Intro Are you ready to explore a world of possibilities, both at work and duringyour time off? Join our American Airlines family, and you'll travel the world, grow your expertise and become the best version of you. As you embark on a new journey, you'll tackle challenges with flexibility and grace, learning new skills and advancing your career while having the time of your life. Feel free to enrich both your personal and work life and hop on board! Why you'll love this job Responsible for applying machine learning and statical techniques to help solve complex Technical Operations challenges. Technical Operations Division focuses on maintenance and overhaul of aircraft, aircraft safety, planning and scheduling aircraft maintenance, supply of necessary parts and tools, technical assistance, and strategic support. The role is a part of the Technical Operations Performance and Analytics team within our Technical Operations group. What you'll do As noted above, this list is intended to reflect the current job but there may be additional essential functions (and certainly non-essential job functions) that are not referenced. Management will modify the job or require other tasks be performed whenever it is deemed appropriate to do so, observing, of course, any legal obligations including any collective bargaining obligations. Collaborate with teams across the business to translate their needs or challenges into machine learning or statistical problems. Build predictive forecasting systems to model future performance on known change. Support the development of data products through exploratory data analysis, feature engineering, and model building. Explore and create new datasets, identify key features, and identify new ones to be used in modeling. Datasets includes subject areas such as maintenance discrepancies, production bill of work, airline flight schedules, parts and tooling inventory, aircraft out of service, productivity, etc. Effectively communicate complex experiments, models, and analytics outputs with partners in simple and actionable way. Able to communicate the analysis directly with leaders at the airports and within Technical Operations group. Analysis may include flight dispatch reliability, productive aircraft scheduling, execution of routine maintenance, operational performance, etc. Design and manage feature-based datasets in Azure for streamline ML & AI. Other duties as assigned. All you'll need for success Minimum Qualifications- Education & Prior Job Experience Master's/PhD degree or Bachelor's degree with 2+ years of equivalent practical experience in a quantitative discipline (e.g., Computer Science, Data Science, Applied Mathematics, Statistics, Operations Research, Engineering, etc.) Experience with at least one programming language (e.g., Python, R, Java), software engineering best practices (including testing and version control), and machine learning libraries Practical experience with data extraction, cleaning, and analysis Deep knowledge of statistical and machine learning techniques Ability to successfully complete technical interviews and take-home test in areas of statistics, machine learning, SQL, Python, PySpark, and MLOps. Preferred Qualifications- Education & Prior Job Experience Experience with SQL and data visualization Practical experience designing, building and deploying machine learning models Experience working in a consulting role Domain knowledge in the airline industry is a plus Familiarity with deep learning, natural language processing, computer vision, recommender systems, experimentation (e.g., A/B testing) is a plus Experience in using cloud platforms and parallel processing is a plus Experience applying various data science techniques such as: Forecasting, Recommendation Systems, A/B Testing, Logistics Optimization, Churn Analysis, Segmentation Analysis, and Deep Learning Experience using Databricks, PySpark / Spark, Snowflake, dbt, Azure Cloud Skills, Licenses & Certifications Demonstrated aptitude for logical analysis, problem identification, and problem solving Ability to view data from different angles to employ feature engineering techniques to better represent models Ability to work on a diverse team or with a diverse range of coworkers Ability to solve complex problems and puzzles in a constrained and dynamic environment Ability to leverage understanding of the airline business and commercial goals to drive results and innovative solutions Ability to be adaptive to new ideas and business processes in an ever-changing marketplace Ability to challenge self and team to develop future-oriented network strategies Ability to communicate and collaborate, work with cross-functional groups to drive outcomes which benefit the entire airline Excellent interpersonal and communication skills with technical and non-technical audiences Skilled at sharing knowledge to develop the expertise of the team as a whole What you'll get Feel free to take advantage of all that American Airlines has to offer: Travel Perks: Ready to explore the world? You, your family and your friends can reach 365 destinations on more than 6,800 daily flights across our global network. Health Benefits: On day one, you'll have access to your health, dental, prescription and vision benefits to help you stay well. And that's just the start, we also offer virtual doctor visits, flexible spending accounts and more. Wellness Programs: We want you to be the best version of yourself - that's why our wellness programs provide you with all the right tools, resources and support you need. 401(k) Program: Available upon hire and, depending on the workgroup, employer contributions to your 401(k) program are available after one year. Additional Benefits: Other great benefits include our Employee Assistance Program, pet insurance and discounts on hotels, cars, cruises and more Feel free to be yourself at American From the team members we hire to the customers we serve, inclusion and diversity are the foundation of the dynamic workforce at American Airlines. Our 20+ Team Member Business Resource Groups are focused on connecting our team members to our customers, suppliers, communities and shareholders, helping team members reach their full potential and creating an inclusive work environment to meet and exceed the needs of our diverse world. Are you ready to feel a tremendous sense of pride and satisfaction as you do your part to keep the largest airline in the world running smoothly as we care for people on life's journey? Feel free to be yourself at American.
09/29/2026
Full time
Intro Are you ready to explore a world of possibilities, both at work and duringyour time off? Join our American Airlines family, and you'll travel the world, grow your expertise and become the best version of you. As you embark on a new journey, you'll tackle challenges with flexibility and grace, learning new skills and advancing your career while having the time of your life. Feel free to enrich both your personal and work life and hop on board! Why you'll love this job Responsible for applying machine learning and statical techniques to help solve complex Technical Operations challenges. Technical Operations Division focuses on maintenance and overhaul of aircraft, aircraft safety, planning and scheduling aircraft maintenance, supply of necessary parts and tools, technical assistance, and strategic support. The role is a part of the Technical Operations Performance and Analytics team within our Technical Operations group. What you'll do As noted above, this list is intended to reflect the current job but there may be additional essential functions (and certainly non-essential job functions) that are not referenced. Management will modify the job or require other tasks be performed whenever it is deemed appropriate to do so, observing, of course, any legal obligations including any collective bargaining obligations. Collaborate with teams across the business to translate their needs or challenges into machine learning or statistical problems. Build predictive forecasting systems to model future performance on known change. Support the development of data products through exploratory data analysis, feature engineering, and model building. Explore and create new datasets, identify key features, and identify new ones to be used in modeling. Datasets includes subject areas such as maintenance discrepancies, production bill of work, airline flight schedules, parts and tooling inventory, aircraft out of service, productivity, etc. Effectively communicate complex experiments, models, and analytics outputs with partners in simple and actionable way. Able to communicate the analysis directly with leaders at the airports and within Technical Operations group. Analysis may include flight dispatch reliability, productive aircraft scheduling, execution of routine maintenance, operational performance, etc. Design and manage feature-based datasets in Azure for streamline ML & AI. Other duties as assigned. All you'll need for success Minimum Qualifications- Education & Prior Job Experience Master's/PhD degree or Bachelor's degree with 2+ years of equivalent practical experience in a quantitative discipline (e.g., Computer Science, Data Science, Applied Mathematics, Statistics, Operations Research, Engineering, etc.) Experience with at least one programming language (e.g., Python, R, Java), software engineering best practices (including testing and version control), and machine learning libraries Practical experience with data extraction, cleaning, and analysis Deep knowledge of statistical and machine learning techniques Ability to successfully complete technical interviews and take-home test in areas of statistics, machine learning, SQL, Python, PySpark, and MLOps. Preferred Qualifications- Education & Prior Job Experience Experience with SQL and data visualization Practical experience designing, building and deploying machine learning models Experience working in a consulting role Domain knowledge in the airline industry is a plus Familiarity with deep learning, natural language processing, computer vision, recommender systems, experimentation (e.g., A/B testing) is a plus Experience in using cloud platforms and parallel processing is a plus Experience applying various data science techniques such as: Forecasting, Recommendation Systems, A/B Testing, Logistics Optimization, Churn Analysis, Segmentation Analysis, and Deep Learning Experience using Databricks, PySpark / Spark, Snowflake, dbt, Azure Cloud Skills, Licenses & Certifications Demonstrated aptitude for logical analysis, problem identification, and problem solving Ability to view data from different angles to employ feature engineering techniques to better represent models Ability to work on a diverse team or with a diverse range of coworkers Ability to solve complex problems and puzzles in a constrained and dynamic environment Ability to leverage understanding of the airline business and commercial goals to drive results and innovative solutions Ability to be adaptive to new ideas and business processes in an ever-changing marketplace Ability to challenge self and team to develop future-oriented network strategies Ability to communicate and collaborate, work with cross-functional groups to drive outcomes which benefit the entire airline Excellent interpersonal and communication skills with technical and non-technical audiences Skilled at sharing knowledge to develop the expertise of the team as a whole What you'll get Feel free to take advantage of all that American Airlines has to offer: Travel Perks: Ready to explore the world? You, your family and your friends can reach 365 destinations on more than 6,800 daily flights across our global network. Health Benefits: On day one, you'll have access to your health, dental, prescription and vision benefits to help you stay well. And that's just the start, we also offer virtual doctor visits, flexible spending accounts and more. Wellness Programs: We want you to be the best version of yourself - that's why our wellness programs provide you with all the right tools, resources and support you need. 401(k) Program: Available upon hire and, depending on the workgroup, employer contributions to your 401(k) program are available after one year. Additional Benefits: Other great benefits include our Employee Assistance Program, pet insurance and discounts on hotels, cars, cruises and more Feel free to be yourself at American From the team members we hire to the customers we serve, inclusion and diversity are the foundation of the dynamic workforce at American Airlines. Our 20+ Team Member Business Resource Groups are focused on connecting our team members to our customers, suppliers, communities and shareholders, helping team members reach their full potential and creating an inclusive work environment to meet and exceed the needs of our diverse world. Are you ready to feel a tremendous sense of pride and satisfaction as you do your part to keep the largest airline in the world running smoothly as we care for people on life's journey? Feel free to be yourself at American.
Job Description Job Description Scrum Master Employment Type: Permanent Full-Time Location: Atlanta, GA Position Description This position is located at the client site in Atlanta, GA. Your Future Duties and Responsibilities Facilitate Agile ceremonies, including sprint planning, daily stand-ups, backlog refinement, sprint reviews, and retrospectives for regulatory reporting initiatives. Partner with Product Owners, Regulatory Reporting teams, Finance, Risk, and Technology stakeholders to prioritize work and align sprint objectives with regulatory reporting deadlines. Coordinate delivery of enhancements supporting financial and regulatory reporting, including Call Reports, FR Y-9C, FR Y-14, CECL, Basel, liquidity, capital, and other regulatory reporting requirements, as applicable. Manage cross-functional dependencies across data, reporting, finance, risk, compliance, and technology teams to support the timely delivery of regulatory reporting capabilities. Remove delivery impediments and proactively resolve issues impacting sprint commitments, reporting schedules, and regulatory milestones. Track sprint progress, team velocity, release readiness, and key delivery metrics while providing transparent status reporting to program leadership. Coordinate backlog management, release planning, and production implementation activities supporting regulatory reporting enhancements and defect remediation. Support the delivery of data integration, reporting, reconciliation, and controls initiatives required to improve regulatory reporting accuracy and operational efficiency. Facilitate collaboration between business stakeholders, development teams, quality engineering, data engineering, and regulatory reporting subject-matter experts. Monitor project risks, issues, assumptions, and dependencies, escalating potential impacts to regulatory reporting schedules or compliance obligations. Promote Agile best practices, continuous improvement, and servant leadership while ensuring alignment with enterprise governance and delivery standards. Support audit readiness by coordinating documentation, sprint artifacts, traceability, and evidence required for internal audits and regulatory examinations. Ensure delivery activities align with internal controls, SOX requirements, enterprise governance standards, and applicable financial services regulatory reporting obligations. Coordinate post-release reviews, production support activities, and continuous improvement efforts to enhance reporting quality, stability, and delivery performance. Required Qualifications 8+ years of Scrum Master or Agile delivery experience supporting enterprise technology initiatives. 5+ years of banking experience. 5+ years of experience delivering data engagements. Experience leading Agile teams within financial services or banking environments. Knowledge of Agile, Scrum, Kanban, and hybrid delivery methodologies. Experience coordinating cross-functional teams across business and technology organizations. Strong understanding of project planning, sprint management, backlog grooming, and dependency management. Experience using Agile management tools such as Azure DevOps, Jira, or Rally. Excellent facilitation, communication, stakeholder management, and problem-solving skills. Desired Qualifications Experience supporting regulatory reporting, finance, risk, or compliance initiatives. Knowledge of banking regulatory reporting processes, including FR Y-9C, Call Reports, CCAR, CECL, and Basel. Experience supporting large-scale banking conversions or transformation programs. Scrum Master certification, such as CSM, PSM, SAFe Scrum Master, or equivalent. Experience working with distributed and offshore Agile delivery teams. - KB1
09/28/2026
Full time
Job Description Job Description Scrum Master Employment Type: Permanent Full-Time Location: Atlanta, GA Position Description This position is located at the client site in Atlanta, GA. Your Future Duties and Responsibilities Facilitate Agile ceremonies, including sprint planning, daily stand-ups, backlog refinement, sprint reviews, and retrospectives for regulatory reporting initiatives. Partner with Product Owners, Regulatory Reporting teams, Finance, Risk, and Technology stakeholders to prioritize work and align sprint objectives with regulatory reporting deadlines. Coordinate delivery of enhancements supporting financial and regulatory reporting, including Call Reports, FR Y-9C, FR Y-14, CECL, Basel, liquidity, capital, and other regulatory reporting requirements, as applicable. Manage cross-functional dependencies across data, reporting, finance, risk, compliance, and technology teams to support the timely delivery of regulatory reporting capabilities. Remove delivery impediments and proactively resolve issues impacting sprint commitments, reporting schedules, and regulatory milestones. Track sprint progress, team velocity, release readiness, and key delivery metrics while providing transparent status reporting to program leadership. Coordinate backlog management, release planning, and production implementation activities supporting regulatory reporting enhancements and defect remediation. Support the delivery of data integration, reporting, reconciliation, and controls initiatives required to improve regulatory reporting accuracy and operational efficiency. Facilitate collaboration between business stakeholders, development teams, quality engineering, data engineering, and regulatory reporting subject-matter experts. Monitor project risks, issues, assumptions, and dependencies, escalating potential impacts to regulatory reporting schedules or compliance obligations. Promote Agile best practices, continuous improvement, and servant leadership while ensuring alignment with enterprise governance and delivery standards. Support audit readiness by coordinating documentation, sprint artifacts, traceability, and evidence required for internal audits and regulatory examinations. Ensure delivery activities align with internal controls, SOX requirements, enterprise governance standards, and applicable financial services regulatory reporting obligations. Coordinate post-release reviews, production support activities, and continuous improvement efforts to enhance reporting quality, stability, and delivery performance. Required Qualifications 8+ years of Scrum Master or Agile delivery experience supporting enterprise technology initiatives. 5+ years of banking experience. 5+ years of experience delivering data engagements. Experience leading Agile teams within financial services or banking environments. Knowledge of Agile, Scrum, Kanban, and hybrid delivery methodologies. Experience coordinating cross-functional teams across business and technology organizations. Strong understanding of project planning, sprint management, backlog grooming, and dependency management. Experience using Agile management tools such as Azure DevOps, Jira, or Rally. Excellent facilitation, communication, stakeholder management, and problem-solving skills. Desired Qualifications Experience supporting regulatory reporting, finance, risk, or compliance initiatives. Knowledge of banking regulatory reporting processes, including FR Y-9C, Call Reports, CCAR, CECL, and Basel. Experience supporting large-scale banking conversions or transformation programs. Scrum Master certification, such as CSM, PSM, SAFe Scrum Master, or equivalent. Experience working with distributed and offshore Agile delivery teams. - KB1
Job Description Job Description Job Title: Machine Learning Operations Engineer Location: Dallas, Texas Type: Contract To Hire Compensation: $60.00 - $120,000.00 Work Model: Onsite - onsite Hours: 40.0 Security Clearance: None specified Overview Leave placeholder text here for recruiter to input Responsibilities Optimize and maintain large-scale feature engineering pipelines using PySpark, Pandas, and PyArrow on Hadoop-based infrastructure. Refactor and modularize ML codebases to enhance reusability, maintainability, and performance. Collaborate with platform teams on compute capacity planning, resource allocation, and system upgrades. Integrate with existing model serving frameworks to support testing, deployment, and rollback processes. Monitor and troubleshoot production ML pipelines, ensuring high reliability, low latency, and cost efficiency. Contribute to internal ML platforms by sharing insights, proposing improvements, and documenting best practices. Build near real-time ML pipelines using Kafka and Spark Streaming. Work with AWS and SageMaker MLOps ecosystem. Requirements 6+ years of experience in software engineering, data engineering, or MLOps roles. Strong programming expertise in Python, with hands-on experience in Pandas, PySpark, and PyArrow. Deep understanding of the Hadoop ecosystem, distributed computing, and performance tuning. Experience with CI/CD pipelines and best practices in ML environments. Hands-on experience with monitoring tools for ML pipeline health and performance. Strong collaboration skills with experience working in cross-functional teams (platform, data science, engineering). Experience contributing to or building internal MLOps frameworks/platforms. Familiarity with SLURM clusters or other distributed job schedulers. Exposure to Kafka, Spark Streaming, or other real-time data processing technologies. Understanding of ML lifecycle management, including versioning, deployment, and drift detection. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Pittsburgh
09/28/2026
Full time
Job Description Job Description Job Title: Machine Learning Operations Engineer Location: Dallas, Texas Type: Contract To Hire Compensation: $60.00 - $120,000.00 Work Model: Onsite - onsite Hours: 40.0 Security Clearance: None specified Overview Leave placeholder text here for recruiter to input Responsibilities Optimize and maintain large-scale feature engineering pipelines using PySpark, Pandas, and PyArrow on Hadoop-based infrastructure. Refactor and modularize ML codebases to enhance reusability, maintainability, and performance. Collaborate with platform teams on compute capacity planning, resource allocation, and system upgrades. Integrate with existing model serving frameworks to support testing, deployment, and rollback processes. Monitor and troubleshoot production ML pipelines, ensuring high reliability, low latency, and cost efficiency. Contribute to internal ML platforms by sharing insights, proposing improvements, and documenting best practices. Build near real-time ML pipelines using Kafka and Spark Streaming. Work with AWS and SageMaker MLOps ecosystem. Requirements 6+ years of experience in software engineering, data engineering, or MLOps roles. Strong programming expertise in Python, with hands-on experience in Pandas, PySpark, and PyArrow. Deep understanding of the Hadoop ecosystem, distributed computing, and performance tuning. Experience with CI/CD pipelines and best practices in ML environments. Hands-on experience with monitoring tools for ML pipeline health and performance. Strong collaboration skills with experience working in cross-functional teams (platform, data science, engineering). Experience contributing to or building internal MLOps frameworks/platforms. Familiarity with SLURM clusters or other distributed job schedulers. Exposure to Kafka, Spark Streaming, or other real-time data processing technologies. Understanding of ML lifecycle management, including versioning, deployment, and drift detection. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Pittsburgh
Job Description Job Description Description Technical Lead - Microsoft Technologies (.NET, Azure, Angular, AI) Preference will be given to candidates located in Dallas, TX, New Jersey or New York City metro area who are willing to have an insite interview, and/or work a hybrid schedule. About Hallmark Health Care Solutions At Hallmark Health Care Solutions, what we do and how we do it go hand in hand. We bring a relentless focus to both our products and our people-grounded in curiosity, a bias for action, accountability and ownership, strong judgment, and a willingness to challenge the status quo in pursuit of better outcomes. Hallmark Health Care Solutions is led by passionate experts with an average of 20+ years' experience in IT, nursing, process engineering, finance, and healthcare. We are committed to strengthening communities by producing technologies, support services, and thought leadership that tangibly improve patient care and community health outcomes. Position Summary Seeking a hands-on Technical Lead with strong Microsoft stack, Azure, Angular, and cloud-native application expertise. The ideal candidate will lead teams, design scalable solutions, and drive engineering best practices. Experience with Azure AI, Azure OpenAI, or similar platforms is required. The role combines technical leadership, hands-on development, code reviews, architecture guidance, and mentoring. Key Responsibilities Software Development Design and develop scalable enterprise applications using C#, .NET Core/.NET 8+, ASP.NET Core, and Web APIs. Develop modern, responsive front-end applications using Angular and TypeScript. Build secure RESTful APIs and microservices. Optimize application performance, scalability, and reliability. Troubleshoot complex production issues and provide root cause analysis. Exposure to Basic Azure Cloud & Infrastructure Management and services like AKS, Service Bus, App Insights etc . Design and implement authentication and authorization using Microsoft Entra ID (Azure AD) and Azure AD B2C (Microsoft Entra External ID). Candidate should have practical experience implementing AI solutions, Should have exposure to Database design & Performance optimization AI Solution Design & Delivery Understand business problems and translate them into scalable AI/ML and Generative AI solutions. Design, develop, and deploy enterprise-grade AI systems with a strong focus on reliability, scalability, monitoring, and measurable outcomes. Lead or contribute to multiple AI initiatives simultaneously while coordinating with engineering leads, product managers, architects, and offshore teams. Technical Leadership Lead one or more Agile development teams delivering enterprise SaaS applications. Provide technical direction and architectural guidance throughout the software development lifecycle. Establish and enforce coding standards, design principles, and development best practices. Conduct thorough code reviews and ensure high-quality, maintainable code. Mentor developers and help improve their technical capabilities. Participate in sprint planning, backlog refinement, estimation, and technical design discussions. Drive engineering excellence through automation, quality, and continuous improvement. Candidate will be working closely with Product Managers, Architects, QA Engineers, DevOps Engineers, and Business Analysts. Skills, Knowledge & Expertise Required Qualifications Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience). 8+ years of software development experience using Microsoft technologies. 3+ years leading engineering teams or serving as a Technical Lead Expert-level proficiency in: C# .NET Core / .NET 6/7/8 ASP.NET Core Web APIs Entity Framework Core SQL Server Strong experience with Angular (v12+) and TypeScript. 2+ years of software engineering experience with at least 3+ years focused on AI/ML and Generative AI initiatives. Strong hands-on experience building and deploying production AI systems. Experience delivering AI initiatives independently in enterprise environments. Strong understanding of LLMs, Agentic AI architectures, and RAG systems. Extensive experience designing and developing cloud-native applications on Microsoft Azure. Strong understanding of Microservices Architecture and Domain-Driven Design (DDD). Experience implementing CI/CD pipelines using Azure DevOps or GitHub Actions. Strong knowledge of Azure AD, Azure AD B2C (Microsoft Entra External ID), OAuth 2.0, and JWT. Excellent debugging, troubleshooting, and performance optimization skills. Experience conducting technical design reviews and code reviews. Job Benefits Medical, Dental, and Vision Insurance with Employee Premiums Covered by HHCS at 100% and Company Cost Share for any Dependents Enrolled $3000 Annual Company Contributions to HSAs for all Employees Enrolled in the HSA Eligible Health Plan Unlimited Paid Time Off Pre-Tax and Roth 401(K) Retirement Options On-Site Gym, Free Parking, and Provided Lunches 3 Times per Week in the Dallas Office! Hallmark Health Care Solutions, Inc is an Equal Opportunity Employer. All employment decisions are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex, age, physical, mental or sensory disability, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. HHCS reserves the right to amend the job description, duties or qualifications based on company needs. By applying to Hallmark Health Care Solutions, your application and all supplemental information is subject to our Privacy Policy. When clicking "Apply", you will be redirected to our Applicant Tracking System, Pinpoint.
09/28/2026
Full time
Job Description Job Description Description Technical Lead - Microsoft Technologies (.NET, Azure, Angular, AI) Preference will be given to candidates located in Dallas, TX, New Jersey or New York City metro area who are willing to have an insite interview, and/or work a hybrid schedule. About Hallmark Health Care Solutions At Hallmark Health Care Solutions, what we do and how we do it go hand in hand. We bring a relentless focus to both our products and our people-grounded in curiosity, a bias for action, accountability and ownership, strong judgment, and a willingness to challenge the status quo in pursuit of better outcomes. Hallmark Health Care Solutions is led by passionate experts with an average of 20+ years' experience in IT, nursing, process engineering, finance, and healthcare. We are committed to strengthening communities by producing technologies, support services, and thought leadership that tangibly improve patient care and community health outcomes. Position Summary Seeking a hands-on Technical Lead with strong Microsoft stack, Azure, Angular, and cloud-native application expertise. The ideal candidate will lead teams, design scalable solutions, and drive engineering best practices. Experience with Azure AI, Azure OpenAI, or similar platforms is required. The role combines technical leadership, hands-on development, code reviews, architecture guidance, and mentoring. Key Responsibilities Software Development Design and develop scalable enterprise applications using C#, .NET Core/.NET 8+, ASP.NET Core, and Web APIs. Develop modern, responsive front-end applications using Angular and TypeScript. Build secure RESTful APIs and microservices. Optimize application performance, scalability, and reliability. Troubleshoot complex production issues and provide root cause analysis. Exposure to Basic Azure Cloud & Infrastructure Management and services like AKS, Service Bus, App Insights etc . Design and implement authentication and authorization using Microsoft Entra ID (Azure AD) and Azure AD B2C (Microsoft Entra External ID). Candidate should have practical experience implementing AI solutions, Should have exposure to Database design & Performance optimization AI Solution Design & Delivery Understand business problems and translate them into scalable AI/ML and Generative AI solutions. Design, develop, and deploy enterprise-grade AI systems with a strong focus on reliability, scalability, monitoring, and measurable outcomes. Lead or contribute to multiple AI initiatives simultaneously while coordinating with engineering leads, product managers, architects, and offshore teams. Technical Leadership Lead one or more Agile development teams delivering enterprise SaaS applications. Provide technical direction and architectural guidance throughout the software development lifecycle. Establish and enforce coding standards, design principles, and development best practices. Conduct thorough code reviews and ensure high-quality, maintainable code. Mentor developers and help improve their technical capabilities. Participate in sprint planning, backlog refinement, estimation, and technical design discussions. Drive engineering excellence through automation, quality, and continuous improvement. Candidate will be working closely with Product Managers, Architects, QA Engineers, DevOps Engineers, and Business Analysts. Skills, Knowledge & Expertise Required Qualifications Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience). 8+ years of software development experience using Microsoft technologies. 3+ years leading engineering teams or serving as a Technical Lead Expert-level proficiency in: C# .NET Core / .NET 6/7/8 ASP.NET Core Web APIs Entity Framework Core SQL Server Strong experience with Angular (v12+) and TypeScript. 2+ years of software engineering experience with at least 3+ years focused on AI/ML and Generative AI initiatives. Strong hands-on experience building and deploying production AI systems. Experience delivering AI initiatives independently in enterprise environments. Strong understanding of LLMs, Agentic AI architectures, and RAG systems. Extensive experience designing and developing cloud-native applications on Microsoft Azure. Strong understanding of Microservices Architecture and Domain-Driven Design (DDD). Experience implementing CI/CD pipelines using Azure DevOps or GitHub Actions. Strong knowledge of Azure AD, Azure AD B2C (Microsoft Entra External ID), OAuth 2.0, and JWT. Excellent debugging, troubleshooting, and performance optimization skills. Experience conducting technical design reviews and code reviews. Job Benefits Medical, Dental, and Vision Insurance with Employee Premiums Covered by HHCS at 100% and Company Cost Share for any Dependents Enrolled $3000 Annual Company Contributions to HSAs for all Employees Enrolled in the HSA Eligible Health Plan Unlimited Paid Time Off Pre-Tax and Roth 401(K) Retirement Options On-Site Gym, Free Parking, and Provided Lunches 3 Times per Week in the Dallas Office! Hallmark Health Care Solutions, Inc is an Equal Opportunity Employer. All employment decisions are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex, age, physical, mental or sensory disability, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. HHCS reserves the right to amend the job description, duties or qualifications based on company needs. By applying to Hallmark Health Care Solutions, your application and all supplemental information is subject to our Privacy Policy. When clicking "Apply", you will be redirected to our Applicant Tracking System, Pinpoint.
Job Description Job Description Job Title: AV Technician Location: Washington, DC Type: Contract Compensation: $36.80 Work Model: Onsite - onsite Hours: 40.0 Security Clearance: Ability to obtain and maintain SEC Public Trust (or higher if required) Responsibilities Proactively inspect, configure, and maintain AV/VTC equipment in meeting rooms, auditoriums, and multipurpose rooms. Manage deployment, setup, and relocation of AV/VTC components to support operational and event requirements. Troubleshoot front-end AV/VTC hardware and software issues and restore services with minimal disruption. Perform routine readiness checks to ensure monitors, microphones, conference phones, and related room systems remain fully operational. Provide user-facing support for collaboration tools, including Webex and Microsoft Teams. Field and resolve user questions on AV/VTC usage, meeting startup, content sharing, and audio/video performance. Support conference and hybrid meeting connectivity and coordinate escalations for unresolved issues. Communicate service updates and usage guidance to end users to improve collaboration outcomes. Support production of live events, including town halls, commission meetings, and other high-visibility sessions. Execute live video/audio support activities and assist with webcast or streaming operations. Coordinate with internal stakeholders and third-party providers for services such as captioning and interpretation support. Perform post-production editing for recorded events and deliver high-quality final media outputs. Conduct training sessions on selection, use, and design of audiovisual materials and presentation equipment. Develop manuals, workbooks, and user-facing reference materials to support AV/VTC operations. Create practical job aids for common room technologies and collaboration workflows. Capture recurring issues and recommend process improvements to strengthen AV/VTC service delivery. Requirements Minimum of 5 years of experience providing front-end AV/VTC support in enterprise or government environments. Hands-on experience managing, deploying, and troubleshooting AV/VTC equipment. Demonstrated skills and knowledge to operate AV/VTC systems, including live broadcasts and post-production editing. Education: Bachelor's degree in a relevant field (e.g., Information Technology, Computer Science, Engineering). Technical Skills: AV/VTC system operation and troubleshooting across conference rooms, auditoriums, and multipurpose spaces. Webex and Microsoft Teams support for meetings and collaboration. Live broadcast, streaming/webcast support, and post-production video editing. End-user training delivery and development of manuals, texts, and workbooks. Preventive AV equipment management, issue triage, and service restoration. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref:
09/28/2026
Full time
Job Description Job Description Job Title: AV Technician Location: Washington, DC Type: Contract Compensation: $36.80 Work Model: Onsite - onsite Hours: 40.0 Security Clearance: Ability to obtain and maintain SEC Public Trust (or higher if required) Responsibilities Proactively inspect, configure, and maintain AV/VTC equipment in meeting rooms, auditoriums, and multipurpose rooms. Manage deployment, setup, and relocation of AV/VTC components to support operational and event requirements. Troubleshoot front-end AV/VTC hardware and software issues and restore services with minimal disruption. Perform routine readiness checks to ensure monitors, microphones, conference phones, and related room systems remain fully operational. Provide user-facing support for collaboration tools, including Webex and Microsoft Teams. Field and resolve user questions on AV/VTC usage, meeting startup, content sharing, and audio/video performance. Support conference and hybrid meeting connectivity and coordinate escalations for unresolved issues. Communicate service updates and usage guidance to end users to improve collaboration outcomes. Support production of live events, including town halls, commission meetings, and other high-visibility sessions. Execute live video/audio support activities and assist with webcast or streaming operations. Coordinate with internal stakeholders and third-party providers for services such as captioning and interpretation support. Perform post-production editing for recorded events and deliver high-quality final media outputs. Conduct training sessions on selection, use, and design of audiovisual materials and presentation equipment. Develop manuals, workbooks, and user-facing reference materials to support AV/VTC operations. Create practical job aids for common room technologies and collaboration workflows. Capture recurring issues and recommend process improvements to strengthen AV/VTC service delivery. Requirements Minimum of 5 years of experience providing front-end AV/VTC support in enterprise or government environments. Hands-on experience managing, deploying, and troubleshooting AV/VTC equipment. Demonstrated skills and knowledge to operate AV/VTC systems, including live broadcasts and post-production editing. Education: Bachelor's degree in a relevant field (e.g., Information Technology, Computer Science, Engineering). Technical Skills: AV/VTC system operation and troubleshooting across conference rooms, auditoriums, and multipurpose spaces. Webex and Microsoft Teams support for meetings and collaboration. Live broadcast, streaming/webcast support, and post-production video editing. End-user training delivery and development of manuals, texts, and workbooks. Preventive AV equipment management, issue triage, and service restoration. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref:
Senior Staff AI Engineer - Agentic AI Platform (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. Capital One is open to hiring a Remote Employee for this opportunity What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Define and steer the technical AI architecture vision, integrating applied research breakthroughs into production ecosystems with reliability and scale Lead the establishment of AI performance, safety, and transparency standards that guide all model development and deployment company-wide Drive multi-year platform initiatives that unify data, compute and model lifecycle management under and cohesive enterprise AI architecture Mentor senior technical leaders across research, data and engineering disciplines, developing the next generation of Capital One's AI technical leadership Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy 9+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Recognized industry leader in applied AI or machine learning infrastructure through patents, publications, or open-source leadership Demonstrated experience designing long-term AI infrastructure strategies - balancing cost, scale, ethics and regulatory compliance Experience driving organization-wide adoption of AI safety, alignment and governance standards, collaborating with policy, risk and legal teams Proven ability to shape R&D investment strategy by identifying breakthrough AI capabilities with material business impact Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Staff AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Staff AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Staff AI Engineer New York, NY: $343,400 - $392,000 for Sr. Staff AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Staff AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Staff AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
09/28/2026
Full time
Senior Staff AI Engineer - Agentic AI Platform (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. Capital One is open to hiring a Remote Employee for this opportunity What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Define and steer the technical AI architecture vision, integrating applied research breakthroughs into production ecosystems with reliability and scale Lead the establishment of AI performance, safety, and transparency standards that guide all model development and deployment company-wide Drive multi-year platform initiatives that unify data, compute and model lifecycle management under and cohesive enterprise AI architecture Mentor senior technical leaders across research, data and engineering disciplines, developing the next generation of Capital One's AI technical leadership Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy 9+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Recognized industry leader in applied AI or machine learning infrastructure through patents, publications, or open-source leadership Demonstrated experience designing long-term AI infrastructure strategies - balancing cost, scale, ethics and regulatory compliance Experience driving organization-wide adoption of AI safety, alignment and governance standards, collaborating with policy, risk and legal teams Proven ability to shape R&D investment strategy by identifying breakthrough AI capabilities with material business impact Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Staff AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Staff AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Staff AI Engineer New York, NY: $343,400 - $392,000 for Sr. Staff AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Staff AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Staff AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. Key Responsibilities Lead architecture review board reviews and provide architectural guidance for enterprise technology initiatives. Partner with application, infrastructure, security, cloud, and operations teams to evaluate solution designs and technology decisions. Identify architectural, operational, security, and supportability risks and provide recommendations for mitigation. Consult with project teams throughout the solution lifecycle, from initial design through implementation and operational transition. Develop and maintain technology standards, architectural patterns, and governance processes. Evaluate emerging technologies and provide recommendations on adoption and enterprise fit. Review proposed architectures for scalability, reliability, maintainability, and alignment with enterprise objectives. Build strong partnerships with technical and business stakeholders and serve as a trusted advisor on technology decisions. Prepare and present architectural recommendations, readiness assessments, and governance findings to leadership and governance forums. Required Qualifications Bachelor's degree in Information Technology, Computer Science, Engineering, or equivalent experience. 10+ years of experience in enterprise architecture, solution architecture, engineering, infrastructure, or related technology roles. Experience leading architecture reviews and guiding technical decision-making across diverse technology domains. Strong understanding of application architecture, cloud platforms, integrations, security, infrastructure, and operational support models. Experience working directly with delivery teams, engineering teams, and technology leadership. Demonstrated ability to influence decisions and drive consensus across technical and business stakeholders. Excellent communication, facilitation, and presentation skills. Ability to balance governance requirements with practical delivery needs. Demonstrated hands-on experience with emerging AI technologies and ability to apply them to real-world challenges Preferred Qualifications Experience participating in or leading architecture review boards or similar governance processes. Experience supporting production readiness, operational readiness, deployment governance, or service transition activities. Experience with cloud platforms, DevOps practices, enterprise integrations, and observability/monitoring solutions. Experience in large, complex enterprise environments, especially healthcare or medical distribution Experience with large-scale distribution, supply chain, logistics, fulfillment, or e-commerce platforms. Experience with Google Cloud Platform, Kubernetes, IaC/Terraform Knowledge of IT operational processes including incident, change, problem, and service management. Experience creating technology standards, reference architectures, and architectural guidance. Experience working within regulated or highly governed environments. About McKesson Medical-Surgical McKesson Medical-Surgical (MMS), which is expected to become Wellverse in early 2027, is a subsidiary and publicly reported segment of the McKesson Corporation. MMS distributes medical-surgical supplies, pharmaceuticals, diagnostic equipment and supplies, along with other solutions and services to virtually every type of healthcare setting and provider outside of the traditional hospital. These markets - often referred to as Alternate Care or Non-Acute Care - include physician offices, surgery centers, long-term care providers, laboratories, home health and hospice agencies, health systems, government facilities and online marketplaces and retailers. Alternate Care markets are growing rapidly and MMS is proud to be a leader in this space. With a team of approximately 8,000 employees, a network of 15 distribution centers and approximately 900 delivery vehicles, we collaborate with more than 2,200 leading manufacturers and serve over 200,000 customer accounts across the U.S. Our catalog includes more than 270,000 SKUs of branded and private-label medical-surgical products - from bandages to specialty pharmaceuticals and COVID-19 tests. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $178,500 - $297,500 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!
09/28/2026
Full time
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. Key Responsibilities Lead architecture review board reviews and provide architectural guidance for enterprise technology initiatives. Partner with application, infrastructure, security, cloud, and operations teams to evaluate solution designs and technology decisions. Identify architectural, operational, security, and supportability risks and provide recommendations for mitigation. Consult with project teams throughout the solution lifecycle, from initial design through implementation and operational transition. Develop and maintain technology standards, architectural patterns, and governance processes. Evaluate emerging technologies and provide recommendations on adoption and enterprise fit. Review proposed architectures for scalability, reliability, maintainability, and alignment with enterprise objectives. Build strong partnerships with technical and business stakeholders and serve as a trusted advisor on technology decisions. Prepare and present architectural recommendations, readiness assessments, and governance findings to leadership and governance forums. Required Qualifications Bachelor's degree in Information Technology, Computer Science, Engineering, or equivalent experience. 10+ years of experience in enterprise architecture, solution architecture, engineering, infrastructure, or related technology roles. Experience leading architecture reviews and guiding technical decision-making across diverse technology domains. Strong understanding of application architecture, cloud platforms, integrations, security, infrastructure, and operational support models. Experience working directly with delivery teams, engineering teams, and technology leadership. Demonstrated ability to influence decisions and drive consensus across technical and business stakeholders. Excellent communication, facilitation, and presentation skills. Ability to balance governance requirements with practical delivery needs. Demonstrated hands-on experience with emerging AI technologies and ability to apply them to real-world challenges Preferred Qualifications Experience participating in or leading architecture review boards or similar governance processes. Experience supporting production readiness, operational readiness, deployment governance, or service transition activities. Experience with cloud platforms, DevOps practices, enterprise integrations, and observability/monitoring solutions. Experience in large, complex enterprise environments, especially healthcare or medical distribution Experience with large-scale distribution, supply chain, logistics, fulfillment, or e-commerce platforms. Experience with Google Cloud Platform, Kubernetes, IaC/Terraform Knowledge of IT operational processes including incident, change, problem, and service management. Experience creating technology standards, reference architectures, and architectural guidance. Experience working within regulated or highly governed environments. About McKesson Medical-Surgical McKesson Medical-Surgical (MMS), which is expected to become Wellverse in early 2027, is a subsidiary and publicly reported segment of the McKesson Corporation. MMS distributes medical-surgical supplies, pharmaceuticals, diagnostic equipment and supplies, along with other solutions and services to virtually every type of healthcare setting and provider outside of the traditional hospital. These markets - often referred to as Alternate Care or Non-Acute Care - include physician offices, surgery centers, long-term care providers, laboratories, home health and hospice agencies, health systems, government facilities and online marketplaces and retailers. Alternate Care markets are growing rapidly and MMS is proud to be a leader in this space. With a team of approximately 8,000 employees, a network of 15 distribution centers and approximately 900 delivery vehicles, we collaborate with more than 2,200 leading manufacturers and serve over 200,000 customer accounts across the U.S. Our catalog includes more than 270,000 SKUs of branded and private-label medical-surgical products - from bandages to specialty pharmaceuticals and COVID-19 tests. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $178,500 - $297,500 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. Key Responsibilities Lead architecture review board reviews and provide architectural guidance for enterprise technology initiatives. Partner with application, infrastructure, security, cloud, and operations teams to evaluate solution designs and technology decisions. Identify architectural, operational, security, and supportability risks and provide recommendations for mitigation. Consult with project teams throughout the solution lifecycle, from initial design through implementation and operational transition. Develop and maintain technology standards, architectural patterns, and governance processes. Evaluate emerging technologies and provide recommendations on adoption and enterprise fit. Review proposed architectures for scalability, reliability, maintainability, and alignment with enterprise objectives. Build strong partnerships with technical and business stakeholders and serve as a trusted advisor on technology decisions. Prepare and present architectural recommendations, readiness assessments, and governance findings to leadership and governance forums. Required Qualifications Bachelor's degree in Information Technology, Computer Science, Engineering, or equivalent experience. 10+ years of experience in enterprise architecture, solution architecture, engineering, infrastructure, or related technology roles. Experience leading architecture reviews and guiding technical decision-making across diverse technology domains. Strong understanding of application architecture, cloud platforms, integrations, security, infrastructure, and operational support models. Experience working directly with delivery teams, engineering teams, and technology leadership. Demonstrated ability to influence decisions and drive consensus across technical and business stakeholders. Excellent communication, facilitation, and presentation skills. Ability to balance governance requirements with practical delivery needs. Demonstrated hands-on experience with emerging AI technologies and ability to apply them to real-world challenges Preferred Qualifications Experience participating in or leading architecture review boards or similar governance processes. Experience supporting production readiness, operational readiness, deployment governance, or service transition activities. Experience with cloud platforms, DevOps practices, enterprise integrations, and observability/monitoring solutions. Experience in large, complex enterprise environments, especially healthcare or medical distribution Experience with large-scale distribution, supply chain, logistics, fulfillment, or e-commerce platforms. Experience with Google Cloud Platform, Kubernetes, IaC/Terraform Knowledge of IT operational processes including incident, change, problem, and service management. Experience creating technology standards, reference architectures, and architectural guidance. Experience working within regulated or highly governed environments. About McKesson Medical-Surgical McKesson Medical-Surgical (MMS), which is expected to become Wellverse in early 2027, is a subsidiary and publicly reported segment of the McKesson Corporation. MMS distributes medical-surgical supplies, pharmaceuticals, diagnostic equipment and supplies, along with other solutions and services to virtually every type of healthcare setting and provider outside of the traditional hospital. These markets - often referred to as Alternate Care or Non-Acute Care - include physician offices, surgery centers, long-term care providers, laboratories, home health and hospice agencies, health systems, government facilities and online marketplaces and retailers. Alternate Care markets are growing rapidly and MMS is proud to be a leader in this space. With a team of approximately 8,000 employees, a network of 15 distribution centers and approximately 900 delivery vehicles, we collaborate with more than 2,200 leading manufacturers and serve over 200,000 customer accounts across the U.S. Our catalog includes more than 270,000 SKUs of branded and private-label medical-surgical products - from bandages to specialty pharmaceuticals and COVID-19 tests. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $178,500 - $297,500 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!
09/28/2026
Full time
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. Key Responsibilities Lead architecture review board reviews and provide architectural guidance for enterprise technology initiatives. Partner with application, infrastructure, security, cloud, and operations teams to evaluate solution designs and technology decisions. Identify architectural, operational, security, and supportability risks and provide recommendations for mitigation. Consult with project teams throughout the solution lifecycle, from initial design through implementation and operational transition. Develop and maintain technology standards, architectural patterns, and governance processes. Evaluate emerging technologies and provide recommendations on adoption and enterprise fit. Review proposed architectures for scalability, reliability, maintainability, and alignment with enterprise objectives. Build strong partnerships with technical and business stakeholders and serve as a trusted advisor on technology decisions. Prepare and present architectural recommendations, readiness assessments, and governance findings to leadership and governance forums. Required Qualifications Bachelor's degree in Information Technology, Computer Science, Engineering, or equivalent experience. 10+ years of experience in enterprise architecture, solution architecture, engineering, infrastructure, or related technology roles. Experience leading architecture reviews and guiding technical decision-making across diverse technology domains. Strong understanding of application architecture, cloud platforms, integrations, security, infrastructure, and operational support models. Experience working directly with delivery teams, engineering teams, and technology leadership. Demonstrated ability to influence decisions and drive consensus across technical and business stakeholders. Excellent communication, facilitation, and presentation skills. Ability to balance governance requirements with practical delivery needs. Demonstrated hands-on experience with emerging AI technologies and ability to apply them to real-world challenges Preferred Qualifications Experience participating in or leading architecture review boards or similar governance processes. Experience supporting production readiness, operational readiness, deployment governance, or service transition activities. Experience with cloud platforms, DevOps practices, enterprise integrations, and observability/monitoring solutions. Experience in large, complex enterprise environments, especially healthcare or medical distribution Experience with large-scale distribution, supply chain, logistics, fulfillment, or e-commerce platforms. Experience with Google Cloud Platform, Kubernetes, IaC/Terraform Knowledge of IT operational processes including incident, change, problem, and service management. Experience creating technology standards, reference architectures, and architectural guidance. Experience working within regulated or highly governed environments. About McKesson Medical-Surgical McKesson Medical-Surgical (MMS), which is expected to become Wellverse in early 2027, is a subsidiary and publicly reported segment of the McKesson Corporation. MMS distributes medical-surgical supplies, pharmaceuticals, diagnostic equipment and supplies, along with other solutions and services to virtually every type of healthcare setting and provider outside of the traditional hospital. These markets - often referred to as Alternate Care or Non-Acute Care - include physician offices, surgery centers, long-term care providers, laboratories, home health and hospice agencies, health systems, government facilities and online marketplaces and retailers. Alternate Care markets are growing rapidly and MMS is proud to be a leader in this space. With a team of approximately 8,000 employees, a network of 15 distribution centers and approximately 900 delivery vehicles, we collaborate with more than 2,200 leading manufacturers and serve over 200,000 customer accounts across the U.S. Our catalog includes more than 270,000 SKUs of branded and private-label medical-surgical products - from bandages to specialty pharmaceuticals and COVID-19 tests. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $178,500 - $297,500 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!
Senior Staff AI Engineer - Agentic AI Platform (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. Capital One is open to hiring a Remote Employee for this opportunity What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Define and steer the technical AI architecture vision, integrating applied research breakthroughs into production ecosystems with reliability and scale Lead the establishment of AI performance, safety, and transparency standards that guide all model development and deployment company-wide Drive multi-year platform initiatives that unify data, compute and model lifecycle management under and cohesive enterprise AI architecture Mentor senior technical leaders across research, data and engineering disciplines, developing the next generation of Capital One's AI technical leadership Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy 9+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Recognized industry leader in applied AI or machine learning infrastructure through patents, publications, or open-source leadership Demonstrated experience designing long-term AI infrastructure strategies - balancing cost, scale, ethics and regulatory compliance Experience driving organization-wide adoption of AI safety, alignment and governance standards, collaborating with policy, risk and legal teams Proven ability to shape R&D investment strategy by identifying breakthrough AI capabilities with material business impact Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Staff AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Staff AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Staff AI Engineer New York, NY: $343,400 - $392,000 for Sr. Staff AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Staff AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Staff AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
09/28/2026
Full time
Senior Staff AI Engineer - Agentic AI Platform (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. Capital One is open to hiring a Remote Employee for this opportunity What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Define and steer the technical AI architecture vision, integrating applied research breakthroughs into production ecosystems with reliability and scale Lead the establishment of AI performance, safety, and transparency standards that guide all model development and deployment company-wide Drive multi-year platform initiatives that unify data, compute and model lifecycle management under and cohesive enterprise AI architecture Mentor senior technical leaders across research, data and engineering disciplines, developing the next generation of Capital One's AI technical leadership Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput and accuracy 9+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Recognized industry leader in applied AI or machine learning infrastructure through patents, publications, or open-source leadership Demonstrated experience designing long-term AI infrastructure strategies - balancing cost, scale, ethics and regulatory compliance Experience driving organization-wide adoption of AI safety, alignment and governance standards, collaborating with policy, risk and legal teams Proven ability to shape R&D investment strategy by identifying breakthrough AI capabilities with material business impact Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Staff AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Staff AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Staff AI Engineer New York, NY: $343,400 - $392,000 for Sr. Staff AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Staff AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Staff AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Join Northrop Grumman on our continued mission to push the boundaries of possible across land, sea, air, space, and cyberspace. Enjoy a culture where your voice is valued and start contributing to our team of passionate professionals providing real-life solutions to our world's biggest challenges. We take pride in creating purposeful work and allowing our employees to grow and achieve their goals every day by Defining Possible. With our competitive pay and comprehensive benefits, we have the right opportunities to fit your life and launch your career today. Northrop Grumman Defense Systems is seeking a System States and Controls Capability Lead (Staff Systems Engineer - Level 5) to join the team located in Roy UT, Bellevue NE, Huntsville, AL or Manhattan Beach, CA in support of the Sentinel program. Northrop Grumman supports the Air Force's sustainment, development, production and deployment of hardware and system modifications for Intercontinental Ballistic Missile (ICBM,) Ground and Airborne Launch Control Systems, Launch Facilities, and associated infrastructure. What you will get to do: The Sentinel program has an exciting opportunity for a System States & Controls Capability Lead Staff Systems Engineer (Level 5) to join the Command Systems team leading activities including requirements definition / allocation, functional decomposition, interface definition, verification & validation, and requirements traceability across the ground segment of the Sentinel Weapon System. Specific duties to include, but are not limited to the following: Lead a small team of systems engineers to develop systems engineering artifacts across wing-wide maintenance, operations, initialize, fault detection, and shutdown capabilities Work with both technical teams and stakeholders to develop and mature off-nominal system use cases and states deriving full-scope functionality for the wing and preliminary product selection and development Help develop and incorporate the appropriate requirements for the system and ensure that they are properly represented in the model. Develop systems architecture using Cameo Enterprise Architecture (behavioral, structural, analytical). Contribute to system requirements development, management, and analysis. Develop unifying model techniques, procedures, and processes (for model development, tool integration, and team integration). Basic Qualifications: Bachelor's degree in STEM (Science, Technology, Engineering, and Mathematics) with 12 years of experience; or master's degree with 10 years of experience; or PhD with 8 years of experience Must be a US Citizen with an active DoD Secret Clearance, at time of application, current and within scope, with an investigation date within the last 6 years. Must have the ability to obtain Special Access Program (SAP) approval within a reasonable period, as determined by the company to meet its business needs. 4 years of experience with requirements management/analysis/allocations 3 years of experience with Model-Based Engineering / Model-Based Systems Engineering (MBE/MBSE) practices, languages and/or tools such as Cameo, Rhapsody or MagicDraw 5 years of experience with one or more of the following: Command & Control (C2), physical security, cybersecurity, Nuclear Command, Control, and Communications (NC3) systems/processes, communications systems, facility design, military aerospace development (e.g. Sentinel, Minute Man III, B-2, B-21 delivery systems) Preferred Qualifications: Active DoD Top Secret Clearance Demonstrated understanding of the Systems Engineering Vee Model 3+ years of experience in model-based systems engineering; thread-based system decomposition, requirements engineering, system modeling in SysML Experience in documenting Interface Control Documents, Interface Requirement Specifications, and Interface Description Documents Understanding of Object-Oriented Systems Engineering Methodology and systems thinking Excellent collaboration skills and experience working across product, design, and systems engineering teams with various stakeholder communities Proven technical leadership in designing, modeling, and verifying complex, hierarchical State Machines for distributed, real-time command and control architectures. This includes defining clear, deterministic state transitions for critical mission sequences (e.g., Power-On, Daily Monitoring, Targeting/Planning, Countdown, Launch, Abort, and Shutdown) Extensive experience developing automated FDIR frameworks and Built-In Test (BIT) strategies (Periodic, Initiated, and Continuous) for high-consequence systems. This includes leveraging fault-tree analysis to design algorithms that isolate anomalous behavior down to the specific LRU or software. Demonstrated understanding of the systematic challenges of distributed system synchronization - specifically how a network of geographically separated ground nodes initially coordinates clocks, shares state telemetry, loads cryptographic keys, and handles simultaneous, secure shutdowns Experience with ICBM weapon system engineering and integration Experience with complex system development on large programs As a full-time employee of Northrop Grumman, you are eligible for our robust benefits package including: - Medical, Dental & Vision coverage - 401k - Educational Assistance - Life Insurance - Employee Assistance Programs & Work/Life Solutions - Paid Time Off - Health & Wellness Resources - Employee Discounts This position's standard work schedule is 9/80. The 9/80 schedule allows employees who work a nine-hour day Monday through Thursday to take every other Friday off. Primary Level Salary Range: $152,900.00 - $229,300.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
09/28/2026
Full time
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Join Northrop Grumman on our continued mission to push the boundaries of possible across land, sea, air, space, and cyberspace. Enjoy a culture where your voice is valued and start contributing to our team of passionate professionals providing real-life solutions to our world's biggest challenges. We take pride in creating purposeful work and allowing our employees to grow and achieve their goals every day by Defining Possible. With our competitive pay and comprehensive benefits, we have the right opportunities to fit your life and launch your career today. Northrop Grumman Defense Systems is seeking a System States and Controls Capability Lead (Staff Systems Engineer - Level 5) to join the team located in Roy UT, Bellevue NE, Huntsville, AL or Manhattan Beach, CA in support of the Sentinel program. Northrop Grumman supports the Air Force's sustainment, development, production and deployment of hardware and system modifications for Intercontinental Ballistic Missile (ICBM,) Ground and Airborne Launch Control Systems, Launch Facilities, and associated infrastructure. What you will get to do: The Sentinel program has an exciting opportunity for a System States & Controls Capability Lead Staff Systems Engineer (Level 5) to join the Command Systems team leading activities including requirements definition / allocation, functional decomposition, interface definition, verification & validation, and requirements traceability across the ground segment of the Sentinel Weapon System. Specific duties to include, but are not limited to the following: Lead a small team of systems engineers to develop systems engineering artifacts across wing-wide maintenance, operations, initialize, fault detection, and shutdown capabilities Work with both technical teams and stakeholders to develop and mature off-nominal system use cases and states deriving full-scope functionality for the wing and preliminary product selection and development Help develop and incorporate the appropriate requirements for the system and ensure that they are properly represented in the model. Develop systems architecture using Cameo Enterprise Architecture (behavioral, structural, analytical). Contribute to system requirements development, management, and analysis. Develop unifying model techniques, procedures, and processes (for model development, tool integration, and team integration). Basic Qualifications: Bachelor's degree in STEM (Science, Technology, Engineering, and Mathematics) with 12 years of experience; or master's degree with 10 years of experience; or PhD with 8 years of experience Must be a US Citizen with an active DoD Secret Clearance, at time of application, current and within scope, with an investigation date within the last 6 years. Must have the ability to obtain Special Access Program (SAP) approval within a reasonable period, as determined by the company to meet its business needs. 4 years of experience with requirements management/analysis/allocations 3 years of experience with Model-Based Engineering / Model-Based Systems Engineering (MBE/MBSE) practices, languages and/or tools such as Cameo, Rhapsody or MagicDraw 5 years of experience with one or more of the following: Command & Control (C2), physical security, cybersecurity, Nuclear Command, Control, and Communications (NC3) systems/processes, communications systems, facility design, military aerospace development (e.g. Sentinel, Minute Man III, B-2, B-21 delivery systems) Preferred Qualifications: Active DoD Top Secret Clearance Demonstrated understanding of the Systems Engineering Vee Model 3+ years of experience in model-based systems engineering; thread-based system decomposition, requirements engineering, system modeling in SysML Experience in documenting Interface Control Documents, Interface Requirement Specifications, and Interface Description Documents Understanding of Object-Oriented Systems Engineering Methodology and systems thinking Excellent collaboration skills and experience working across product, design, and systems engineering teams with various stakeholder communities Proven technical leadership in designing, modeling, and verifying complex, hierarchical State Machines for distributed, real-time command and control architectures. This includes defining clear, deterministic state transitions for critical mission sequences (e.g., Power-On, Daily Monitoring, Targeting/Planning, Countdown, Launch, Abort, and Shutdown) Extensive experience developing automated FDIR frameworks and Built-In Test (BIT) strategies (Periodic, Initiated, and Continuous) for high-consequence systems. This includes leveraging fault-tree analysis to design algorithms that isolate anomalous behavior down to the specific LRU or software. Demonstrated understanding of the systematic challenges of distributed system synchronization - specifically how a network of geographically separated ground nodes initially coordinates clocks, shares state telemetry, loads cryptographic keys, and handles simultaneous, secure shutdowns Experience with ICBM weapon system engineering and integration Experience with complex system development on large programs As a full-time employee of Northrop Grumman, you are eligible for our robust benefits package including: - Medical, Dental & Vision coverage - 401k - Educational Assistance - Life Insurance - Employee Assistance Programs & Work/Life Solutions - Paid Time Off - Health & Wellness Resources - Employee Discounts This position's standard work schedule is 9/80. The 9/80 schedule allows employees who work a nine-hour day Monday through Thursday to take every other Friday off. Primary Level Salary Range: $152,900.00 - $229,300.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
Job Description Job Description Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. Principal ML Platform Engineer Location: Remote (US) Lead the engineering of software that matters - driving AI automation for the world's largest enterprises. About the Team Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do. We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality. By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world. The Opportunity As a Principal Software Engineer, you will serve as a technical linchpin for the team, bringing deep expertise in cloud-native architecture and a track record of influencing engineering direction beyond your immediate scope. Equipped with cutting-edge AI tooling, you will drive the design and delivery of high-complexity engineering solutions, set the technical bar for the team, and lead other engineers towards solutions of real complexity to ensure flawless Enterprise-Grade Orchestration. What You'll Do Develop Clean Software: Architect, build, and optimize high-performance software systems while maintaining a strong personal technical presence on the team. Lead Platform Modernization: Spearhead strategic technological changes and champion code refactoring efforts to keep the core Appian codebase cutting-edge, modern, and performant. Engineer with AI: Use AI coding tools fluently as a force multiplier: generating, reviewing, and critically evaluating AI-assisted code to ship faster without compromising quality or correctness. Lead Architecture & Delivery: Drive technical story breakdowns, acceptance criteria, and architectural design across complex, multi-tier application layers - from feature scoping through implementation. Optimize Performance & Scale: Manage product availability, latency, scalability, and efficiency by engineering deep reliability into our core software systems and performing advanced system tuning. Drive Engineering Excellence: Radiate development best practices across the department, perform meticulous code reviews on design and implementation, and build automation frameworks to prevent problem recurrence. Lead & Grow Engineers: Actively coach and mentor engineers at multiple levels, identify and close skill gaps on the team, and take ownership of accelerating the technical growth of those around you. Influence Technical Documentation: Share your expert domain knowledge regularly across the department, building a reputation as a vital resource and publishing high-quality content to Engineering's permanent documentation site. Required Qualifications Education: Minimum of a Bachelor of Science degree in Computer Science or a related technical/analytical discipline. (Equivalent experience is not accepted in lieu of a degree). Experience: 10+ years of relevant software development experience with a BS (or 8+ years of experience paired with a Master of Science in Computer Science or related field). Technical Mastery: Expert coding, scripting, and debugging proficiency in one or more core enterprise programming languages, specifically Java, Python, or Go. Domain Expertise: Deep working knowledge of distributed systems, cloud infrastructure, and the ability to contribute meaningfully at a senior individual contributor level within that space. Cross-Team Influence: Demonstrated ability to drive technical decisions and shape engineering practices beyond a single team or project scope. AI-Augmented Development: Demonstrated experience using AI coding assistants and a strong ability to evaluate, coach others on, and selectively apply AI-generated code in a production engineering context. Production Mastery: Proven experience developing, optimizing, and maintaining a high-volume, mission-critical production service environment. Communication & Alignment: Exceptional ability to communicate highly technical architectures verbally, visually, and in writing to diverse engineering audiences. Preferred Qualifications Cloud Architecture: Strong experience designing microservices, working with containerization (Docker, Kubernetes), and implementing modern CI/CD pipelines. Cloud Platforms: Deep experience developing and operating infrastructure across public cloud ecosystems, specifically AWS, Azure, and/or GCP. We value experience with enterprise platforms such as Salesforce or ServiceNow, as these skills translate well into our Enterprise-Grade Orchestration environment. What We Equip You With High-Impact Autonomy: A leadership environment where you will have real ownership over your team's direction, the latitude to make meaningful decisions, and participation in broader Engineering discussions. New Hire Orientation: A robust onboarding experience designed to integrate you smoothly into our technology, culture, and leadership model so you can show up for your team from day one. Continuous Enablement: Access to premier learning resources and dedicated learning time focused on both your continued technical growth and your evolution as an engineering leader. Sponsored Certifications: Full corporate sponsorship for professional technical certifications to advance your engineering credentials. The base salary range represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate's relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance. In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans. Base Salary Range $175,000-$325,000 USD Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. Benefits Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future. Benefits may include health coverage, Employee Assistance Program (EAP) with free mental health support, life and disability insurance, an Employee Stock Purchase Program (ESPP), a retirement/pension plan, wellness dollars, tuition reimbursement, family-forming benefits and more. Benefits vary by country-please ask your Talent Acquisition contact for details specific to the location you are applying to. About Appian Appian provides AI automation for mission-critical work. We automate complex processes in large enterprises and governments. Our platform is known for its unique reliability and scale. We've been automating processes for more than 25 years and understand enterprise operations like no one else. For more information, visit Nasdaq: APPN Follow Appian: LinkedIn, Youtube, Instagram, Facebook Appian is an equal opportunity employer that strives to attract and retain the best talent . click apply for full job details
09/28/2026
Full time
Job Description Job Description Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. Principal ML Platform Engineer Location: Remote (US) Lead the engineering of software that matters - driving AI automation for the world's largest enterprises. About the Team Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do. We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality. By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world. The Opportunity As a Principal Software Engineer, you will serve as a technical linchpin for the team, bringing deep expertise in cloud-native architecture and a track record of influencing engineering direction beyond your immediate scope. Equipped with cutting-edge AI tooling, you will drive the design and delivery of high-complexity engineering solutions, set the technical bar for the team, and lead other engineers towards solutions of real complexity to ensure flawless Enterprise-Grade Orchestration. What You'll Do Develop Clean Software: Architect, build, and optimize high-performance software systems while maintaining a strong personal technical presence on the team. Lead Platform Modernization: Spearhead strategic technological changes and champion code refactoring efforts to keep the core Appian codebase cutting-edge, modern, and performant. Engineer with AI: Use AI coding tools fluently as a force multiplier: generating, reviewing, and critically evaluating AI-assisted code to ship faster without compromising quality or correctness. Lead Architecture & Delivery: Drive technical story breakdowns, acceptance criteria, and architectural design across complex, multi-tier application layers - from feature scoping through implementation. Optimize Performance & Scale: Manage product availability, latency, scalability, and efficiency by engineering deep reliability into our core software systems and performing advanced system tuning. Drive Engineering Excellence: Radiate development best practices across the department, perform meticulous code reviews on design and implementation, and build automation frameworks to prevent problem recurrence. Lead & Grow Engineers: Actively coach and mentor engineers at multiple levels, identify and close skill gaps on the team, and take ownership of accelerating the technical growth of those around you. Influence Technical Documentation: Share your expert domain knowledge regularly across the department, building a reputation as a vital resource and publishing high-quality content to Engineering's permanent documentation site. Required Qualifications Education: Minimum of a Bachelor of Science degree in Computer Science or a related technical/analytical discipline. (Equivalent experience is not accepted in lieu of a degree). Experience: 10+ years of relevant software development experience with a BS (or 8+ years of experience paired with a Master of Science in Computer Science or related field). Technical Mastery: Expert coding, scripting, and debugging proficiency in one or more core enterprise programming languages, specifically Java, Python, or Go. Domain Expertise: Deep working knowledge of distributed systems, cloud infrastructure, and the ability to contribute meaningfully at a senior individual contributor level within that space. Cross-Team Influence: Demonstrated ability to drive technical decisions and shape engineering practices beyond a single team or project scope. AI-Augmented Development: Demonstrated experience using AI coding assistants and a strong ability to evaluate, coach others on, and selectively apply AI-generated code in a production engineering context. Production Mastery: Proven experience developing, optimizing, and maintaining a high-volume, mission-critical production service environment. Communication & Alignment: Exceptional ability to communicate highly technical architectures verbally, visually, and in writing to diverse engineering audiences. Preferred Qualifications Cloud Architecture: Strong experience designing microservices, working with containerization (Docker, Kubernetes), and implementing modern CI/CD pipelines. Cloud Platforms: Deep experience developing and operating infrastructure across public cloud ecosystems, specifically AWS, Azure, and/or GCP. We value experience with enterprise platforms such as Salesforce or ServiceNow, as these skills translate well into our Enterprise-Grade Orchestration environment. What We Equip You With High-Impact Autonomy: A leadership environment where you will have real ownership over your team's direction, the latitude to make meaningful decisions, and participation in broader Engineering discussions. New Hire Orientation: A robust onboarding experience designed to integrate you smoothly into our technology, culture, and leadership model so you can show up for your team from day one. Continuous Enablement: Access to premier learning resources and dedicated learning time focused on both your continued technical growth and your evolution as an engineering leader. Sponsored Certifications: Full corporate sponsorship for professional technical certifications to advance your engineering credentials. The base salary range represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate's relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance. In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans. Base Salary Range $175,000-$325,000 USD Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. Benefits Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future. Benefits may include health coverage, Employee Assistance Program (EAP) with free mental health support, life and disability insurance, an Employee Stock Purchase Program (ESPP), a retirement/pension plan, wellness dollars, tuition reimbursement, family-forming benefits and more. Benefits vary by country-please ask your Talent Acquisition contact for details specific to the location you are applying to. About Appian Appian provides AI automation for mission-critical work. We automate complex processes in large enterprises and governments. Our platform is known for its unique reliability and scale. We've been automating processes for more than 25 years and understand enterprise operations like no one else. For more information, visit Nasdaq: APPN Follow Appian: LinkedIn, Youtube, Instagram, Facebook Appian is an equal opportunity employer that strives to attract and retain the best talent . click apply for full job details
Job Description Job Description Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. Principal Applied AI Engineer Lead the engineering of software that matters - driving AI automation for the world's largest enterprises. This role is based at our h eadquarters in McLean, Virginia. Appian was built on a culture of in-person collaboration, which we believe is a key driver of our mission to be the best. Employees hired for this position are expected to be in the office 5 days a week to foster that culture and ensure we continue to thrive through shared ideas and teamwork. We believe being in the office provides more opportunities to come together and celebrate working with the exceptional people across Appian. ABOUT THE TEAM Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do. We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality. By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world. THE OPPORTUNITY As a Principal Applied AI Engineer, you will serve as the technical linchpin for applied AI on the team, bringing deep hands-on expertise in designing and operating production LLM systems and a track record of influencing engineering direction beyond your immediate scope. Equipped with cutting-edge AI tooling, you will drive the design and delivery of high-complexity AI systems - spanning code generation, agents, retrieval, structured generation, tool use, model routing, evaluation, and observability - set the technical bar for the team, and lead other engineers towards solutions of real complexity to ensure flawless Enterprise-Grade Orchestration. WHAT YOU'LL DO Develop Clean Software: Architect, build, and optimize high-performance production LLM systems while maintaining a strong personal technical presence on the team. Lead Platform Modernization: Spearhead strategic technological changes and champion code refactoring efforts to keep the core Appian codebase - and the AI systems built on it - cutting-edge, modern, and performant. Engineer with AI: Use AI coding tools fluently as a force multiplier: generating, reviewing, and critically evaluating AI-assisted code to ship faster without compromising quality or correctness. Lead Architecture & Delivery: Drive technical story breakdowns, acceptance criteria, and architectural design across complex, multi-tier and AI-powered application layers - from feature scoping through implementation. Build prototypes to de-risk novel AI approaches and establish the standards others build on. Optimize Performance & Scale: Manage product availability, latency, scalability, and efficiency by engineering deep reliability into our core software systems and performing advanced system tuning. Drive Engineering Excellence: Radiate development best practices across the department, perform meticulous code reviews on design and implementation, and build automation frameworks to prevent problem recurrence. Lead & Grow Engineers: Actively coach and mentor engineers at multiple levels, identify and close skill gaps on the team, and take ownership of accelerating the technical growth of those around you. Influence Technical Documentation: Share your expert domain knowledge regularly across the department, building a reputation as a vital resource and publishing high-quality content to Engineering's permanent documentation site. REQUIRED QUALIFICATIONS Education: Minimum of a Bachelor of Science degree in Computer Science or a related technical/analytical discipline. (Equivalent experience is not accepted in lieu of a degree). Experience: 10+ years of relevant software development experience with a BS (or 8+ years of experience paired with a Master of Science in Computer Science or related field). Production LLM Systems: Deep hands-on experience designing and operating production LLM systems. AI Systems Expertise: Demonstrated expertise across code generation, agents, retrieval, structured generation, tool use, model routing, evaluation, and observability. AI-Augmented Development: Demonstrated experience using AI coding assistants and a strong ability to evaluate, coach others on, and selectively apply AI-generated code in a production engineering context. Domain Expertise: Strong distributed-systems, API, security, and reliability foundations, with the ability to contribute meaningfully at a senior individual contributor level within that space. Cross-Team Influence: Demonstrated ability to drive technical decisions and shape engineering practices beyond a single team or project scope. Production Mastery: Proven experience developing, optimizing, and maintaining a high-volume, mission-critical production service environment. Communication & Alignment: Exceptional ability to communicate highly technical architectures verbally, visually, and in writing to diverse engineering audiences. PREFERRED QUALIFICATIONS Compilers & Program Analysis: Experience with compilers, program analysis, formal or executable specifications, or legacy modernization is strongly preferred. We value experience with enterprise platforms such as Salesforce or ServiceNow, as these skills translate well into our Enterprise-Grade Orchestration environment. The base salary range represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate's relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance. In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans. Base Salary Range $200,000-$350,000 USD Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. Benefits Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future. Benefits may include health coverage, Employee Assistance Program (EAP) with free mental health support, life and disability insurance, an Employee Stock Purchase Program (ESPP), a retirement/pension plan, wellness dollars, tuition reimbursement, family-forming benefits and more. Benefits vary by country-please ask your Talent Acquisition contact for details specific to the location you are applying to. About Appian Appian provides AI automation for mission-critical work. We automate complex processes in large enterprises and governments. Our platform is known for its unique reliability and scale. We've been automating processes for more than 25 years and understand enterprise operations like no one else. For more information, visit Nasdaq: APPN Follow Appian: LinkedIn, Youtube, Instagram, Facebook Appian is an equal opportunity employer that strives to attract and retain the best talent. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law. Appian provides reasonable accommodations to applicants in accordance with all applicable laws. If you need a reasonable accommodation for any part of the employment process . click apply for full job details
09/28/2026
Full time
Job Description Job Description Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. Principal Applied AI Engineer Lead the engineering of software that matters - driving AI automation for the world's largest enterprises. This role is based at our h eadquarters in McLean, Virginia. Appian was built on a culture of in-person collaboration, which we believe is a key driver of our mission to be the best. Employees hired for this position are expected to be in the office 5 days a week to foster that culture and ensure we continue to thrive through shared ideas and teamwork. We believe being in the office provides more opportunities to come together and celebrate working with the exceptional people across Appian. ABOUT THE TEAM Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do. We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality. By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world. THE OPPORTUNITY As a Principal Applied AI Engineer, you will serve as the technical linchpin for applied AI on the team, bringing deep hands-on expertise in designing and operating production LLM systems and a track record of influencing engineering direction beyond your immediate scope. Equipped with cutting-edge AI tooling, you will drive the design and delivery of high-complexity AI systems - spanning code generation, agents, retrieval, structured generation, tool use, model routing, evaluation, and observability - set the technical bar for the team, and lead other engineers towards solutions of real complexity to ensure flawless Enterprise-Grade Orchestration. WHAT YOU'LL DO Develop Clean Software: Architect, build, and optimize high-performance production LLM systems while maintaining a strong personal technical presence on the team. Lead Platform Modernization: Spearhead strategic technological changes and champion code refactoring efforts to keep the core Appian codebase - and the AI systems built on it - cutting-edge, modern, and performant. Engineer with AI: Use AI coding tools fluently as a force multiplier: generating, reviewing, and critically evaluating AI-assisted code to ship faster without compromising quality or correctness. Lead Architecture & Delivery: Drive technical story breakdowns, acceptance criteria, and architectural design across complex, multi-tier and AI-powered application layers - from feature scoping through implementation. Build prototypes to de-risk novel AI approaches and establish the standards others build on. Optimize Performance & Scale: Manage product availability, latency, scalability, and efficiency by engineering deep reliability into our core software systems and performing advanced system tuning. Drive Engineering Excellence: Radiate development best practices across the department, perform meticulous code reviews on design and implementation, and build automation frameworks to prevent problem recurrence. Lead & Grow Engineers: Actively coach and mentor engineers at multiple levels, identify and close skill gaps on the team, and take ownership of accelerating the technical growth of those around you. Influence Technical Documentation: Share your expert domain knowledge regularly across the department, building a reputation as a vital resource and publishing high-quality content to Engineering's permanent documentation site. REQUIRED QUALIFICATIONS Education: Minimum of a Bachelor of Science degree in Computer Science or a related technical/analytical discipline. (Equivalent experience is not accepted in lieu of a degree). Experience: 10+ years of relevant software development experience with a BS (or 8+ years of experience paired with a Master of Science in Computer Science or related field). Production LLM Systems: Deep hands-on experience designing and operating production LLM systems. AI Systems Expertise: Demonstrated expertise across code generation, agents, retrieval, structured generation, tool use, model routing, evaluation, and observability. AI-Augmented Development: Demonstrated experience using AI coding assistants and a strong ability to evaluate, coach others on, and selectively apply AI-generated code in a production engineering context. Domain Expertise: Strong distributed-systems, API, security, and reliability foundations, with the ability to contribute meaningfully at a senior individual contributor level within that space. Cross-Team Influence: Demonstrated ability to drive technical decisions and shape engineering practices beyond a single team or project scope. Production Mastery: Proven experience developing, optimizing, and maintaining a high-volume, mission-critical production service environment. Communication & Alignment: Exceptional ability to communicate highly technical architectures verbally, visually, and in writing to diverse engineering audiences. PREFERRED QUALIFICATIONS Compilers & Program Analysis: Experience with compilers, program analysis, formal or executable specifications, or legacy modernization is strongly preferred. We value experience with enterprise platforms such as Salesforce or ServiceNow, as these skills translate well into our Enterprise-Grade Orchestration environment. The base salary range represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate's relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance. In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans. Base Salary Range $200,000-$350,000 USD Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. Benefits Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future. Benefits may include health coverage, Employee Assistance Program (EAP) with free mental health support, life and disability insurance, an Employee Stock Purchase Program (ESPP), a retirement/pension plan, wellness dollars, tuition reimbursement, family-forming benefits and more. Benefits vary by country-please ask your Talent Acquisition contact for details specific to the location you are applying to. About Appian Appian provides AI automation for mission-critical work. We automate complex processes in large enterprises and governments. Our platform is known for its unique reliability and scale. We've been automating processes for more than 25 years and understand enterprise operations like no one else. For more information, visit Nasdaq: APPN Follow Appian: LinkedIn, Youtube, Instagram, Facebook Appian is an equal opportunity employer that strives to attract and retain the best talent. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law. Appian provides reasonable accommodations to applicants in accordance with all applicable laws. If you need a reasonable accommodation for any part of the employment process . click apply for full job details
Job Description Job Description Our mission is to create the Experience of a Lifetime for our employees, so they can, in turn, create the Experience of a Lifetime for our guests. We own and operate the most renowned destination resorts in the world as well as regional and local ski areas outside major cities, and connect them all through one unrivaled network. We are looking for ambitious leaders, innovators and creators to join our talented team. If you're ready to pursue your fullest potential, we want to get to know you! Candidates for year-round positions are reviewed on a rolling basis. Applications will be accepted up to 90 days after the posting date, or until the position is filled (whichever is first). Job Summary: We are looking for a curious, driven, innovative machine learning engineer who takes initiative to solve problems and create environments that accelerate the development, deployment, and usage of data science models and AI to drive greater organizational impact. The Data Science & Data Engineering team within the Enterprise Analytics organization builds data assets, predictive models, analytical applications, and platforms across the organization. Our team collaborates with business stakeholders, analysts, and technology teams to tackle high-impact use cases with state-of-the-art models and tools to grow the business, streamline costs, and improve guest experiences. Job Specifications: Starting Wage: $140,000 - $185,000 + Annual Bonus Employment Type: Year Round Shift Type: Full Time hours Minimum Age: At least 18 years of age Housing Availability: No Job Responsibilities: Productionize ML models developed by data science into reliable, monitored, maintainable systems. Build model data foundations that ensure training, inference, monitoring, and analytics data are trustworthy and scalable. Architect ML platform patterns in Databricks that bring reliability, consistency, governance, performance, and cost discipline to ML and data workflows. Identify and scope opportunities for ML engineering across the business for high-impact. Develop reusable tools , libraries, standards, documentation, and production-readiness practices to enable data science and data engineering teams. Develop analytical and model-powered applications that turn data and ML outputs into usable business workflows for end users. Prepare the platform for future AI engineering , including LLM and agent-based systems, as the organization matures. Provide technical leadership and mentoring across engineering, architecture, and development including design and code reviews. Job Requirements: Technical Skills: Quantitative Foundation : B.S. degree in a quantitative field (e.g., Computer Science, Mathematics, Statistics, Economics, Operations Research, Engineering). Software Engineering Fundamentals: write clean, modular, testable, maintainable code and understand how to structure production-grade systems rather than one-off notebooks or scripts. Python and SQL Proficiency: strong in Python and SQL for building data pipelines, automation, model integrations, analytical workflows, and production services. Data Modeling and Pipeline Design: understand how to design reliable, well-structured data assets, including curated tables, feature datasets, batch pipelines, orchestration, data quality checks, and lineage. ML Lifecycle Fluency: understand the full model lifecycle: data collection, exploration, model development, validation, deployment, monitoring, retraining, and retirement. Production ML Patterns: understand core MLOps patterns such as model registries, feature/data versioning, reproducible environments, testing/validation, monitoring, and rollback. Cloud and Platform Engineering: You are comfortable working in cloud-based data and ML environments and understand the foundations of permissions, environments, jobs, services, storage, networking, and cost-aware architecture. Databricks Expertise : You're familiar and experienced with the core parts of Spark, Unity Catalog, Delta Lake, Databricks Workflows, MLflow, model registry patterns, job/cluster optimization, and governance. DevOps Practices: You use modern engineering practices such as Git, CI/CD, automated testing, code review, dependency management, environment management, and observability. Application Development : You can build applications, APIs, dashboards, or workflow tools that sit on top of data and model outputs. System Design: You can reason through tradeoffs across reliability, latency, scale, cost, governance, maintainability, and ease of use. Soft Skills: Curious : bring intellectual curiosity, an inquisitive nature, and a desire to deepen your knowledge and continue learning. Ownership : take responsibility to proactively advance projects, contribute to the organization, and develop the best solutions. Communication: explain technical concepts, risks, tradeoffs, and recommendations clearly to technical and non-technical audiences. Collaboration: work effectively cross-functionally with data scientists, data engineers, analysts, application engineers, product partners, and business stakeholders. Pragmatism : You know how to balance ideal architecture with business urgency, team maturity, operational constraints, and the need to ship. Preferred qualifications: A graduate degree (Masters or PhD) in a quantitative field Experience with dbt (Core) for modular data modeling, including testing, documentation, and dependency management Experience with AI engineer to use, build, and monitor agentic solutions The expected Total Compensation for this role is $140,000 - $185,000 + Annual Bonus. Individual compensation decisions are based on a variety of factors. Job Benefits Ski/Mountain Perks! Free passes for employees, employee discounted lift tickets for friends and family AND free ski lessons MORE employee discounts on lodging, food, gear, and mountain shuttles 401(k) Retirement Plan Employee Assistance Program Excellent training and professional development Full Time roles are eligible for the above, plus: Health Insurance; Medical Insurance, Dental Insurance, and Vision Insurance plans (for eligible seasonal employees after working 500 hours) Free ski passes for dependents Critical Illness and Accident plans Employees can work remotely from British Columbia, Washington D.C., and the 16 U.S. states in which we currently operate. This includes: California, Colorado, Indiana, Michigan, Minnesota, Missouri, New Hampshire, New York, Nevada, Ohio, Pennsylvania, Utah, Vermont, Washington State, Wisconsin, and Wyoming. Please note that the ability to work in person or off-site, and the particulars related to such work, are subject to change at any time; and, accordingly, the Company reserves the right to change its policies and/or require in-person/in-office work or off-site work at any time in its sole discretion. In completing this application, and when submitting related documentation, applicants may redact information that identifies their age, date of birth, and/or dates of attendance at or graduation from an educational institution. We follow all federal, state, and local laws including restrictions on child/minor labor. Minors hired into this position will not be asked or permitted to engage in any activities restricted to adult workers. Vail Resorts is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veteran status or any other status protected by applicable law. Requisition ID 517322 Reference Date: 09/05/2026 Job Code Function: Data Science
09/28/2026
Full time
Job Description Job Description Our mission is to create the Experience of a Lifetime for our employees, so they can, in turn, create the Experience of a Lifetime for our guests. We own and operate the most renowned destination resorts in the world as well as regional and local ski areas outside major cities, and connect them all through one unrivaled network. We are looking for ambitious leaders, innovators and creators to join our talented team. If you're ready to pursue your fullest potential, we want to get to know you! Candidates for year-round positions are reviewed on a rolling basis. Applications will be accepted up to 90 days after the posting date, or until the position is filled (whichever is first). Job Summary: We are looking for a curious, driven, innovative machine learning engineer who takes initiative to solve problems and create environments that accelerate the development, deployment, and usage of data science models and AI to drive greater organizational impact. The Data Science & Data Engineering team within the Enterprise Analytics organization builds data assets, predictive models, analytical applications, and platforms across the organization. Our team collaborates with business stakeholders, analysts, and technology teams to tackle high-impact use cases with state-of-the-art models and tools to grow the business, streamline costs, and improve guest experiences. Job Specifications: Starting Wage: $140,000 - $185,000 + Annual Bonus Employment Type: Year Round Shift Type: Full Time hours Minimum Age: At least 18 years of age Housing Availability: No Job Responsibilities: Productionize ML models developed by data science into reliable, monitored, maintainable systems. Build model data foundations that ensure training, inference, monitoring, and analytics data are trustworthy and scalable. Architect ML platform patterns in Databricks that bring reliability, consistency, governance, performance, and cost discipline to ML and data workflows. Identify and scope opportunities for ML engineering across the business for high-impact. Develop reusable tools , libraries, standards, documentation, and production-readiness practices to enable data science and data engineering teams. Develop analytical and model-powered applications that turn data and ML outputs into usable business workflows for end users. Prepare the platform for future AI engineering , including LLM and agent-based systems, as the organization matures. Provide technical leadership and mentoring across engineering, architecture, and development including design and code reviews. Job Requirements: Technical Skills: Quantitative Foundation : B.S. degree in a quantitative field (e.g., Computer Science, Mathematics, Statistics, Economics, Operations Research, Engineering). Software Engineering Fundamentals: write clean, modular, testable, maintainable code and understand how to structure production-grade systems rather than one-off notebooks or scripts. Python and SQL Proficiency: strong in Python and SQL for building data pipelines, automation, model integrations, analytical workflows, and production services. Data Modeling and Pipeline Design: understand how to design reliable, well-structured data assets, including curated tables, feature datasets, batch pipelines, orchestration, data quality checks, and lineage. ML Lifecycle Fluency: understand the full model lifecycle: data collection, exploration, model development, validation, deployment, monitoring, retraining, and retirement. Production ML Patterns: understand core MLOps patterns such as model registries, feature/data versioning, reproducible environments, testing/validation, monitoring, and rollback. Cloud and Platform Engineering: You are comfortable working in cloud-based data and ML environments and understand the foundations of permissions, environments, jobs, services, storage, networking, and cost-aware architecture. Databricks Expertise : You're familiar and experienced with the core parts of Spark, Unity Catalog, Delta Lake, Databricks Workflows, MLflow, model registry patterns, job/cluster optimization, and governance. DevOps Practices: You use modern engineering practices such as Git, CI/CD, automated testing, code review, dependency management, environment management, and observability. Application Development : You can build applications, APIs, dashboards, or workflow tools that sit on top of data and model outputs. System Design: You can reason through tradeoffs across reliability, latency, scale, cost, governance, maintainability, and ease of use. Soft Skills: Curious : bring intellectual curiosity, an inquisitive nature, and a desire to deepen your knowledge and continue learning. Ownership : take responsibility to proactively advance projects, contribute to the organization, and develop the best solutions. Communication: explain technical concepts, risks, tradeoffs, and recommendations clearly to technical and non-technical audiences. Collaboration: work effectively cross-functionally with data scientists, data engineers, analysts, application engineers, product partners, and business stakeholders. Pragmatism : You know how to balance ideal architecture with business urgency, team maturity, operational constraints, and the need to ship. Preferred qualifications: A graduate degree (Masters or PhD) in a quantitative field Experience with dbt (Core) for modular data modeling, including testing, documentation, and dependency management Experience with AI engineer to use, build, and monitor agentic solutions The expected Total Compensation for this role is $140,000 - $185,000 + Annual Bonus. Individual compensation decisions are based on a variety of factors. Job Benefits Ski/Mountain Perks! Free passes for employees, employee discounted lift tickets for friends and family AND free ski lessons MORE employee discounts on lodging, food, gear, and mountain shuttles 401(k) Retirement Plan Employee Assistance Program Excellent training and professional development Full Time roles are eligible for the above, plus: Health Insurance; Medical Insurance, Dental Insurance, and Vision Insurance plans (for eligible seasonal employees after working 500 hours) Free ski passes for dependents Critical Illness and Accident plans Employees can work remotely from British Columbia, Washington D.C., and the 16 U.S. states in which we currently operate. This includes: California, Colorado, Indiana, Michigan, Minnesota, Missouri, New Hampshire, New York, Nevada, Ohio, Pennsylvania, Utah, Vermont, Washington State, Wisconsin, and Wyoming. Please note that the ability to work in person or off-site, and the particulars related to such work, are subject to change at any time; and, accordingly, the Company reserves the right to change its policies and/or require in-person/in-office work or off-site work at any time in its sole discretion. In completing this application, and when submitting related documentation, applicants may redact information that identifies their age, date of birth, and/or dates of attendance at or graduation from an educational institution. We follow all federal, state, and local laws including restrictions on child/minor labor. Minors hired into this position will not be asked or permitted to engage in any activities restricted to adult workers. Vail Resorts is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veteran status or any other status protected by applicable law. Requisition ID 517322 Reference Date: 09/05/2026 Job Code Function: Data Science
Job Description Job Description Network Security Engineer II Location - Onsite, Irvine, CA Grade: 8 Company Overview Hyundai AutoEver America (HAEA), the dynamic IT powerhouse behind Hyundai Motor Corporation, a Fortune 500 global leader in the automotive industry. As a key affiliate, we provide cutting-edge IT services and support to top brands including Kia, Genesis, Hyundai Translead, Hyundai Mobis, Hyundai Capital, and Glovis. HAEA offers a truly global and collaborative environment. Here, you'll drive innovation, boost operational efficiency, and help shape the future of mobility for the Hyundai Motor Group. At HAEA, we understand that IT is the cornerstone of today's fast-evolving digital world. By uniting all IT resources under one roof, we deliver consistent, top-quality solutions while serving as the crucial information link between Hyundai's Global Headquarters and North American operations. If you're passionate about technology and eager to make a real impact at a world-class company, Hyundai AutoEver America is the place to grow your career. Join us and be part of the transformation that's driving the future of automotive innovation. What You Will Be Doing The Security Architecture and Engineering team within the CISO organization is seeking a Network Security Engineer II to help design, implement, operate, and continuously improve enterprise network security controls. This role will focus on technologies including Web Application Firewalls, Network Access Control, IDS, and IPS, while partnering closely with the IT Networking team to ensure secure, reliable, and scalable network services. This is an onsite role, five days per week, based in our Irvine office. The key responsibilities of this role are as described below: The Network Security Engineer II will be responsible for supporting and maintaining critical network security platforms across the enterprise. Responsibilities include: Administer, monitor, and optimize Web Application Firewall platforms to protect internet-facing and internal applications. Support and maintain Network Access Control technologies, including device profiling, policy enforcement, segmentation support, and exception handling. Operate and tune Intrusion Detection and Intrusion Prevention Systems to improve detection accuracy and reduce false positives. Partner with the IT Networking team on secure network design, routing, switching, firewall, segmentation, and connectivity initiatives. Assist other Security and IT teams by reviewing security events, alerts, logs, and traffic patterns to identify potential threats or misconfigurations. Assist with the implementation of network security architecture standards, hardening guidelines, and secure configuration baselines. Participate in incident response activities related to network-based threats, unauthorized access, or suspicious traffic. Develop and maintain documentation, including network security diagrams, platform runbooks, standard operating procedures, and change records. Support vulnerability remediation efforts related to network infrastructure, application exposure, and security control gaps. Perform policy reviews and rulebase hygiene for WAF, NAC, IDS, and IPS technologies. Participate in change management activities, including risk assessment, implementation planning, testing, and post-change validation. Collaborate with security operations, infrastructure, application, and compliance teams to support business and regulatory requirements. Assist with lifecycle management for network security tools, including upgrades, patching, certificate management, integrations, and capacity planning. Provide technical recommendations to improve visibility, segmentation, access control, and threat prevention across the environment. Basic Qualifications: Experience: 8+ years of network security, infrastructure security, and/or security engineering. Practical and demonstrated experience working Web Application Firewalls, Network Access Control platforms, IDS/IPS technologies, Firewalls or secure network gateways in platforms by Cisco, Palo Alto, Trend Micro, Gigamon, Trellix, etc. Education: Bachelor's degree in Cybersecurity, Information Technology, Computer science or a related field. Technical Expertise: Advanced level knowledge of networking concepts, including TCP/IP, DNS, DHCP, VLANs, routing, switching, NAT, VPNs, and network segmentation. Experience analyzing logs, packet captures, alerts, and network traffic to troubleshoot issues or investigate security events. Familiarity with common network and application-layer attack techniques. Experience supporting production environments and following change management processes. Strong troubleshooting, documentation, and communication skills. Language Skills: Excellent stakeholder management and communication skills. Proficient in English for effective communication and coordination. Schedule: This is an onsite position requiring presence in the Irvine office five days per week. Some after-hours or weekend work may be required for planned maintenance, incident response, or critical security changes. Preferred Qualifications: Experience: Experience with enterprise WAF policy tuning, bot protection, API protection, or application security rule sets. Experience with NAC deployment models, including 802.1X, MAC authentication bypass, posture assessment, guest access, and device profiling. Familiarity with SIEM, SOAR, vulnerability management, endpoint security, or cloud security tools. Scripting or automation experience using Python, PowerShell, APIs, or infrastructure-as-code tools. Education and Certifications: Masters degree in Cybersecurity, Information Technology, Computer Science or a related discipline is preferred. Industry-recognized credentials such as Security+, Network+, CCNA, CCNP Security, PCNSE, CISSP, GSEC, GCIH, or vendor-specific certifications. Language Skills: Bi-lingual in English and Korean language proficiency is preferred to support global coordination and communication. Team Culture: The team fosters a high-performance, collaborative environment centered around proactive technology risk management and excellent customer service. Members are expected to lead with accountability, communicate effectively across functions, and adapt to dynamic challenges. The culture values technical excellence, continuous improvement, and global coordination, ensuring technology risks are well managed. Base Salary Range: $100,000 - 130,000 Powered by JazzHR FgOdYKZ9EK
09/28/2026
Full time
Job Description Job Description Network Security Engineer II Location - Onsite, Irvine, CA Grade: 8 Company Overview Hyundai AutoEver America (HAEA), the dynamic IT powerhouse behind Hyundai Motor Corporation, a Fortune 500 global leader in the automotive industry. As a key affiliate, we provide cutting-edge IT services and support to top brands including Kia, Genesis, Hyundai Translead, Hyundai Mobis, Hyundai Capital, and Glovis. HAEA offers a truly global and collaborative environment. Here, you'll drive innovation, boost operational efficiency, and help shape the future of mobility for the Hyundai Motor Group. At HAEA, we understand that IT is the cornerstone of today's fast-evolving digital world. By uniting all IT resources under one roof, we deliver consistent, top-quality solutions while serving as the crucial information link between Hyundai's Global Headquarters and North American operations. If you're passionate about technology and eager to make a real impact at a world-class company, Hyundai AutoEver America is the place to grow your career. Join us and be part of the transformation that's driving the future of automotive innovation. What You Will Be Doing The Security Architecture and Engineering team within the CISO organization is seeking a Network Security Engineer II to help design, implement, operate, and continuously improve enterprise network security controls. This role will focus on technologies including Web Application Firewalls, Network Access Control, IDS, and IPS, while partnering closely with the IT Networking team to ensure secure, reliable, and scalable network services. This is an onsite role, five days per week, based in our Irvine office. The key responsibilities of this role are as described below: The Network Security Engineer II will be responsible for supporting and maintaining critical network security platforms across the enterprise. Responsibilities include: Administer, monitor, and optimize Web Application Firewall platforms to protect internet-facing and internal applications. Support and maintain Network Access Control technologies, including device profiling, policy enforcement, segmentation support, and exception handling. Operate and tune Intrusion Detection and Intrusion Prevention Systems to improve detection accuracy and reduce false positives. Partner with the IT Networking team on secure network design, routing, switching, firewall, segmentation, and connectivity initiatives. Assist other Security and IT teams by reviewing security events, alerts, logs, and traffic patterns to identify potential threats or misconfigurations. Assist with the implementation of network security architecture standards, hardening guidelines, and secure configuration baselines. Participate in incident response activities related to network-based threats, unauthorized access, or suspicious traffic. Develop and maintain documentation, including network security diagrams, platform runbooks, standard operating procedures, and change records. Support vulnerability remediation efforts related to network infrastructure, application exposure, and security control gaps. Perform policy reviews and rulebase hygiene for WAF, NAC, IDS, and IPS technologies. Participate in change management activities, including risk assessment, implementation planning, testing, and post-change validation. Collaborate with security operations, infrastructure, application, and compliance teams to support business and regulatory requirements. Assist with lifecycle management for network security tools, including upgrades, patching, certificate management, integrations, and capacity planning. Provide technical recommendations to improve visibility, segmentation, access control, and threat prevention across the environment. Basic Qualifications: Experience: 8+ years of network security, infrastructure security, and/or security engineering. Practical and demonstrated experience working Web Application Firewalls, Network Access Control platforms, IDS/IPS technologies, Firewalls or secure network gateways in platforms by Cisco, Palo Alto, Trend Micro, Gigamon, Trellix, etc. Education: Bachelor's degree in Cybersecurity, Information Technology, Computer science or a related field. Technical Expertise: Advanced level knowledge of networking concepts, including TCP/IP, DNS, DHCP, VLANs, routing, switching, NAT, VPNs, and network segmentation. Experience analyzing logs, packet captures, alerts, and network traffic to troubleshoot issues or investigate security events. Familiarity with common network and application-layer attack techniques. Experience supporting production environments and following change management processes. Strong troubleshooting, documentation, and communication skills. Language Skills: Excellent stakeholder management and communication skills. Proficient in English for effective communication and coordination. Schedule: This is an onsite position requiring presence in the Irvine office five days per week. Some after-hours or weekend work may be required for planned maintenance, incident response, or critical security changes. Preferred Qualifications: Experience: Experience with enterprise WAF policy tuning, bot protection, API protection, or application security rule sets. Experience with NAC deployment models, including 802.1X, MAC authentication bypass, posture assessment, guest access, and device profiling. Familiarity with SIEM, SOAR, vulnerability management, endpoint security, or cloud security tools. Scripting or automation experience using Python, PowerShell, APIs, or infrastructure-as-code tools. Education and Certifications: Masters degree in Cybersecurity, Information Technology, Computer Science or a related discipline is preferred. Industry-recognized credentials such as Security+, Network+, CCNA, CCNP Security, PCNSE, CISSP, GSEC, GCIH, or vendor-specific certifications. Language Skills: Bi-lingual in English and Korean language proficiency is preferred to support global coordination and communication. Team Culture: The team fosters a high-performance, collaborative environment centered around proactive technology risk management and excellent customer service. Members are expected to lead with accountability, communicate effectively across functions, and adapt to dynamic challenges. The culture values technical excellence, continuous improvement, and global coordination, ensuring technology risks are well managed. Base Salary Range: $100,000 - 130,000 Powered by JazzHR FgOdYKZ9EK
Job Description Job Description Who We Are: Aurelius Systems is a VC backed defense tech startup building autonomous, edge deployed directed energy systems for counter-UAS. We build laser weapons to shoot down drones. We're a small team of 10 engineers, former US military operators, and subject matter experts scaling America's directed energy dominance. The first cost effective, reliable and robust laser weapon system. Our namesake isn't an accident. Marcus Aurelius wrote about doing the work in front of you, every day, without excuses. Henry Ford didn't wait for permission to reinvent manufacturing. That's how we operate - small team, unreasonable output, no hiding behind the unachievable. In addition to our San Francisco lab, we opened our Detroit manufacturing hub and field test weekly on our own 400-acre private range. The Role and Your Impact: We need a Principal Hardware Engineer to bring senior technical judgment across Archimedes hardware. You are a highly experienced builder who has seen systems go the full way. From a working prototype to hardware that ships and survives in the field. You've done it more than once. You know where systems break, where teams get stuck, and how to keep both moving. This is a technical leadership seat, not a people management seat. Your role is to raise the level of the hardware org through experience, architectural judgment, and hands-on execution. You lead by example, you unblock hard problems, and you set the technical bar for how hardware gets designed and shipped at Aurelius. You'll partner with the founders and the Director of Engineering on architecture and roadmap. You'll work directly alongside mechanical, electrical, power, embedded, and optics engineers on the hardest problems the team is facing. What You'll Own: Architectural direction across the hardware stack from mechanical, electrical, power, to embedded integration Technical decisions on the hardest problems, from concept through production readiness Pattern recognition and technical review like surfacing risk early, and catching what junior engineers miss Handson execution when the problem needs your specific experience to solve fast Design and manufacturing trades across cost, mass, reliability, schedule, and field performance Cross-team judgment when hardware, controls, optics, and software collide Setting the technical bar for design reviews, documentation quality, and release standards Mentorship by example. Engineers should learn from watching you work, not from being managed by you What We're Looking For: 10+ years designing and shipping complex hardware systems Track record taking systems the full development cycle from prototype through manufacturing and deployment Senior IC or technical leadership background at hardware companies that actually shipped Deep technical judgment across at least two of: mechanical, electrical, power electronics, embedded systems Pattern recognition from having built real systems before, especially systems that had to survive real-world conditions Comfort operating as the technical anchor on a small team, not the manager of a large one Nice to Haves: Directed energy, laser, or high-power systems experience Defense or aerospace program experience with MIL-STD or equivalent qualification Founder or founding engineer background at a hardware company Manufacturing depth as-in you've stood up production lines or worked closely with the manufacturers who do Active security clearance or ability to obtain one How You Operate: Extreme bias for action. You'd rather build a prototype tomorrow than model it for a month You characterize your own systems before the field does Comfortable with ambiguity and fast iteration in a startup environment You debug from first principles, not intuition alone Clear communicator across mechanical, electrical, optical, and software teams Self directed. You identify what needs to happen next and do it without being told Why Join Aurelius Systems: Build more in 1 month than most engineers build in 1 year. We field test weekly. Your work goes downrange, not into a filing cabinet. Career velocity is real. At 10 engineers, there are no layers between you and impact. Work on a problem that actually matters. Small cheap drones are changing warfare. Our laser systems are the asymmetric answer - infinite magazine, near zero cost per shot, scalable to every base, border, facility, and truck. Join the densest defense startup ecosystem in the country. California is where the next generation of defense companies are being built. How We Work: Core hours are Monday through Friday, 9 to 6. When we're sprinting toward a demo or field test, the team ramps up - nights, weekends, whatever it takes to ship. When the sprint lands, we ramp down. We don't manufacture intensity for show. Benefits: Competitive salary and equity United Health Care medical, dental, and vision coverage Flexible 18 days PTO plus 5 sick days Travel to field test events and range days Covered daily lunches and office snacks and drinks E-bike and scooter stipend up to $500 Direct access to leadership and real ownership over your work Export Control Notice: This role requires access to export-controlled information or items that require U.S. Person status. As defined by U.S. law, individuals who are any one of the following are considered to be a U.S. Person: (1) U.S. citizens, (2) legal permanent residents (a.k.a. green card holders), and (3) certain protected classes of asylees and refugees, as defined in 8 U.S.C. 1324b(a)(3). Compensation Range: $255K - $305K
09/28/2026
Full time
Job Description Job Description Who We Are: Aurelius Systems is a VC backed defense tech startup building autonomous, edge deployed directed energy systems for counter-UAS. We build laser weapons to shoot down drones. We're a small team of 10 engineers, former US military operators, and subject matter experts scaling America's directed energy dominance. The first cost effective, reliable and robust laser weapon system. Our namesake isn't an accident. Marcus Aurelius wrote about doing the work in front of you, every day, without excuses. Henry Ford didn't wait for permission to reinvent manufacturing. That's how we operate - small team, unreasonable output, no hiding behind the unachievable. In addition to our San Francisco lab, we opened our Detroit manufacturing hub and field test weekly on our own 400-acre private range. The Role and Your Impact: We need a Principal Hardware Engineer to bring senior technical judgment across Archimedes hardware. You are a highly experienced builder who has seen systems go the full way. From a working prototype to hardware that ships and survives in the field. You've done it more than once. You know where systems break, where teams get stuck, and how to keep both moving. This is a technical leadership seat, not a people management seat. Your role is to raise the level of the hardware org through experience, architectural judgment, and hands-on execution. You lead by example, you unblock hard problems, and you set the technical bar for how hardware gets designed and shipped at Aurelius. You'll partner with the founders and the Director of Engineering on architecture and roadmap. You'll work directly alongside mechanical, electrical, power, embedded, and optics engineers on the hardest problems the team is facing. What You'll Own: Architectural direction across the hardware stack from mechanical, electrical, power, to embedded integration Technical decisions on the hardest problems, from concept through production readiness Pattern recognition and technical review like surfacing risk early, and catching what junior engineers miss Handson execution when the problem needs your specific experience to solve fast Design and manufacturing trades across cost, mass, reliability, schedule, and field performance Cross-team judgment when hardware, controls, optics, and software collide Setting the technical bar for design reviews, documentation quality, and release standards Mentorship by example. Engineers should learn from watching you work, not from being managed by you What We're Looking For: 10+ years designing and shipping complex hardware systems Track record taking systems the full development cycle from prototype through manufacturing and deployment Senior IC or technical leadership background at hardware companies that actually shipped Deep technical judgment across at least two of: mechanical, electrical, power electronics, embedded systems Pattern recognition from having built real systems before, especially systems that had to survive real-world conditions Comfort operating as the technical anchor on a small team, not the manager of a large one Nice to Haves: Directed energy, laser, or high-power systems experience Defense or aerospace program experience with MIL-STD or equivalent qualification Founder or founding engineer background at a hardware company Manufacturing depth as-in you've stood up production lines or worked closely with the manufacturers who do Active security clearance or ability to obtain one How You Operate: Extreme bias for action. You'd rather build a prototype tomorrow than model it for a month You characterize your own systems before the field does Comfortable with ambiguity and fast iteration in a startup environment You debug from first principles, not intuition alone Clear communicator across mechanical, electrical, optical, and software teams Self directed. You identify what needs to happen next and do it without being told Why Join Aurelius Systems: Build more in 1 month than most engineers build in 1 year. We field test weekly. Your work goes downrange, not into a filing cabinet. Career velocity is real. At 10 engineers, there are no layers between you and impact. Work on a problem that actually matters. Small cheap drones are changing warfare. Our laser systems are the asymmetric answer - infinite magazine, near zero cost per shot, scalable to every base, border, facility, and truck. Join the densest defense startup ecosystem in the country. California is where the next generation of defense companies are being built. How We Work: Core hours are Monday through Friday, 9 to 6. When we're sprinting toward a demo or field test, the team ramps up - nights, weekends, whatever it takes to ship. When the sprint lands, we ramp down. We don't manufacture intensity for show. Benefits: Competitive salary and equity United Health Care medical, dental, and vision coverage Flexible 18 days PTO plus 5 sick days Travel to field test events and range days Covered daily lunches and office snacks and drinks E-bike and scooter stipend up to $500 Direct access to leadership and real ownership over your work Export Control Notice: This role requires access to export-controlled information or items that require U.S. Person status. As defined by U.S. law, individuals who are any one of the following are considered to be a U.S. Person: (1) U.S. citizens, (2) legal permanent residents (a.k.a. green card holders), and (3) certain protected classes of asylees and refugees, as defined in 8 U.S.C. 1324b(a)(3). Compensation Range: $255K - $305K
Job Description Job Description Principal Test Engineer JOB DESCRIPTION Job Title: Principal Test Engineer Job Code: 12663 Reports To: Manager/Director of Engineering Department Name: 40 - Test Engineering Location: Wichita POSITION SUMMARY (Briefly describe the purpose of the position ) Plan, design and evaluate test development projects in collaboration with internal and external customers to ensure that all specifications meet customer expectations and organizational requirements. Must have experience with memory testing. Position is located in Wichita, KS. Please do not apply if you are not interested in relocation. ITAR Compliance is required. You must be a US Citizens or Green Card holder to be considered for position. KEY RESPONSIBILITIES/ESSENTIAL FUNCTIONS INCLUDE (List in order of importance ) Develop semiconductor component-level test plans that determine methods, procedures, and conditions to ensure coverage of device specifications that meet customer application requirements. Develop Automated Test Equipment (ATE) test program hardware and software to test semiconductor devices per customer approved test plans. Configure and/or program bench level lab equipment as needed to meet test requirements. Work with the Sales Team to accurately cost quote device test development engineering hours, test platform hours, and the test hardware required to meet customer approved test plans. Work with the Operations Team to determine engineering feasibility and cost effectiveness for production-level test programs. Resolve technical problems using device/test debugging technics, and collection of test characterization data to reach engineering conclusions for driving corrective actions. Flexibility to perform other duties as assigned. JOB REQUIREMENTS INCLUDE (List as required or preferred ) Education: Bachelor's degree in Electrical Engineering preferred; however, a combination of education and experience wherein the skills and abilities to perform the responsibilities and functions have been adequately demonstrated is acceptable. Experience: 7-10 years of the following experience is required: Developing IC test solutions on automated test equipment such as Teradyne, Advantest, LTX-Credence, etc. platforms. Test program development of digital, analog or mixed signal integrated circuits. Utilize knowledge of programming techniques, electronic, test equipment, and test specifications to develop test programs to a set schedule. Read, analyze, and interpret semiconductor datasheets and test specifications to estimate test program development time and material costs. Program manage individual test developments from initial stage to completion while accurately reporting status to all stakeholders. Maintain a high level of attention to detail and accuracy to ensure data integrity. Utilize effective communication skills with internal and external customers to achieve required results. Effectively and efficiently utilize Microsoft Office and other computer products and programs. Knowledge/Skills/Overall Competences: Job Knowledge: Possesses and applies a comprehensive knowledge of a particular field of specialization to the completion of significant assignments. Comprehensive knowledge of products and product direction for all products. Level at which career may plateau. Technical Skill Having wide-ranging experience, uses professional concepts and company objectives to resolve significantly complex issues in creative and effective ways. Applies extensive expertise as a specialist to accomplish goals. Leads product design projects. An emerging authority in a particular field. Design/Planning: Task Definition, Design, Project Planning Understands company technical goals and direction and influences how it applies to work in the function. Accurately estimates time and resources necessary for projects. Coaches and leads others in the use of process and planning tools. Job Complexity Works on significant and complex issues where analysis of situations or data requires an in-depth evaluation of variable factors. Exercises independent judgment in selecting methods, techniques and evaluation criteria for obtaining results. Complexity of work requires ingenuity and creativity to solve problems and accomplish goals. Creates formal networks involving coordination among internal groups. Problem Resolution Identifies and resolves problems and issues outside of the assigned area. Develops solutions to complex problems that require the regular use of ingenuity and creativity. Serves as a mentor or consultant to others in solving problems or thinking through issues. Communication: Verbal/Written Consistently communicates effectively across organizational boundaries and externally to customers. Involved in cross-department projects in defining or solving problems. Interacts to share knowledge and solutions and to lead/serve on task teams or committees. Teamwork Leads others in gaining a common understanding through discussion. Clarifies team goals, expectations, ground rules and responsibilities. Makes progress even when ambiguity has not been resolved. Personal Leadership: Influencing, Impact, Affecting Change, Coaching Establishes product direction in related areas. Makes decisions that affect income, expenses, operations and customer relations that in turn directly influence activities and objectives of cross functional work groups or function. Sound decisions or recommendations result in successfully achieving critical company objectives and affect the image of the organization's technological capability. Effective in gaining buy-in. Coach/Develop others in many related areas. Supervision Required Duties are performed under minimal supervision with assignments given in terms of objectives and results expected. Operates with substantial latitude for un-reviewed actions or decisions. Determines methods and procedures on new assignments and may lead activities of other personal
09/28/2026
Full time
Job Description Job Description Principal Test Engineer JOB DESCRIPTION Job Title: Principal Test Engineer Job Code: 12663 Reports To: Manager/Director of Engineering Department Name: 40 - Test Engineering Location: Wichita POSITION SUMMARY (Briefly describe the purpose of the position ) Plan, design and evaluate test development projects in collaboration with internal and external customers to ensure that all specifications meet customer expectations and organizational requirements. Must have experience with memory testing. Position is located in Wichita, KS. Please do not apply if you are not interested in relocation. ITAR Compliance is required. You must be a US Citizens or Green Card holder to be considered for position. KEY RESPONSIBILITIES/ESSENTIAL FUNCTIONS INCLUDE (List in order of importance ) Develop semiconductor component-level test plans that determine methods, procedures, and conditions to ensure coverage of device specifications that meet customer application requirements. Develop Automated Test Equipment (ATE) test program hardware and software to test semiconductor devices per customer approved test plans. Configure and/or program bench level lab equipment as needed to meet test requirements. Work with the Sales Team to accurately cost quote device test development engineering hours, test platform hours, and the test hardware required to meet customer approved test plans. Work with the Operations Team to determine engineering feasibility and cost effectiveness for production-level test programs. Resolve technical problems using device/test debugging technics, and collection of test characterization data to reach engineering conclusions for driving corrective actions. Flexibility to perform other duties as assigned. JOB REQUIREMENTS INCLUDE (List as required or preferred ) Education: Bachelor's degree in Electrical Engineering preferred; however, a combination of education and experience wherein the skills and abilities to perform the responsibilities and functions have been adequately demonstrated is acceptable. Experience: 7-10 years of the following experience is required: Developing IC test solutions on automated test equipment such as Teradyne, Advantest, LTX-Credence, etc. platforms. Test program development of digital, analog or mixed signal integrated circuits. Utilize knowledge of programming techniques, electronic, test equipment, and test specifications to develop test programs to a set schedule. Read, analyze, and interpret semiconductor datasheets and test specifications to estimate test program development time and material costs. Program manage individual test developments from initial stage to completion while accurately reporting status to all stakeholders. Maintain a high level of attention to detail and accuracy to ensure data integrity. Utilize effective communication skills with internal and external customers to achieve required results. Effectively and efficiently utilize Microsoft Office and other computer products and programs. Knowledge/Skills/Overall Competences: Job Knowledge: Possesses and applies a comprehensive knowledge of a particular field of specialization to the completion of significant assignments. Comprehensive knowledge of products and product direction for all products. Level at which career may plateau. Technical Skill Having wide-ranging experience, uses professional concepts and company objectives to resolve significantly complex issues in creative and effective ways. Applies extensive expertise as a specialist to accomplish goals. Leads product design projects. An emerging authority in a particular field. Design/Planning: Task Definition, Design, Project Planning Understands company technical goals and direction and influences how it applies to work in the function. Accurately estimates time and resources necessary for projects. Coaches and leads others in the use of process and planning tools. Job Complexity Works on significant and complex issues where analysis of situations or data requires an in-depth evaluation of variable factors. Exercises independent judgment in selecting methods, techniques and evaluation criteria for obtaining results. Complexity of work requires ingenuity and creativity to solve problems and accomplish goals. Creates formal networks involving coordination among internal groups. Problem Resolution Identifies and resolves problems and issues outside of the assigned area. Develops solutions to complex problems that require the regular use of ingenuity and creativity. Serves as a mentor or consultant to others in solving problems or thinking through issues. Communication: Verbal/Written Consistently communicates effectively across organizational boundaries and externally to customers. Involved in cross-department projects in defining or solving problems. Interacts to share knowledge and solutions and to lead/serve on task teams or committees. Teamwork Leads others in gaining a common understanding through discussion. Clarifies team goals, expectations, ground rules and responsibilities. Makes progress even when ambiguity has not been resolved. Personal Leadership: Influencing, Impact, Affecting Change, Coaching Establishes product direction in related areas. Makes decisions that affect income, expenses, operations and customer relations that in turn directly influence activities and objectives of cross functional work groups or function. Sound decisions or recommendations result in successfully achieving critical company objectives and affect the image of the organization's technological capability. Effective in gaining buy-in. Coach/Develop others in many related areas. Supervision Required Duties are performed under minimal supervision with assignments given in terms of objectives and results expected. Operates with substantial latitude for un-reviewed actions or decisions. Determines methods and procedures on new assignments and may lead activities of other personal
Job Description Job Description About TodayTix Group: TodayTix Group (TTG) is the global e-commerce leader for cultural experiences, designing frictionless discovery and purchase journeys through innovative product design and industry-leading technology. Our portfolio of brands including TodayTix, New York Theatre Guide, London Theatre, Show-Score, Arthouse, Arthouse London, and Secret Cinema connects millions of customers with the best in live entertainment. Powered by vast data and insights, TTG helps theatres, producers, and cultural institutions reach highly engaged audiences and unlock meaningful revenue, transforming how tickets are sold across the world. In 2025, TTG entered a new chapter as part of MARI, the global events and experiences company powering world-defining live experiences. Together, we're expanding our reach, deepening our impact, and accelerating a shared vision to redefine the event lifecycle through seamless discovery, purchase, and engagement. Life at TodayTix Group We thrive in a nimble, growth-oriented environment where adaptability, curiosity, and a bias toward action help us stay ahead of the curve. We move quickly, iterate often, and expect everyone to take ownership of their impact - because we're building the future of live events, and there's no script for what comes next. New joiners are set up for success with a 90-day onboarding journey, complete with clear goals and measurable milestones. We believe feedback fuels growth, so we hold twice-yearly performance reviews focused on impact and development. Above all, you'll be working alongside a team of collaborative, passionate, and kind humans - people who love theatre and live experiences, and who support each other just as much as they challenge each other to do great work. We are seeking outstanding applicants of all backgrounds to join our team to bring new voices, talent, and perspectives to the table. We encourage all to apply. About the Role: Powered by TodayTix (PxT) is TodayTix Group's enterprise ticketing and e-commerce division - the technology and tools that help the world's leading cultural organizations, attractions, and live events power their box office and drive online sales. We work with some of the most exciting venues, producers, and event organizers on the planet, and we're building the platform that helps them thrive. We're looking for a Lead Product Designer to join our Powered by TodayTix team to expand our partner portal to support theatre, sports, attractions, exhibitions and more. You'll set the bar for design quality, translating complex, nuanced industry concepts into clear, elegant user flows - bringing systematic UX thinking, a refined eye for UI detail, and the confidence to drive decisions forward independently. This role sits at the heart of our B2B inventory and event management platform, shaping the experience for live event partners who rely on it to run their business. If you're passionate about making complex tools feel effortless and thrive in a fast-paced, collaborative environment, we'd love to hear from you. Please note: This full-time position is based in New York. We encourage collaboration by working a minimum of 2 days per week in the office, while also offering flexibility for employees to choose where they work for the rest of the week. What Success Looks Like: Independent Execution: You drive complex projects end-to-end with minimal oversight, proactively managing stakeholder expectations and scope changes. Strong Design Collaboration: You articulate design decisions clearly, rationally and objectively, advocate for users, and bring cross-functional partners along with you. Growth Mindset: You approach challenges as opportunities to learn, and raise the bar for the people around you. Design System Stewardship: You leverage and evolve the Design System with taste and judgment, pressure testing the scalability of each component setting standards the broader team can follow. Craft Leadership: You consistently translate complex, nuanced product challenges into simple, intuitive user flows - without sacrificing depth or business logic. What You'll Do: Lead design across complex B2B product initiatives, from early discovery through delivery and QA. Collaborate closely with product managers, engineers, and other designers to define and craft outstanding product experiences. Lead design reviews and brainstorming sessions, presenting regularly to design leadership and company executives. Proactively set expectations with stakeholders and communicate clearly when scope or direction shifts. Promote a culture of design excellence - mentor other designers, champion quality, and lead by example. Use AI tools fluently across your workflow (research, ideation, prototyping, and production) and help establish best practices for the team. This includes using AI-assisted coding to ship frontend components and maintain design system quality without always relying on a developer. Partner with developers to ensure designs are implemented accurately and to a high standard. Regularly use the product to uncover usability issues, identify bugs, and suggest thoughtful improvements. We're Looking for Someone With: 6+ years of experience in Product Design, with experience in a lead or senior capacity. Strong UX fundamentals and a refined eye for UI - able to simplify complex concepts and work within a Design System with taste and judgment. B2B or dashboard/data-heavy design experience - comfortable designing for complex, information-dense products. Proficiency in Figma and prototyping tools, with experience conducting generative and usability research. A strong portfolio of user-centered, beautifully executed UI - ideally including B2B or enterprise product work. AI fluency - you actively use AI tools to work faster and smarter, including a willingness to use AI-assisted coding to contribute directly to the design system and frontend. The ability to work independently, manage multiple projects, and drive work forward without excessive oversight. Excellent communication skills - able to present and defend work to stakeholders at all levels with clarity and confidence. Experience working in a squad, collaborating with developers and QA engineers to ensure timely, high-quality delivery. Salary ranges are determined by competitive market data for our size, stage, and industry, experience and location of the applicant, and our internal salary banding, which is reviewed at least annually. We aim to be as transparent, equitable, and fair as possible. Qualified candidates and our Talent Acquisition team will discuss salary and benefits in the initial conversation, and final salary will be determined after candidates complete the interview process. We expect that the majority of candidates who are offered roles at TTG fall healthily throughout the range based on the above factors. To learn about the Perks and Benefits outside of the salary, please check out our "Good to Know" section! Good to Know: TodayTix Group takes care of our team. We're proud to offer a generous suite of benefits and perks. Here are some of our favorites: -Hybrid work environment (blend of in-office and at-home days) -Up to 4 weeks per year of flexible 'work from anywhere' -Healthcare, vision, and dental plans, with generous contributions from the company -Life and disability insurance -Paid Parental Leave -Generous 401(k) Matching -Flexible Paid Time Off -Free membership to One Medical Group & Employee Assistance Program -Annual Professional Growth Budget -Employee donation matching -Employee Referral Program -Pre-Tax Flexible healthcare spending account (FSA), Dependent Care FSA and Commuter Benefits TodayTix Group is proud to be an equal opportunity employer, committed to fostering a workplace that celebrates diversity and inclusion. We welcome candidates of all backgrounds and do not discriminate based on race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital or veteran status, pregnancy, disability, or any other characteristic protected by law. We are also committed to providing reasonable accommodations for applicants and employees based on their religious practices, mental health, or physical needs. For information on our US employee and applicant privacy policy, click here. For more information about the data we collect and retention periods, please see our Data Collection Notice here. 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 About TodayTix Group: TodayTix Group (TTG) is the global e-commerce leader for cultural experiences, designing frictionless discovery and purchase journeys through innovative product design and industry-leading technology. Our portfolio of brands including TodayTix, New York Theatre Guide, London Theatre, Show-Score, Arthouse, Arthouse London, and Secret Cinema connects millions of customers with the best in live entertainment. Powered by vast data and insights, TTG helps theatres, producers, and cultural institutions reach highly engaged audiences and unlock meaningful revenue, transforming how tickets are sold across the world. In 2025, TTG entered a new chapter as part of MARI, the global events and experiences company powering world-defining live experiences. Together, we're expanding our reach, deepening our impact, and accelerating a shared vision to redefine the event lifecycle through seamless discovery, purchase, and engagement. Life at TodayTix Group We thrive in a nimble, growth-oriented environment where adaptability, curiosity, and a bias toward action help us stay ahead of the curve. We move quickly, iterate often, and expect everyone to take ownership of their impact - because we're building the future of live events, and there's no script for what comes next. New joiners are set up for success with a 90-day onboarding journey, complete with clear goals and measurable milestones. We believe feedback fuels growth, so we hold twice-yearly performance reviews focused on impact and development. Above all, you'll be working alongside a team of collaborative, passionate, and kind humans - people who love theatre and live experiences, and who support each other just as much as they challenge each other to do great work. We are seeking outstanding applicants of all backgrounds to join our team to bring new voices, talent, and perspectives to the table. We encourage all to apply. About the Role: Powered by TodayTix (PxT) is TodayTix Group's enterprise ticketing and e-commerce division - the technology and tools that help the world's leading cultural organizations, attractions, and live events power their box office and drive online sales. We work with some of the most exciting venues, producers, and event organizers on the planet, and we're building the platform that helps them thrive. We're looking for a Lead Product Designer to join our Powered by TodayTix team to expand our partner portal to support theatre, sports, attractions, exhibitions and more. You'll set the bar for design quality, translating complex, nuanced industry concepts into clear, elegant user flows - bringing systematic UX thinking, a refined eye for UI detail, and the confidence to drive decisions forward independently. This role sits at the heart of our B2B inventory and event management platform, shaping the experience for live event partners who rely on it to run their business. If you're passionate about making complex tools feel effortless and thrive in a fast-paced, collaborative environment, we'd love to hear from you. Please note: This full-time position is based in New York. We encourage collaboration by working a minimum of 2 days per week in the office, while also offering flexibility for employees to choose where they work for the rest of the week. What Success Looks Like: Independent Execution: You drive complex projects end-to-end with minimal oversight, proactively managing stakeholder expectations and scope changes. Strong Design Collaboration: You articulate design decisions clearly, rationally and objectively, advocate for users, and bring cross-functional partners along with you. Growth Mindset: You approach challenges as opportunities to learn, and raise the bar for the people around you. Design System Stewardship: You leverage and evolve the Design System with taste and judgment, pressure testing the scalability of each component setting standards the broader team can follow. Craft Leadership: You consistently translate complex, nuanced product challenges into simple, intuitive user flows - without sacrificing depth or business logic. What You'll Do: Lead design across complex B2B product initiatives, from early discovery through delivery and QA. Collaborate closely with product managers, engineers, and other designers to define and craft outstanding product experiences. Lead design reviews and brainstorming sessions, presenting regularly to design leadership and company executives. Proactively set expectations with stakeholders and communicate clearly when scope or direction shifts. Promote a culture of design excellence - mentor other designers, champion quality, and lead by example. Use AI tools fluently across your workflow (research, ideation, prototyping, and production) and help establish best practices for the team. This includes using AI-assisted coding to ship frontend components and maintain design system quality without always relying on a developer. Partner with developers to ensure designs are implemented accurately and to a high standard. Regularly use the product to uncover usability issues, identify bugs, and suggest thoughtful improvements. We're Looking for Someone With: 6+ years of experience in Product Design, with experience in a lead or senior capacity. Strong UX fundamentals and a refined eye for UI - able to simplify complex concepts and work within a Design System with taste and judgment. B2B or dashboard/data-heavy design experience - comfortable designing for complex, information-dense products. Proficiency in Figma and prototyping tools, with experience conducting generative and usability research. A strong portfolio of user-centered, beautifully executed UI - ideally including B2B or enterprise product work. AI fluency - you actively use AI tools to work faster and smarter, including a willingness to use AI-assisted coding to contribute directly to the design system and frontend. The ability to work independently, manage multiple projects, and drive work forward without excessive oversight. Excellent communication skills - able to present and defend work to stakeholders at all levels with clarity and confidence. Experience working in a squad, collaborating with developers and QA engineers to ensure timely, high-quality delivery. Salary ranges are determined by competitive market data for our size, stage, and industry, experience and location of the applicant, and our internal salary banding, which is reviewed at least annually. We aim to be as transparent, equitable, and fair as possible. Qualified candidates and our Talent Acquisition team will discuss salary and benefits in the initial conversation, and final salary will be determined after candidates complete the interview process. We expect that the majority of candidates who are offered roles at TTG fall healthily throughout the range based on the above factors. To learn about the Perks and Benefits outside of the salary, please check out our "Good to Know" section! Good to Know: TodayTix Group takes care of our team. We're proud to offer a generous suite of benefits and perks. Here are some of our favorites: -Hybrid work environment (blend of in-office and at-home days) -Up to 4 weeks per year of flexible 'work from anywhere' -Healthcare, vision, and dental plans, with generous contributions from the company -Life and disability insurance -Paid Parental Leave -Generous 401(k) Matching -Flexible Paid Time Off -Free membership to One Medical Group & Employee Assistance Program -Annual Professional Growth Budget -Employee donation matching -Employee Referral Program -Pre-Tax Flexible healthcare spending account (FSA), Dependent Care FSA and Commuter Benefits TodayTix Group is proud to be an equal opportunity employer, committed to fostering a workplace that celebrates diversity and inclusion. We welcome candidates of all backgrounds and do not discriminate based on race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital or veteran status, pregnancy, disability, or any other characteristic protected by law. We are also committed to providing reasonable accommodations for applicants and employees based on their religious practices, mental health, or physical needs. For information on our US employee and applicant privacy policy, click here. For more information about the data we collect and retention periods, please see our Data Collection Notice here. 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 Calyxo, Inc. is a medical device company headquartered in Pleasanton, California, USA. The company was founded in 2016 to address the profound need for improved kidney stone treatment. Kidney stone disease is a common, painful condition that consumes vast amounts of healthcare resources each year. Our team is led by executives and investors with a proven track record of commercializing paradigm-shifting devices to meet unmet needs within urology. Are you ready to change the future of kidney stone treatment? We are seeking high achievers who want to be part of a dynamic team working in a fun, diverse atmosphere. Summary: We are seeking a highly skilled and innovative hardware engineer to lead development of advanced fluidic subsystems in kidney stone treatment. This role focuses on the design and control of irrigation and aspiration systems, combining pumps, valves, sensors, tubing sets, and embedded software into safe and reliable products. This is a hands on technical leadership role for an engineer who enjoys developing both hardware and control algorithms, working across mechanical, electrical, and software boundaries to deliver clinically robust performance. This role requires ensuring that all engineering efforts comply with industry standards and regulatory requirements, while aligning with strategic business objectives. In This Role, You Will: Own and architect end-to-end fluid control systems across capital equipment and disposable instruments/tubing sets. Define and drive development of control algorithms to regulate irrigation and aspiration under varying clinical and patient conditions. Define system/sub-system performance requirements for flow, pressure, responsiveness, alarms, and fault detection. Perform system modeling, trade studies, prototyping and bench testing to educate key component selection (pumps, sensors, actuators), validate decisions and de-risk technical challenges. Individually contribute to mechanical/electromechanical design for critical fluidics subsystem components and assemblies and provide expert design review of other team-members designs. Lead cross-functional alignment across internal teams and external partners to ensure architectural integrity, V&V readiness, and production scalability. Collaborate with Systems & Test Engineering to drive design verification test planning and execution for fluid control hardware subsystems. Lead hardware sub-system risk management activities (e.g., FMEA). Organize system/sub-system-level technical design reviews to ensure coherent design across hardware, firmware and software interfaces. Collaborate with suppliers and internal operations representatives to perform root cause investigation, component lifecycle management and continuous improvement. Provide deep subject matter expertise toward the technology roadmap for fluidics and controls and related research endeavors. Partner closely with mechanical, electrical, software, systems, clinical, quality, regulatory and other cross-functional teams to bring prototypes to the market. Mentor junior and non-specialist engineering talent, promoting a collaborative and high-performance work environment. Who You Will Report To: Director, Vision and Sensor Systems Requirements: Bachelor's degree in Mechanical Engineering, Biomedical Engineering, Electrical Engineering, Mechatronics, or a related discipline. Master's or PhD in a relevant engineering discipline preferred. 15+ years of experience developing fluidic, mechatronic, or control systems in a regulated product environment. Experience with owning end-to-end hardware system architectures for fluidic control systems. Preferred familiarity with disposable fluidic component design and reusable/disposable system interfaces. Proven experience developing and tuning closed loop control systems for electromechanical hardware. Preferred experience with irrigation and aspiration systems, endoscopic or urological devices, or surgical fluid management platforms. Experience with pressure, flow, air in line, or occlusion detection preferred. Experience prototyping and testing systems at the bench and subsystem level, including proficiency with prototype embedded software development (e.g., C/C++, Python, or similar) to support hardware designs. Strong first-principles thinker with expert-level fundamentals in fluid dynamics applied to precision fluid delivery in complex devices. Ability to design experiments, analyze data, and translate results into design improvements. Clear technical communication skills and ability to influence across multidisciplinary teams. Experience leading external vendors and contract development firms. Exceptional structured problem-solving skills and experience leading multifunctional technical project teams through all development lifecycle phases. Prior work on medical devices or other safety critical products, including knowledge of IEC 60601, ISO 13485, and medical device design controls. Experience in requirements definition, design reviews, design verification, change management and risk control Ability to travel domestically and internationally up to 10% of the time. What We Offer: At Calyxo, you will be part of a knowledgeable, high-achieving, experienced, and fun team. You will work in a diverse work environment with experienced, proven leaders and have an opportunity to shape our company culture. You will experience constant learning and dynamic challenges to help you grow and be the best version of yourself. We also offer an attractive compensation package, which includes: A competitive base salary of $250,000 - $270,000 and variable incentive plan Stock options - ownership and a stake in growing a mission-driven company Employee benefits package that includes 401(k), healthcare insurance and paid vacation Calyxo is deeply committed to fostering an environment where diversity and inclusion are not only valued but also prioritized. We believe a diverse and inclusive community empowers us to act courageously, care deeply, and dream boldly to impact people in big ways. Diverse viewpoints bring diverse capabilities, which strengthen our focus and fuel our growth. Calyxo is proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status or any other applicable legally protected characteristics Legal authorization to work in the United States is required. In compliance with federal law, all persons hired will be required to verify their identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. Disclaimer: At Calyxo, we prioritize a transparent and structured interview process to ensure the best fit for both our candidates and our team. Please be aware of the following: Structured Interview Process : Our hiring process includes multiple stages of interviews where you will have the opportunity to communicate directly with Calyxo employees. This ensures that you gain a comprehensive understanding of the role and our company culture. Verification of Identity : We do not extend job offers without first meeting candidates, either virtually or in person. This step is crucial to maintain the integrity of our hiring process and to ensure mutual alignment. Beware of Scams : Calyxo will never request sensitive personal information, such as your full name, address, phone number, or identification documents, via email or online forms before an official interview. Calyxo representatives will always contact you using an email format of . If you receive a request for information from any other domain, please contact us directly at to verify the legitimacy of the communication. We appreciate your interest in joining Calyxo and look forward to getting to know you through our official channels.
09/28/2026
Full time
Job Description Job Description Calyxo, Inc. is a medical device company headquartered in Pleasanton, California, USA. The company was founded in 2016 to address the profound need for improved kidney stone treatment. Kidney stone disease is a common, painful condition that consumes vast amounts of healthcare resources each year. Our team is led by executives and investors with a proven track record of commercializing paradigm-shifting devices to meet unmet needs within urology. Are you ready to change the future of kidney stone treatment? We are seeking high achievers who want to be part of a dynamic team working in a fun, diverse atmosphere. Summary: We are seeking a highly skilled and innovative hardware engineer to lead development of advanced fluidic subsystems in kidney stone treatment. This role focuses on the design and control of irrigation and aspiration systems, combining pumps, valves, sensors, tubing sets, and embedded software into safe and reliable products. This is a hands on technical leadership role for an engineer who enjoys developing both hardware and control algorithms, working across mechanical, electrical, and software boundaries to deliver clinically robust performance. This role requires ensuring that all engineering efforts comply with industry standards and regulatory requirements, while aligning with strategic business objectives. In This Role, You Will: Own and architect end-to-end fluid control systems across capital equipment and disposable instruments/tubing sets. Define and drive development of control algorithms to regulate irrigation and aspiration under varying clinical and patient conditions. Define system/sub-system performance requirements for flow, pressure, responsiveness, alarms, and fault detection. Perform system modeling, trade studies, prototyping and bench testing to educate key component selection (pumps, sensors, actuators), validate decisions and de-risk technical challenges. Individually contribute to mechanical/electromechanical design for critical fluidics subsystem components and assemblies and provide expert design review of other team-members designs. Lead cross-functional alignment across internal teams and external partners to ensure architectural integrity, V&V readiness, and production scalability. Collaborate with Systems & Test Engineering to drive design verification test planning and execution for fluid control hardware subsystems. Lead hardware sub-system risk management activities (e.g., FMEA). Organize system/sub-system-level technical design reviews to ensure coherent design across hardware, firmware and software interfaces. Collaborate with suppliers and internal operations representatives to perform root cause investigation, component lifecycle management and continuous improvement. Provide deep subject matter expertise toward the technology roadmap for fluidics and controls and related research endeavors. Partner closely with mechanical, electrical, software, systems, clinical, quality, regulatory and other cross-functional teams to bring prototypes to the market. Mentor junior and non-specialist engineering talent, promoting a collaborative and high-performance work environment. Who You Will Report To: Director, Vision and Sensor Systems Requirements: Bachelor's degree in Mechanical Engineering, Biomedical Engineering, Electrical Engineering, Mechatronics, or a related discipline. Master's or PhD in a relevant engineering discipline preferred. 15+ years of experience developing fluidic, mechatronic, or control systems in a regulated product environment. Experience with owning end-to-end hardware system architectures for fluidic control systems. Preferred familiarity with disposable fluidic component design and reusable/disposable system interfaces. Proven experience developing and tuning closed loop control systems for electromechanical hardware. Preferred experience with irrigation and aspiration systems, endoscopic or urological devices, or surgical fluid management platforms. Experience with pressure, flow, air in line, or occlusion detection preferred. Experience prototyping and testing systems at the bench and subsystem level, including proficiency with prototype embedded software development (e.g., C/C++, Python, or similar) to support hardware designs. Strong first-principles thinker with expert-level fundamentals in fluid dynamics applied to precision fluid delivery in complex devices. Ability to design experiments, analyze data, and translate results into design improvements. Clear technical communication skills and ability to influence across multidisciplinary teams. Experience leading external vendors and contract development firms. Exceptional structured problem-solving skills and experience leading multifunctional technical project teams through all development lifecycle phases. Prior work on medical devices or other safety critical products, including knowledge of IEC 60601, ISO 13485, and medical device design controls. Experience in requirements definition, design reviews, design verification, change management and risk control Ability to travel domestically and internationally up to 10% of the time. What We Offer: At Calyxo, you will be part of a knowledgeable, high-achieving, experienced, and fun team. You will work in a diverse work environment with experienced, proven leaders and have an opportunity to shape our company culture. You will experience constant learning and dynamic challenges to help you grow and be the best version of yourself. We also offer an attractive compensation package, which includes: A competitive base salary of $250,000 - $270,000 and variable incentive plan Stock options - ownership and a stake in growing a mission-driven company Employee benefits package that includes 401(k), healthcare insurance and paid vacation Calyxo is deeply committed to fostering an environment where diversity and inclusion are not only valued but also prioritized. We believe a diverse and inclusive community empowers us to act courageously, care deeply, and dream boldly to impact people in big ways. Diverse viewpoints bring diverse capabilities, which strengthen our focus and fuel our growth. Calyxo is proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status or any other applicable legally protected characteristics Legal authorization to work in the United States is required. In compliance with federal law, all persons hired will be required to verify their identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. Disclaimer: At Calyxo, we prioritize a transparent and structured interview process to ensure the best fit for both our candidates and our team. Please be aware of the following: Structured Interview Process : Our hiring process includes multiple stages of interviews where you will have the opportunity to communicate directly with Calyxo employees. This ensures that you gain a comprehensive understanding of the role and our company culture. Verification of Identity : We do not extend job offers without first meeting candidates, either virtually or in person. This step is crucial to maintain the integrity of our hiring process and to ensure mutual alignment. Beware of Scams : Calyxo will never request sensitive personal information, such as your full name, address, phone number, or identification documents, via email or online forms before an official interview. Calyxo representatives will always contact you using an email format of . If you receive a request for information from any other domain, please contact us directly at to verify the legitimacy of the communication. We appreciate your interest in joining Calyxo and look forward to getting to know you through our official channels.
Job Description Job Description Job description At , we solve the most complex and critical challenges by moving quickly from analysis to action when it really matters; creating value that has a lasting impact on companies, their people, and the communities they serve. We hold ourselves accountable by providing space for authenticity, growth, and equity for everyone. has embraced a hybrid work model to provide flexibility and support work-life integration. Travel is part of this position, but frequency may vary based on client, team, and individual circumstances. Relocation assistance is not available for this position. About the Role The Principal AI Engineer sits at the intersection of software engineering, data science, platform architecture, and AI governance. You will be the technical owner of how AI/ML engineering is designed, built, governed, and shipped across a portfolio of products serving all of domains. This is a hands-on engineering and technical leadership position. You will move fluidly between writing production code, architecting multi-tenant AI services, building internal developer tooling, leading security and governance design, and mentoring engineering teams. Your success is measured by team-level outcomes - scalable patterns that outlast your direct involvement. What You'll Do AI Productization & Platform Engineering Design and own the firm's AI productization & governance playbook, covering service patterns, security/compliance standards, model evaluation rubrics, and production-readiness criteria. Build and maintain reusable internal tooling, including AI service scaffolding, evaluation and monitoring tooling, and data infrastructure - designed for team adoption without ongoing hand-holding. Establish AI agent governance policies covering agent permissions, code execution controls, access to internal systems, and human-in-the-loop enforcement. Partner with Security, Legal, and Compliance to define SOC2/ISO-aligned AI controls, vendor DPA requirements, and prompt data classification policies. Establish standardized deployment patterns using containerization, infrastructure-as-code, and CI/CD pipeline templates reusable across teams. Developer Experience & Engineering Excellence Champion AI-assisted development practices across the engineering org, including LLM-integrated development workflows, test-driven development patterns, and reusable tooling standards that scale across teams. Codify modern software development standards (CI/CD, DevOps, testing, delivery quality) referenced by multiple teams as a baseline for new or re-platformed products. Mentor engineers and tech leads with observable improvement in delivery consistency, design quality, and production readiness rigor. Cross-Functional Leadership & Stakeholder Influence Serve as the go-to technical authority on AI/ML, platform architecture, and engineering practices - regularly consulted by senior stakeholders at the design and strategy stages. Bridge technical and non-technical stakeholders, translating complex architectural decisions, AI risk topics, and platform tradeoffs into clear, actionable guidance. What You'll Need Required 15+ years in software engineering, data science, or a closely related technical field. Bachelor's degree or higher in Computer Science, Engineering, or a related field. Deep expertise in AI/ML frameworks and the Python ecosystem, with hands-on experience deploying models to public cloud infrastructure. Demonstrated experience designing and operating multi-tenant AI services and LLM integrations in production. Proven track record leading microservices architecture - decomposing monoliths, defining service contracts, and operationalizing CI/CD for distributed systems. Strong hands-on command of containerization (Docker), infrastructure-as-code (Terraform), and modern DevOps practices. Substantive experience with AI/LLM security - including prompt injection, data boundary enforcement, model supply chain risk, and AI-specific threat modeling. Strong problem-solving skills, especially in building governance frameworks, evaluation rubrics, and reusable platform patterns at scale. Excellent written and verbal communication skills in English; ability to translate complex technical topics to diverse audiences, including executive stakeholders. Experience with Agile methodologies and cross-functional product team collaboration. Preferred / Additional Qualifications Experience applying AI/ML in business consulting, advisory, or professional services contexts. Familiarity with AI service interface and gateway design patterns, including emerging AI integration protocols. Contributions to open-source AI/ML projects, publications, or active involvement in technical communities. Advanced certifications in AI, deep learning, cloud architecture, or security (e.g., AWS/GCP/Azure ML, CISSP). Experience defining AI compliance controls for SOC2, ISO 27001, or TISAX frameworks. Demonstrated enthusiasm for developer education - writing internal guides, running workshops, or building internal tooling communities. Proficiency in additional languages is a plus (Go, Typescript) Demonstrated ability and enthusiasm to mentor and uplift junior team members or peers Willingness to work outside of normal business hours, and in particular as unique projects/needs arise. Ability to work full time in an office and remote environment; physically able to sit/stand at a computer and work in front of a computer screen for significant portions of the workday Must become familiar with, and promote and abide by, our Core Values as defined by the and foster an inclusive environment with people at all levels of an organization
09/28/2026
Full time
Job Description Job Description Job description At , we solve the most complex and critical challenges by moving quickly from analysis to action when it really matters; creating value that has a lasting impact on companies, their people, and the communities they serve. We hold ourselves accountable by providing space for authenticity, growth, and equity for everyone. has embraced a hybrid work model to provide flexibility and support work-life integration. Travel is part of this position, but frequency may vary based on client, team, and individual circumstances. Relocation assistance is not available for this position. About the Role The Principal AI Engineer sits at the intersection of software engineering, data science, platform architecture, and AI governance. You will be the technical owner of how AI/ML engineering is designed, built, governed, and shipped across a portfolio of products serving all of domains. This is a hands-on engineering and technical leadership position. You will move fluidly between writing production code, architecting multi-tenant AI services, building internal developer tooling, leading security and governance design, and mentoring engineering teams. Your success is measured by team-level outcomes - scalable patterns that outlast your direct involvement. What You'll Do AI Productization & Platform Engineering Design and own the firm's AI productization & governance playbook, covering service patterns, security/compliance standards, model evaluation rubrics, and production-readiness criteria. Build and maintain reusable internal tooling, including AI service scaffolding, evaluation and monitoring tooling, and data infrastructure - designed for team adoption without ongoing hand-holding. Establish AI agent governance policies covering agent permissions, code execution controls, access to internal systems, and human-in-the-loop enforcement. Partner with Security, Legal, and Compliance to define SOC2/ISO-aligned AI controls, vendor DPA requirements, and prompt data classification policies. Establish standardized deployment patterns using containerization, infrastructure-as-code, and CI/CD pipeline templates reusable across teams. Developer Experience & Engineering Excellence Champion AI-assisted development practices across the engineering org, including LLM-integrated development workflows, test-driven development patterns, and reusable tooling standards that scale across teams. Codify modern software development standards (CI/CD, DevOps, testing, delivery quality) referenced by multiple teams as a baseline for new or re-platformed products. Mentor engineers and tech leads with observable improvement in delivery consistency, design quality, and production readiness rigor. Cross-Functional Leadership & Stakeholder Influence Serve as the go-to technical authority on AI/ML, platform architecture, and engineering practices - regularly consulted by senior stakeholders at the design and strategy stages. Bridge technical and non-technical stakeholders, translating complex architectural decisions, AI risk topics, and platform tradeoffs into clear, actionable guidance. What You'll Need Required 15+ years in software engineering, data science, or a closely related technical field. Bachelor's degree or higher in Computer Science, Engineering, or a related field. Deep expertise in AI/ML frameworks and the Python ecosystem, with hands-on experience deploying models to public cloud infrastructure. Demonstrated experience designing and operating multi-tenant AI services and LLM integrations in production. Proven track record leading microservices architecture - decomposing monoliths, defining service contracts, and operationalizing CI/CD for distributed systems. Strong hands-on command of containerization (Docker), infrastructure-as-code (Terraform), and modern DevOps practices. Substantive experience with AI/LLM security - including prompt injection, data boundary enforcement, model supply chain risk, and AI-specific threat modeling. Strong problem-solving skills, especially in building governance frameworks, evaluation rubrics, and reusable platform patterns at scale. Excellent written and verbal communication skills in English; ability to translate complex technical topics to diverse audiences, including executive stakeholders. Experience with Agile methodologies and cross-functional product team collaboration. Preferred / Additional Qualifications Experience applying AI/ML in business consulting, advisory, or professional services contexts. Familiarity with AI service interface and gateway design patterns, including emerging AI integration protocols. Contributions to open-source AI/ML projects, publications, or active involvement in technical communities. Advanced certifications in AI, deep learning, cloud architecture, or security (e.g., AWS/GCP/Azure ML, CISSP). Experience defining AI compliance controls for SOC2, ISO 27001, or TISAX frameworks. Demonstrated enthusiasm for developer education - writing internal guides, running workshops, or building internal tooling communities. Proficiency in additional languages is a plus (Go, Typescript) Demonstrated ability and enthusiasm to mentor and uplift junior team members or peers Willingness to work outside of normal business hours, and in particular as unique projects/needs arise. Ability to work full time in an office and remote environment; physically able to sit/stand at a computer and work in front of a computer screen for significant portions of the workday Must become familiar with, and promote and abide by, our Core Values as defined by the and foster an inclusive environment with people at all levels of an organization
Job Description Job Description The future of aerospace and defense starts here. Ursa Major was founded to revolutionize how America and its allies access and apply high-performance propulsion, from hypersonics to solid rocket motors, satellite maneuvering and launch. We design and deliver propulsion and defense systems that solve the most urgent and critical national security demands. Ursa Major is bringing a new model to propulsion and defense technology: one where performance and access are no longer constrained by legacy systems. We design, build, and deploy advanced propulsion systems that power national security missions, hypersonic capabilities, and the future of space access. Our mission requires an extraordinary team-one that will mold tomorrow's critical technologies while deploying today's best. We are an intrinsically motivated team with a passion for solving complex technical problems and empowering each other every day, knowing that there is always room for growth. As a Principal DevOps Engineer within our Digital Operations team, you won't just be managing servers or responding to deployment tickets. You will be a principal technical leader and system architect responsible for owning and shaping Ursa Major's platform engineering, infrastructure automation, and software deployment strategies across cloud, on-premise, and manufacturing environments. Sitting at the vital intersection of Software Engineering, IT, Zero-Trust Networking, Digital Manufacturing, and Cybersecurity, you will build the foundational platforms that empower our engineering and manufacturing teams to design, test, and deliver mission-critical systems faster and more reliably. As Ursa Major expands, you will decompose complex technical challenges, author clear architecture designs, and drive pragmatic, high-impact solutions that connect our cloud environments directly to physical manufacturing and test-bench hardware. Responsibilities: Platform Architecture & Developer Experience Lead the research, design, and continuous improvement of platform infrastructure, software deployment, and Developer Experience (DX) across the enterprise. Decompose complex infrastructure problems into maintainable systems; author clear technical design documents and lead cross-functional teams through execution. Act as a strategic connector between Software Engineering, IT, and Networking to unify tooling, share infrastructure patterns, and eliminate operational silos. Infrastructure-as-Code (IaC), GitOps & High Availability (HA) Advance our declarative Infrastructure-as-Code (IaC) and GitOps practices (using Terraform, Helm, and ArgoCD/Flux) to deliver fully automated, drift-free application lifecycles across Azure GovCloud and AWS GovCloud. Extend containerization and orchestration (Kubernetes, Docker) beyond cloud environments into on-premise test benches, shop-floor PCs, and edge manufacturing hardware in alignment with our CMMC Level 2 hybrid strategy. Own Disaster Recovery (DR) and Business Continuity (BC) architecture-maintaining automated backup and failover capabilities that keep critical system recovery times measured in minutes, not days. DevSecOps & AI Pipeline Integration Partner with Cybersecurity and Zero-Trust teams to integrate automated vulnerability scanning, secrets management, and policy-as-code guardrails directly into CI/CD workflows without introducing developer friction. Architect and support automated pipelines for hosted and private AI models, enabling software and engineering teams to leverage high-throughput AI capabilities safely within our secure compliance boundary. Maintain continuous telemetry, metrics, and alerting frameworks (Prometheus, Grafana) to give engineers real-time visibility into application performance and pipeline health. Leadership, Mentorship & Impact Frame all technical initiatives in terms of maximum impact on overall business health, execution speed, and system reliability. Mentor and elevate engineers across the software and IT organizations, fostering a culture of analytical, value-driven problem-solving. Function as a top-level technical decision-maker, managing high-ambiguity challenges with high autonomy while maintaining psychological safety and clear standards of excellence Minimum Qualifications: 8+ years of professional DevOps, SRE, or Infrastructure/Platform Engineering experience, with a proven track record of principal-level technical leadership and system architecture. Hands-on mastery of Azure GovCloud and/or AWS GovCloud environments, with deep expertise in VPC networking, IAM, and cloud-native security controls. Advanced proficiency in Terraform, Docker, Kubernetes, Helm, and continuous delivery via GitOps patterns (ArgoCD, GitHub Actions, or Flux). Direct experience architecting high-availability systems, automated DR solutions, and telemetry suites (Prometheus, Grafana). Practical experience configuring automated container/code and centralized secrets management (AWS/Azure Key Vaults, HashiCorp Vault). Experience automating, deploying, or supporting hosted AI model integrations within production CI/CD pipelines. A proactive problem solver who builds trust across teams, rejects black-and-white thinking, and focuses on enabling business outcomes. Preferred Qualifications: Familiarity with NIST SP 800-171 / CMMC Level 2 compliance standards and securing CUI data flows. Experience with Artifactory, SonarQube, Open Policy Agent (OPA), Kyverno, or automated Software Bill of Materials (SBOM) tooling. Experience automating physical hardware, edge nodes, or shop-floor environments using Packer, Ansible, K3s, or Rancher. Experience orchestrating self-hosted or private AI model execution frameworks. Ability to obtain and maintain a U.S. Government Security Clearance. Colorado law requires us to tell you the base compensation range of this role, which is $175,000 - $215,000, determined by your education, experience, knowledge, skills, and abilities. The salary range for this role is intentionally wide as we are evaluating individuals based on their unique experience and abilities to fit our needs. Most importantly, we are excited to meet you and see if you are a great fit for our team. What we can't quantify for you are the exciting challenges, supportive team, and amazing culture we enjoy. Classification: Full-Time, Exempt Benefits Include: (Please note, Interns are not eligible for benefits) Unlimited PTO - Vacation, Sick, Personal, and Bereavement Paid Parental and Adoptive Leave Medical, Dental and Vision Insurance Tax Advantage Accounts (HSA/FSA) Employer Paid Short and Long Term Disability, Basic Life, AD&D Additional Benefit Options Including Voluntary Life and Emergency Medical Transport EAP Program Retirement Savings Plan - 401k with Company Match Equity Grants in the Company How To Apply: Interested candidates are encouraged to apply by filling out the application below and clicking "Submit Application". This position will be posted for a minimum of 3 days and will remain open until filled or adjusted based on the volume of applicants. NOTE: Research suggests that women and BIPOC individuals may self-select out of opportunities if they don't meet 100% of the job requirements. We encourage anyone who believes they have the skills and the drive necessary to succeed here to apply for this role. Must be a U.S. Person (this includes U.S. Citizens and Permanent Residents). Eligibility to obtain and maintain a U.S. Security Clearance. We're an equal-opportunity employer. You will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. No outside recruiters, please.
09/28/2026
Full time
Job Description Job Description The future of aerospace and defense starts here. Ursa Major was founded to revolutionize how America and its allies access and apply high-performance propulsion, from hypersonics to solid rocket motors, satellite maneuvering and launch. We design and deliver propulsion and defense systems that solve the most urgent and critical national security demands. Ursa Major is bringing a new model to propulsion and defense technology: one where performance and access are no longer constrained by legacy systems. We design, build, and deploy advanced propulsion systems that power national security missions, hypersonic capabilities, and the future of space access. Our mission requires an extraordinary team-one that will mold tomorrow's critical technologies while deploying today's best. We are an intrinsically motivated team with a passion for solving complex technical problems and empowering each other every day, knowing that there is always room for growth. As a Principal DevOps Engineer within our Digital Operations team, you won't just be managing servers or responding to deployment tickets. You will be a principal technical leader and system architect responsible for owning and shaping Ursa Major's platform engineering, infrastructure automation, and software deployment strategies across cloud, on-premise, and manufacturing environments. Sitting at the vital intersection of Software Engineering, IT, Zero-Trust Networking, Digital Manufacturing, and Cybersecurity, you will build the foundational platforms that empower our engineering and manufacturing teams to design, test, and deliver mission-critical systems faster and more reliably. As Ursa Major expands, you will decompose complex technical challenges, author clear architecture designs, and drive pragmatic, high-impact solutions that connect our cloud environments directly to physical manufacturing and test-bench hardware. Responsibilities: Platform Architecture & Developer Experience Lead the research, design, and continuous improvement of platform infrastructure, software deployment, and Developer Experience (DX) across the enterprise. Decompose complex infrastructure problems into maintainable systems; author clear technical design documents and lead cross-functional teams through execution. Act as a strategic connector between Software Engineering, IT, and Networking to unify tooling, share infrastructure patterns, and eliminate operational silos. Infrastructure-as-Code (IaC), GitOps & High Availability (HA) Advance our declarative Infrastructure-as-Code (IaC) and GitOps practices (using Terraform, Helm, and ArgoCD/Flux) to deliver fully automated, drift-free application lifecycles across Azure GovCloud and AWS GovCloud. Extend containerization and orchestration (Kubernetes, Docker) beyond cloud environments into on-premise test benches, shop-floor PCs, and edge manufacturing hardware in alignment with our CMMC Level 2 hybrid strategy. Own Disaster Recovery (DR) and Business Continuity (BC) architecture-maintaining automated backup and failover capabilities that keep critical system recovery times measured in minutes, not days. DevSecOps & AI Pipeline Integration Partner with Cybersecurity and Zero-Trust teams to integrate automated vulnerability scanning, secrets management, and policy-as-code guardrails directly into CI/CD workflows without introducing developer friction. Architect and support automated pipelines for hosted and private AI models, enabling software and engineering teams to leverage high-throughput AI capabilities safely within our secure compliance boundary. Maintain continuous telemetry, metrics, and alerting frameworks (Prometheus, Grafana) to give engineers real-time visibility into application performance and pipeline health. Leadership, Mentorship & Impact Frame all technical initiatives in terms of maximum impact on overall business health, execution speed, and system reliability. Mentor and elevate engineers across the software and IT organizations, fostering a culture of analytical, value-driven problem-solving. Function as a top-level technical decision-maker, managing high-ambiguity challenges with high autonomy while maintaining psychological safety and clear standards of excellence Minimum Qualifications: 8+ years of professional DevOps, SRE, or Infrastructure/Platform Engineering experience, with a proven track record of principal-level technical leadership and system architecture. Hands-on mastery of Azure GovCloud and/or AWS GovCloud environments, with deep expertise in VPC networking, IAM, and cloud-native security controls. Advanced proficiency in Terraform, Docker, Kubernetes, Helm, and continuous delivery via GitOps patterns (ArgoCD, GitHub Actions, or Flux). Direct experience architecting high-availability systems, automated DR solutions, and telemetry suites (Prometheus, Grafana). Practical experience configuring automated container/code and centralized secrets management (AWS/Azure Key Vaults, HashiCorp Vault). Experience automating, deploying, or supporting hosted AI model integrations within production CI/CD pipelines. A proactive problem solver who builds trust across teams, rejects black-and-white thinking, and focuses on enabling business outcomes. Preferred Qualifications: Familiarity with NIST SP 800-171 / CMMC Level 2 compliance standards and securing CUI data flows. Experience with Artifactory, SonarQube, Open Policy Agent (OPA), Kyverno, or automated Software Bill of Materials (SBOM) tooling. Experience automating physical hardware, edge nodes, or shop-floor environments using Packer, Ansible, K3s, or Rancher. Experience orchestrating self-hosted or private AI model execution frameworks. Ability to obtain and maintain a U.S. Government Security Clearance. Colorado law requires us to tell you the base compensation range of this role, which is $175,000 - $215,000, determined by your education, experience, knowledge, skills, and abilities. The salary range for this role is intentionally wide as we are evaluating individuals based on their unique experience and abilities to fit our needs. Most importantly, we are excited to meet you and see if you are a great fit for our team. What we can't quantify for you are the exciting challenges, supportive team, and amazing culture we enjoy. Classification: Full-Time, Exempt Benefits Include: (Please note, Interns are not eligible for benefits) Unlimited PTO - Vacation, Sick, Personal, and Bereavement Paid Parental and Adoptive Leave Medical, Dental and Vision Insurance Tax Advantage Accounts (HSA/FSA) Employer Paid Short and Long Term Disability, Basic Life, AD&D Additional Benefit Options Including Voluntary Life and Emergency Medical Transport EAP Program Retirement Savings Plan - 401k with Company Match Equity Grants in the Company How To Apply: Interested candidates are encouraged to apply by filling out the application below and clicking "Submit Application". This position will be posted for a minimum of 3 days and will remain open until filled or adjusted based on the volume of applicants. NOTE: Research suggests that women and BIPOC individuals may self-select out of opportunities if they don't meet 100% of the job requirements. We encourage anyone who believes they have the skills and the drive necessary to succeed here to apply for this role. Must be a U.S. Person (this includes U.S. Citizens and Permanent Residents). Eligibility to obtain and maintain a U.S. Security Clearance. We're an equal-opportunity employer. You will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. No outside recruiters, please.
