Small agile teams with software, hardware, product, and test engineers Sign-on bonus, 401(k) with company match, profit sharing plan, medical, dental, vision, FSA, life insurance, PTO, holidays, and tuition and training reimbursement Job Details Role Overview You will lead systems engineering activities across the full development life cycle, including requirements, architecture, interfaces, integration, and verification and validation. You will own technical work end to end, resolve stakeholder conflicts, brief Navy customers, and mentor junior systems engineers. What You'll Own Requirements analysis, functional and performance analysis, architecture evaluation, trade studies, integration, and V&V Stakeholder needs elicitation, requirements conflict resolution, and technical communication with internal teams and Navy customers Bidirectional traceability from stakeholder needs through system requirements, design, and V&V results System interfaces and Interface Control Documents (ICDs) across hardware, software, and external systems V&V planning, execution, and reporting, including test plans, procedures, and reports Technical risk identification, mitigation planning, and tracking to closure Mentorship of junior systems engineers and review of their engineering products What You Bring U.S. citizenship and an active DoD Secret clearance at time of hire Bachelor's in Systems, Electrical, or Computer Engineering, Computer Science, or related field 5 to 10 years of professional systems engineering experience Full life cycle experience on integrated hardware/software systems Requirements management in IBM DOORS, Jama, or similar, including traceability SysML modeling in Cameo/MagicDraw or similar Authoring ICDs, system specifications, and architecture documentation Developing and executing V&V plans, procedures, and reports Strong written, verbal, and briefing skills with customers and program leadership Preferred Navy combat, weapon, submarine, or acoustic systems MBSE on a program of record RM&A analysis and environmental qualification testing System accreditation, certification, or DoD RMF support Fielding, installation, or test events at Navy or partner sites Linux-based and containerized environments INCOSE CSEP or ASEP Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

This Jobot Job is hosted by: Craig Rosecrans Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $200,000 - $275,000 per year A bit about us: We are partnering with a rapidly growing, venture-backed technology company operating at the intersection of Artificial Intelligence and cybersecurity to hire an AI Solutions Architect focused on Federal customers. This is not a traditional Solutions Architect position where you simply deliver presentations and hand opportunities back to Engineering. We are looking for someone who can architect, build, deploy, demonstrate, and troubleshoot real AI solutions while working directly with mission owners across the Intelligence Community, Department of Defense, DHS, and civilian federal agencies. You will serve as the technical lead throughout the customer journey-from initial discovery and architecture discussions through proof-of-value, deployment, integration, and technical win. The right person will be equally comfortable writing Python, deploying Kubernetes into an air-gapped environment, building an AI proof of concept, whiteboarding an architecture, and presenting the solution to senior government stakeholders. Why join us? You'll join a well-funded, rapidly scaling company building technology in one of the most important emerging areas of cybersecurity: protecting AI systems themselves. The company has recently completed a significant new funding round and is continuing to expand its engineering, product, and federal organizations. The opportunity offers: Fully remote work within the United States Significant exposure to cutting-edge AI and cybersecurity technology Direct involvement with important federal AI initiatives High technical autonomy and ownership Opportunity to work closely with Product, Research, Engineering, and customers Flexible paid time off Company holidays Home-office and connectivity support Dedicated learning and development funding for training, certifications, conferences, and industry events If you're a deeply technical Solutions Architect who understands Federal missions, AI/ML, cloud-native infrastructure, and security-and you want to help solve the emerging challenge of securing AI systems-we'd love to speak with you. Job Details What You'll Do Lead Federal Technical Engagements: Partner with federal Account Directors to lead technical strategy across complex government opportunities. Conduct discovery with mission owners, AI/ML engineers, security teams, architects, and executive stakeholders. Understand customers' AI initiatives, architectures, data pipelines, infrastructure, security requirements, and compliance constraints. Translate loosely defined mission challenges into clearly scoped technical evaluations and proof-of-value engagements. Establish measurable success criteria, timelines, technical requirements, and exit conditions. Serve as a trusted technical advisor and provide candid guidance around where the platform is-and is not-the right solution. Architect & Deploy Real Solutions: Architect and deploy an enterprise AI security platform across both connected SaaS and fully disconnected/air-gapped environments. Package and transfer container images, Helm charts, dependencies, and supporting artifacts into environments with limited or no internet connectivity. Deploy and administer Kubernetes-based environments utilizing technologies such as: Kubernetes Docker Helm Private container registries OpenShift VMware / Proxmox AWS, including government and restricted environments Troubleshoot deployment, networking, integration, and infrastructure issues during customer evaluations and initial implementations. Work directly with SDKs and APIs to build meaningful integrations into customer environments. Build AI Demonstrations & Proofs of Concept: Develop mission-focused AI applications and technical demonstrations involving: Large Language Models Agentic AI Computer Vision Model inference Retrieval/RAG architectures AI/ML pipelines Demonstrate how AI systems can be attacked, compromised, or manipulated-and how those systems can be protected. Integrate AI security capabilities throughout the ML lifecycle, including model scanning, CI/CD pipelines, application security, runtime detection, and response. Build credible demonstrations that resonate with engineers and mission owners rather than relying on canned sales demos. Advise on AI Security: Help federal customers understand how to secure: AI/ML models LLM-powered applications AI agents Data and inference pipelines Model supply chains AI infrastructure Production AI workloads Apply established security concepts and frameworks including: MITRE ATLAS OWASP Top 10 for LLM Applications NIST AI Risk Management Framework Adversarial machine learning concepts and attack methodologies Communicate & Influence: Deliver live technical demonstrations, architecture sessions, whiteboard discussions, and executive briefings. Present effectively to audiences ranging from ML engineers and data scientists to cybersecurity leaders and senior executives. Create technical evaluation reports, reference architectures, deployment documentation, and integration guides. Represent the organization at federal engagements, conferences, webinars, and industry events. Translate lessons learned in the field into reusable demonstrations, technical enablement, and feedback for Product, Research, and Engineering. What We're Looking For We are looking for a highly technical, customer-facing architect who has actually worked inside federal environments and understands the realities of deploying sophisticated technology into government infrastructure. Ideal candidates will bring: 5+ years of experience in Solutions Architecture, Solutions Engineering, Applied AI Engineering, ML Engineering, or a similar customer-facing technical role. Direct experience supporting federal customers across the Intelligence Community, DoD, DHS, or civilian agencies. Experience operating within federal missions-not simply selling technology into federal accounts. Strong hands-on Python development skills. Practical experience building and integrating modern AI/ML systems. Experience with technologies and concepts such as: PyTorch Hugging Face ONNX LLM APIs Model inference RAG Agentic AI architectures AI/ML pipelines Strong hands-on experience with Docker, Kubernetes, and Helm. Experience deploying applications into restricted, disconnected, or air-gapped environments. Understanding of MLOps, CI/CD, and the lifecycle of models from development through production. Working knowledge of cybersecurity and AI security concepts. Strong technical presentation and communication skills. Ability to take an ambiguous customer problem and independently turn it into an executable technical plan. Ability and willingness to travel for customer engagements and industry events. Especially Valuable Experience: Additional experience in any of the following areas would be highly desirable: Active Top Secret or higher-level security clearance. Supporting AI/ML programs in classified environments. Securing production AI or machine-learning systems. AI/LLM red teaming or adversarial machine learning. AI security or AI evaluation tooling. Model formats and AI supply-chain security, including: ONNX SafeTensors GGUF Pickle-based serialization AWS GovCloud or other government cloud environments. OpenShift and private Kubernetes environments. Federal cybersecurity or compliance frameworks. Certifications such as Kubernetes, AWS, Azure, CISSP, or Security+. Public technical work including GitHub repositories, Hugging Face projects, conference presentations, open-source contributions, or technical writing. The Type of Person Who Will Thrive Here: This organization moves quickly and operates much more like a high-growth technology company than a traditional government contractor. We're looking for someone who enjoys solving problems without a perfectly defined playbook. You should be someone who can walk into an ambiguous federal mission problem, ask the right questions, architect a solution, stand up the environment, write the integration, demonstrate it live, troubleshoot what breaks, and explain the outcome to both engineers and executives. Intellectual curiosity is especially important. The strongest candidates are typically people who are constantly experimenting-building side projects, maintaining home labs, testing new AI frameworks, contributing to open source, publishing technical content, or simply teaching themselves technologies because they want to understand how they work. Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes . click apply for full job details