This job is with Braze, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At Braze, we have found our people. We're a genuinely approachable, exceptionally kind, and intensely passionate crew. We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity - inside and outside our organization. To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success. Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture. If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can't wait to meet you. WHAT YOU'LL DO Braze is seeking a Staff Machine Learning Engineer to join our Predictive and Generative AI (PGAI) team. The team's mission is to deliver a truly engaging and personalized customer experience through the creation of ML and AI enhanced marketing solutions. We run those solutions as production systems at global scale, from the distributed pipelines that train models for each customer to the high-throughput APIs that serve predictions into our messaging systems across multiple regions. You will own the platform underneath, and you will make deploying, operating, and scaling ML at Braze fast, safe, and efficient. As the Staff Engineer on the team, you will: Identify and drive the transformative initiatives that change how the team runs ML in production, whether that's replatforming our queueing and orchestration, overhauling deployment and cloud identity, or retiring a generation of infrastructure Build and ship at high velocity. Staff at Braze is a hands-on delivery role; you carry the most complex infrastructure initiatives yourself from design through production. Current examples include multi-region model serving fleets, the pipelines that keep hundreds of customer-specific models healthy, and the CI and deployment tooling that moves it all safely Own the platform's technical vision and production quality bar. Set direction for how models are trained, deployed, served, and observed; lead incident response for ML systems; and drive the reliability and cost work that keeps the platform efficient at scale Drive initiatives that span teams. Our platform builds on shared infrastructure, deployment tooling, and data systems owned with partner teams, and you carry the technical relationships with those teams Raise the team's engineering quality through design review, code review, and production readiness for ML systems, and mentor other senior engineers and data scientists Connect technical decisions to customer and business outcomes, and represent the team's technical perspective to product and engineering leadership WHO YOU ARE 8+ years building and operating distributed systems in production, with depth in deployment and operations. You have designed services for scale and reliability, owned CI/CD and infrastructure as code, and run what you built under production load Hands-on experience with ML workloads in production. Training pipelines, model serving, feature systems, or ML platform tooling all count; deep modeling experience is a plus rather than a requirement A technical leader who has owned direction for a team, led multi-quarter initiatives across team boundaries, and grown senior engineers, all while keeping a high personal output Deep working knowledge of Kubernetes and cloud infrastructure, including identity and access management, networking, and the cost profile of what you run An effective communicator, both verbal and written, whose designs and recommendations build consensus and drive forward decision making Bonus: Queueing and orchestration systems such as Celery, RabbitMQ, Kafka, or Ray ML platform tooling such as MLflow or another model registry, feature stores, or ML observability Experience in our stack (Python, Ruby on Rails, MongoDB, Redis, Kubernetes) Operating under compliance regimes such as SOX or HIPAA Customer engagement, personalization, or marketing technology domain experience For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $184,000 and $314,000/year, with an expected On Target Earnings (OTE) between $204,000 and $348,000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, this role qualifies for a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that you will own a piece of our company. WHAT WE OFFER Braze benefits vary by location, and we encourage you to review our specific benefits offerings for each country at here . More details on benefits plans will be provided if you receive an offer of employment. From offering comprehensive benefits to fostering hybrid ways of working, we've got you covered so you can prioritize work-life harmony. Braze offers benefits such as: Competitive compensation that may include equity Retirement and Employee Stock Purchase Plans Flexible paid time off Comprehensive benefit plans covering medical, dental, vision, life, and disability Family services that include fertility benefits and equal paid parental leave Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend A curated in-office employee experience, designed to foster community, team connections, and innovation Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching Employee Resource Groups that provide supportive communities within Braze Collaborative, transparent, and fun culture recognized as a Great Place to Work ABOUT BRAZE Braze is the leading customer engagement platform that empowers brands to Be Absolutely Engaging Braze helps brands deliver great customer experiences that drive value both for consumers and for their businesses. Built on a foundation of composable intelligence, BrazeAI allows marketers to combine and activate AI agents, models, and features at every touchpoint throughout the Braze Customer Engagement Platform for smarter, faster, and more meaningful customer engagement. From cross-channel messaging and journey orchestration to Al-powered decisioning and optimization, Braze enables companies to turn action into interaction through autonomous, 1:1 personalized experiences. The company has repeatedly been recognized as a Leader in marketing technology by industry analysts, and was voted a G2 "Best of Marketing and Digital Advertising Software Product" in 2025. Braze was also named a 2025 Best Companies To Work For by U.S. News and World Report, a 2025 America's Greatest Companies by Newsweek, and a 2025 Fortune Best Workplace in Technology by Great Place To Work , among other accolades. Braze is also proudly certified as a Great Place to Work in the U.S., the UK, Australia, and Singapore. The company is headquartered in New York with offices in Austin, Berlin, Bucharest, Chicago, Dubai, Jakarta, London, Paris, San Francisco, São Paulo, Singapore, Seoul, Sydney and Tokyo. BRAZE IS AN EQUAL OPPORTUNITY EMPLOYER At Braze, we strive to create equitable growth and opportunities inside and outside the organization. Building meaningful connections is at the heart of everything we do, and that includes our recruiting practices. We're committed to offering all candidates a fair, accessible, and inclusive experience - regardless of age, color, disability, gender identity, marital status, maternity, national origin, pregnancy, race, religion, sex, sexual orientation, or status as a protected veteran. When applying and interviewing with Braze, we want you to feel comfortable showcasing what makes you you. We know that sometimes different circumstances can lead talented people to hesitate to apply for a role unless they meet 100% of the criteria. If this sounds familiar, we encourage you to apply, as we'd love to meet you OUR AI-POWERED BRAZE RECRUITMENT PROCESS At Braze, we're committed to a fair and transparent candidate experience. To help our recruitment teams focus on what matters most - the person behind each application - we use AI-assisted tools at certain stages of our recruitment process. This includes using AI to analyze the experience, skills and qualifications in your application materials to help with screening and prioritizing candidates. Such screening may amount to a form of solely automated decision-making. We also use AI for administrative support, like scheduling and recording interviews and summarizing interview notes. Our recruiting teams remain responsible for all hiring decisions and are involved throughout the process. . click apply for full job details
11/13/2026
Full time
This job is with Braze, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At Braze, we have found our people. We're a genuinely approachable, exceptionally kind, and intensely passionate crew. We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity - inside and outside our organization. To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success. Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture. If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can't wait to meet you. WHAT YOU'LL DO Braze is seeking a Staff Machine Learning Engineer to join our Predictive and Generative AI (PGAI) team. The team's mission is to deliver a truly engaging and personalized customer experience through the creation of ML and AI enhanced marketing solutions. We run those solutions as production systems at global scale, from the distributed pipelines that train models for each customer to the high-throughput APIs that serve predictions into our messaging systems across multiple regions. You will own the platform underneath, and you will make deploying, operating, and scaling ML at Braze fast, safe, and efficient. As the Staff Engineer on the team, you will: Identify and drive the transformative initiatives that change how the team runs ML in production, whether that's replatforming our queueing and orchestration, overhauling deployment and cloud identity, or retiring a generation of infrastructure Build and ship at high velocity. Staff at Braze is a hands-on delivery role; you carry the most complex infrastructure initiatives yourself from design through production. Current examples include multi-region model serving fleets, the pipelines that keep hundreds of customer-specific models healthy, and the CI and deployment tooling that moves it all safely Own the platform's technical vision and production quality bar. Set direction for how models are trained, deployed, served, and observed; lead incident response for ML systems; and drive the reliability and cost work that keeps the platform efficient at scale Drive initiatives that span teams. Our platform builds on shared infrastructure, deployment tooling, and data systems owned with partner teams, and you carry the technical relationships with those teams Raise the team's engineering quality through design review, code review, and production readiness for ML systems, and mentor other senior engineers and data scientists Connect technical decisions to customer and business outcomes, and represent the team's technical perspective to product and engineering leadership WHO YOU ARE 8+ years building and operating distributed systems in production, with depth in deployment and operations. You have designed services for scale and reliability, owned CI/CD and infrastructure as code, and run what you built under production load Hands-on experience with ML workloads in production. Training pipelines, model serving, feature systems, or ML platform tooling all count; deep modeling experience is a plus rather than a requirement A technical leader who has owned direction for a team, led multi-quarter initiatives across team boundaries, and grown senior engineers, all while keeping a high personal output Deep working knowledge of Kubernetes and cloud infrastructure, including identity and access management, networking, and the cost profile of what you run An effective communicator, both verbal and written, whose designs and recommendations build consensus and drive forward decision making Bonus: Queueing and orchestration systems such as Celery, RabbitMQ, Kafka, or Ray ML platform tooling such as MLflow or another model registry, feature stores, or ML observability Experience in our stack (Python, Ruby on Rails, MongoDB, Redis, Kubernetes) Operating under compliance regimes such as SOX or HIPAA Customer engagement, personalization, or marketing technology domain experience For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $184,000 and $314,000/year, with an expected On Target Earnings (OTE) between $204,000 and $348,000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, this role qualifies for a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that you will own a piece of our company. WHAT WE OFFER Braze benefits vary by location, and we encourage you to review our specific benefits offerings for each country at here . More details on benefits plans will be provided if you receive an offer of employment. From offering comprehensive benefits to fostering hybrid ways of working, we've got you covered so you can prioritize work-life harmony. Braze offers benefits such as: Competitive compensation that may include equity Retirement and Employee Stock Purchase Plans Flexible paid time off Comprehensive benefit plans covering medical, dental, vision, life, and disability Family services that include fertility benefits and equal paid parental leave Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend A curated in-office employee experience, designed to foster community, team connections, and innovation Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching Employee Resource Groups that provide supportive communities within Braze Collaborative, transparent, and fun culture recognized as a Great Place to Work ABOUT BRAZE Braze is the leading customer engagement platform that empowers brands to Be Absolutely Engaging Braze helps brands deliver great customer experiences that drive value both for consumers and for their businesses. Built on a foundation of composable intelligence, BrazeAI allows marketers to combine and activate AI agents, models, and features at every touchpoint throughout the Braze Customer Engagement Platform for smarter, faster, and more meaningful customer engagement. From cross-channel messaging and journey orchestration to Al-powered decisioning and optimization, Braze enables companies to turn action into interaction through autonomous, 1:1 personalized experiences. The company has repeatedly been recognized as a Leader in marketing technology by industry analysts, and was voted a G2 "Best of Marketing and Digital Advertising Software Product" in 2025. Braze was also named a 2025 Best Companies To Work For by U.S. News and World Report, a 2025 America's Greatest Companies by Newsweek, and a 2025 Fortune Best Workplace in Technology by Great Place To Work , among other accolades. Braze is also proudly certified as a Great Place to Work in the U.S., the UK, Australia, and Singapore. The company is headquartered in New York with offices in Austin, Berlin, Bucharest, Chicago, Dubai, Jakarta, London, Paris, San Francisco, São Paulo, Singapore, Seoul, Sydney and Tokyo. BRAZE IS AN EQUAL OPPORTUNITY EMPLOYER At Braze, we strive to create equitable growth and opportunities inside and outside the organization. Building meaningful connections is at the heart of everything we do, and that includes our recruiting practices. We're committed to offering all candidates a fair, accessible, and inclusive experience - regardless of age, color, disability, gender identity, marital status, maternity, national origin, pregnancy, race, religion, sex, sexual orientation, or status as a protected veteran. When applying and interviewing with Braze, we want you to feel comfortable showcasing what makes you you. We know that sometimes different circumstances can lead talented people to hesitate to apply for a role unless they meet 100% of the criteria. If this sounds familiar, we encourage you to apply, as we'd love to meet you OUR AI-POWERED BRAZE RECRUITMENT PROCESS At Braze, we're committed to a fair and transparent candidate experience. To help our recruitment teams focus on what matters most - the person behind each application - we use AI-assisted tools at certain stages of our recruitment process. This includes using AI to analyze the experience, skills and qualifications in your application materials to help with screening and prioritizing candidates. Such screening may amount to a form of solely automated decision-making. We also use AI for administrative support, like scheduling and recording interviews and summarizing interview notes. Our recruiting teams remain responsible for all hiring decisions and are involved throughout the process. . click apply for full job details
This job is with S&P Global, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About the Role: Grade Level (for internal use): 15 The Team: Enterprise Technology & Platforms delivers cross-enterprise technology products, services, and capabilities to S&P Global's organizations and employees worldwide. The Developer Experience and Product Enablement function will own and evolve the enterprise product and software development lifecycle toolchain - the agentic PDLC - bringing together platforms, governance, support, productivity insights, and AI-native product management and engineering capabilities. It spans the full path from discovery and customer insight through definition, design, build, release, and in-market measurement, treating product management and engineering as one connected system rather than two adjacent toolsets. The team will operate as an enterprise hub, partnering closely with divisional CTO and product organizations and embedded practitioners to preserve business context while creating a consistent, scalable experience for both builders and the product leaders who direct them. Responsibilities and Impact: Approximately 10,000 developers across S&P Global build software on a common toolchain, and the product managers, designers, and analysts who decide what gets built work alongside them on a second, largely disconnected one. This role owns both and joins them. That toolchain is critical infrastructure for product discovery, software delivery, engineering productivity, security, resilience, and AI-native development. The role will reduce fragmentation and duplication, close the handoff gaps between product intent and shipped software, strengthen governance and support, and make developer and product experience a measurable strategic capability. Set the enterprise Developer Experience and Product Enablement strategy, product vision, roadmap, operating model, and investment priorities in partnership with the CIO leadership team, divisional CTOs, divisional heads of product, and other senior technology and product leaders. Own the full lifecycle of enterprise software development platforms and tools, including source code management, code collaboration, CI/CD, build engineering, developer environments, code quality and scanning, cloud development infrastructure, and related integrations. Own the full lifecycle of enterprise product management platforms and tools, including customer and market research repositories, idea intake and opportunity assessment, roadmapping and portfolio planning, requirements and specification authoring, design and prototyping, work management and backlog tooling, experimentation and feature management, product analytics, and voice-of-customer and feedback aggregation. Connect the two halves into a single agentic PDLC, establishing the traceable thread from customer insight to opportunity, specification, design, commit, release, and in-market outcome, so that product intent, engineering work, and measured impact reconcile in one system of record rather than in status decks. Manage the toolchain as a coherent portfolio of enterprise products, with clear customer outcomes, service levels, adoption goals, cost transparency, platform health measures, and accountable product ownership. Build a trusted partnership model with divisional CTOs, heads of product, executive sponsors, and embedded divisional practitioners to align enterprise standards with business-specific product and engineering requirements. Lead the consolidation of fragmented tooling, resources, licenses, support processes, and automation across both the product and engineering estates, reducing duplication while managing transitions without disrupting delivery. Establish a scalable support and self-service ecosystem for developers and product teams, including developer and product portals, template and artifact libraries, knowledge management, onboarding, access and license management, AI-assisted triage, and expert escalation. Own advocacy and community across both disciplines, including communities of practice, technical and product evangelism, onboarding and enablement content, craft standards for specifications and discovery practice, change communications, and structured feedback loops that earn adoption rather than mandate it. Own the innersource ecosystem, applying open-source working practice to proprietary code so that shared libraries, contribution standards, maintainer stewardship, and IP guardrails make reuse across divisions the default rather than the exception. Define and govern the enterprise approach to AI-native and agentic product development and software engineering, including approved tools, guardrails, model and data access, reusable agent workflows spanning research synthesis, specification drafting, prototype generation, code generation, and release readiness, platform integrations, experimentation, and responsible adoption. Create an enterprise measurement system for product and developer productivity and experience, including DORA metrics, cycle time from idea to release, adoption and utilization measures, tool ROI, practitioner sentiment, friction mapping, product outcome and experimentation results, and executive reporting. Build and lead a high-performing global organization across platform engineering, product management, product operations, design and research enablement, developer support, data and analytics, and forward-deployed AI engineering, with clear accountability and a strong talent strategy. Maintain strong operational rigor, security, resilience, financial management, vendor governance, and continuous improvement across the enterprise toolchain. Compensation/Benefits Information: S&P Global states that the anticipated base salary range for this position is $220,000 to $350,000. Final base salary for this role will be based on the individual's geographic location, as well as experience level, skill set, training, licenses and certifications. In addition to base compensation, this role is eligible for an annual incentive plan. This role is not eligible for additional compensation such as an annual incentive bonus or sales commission plan. This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here . What We're Looking For: Basic Required Qualifications: A proven enterprise technology leader who has previously built, transformed, and operated a large-scale Developer Experience, developer platform, DevSecOps, or software engineering enablement function. Minimum of 15 years of progressive technology leadership experience, including responsibility for globally scaled engineering platforms, products, or shared services. Has held enterprise decision rights over tooling used by teams outside their own reporting line, with examples of contested standardization decisions reached alongside divisional CTOs and the trade-offs accepted on risk, cost, and developer experience. Direct ownership of modern product and software development lifecycle platforms in production, including design, source control, CI/CD, building systems, artifact management, developer environments, cloud development infrastructure, application security tooling, and platform integrations. Has owned a platform product roadmap with developers as the customer, including at least one decision to retire or deprioritize a tool that still had an installed user base. Has consolidated overlapping toolchains across multiple business units, and can speak to what was retired, what was recovered in licenses and effort, and how migrations were sequenced without interrupting delivery. Has rolled out AI-assisted development tooling to a developer population at scale, with measured adoption to show for it and defensible answers on guardrails, intellectual property, and model access. Has hired, built, and led a globally distributed organization spanning platform engineering, product management, developer support, and analytics. Excellent executive communication and stakeholder management skills, including the ability to translate technical complexity into clear business decisions, trade-offs, and measurable outcomes. Undergraduate degree required; advanced degree or equivalent relevant experience preferred. Additional Preferred Qualifications: Experience operating developer platforms in a highly regulated, security-conscious, or financial services environment. Experience designing hub-and-spoke operating models that combine enterprise platform ownership with embedded divisional engineering expertise. Has stood up a developer productivity measurement program - DORA metrics, developer sentiment research, adoption and cost data - and used its findings to change a roadmap or investment decision. Experience with enterprise platforms and integrations such as GitHub, Jira, Azure DevOps, Figma, Playwright, CI/CD systems, artifact repositories, developer portals, and API or model context protocol integration layers. Track record of using automation, self-service, data, and AI to improve developer experience and scale support without compromising quality or control. Actively maintains an external view of engineering platform and AI-assisted development practice - through vendor and peer networks, industry forums, or open-source and community participation. . click apply for full job details
11/13/2026
Full time
This job is with S&P Global, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About the Role: Grade Level (for internal use): 15 The Team: Enterprise Technology & Platforms delivers cross-enterprise technology products, services, and capabilities to S&P Global's organizations and employees worldwide. The Developer Experience and Product Enablement function will own and evolve the enterprise product and software development lifecycle toolchain - the agentic PDLC - bringing together platforms, governance, support, productivity insights, and AI-native product management and engineering capabilities. It spans the full path from discovery and customer insight through definition, design, build, release, and in-market measurement, treating product management and engineering as one connected system rather than two adjacent toolsets. The team will operate as an enterprise hub, partnering closely with divisional CTO and product organizations and embedded practitioners to preserve business context while creating a consistent, scalable experience for both builders and the product leaders who direct them. Responsibilities and Impact: Approximately 10,000 developers across S&P Global build software on a common toolchain, and the product managers, designers, and analysts who decide what gets built work alongside them on a second, largely disconnected one. This role owns both and joins them. That toolchain is critical infrastructure for product discovery, software delivery, engineering productivity, security, resilience, and AI-native development. The role will reduce fragmentation and duplication, close the handoff gaps between product intent and shipped software, strengthen governance and support, and make developer and product experience a measurable strategic capability. Set the enterprise Developer Experience and Product Enablement strategy, product vision, roadmap, operating model, and investment priorities in partnership with the CIO leadership team, divisional CTOs, divisional heads of product, and other senior technology and product leaders. Own the full lifecycle of enterprise software development platforms and tools, including source code management, code collaboration, CI/CD, build engineering, developer environments, code quality and scanning, cloud development infrastructure, and related integrations. Own the full lifecycle of enterprise product management platforms and tools, including customer and market research repositories, idea intake and opportunity assessment, roadmapping and portfolio planning, requirements and specification authoring, design and prototyping, work management and backlog tooling, experimentation and feature management, product analytics, and voice-of-customer and feedback aggregation. Connect the two halves into a single agentic PDLC, establishing the traceable thread from customer insight to opportunity, specification, design, commit, release, and in-market outcome, so that product intent, engineering work, and measured impact reconcile in one system of record rather than in status decks. Manage the toolchain as a coherent portfolio of enterprise products, with clear customer outcomes, service levels, adoption goals, cost transparency, platform health measures, and accountable product ownership. Build a trusted partnership model with divisional CTOs, heads of product, executive sponsors, and embedded divisional practitioners to align enterprise standards with business-specific product and engineering requirements. Lead the consolidation of fragmented tooling, resources, licenses, support processes, and automation across both the product and engineering estates, reducing duplication while managing transitions without disrupting delivery. Establish a scalable support and self-service ecosystem for developers and product teams, including developer and product portals, template and artifact libraries, knowledge management, onboarding, access and license management, AI-assisted triage, and expert escalation. Own advocacy and community across both disciplines, including communities of practice, technical and product evangelism, onboarding and enablement content, craft standards for specifications and discovery practice, change communications, and structured feedback loops that earn adoption rather than mandate it. Own the innersource ecosystem, applying open-source working practice to proprietary code so that shared libraries, contribution standards, maintainer stewardship, and IP guardrails make reuse across divisions the default rather than the exception. Define and govern the enterprise approach to AI-native and agentic product development and software engineering, including approved tools, guardrails, model and data access, reusable agent workflows spanning research synthesis, specification drafting, prototype generation, code generation, and release readiness, platform integrations, experimentation, and responsible adoption. Create an enterprise measurement system for product and developer productivity and experience, including DORA metrics, cycle time from idea to release, adoption and utilization measures, tool ROI, practitioner sentiment, friction mapping, product outcome and experimentation results, and executive reporting. Build and lead a high-performing global organization across platform engineering, product management, product operations, design and research enablement, developer support, data and analytics, and forward-deployed AI engineering, with clear accountability and a strong talent strategy. Maintain strong operational rigor, security, resilience, financial management, vendor governance, and continuous improvement across the enterprise toolchain. Compensation/Benefits Information: S&P Global states that the anticipated base salary range for this position is $220,000 to $350,000. Final base salary for this role will be based on the individual's geographic location, as well as experience level, skill set, training, licenses and certifications. In addition to base compensation, this role is eligible for an annual incentive plan. This role is not eligible for additional compensation such as an annual incentive bonus or sales commission plan. This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here . What We're Looking For: Basic Required Qualifications: A proven enterprise technology leader who has previously built, transformed, and operated a large-scale Developer Experience, developer platform, DevSecOps, or software engineering enablement function. Minimum of 15 years of progressive technology leadership experience, including responsibility for globally scaled engineering platforms, products, or shared services. Has held enterprise decision rights over tooling used by teams outside their own reporting line, with examples of contested standardization decisions reached alongside divisional CTOs and the trade-offs accepted on risk, cost, and developer experience. Direct ownership of modern product and software development lifecycle platforms in production, including design, source control, CI/CD, building systems, artifact management, developer environments, cloud development infrastructure, application security tooling, and platform integrations. Has owned a platform product roadmap with developers as the customer, including at least one decision to retire or deprioritize a tool that still had an installed user base. Has consolidated overlapping toolchains across multiple business units, and can speak to what was retired, what was recovered in licenses and effort, and how migrations were sequenced without interrupting delivery. Has rolled out AI-assisted development tooling to a developer population at scale, with measured adoption to show for it and defensible answers on guardrails, intellectual property, and model access. Has hired, built, and led a globally distributed organization spanning platform engineering, product management, developer support, and analytics. Excellent executive communication and stakeholder management skills, including the ability to translate technical complexity into clear business decisions, trade-offs, and measurable outcomes. Undergraduate degree required; advanced degree or equivalent relevant experience preferred. Additional Preferred Qualifications: Experience operating developer platforms in a highly regulated, security-conscious, or financial services environment. Experience designing hub-and-spoke operating models that combine enterprise platform ownership with embedded divisional engineering expertise. Has stood up a developer productivity measurement program - DORA metrics, developer sentiment research, adoption and cost data - and used its findings to change a roadmap or investment decision. Experience with enterprise platforms and integrations such as GitHub, Jira, Azure DevOps, Figma, Playwright, CI/CD systems, artifact repositories, developer portals, and API or model context protocol integration layers. Track record of using automation, self-service, data, and AI to improve developer experience and scale support without compromising quality or control. Actively maintains an external view of engineering platform and AI-assisted development practice - through vendor and peer networks, industry forums, or open-source and community participation. . click apply for full job details
Job Description Job Description Belay Technologies has been voted Baltimore Business Journal's (BBJ) Best Places to Work 2026! Belay Technologies is seeking a Software Engineer to join our intel team. AIMASSIST brings AI into the operations organization, embedding engineers with the operators, analysts, and developers who carry out the CNO mission. Our engineers learn how those teams work, find the tasks that consume their time, and build AI agents and tools that let them move faster without giving up accuracy or control. We build on both frontier models and on-premises open-weight models, served through the customer's enterprise AI platform, and turn them into mission capabilities such as agents that triage incoming data, automate repetitive tradecraft, or research across disparate sources on an analyst's behalf. We are now introducing autonomous agents the mission can trust: agents that take real actions within guardrails, are measured against evaluations built with the people who use them, and log every step so a reviewer can follow what they did. As an Applied AI Engineer, you will join a forward-deployed team that works directly with a mission customer, building and improving the agents, Skills, and tools they use every day. You will work under the guidance of senior engineers, learn CNO tradecraft from the operators and analysts you support, and see the results of your work firsthand. This role suits an engineer with a solid software foundation who wants to grow quickly in applied AI. Responsibilities: Develop and test components of agentic AI solutions in Python, including MCP servers, Skills, and integrations with mission data sources and tools Participate in requirements discussions with operators and analysts, and learn their workflows and tradecraft Build scripts and tools that convert, normalize, and extract information from customer data Write test cases and evaluation examples that check whether AI capabilities return correct and reliable results Use AI coding agents in daily development, and understand and review generated code before committing it Collaborate with other engineers to test workflows, identify issues, and recommend fixes Create documentation and user guides that help mission users adopt new AI tools Candidates should have the following qualifications: TS/SCI Clearance with polygraph 3 yrs., B.S. in a technical discipline or 4 additional yrs. in place of B.S. Candidates are required to have the following skills: Proficiency in Python, including working with JSON, REST APIs, and data manipulation Understanding of software engineering fundamentals, including version control (Git), testing, and debugging Familiarity with LLM concepts such as prompt engineering, structured outputs, and tool/function calling Experience using AI coding assistants (e.g., Claude Code, Copilot) to write, debug, or test code Familiarity with Linux environments and the command line Strong communication skills and willingness to learn from senior engineers and mission subject matter experts Candidates are desired to have the following skills: Experience building agentic workflows, MCP servers, or Skills Experience with Docker, Kubernetes, or GitLab CI/CD Experience with retrieval systems (RAG, vector databases, Elasticsearch) Experience building web interfaces with React or TypeScript Background in cybersecurity, or knowledge of CNO operations and SIGINT collection and analysis systems Perks and Benefits: 8 weeks paid leave - 4 weeks of personal leave, 3 Yay! days, take off on your birthday,11 paid holidays and optional leave up to 6 days through Belay's volunteer program 10% matching in 401(k) contributions vested on day one $5,000 annual training/tuition Student Loan Repayment Program 100% company-funded HSA Rich medical coverage (100% coinsurance) Dental coverage including orthodontia Up to $420,000 in life insurance, premiums 100% company funded Amazon Prime, gym reimbursement, monthly lunches, games and prizes Pet adoption program, generous referral bonus program, fun events, and more! At Belay, we are committed to creating an environment where you can thrive both professionally and personally. We believe in transparency and fairness in compensation. Several factors influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, education, specific skills and competencies and certifications. Belay offers a competitive total compensation package that includes benefits and perks, a flexible work-life balance, and career development. Salary Range: $70,000 to $190,000 Belay Technologies is a certified Service-Disabled Veteran-Owned Small Business located in Columbia, Maryland (Baltimore/Washington area). Belay Technologies specializes in systems automation and full stack development. Belay Technologies provides leading technology and engineering solutions to the DoD, as well as state-of-the-art commercial products. We hire software engineers, web designers, test engineers, systems engineers, systems administrators, database engineers and other tech services. We are an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law. Powered by JazzHR wpSqdvHAhW
11/12/2026
Full time
Job Description Job Description Belay Technologies has been voted Baltimore Business Journal's (BBJ) Best Places to Work 2026! Belay Technologies is seeking a Software Engineer to join our intel team. AIMASSIST brings AI into the operations organization, embedding engineers with the operators, analysts, and developers who carry out the CNO mission. Our engineers learn how those teams work, find the tasks that consume their time, and build AI agents and tools that let them move faster without giving up accuracy or control. We build on both frontier models and on-premises open-weight models, served through the customer's enterprise AI platform, and turn them into mission capabilities such as agents that triage incoming data, automate repetitive tradecraft, or research across disparate sources on an analyst's behalf. We are now introducing autonomous agents the mission can trust: agents that take real actions within guardrails, are measured against evaluations built with the people who use them, and log every step so a reviewer can follow what they did. As an Applied AI Engineer, you will join a forward-deployed team that works directly with a mission customer, building and improving the agents, Skills, and tools they use every day. You will work under the guidance of senior engineers, learn CNO tradecraft from the operators and analysts you support, and see the results of your work firsthand. This role suits an engineer with a solid software foundation who wants to grow quickly in applied AI. Responsibilities: Develop and test components of agentic AI solutions in Python, including MCP servers, Skills, and integrations with mission data sources and tools Participate in requirements discussions with operators and analysts, and learn their workflows and tradecraft Build scripts and tools that convert, normalize, and extract information from customer data Write test cases and evaluation examples that check whether AI capabilities return correct and reliable results Use AI coding agents in daily development, and understand and review generated code before committing it Collaborate with other engineers to test workflows, identify issues, and recommend fixes Create documentation and user guides that help mission users adopt new AI tools Candidates should have the following qualifications: TS/SCI Clearance with polygraph 3 yrs., B.S. in a technical discipline or 4 additional yrs. in place of B.S. Candidates are required to have the following skills: Proficiency in Python, including working with JSON, REST APIs, and data manipulation Understanding of software engineering fundamentals, including version control (Git), testing, and debugging Familiarity with LLM concepts such as prompt engineering, structured outputs, and tool/function calling Experience using AI coding assistants (e.g., Claude Code, Copilot) to write, debug, or test code Familiarity with Linux environments and the command line Strong communication skills and willingness to learn from senior engineers and mission subject matter experts Candidates are desired to have the following skills: Experience building agentic workflows, MCP servers, or Skills Experience with Docker, Kubernetes, or GitLab CI/CD Experience with retrieval systems (RAG, vector databases, Elasticsearch) Experience building web interfaces with React or TypeScript Background in cybersecurity, or knowledge of CNO operations and SIGINT collection and analysis systems Perks and Benefits: 8 weeks paid leave - 4 weeks of personal leave, 3 Yay! days, take off on your birthday,11 paid holidays and optional leave up to 6 days through Belay's volunteer program 10% matching in 401(k) contributions vested on day one $5,000 annual training/tuition Student Loan Repayment Program 100% company-funded HSA Rich medical coverage (100% coinsurance) Dental coverage including orthodontia Up to $420,000 in life insurance, premiums 100% company funded Amazon Prime, gym reimbursement, monthly lunches, games and prizes Pet adoption program, generous referral bonus program, fun events, and more! At Belay, we are committed to creating an environment where you can thrive both professionally and personally. We believe in transparency and fairness in compensation. Several factors influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, education, specific skills and competencies and certifications. Belay offers a competitive total compensation package that includes benefits and perks, a flexible work-life balance, and career development. Salary Range: $70,000 to $190,000 Belay Technologies is a certified Service-Disabled Veteran-Owned Small Business located in Columbia, Maryland (Baltimore/Washington area). Belay Technologies specializes in systems automation and full stack development. Belay Technologies provides leading technology and engineering solutions to the DoD, as well as state-of-the-art commercial products. We hire software engineers, web designers, test engineers, systems engineers, systems administrators, database engineers and other tech services. We are an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law. Powered by JazzHR wpSqdvHAhW
Job Description Job Description About the Company Our client is a Series A software company building the operating system for modern hardware manufacturers. Their platform helps companies running complex physical production, across aerospace, defense, energy, robotics, and advanced manufacturing, manage their factory operations end to end. They are growing quickly and scaling a forward-deployed engineering team that works hand in hand with customers on-site. The Role As a Forward Deployed Engineer, you will embed directly with customers to build tailor-made software on top of our client's platform for companies manufacturing some of the most advanced hardware in the world. It is a rare blend of deep engineering and direct customer impact, with real ownership over what you build and ship. What you'll be doing Deploy to customer sites to learn their operations and build custom software on the client's platform Own complex database work: schema design, SQL optimization, and data models that power real-time factory operations Write full-stack production code (React/TypeScript front end, Python back end, PostgreSQL) that flows back into the core product Act as the technical point person for customer engineering and operations teams Help deploy and showcase the client's new AI product across customer sites Tech stack: Python, React, TypeScript, PostgreSQL, SQL, AWS Requirements 3-5 years of full-stack software engineering experience with a clear back-end and database lean; front-end-heavy profiles are not the right fit Strong SQL with real depth in relational database design and data modeling: you can design complex schemas and optimize queries (this is assessed directly in the interview) Background in either enterprise or customer-deployed software (for example ERP, logistics, industrial, or deployment-heavy platforms) or engineering at a company with a physical manufacturing floor (aerospace, space, defense, or advanced hardware) A track record of shipping customer-facing production code as a software, forward-deployed, solutions, or product engineer A strong communicator who builds rapport quickly with customers Comfortable working with AI-native development workflows Must be a US citizen or green card holder, which is required for compliance on this role Nice to Haves Experience spanning both worlds: enterprise-deployment software and manufacturing-floor environments Prior forward-deployed, solutions, or embedded-with-customer engineering experience Comfort thriving in a fast-paced startup or small-company environment Why Join Build software that ships into some of the most ambitious manufacturing environments in the world End-to-end ownership on high-impact, customer-facing work rather than a support role Join a forward-deployed team early and help shape its playbook as it scales Competitive salary plus equity, with strong benefits (medical, dental, vision, 401K, parental leave, and more) Details Location: San Francisco, CA Work policy: Hybrid, 1-2 days in-office plus customer site visits in the SF area Compensation: $160K-$190K + equity Visa sponsorship: Not available; US citizen or green card holder required Employment type: Full-time
11/12/2026
Full time
Job Description Job Description About the Company Our client is a Series A software company building the operating system for modern hardware manufacturers. Their platform helps companies running complex physical production, across aerospace, defense, energy, robotics, and advanced manufacturing, manage their factory operations end to end. They are growing quickly and scaling a forward-deployed engineering team that works hand in hand with customers on-site. The Role As a Forward Deployed Engineer, you will embed directly with customers to build tailor-made software on top of our client's platform for companies manufacturing some of the most advanced hardware in the world. It is a rare blend of deep engineering and direct customer impact, with real ownership over what you build and ship. What you'll be doing Deploy to customer sites to learn their operations and build custom software on the client's platform Own complex database work: schema design, SQL optimization, and data models that power real-time factory operations Write full-stack production code (React/TypeScript front end, Python back end, PostgreSQL) that flows back into the core product Act as the technical point person for customer engineering and operations teams Help deploy and showcase the client's new AI product across customer sites Tech stack: Python, React, TypeScript, PostgreSQL, SQL, AWS Requirements 3-5 years of full-stack software engineering experience with a clear back-end and database lean; front-end-heavy profiles are not the right fit Strong SQL with real depth in relational database design and data modeling: you can design complex schemas and optimize queries (this is assessed directly in the interview) Background in either enterprise or customer-deployed software (for example ERP, logistics, industrial, or deployment-heavy platforms) or engineering at a company with a physical manufacturing floor (aerospace, space, defense, or advanced hardware) A track record of shipping customer-facing production code as a software, forward-deployed, solutions, or product engineer A strong communicator who builds rapport quickly with customers Comfortable working with AI-native development workflows Must be a US citizen or green card holder, which is required for compliance on this role Nice to Haves Experience spanning both worlds: enterprise-deployment software and manufacturing-floor environments Prior forward-deployed, solutions, or embedded-with-customer engineering experience Comfort thriving in a fast-paced startup or small-company environment Why Join Build software that ships into some of the most ambitious manufacturing environments in the world End-to-end ownership on high-impact, customer-facing work rather than a support role Join a forward-deployed team early and help shape its playbook as it scales Competitive salary plus equity, with strong benefits (medical, dental, vision, 401K, parental leave, and more) Details Location: San Francisco, CA Work policy: Hybrid, 1-2 days in-office plus customer site visits in the SF area Compensation: $160K-$190K + equity Visa sponsorship: Not available; US citizen or green card holder required Employment type: Full-time
What you will do We are seeking a Manufacturing IT Platform Engineer with 5 or more years of traditional software development hands-on experience using AI-assisted development tools (e.g., Claude.ai, ChatGPT, GitHub Copilot). This role builds standardized and reusable manufacturing solutions, including integrations, manufacturing data platforms, that can be deployed and supported across plants using Kubernetes and containers. This role is ideal for an engineer who wants to build real systems used in the manufacturing, leverage AI tools to accelerate development, and grow into a strong manufacturing platform contributor. How you will do it Design and develop services supporting manufacturing use cases such as production events, quality data, and traceability. Build manufacturing data pipelines and APIs for real-time and near real time shop-floor data. Develop and maintain edge-deployed applications that interface with plant systems. Use AI development tools (Claude.ai, Copilot studio) for: Code generation and refactoring Test creation and debugging Documentation and design acceleration Containerize applications using Docker and deploy using Kubernetes (on prem or edge environments). Support plant systems. Collaborate with senior engineers and architects to improve reliability, scalability, and usability of the manufacturing platform. What we look for Required 5 or more years of traditional software development experience in Manufacturing. 1 or more years of experience using AI tools for software development. Strong coding skills in Python, Java, Node.js, or .NET. Experience building and consuming REST APIs and data services. Hands-on experience with Docker containers. Working knowledge of Kubernetes concepts (pods, deployments, services). Basic understanding of manufacturing or industrial systems. Preferred Exposure to MoM/MES, SCADA, Historian, or IoT systems. Experience with event-driven or streaming architectures (e.g., MQTT, pub/sub concepts). Any experience deploying applications to edge or on-prem environments. Familiarity with CI/CD pipelines and DevOps practices. Experience with manufacturing and shop-floor systems. Comfortable combining traditional engineering skills with AI-assisted development. Product-oriented mindset-focused on reusable, scalable solutions. Willingness to support plant users and learn from operational feedback. Meadowbrook - Lithium Ion Our Meadowbrook, Michigan plant produces lithium-ion batteries and runs a research lab. We began operations in 2010 and now employ more than 110 people and operate six days per week. We're mindful of the profound impact we have on our planet and are proud to operate in a LEED Gold Certified facility. Our employees are actively involved in the community and volunteer for a variety of local organizations. What you get: Medical, dental and vision care coverage and a 401(k) savings plan with company matching - all starting on date of hire Tuition reimbursement, perks, and discounts Parental and caregiver leave programs All the usual benefits such as paid time off, flexible spending, short-and long-term disability, basic life insurance, business travel insurance, and Employee Assistance Program Global market strength and worldwide market share leadership HQ location earns LEED certification for sustainability plus a full-service cafeteria and workout facility Clarios has been recognized as one of 2026's Most Ethical Companies by Ethisphere. This prestigious recognition marks the fourth consecutive year Clarios has received this distinction. Who we are: Clarios is the force behind the world's most recognizable car battery brands, powering vehicles from leading automakers like Ford, General Motors, Toyota, Honda, and Nissan. With 18,000 employees worldwide, we develop, manufacture, and distribute energy storage solutions while recovering, recycling, and reusing up to 99% of battery materials-setting the standard for sustainability in our industry. At Clarios, we're not just making batteries; we're shaping the future of sustainable transportation. Join our mission to innovate, push boundaries, and make a real impact. Discover your potential at Clarios-where your power meets endless possibilities. Veterans/Military Spouses: We value the leadership, adaptability, and technical expertise developed through military service. At Clarios, those capabilities thrive in an environment built on grit, ingenuity, and passion-where you can grow your career while helping to power progress worldwide. All qualified applicants will be considered without regard to protected characteristics. Equal Employment Opportunity: We recognize that people come with a wealth of experience and talent beyond just the technical requirements of a job. If your experience is close to what you see listed here, please apply. Diversity of experience and skills combined with passion is key to challenging the status quo. Therefore, we encourage people from all backgrounds to apply to our positions. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, status as a protected veteran or other protected characteristics protected by law. As a federal contractor, we are committed to not discriminating against any applicant or employee based on these protected statuses. We will also take affirmative action to ensure equal employment opportunities. Please let us know if you require accommodations during the interview process by emailing . We are an Equal Opportunity Employer and value diversity in our teams in terms of work experience, area of expertise, and all characteristics protected by laws in the countries where we operate. For more information on our commitment to sustainability, diversity, and equal opportunity, please read our latest report . We want you to know your rights because EEO is the law. A Note to Job Applicants: please be aware of scams being perpetrated through the Internet and social media platforms. Clarios will never require a job applicant to pay money as part of the application or hiring process. To All Recruitment Agencies: Clarios does not accept unsolicited agency resumes/CVs. Please do not forward resumes/CVs to our careers email addresses, Clarios employees or any other company location. Clarios is not responsible for any fees related to unsolicited resumes/CVs.
10/02/2026
Full time
What you will do We are seeking a Manufacturing IT Platform Engineer with 5 or more years of traditional software development hands-on experience using AI-assisted development tools (e.g., Claude.ai, ChatGPT, GitHub Copilot). This role builds standardized and reusable manufacturing solutions, including integrations, manufacturing data platforms, that can be deployed and supported across plants using Kubernetes and containers. This role is ideal for an engineer who wants to build real systems used in the manufacturing, leverage AI tools to accelerate development, and grow into a strong manufacturing platform contributor. How you will do it Design and develop services supporting manufacturing use cases such as production events, quality data, and traceability. Build manufacturing data pipelines and APIs for real-time and near real time shop-floor data. Develop and maintain edge-deployed applications that interface with plant systems. Use AI development tools (Claude.ai, Copilot studio) for: Code generation and refactoring Test creation and debugging Documentation and design acceleration Containerize applications using Docker and deploy using Kubernetes (on prem or edge environments). Support plant systems. Collaborate with senior engineers and architects to improve reliability, scalability, and usability of the manufacturing platform. What we look for Required 5 or more years of traditional software development experience in Manufacturing. 1 or more years of experience using AI tools for software development. Strong coding skills in Python, Java, Node.js, or .NET. Experience building and consuming REST APIs and data services. Hands-on experience with Docker containers. Working knowledge of Kubernetes concepts (pods, deployments, services). Basic understanding of manufacturing or industrial systems. Preferred Exposure to MoM/MES, SCADA, Historian, or IoT systems. Experience with event-driven or streaming architectures (e.g., MQTT, pub/sub concepts). Any experience deploying applications to edge or on-prem environments. Familiarity with CI/CD pipelines and DevOps practices. Experience with manufacturing and shop-floor systems. Comfortable combining traditional engineering skills with AI-assisted development. Product-oriented mindset-focused on reusable, scalable solutions. Willingness to support plant users and learn from operational feedback. Meadowbrook - Lithium Ion Our Meadowbrook, Michigan plant produces lithium-ion batteries and runs a research lab. We began operations in 2010 and now employ more than 110 people and operate six days per week. We're mindful of the profound impact we have on our planet and are proud to operate in a LEED Gold Certified facility. Our employees are actively involved in the community and volunteer for a variety of local organizations. What you get: Medical, dental and vision care coverage and a 401(k) savings plan with company matching - all starting on date of hire Tuition reimbursement, perks, and discounts Parental and caregiver leave programs All the usual benefits such as paid time off, flexible spending, short-and long-term disability, basic life insurance, business travel insurance, and Employee Assistance Program Global market strength and worldwide market share leadership HQ location earns LEED certification for sustainability plus a full-service cafeteria and workout facility Clarios has been recognized as one of 2026's Most Ethical Companies by Ethisphere. This prestigious recognition marks the fourth consecutive year Clarios has received this distinction. Who we are: Clarios is the force behind the world's most recognizable car battery brands, powering vehicles from leading automakers like Ford, General Motors, Toyota, Honda, and Nissan. With 18,000 employees worldwide, we develop, manufacture, and distribute energy storage solutions while recovering, recycling, and reusing up to 99% of battery materials-setting the standard for sustainability in our industry. At Clarios, we're not just making batteries; we're shaping the future of sustainable transportation. Join our mission to innovate, push boundaries, and make a real impact. Discover your potential at Clarios-where your power meets endless possibilities. Veterans/Military Spouses: We value the leadership, adaptability, and technical expertise developed through military service. At Clarios, those capabilities thrive in an environment built on grit, ingenuity, and passion-where you can grow your career while helping to power progress worldwide. All qualified applicants will be considered without regard to protected characteristics. Equal Employment Opportunity: We recognize that people come with a wealth of experience and talent beyond just the technical requirements of a job. If your experience is close to what you see listed here, please apply. Diversity of experience and skills combined with passion is key to challenging the status quo. Therefore, we encourage people from all backgrounds to apply to our positions. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, status as a protected veteran or other protected characteristics protected by law. As a federal contractor, we are committed to not discriminating against any applicant or employee based on these protected statuses. We will also take affirmative action to ensure equal employment opportunities. Please let us know if you require accommodations during the interview process by emailing . We are an Equal Opportunity Employer and value diversity in our teams in terms of work experience, area of expertise, and all characteristics protected by laws in the countries where we operate. For more information on our commitment to sustainability, diversity, and equal opportunity, please read our latest report . We want you to know your rights because EEO is the law. A Note to Job Applicants: please be aware of scams being perpetrated through the Internet and social media platforms. Clarios will never require a job applicant to pay money as part of the application or hiring process. To All Recruitment Agencies: Clarios does not accept unsolicited agency resumes/CVs. Please do not forward resumes/CVs to our careers email addresses, Clarios employees or any other company location. Clarios is not responsible for any fees related to unsolicited resumes/CVs.
Job Description Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: Shield AI builds intelligent systems that protect service members and civilians. Our products include Hivemind autonomy software and V-BAT and X-BAT aircraft, and our teams support customers and operations across the United States, Europe, the Middle East, and Asia-Pacific. The Forward Deployed Engineer, Operations & Sustainment is a highly technical, customer-facing role focused on deploying, supporting, and sustaining Hivemind products in real operating environments. This role bridges field deployment, customer operations, technical troubleshooting, training, and sustainment. This is a travel-intensive role. Candidates must be willing and able to travel at least 50% of the time, including frequent domestic and international trips, customer-site work, test events, training events, and multi-week deployments as program needs require. In this role, you will work directly with customers and internal teams to install, configure, validate, train, troubleshoot, and support Hivemind products. The role requires strong technical judgment, clear customer communication, comfort operating under field pressure, and the discipline to turn field lessons into durable support artifacts: runbooks, supported baselines, evidence packages, known-issue records, escalation paths, customer-safe updates, and product feedback. What you'll do: Deploy with customers on site globally, with a minimum expectation of 50% travel, to support installation, configuration, validation, training, troubleshooting, and sustainment of Hivemind products. Become an expert user of the Hivemind Enterprise software stack, autonomy modules, deployment tooling, supported configurations, and diagnostic workflows. Execute and improve deployment runbooks covering software install, version/configuration validation, licensing or provisioning status, pre-mission checks, log readiness, and acceptance steps. Provide hands-on technical support to customer operators, maintainers, partners, and internal field teams during deployment, test, training, demonstration, and sustainment windows. Capture and organize field evidence for triage, including logs, telemetry, recorded data, screenshots, version/configuration state, asset context, operator notes, mission phase, and environmental constraints. Drive issues through the support flow: intake, severity assessment, ownership, workaround or fix delivery, customer-safe status, closure, and learning loop. Convert recurring field issues, workarounds, customer questions, and training gaps into support tickets, knowledge-base content, known-issue records, runbooks, and product feedback. Partner with engineering, product, program, sustainment, licensing, safety, legal, commercial, and support teams to route issues to the right owner for seamless customer support.Support root-cause investigation and corrective-action validation by reproducing issues, collecting field context, testing updates, and confirming fixes or workarounds. Support Field Service Representative-style obligations when required by contract, including on-site support posture, issue intake, operator assistance, troubleshooting, documentation, escalation, and evidence capture. Projects you might work on: Deploying Hivemind software and autonomy capabilities during customer integration events, exercises, test campaigns, demonstrations, or operational support windows. Building deployment-to-sustainment handoff packages with supported baselines, configuration checklists, evidence checklists, known issues, escalation contacts, and training material. Standing up a repeatable support flow so field issues move from informal chats and ad hoc engineering asks into a durable support hub, severity model, owner route, and closure loop. Troubleshooting field behavior across software, autonomy, networking, telemetry, configuration, sensors, operator workflows, and customer environment constraints. Creating customer-safe documentation that helps operators and maintainers self-serve routine issues while preserving the right escalation path for mission-critical problems. Required qualifications: Bachelor's degree in Engineering, Computer Science, Robotics, Aerospace, or a related technical field, or equivalent practical experience. 5+ years of experience in field engineering, forward-deployed engineering, applications engineering, systems integration, flight test, robotics support, unmanned systems operations, technical operations, customer deployment, or a similar hands-on technical role. Strong technical background in software engineering, systems integration, or autonomy-adjacent systems. Proficiency writing, reading, and debugging modern C++ code. Working proficiency with Python, Bash, or similar scripting for diagnostics, automation, data handling, and field support workflows. Strong troubleshooting skills across Linux or embedded systems, networking, configuration management, logs, telemetry, release packages, sensors or payloads, and operator workflows. Excellent problem-solving, communication, training, expectation-management, and escalation skills in customer-facing environments. Ability to write clear field notes, deployment records, troubleshooting guides, evidence packages, and support updates that engineering and support teams can act on. Willingness and ability to travel at least 50% of the time, including frequent domestic and international travel and multi-week deployments. Ability to operate professionally in lab, flight-test, range, customer-site, and field environments under time pressure. Ability to comply with export-control, security, safety, sensitive-data, customer-site, and mission-specific operating requirements. Preferred qualifications: Experience with autonomy, robotics, defense aviation, unmanned aircraft, deployed defense systems, flight test, payload integration, sensors, operator systems, or edge compute environments. Experience supporting defense, government, allied, or international customers in operational, test, training, or overseas environments. Experience building or scaling a support, field-service, customer-success, sustainment, or applications-engineering function during an early product rollout. Experience with enterprise software deployment, customer support, licensing, provisioning, release management, configuration baselines, or offline/air-gapped operating environments. Hands-on experience with recorded-data analysis, diagnostic tooling, telemetry review, networking tools, system health checks, or support automation. FAA Part 107, military aviation or maintenance background, UAS operator experience, flight-test experience, systems engineering experience, or prior Field Service Representative experience. Experience using GenAI tools to accelerate troubleshooting, documentation, knowledge capture, data review, or support workflow automation. Active or prior security clearance, or eligibility to obtain one when required by program or customer need. Senior Engineer: $152000-$228,000 Staff Engineer: $181,000-$272,000 Senior Staff Engineer: $212,000-$318,000 Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
09/29/2026
Full time
Job Description Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: Shield AI builds intelligent systems that protect service members and civilians. Our products include Hivemind autonomy software and V-BAT and X-BAT aircraft, and our teams support customers and operations across the United States, Europe, the Middle East, and Asia-Pacific. The Forward Deployed Engineer, Operations & Sustainment is a highly technical, customer-facing role focused on deploying, supporting, and sustaining Hivemind products in real operating environments. This role bridges field deployment, customer operations, technical troubleshooting, training, and sustainment. This is a travel-intensive role. Candidates must be willing and able to travel at least 50% of the time, including frequent domestic and international trips, customer-site work, test events, training events, and multi-week deployments as program needs require. In this role, you will work directly with customers and internal teams to install, configure, validate, train, troubleshoot, and support Hivemind products. The role requires strong technical judgment, clear customer communication, comfort operating under field pressure, and the discipline to turn field lessons into durable support artifacts: runbooks, supported baselines, evidence packages, known-issue records, escalation paths, customer-safe updates, and product feedback. What you'll do: Deploy with customers on site globally, with a minimum expectation of 50% travel, to support installation, configuration, validation, training, troubleshooting, and sustainment of Hivemind products. Become an expert user of the Hivemind Enterprise software stack, autonomy modules, deployment tooling, supported configurations, and diagnostic workflows. Execute and improve deployment runbooks covering software install, version/configuration validation, licensing or provisioning status, pre-mission checks, log readiness, and acceptance steps. Provide hands-on technical support to customer operators, maintainers, partners, and internal field teams during deployment, test, training, demonstration, and sustainment windows. Capture and organize field evidence for triage, including logs, telemetry, recorded data, screenshots, version/configuration state, asset context, operator notes, mission phase, and environmental constraints. Drive issues through the support flow: intake, severity assessment, ownership, workaround or fix delivery, customer-safe status, closure, and learning loop. Convert recurring field issues, workarounds, customer questions, and training gaps into support tickets, knowledge-base content, known-issue records, runbooks, and product feedback. Partner with engineering, product, program, sustainment, licensing, safety, legal, commercial, and support teams to route issues to the right owner for seamless customer support.Support root-cause investigation and corrective-action validation by reproducing issues, collecting field context, testing updates, and confirming fixes or workarounds. Support Field Service Representative-style obligations when required by contract, including on-site support posture, issue intake, operator assistance, troubleshooting, documentation, escalation, and evidence capture. Projects you might work on: Deploying Hivemind software and autonomy capabilities during customer integration events, exercises, test campaigns, demonstrations, or operational support windows. Building deployment-to-sustainment handoff packages with supported baselines, configuration checklists, evidence checklists, known issues, escalation contacts, and training material. Standing up a repeatable support flow so field issues move from informal chats and ad hoc engineering asks into a durable support hub, severity model, owner route, and closure loop. Troubleshooting field behavior across software, autonomy, networking, telemetry, configuration, sensors, operator workflows, and customer environment constraints. Creating customer-safe documentation that helps operators and maintainers self-serve routine issues while preserving the right escalation path for mission-critical problems. Required qualifications: Bachelor's degree in Engineering, Computer Science, Robotics, Aerospace, or a related technical field, or equivalent practical experience. 5+ years of experience in field engineering, forward-deployed engineering, applications engineering, systems integration, flight test, robotics support, unmanned systems operations, technical operations, customer deployment, or a similar hands-on technical role. Strong technical background in software engineering, systems integration, or autonomy-adjacent systems. Proficiency writing, reading, and debugging modern C++ code. Working proficiency with Python, Bash, or similar scripting for diagnostics, automation, data handling, and field support workflows. Strong troubleshooting skills across Linux or embedded systems, networking, configuration management, logs, telemetry, release packages, sensors or payloads, and operator workflows. Excellent problem-solving, communication, training, expectation-management, and escalation skills in customer-facing environments. Ability to write clear field notes, deployment records, troubleshooting guides, evidence packages, and support updates that engineering and support teams can act on. Willingness and ability to travel at least 50% of the time, including frequent domestic and international travel and multi-week deployments. Ability to operate professionally in lab, flight-test, range, customer-site, and field environments under time pressure. Ability to comply with export-control, security, safety, sensitive-data, customer-site, and mission-specific operating requirements. Preferred qualifications: Experience with autonomy, robotics, defense aviation, unmanned aircraft, deployed defense systems, flight test, payload integration, sensors, operator systems, or edge compute environments. Experience supporting defense, government, allied, or international customers in operational, test, training, or overseas environments. Experience building or scaling a support, field-service, customer-success, sustainment, or applications-engineering function during an early product rollout. Experience with enterprise software deployment, customer support, licensing, provisioning, release management, configuration baselines, or offline/air-gapped operating environments. Hands-on experience with recorded-data analysis, diagnostic tooling, telemetry review, networking tools, system health checks, or support automation. FAA Part 107, military aviation or maintenance background, UAS operator experience, flight-test experience, systems engineering experience, or prior Field Service Representative experience. Experience using GenAI tools to accelerate troubleshooting, documentation, knowledge capture, data review, or support workflow automation. Active or prior security clearance, or eligibility to obtain one when required by program or customer need. Senior Engineer: $152000-$228,000 Staff Engineer: $181,000-$272,000 Senior Staff Engineer: $212,000-$318,000 Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Job Description Job Description About Zipline Zipline is the world's largest and most experienced drone delivery service. We are on a mission to serve all humans equally by ensuring access to food, medicine and essential goods anytime, anywhere. We design, build, and operate the world's largest autonomous logistics system, delivering critical supplies quickly and reliably. Today, Zipline operates on four continents, makes a delivery somewhere in the world every 30 seconds, and has completed millions of deliveries to date, including blood, vaccines, medical supplies, food, and retail products. Our customers include the world's largest and most prominent healthcare systems, governments, retailers, restaurants and global businesses who rely on us to save lives, reduce emissions, increase economic opportunity, and provide delivery from point A to point B as fast as possible. The drone is only 15% of what we've built to enable seamless, reliable, global operations. Our system strengthens supply chains, reduces congestion, and gives people time back. With more than 140 million commercial autonomous miles safely flown, Zipline is redefining access to healthcare, consumer products, and food across the globe. We operate at a global scale and are looking for practical problem solvers who thrive on real-world challenges and rapid growth. Our team is motivated by building systems that have a direct, meaningful impact on people's lives and by scaling the future of logistics. We are seeking people who sculpt from first principles, enjoy facing adversity, and can do the impossible at record breaking speeds. About You & the Role Zipline is looking for Forward Deployed AI Engineers who will be at the forefront of bringing GenAI into one of the most complex real-world logistics systems in the world. We operate across software, hardware, aviation, robotics, healthcare, commerce, and field operations, which means the work is practical, high-stakes, and directly tied to production outcomes. This role is similar to being a hands-on AI startup CTO inside Zipline: you report directly to the Head of Operations, work in a small team, own delivery of important projects, move quickly from problem discovery to shipped product, and partner directly with users. The impact will come less from demos and more from systems that are adopted, trusted, and used in daily operations. What You'll Do Forward Deployed AI Engineers work directly with Zipline teams to own GenAI strategy and implementation for high-impact operational workflows and teams. On a daily basis, you will build end-to-end AI tools, take them to production, and solve real-world problems across aviation, logistics, fulfillment, maintenance, customer operations, and commercial teams. You will work closely with operators, engineers, product teams, and business leaders to understand user needs, define the right technical approach, and implement solutions that improve how Zipline runs. You will also bring learnings from the field back into Zipline's broader AI tooling, platforms, and best practices. What You'll Bring We value past experience building things that work. We do not need specific degrees; we need results. Make sure your resume highlights what you have built, shipped, automated, scaled, or made real. It matters less where, when, or for whom you built it; what matters is that it was useful, ambitious, technically strong, and cool. We value an engineering mindset focused on delivering production AI systems, not academic benchmarks. You should have experience building with LLMs, data processing pipelines, and analytics tools, and you should be comfortable decomposing messy business problems into reliable technical workflows. We require past experience building GenAI solutions, a strong understanding of the AI landscape, and a solid foundation in machine learning basics such as evaluation, training concepts, and problem decomposition. You should be a strong coder, with proficiency in Python, TypeScript/JavaScript, Java, C++, or similar languages. You should be comfortable collaborating with technical and non-technical teammates, working in dynamic environments, and iterating directly with users. Ability and interest in traveling to Zipline sites as needed is helpful up to 50% depending on the organization you'll be deployed into. WHAT ELSE YOU NEED TO KNOW This will be an in-office role based out of our South San Francisco HQ. Must be able to travel up to 50% of the time either to our HQ or into the Field. The starting cash range for this role is $112,500 - $300,000 ; please note that this is a target, starting cash range for a candidate who meets the minimum qualifications for this role. We are always open to negotiation. The final cash pay for this role will depend on a variety of factors, including a specific candidate's experience, qualifications, skills, working location, and projected impact. The total compensation package for this role may also include: equity compensation; overtime pay; discretionary annual or performance bonuses; sales incentives; benefits such as medical, dental and vision insurance; paid time off; and more. Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws or our own sensibilities. We value diversity at Zipline and welcome applications from those who are traditionally underrepresented in tech. If you like the sound of this position but are not sure if you are the perfect fit, please apply! Voluntary Self-Identification For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file. As set forth in Zipline 's Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.
09/29/2026
Full time
Job Description Job Description About Zipline Zipline is the world's largest and most experienced drone delivery service. We are on a mission to serve all humans equally by ensuring access to food, medicine and essential goods anytime, anywhere. We design, build, and operate the world's largest autonomous logistics system, delivering critical supplies quickly and reliably. Today, Zipline operates on four continents, makes a delivery somewhere in the world every 30 seconds, and has completed millions of deliveries to date, including blood, vaccines, medical supplies, food, and retail products. Our customers include the world's largest and most prominent healthcare systems, governments, retailers, restaurants and global businesses who rely on us to save lives, reduce emissions, increase economic opportunity, and provide delivery from point A to point B as fast as possible. The drone is only 15% of what we've built to enable seamless, reliable, global operations. Our system strengthens supply chains, reduces congestion, and gives people time back. With more than 140 million commercial autonomous miles safely flown, Zipline is redefining access to healthcare, consumer products, and food across the globe. We operate at a global scale and are looking for practical problem solvers who thrive on real-world challenges and rapid growth. Our team is motivated by building systems that have a direct, meaningful impact on people's lives and by scaling the future of logistics. We are seeking people who sculpt from first principles, enjoy facing adversity, and can do the impossible at record breaking speeds. About You & the Role Zipline is looking for Forward Deployed AI Engineers who will be at the forefront of bringing GenAI into one of the most complex real-world logistics systems in the world. We operate across software, hardware, aviation, robotics, healthcare, commerce, and field operations, which means the work is practical, high-stakes, and directly tied to production outcomes. This role is similar to being a hands-on AI startup CTO inside Zipline: you report directly to the Head of Operations, work in a small team, own delivery of important projects, move quickly from problem discovery to shipped product, and partner directly with users. The impact will come less from demos and more from systems that are adopted, trusted, and used in daily operations. What You'll Do Forward Deployed AI Engineers work directly with Zipline teams to own GenAI strategy and implementation for high-impact operational workflows and teams. On a daily basis, you will build end-to-end AI tools, take them to production, and solve real-world problems across aviation, logistics, fulfillment, maintenance, customer operations, and commercial teams. You will work closely with operators, engineers, product teams, and business leaders to understand user needs, define the right technical approach, and implement solutions that improve how Zipline runs. You will also bring learnings from the field back into Zipline's broader AI tooling, platforms, and best practices. What You'll Bring We value past experience building things that work. We do not need specific degrees; we need results. Make sure your resume highlights what you have built, shipped, automated, scaled, or made real. It matters less where, when, or for whom you built it; what matters is that it was useful, ambitious, technically strong, and cool. We value an engineering mindset focused on delivering production AI systems, not academic benchmarks. You should have experience building with LLMs, data processing pipelines, and analytics tools, and you should be comfortable decomposing messy business problems into reliable technical workflows. We require past experience building GenAI solutions, a strong understanding of the AI landscape, and a solid foundation in machine learning basics such as evaluation, training concepts, and problem decomposition. You should be a strong coder, with proficiency in Python, TypeScript/JavaScript, Java, C++, or similar languages. You should be comfortable collaborating with technical and non-technical teammates, working in dynamic environments, and iterating directly with users. Ability and interest in traveling to Zipline sites as needed is helpful up to 50% depending on the organization you'll be deployed into. WHAT ELSE YOU NEED TO KNOW This will be an in-office role based out of our South San Francisco HQ. Must be able to travel up to 50% of the time either to our HQ or into the Field. The starting cash range for this role is $112,500 - $300,000 ; please note that this is a target, starting cash range for a candidate who meets the minimum qualifications for this role. We are always open to negotiation. The final cash pay for this role will depend on a variety of factors, including a specific candidate's experience, qualifications, skills, working location, and projected impact. The total compensation package for this role may also include: equity compensation; overtime pay; discretionary annual or performance bonuses; sales incentives; benefits such as medical, dental and vision insurance; paid time off; and more. Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws or our own sensibilities. We value diversity at Zipline and welcome applications from those who are traditionally underrepresented in tech. If you like the sound of this position but are not sure if you are the perfect fit, please apply! Voluntary Self-Identification For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file. As set forth in Zipline 's Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.
Job Description Job Description Company Description IFS is a billion-dollar revenue company with 7000+ employees on all continents. We deliver award-winning enterprise software solutions through the use of embedded digital innovation and a single cloud-based platform to help businesses be their best when it really matters-at the Moment of Service . At IFS, we're flexible, we're innovative, and we're focused not only on how we can engage with our customers, but on how we can make a real change and have a worldwide impact. We help solve some of society's greatest challenges, fostering a better future through our agility, collaboration, and trust. We celebrate diversity and accept that there are so many different perspectives in this world. As a truly international company serving people from around the globe, we realize that our success is tantamount to the respect we have for those different points of view. By joining our team, you will have the opportunity to be part of a global, diverse environment; you will be joining a winning team with a commitment to sustainability; and a company where we get things done so that you can make a positive impact on the world. We're looking for innovative and original thinkers to work in an environment where you can so that we can help others make theirs. If you want to change the status quo, we'll help you make your moment. Join Team Purple. Join IFS. Job Description Our Aerospace & Defense business helps the world's leading airlines, MROs, OEMs and defense operators keep complex fleets and platforms mission-ready - managing the full maintenance, asset and service lifecycle at scale. We are reimagining how that software is built and delivered around AI, and we are investing in engineers who can put AI to work both inside our products and in how we build them. You operate forward deployed - working shoulder-to-shoulder with A&D customers in their own environments - to ship AI-powered mobile capabilities that connect IFS to the systems that run their operations. This is a Principal-level role: you are the person others build toward, setting technical direction across product groups, carrying deep expertise in Applied AI and Forward Deployed Engineering, and taking end-to-end ownership with a you-build-it, you-run-it mindset - from design and development through testing, deployment and operational reliability in the field. What you'll do • Shape our next-generation mobility solution. Help define and deliver the next-generation mobile experience for aviation maintenance - a fast, reliable, field-ready product that engineers trust to do their most critical work, including where connectivity is constrained. • Build AI into the product. Design and ship AI-powered product capabilities - model integration, prompt engineering, retrieval-augmented generation (RAG), agentic architectures and the evaluation harnesses and MLOps that keep them reliable in production. You build AI systems, not just use them. • Use AI to build the product. Treat AI-assisted development and agentic tooling as core engineering capability. You raise the bar for how the team builds - measurably faster and better - and set the standard others adopt. • Deploy forward. Embed with Aerospace & Defense customers to deploy, integrate and harden solutions in their environment. You connect IFS to the systems that run their business - ERP, CRM, IoT, telemetry, and legacy and mission systems - and own the solution architecture in real customer context, under real-world constraints. • Own delivery end to end. Design, develop, test, deploy and operate across the full stack in modern general-purpose languages. You own quality through automated testing, manage delivery through CI/CD, and ensure operational reliability in cloud, edge and mobile environments. • Lead as a Principal. Drive technical strategy across product groups, make the architecture and shipping-quality calls others defer, mentor engineers, and lift the AI and forward-deployment practice of the wider organisation. Represent IFS credibly in front of customers and partners. • Anchor to the customer. Ground technical decisions in direct customer evidence and business value. You understand the A&D domain deeply enough to know which problems are worth solving and how AI changes the answer. Qualifications Essential • Demonstrated, hands-on experience leveraging AI for building products - using AI-assisted and agentic development tooling as a core part of your workflow - and for building AI within products - shipping production AI capabilities using ML integration, prompt engineering, RAG, agentic architectures, evaluation and testing, and MLOps. • Mobile engineering: a proven track record building and shipping production mobile applications, with the depth to set the technical direction for a mobile product. Native iOS development experience is strongly preferred given this role's focus on our next-generation aviation-maintenance mobility solution. • Principal-level impact: a proven track record as a recognised technical authority who drives strategy and delivery across multiple teams or product groups, with the depth to operate as a role model in the most complex, large-scope work. • Forward-deployed strength: substantial experience deploying, integrating and operating enterprise software directly in customer environments, including integration with ERP, CRM, IoT and legacy systems, and owning solution architecture in customer context. • Full-lifecycle engineering: strong foundations across the delivery lifecycle - design and development, quality and testing, cloud and DevOps, and security - with proficiency in modern general-purpose programming languages beyond any single domain framework. • Leadership and ownership: end-to-end ownership with a you-build-it, you-run-it mindset, excellent communication with technical and non-technical audiences, and a track record of growing the capability of the engineers and teams around you. Nice to have • Experience working in or with Aerospace & Defense organisations, or on solutions for asset, maintenance, MRO or fleet-readiness management. • Experience with other enterprise asset management (EAM), field service or maintenance-management solutions. • Degree in Computer Science, Software Engineering or a related field, or equivalent practical experience. • Experience of agile delivery and of working with globally distributed teams. Additional Information Flexible paid time off, including sick and holiday Medical, dental, & vision insurance 401K with Company contribution Flexible spending accounts Life insurance and disability benefits Tuition assistance Community involvement and volunteering events We embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles, while also valuing inclusive workplace experiences. By fostering a sense of community, we drive innovation, strengthen connections, and nurture belonging. Our commitment ensures you can work in a way that suits you best, while also engaging with colleagues to share ideas and build meaningful relationships. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. VEVRAA Federal Contractor, Equal Opportunity Employer
09/28/2026
Full time
Job Description Job Description Company Description IFS is a billion-dollar revenue company with 7000+ employees on all continents. We deliver award-winning enterprise software solutions through the use of embedded digital innovation and a single cloud-based platform to help businesses be their best when it really matters-at the Moment of Service . At IFS, we're flexible, we're innovative, and we're focused not only on how we can engage with our customers, but on how we can make a real change and have a worldwide impact. We help solve some of society's greatest challenges, fostering a better future through our agility, collaboration, and trust. We celebrate diversity and accept that there are so many different perspectives in this world. As a truly international company serving people from around the globe, we realize that our success is tantamount to the respect we have for those different points of view. By joining our team, you will have the opportunity to be part of a global, diverse environment; you will be joining a winning team with a commitment to sustainability; and a company where we get things done so that you can make a positive impact on the world. We're looking for innovative and original thinkers to work in an environment where you can so that we can help others make theirs. If you want to change the status quo, we'll help you make your moment. Join Team Purple. Join IFS. Job Description Our Aerospace & Defense business helps the world's leading airlines, MROs, OEMs and defense operators keep complex fleets and platforms mission-ready - managing the full maintenance, asset and service lifecycle at scale. We are reimagining how that software is built and delivered around AI, and we are investing in engineers who can put AI to work both inside our products and in how we build them. You operate forward deployed - working shoulder-to-shoulder with A&D customers in their own environments - to ship AI-powered mobile capabilities that connect IFS to the systems that run their operations. This is a Principal-level role: you are the person others build toward, setting technical direction across product groups, carrying deep expertise in Applied AI and Forward Deployed Engineering, and taking end-to-end ownership with a you-build-it, you-run-it mindset - from design and development through testing, deployment and operational reliability in the field. What you'll do • Shape our next-generation mobility solution. Help define and deliver the next-generation mobile experience for aviation maintenance - a fast, reliable, field-ready product that engineers trust to do their most critical work, including where connectivity is constrained. • Build AI into the product. Design and ship AI-powered product capabilities - model integration, prompt engineering, retrieval-augmented generation (RAG), agentic architectures and the evaluation harnesses and MLOps that keep them reliable in production. You build AI systems, not just use them. • Use AI to build the product. Treat AI-assisted development and agentic tooling as core engineering capability. You raise the bar for how the team builds - measurably faster and better - and set the standard others adopt. • Deploy forward. Embed with Aerospace & Defense customers to deploy, integrate and harden solutions in their environment. You connect IFS to the systems that run their business - ERP, CRM, IoT, telemetry, and legacy and mission systems - and own the solution architecture in real customer context, under real-world constraints. • Own delivery end to end. Design, develop, test, deploy and operate across the full stack in modern general-purpose languages. You own quality through automated testing, manage delivery through CI/CD, and ensure operational reliability in cloud, edge and mobile environments. • Lead as a Principal. Drive technical strategy across product groups, make the architecture and shipping-quality calls others defer, mentor engineers, and lift the AI and forward-deployment practice of the wider organisation. Represent IFS credibly in front of customers and partners. • Anchor to the customer. Ground technical decisions in direct customer evidence and business value. You understand the A&D domain deeply enough to know which problems are worth solving and how AI changes the answer. Qualifications Essential • Demonstrated, hands-on experience leveraging AI for building products - using AI-assisted and agentic development tooling as a core part of your workflow - and for building AI within products - shipping production AI capabilities using ML integration, prompt engineering, RAG, agentic architectures, evaluation and testing, and MLOps. • Mobile engineering: a proven track record building and shipping production mobile applications, with the depth to set the technical direction for a mobile product. Native iOS development experience is strongly preferred given this role's focus on our next-generation aviation-maintenance mobility solution. • Principal-level impact: a proven track record as a recognised technical authority who drives strategy and delivery across multiple teams or product groups, with the depth to operate as a role model in the most complex, large-scope work. • Forward-deployed strength: substantial experience deploying, integrating and operating enterprise software directly in customer environments, including integration with ERP, CRM, IoT and legacy systems, and owning solution architecture in customer context. • Full-lifecycle engineering: strong foundations across the delivery lifecycle - design and development, quality and testing, cloud and DevOps, and security - with proficiency in modern general-purpose programming languages beyond any single domain framework. • Leadership and ownership: end-to-end ownership with a you-build-it, you-run-it mindset, excellent communication with technical and non-technical audiences, and a track record of growing the capability of the engineers and teams around you. Nice to have • Experience working in or with Aerospace & Defense organisations, or on solutions for asset, maintenance, MRO or fleet-readiness management. • Experience with other enterprise asset management (EAM), field service or maintenance-management solutions. • Degree in Computer Science, Software Engineering or a related field, or equivalent practical experience. • Experience of agile delivery and of working with globally distributed teams. Additional Information Flexible paid time off, including sick and holiday Medical, dental, & vision insurance 401K with Company contribution Flexible spending accounts Life insurance and disability benefits Tuition assistance Community involvement and volunteering events We embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles, while also valuing inclusive workplace experiences. By fostering a sense of community, we drive innovation, strengthen connections, and nurture belonging. Our commitment ensures you can work in a way that suits you best, while also engaging with colleagues to share ideas and build meaningful relationships. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. VEVRAA Federal Contractor, Equal Opportunity Employer
Job Description Job Description Overview First Resonance builds the ION Factory OS - the operating system powering next-generation manufacturing for companies building rockets, satellites, eVTOLs, clean energy systems, robotics, and autonomous vehicles. We've invested heavily in forward-deployed engineers at the customer edge. Now we're strengthening the hub. We're hiring a Principal Platform Engineer to serve as a platform leader: someone with deep expertise in software infrastructure and architecture who has built and operated scaled, high-uptime systems . This person will help us scale our backend, raise our reliability and performance bar, and provide sharp technical judgment on infrastructure changes. What you'll do Own platform architecture at scale: Evaluate and evolve our backend architecture to support growth in customers, data volume, and product surface area. Drive reliability and uptime: Establish and improve reliability practices (SLOs/SLIs, incident response, postmortems, on-call effectiveness, capacity planning). Performance leadership: Identify systemic performance bottlenecks; lead initiatives across databases, APIs, caching, async processing, and observability. Review and de-risk change: Provide fast, high-quality technical assessment of infrastructure proposals and incoming changes (internal and vendor-driven). Build leverage for the team: Create scalable primitives (libraries, patterns, tooling, platform services) that enable product and forward-deployed teams to ship faster with less risk. Operational excellence: Improve monitoring, alerting, dashboards, deployment safety, and rollback strategies. Mentor and set the technical bar: Coach engineers on architecture, operational maturity, and high-quality execution; lead by example through hands-on delivery. Partner cross-functionally: Work closely with Product, Security, and field-deployed engineers to balance edge/customer urgency with platform durability. What success looks like (first 90 days) Produce a clear, prioritized platform assessment : current-state risks, near-term hardening plan, and a 6-12 month scaling roadmap. Reduce risk on critical paths by improving observability (service health, latency/error budgets, key dashboards) and deployment safety . Lead at least one high-impact initiative that materially improves uptime, performance, or developer velocity . Minimum qualifications 8+ years of professional software engineering experience, with significant time owning backend/platform systems in production. Demonstrated experience building and operating high-availability, high-uptime services (including incident response and postmortem culture). Strong systems thinking across distributed systems, databases, caching, queues, APIs, and cloud infrastructure. Track record of leading large technical initiatives across teams or across a complex codebase. Excellent written and verbal communication; able to explain tradeoffs clearly and drive alignment. Preferred qualifications Prior experience as a Staff/Principal Engineer (or equivalent scope) at a high-scale infrastructure org. Depth in one or more of: SRE / reliability engineering, performance engineering, database scalability, multi-tenant architectures, zero-downtime migrations. Experience building internal platforms that enable other engineers (tooling, CI/CD, shared services, paved roads). Experience in or affinity for manufacturing, industrial software, or hard-tech customer environments. Benefits & Perks Health Insurance; medical, vision, dental, & life insurance. Paid Parental Leave. Employee Stock Option Plan. Team outings, group lunches, open office, happy hours. Paid holidays, sick days. Flexible Friday and PTO. 401K. First Resonance is an equal opportunity employer dedicated to building an inclusive and diverse workforce. First Resonance participates in E-Verify. As part of our onboarding process, a new hire's Form I-9 information will be shared with the federal government to confirm they are authorized to work in the U.S. Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. First Resonance accelerates the speed and reliability of hardware development for companies manufacturing the next generation of hardware products. This includes space exploration, electric airplanes, autonomous vehicles, nuclear reactors, robotics, and more. We are a group of software, hardware, and manufacturing engineers that are bringing the best of modern UX and data science to an industry that has been overly rigid in its innovation. We are removing the barriers preventing radical advancement by providing tools to manufacturing engineers and operators to move information more freely, collaborate with their teams more easily, and use the power of data to predict problems and provide insights that result in better hardware quality and delivery. Compensation Range: $170K - $210K
09/28/2026
Full time
Job Description Job Description Overview First Resonance builds the ION Factory OS - the operating system powering next-generation manufacturing for companies building rockets, satellites, eVTOLs, clean energy systems, robotics, and autonomous vehicles. We've invested heavily in forward-deployed engineers at the customer edge. Now we're strengthening the hub. We're hiring a Principal Platform Engineer to serve as a platform leader: someone with deep expertise in software infrastructure and architecture who has built and operated scaled, high-uptime systems . This person will help us scale our backend, raise our reliability and performance bar, and provide sharp technical judgment on infrastructure changes. What you'll do Own platform architecture at scale: Evaluate and evolve our backend architecture to support growth in customers, data volume, and product surface area. Drive reliability and uptime: Establish and improve reliability practices (SLOs/SLIs, incident response, postmortems, on-call effectiveness, capacity planning). Performance leadership: Identify systemic performance bottlenecks; lead initiatives across databases, APIs, caching, async processing, and observability. Review and de-risk change: Provide fast, high-quality technical assessment of infrastructure proposals and incoming changes (internal and vendor-driven). Build leverage for the team: Create scalable primitives (libraries, patterns, tooling, platform services) that enable product and forward-deployed teams to ship faster with less risk. Operational excellence: Improve monitoring, alerting, dashboards, deployment safety, and rollback strategies. Mentor and set the technical bar: Coach engineers on architecture, operational maturity, and high-quality execution; lead by example through hands-on delivery. Partner cross-functionally: Work closely with Product, Security, and field-deployed engineers to balance edge/customer urgency with platform durability. What success looks like (first 90 days) Produce a clear, prioritized platform assessment : current-state risks, near-term hardening plan, and a 6-12 month scaling roadmap. Reduce risk on critical paths by improving observability (service health, latency/error budgets, key dashboards) and deployment safety . Lead at least one high-impact initiative that materially improves uptime, performance, or developer velocity . Minimum qualifications 8+ years of professional software engineering experience, with significant time owning backend/platform systems in production. Demonstrated experience building and operating high-availability, high-uptime services (including incident response and postmortem culture). Strong systems thinking across distributed systems, databases, caching, queues, APIs, and cloud infrastructure. Track record of leading large technical initiatives across teams or across a complex codebase. Excellent written and verbal communication; able to explain tradeoffs clearly and drive alignment. Preferred qualifications Prior experience as a Staff/Principal Engineer (or equivalent scope) at a high-scale infrastructure org. Depth in one or more of: SRE / reliability engineering, performance engineering, database scalability, multi-tenant architectures, zero-downtime migrations. Experience building internal platforms that enable other engineers (tooling, CI/CD, shared services, paved roads). Experience in or affinity for manufacturing, industrial software, or hard-tech customer environments. Benefits & Perks Health Insurance; medical, vision, dental, & life insurance. Paid Parental Leave. Employee Stock Option Plan. Team outings, group lunches, open office, happy hours. Paid holidays, sick days. Flexible Friday and PTO. 401K. First Resonance is an equal opportunity employer dedicated to building an inclusive and diverse workforce. First Resonance participates in E-Verify. As part of our onboarding process, a new hire's Form I-9 information will be shared with the federal government to confirm they are authorized to work in the U.S. Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. First Resonance accelerates the speed and reliability of hardware development for companies manufacturing the next generation of hardware products. This includes space exploration, electric airplanes, autonomous vehicles, nuclear reactors, robotics, and more. We are a group of software, hardware, and manufacturing engineers that are bringing the best of modern UX and data science to an industry that has been overly rigid in its innovation. We are removing the barriers preventing radical advancement by providing tools to manufacturing engineers and operators to move information more freely, collaborate with their teams more easily, and use the power of data to predict problems and provide insights that result in better hardware quality and delivery. Compensation Range: $170K - $210K
Job Description Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: Shield AI builds intelligent systems that protect service members and civilians. Our products include Hivemind autonomy software and V-BAT and X-BAT aircraft, and our teams support customers and operations across the United States, Europe, the Middle East, and Asia-Pacific. The Forward Deployed Engineer, Operations & Sustainment is a highly technical, customer-facing role focused on deploying, supporting, and sustaining Hivemind products in real operating environments. This role bridges field deployment, customer operations, technical troubleshooting, training, and sustainment. This is a travel-intensive role. Candidates must be willing and able to travel at least 50% of the time, including frequent domestic and international trips, customer-site work, test events, training events, and multi-week deployments as program needs require. In this role, you will work directly with customers and internal teams to install, configure, validate, train, troubleshoot, and support Hivemind products. The role requires strong technical judgment, clear customer communication, comfort operating under field pressure, and the discipline to turn field lessons into durable support artifacts: runbooks, supported baselines, evidence packages, known-issue records, escalation paths, customer-safe updates, and product feedback. What you'll do: Deploy with customers on site globally, with a minimum expectation of 50% travel, to support installation, configuration, validation, training, troubleshooting, and sustainment of Hivemind products. Become an expert user of the Hivemind Enterprise software stack, autonomy modules, deployment tooling, supported configurations, and diagnostic workflows. Execute and improve deployment runbooks covering software install, version/configuration validation, licensing or provisioning status, pre-mission checks, log readiness, and acceptance steps. Provide hands-on technical support to customer operators, maintainers, partners, and internal field teams during deployment, test, training, demonstration, and sustainment windows. Capture and organize field evidence for triage, including logs, telemetry, recorded data, screenshots, version/configuration state, asset context, operator notes, mission phase, and environmental constraints. Drive issues through the support flow: intake, severity assessment, ownership, workaround or fix delivery, customer-safe status, closure, and learning loop. Convert recurring field issues, workarounds, customer questions, and training gaps into support tickets, knowledge-base content, known-issue records, runbooks, and product feedback. Partner with engineering, product, program, sustainment, licensing, safety, legal, commercial, and support teams to route issues to the right owner for seamless customer support.Support root-cause investigation and corrective-action validation by reproducing issues, collecting field context, testing updates, and confirming fixes or workarounds. Support Field Service Representative-style obligations when required by contract, including on-site support posture, issue intake, operator assistance, troubleshooting, documentation, escalation, and evidence capture. Projects you might work on: Deploying Hivemind software and autonomy capabilities during customer integration events, exercises, test campaigns, demonstrations, or operational support windows. Building deployment-to-sustainment handoff packages with supported baselines, configuration checklists, evidence checklists, known issues, escalation contacts, and training material. Standing up a repeatable support flow so field issues move from informal chats and ad hoc engineering asks into a durable support hub, severity model, owner route, and closure loop. Troubleshooting field behavior across software, autonomy, networking, telemetry, configuration, sensors, operator workflows, and customer environment constraints. Creating customer-safe documentation that helps operators and maintainers self-serve routine issues while preserving the right escalation path for mission-critical problems. Required qualifications: Bachelor's degree in Engineering, Computer Science, Robotics, Aerospace, or a related technical field, or equivalent practical experience. 5+ years of experience in field engineering, forward-deployed engineering, applications engineering, systems integration, flight test, robotics support, unmanned systems operations, technical operations, customer deployment, or a similar hands-on technical role. Strong technical background in software engineering, systems integration, or autonomy-adjacent systems. Proficiency writing, reading, and debugging modern C++ code. Working proficiency with Python, Bash, or similar scripting for diagnostics, automation, data handling, and field support workflows. Strong troubleshooting skills across Linux or embedded systems, networking, configuration management, logs, telemetry, release packages, sensors or payloads, and operator workflows. Excellent problem-solving, communication, training, expectation-management, and escalation skills in customer-facing environments. Ability to write clear field notes, deployment records, troubleshooting guides, evidence packages, and support updates that engineering and support teams can act on. Willingness and ability to travel at least 50% of the time, including frequent domestic and international travel and multi-week deployments. Ability to operate professionally in lab, flight-test, range, customer-site, and field environments under time pressure. Ability to comply with export-control, security, safety, sensitive-data, customer-site, and mission-specific operating requirements. Preferred qualifications: Experience with autonomy, robotics, defense aviation, unmanned aircraft, deployed defense systems, flight test, payload integration, sensors, operator systems, or edge compute environments. Experience supporting defense, government, allied, or international customers in operational, test, training, or overseas environments. Experience building or scaling a support, field-service, customer-success, sustainment, or applications-engineering function during an early product rollout. Experience with enterprise software deployment, customer support, licensing, provisioning, release management, configuration baselines, or offline/air-gapped operating environments. Hands-on experience with recorded-data analysis, diagnostic tooling, telemetry review, networking tools, system health checks, or support automation. FAA Part 107, military aviation or maintenance background, UAS operator experience, flight-test experience, systems engineering experience, or prior Field Service Representative experience. Experience using GenAI tools to accelerate troubleshooting, documentation, knowledge capture, data review, or support workflow automation. Active or prior security clearance, or eligibility to obtain one when required by program or customer need. Senior Engineer: $152000-$228,000 Staff Engineer: $181,000-$272,000 Senior Staff Engineer: $212,000-$318,000 Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
09/28/2026
Full time
Job Description Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: Shield AI builds intelligent systems that protect service members and civilians. Our products include Hivemind autonomy software and V-BAT and X-BAT aircraft, and our teams support customers and operations across the United States, Europe, the Middle East, and Asia-Pacific. The Forward Deployed Engineer, Operations & Sustainment is a highly technical, customer-facing role focused on deploying, supporting, and sustaining Hivemind products in real operating environments. This role bridges field deployment, customer operations, technical troubleshooting, training, and sustainment. This is a travel-intensive role. Candidates must be willing and able to travel at least 50% of the time, including frequent domestic and international trips, customer-site work, test events, training events, and multi-week deployments as program needs require. In this role, you will work directly with customers and internal teams to install, configure, validate, train, troubleshoot, and support Hivemind products. The role requires strong technical judgment, clear customer communication, comfort operating under field pressure, and the discipline to turn field lessons into durable support artifacts: runbooks, supported baselines, evidence packages, known-issue records, escalation paths, customer-safe updates, and product feedback. What you'll do: Deploy with customers on site globally, with a minimum expectation of 50% travel, to support installation, configuration, validation, training, troubleshooting, and sustainment of Hivemind products. Become an expert user of the Hivemind Enterprise software stack, autonomy modules, deployment tooling, supported configurations, and diagnostic workflows. Execute and improve deployment runbooks covering software install, version/configuration validation, licensing or provisioning status, pre-mission checks, log readiness, and acceptance steps. Provide hands-on technical support to customer operators, maintainers, partners, and internal field teams during deployment, test, training, demonstration, and sustainment windows. Capture and organize field evidence for triage, including logs, telemetry, recorded data, screenshots, version/configuration state, asset context, operator notes, mission phase, and environmental constraints. Drive issues through the support flow: intake, severity assessment, ownership, workaround or fix delivery, customer-safe status, closure, and learning loop. Convert recurring field issues, workarounds, customer questions, and training gaps into support tickets, knowledge-base content, known-issue records, runbooks, and product feedback. Partner with engineering, product, program, sustainment, licensing, safety, legal, commercial, and support teams to route issues to the right owner for seamless customer support.Support root-cause investigation and corrective-action validation by reproducing issues, collecting field context, testing updates, and confirming fixes or workarounds. Support Field Service Representative-style obligations when required by contract, including on-site support posture, issue intake, operator assistance, troubleshooting, documentation, escalation, and evidence capture. Projects you might work on: Deploying Hivemind software and autonomy capabilities during customer integration events, exercises, test campaigns, demonstrations, or operational support windows. Building deployment-to-sustainment handoff packages with supported baselines, configuration checklists, evidence checklists, known issues, escalation contacts, and training material. Standing up a repeatable support flow so field issues move from informal chats and ad hoc engineering asks into a durable support hub, severity model, owner route, and closure loop. Troubleshooting field behavior across software, autonomy, networking, telemetry, configuration, sensors, operator workflows, and customer environment constraints. Creating customer-safe documentation that helps operators and maintainers self-serve routine issues while preserving the right escalation path for mission-critical problems. Required qualifications: Bachelor's degree in Engineering, Computer Science, Robotics, Aerospace, or a related technical field, or equivalent practical experience. 5+ years of experience in field engineering, forward-deployed engineering, applications engineering, systems integration, flight test, robotics support, unmanned systems operations, technical operations, customer deployment, or a similar hands-on technical role. Strong technical background in software engineering, systems integration, or autonomy-adjacent systems. Proficiency writing, reading, and debugging modern C++ code. Working proficiency with Python, Bash, or similar scripting for diagnostics, automation, data handling, and field support workflows. Strong troubleshooting skills across Linux or embedded systems, networking, configuration management, logs, telemetry, release packages, sensors or payloads, and operator workflows. Excellent problem-solving, communication, training, expectation-management, and escalation skills in customer-facing environments. Ability to write clear field notes, deployment records, troubleshooting guides, evidence packages, and support updates that engineering and support teams can act on. Willingness and ability to travel at least 50% of the time, including frequent domestic and international travel and multi-week deployments. Ability to operate professionally in lab, flight-test, range, customer-site, and field environments under time pressure. Ability to comply with export-control, security, safety, sensitive-data, customer-site, and mission-specific operating requirements. Preferred qualifications: Experience with autonomy, robotics, defense aviation, unmanned aircraft, deployed defense systems, flight test, payload integration, sensors, operator systems, or edge compute environments. Experience supporting defense, government, allied, or international customers in operational, test, training, or overseas environments. Experience building or scaling a support, field-service, customer-success, sustainment, or applications-engineering function during an early product rollout. Experience with enterprise software deployment, customer support, licensing, provisioning, release management, configuration baselines, or offline/air-gapped operating environments. Hands-on experience with recorded-data analysis, diagnostic tooling, telemetry review, networking tools, system health checks, or support automation. FAA Part 107, military aviation or maintenance background, UAS operator experience, flight-test experience, systems engineering experience, or prior Field Service Representative experience. Experience using GenAI tools to accelerate troubleshooting, documentation, knowledge capture, data review, or support workflow automation. Active or prior security clearance, or eligibility to obtain one when required by program or customer need. Senior Engineer: $152000-$228,000 Staff Engineer: $181,000-$272,000 Senior Staff Engineer: $212,000-$318,000 Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Job Description Job Description Information Security Specialist Officer, Technical Lead, AWS Security • RMF & ATO • NIST 800-53 • Cloud Application Security Clearance: Active CBP, DHS, or Top Secret Clearance required Work Arrangement: Hybrid - onsite 3 days/week during standard business hours in Ashburn, VA About the Role Dev Technology Group is seeking a Senior Information Security Specialist to lead and develop a mid-sized team of ISSOs supporting the security, compliance, and authorization of mission-critical federal applications and information systems hosted in AWS. This is a hands-on technical leadership role combining people leadership, federal cybersecurity expertise, and direct collaboration with government and technical stakeholders. You will mentor junior and mid-level ISSOs while partnering with system owners, developers, architects, cloud/infrastructure engineers, security professionals, and government stakeholders throughout the system development lifecycle. You will provide practical security guidance for AWS-hosted applications, lead Risk Management Framework (RMF) and Authority to Operate (ATO) activities, oversee vulnerability management and continuous monitoring, and translate federal cybersecurity requirements into actionable guidance for technical teams. What You'll Do Lead, mentor, and develop a team of ISSOs by establishing priorities, providing technical direction and coaching, and promoting accountability and consistent security practices. Lead and oversee RMF, ATO, security authorization, compliance, vulnerability management, and continuous monitoring activities across a portfolio of federal systems and applications. Partner with ISSMs, system owners, assessors, developers, architects, engineers, and government stakeholders to maintain authorizations, identify risks, and address security requirements. Lead vulnerability management efforts, prioritizing remediation, developing mitigation strategies, and tracking corrective actions through resolution. Develop, assess, document, and support implementation of security controls aligned with FISMA, NIST 800-53, DHS, and client requirements . Prepare and maintain security and authorization documentation, including SSPs, ISAs, audit artifacts, and RMF documentation . Provide cybersecurity guidance for applications and systems deployed in AWS and integrate security throughout the software development lifecycle. Validate security implementation through technical reviews, discussions, interviews, assessments, and tabletop exercises. Support security audits, assessments, compliance reviews, and reviews of information systems and network connections. Interpret federal and client security policies and translate requirements into practical guidance for technical and development teams. Identify and escalate security risks, communicate priorities and remediation status, and provide clear visibility to Dev Technology leadership and government stakeholders. Develop and present security metrics, status reports, risk assessments, and executive briefings . Establish and improve security processes, procedures, templates, dashboards, and workflows to improve consistency, accountability, and efficiency across the ISSO team. Build trusted relationships with government clients through proactive communication, collaboration, and face-to-face engagement. Required Education, Experience & Skills Bachelor's degree and 7+ years of experience securing federal information systems. Demonstrated experience leading and mentoring information security professionals , including junior and mid-level ISSOs. Experience leading cybersecurity activities in a federal government client environment and working directly with government stakeholders.' Strong working knowledge of NIST Risk Management Framework (RMF) and experience supporting federal systems through security authorization and ATO activities . Experience developing, implementing, assessing, or documenting security controls aligned with FISMA and NIST 800-53 . Experience with vulnerability management, continuous monitoring, security assessments, audits, or compliance reviews for federal systems. Experience providing cybersecurity guidance for AWS-hosted applications and systems . Strong understanding of modern information systems and their technical security considerations. Ability to work effectively with developers, architects, engineers, government stakeholders, and technical and non-technical audiences. Strong written and verbal communication skills, including the ability to communicate security risks and technical findings and develop/present security documentation and executive briefings. Ability to establish priorities, manage competing demands, independently manage security activities, and escalate issues appropriately. Proactive, solutions-oriented approach to identifying risks and improving security practices. Current CBP, DHS, or Top Secret Clearance. Ability to work onsite 3 days per week in Ashburn, VA during standard business hours. Cybersecurity certification such as CISSP, CISM, GIAC, Security+, or another recognized cybersecurity certification. Preferred Education, Experience & Skills Experience developing or supporting RMF and authorization artifacts, including SSPs, ISAs, PTAs, ATTs, POA&Ms , and related documentation. Experience partnering with application development, cloud engineering, and DevSecOps teams to integrate security throughout the SDLC. Experience working in an Agile software development environment using Jira or similar platforms. Experience with GRC tools such as CSAM or similar platforms supporting authorization, compliance, vulnerability management, and security activities. Understanding of AI concepts and practical applications of AI for cybersecurity operations, risk analysis, compliance, or security program management. Our estimated salary range for this position is $88,000 - $ 150,000. This presented salary range is not a guarantee of compensation or salary. Offered salary is based on experience, geographic location, and possibly contractual requirements as appropriate to the role. Salary could fall outside of this range. Who We Are Dev Technology is a growing IT company with an employee-centric culture that works on mission-critical projects for the federal government. We partner with our federal customers to deliver technology services and solutions, and to drive our client's missions forward through innovation. We use Agile and DevSecOps principles to provide services including application development, biometrics and identity management, cloud and infrastructure optimization, IT and legacy modernization, and data management. As a Washington Post Top Workplace award winner for the past THIRTEEN years in a row, the Top Workplaces USA for the past five years, and a recipient of the Companies As Responsive Employers (CARE) Award for the past six years, Dev Technology employees enjoy: Generous and flexible time-off policy Flexible work schedules and telework options, including remote work availability for eligible projects Career development opportunities including a mentorship program, technical and management training through Dev University, hands-on learning through DevLab, tuition reimbursement, and paid training opportunities Industry-leading benefits including a choice of two health plans that include dental and vision, flexible spending account, commuter benefits, life insurance, and more 401K matching with a 5% matching contribution Regular team and company social events including our annual party, happy hours, fitness challenges, and more A focus on community engagement including company wide support activities, employer match for donations, and time off for volunteer efforts To learn more about working at Dev Technology, visit Working At Dev Technology Group Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans Dev Technology Group operates in the following states: AL, AR, AZ, CO, DC, FL, GA, ID, IL, IN, MD, MA, ME, MI, MN, MO, MS, NC, NJ, OH, OR, PA, SC, TN, TX, VA, WV.
09/26/2026
Full time
Job Description Job Description Information Security Specialist Officer, Technical Lead, AWS Security • RMF & ATO • NIST 800-53 • Cloud Application Security Clearance: Active CBP, DHS, or Top Secret Clearance required Work Arrangement: Hybrid - onsite 3 days/week during standard business hours in Ashburn, VA About the Role Dev Technology Group is seeking a Senior Information Security Specialist to lead and develop a mid-sized team of ISSOs supporting the security, compliance, and authorization of mission-critical federal applications and information systems hosted in AWS. This is a hands-on technical leadership role combining people leadership, federal cybersecurity expertise, and direct collaboration with government and technical stakeholders. You will mentor junior and mid-level ISSOs while partnering with system owners, developers, architects, cloud/infrastructure engineers, security professionals, and government stakeholders throughout the system development lifecycle. You will provide practical security guidance for AWS-hosted applications, lead Risk Management Framework (RMF) and Authority to Operate (ATO) activities, oversee vulnerability management and continuous monitoring, and translate federal cybersecurity requirements into actionable guidance for technical teams. What You'll Do Lead, mentor, and develop a team of ISSOs by establishing priorities, providing technical direction and coaching, and promoting accountability and consistent security practices. Lead and oversee RMF, ATO, security authorization, compliance, vulnerability management, and continuous monitoring activities across a portfolio of federal systems and applications. Partner with ISSMs, system owners, assessors, developers, architects, engineers, and government stakeholders to maintain authorizations, identify risks, and address security requirements. Lead vulnerability management efforts, prioritizing remediation, developing mitigation strategies, and tracking corrective actions through resolution. Develop, assess, document, and support implementation of security controls aligned with FISMA, NIST 800-53, DHS, and client requirements . Prepare and maintain security and authorization documentation, including SSPs, ISAs, audit artifacts, and RMF documentation . Provide cybersecurity guidance for applications and systems deployed in AWS and integrate security throughout the software development lifecycle. Validate security implementation through technical reviews, discussions, interviews, assessments, and tabletop exercises. Support security audits, assessments, compliance reviews, and reviews of information systems and network connections. Interpret federal and client security policies and translate requirements into practical guidance for technical and development teams. Identify and escalate security risks, communicate priorities and remediation status, and provide clear visibility to Dev Technology leadership and government stakeholders. Develop and present security metrics, status reports, risk assessments, and executive briefings . Establish and improve security processes, procedures, templates, dashboards, and workflows to improve consistency, accountability, and efficiency across the ISSO team. Build trusted relationships with government clients through proactive communication, collaboration, and face-to-face engagement. Required Education, Experience & Skills Bachelor's degree and 7+ years of experience securing federal information systems. Demonstrated experience leading and mentoring information security professionals , including junior and mid-level ISSOs. Experience leading cybersecurity activities in a federal government client environment and working directly with government stakeholders.' Strong working knowledge of NIST Risk Management Framework (RMF) and experience supporting federal systems through security authorization and ATO activities . Experience developing, implementing, assessing, or documenting security controls aligned with FISMA and NIST 800-53 . Experience with vulnerability management, continuous monitoring, security assessments, audits, or compliance reviews for federal systems. Experience providing cybersecurity guidance for AWS-hosted applications and systems . Strong understanding of modern information systems and their technical security considerations. Ability to work effectively with developers, architects, engineers, government stakeholders, and technical and non-technical audiences. Strong written and verbal communication skills, including the ability to communicate security risks and technical findings and develop/present security documentation and executive briefings. Ability to establish priorities, manage competing demands, independently manage security activities, and escalate issues appropriately. Proactive, solutions-oriented approach to identifying risks and improving security practices. Current CBP, DHS, or Top Secret Clearance. Ability to work onsite 3 days per week in Ashburn, VA during standard business hours. Cybersecurity certification such as CISSP, CISM, GIAC, Security+, or another recognized cybersecurity certification. Preferred Education, Experience & Skills Experience developing or supporting RMF and authorization artifacts, including SSPs, ISAs, PTAs, ATTs, POA&Ms , and related documentation. Experience partnering with application development, cloud engineering, and DevSecOps teams to integrate security throughout the SDLC. Experience working in an Agile software development environment using Jira or similar platforms. Experience with GRC tools such as CSAM or similar platforms supporting authorization, compliance, vulnerability management, and security activities. Understanding of AI concepts and practical applications of AI for cybersecurity operations, risk analysis, compliance, or security program management. Our estimated salary range for this position is $88,000 - $ 150,000. This presented salary range is not a guarantee of compensation or salary. Offered salary is based on experience, geographic location, and possibly contractual requirements as appropriate to the role. Salary could fall outside of this range. Who We Are Dev Technology is a growing IT company with an employee-centric culture that works on mission-critical projects for the federal government. We partner with our federal customers to deliver technology services and solutions, and to drive our client's missions forward through innovation. We use Agile and DevSecOps principles to provide services including application development, biometrics and identity management, cloud and infrastructure optimization, IT and legacy modernization, and data management. As a Washington Post Top Workplace award winner for the past THIRTEEN years in a row, the Top Workplaces USA for the past five years, and a recipient of the Companies As Responsive Employers (CARE) Award for the past six years, Dev Technology employees enjoy: Generous and flexible time-off policy Flexible work schedules and telework options, including remote work availability for eligible projects Career development opportunities including a mentorship program, technical and management training through Dev University, hands-on learning through DevLab, tuition reimbursement, and paid training opportunities Industry-leading benefits including a choice of two health plans that include dental and vision, flexible spending account, commuter benefits, life insurance, and more 401K matching with a 5% matching contribution Regular team and company social events including our annual party, happy hours, fitness challenges, and more A focus on community engagement including company wide support activities, employer match for donations, and time off for volunteer efforts To learn more about working at Dev Technology, visit Working At Dev Technology Group Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans Dev Technology Group operates in the following states: AL, AR, AZ, CO, DC, FL, GA, ID, IL, IN, MD, MA, ME, MI, MN, MO, MS, NC, NJ, OH, OR, PA, SC, TN, TX, VA, WV.
Job Description Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: Shield AI builds intelligent systems that protect service members and civilians. Our products include Hivemind autonomy software and V-BAT and X-BAT aircraft, and our teams support customers and operations across the United States, Europe, the Middle East, and Asia-Pacific. The Forward Deployed Engineer, Operations & Sustainment is a highly technical, customer-facing role focused on deploying, supporting, and sustaining Hivemind products in real operating environments. This role bridges field deployment, customer operations, technical troubleshooting, training, and sustainment. This is a travel-intensive role. Candidates must be willing and able to travel at least 50% of the time, including frequent domestic and international trips, customer-site work, test events, training events, and multi-week deployments as program needs require. In this role, you will work directly with customers and internal teams to install, configure, validate, train, troubleshoot, and support Hivemind products. The role requires strong technical judgment, clear customer communication, comfort operating under field pressure, and the discipline to turn field lessons into durable support artifacts: runbooks, supported baselines, evidence packages, known-issue records, escalation paths, customer-safe updates, and product feedback. What you'll do: Deploy with customers on site globally, with a minimum expectation of 50% travel, to support installation, configuration, validation, training, troubleshooting, and sustainment of Hivemind products. Become an expert user of the Hivemind Enterprise software stack, autonomy modules, deployment tooling, supported configurations, and diagnostic workflows. Execute and improve deployment runbooks covering software install, version/configuration validation, licensing or provisioning status, pre-mission checks, log readiness, and acceptance steps. Provide hands-on technical support to customer operators, maintainers, partners, and internal field teams during deployment, test, training, demonstration, and sustainment windows. Capture and organize field evidence for triage, including logs, telemetry, recorded data, screenshots, version/configuration state, asset context, operator notes, mission phase, and environmental constraints. Drive issues through the support flow: intake, severity assessment, ownership, workaround or fix delivery, customer-safe status, closure, and learning loop. Convert recurring field issues, workarounds, customer questions, and training gaps into support tickets, knowledge-base content, known-issue records, runbooks, and product feedback. Partner with engineering, product, program, sustainment, licensing, safety, legal, commercial, and support teams to route issues to the right owner for seamless customer support.Support root-cause investigation and corrective-action validation by reproducing issues, collecting field context, testing updates, and confirming fixes or workarounds. Support Field Service Representative-style obligations when required by contract, including on-site support posture, issue intake, operator assistance, troubleshooting, documentation, escalation, and evidence capture. Projects you might work on: Deploying Hivemind software and autonomy capabilities during customer integration events, exercises, test campaigns, demonstrations, or operational support windows. Building deployment-to-sustainment handoff packages with supported baselines, configuration checklists, evidence checklists, known issues, escalation contacts, and training material. Standing up a repeatable support flow so field issues move from informal chats and ad hoc engineering asks into a durable support hub, severity model, owner route, and closure loop. Troubleshooting field behavior across software, autonomy, networking, telemetry, configuration, sensors, operator workflows, and customer environment constraints. Creating customer-safe documentation that helps operators and maintainers self-serve routine issues while preserving the right escalation path for mission-critical problems. Required qualifications: Bachelor's degree in Engineering, Computer Science, Robotics, Aerospace, or a related technical field, or equivalent practical experience. 5+ years of experience in field engineering, forward-deployed engineering, applications engineering, systems integration, flight test, robotics support, unmanned systems operations, technical operations, customer deployment, or a similar hands-on technical role. Strong technical background in software engineering, systems integration, or autonomy-adjacent systems. Proficiency writing, reading, and debugging modern C++ code. Working proficiency with Python, Bash, or similar scripting for diagnostics, automation, data handling, and field support workflows. Strong troubleshooting skills across Linux or embedded systems, networking, configuration management, logs, telemetry, release packages, sensors or payloads, and operator workflows. Excellent problem-solving, communication, training, expectation-management, and escalation skills in customer-facing environments. Ability to write clear field notes, deployment records, troubleshooting guides, evidence packages, and support updates that engineering and support teams can act on. Willingness and ability to travel at least 50% of the time, including frequent domestic and international travel and multi-week deployments. Ability to operate professionally in lab, flight-test, range, customer-site, and field environments under time pressure. Ability to comply with export-control, security, safety, sensitive-data, customer-site, and mission-specific operating requirements. Preferred qualifications: Experience with autonomy, robotics, defense aviation, unmanned aircraft, deployed defense systems, flight test, payload integration, sensors, operator systems, or edge compute environments. Experience supporting defense, government, allied, or international customers in operational, test, training, or overseas environments. Experience building or scaling a support, field-service, customer-success, sustainment, or applications-engineering function during an early product rollout. Experience with enterprise software deployment, customer support, licensing, provisioning, release management, configuration baselines, or offline/air-gapped operating environments. Hands-on experience with recorded-data analysis, diagnostic tooling, telemetry review, networking tools, system health checks, or support automation. FAA Part 107, military aviation or maintenance background, UAS operator experience, flight-test experience, systems engineering experience, or prior Field Service Representative experience. Experience using GenAI tools to accelerate troubleshooting, documentation, knowledge capture, data review, or support workflow automation. Active or prior security clearance, or eligibility to obtain one when required by program or customer need. Senior Engineer: $152000-$228,000 Staff Engineer: $181,000-$272,000 Senior Staff Engineer: $212,000-$318,000 Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
09/26/2026
Full time
Job Description Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: Shield AI builds intelligent systems that protect service members and civilians. Our products include Hivemind autonomy software and V-BAT and X-BAT aircraft, and our teams support customers and operations across the United States, Europe, the Middle East, and Asia-Pacific. The Forward Deployed Engineer, Operations & Sustainment is a highly technical, customer-facing role focused on deploying, supporting, and sustaining Hivemind products in real operating environments. This role bridges field deployment, customer operations, technical troubleshooting, training, and sustainment. This is a travel-intensive role. Candidates must be willing and able to travel at least 50% of the time, including frequent domestic and international trips, customer-site work, test events, training events, and multi-week deployments as program needs require. In this role, you will work directly with customers and internal teams to install, configure, validate, train, troubleshoot, and support Hivemind products. The role requires strong technical judgment, clear customer communication, comfort operating under field pressure, and the discipline to turn field lessons into durable support artifacts: runbooks, supported baselines, evidence packages, known-issue records, escalation paths, customer-safe updates, and product feedback. What you'll do: Deploy with customers on site globally, with a minimum expectation of 50% travel, to support installation, configuration, validation, training, troubleshooting, and sustainment of Hivemind products. Become an expert user of the Hivemind Enterprise software stack, autonomy modules, deployment tooling, supported configurations, and diagnostic workflows. Execute and improve deployment runbooks covering software install, version/configuration validation, licensing or provisioning status, pre-mission checks, log readiness, and acceptance steps. Provide hands-on technical support to customer operators, maintainers, partners, and internal field teams during deployment, test, training, demonstration, and sustainment windows. Capture and organize field evidence for triage, including logs, telemetry, recorded data, screenshots, version/configuration state, asset context, operator notes, mission phase, and environmental constraints. Drive issues through the support flow: intake, severity assessment, ownership, workaround or fix delivery, customer-safe status, closure, and learning loop. Convert recurring field issues, workarounds, customer questions, and training gaps into support tickets, knowledge-base content, known-issue records, runbooks, and product feedback. Partner with engineering, product, program, sustainment, licensing, safety, legal, commercial, and support teams to route issues to the right owner for seamless customer support.Support root-cause investigation and corrective-action validation by reproducing issues, collecting field context, testing updates, and confirming fixes or workarounds. Support Field Service Representative-style obligations when required by contract, including on-site support posture, issue intake, operator assistance, troubleshooting, documentation, escalation, and evidence capture. Projects you might work on: Deploying Hivemind software and autonomy capabilities during customer integration events, exercises, test campaigns, demonstrations, or operational support windows. Building deployment-to-sustainment handoff packages with supported baselines, configuration checklists, evidence checklists, known issues, escalation contacts, and training material. Standing up a repeatable support flow so field issues move from informal chats and ad hoc engineering asks into a durable support hub, severity model, owner route, and closure loop. Troubleshooting field behavior across software, autonomy, networking, telemetry, configuration, sensors, operator workflows, and customer environment constraints. Creating customer-safe documentation that helps operators and maintainers self-serve routine issues while preserving the right escalation path for mission-critical problems. Required qualifications: Bachelor's degree in Engineering, Computer Science, Robotics, Aerospace, or a related technical field, or equivalent practical experience. 5+ years of experience in field engineering, forward-deployed engineering, applications engineering, systems integration, flight test, robotics support, unmanned systems operations, technical operations, customer deployment, or a similar hands-on technical role. Strong technical background in software engineering, systems integration, or autonomy-adjacent systems. Proficiency writing, reading, and debugging modern C++ code. Working proficiency with Python, Bash, or similar scripting for diagnostics, automation, data handling, and field support workflows. Strong troubleshooting skills across Linux or embedded systems, networking, configuration management, logs, telemetry, release packages, sensors or payloads, and operator workflows. Excellent problem-solving, communication, training, expectation-management, and escalation skills in customer-facing environments. Ability to write clear field notes, deployment records, troubleshooting guides, evidence packages, and support updates that engineering and support teams can act on. Willingness and ability to travel at least 50% of the time, including frequent domestic and international travel and multi-week deployments. Ability to operate professionally in lab, flight-test, range, customer-site, and field environments under time pressure. Ability to comply with export-control, security, safety, sensitive-data, customer-site, and mission-specific operating requirements. Preferred qualifications: Experience with autonomy, robotics, defense aviation, unmanned aircraft, deployed defense systems, flight test, payload integration, sensors, operator systems, or edge compute environments. Experience supporting defense, government, allied, or international customers in operational, test, training, or overseas environments. Experience building or scaling a support, field-service, customer-success, sustainment, or applications-engineering function during an early product rollout. Experience with enterprise software deployment, customer support, licensing, provisioning, release management, configuration baselines, or offline/air-gapped operating environments. Hands-on experience with recorded-data analysis, diagnostic tooling, telemetry review, networking tools, system health checks, or support automation. FAA Part 107, military aviation or maintenance background, UAS operator experience, flight-test experience, systems engineering experience, or prior Field Service Representative experience. Experience using GenAI tools to accelerate troubleshooting, documentation, knowledge capture, data review, or support workflow automation. Active or prior security clearance, or eligibility to obtain one when required by program or customer need. Senior Engineer: $152000-$228,000 Staff Engineer: $181,000-$272,000 Senior Staff Engineer: $212,000-$318,000 Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Job Description Job Description Role Overview We are hiring Forward Deployed AI Engineers (FDEs) to partner with one of the largest healthcare payers in the U.S. to drive AI-led transformation across core business workflows . This is not a traditional engineering role. You will work directly with business and technology teams to design, build, and deploy AI agents that transform how healthcare operations function, while enabling teams to become AI-native and self-sufficient . You will operate at the intersection of AI, engineering, and healthcare operations , delivering real-world impact across critical payer workflows. Key Responsibilities1. AI-Driven Business Transformation Redesign healthcare processes using AI-first principles Identify opportunities to replace or augment manual workflows with AI agents Translate business problems into working AI solutions 2. Agentic AI Design & Deployment Design, build, and deploy AI agents for enterprise workflows Implement multi-agent systems using LLMs (prompting, memory, tool usage) Rapidly prototype and productionize solutions using platforms such as: OpenAI Anthropic Google (Gemini) 3. Forward Deployed Execution Work directly with client teams (business + IT) to: Whiteboard solutions Build prototypes in days/weeks Deploy and iterate rapidly Operate as a trusted advisor and builder 4. AI-Augmented SDLC Leverage AI across the software lifecycle: Code generation and refactoring Automated testing and validation Documentation and observability Drive productivity improvements across engineering teams 5. Enablement & Adoption Train business and operations teams to: Use AI tools and agents effectively Build and iterate workflows independently Develop reusable playbooks and frameworks Domain Focus (Healthcare Payer Workflows) Claims Processing & Adjudication Prior Authorization Member & Provider Contact Center Provider Data Management Care Management & Utilization Review Revenue Cycle & Payment Integrity Required SkillsTechnical Strong software engineering background ( Python, APIs, microservices ) Experience with LLMs, prompt engineering, and AI frameworks Familiarity with agent frameworks (LangChain, Semantic Kernel, etc.) AI & Data Experience building AI/ML or LLM-powered applications Understanding of structured and unstructured data pipelines Knowledge of model evaluation, monitoring, and governance Cloud Experience with: AWS Azure Consulting Mindset Strong communication and stakeholder management Ability to work directly with business teams Experience in rapid prototyping and iterative delivery Preferred Experience in U.S. healthcare payer or PBM environments Understanding of claims, prior auth, or care management workflows Familiarity with regulatory/compliance (HIPAA) Experience 6-12+ years in software engineering, AI, or related roles Prior client-facing / consulting experience preferred What Makes This Role Unique Work at the forefront of AI-driven enterprise transformation Build real-world AI agents replacing traditional workflows Direct business impact through a forward-deployed model Opportunity to scale from pilot solutions to enterprise-wide programs Success Metrics Number of workflows transformed using AI Reduction in manual effort and cost-to-serve Adoption of AI tools by business teams Speed from prototype to production
09/26/2026
Full time
Job Description Job Description Role Overview We are hiring Forward Deployed AI Engineers (FDEs) to partner with one of the largest healthcare payers in the U.S. to drive AI-led transformation across core business workflows . This is not a traditional engineering role. You will work directly with business and technology teams to design, build, and deploy AI agents that transform how healthcare operations function, while enabling teams to become AI-native and self-sufficient . You will operate at the intersection of AI, engineering, and healthcare operations , delivering real-world impact across critical payer workflows. Key Responsibilities1. AI-Driven Business Transformation Redesign healthcare processes using AI-first principles Identify opportunities to replace or augment manual workflows with AI agents Translate business problems into working AI solutions 2. Agentic AI Design & Deployment Design, build, and deploy AI agents for enterprise workflows Implement multi-agent systems using LLMs (prompting, memory, tool usage) Rapidly prototype and productionize solutions using platforms such as: OpenAI Anthropic Google (Gemini) 3. Forward Deployed Execution Work directly with client teams (business + IT) to: Whiteboard solutions Build prototypes in days/weeks Deploy and iterate rapidly Operate as a trusted advisor and builder 4. AI-Augmented SDLC Leverage AI across the software lifecycle: Code generation and refactoring Automated testing and validation Documentation and observability Drive productivity improvements across engineering teams 5. Enablement & Adoption Train business and operations teams to: Use AI tools and agents effectively Build and iterate workflows independently Develop reusable playbooks and frameworks Domain Focus (Healthcare Payer Workflows) Claims Processing & Adjudication Prior Authorization Member & Provider Contact Center Provider Data Management Care Management & Utilization Review Revenue Cycle & Payment Integrity Required SkillsTechnical Strong software engineering background ( Python, APIs, microservices ) Experience with LLMs, prompt engineering, and AI frameworks Familiarity with agent frameworks (LangChain, Semantic Kernel, etc.) AI & Data Experience building AI/ML or LLM-powered applications Understanding of structured and unstructured data pipelines Knowledge of model evaluation, monitoring, and governance Cloud Experience with: AWS Azure Consulting Mindset Strong communication and stakeholder management Ability to work directly with business teams Experience in rapid prototyping and iterative delivery Preferred Experience in U.S. healthcare payer or PBM environments Understanding of claims, prior auth, or care management workflows Familiarity with regulatory/compliance (HIPAA) Experience 6-12+ years in software engineering, AI, or related roles Prior client-facing / consulting experience preferred What Makes This Role Unique Work at the forefront of AI-driven enterprise transformation Build real-world AI agents replacing traditional workflows Direct business impact through a forward-deployed model Opportunity to scale from pilot solutions to enterprise-wide programs Success Metrics Number of workflows transformed using AI Reduction in manual effort and cost-to-serve Adoption of AI tools by business teams Speed from prototype to production
