981 jobs found

R Senior Application Security & Compliance Analyst (Open) Location: Radnor, PA (Airgas HO) - Management - Digital & IT Airgas How will you CONTRIBUTE and GROW? At Airgas, we are committed to building a diverse and inclusive workplace that embraces the diversity of our employees, our customers, patients, community stakeholders and cultures across the world. Airgas is Hiring for a Senior Application Security & Compliance in Radnor, Pennsylvania! We are looking for you ! Bachelor's degree in Computer Science, Information Systems Candidates must be legally authorized to work in the U.S. without current or future sponsorship. Work schedule: This is a hybrid role requiring three days in the office and two days remote. Recruiter: Roseanne Khachikyan Recruiter Neelam Patel The Senior Application Security & Compliance Analyst is the primary internal subject matter expert (SME) responsible for the security and performance optimization of the global Customer Experience (CX) digital ecosystem. This role ensures compliance across core Salesforce products, connected SaaS platforms, and edge delivery infrastructure. They also lead the transition of security and edge management functions to internal operations, acting as the final technical escalation point while balancing robust protection with high-performance CX needs. SaaS Governance and Configuration: Lead the security configuration and account management for the CX SaaS stack (including Coveo, Contentful, Viamedici, Bynder) and manage Customer Data Architecture (CDA) SaaS integrations to ensure secure data exchange. Application and Infrastructure Security: Lead the end-to-end setup and management of Cloudflare CDN services, overseeing WAF/WAAP, Bot Management, DDoS protection, CDN optimization, and SSL/TLS/DNS management. Application Security Lifecycle and Identity Management: Conduct deep-dive security reviews, coordinate the lifecycle of penetration testing and vulnerability remediation, and directly oversee Okta CIAM implementation, security, and permission model auditing. Compliance and Vendor Transition: Serve as the technical lead for PCI compliance across the CX ecosystem and successfully transition legacy security and CDN management functions from external providers to internal operations. Are you a MATCH? Required Qualifications Bachelor's degree in Computer Science, Information Systems, or a relevant technical area, or equivalent demonstrated experience. People Management: Proven experience leading teams of senior technical contributors or architects. Platform Expertise: Minimum of 5 years of experience as a Software Solution Architect with a focus on eCommerce or Salesforce technology (Commerce, Marketing, Sales, Data 360, and CPQ). Security Depth: 8+ years of progressive experience in Information Security or Security Engineering, with specific expertise in OWASP Top 10, API security, and Edge Security (Cloudflare/CDN). DevSecOps Tooling: Hands-on experience with GitHub SaaS, SonarQube, and Atlassian Tools. Preferred Qualifications Expert-level knowledge of Cloudflare CDN, including WAF/WAAP tuning, Bot Management, and performance optimization. Deep knowledge of security principles in cloud environments (AWS/GCP) and securing complex SaaS solutions. Hands-on experience with security testing tools (vulnerability scanners, SAST, DAST) and SSO protocols (SAML, OAuth). Proven experience securing headless or composable SaaS architectures like Contentful, Coveo, and Bynder. Exceptional ability to articulate complex security and edge delivery risks to non-technical CX stakeholders. Benefits We care about and support our Airgas Families. This is evident not only through our competitive compensation but also through a comprehensive benefits package that includes medical, dental, and vision plans, short-term and long-term disability, life and accidental death and dismemberment (AD&D) insurance, Employee Assistance Program (EAP), pre-tax commuter transportation benefit, parental leave, vacation, sick time, floating holidays, jury duty and funeral/bereavement leave, and paid holidays for all eligible full-time employees. Additionally, we offer our eligible employees a 401k plan with company matching funds, tuition reimbursement, discounted college tuition for eligible employees' dependents, and an Airgas Scholarship Program for dependent children. Associates who are members of collective bargaining units should review their bargaining agreement to determine whether they are eligible for some or all of the benefits described here and to see any special terms or conditions for eligibility. _ Your DIFFERENCES enhance our PERFORMANCE At Airgas, we are committed to building a workplace that embraces the diversity of our employees, our customers, patients, community stakeholders and cultures across the world. We welcome and consider applications from all qualified applicants, regardless of their race, gender, sexual orientation, religion, disability or any other protected characteristic. We strongly believe a diverse organization opens up opportunities for people to express their talent, both individually and collectively and it helps foster our ability to innovate by living our fundamentals, acting for our success and creating an engaging environment in a changing world. _ About Airgas Airgas, an Air Liquide company, is a leading U.S. supplier of industrial, medical and specialty gases, as well as hardgoods and related products; one of the largest U.S. suppliers of safety products; and a leading U.S. supplier of ammonia products and process chemicals. Through the passion and diversity of its 18,000 associates, Airgas fosters a culture of safety, customer success, sustainability and innovation. Airgas associates are empowered to share ideas, take initiative and make decisions. Airgas is a subsidiary of Air Liquide, a world leader in gases, technologies and services for industry and healthcare. Present in 60 countries with approximately 66,500 employees, Air Liquide serves more than 4 million customers and patients. Join us for a stimulating experience: At Airgas, you matter and so does the work you do. As a member of our team, you play an important role in the success of your team, making sure our products are created sustainably and delivered safely and efficiently. In turn, you'll find a welcoming workplace where you're valued for who you are and where you can fill your potential while growing a fulfilling career - whatever path you choose. _ Equal Employment Opportunity Information We are an equal opportunity employer. We welcome all qualified applicants regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic. Airgas, an Air Liquide Company is a Government contractor subject to the Vietnam Era Veterans' Readjustment Assistance Act of 1974 and Section 503 of the Rehabilitation Act of 1973. Airgas does not discriminate against qualified applicants with disabilities, and is committed to providing reasonable accommodations to the known disabilities of such individuals so as to ensure equal access to benefits and privileges of employment. If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact us by email at . _ California Privacy Notice

R Sr. Firmware Engineer (Open) Location: Cheshire, CT (ATS) - Management How will you CONTRIBUTE and GROW? At Airgas, we are committed to building a diverse and inclusive workplace that embraces the diversity of our employees, our customers, patients, community stakeholders and cultures across the world. Airgas is Hiring for a Sr. Firmware Engineer in Cheshire, CT ! We are looking for you ! Travel: Occasionally (1-10% of work time) In-office role- M-F Pay: 130-145K Senior Firmware Engineer with 5+ years of experience developing embedded systems. The candidate will be accountable for designing, building, and testing embedded firmware/software for wireless electronic products for the gas industry. The candidate will work within a multidisciplinary team and be responsible for new products from their design stage through commercialization. We require an individual that is comfortable and competent in the role of a firmware technical leader with experience in firmware development including but not limited to C and RTOS. ESSENTIAL DUTIES AND ACCOUNTABILITIES: Design, build, test, and document microprocessor based firmware for wireless electronic products from concept, feasibility, prototyping through production. Create embedded firmware and software in widely used software development environments (e.g. IAR Systems, AVR Studio, Eclipse, MPLab IDE, Zephyr). Create software design requirements, test plan and test results documentation for various platforms. Work closely with hardware engineers in specifying components for efficient firmware design. Working with hardware team and others, create and design PC based software to create production, manufacturing and product validation test fixtures Conduct system functional tests and troubleshoot products and equipment as required. Provide and continuously communicate time and cost estimates for projects. Provide ongoing technical assistance to manufacturing. Are you a MATCH? Required Qualifications: BS+ in Software Engineering, Electrical Engineering or Computer Science. 5+ years of experience designing, building, and testing firmware and hardware for embedded systems. Experience generating firmware for 8-bit, 32-bit single or dual core microprocessor systems including use of peripheral devices such as A-D converters, voltage/current switches/regulators/controllers/monitors, batteries, solar panels, and charging system controllers in assembly, C or other higher languages. Familiarity with communication protocols such as SPI, I2C, Ethernet, TCP/IP, wireless networks desired. Experience in Low power applications for fielded devices. Experience with revision control applications and documentation, e.g. Git, GitHub, TortoiseGit, Doxygen Experience with PC based software for controlling electronic products including but not limited to VB, Visual Studio. NET, C #, LabView. Experience with Yocto Linux and real time operating systems (RTOS) for embedded systems Experience in BSP development and RPM creation for Linux based microprocessors. Experience using oscilloscopes, network analyzers, spectrum analyzers and basic lab tools and instruments. Desired direct design experience with RF wireless communication technologies such as Wifi, 4G, 5G, Mesh network, Bluetooth, Sigfox and LoRa. Experience working with FPGA firmware including but not limited to Verilog, VHDL etc. desired. Advanced mathematical skills relevant to the application of firmware/software engineering Preferred Qualifications: Experience in BSP development for IMX93 core processor. Experience in Zephyr RTOS development for Ublox NORA-B120. COMPUTER SKILLS: Comfortable using firmware development tools (IDE). Comfortable programming microprocessors using industry standard practices and tools. Comfortable documenting software and associated activities. Comfortable using typical tools to develop, test and troubleshoot firmware. Experience with mathematical and simulation tools a plus Basic knowledge of Google applications and Gmail Able to save and maintain electronic files COMMUNICATION and/or CRITICAL THINKING SKILLS: Ability to read, analyze and interpret general business periodicals, professional journals, technical procedures, or governmental regulations Ability to write routine business reports and business correspondence in English Ability to effectively present information and respond to questions from employees and/or customers Ability to solve practical problems and deal with a variety of concrete variables in situations where only limited standardization exists Ability to read and interpret documents such as safety rules, operating and maintenance instructions, and procedure manuals using the English language Strong organizational skills and the ability to handle high-level multi-tasking Strong written and oral communication skills Strong attention to detail Benefits We care about and support all Airgas associates. This is evident not only through our competitive compensation but also through a comprehensive benefits package that includes medical, dental, and vision plans, vacation, sick time, floating holidays, and paid holidays for full-time employees. We provide a progressive parental leave package for our eligible Airgas parents, offering generous paid time off for the birth or placement of children. Additionally, we offer our employees a 401k plan with company matching funds, tuition reimbursement, discounted college tuition for employees' dependents, and an Airgas Scholarship Program. _ Your DIFFERENCES enhance our PERFORMANCE At Airgas, we are committed to building a workplace that embraces the diversity of our employees, our customers, patients, community stakeholders and cultures across the world. We welcome and consider applications from all qualified applicants, regardless of their race, gender, sexual orientation, religion, disability or any other protected characteristic. We strongly believe a diverse organization opens up opportunities for people to express their talent, both individually and collectively and it helps foster our ability to innovate by living our fundamentals, acting for our success and creating an engaging environment in a changing world. _ About Airgas Airgas, an Air Liquide company, is a leading U.S. supplier of industrial, medical and specialty gases, as well as hardgoods and related products; one of the largest U.S. suppliers of safety products; and a leading U.S. supplier of ammonia products and process chemicals. Through the passion and diversity of its 18,000 associates, Airgas fosters a culture of safety, customer success, sustainability and innovation. Airgas associates are empowered to share ideas, take initiative and make decisions. Airgas is a subsidiary of Air Liquide, a world leader in gases, technologies and services for industry and healthcare. Present in 60 countries with approximately 66,500 employees, Air Liquide serves more than 4 million customers and patients. Join us for a stimulating experience: At Airgas, you matter and so does the work you do. As a member of our team, you play an important role in the success of your team, making sure our products are created sustainably and delivered safely and efficiently. In turn, you'll find a welcoming workplace where you're valued for who you are and where you can fill your potential while growing a fulfilling career - whatever path you choose. _ Equal Employment Opportunity Information We are an equal opportunity employer. We welcome all qualified applicants regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic. Airgas, an Air Liquide Company is a Government contractor subject to the Vietnam Era Veterans' Readjustment Assistance Act of 1974 and Section 503 of the Rehabilitation Act of 1973. Airgas does not discriminate against qualified applicants with disabilities, and is committed to providing reasonable accommodations to the known disabilities of such individuals so as to ensure equal access to benefits and privileges of employment. If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact us by email at . _ California Privacy Notice

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. Multiple Positions Available COMPANY: McKesson Corporation POSITION: Sr. Software Developer LOCATION: 6555 State Highway 161, Irving, TX 75039 JOB DUTIES: Lead architecting, development, and deployment for internal-facing web-based applications and data access points to provide a wide array of services supporting strategic US Oncology Network goals. Understand core operations and functionality of a strategic data and analytics team and combine that with best practices around securing PHI and other sensitive data on public cloud infrastructure to provide an internal service and connection points to other interfaces. Engineer and implement internal facing applications for managing team data, models, and operations by analyzing functional or technical requirements. Integrate with multiple data assets and the data and analytics platform to make content available following best practices and strict PHI requirements. Integrate with security frameworks, content management databases, and other internal McKesson systems. Be a technical and innovation leader to drive change in how data and analytics are used to meet business objectives by using technical and industry knowledge. Establish strong working relationships with senior management and internal stakeholders to understand business needs and prioritize work streams for the platform and data access strategic roadmap. Lead deployment schedule and communications for the webbased application and analytics platform. Proactively and independently learns and utilizes new technology, concepts and procedures as appropriate to project requirements. Maintains current knowledge of industry technology trends. Telecommuting allowed from a home office anywhere in the U.S. REQUIREMENTS: Bachelor's Degree in Computer Science, or related field of study and Four (4) years of experience in the job offered, as a Backend Programmer, Frontend Programmer or a related occupation. Employer will also accept Master's Degree in Computer Science, or related field of study and Two (2) years of experience in the job offered, as a Backend Programmer, Frontend Programmer or a related occupation in lieu of the Bachelor's Degree in and Four (4) years of experience. Experience must include 2 years in the following skills: Back-end web development; Development SQL database software; Ruby on Rails; VueJS; MSSQL; PostgreSQL; Git; Sidekiq; Docker; RSpec. OFFERED WAGE: $134,971-189,600/year CONTACT: To apply, please send resumes to . Reference #: 001770 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. 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. 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!

Machine Learning Development Design, build, and deploy robust ML models using Python and industry-standard ML frameworks (TensorFlow, PyTorch, Scikit learn, XGBoost, etc.). Collaborate with data scientists to translate prototypes into production-ready systems. Perform feature engineering, data preprocessing, model selection, hyperparameter tuning, and performance optimization. MLOps & Productionalization Develop and maintain ML pipelines using AWS SageMaker, MLflow, H2O.ai, and other automation tools. Implement best practices for model versioning, lineage tracking, model performance monitoring, and retraining. Set up CI/CD pipelines for ML services and automate deployment workflows. Cloud & Distributed Systems Architect and operate scalable ML workflows in AWS, including SageMaker, Step Functions, S3, ECR, CloudWatch, IAM, etc. Build and optimize distributed data processing pipelines using PySpark and AWS EMR. Ensure reliability, scalability, and cost efficiency of ML environments. Data Engineering Integration Work closely with data engineering teams to build robust data ingestion and transformation pipelines. Improve data quality, reliability, and observability for ML use cases. Heavy hands-on coding with PySpark, SQL, and Python-based ETL workflows. Collaboration & Leadership Provide technical mentorship and guidance to junior ML engineers and data scientists. Lead architectural discussions and participate in design reviews. Partner with cross-functional teams to scope and deliver ML-driven products. Required Qualifications 5-8+ years of professional experience in ML engineering, data engineering, or related fields. Expert-level proficiency in Python and ML frameworks (Scikit learn, TensorFlow, PyTorch, H2O, XGBoost, etc.). Hands-on experience with AWS SageMaker for training, tuning, deployment, and pipeline automation. Strong knowledge of H2O.ai (Driverless AI or H2O3), AutoML frameworks, and enterprise ML workflows. Proficient with MLflow for experiment tracking, model packaging, and deployment. Advanced experience with PySpark and distributed data processing. Experience with AWS EMR for Spark cluster management and large scale data transformations. Solid understanding of MLOps concepts: CI/CD for ML, feature stores, monitoring, drift detection, model governance. Strong background in object oriented programming, algorithm design, and software engineering best practices. Experience with Docker and containerized ML workloads. Preferred Qualifications Knowledge of Kubernetes (EKS) for ML deployment. Experience implementing model monitoring systems (e.g., Neptune, SageMaker Model Monitor, custom solutions). Familiarity with microservices, REST APIs, and event-driven architectures. Experience with large language models (LLMs) and vector databases is a plus. Soft Skills Excellent problem-solving and analytical skills. Strong communication and documentation abilities. Ability to operate in a fast-paced, cross-functional environment. Passion for experimentation, innovation, and continuous improvement

Job Description Overview The Senior Software Engineer will design, build, and optimize web applications, APIs, and content delivery systems that power the company's digital presence across multiple brands. In this senior individual-contributor role, you will lead the design and delivery of scalable, cloud-based web experiences and integrations, applying strong software engineering practices and modern DevOps principles. Your technical depth, problem-solving ability, and collaboration skills will help evolve the company's web platform, enabling faster time to market, improved site performance, and a consistent brand experience. Candidate Characteristics Candidates must have a strong background in Agile engineering and teamwork methodologies. They should be charismatic, motivated by end results, and have a high tolerance for ambiguity. They should focus on achieving success through people, be engaged with evolving practices, and understand the broader strategy for Agile engineering. DESIRED TRAITS Ability to contribute as part of a high-performing team Ability to operate autonomously as needed Ability to mentor team members A strong focus on enabling other people's success High emotional intelligence High tolerance for ambiguity; unflappable High integrity Self-confidence Driven by continuous learning Technical ingenuity and experience Uses business value and outcomes to guide technical decisions CORE COMPETENCIES Committed clean coder Strong test-first/test-driven approach Full-stack development capability spanning headless CMS, frontend frameworks, and backend APIs Skilled in story writing with clear acceptance criteria and business value focus Experience in eXtreme Programming and Domain-Driven Design Competence in value assessment to prioritize and deliver work based on business impact Leverages Release Planning practices to break down complex work into deliverable increments Skilled in collaborative development, including paired/ensemble programming and code reviews Strong verbal and written communication skills for clearly conveying ideas Constructive conflict resolution and facilitation skills Stakeholder management, including aligning multiple stakeholders' needs System modernization, legacy migration, and technical debt reduction techniques Continuous build / continuous integration / continuous delivery Agile testing and DevOps automation Object-oriented design (OOD) and design patterns Software craftsperson with a broad range of techniques Exploring and applying modern paradigms such as headless CMS architecture, server-side rendering (SSR), static site generation (SSG), and component-driven design TECHNICAL FOCUS Design, develop, and maintain web applications using Next.js (React) with server-side rendering and static generation Build and maintain .NET Core / C# APIs that serve as the backend layer between WordPress headless CMS and the Next.js frontend Work with WordPress as a headless CMS - building and consuming GraphQL APIs for content delivery Build and optimize cloud-native applications hosted on Azure AKS Implement reusable, modular component libraries and page templates for multi-brand site consistency Optimize Core Web Vitals and site performance across desktop and mobile Experience with web frontend frameworks - Next.js required; familiarity with Angular or Vue a plus Experience with Cloud platforms - Azure required; AWS or GCP familiarity a plus Use relational databases such as SQL Server Apply CI/CD pipelines with Azure DevOps using YAML Implement automated testing (unit, integration, E2E), code review, and observability best practices Participate in DevOps practices including infrastructure as code using Terraform Experience with SEO technical implementation including structured data / schema markup is a plus RESPONSIBILITIES Craft and refine user stories with clear business value and acceptance criteria Apply value assessment, release planning, and stakeholder management to ensure delivery alignment with business priorities Apply modern software engineering principles, including modular architecture, clean code, and scalable API design Design, develop, and maintain the headless CMS integration layer connecting WordPress, .NET APIs, and Next.js frontends Collaborate with product, marketing, and SEO teams to define content models, integration patterns, and performance goals Implement secure authentication, authorization, and data protection practices across services Facilitate collaborative development practices, including paired/ensemble programming and code reviews Build and maintain trusted relationships with stakeholders at all levels, fostering alignment and transparency Apply strong communication and conflict resolution skills to promote productive discussions and decision-making Provide informal mentoring and coaching to team members Support monitoring, logging, and alerting for web platform health and performance Contribute to the migration of legacy brand sites to the new headless architecture

Job Description Overview The Lead Software Engineer - Mobile designs, builds, and optimizes software systems, mobile applications, and websites that power critical business operations across the organization. In this lead role, you will lead the design and delivery of scalable, cloud-based mobile applications and integrations, applying strong mobile software engineering practices and modern DevOps principles. Your technical depth, problem-solving ability, and collaboration skills will help evolve the company's digital foundation, enabling data-driven decision-making and operational excellence. Candidate Characteristics Candidates must have a strong background in Agile engineering and teamwork methodologies. They should be charismatic, motivated by end results, and have a high tolerance for ambiguity. They should focus on achieving success through people, be engaged with evolving practices, and understand the broader strategy for Agile engineering. DESIRED TRAITS • Ability to lead a high-performing team • Ability to operate autonomously as needed • Ability to lead and mentor team members • A strong focus on enabling other people's success • High emotional intelligence • High tolerance for ambiguity; unflappable • High integrity • Self-confidence • Driven by continuous learning • Technical ingenuity and experience • Uses business value and outcomes to guide technical decisions CORE COMPETENCIES • Committed clean coder • Strong test-first/test-driven approach • Mobile development capability • Skilled in story writing with clear acceptance criteria and business value focus • Experience in eXtreme Programming and Domain-Driven Design • Competence in value assessment to prioritize and deliver work based on business impact • Leverages Release Planning practices to break down complex work into deliverable increments • Skilled in collaborative development, including paired/ensemble programming and code reviews • Strong verbal and written communication skills for clearly conveying ideas • Constructive conflict resolution and facilitation skills • Stakeholder management, including aligning multiple stakeholders needs • System modernization and technical debt reduction techniques • Continuous build / continuous integration / continuous delivery • Agile testing and DevOps automation • Object-oriented design (OOD) and design patterns • Software craftsperson with a broad range of techniques • Exploring and applying modern paradigms such as event-driven, reactive, or microservice architectures REQUIRED SKILLS & EXPERIENCE • 5+ years of professional experience building production mobile applications, with at least 3+ years focused on React Native (must-have). • Proven track record of shipping and maintaining high-quality, user-facing iOS and Android apps built with React Native. • Strong proficiency in JavaScript/TypeScript, React fundamentals, and modern React Native ecosystem tools (e.g., Expo or bare workflow, Hermes engine, Reanimated, Gesture Handler). • Deep understanding of mobile performance optimization, memory management, bridge communication, and debugging complex cross-platform issues. • Experience leading technical projects or small-to-medium engineering teams - including code reviews, architecture decisions, and mentoring junior/senior developers. • Familiarity with state management (Zustand, MobX, Redux Toolkit), navigation (React Navigation), REST/GraphQL APIs, and mobile authentication flows (OAuth, JWT, biometrics). • Experience with CI/CD for mobile, app distribution, crash reporting, and monitoring tools. • Solid understanding of native iOS (Swift/Objective-C) and Android (Kotlin/Java) development - enough to write or debug native modules when required. • Bachelor's degree in Computer Science, Engineering, or equivalent practical experience. PREFERRED SKILLS & EXPERIENCE • Experience with Expo ecosystem, React Native Web, or full-stack contributions (Node.js, Next.js). • Knowledge of modern mobile testing frameworks (Detox, Jest, Appium). • Prior experience in performance-critical apps (e.g., media, fintech, e-commerce, real-time features). • Familiarity with agile methodologies and tools like Jira and Azure DevOps. • Exposure to Cloud technology such as Azure, AWS, or GCP. • Exposure to Flutter is a plus but not required. • Basic experience in .NET API technology is preferred but not required. RESPONSIBILITIES • Lead the end-to-end development of mobile applications, from architecture and prototyping to deployment and post-launch optimization. • Design scalable, maintainable mobile architectures using modern React Native patterns (e.g., functional components, hooks, TypeScript, Zustand/Redux/Jotai, React Navigation). • Architect and implement performant solutions, including complex UI/UX, offline capabilities, push notifications, deep linking, analytics, and native module integrations when needed. • Mentor and grow a team of mobile engineers - conduct code reviews, pair programming, technical coaching, and career development discussions. • Champion best practices: clean code, TDD/unit/integration testing, CI/CD pipelines for mobile (Fastlane, GitHub Actions, etc.), code quality tools, and performance monitoring (e.g., Flipper, Sentry, Firebase Performance). • Collaborate with product managers, designers, and backend teams to translate business requirements into robust technical solutions. • Evaluate and integrate third-party libraries, SDKs, and native modules (Swift/Kotlin bridges) while maintaining cross-platform consistency. • Drive performance optimization, accessibility, internationalization, and security best practices for mobile apps. • Own app store release processes, including App Store Connect / Google Play Console management, beta testing, and live ops monitoring. • Stay current with the React Native ecosystem, iOS/Android platform changes, and emerging mobile trends.

Company Overview: Integrated Data Services (IDS) is a leading provider of custom software products and Government financial management services. IDS was founded in 1997 in El Segundo, CA, and since that time has seen tremendous growth and success. Currently, IDS has offices supporting customers nationwide. By providing customers with fast, efficient and reliable information systems and support services, IDS has become a preferred provider of financial and programmatic systems, services and solutions across a wide variety of government agencies. Position Description: IDS is currently searching for a DevSecOps Engineer with deep expertise in AWS cloud infrastructure, containerization, and security automation. You will be responsible for architecting and implementing secure CI/CD pipelines, managing Kubernetes clusters, deploying infrastructure as code using Terraform/OpenTofu, and embedding security controls throughout the software development lifecycle. The ideal candidate is a proactive problem solver who balances security requirements with operational efficiency and development velocity. The candidate will have opportunities to expand their skill set by working with emerging security tools, implementing compliance-as-code frameworks, and collaborating across development, operations, and security teams to build resilient, secure systems Core DevOps Skills: 3+ years of experience in AWS cloud services (EC2, ECS/EKS, S3, Lambda, RDS, ALB, VPC, IAM) is required 3+ years of experience in Container technologies (Docker and/or Podman) is required 3+ years of experience in CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions, or similar) is required 3+ years of experience in Git version control and branching strategies is required 2+ years of experience in Infrastructure as Code (Terraform and/or OpenTofu) is required 2+ years of experience in Kubernetes orchestration (deployment, scaling, monitoring, troubleshooting) is required 2+ years of experience in Configuration management (Ansible, Chef, or Puppet) is preferred 2+ years of experience in Monitoring and observability (Prometheus, Grafana, ELK stack, CloudWatch) is preferred Security Tools & Practices: 3+ years of experience in DevSecOps practices (security automation, shift-left security) is required 2+ years of experience in Container security scanning (Trivy, Aqua, Twistlock, Anchore, or similar) is required 2+ years of experience in Static/Dynamic Application Security Testing (SAST/DAST tools like SonarQube, Checkmarx, OWASP ZAP) is required 2+ years of experience in Integrating security gates into CI/CD pipelines is required 2+ years of experience in Secrets management (Vault, AWS Secrets Manager, or similar) is required 2+ years of experience in Vulnerability management and remediation workflows is required 1+ years of experience in Software Composition Analysis for dependency scanning (Trivy, Snyk, or similar) is preferred Compliance & Hardening: 2+ years of experience in Security compliance frameworks (NIST, STIG, CIS benchmarks, FedRAMP) is required 2+ years of experience in Security hardening and baseline configuration is required 2+ years of experience in Audit logging and security event monitoring is required Security Architecture: 2+ years of experience in Identity and Access Management (IAM policies, RBAC) is required 2+ years of experience in Network security (security groups, NACLs, WAF, network segmentation) is required 1+ years of experience in Certificate management and PKI is required 2+ years of experience in Security code review practices is preferred 2+ years of experience in Container and Kubernetes security (Pod Security Standards, Network Policies, image signing) is preferred Integration & Data Tools: 2+ years of experience in API gateway management is preferred 1+ years of experience in ETL platforms (Talend and/or Apigee) is preferred Scripting & Programming: 3+ years of experience in Scripting languages (Python, Bash, or Go) is required 3+ years of experience in YAML/JSON configuration is required Soft Skills: Must have security mindset and risk assessment thinking Must have strong problem-solving and troubleshooting abilities Must be able to balance security requirements with development velocity Cross-functional collaboration with development and operations teams is required Documentation and knowledge sharing is required Communication of security risks to technical and non-technical stakeholders is required Incident response and on-call readiness is required Staying current with emerging security threats and vulnerabilities is required Education & Certifications: This position requires a minimum of a Bachelor's degree from an accredited college or university in Engineering, Information Technology, Computer Science or related field is preferred. Experience in lieu of education may be considered if the individual has 4 or more years of equivalent technical training or work/military experience. Relevant certifications to include AWS Certified Solutions Architect, CKA, Terraform Associate are preferred Security certifications to include Security+, CISSP, CEH, or similar are highly desired Cloud security certifications to include AWS Security Specialty, Azure Security Engineer) are preferred Physical & Mental Qualifications: Must be able to sit, type, hear, see, and speak for extended periods of time. Must consistently work and type on a computer for prolonged periods of time. Must be able to able to communicate accurate information and ideas so others will understand. Must be able to lift/carry at least 15 lbs. May be required to move about inside an office to access file cabinets, office supplies, etc. Security Clearance: Applicants selected for employment will be subject to a federal background investigation and must meet additional eligibility requirements for access to classified information or materials. Active Secret clearance preferred; ability to obtain and maintain required clearance is mandatory. Travel: Some travel may be required. Hours: Normal work schedule hours may vary, Monday through Friday. May be required to work additional hours and/or weekends, as needed, to meet deadlines or to fulfill travel obligations. Salary Range: $140,000 - $160,000 per year The estimated salary range listed is a good faith determination of potential base compensation that may be offered to a successful applicant for this position at the time of this job posting and may be modified in the future. The disclosed salary range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. When determining an applicant's compensation, various factors are taken into consideration including, but not limited to: geographic location, relevant prior work experience, relevant training, special skills/competencies, education, clearance, licenses/certifications, labor categories/contract rates and other business needs. IDS offers a robust benefits package including employer paid health, dental, vision, disability, AD&D and life insurance plans for eligible employees. IDS also offers a variety of elective plans to eligible employees including flexible spending accounts, voluntary life insurance and supplemental insurance plans. Benefits become effective the first of the month following the start date of employment unless starting on the 1st of the month, in which case benefits are effective immediately upon the eligible employee's start date. IDS offers eligible employees eleven (11) paid holidays, generous PTO accruals starting at three (3) weeks per year, as well as a 401(k) safe harbor contribution upon eligibility. IDS also offers generous employee referral bonuses. IDS is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regards to age (40 and over), color, physical or mental disability, gender identity or expression, genetic information (including family medical history), national origin or ancestry, race, religion, sex, pregnancy (including childbirth and related medical conditions), sexual orientation, citizenship status, veteran status, uniformed service member status, or any other characteristic protected by federal, state, or local law. IDS participates in E-Verify. To learn more about E-Verify, including your rights and responsibilities, please visit A submission of a resume is an expression of interest and not considered an application. For more information, visit . Disclaimer: This job description is intended to provide an overview of job responsibilities that are subject to change. U.S. citizenship is required; H1-B visas and other visas are not being sponsored. Relocation expenses are NOT compensated. All jobs are employer paid; no fees to candidates. Third parties or agency inquiries are not being accepted at this time.

Our client, a global leader in precision engineered solutions and hardware, has an immediate need for an experienced Senior Embedded Software Engineer, to join their winning team in Rochester. Our candidate of choice will research, design, and develop embedded software systems in collaboration with hardware product development. This role requires a high level of independence and leadership, particularly in complex projects, and involves managing the full software development lifecycle, contributing to technology strategy, on-time delivery of software projects, and mentoring junior engineers. KEY RESPONSIBILITIES: Design, implement, and optimize embedded motion control, servo, and I/O systems to meet aggressive performance, determinism, and reliability requirements. Own critical subsystems within larger product architectures. Serve as a technical authority for EtherCAT and real-time fieldbus architectures. Lead the design and implementation of high-performance communication stacks, synchronization strategies, and distributed systems between controllers and drives. Lead integration and optimization of multiple industrial protocols. Ensure robust interoperability with third-party systems and controllers. Contribute to and own portions of system-level architecture for embedded platforms, spanning firmware, real-time OS, communication layers, and hardware/firmware boundaries. Translate high-level architectural direction into robust subsystem designs that scale across products. Research and integrate new technologies to enhance product capabilities. Coordinate technologies with industry partners and vendors; interface with vendors to select/customize purchased software, support programs, and hardware such as single board computers. Investigate and resolve software issues, implementing enhancements and optimizations. Oversee all phases of software development (design, coding, testing, documentation, deployment, and maintenance). Create and maintain verification and regression tests for all aspects of the design of developed products. Manage projects independently, adapting to complexity and scale. Support a culture of continuous improvement and innovation within the team, engaging in advanced training and professional development initiatives. Collaborate with cross-functional teams to ensure cohesive system design and support the alignment of software development projects with organizational goals and product roadmaps. Adhere to best practices in software development and documentation, ensuring compliance with industry standards and regulatory requirements. Stay updated with emerging technologies and methodologies to contribute to efficiencies and competitive advantages in software engineering processes. Provide mentorship and technical guidance to junior engineers. Contribute to technology roadmaps and strategic planning for software development. Lead efforts in continuous improvement, innovation, and best practices. Lead and actively participate in all phases of the product lifecycle-architecture, implementation, review, documentation, testing, release, and long-term maintenance. Own complex problem investigations in the field and drive root-cause analysis and systemic improvements. Support coordination across teams, including hardware, QA, and product management. As a Team Leader, oversee the daily operations of the software engineering team, including task assignments, performance monitoring, and technical guidance (as assigned). As a Product Leader, take ownership of a specific product line's software development, documentation, testing, maintenance, quality, and support (as assigned). KEY REQUIREMENTS: Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field. 10+ years of professional experience in embedded software/firmware development. Demonstrated ownership of complex embedded systems or product architectures in production environments. Technical Skills Required: Expert-level experience with embedded system design and real-time programming. In-depth knowledge of EtherCAT protocols and real-time communication systems. Strong understanding of industrial Fieldbus technologies and their application, including CANopen, Modbus/TCP, Ethernet/IP, and PROFINET. Expertise in Linux, Unix, and real-time operating systems. Proficiency with Windows operating system and computer operation. Proficiency in C, C++. • Proficiency with software development tools, version control systems, and agile methodologies. Must be a U.S. person due to ITAR regulations. Technical Skills Desired: Experience with Embedded control system integration: Motion control algorithms and systems. ROS 2, with a focus on motion control and servodrive interfacing. RTOS for embedded controllers (eg. FreeRTOS) . o Computer-based industrial automation motion controllers and soft-PLC. Serial encoders (e.g., EnDat, BiSS, SSI). • Knowledge of programming in IEC 61131-3, related development tools, and Relay Ladder Logic. Proficiency in Python and C#. Experience with QNX Neutrino or other POSIX-based operating systems. Knowledge of FPGA architecture and design. Ability to design, build, and maintain sophisticated hardware test platforms for electronics and motion systems. Additional Required Competencies: Strong problem-solving and analytical skills. Ability to work independently and lead projects effectively. Excellent verbal and written communication skills. Commitment to quality, efficiency, and innovation. Experience in cross-functional team collaboration Please apply today to be one of the first people considered for this position! Elgen Staffing is the fastest growing staffing agency in New Jersey. With a deep understanding of today's hiring trends and technologies we have the ability to leverage the most effective recruiting methods to find the best candidates across numerous markets and industries and place them into the appropriate position successfully. Please allow us to help you find your dream job today!

Senior Lead AI Engineer (LLM Customization and Finetuning) Overview: 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. In this role, you will: 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, 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, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM 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. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 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 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, 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 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 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. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead 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).

Senior Lead AI Engineer (FM Hosting, LLM Inference) Overview: 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. In this role, you will: 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, 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, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM 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. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 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 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, 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 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 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. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead 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).

Senior Lead AI Engineer,(MLX, Agentic AI, Gen AI platform Services) Overview: 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. In this role, you will: 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, 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, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM 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. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 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 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, 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 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 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. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead 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).

Company Overview: Integrated Data Services (IDS) is a leading provider of custom software products and Government financial management services. IDS was founded in 1997 in El Segundo, CA, and since that time has seen tremendous growth and success. Currently, IDS has offices supporting customers nationwide. By providing customers with fast, efficient and reliable information systems and support services, IDS has become a preferred provider of financial and programmatic systems, services and solutions across a wide variety of government agencies. Position Description: IDS is seeking Senior Oracle PL/SQL Developers with expert-level command of the Oracle RDBMS, SQL, and PL/SQL. You will be responsible for the architecture, development, and performance optimization of Oracle databases, including complex PL/SQL packages, triggers, types, and data pipelines. We're looking for somebody who is a confident problem solver, proactively challenges traditional solutions, and brings strong opinions on code quality and maintainability. You will also have opportunities to contribute to Java Spring Boot microservices, and modern front-end applications built with Angular and TypeScript. Responsibilities include, but are not limited to, the following: Oracle database full life-cycle development including data modeling, database architecture, SQL and PL/SQL development, performance tuning, unit testing, and production support. Design and implement efficient, maintainable database solutions for high-volume, web-based applications serving DoD customers. Contribute to architecture decisions and drive implementation of changes across our product base. Develop detailed technical analysis and design specifications from functional and compliance requirements. Collaborate closely with developers, DevSecOps engineers, designers, and analysts to solve complex problems. Create, refactor, and improve reusable database objects with an emphasis on modularity and testability. Profile, optimize, and tune SQL queries and execution plans for performance at scale. Establish and enforce coding standards, peer review practices, and documentation norms. Support CI/CD pipeline integration for database change management (Liquibase, Flyway, or equivalent). Knowledge and Skills: 7+ years of hands-on experience developing Oracle SQL and PL/SQL in production environments. Strong understanding of Oracle performance tuning tools and techniques (AWR, ASH, execution plan analysis, indexing strategies). Experience with CI/CD tooling (Jenkins, GitLab CI, or GitHub Actions) and Git-based source control workflows. Familiarity with database migration and version control frameworks (Liquibase, Flyway). Disciplined approach to testing and quality assurance, including experience writing unit tests for PL/SQL (utPLSQL or similar). Experience with containerized deployment environments (Docker, Kubernetes) is a plus. Experience developing Java Spring Boot applications is a plus. Experience with modern front-end frameworks (Angular, React, or Vue) and TypeScript is a plus. Exposure to cloud-hosted Oracle environments (AWS RDS, OCI) is a plus. Education and Work Experience: Bachelor's degree from an accredited college or university in Engineering, Information Technology, Computer Science, or a related field is preferred. A Bachelor's degree may be waived with commensurate years of relevant professional experience. Physical & Mental Qualifications: Must be able to sit, type, hear, see, and speak for extended periods of time. Must consistently work and type on a computer for prolonged periods of time. Must be able to communicate accurate information and ideas so others will understand. Must be able to lift/carry at least 15 lbs. May be required to move about inside an office to access file cabinets, office supplies, etc. Security Clearance: Applicants selected for employment may be subject to a Federal background investigation and must meet additional eligibility requirements for access to classified information or materials. Travel: Some travel may be required. Hours: Normal work schedule hours may vary, Monday through Friday. May be required to work additional hours and/or weekends, as needed, to meet deadlines or to fulfill travel obligations. Salary Range: $125,000 - $145,000 per year The estimated salary range listed is a good faith determination of potential base compensation that may be offered to a successful applicant for this position at the time of this job posting and may be modified in the future. The disclosed salary range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. When determining an applicant's compensation, various factors are taken into consideration including, but not limited to: geographic location, relevant prior work experience, relevant training, special skills/competencies, education, clearance, licenses/certifications, labor categories/contract rates and other business needs. IDS offers a robust benefits package including employer paid health, dental, vision, disability, AD&D and life insurance plans for eligible employees. IDS also offers a variety of elective plans to eligible employees including flexible spending accounts, voluntary life insurance and supplemental insurance plans. Benefits become effective the first of the month following the start date of employment unless starting on the 1st of the month, in which case benefits are effective immediately upon the eligible employee's start date. IDS offers eligible employees eleven (11) paid holidays, generous PTO accruals starting at three (3) weeks per year, as well as a 401(k) safe harbor contribution upon eligibility. IDS also offers generous employee referral bonuses. IDS is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regards to age (40 and over), color, physical or mental disability, gender identity or expression, genetic information (including family medical history), national origin or ancestry, race, religion, sex, pregnancy (including childbirth and related medical conditions), sexual orientation, citizenship status, veteran status, uniformed service member status, or any other characteristic protected by federal, state, or local law. IDS participates in E-Verify. To learn more about E-Verify, including your rights and responsibilities, please visit A submission of a resume is an expression of interest and not considered an application. For more information, visit . Disclaimer: This job description is intended to provide an overview of job responsibilities that are subject to change. U.S. citizenship is required; H1-B visas and other visas are not being sponsored. Relocation expenses are NOT compensated. All jobs are employer paid; no fees to candidates. Third parties or agency inquiries are not being accepted at this time.

Senior Lead AI Engineer (MLX, Agentic AI, Gen AI platform Services) Overview: 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. In this role, you will: 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, 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, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM 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. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 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 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, 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 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 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. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead 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).

Sr. Distinguished AI Engineer (Agentic AI Platform) Overview: 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. In this role, you will: 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. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 10 years of experience developing AI and ML algorithms or technologies, or Master's degree 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, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of 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 VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns K8s mastery (multi-region clusters, service mesh) Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production 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. McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished 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 . click apply for full job details

Senior Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's Degree At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 3 years of experience building, scaling, and optimizing ML systems At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, Kubeflow or TensorFlow 3+ years of experience developing performant, resilient, and maintainable code 3+ years of experience with data gathering and preparation for ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents 3+ years of experience building production-ready data pipelines that feed ML models Ability to communicate complex technical concepts clearly to a variety of audiences 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. Cambridge, MA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer New York, NY: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead Machine Learning 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).

ompany Overview: Integrated Data Services (IDS) is a leading provider of custom software products and Government financial management services. IDS was founded in 1997 in El Segundo, CA, and since that time has seen tremendous growth and success. Currently IDS has offices supporting customers nationwide. By providing customers with fast, efficient and reliable information systems and support services, IDS has become a preferred provider of financial and programmatic systems, services, and solutions across a wide variety of government agencies. Position Description: IDS is currently seeking a Senior Acquisition Subject Matter Expert (SME) Business Analyst. The Senior Acquisition Subject Matter Expert (SME) plays a critical role in assisting the System Program Director with strategic planning and messaging with stakeholders. This position is based in El Segundo, CA, and involves close collaboration with the Space Systems Command's (SSC) Space Sensing senior leadership, HQ USSF, Combat Forces Command (CFC), and representatives from other Services, Combatant Commands, and other government agencies. In addition, the Senior Acquisition SME may be asked to review acquisition related products to provide expert recommendations to translate mission needs into operational end-to-end solutions through the development and coordination of acquisition documentation. Responsibilities include, but are not limited to, the following: Support senior Space Force leadership with acquisition strategies, contracting, budgeting, and program execution. Collaborate with a multidisciplinary DoD technical workforce and industry partners to ensure successful program outcomes. Craft strategic policy and initiatives in support of the System Program Director. Provide expertise in software acquisition for DoD programs, including classified ACAT-like space control systems. Develop and coordinate documentation required for Defense Acquisition Boards and source selections. Offer strategic approaches for acquisition planning and execution, including AoA, ASP, ASD, J&A, RFPs, SOWs, CDRLs, and incentive plans. Advise on government contracting and financial management processes. Support ongoing and emerging program acquisitions and schedule management for DoD programs. Identify program execution issues and recommend actionable solutions. Draft presentation materials, status briefings, and strategic communication inputs. Perform analyses of program business cases and risk assessments. Evaluate and assist in the development of acquisition documentation, including strategies, plans, and deliverables, for compliance with DoD and Space Force policies and guidance. Serve as an advisor during technical evaluations and source selections. Knowledge and Skills: This position requires a minimum of fifteen (15) years of experience in acquisition management and planning within DoD or related environments. This includes at minimum an assignment with an operational unit, as well as a Headquarters Staff organization (or equivalent). Demonstrated expertise in developing acquisition strategies and supporting source selections Demonstrated expertise in USSF policy and doctrine and an understanding of combatant command and service relationships, congressional affairs, and of the interagency process Knowledge of DoD contracting, budgeting, and financial management principles Excellent written and verbal communication skills Understanding of Congressional Defense Committees Strong analytical and problem-solving abilities Strong understanding of ACAT I-III program management and milestone decision processes (pre-Milestone A through Milestone C) Prior experience serving as a senior advisor or evaluator on at least one source selection is preferred Familiarity with Confluence and JIRA in program or portfolio management environments is preferred Certifications such as DAWIA/APDP Program Management Level III, PMP, and/or PgMP is preferred Prior Pentagon or major headquarters experience and operations is preferred Prior experience with Overhead Persistent Infrared, Missile Warning, Nuclear Detection, Missile Defense is desired Education: This position requires a Bachelor's degree in science, business management, engineering, computer science, mathematics, economics or other related discipline. A Master's degree in a related science or engineering field (e.g., systems engineering, software engineering) is highly preferred. Physical & Mental Qualifications: Must be able to sit, type, hear, see, and speak for extended periods of time. Must consistently work and type on a computer for prolonged periods of time. Must be able to communicate accurate information and ideas so others will understand. Must be able to lift/carry at least 15 lbs. May be required to move about inside an office to access file cabinets, office supplies, etc. Security Clearance: Applicants selected for employment will be subject to a Federal background investigation and must meet additional eligibility requirements for access to classified information or materials. Active TS clearance, SCI eligible with an in-scope security background investigation (T5 or SSBI) is required. Travel: Some travel may be required. Hours: Normal work schedule hours may vary, Monday through Friday. May be required to work additional hours and/or weekends, as needed, to meet deadlines or to fulfill travel obligations. Salary Range: $110,000 - $140,000 per year The estimated salary range listed is a good faith determination of potential base compensation that may be offered to a successful applicant for this position at the time of this job posting and may be modified in the future. The disclosed salary range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. When determining an applicant's compensation, various factors are taken into consideration including, but not limited to: geographic location, relevant prior work experience, relevant training, special skills/competencies, education, clearance, licenses/certifications, labor categories/contract rates and other business needs. IDS offers a robust benefits package including employer paid health, dental, vision, disability, AD&D and life insurance plans for eligible employees. IDS also offers a variety of elective plans to eligible employees including flexible spending accounts, voluntary life insurance and supplemental insurance plans. Benefits become effective the first of the month following the start date of employment unless starting on the 1st of the month, in which case benefits are effective immediately upon the eligible employee's start date. IDS offers eligible employees eleven (11) paid holidays, generous PTO accruals starting at three (3) weeks per year, as well as a 401(k) safe harbor contribution upon eligibility. IDS also offers generous employee referral bonuses. IDS is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regards to age (40 and over), color, physical or mental disability, gender identity or expression, genetic information (including family medical history), national origin or ancestry, race, religion, sex, pregnancy (including childbirth and related medical conditions), sexual orientation, citizenship status, veteran status, uniformed service member status, or any other characteristic protected by federal, state, or local law. IDS participates in E-Verify. To learn more about E-Verify, including your rights and responsibilities, please visit A submission of a resume is an expression of interest and not considered an application. For more information, visit . Disclaimer: This job description is intended to provide an overview of job responsibilities that are subject to change. U.S. citizenship is required; H1-B visas and other visas are not being sponsored. Relocation expenses are NOT compensated. All jobs are employer paid; no fees to candidates. Third parties or agency inquiries are not being accepted at this time.

Senior Lead AI Engineer (GenAI Platform Services) Overview: 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. In this role, you will: 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, 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, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM 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. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 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 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, 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 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 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. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead 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).

Sr. Distinguished AI Engineer (Agentic AI Platform) Overview: 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. In this role, you will: 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. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 10 years of experience developing AI and ML algorithms or technologies, or Master's degree 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, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of 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 VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns K8s mastery (multi-region clusters, service mesh) Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production 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. McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished 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 . click apply for full job details