90 jobs found

Job Description Senior .NET Developer - Job Description Position: Senior .NET Developer Experience: 8+ Years Employment Type: Full-Time Location: USA / Remote / Hybrid Job Summary We are looking for an experienced Senior .NET Developer to design, develop, and maintain scalable enterprise applications. The ideal candidate should have strong hands-on experience with C#, .NET Core/.NET 6+, ASP.NET Core, Web API, REST APIs, SQL Server, Azure, and modern frontend technologies . Key Responsibilities Design, develop, test, and maintain enterprise applications using C#, .NET Core, ASP.NET Core, and Web API . Build scalable and secure RESTful APIs and Web Services . Develop microservices-based applications and integrate third-party systems. Work with SQL Server, Entity Framework Core, LINQ, and stored procedures . Develop responsive web applications using React.js or Angular . Implement authentication and authorization using OAuth 2.0, JWT, and Azure AD . Deploy and manage applications using Microsoft Azure services. Work with Azure Functions, Azure App Services, Azure SQL, Service Bus, and Key Vault . Participate in application architecture, system design, and technical decision-making. Perform code reviews and ensure adherence to coding standards and best practices. Troubleshoot production issues and optimize application performance. Write unit and integration tests using xUnit, NUnit, or MSTest . Collaborate with business analysts, architects, QA engineers, DevOps engineers, and product teams. Participate in Agile/Scrum ceremonies and contribute to sprint planning and technical discussions. Required Technical Skills C# .NET / .NET Core / .NET 6+ ASP.NET Core Web API / REST API Entity Framework / Entity Framework Core LINQ SQL Server T-SQL / Stored Procedures Microservices Azure Git / GitHub / Azure DevOps CI/CD Docker JavaScript / TypeScript React.js or Angular HTML5 / CSS3 Unit Testing Preferred Skills Azure Functions Azure Service Bus Azure App Services Azure SQL Azure Key Vault Azure AD / Entra ID Redis RabbitMQ or Kafka Kubernetes Terraform PowerShell Design Patterns SOLID principles Domain-Driven Design (DDD) Clean Architecture Event-driven architecture Experience & Qualifications Bachelor's degree in Computer Science, Engineering, or related field preferred. 8+ years of professional software development experience . Strong experience building enterprise applications using the Microsoft .NET technology stack . Experience with cloud-based application development, preferably Azure . Strong communication, analytical, and problem-solving skills. Ability to work independently and mentor junior/mid-level developers. Senior .NET Developer, .NET Developer, C#, .NET Core, ASP.NET Core, ASP.NET MVC, Web API, REST API, Microservices, Entity Framework, EF Core, SQL Server, Azure, React, Angular, TypeScript, Azure DevOps, CI/CD, Docker, Kubernetes, Git, Azure Functions, Azure Service Bus. Email:

Job Description Job Title: Senior Embedded Software Engineer Experience : 12 to 15 years Job Summary: We are seeking an experienced Senior Embedded Software Engineer to design, develop, test, and maintain embedded software and firmware for hardware-based systems. The ideal candidate will have strong experience in C/C++, embedded Linux, RTOS, microcontrollers, device drivers, and hardware-software integration. The candidate will work closely with hardware engineers, system architects, and cross-functional teams to deliver reliable, high-performance embedded solutions. Roles and Responsibilities: Design, develop, and maintain embedded software and firmware for electronic devices and systems. Develop software using C, C++, and assembly language. Work with microcontrollers, microprocessors, and embedded platforms. Develop and debug device drivers, BSPs, and low-level software components. Implement real-time operating systems (RTOS) and embedded Linux applications. Integrate software with hardware components and peripheral interfaces. Perform debugging, troubleshooting, and root cause analysis. Develop communication protocols such as UART, SPI, I2C, CAN, USB, and Ethernet. Optimize software performance, memory usage, and system reliability. Conduct unit testing, integration testing, and system-level validation. Collaborate with hardware, firmware, QA, and system engineering teams. Review code and ensure compliance with software development standards. Prepare technical documentation, design specifications, and test reports. Required Technical Skills: Strong programming experience in C and C++. Experience with embedded systems and firmware development. Knowledge of Embedded Linux and RTOS. Experience with microcontrollers such as ARM, STM32, PIC, or AVR. Knowledge of device drivers and Board Support Packages (BSP). Experience with debugging tools such as JTAG, GDB, and oscilloscopes. Understanding of communication protocols including UART, SPI, I2C, CAN, and Ethernet. Experience with Git, SVN, and software configuration management. Knowledge of hardware-software integration and testing. Familiarity with software development lifecycle (SDLC). Preferred Qualifications: Bachelor's or Master's degree in Computer Science, Electrical Engineering, Electronics Engineering, or a related field. 12+ years of experience in embedded software or firmware development. Experience in automotive, industrial automation, medical devices, robotics, or IoT. Knowledge of AUTOSAR, bootloaders, and real-time system design. Experience with Agile/Scrum development methodologies. Strong analytical, communication, and problem-solving skills. Key Responsibilities Lead embedded software development activities. Develop scalable and reliable firmware solutions. Improve system performance and software quality. Support product development from design through production. Mentor junior engineers and provide technical guidance. Ensure software meets functional, performance, and safety requirements.

Pay Range: $57.00hr - $62.00hr Job Overview: We are seeking a highly experienced and technically proficient Senior Backend Developer specializing in Java Spring Boot and Microservices Architecture. The ideal candidate will have a strong background in the retail domain, proven leadership capabilities, and a passion for implementing best development practices across onsite-offshore teams. The candidate will participate in all aspects of the SDLC lifecycle including solution design, implementation, and deployment from offshore. This hands-on technical role requires strong object-oriented and system design skills, Web application architecture, Web services, and XML/JSON transformation. The candidate must have excellent communication skills to successfully interact with stakeholders, other software developers, application and data architects, business analysts, and other related teams. Responsibilities: Lead backend development efforts using Java Spring Boot and Microservices. Architect scalable, secure, and high-performance backend systems. Collaborate with cross-functional teams across onsite and offshore locations. Mentor junior developers and enforce coding standards and best practices. Drive continuous integration and deployment (CI/CD) pipelines. Ensure code quality through automated testing and code reviews. Optimize application performance and troubleshoot production issues. Work closely with product owners and business analysts to translate requirements into technical solutions. Required Skills & Qualifications: 10+ years of hands-on experience in backend development using Java and Spring Boot. Strong expertise in Microservices architecture, RESTful APIs, and service orchestration. Experience with retail systems such as POS, inventory, order management, or customer engagement platforms. Proficient in SQL and NoSQL databases (e.g., PostgreSQL, MongoDB). Familiarity with containerization tools like Docker and orchestration platforms like Kubernetes. Experience with cloud platforms (AWS, Azure, or GCP), with GCP preferred. Strong understanding of DevOps practices and CI/CD pipelines (Jenkins, GitHub Actions). Knowledge of monitoring tools (Prometheus, Grafana, ELK stack). Excellent communication and leadership skills. Experience working in Agile/Scrum environments. Preferred Tools & Technologies: Development: IntelliJ IDEA, Eclipse, VS Code. Version Control: Git, Bitbucket. Build Tools: Maven, Gradle. CI/CD: Jenkins, GitHub Actions, GitLab CI. Testing: JUnit, Mockito, Postman, REST Assured. Monitoring: ELK Stack, Prometheus, Grafana. Cloud & Containerization: AWS, Azure, Docker, Kubernetes. Collaboration: Jira, Confluence, Slack, Microsoft Teams. Nice to Have: Experience with event-driven architecture (Kafka, RabbitMQ). Exposure to retail analytics and data pipelines. Certifications in Java, Spring, or cloud technologies. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

Job Description ATI has been named "Best Places to Work in SC" from 2017 - 2026. This is a full-time opportunity with benefits ATI provides Medical, Dental and Vision Plan options Flexible Spending Accounts, including health and dependent care accounts 403B Retirement Savings plan with a very competitive company contribution Personal time-off (pre-loaded & accrued) plus 12 paid holiday-days Life Insurance paid by ATI Paid Parental Leave Short-Term & Long-Term Disability Coverage paid by ATI Employee Assistance Program Tuition Reimbursement Program Flexible work schedules ATI's standard business hours are Monday-Friday, between 8 AM - 5 PM. ATI builds and manages collaborations that conducts research and development of new technologies to solve our nation's most pressing challenges. Our collaborations are custom-built teams of organizations from industry and academia that develop novel technologies for the federal government. Traditionally, these processes are complicated and burdensome. That's where ATI comes in. We simplify and streamline processes to make it all work. When you work at ATI, you become a part of something larger than yourself. Our collective work - no matter what department or division you work in - ultimately enables the warfighter, saves lives, and diversifies the industrial base. At our core, ATI is a service organization. We are in service to others; it's what we do, and it's who we are. Position Description The Senior Project Manager plans, organizes, directs, and controls projects and project teams to accomplish program goals within cost and schedule guidelines. This position exercises discretion and independent judgment with respect to matters of significance to the business. The role supports execution of projects within ATI's submarine and shipbuilding industrial base portfolio and related defense industrial base initiatives, with an emphasis on project planning, execution, reporting, stakeholder coordination, and implementation of project outcomes. Apply at ATI.ORG; we only accept applications submitted through our applicant tracking system. We offer a hybrid schedule (in-office & remote/work from home) or an onsite schedule and flexible hours. Candidates will need to reside near Charleston, SC to ensure work site flexibility. Essential Functions Manage assigned projects from startup through execution and closeout, ensuring compliance with applicable contracts, agreements, milestones, deliverables, and customer requirements. Establish, maintain, and review project scope, schedules, budgets, risks, assumptions, success criteria, and performance baselines; apply appropriate project controls, including some form of Earned Value Management, as required by the program. Lead development and maintenance of project planning and execution artifacts, including statements of work, project modifications, proposals, work breakdown structures, resource plans, status reports, and related documentation, ensuring proper revision control and documentation accuracy. Lead coordination with Government representatives, customers, performers, vendors, and internal cross-functional teams to track progress, resolve issues, support timely deliverable completion and acceptance, and facilitate effective project execution. Review invoices, analyze cost variances, support financial tracking, and maintain accurate project data and records in accordance with reporting and portfolio visibility requirements. Prepare and present project updates, briefings, and other materials for reviews, meetings, conferences, and sponsor interactions; plan and facilitate project team meetings as required. Identify, assess, and mitigate project risks and work with technical and program teams to resolve technical, programmatic, contractual, financial, and schedule issues. Support technical oversight and transition planning for projects involving industrial base development, manufacturing process improvement, technology maturation, and implementation efforts. Conduct or support technology assessments and recommendations related to manufacturing and industrial base initiatives, including areas such as automation and robotics, additive manufacturing, advanced inspection technologies, model-based engineering, digital thread and digital twin ecosystems, composites, and related production technologies, as applicable to assigned projects. Coordinate technical interchanges with Government sponsors, shipbuilders, OEMs, suppliers, academic performers, and other stakeholders to support technology insertion, process improvement, and transition execution in shipyard and supplier environments. Support planning for technology implementation activities, including development of Go/No-Go metrics, producibility targets, validation plans, and evaluation of throughput, quality, and cost impacts associated with proposed process or design changes. Provide day-to-day guidance to junior project management staff, program assistants, or program administrators, as assigned. Additional Responsibilities Interact daily with division leadership, contracts personnel, financial personnel, technical staff, customers, and ATI management. Track and coordinate project or program success stories with program leadership and the Business Development and Communications Department. Identify and assist in targeting related business development opportunities and support proposal preparation. Contribute to process improvement activities, standard operating procedures, and internal project management best practices. Perform other duties as assigned by the Program Manager, Technical Director, or division leadership. Qualifications Bachelor's Degree and five or more related years of experience or equivalent combination of experience and training, or a master's degree and three or more related years of experience or equivalent combination of experience and training. A degree in Engineering, Science, Supply Chain, Technical Program Management, or a related field is preferred. Project and/or process management experience is required. PMP certification is viewed favorably but is not required. Experience with government programs is viewed favorably but is not required. The ideal candidate is an independent, self-directed worker, team player, problem solver, and experienced leader with strong communication skills, including presentations, technical reports, meeting management, and group management. Prior experience working in multi-organizational teams is a plus. Strong computer skills, including intermediate Excel skills and proficiency in MS Office Suite-Word, PowerPoint, Outlook, and Project-are desired. MS Access experience is a plus. Specific Skillsets of Interest ATI anticipates filling multiple positions to strengthen our team. We seek strong project managers first and foremost; experience in one or more of these following disciplines is a valuable bonus. Experience includes shipbuilding, maritime manufacturing, submarine industrial base initiatives, defense manufacturing, technology development or transition, workforce development or technical training programs, supplier development, infrastructure modernization, strategic outsourcing, or supply chain management. Experience supporting Other Transaction Authority/Other Transaction Agreement projects, prototype efforts, or complex government-funded research and development portfolios is viewed favorably. Additional desirable technical experience includes one or more of the following domains: materials and processes, including composites, metals, and ceramics; design and structural analysis; robotics and automated manufacturing systems; digital manufacturing ecosystems, including digital twin and digital thread; AI/ML; modeling and simulation; additive manufacturing; welding engineering; systems engineering; and inspection technologies or nondestructive testing methods such as ultrasonic inspection and digital radiography, particularly in naval manufacturing environments. Highly desirable experience also includes implementing design or process changes in production or shipyard settings and coordinating technology transfer or implementation activities. Experience collaborating with Navy program offices, major shipbuilders, OEMs, and multi organizational project teams is similarly valued. Additional Requirements Ability to travel to conferences, industrial facilities, shipyards, supplier sites, and meetings is required. Weekend travel is very infrequent; however, it may be needed to support client needs for an early Monday or late Friday event. This position will need the ability to access U.S.-only data systems-U.S. Citizenship is required and/or the ability to obtain and maintain a DoD security clearance may be required. This position is subject to a background check that includes a review of criminal records. In reviewing an applicant's criminal history, the company will consider prior criminal convictions that have a relationship to the job duties and responsibilities of the position. The company considers the nature of the crime, the time that has elapsed since the crime, and the job duties for the position at issue in making an individualized determination. Individuals may be excluded when the company determines, based on the above factors, that hiring, transferring, or promoting the applicant would pose an unreasonable risk to the business, its employees, or its customers and vendors . click apply for full job details

Job Description Job Summary Neutrino Advisory is looking for a Senior Analytics Engineer to help build modern, scalable, and trusted data foundations that enable organizations to make better business decisions. In this role, you will design, build, and maintain transformation and semantic layers that convert raw data from enterprise platforms into governed, well-tested, documented, and business-ready datasets and metrics. You will play a key role in enabling both centralized and self-service analytics, ensuring that analysts, business stakeholders, and AI-enabled tools can access and generate trustworthy insights from enterprise data. The ideal candidate brings strong software engineering discipline to analytics development, including version control, automated testing, code reviews, and continuous integration and deployment. You will work closely with business stakeholders, data engineers, BI developers, and technology teams to establish best practices and deliver high-quality data products. This is a hands-on senior-level role with opportunities to influence architecture, establish engineering standards, mentor team members, and contribute to Neutrino's growing Data & Analytics practice. Key Responsibilities • Design, develop, and maintain dbt models on Microsoft Fabric, transforming raw source data into clean, well-documented staging, intermediate, and mart layers using consistent modeling standards and naming conventions. • Design and co-own Power BI semantic models, including certified datasets, shared measures, and row-level security, ensuring consistent metric definitions across reports, dashboards, and self-service analytics. • Establish and implement data quality standards through dbt tests, source freshness checks, data contracts, monitoring, and alerting mechanisms. • Implement software engineering best practices for analytics development, including Git-based workflows, pull request reviews, automated CI/CD for dbt and Fabric deployments, and environment management across development, testing, and production. • Collaborate with business stakeholders, finance, operations, and technology teams to translate business requirements into reliable data models, metrics, and analytical solutions. • Establish clear documentation for data models, metrics, business definitions, and data lineage to enable analysts, business users, and AI-powered tools to discover and confidently use enterprise data. • Develop and maintain a catalog of certified datasets, business metrics, and data ownership. • Optimize data transformation pipelines and semantic models for performance, scalability, and cost through incremental loading, partitioning, and efficient query design. • Apply appropriate data access controls, privacy protections, security standards, and auditability requirements in collaboration with information security and compliance teams. • Review technical deliverables, mentor junior analysts and engineers, and promote best practices in analytics engineering and data modeling. • Contribute to the development of reusable templates, technical standards, frameworks, and onboarding documentation. • Evaluate emerging tools, technologies, and architectural approaches to continuously improve the data and analytics ecosystem. • Troubleshoot complex data and pipeline issues, conduct root cause analysis, and communicate resolutions and business impact effectively to technical and non-technical stakeholders. Required Knowledge, Skills & Qualifications • Bachelor's degree in Computer Science, Engineering, Data Science, Statistics, Information Systems, or a related field, or equivalent practical experience. • 6+ years of experience in Analytics Engineering, Data Engineering, or Business Intelligence development, with demonstrated experience delivering production-grade data models. • Advanced SQL skills, including query optimization, dimensional modeling, fact and dimension tables, and slowly changing dimensions (SCD). • Hands-on experience with dbt in production environments, including modular model development, testing, documentation, macros, incremental models, and deployment practices. • Experience with Microsoft Fabric, including Lakehouse, Warehouse, OneLake, Data Factory, and data pipelines, or comparable cloud data platforms such as Snowflake, Databricks, or BigQuery. • Strong Power BI experience, including semantic model design, DAX, row-level security, and governance of shared datasets. • Familiarity with AI-enabled analytics tools and the data architecture, governed metrics, metadata, and documentation required to support reliable AI-driven insights. • Working knowledge of Git, pull request workflows, and CI/CD pipelines using tools such as Azure DevOps or GitHub Actions. • Proficiency in Python for scripting, automation, and data validation. • Experience implementing data quality, testing, monitoring, and observability practices. • Ability to translate complex or ambiguous business requirements into clear technical designs and communicate architectural decisions and trade-offs effectively. • Strong written and verbal communication skills, with the ability to collaborate across technical and business teams. • Understanding of data privacy, security, governance, and compliance principles. Preferred Qualifications • Experience in financial services, wealth management, banking, healthcare, or other regulated industries. • Familiarity with CRM, portfolio accounting, financial reporting, or custodial data. • Experience building enterprise-scale analytics platforms using Microsoft Azure and Microsoft Fabric. • Exposure to modern data architecture patterns, including medallion architecture, data lakes, lakehouses, and enterprise data warehouses. • Experience working with AI-powered analytics, natural language querying, and enterprise data governance for AI adoption. What We Offer • Opportunity to work on modern data engineering and analytics transformation initiatives. • Exposure to enterprise-scale implementations across Microsoft Fabric, Power BI, Azure, and modern data platforms. • Opportunity to work with emerging AI technologies and help shape the future of enterprise analytics. • A collaborative, technology-driven environment with opportunities for continuous learning and professional growth. • The opportunity to take ownership, influence technical direction, and contribute to building Neutrino's Data & Analytics practice. About Neutrino Advisory Neutrino Advisory is a Digital Strategy, Advisory & Marketing Technology firm helping organizations navigate digital transformation through data, cloud, CRM, enterprise platforms, and applied AI. We combine business strategy with technology expertise to build scalable solutions that deliver measurable business outcomes. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Job Description Top tier financial investment firm seeks an AI Engineer who will lead the design, build, and end-to-end delivery of business-facing AI applications and automation across the Firm. As a member of the AI team within Business Technology, the AI Engineer will work directly with front office Investment Profesionals to understand transaction workflows, translate business needs into technical specifications, and own delivery of practical solutions within the Firm's ecosystem, anticipating issues and managing priorities, resources, and timelines. This is a hands-on, full-stack engineering role combining stakeholder engagement, requirements analysis, software development, testing, deployment, and support. The AI Engineer will also contribute to the Firm's internal AI platform by building and maintaining reusable API integrations, Model Context Protocol (MCP) connectors, and workflow components that securely connect AI applications and agents to approved enterprise systems and data. The AI Engineer will lead day-to-day delivery with a high degree of independence, provide technical guidance and mentoring to junior colleagues, and coordinate with Businesses, Data Science, IT, Information Security, Compliance, and external vendors. Key Responsibilities: Partner with Business to lead requirements gathering and documentation; translate workflows into user stories, technical specifications, and acceptance criteria. Evaluate existing tools before recommending a new build. Lead the design and development of full-stack applications, dashboards, and workflow tools, connecting user interfaces, APIs, databases, and approved AI services to support information synthesis and banker productivity. Own the design, build, testing, and maintenance of secure, reusable API integrations and MCP connectors between the Firm's AI platform and approved enterprise systems, data sources, and third-party services. Lead the development and maintenance of reviewed, configurable templates and reusable components so solutions can be adapted across transactions rather than rebuilt for each deal. Guide AI workflow orchestration and contribute to technical planning. Apply and reinforce engineering best practices, including version control, peer code review, automated testing, secure credential management, logging, and technical documentation. Evaluate AI output quality, reliability, latency, and cost. Lead user acceptance testing, user training, and feedback. Work with IT and engineering on approved deployment, monitoring, support handover, and retirement of temporary deal tools. Partner with Information Security and Compliance to identify and review material changes to solutions or enhancements that warrant additional assessment. Required Skills: Strong hands-on software development expertise in Python and JavaScript or TypeScript , with experience building web interfaces and backend services using frameworks such as React, Next.js, or Django. Demonstrated expertise designing, building, consuming, and troubleshooting APIs and connectors, with familiarity with Model Context Protocol (MCP) desirable. Strong working knowledge of SQL and relational databases Proficiency in Git, testing, debugging, and deployment practices, with the ability to write clear, maintainable, reviewable code. Working knowledge of generative AI architecture and demonstrated experience with large language model integration, including output validation and the limitations of AI-generated results and code. Ability to translate complex business needs into workable technical solutions, exercise sound technical judgment, and explain trade-offs and business objectives clearly to technical and non-technical stakeholders. Strong analytical thinking, organization, documentation, attention to detail, and customer service orientation. Sound judgment when handling confidential information and escalating risks. Intellectual curiosity, adaptability, and the ability to lead projects from start to finish with a high degree of independence, guide junior colleagues, and recognize when to involve senior colleagues on architecture, security, and production readiness. Plusses: Experience with AI-enabled applications, retrieval-augmented generation, agent workflows, or model evaluation. Experience with cloud platforms such as Azure, containers, CI/CD, authentication, role-based access controls, and application monitoring. Experience working in an Agile environment, using tools such as Jira, and conducting stakeholder demos, user acceptance testing, or user training. Education & Experience: Bachelor's degree in Computer Science, Software Engineering, or a related technical field Demonstrated professional experience delivering full-stack applications and integrations, with ownership of projects or workstreams from requirements through deployment and support.

Job Description Job Title: DevOps Engineer IV Location: Chicago, IL (100% Onsite) Employment Type: Contract Position Overview We are seeking an experienced Senior DevOps Engineer with strong hands-on expertise in AWS Cloud Infrastructure, Terraform, Kubernetes/EKS, Datadog, and CI/CD automation to support enterprise-level cloud platforms and production environments. The ideal candidate will have extensive experience designing, deploying, maintaining, and troubleshooting AWS infrastructure, developing reusable Terraform modules, managing containerized applications, and implementing monitoring and observability solutions. This position requires a technically proficient, hands-on engineer who can independently resolve complex production issues, improve infrastructure reliability, automate operational processes, and collaborate with cross-functional engineering teams. The successful candidate will play a critical role in ensuring high availability, scalability, security, and operational efficiency across enterprise cloud platforms. Key ResponsibilitiesAWS Cloud Infrastructure & Production Support Manage, maintain, and optimize enterprise-scale AWS cloud infrastructure supporting business-critical applications. Troubleshoot complex production issues across AWS services, including EC2, ECS, EKS, Lambda, S3, DynamoDB, DocumentDB, IAM, and networking. Ensure the availability, performance, scalability, and security of AWS-hosted applications and infrastructure. Investigate production incidents, perform root-cause analysis, and implement long-term corrective solutions. Support cloud infrastructure capacity planning, upgrades, maintenance, and performance optimization. Implement AWS operational best practices for monitoring, security, reliability, and cost management. Collaborate with application development, infrastructure, and operations teams to improve production stability. Terraform & Infrastructure as Code (IaC) Design, develop, implement, and maintain AWS infrastructure using Terraform. Build reusable Terraform modules and standardized infrastructure configurations. Manage Terraform state files, resource dependencies, execution plans, and module versioning. Troubleshoot infrastructure drift, configuration issues, and deployment failures. Automate infrastructure provisioning and configuration across development, testing, staging, and production environments. Integrate Terraform workflows with CI/CD pipelines for automated infrastructure deployment. Participate in infrastructure code reviews and contribute to documentation, standards, and best practices. Ensure infrastructure changes are deployed securely and consistently through controlled processes. Kubernetes, EKS & Container Management Manage and support production Kubernetes and Amazon EKS environments. Deploy, configure, monitor, and troubleshoot containerized applications using Docker, Kubernetes, and AWS ECS/EKS. Develop and maintain Kubernetes manifests, Helm charts, and deployment configurations. Support Kubernetes cluster administration, upgrades, autoscaling, and workload optimization. Troubleshoot container networking, ingress controllers, service discovery, load balancing, and IAM/RBAC integration. Investigate and resolve production incidents involving containerized applications and distributed systems. Implement container orchestration best practices to improve reliability, scalability, and deployment efficiency. Support automated application deployments using GitOps and CI/CD methodologies. Monitoring, Observability & Incident Management Administer and maintain enterprise monitoring and application performance management (APM) solutions, particularly Datadog. Develop and optimize monitoring dashboards, alerts, log management configurations, and application performance metrics. Maintain monitoring integrations with BigPanda and Configuration Management Database (CMDB) systems. Define and implement alerting standards for production environments. Monitor application availability, system health, infrastructure performance, and latency. Develop logging and indexing strategies to improve visibility and troubleshooting capabilities. Investigate production alerts, system outages, and performance issues. Collaborate with DevOps, development, and problem management teams to resolve incidents and improve operational reliability. Create reporting dashboards to track system stability, performance, availability, and cloud infrastructure costs. CI/CD, Automation & DevOps Engineering Design, implement, maintain, and optimize automated CI/CD pipelines. Work with Jenkins, GitHub Actions, GitLab CI, Harness, or similar deployment automation tools. Automate infrastructure provisioning, application deployments, and configuration management. Develop automation scripts using Python, Bash, TypeScript, JavaScript, or other relevant technologies. Utilize Git-based source control, branching, merging, and repository management practices. Support configuration management using Ansible and AWS CloudFormation. Improve deployment processes, reduce manual intervention, and enhance operational efficiency. Support production releases, infrastructure upgrades, and change management activities. Technical Leadership & Collaboration Act as a senior technical resource for complex AWS, Terraform, Kubernetes, and production infrastructure issues. Independently troubleshoot critical production incidents and implement sustainable solutions. Collaborate with engineering, security, infrastructure, and application development teams. Mentor and provide technical guidance to junior and mid-level engineers. Develop technical documentation, operational runbooks, troubleshooting procedures, and infrastructure standards. Recommend improvements to cloud architecture, automation, monitoring, and platform reliability. Communicate technical risks, recommendations, and solutions effectively to engineering teams and leadership. Required QualificationsProfessional Experience 10+ years of overall Information Technology experience. 7+ years of hands-on experience in DevOps Engineering, Site Reliability Engineering (SRE), Platform Engineering, or Cloud Infrastructure. 5+ years of hands-on experience supporting and troubleshooting AWS production environments. 5+ years of experience designing and developing Terraform-based infrastructure. 5+ years of experience working with containerized applications and environments. 3+ years of hands-on experience managing Kubernetes or Amazon EKS in production. Technical Skills - Must Have 1. AWS Cloud Infrastructure Extensive hands-on experience with AWS production infrastructure and cloud operations. Strong knowledge of EC2, ECS, EKS, Lambda, S3, DynamoDB, IAM, and AWS networking. Experience troubleshooting distributed cloud applications and complex infrastructure issues. Understanding of AWS serverless architecture, CloudFormation, security, monitoring, and operational best practices. 2. Terraform & Infrastructure Automation Advanced hands-on experience developing Terraform configurations and reusable modules. Strong understanding of Terraform state management, execution plans, resource dependencies, and infrastructure drift. Experience provisioning and managing AWS infrastructure directly using Terraform. Ability to troubleshoot complex Terraform deployment issues and implement infrastructure automation. Experience integrating Terraform with CI/CD workflows. 3. Kubernetes / EKS & Docker Strong experience with Kubernetes, Amazon EKS, and Docker in production environments. Hands-on knowledge of Helm, kubectl, Kubernetes manifests, and cluster administration. Experience with workload deployments, autoscaling, networking, ingress, IAM/RBAC, and troubleshooting. Ability to manage production container platforms and resolve infrastructure-related incidents. 4. Datadog & Observability Hands-on experience with Datadog for infrastructure monitoring, application performance monitoring, and log management. Experience creating monitoring dashboards, alerts, and performance metrics. Strong understanding of production incident response, root-cause analysis, and system reliability. Knowledge of monitoring integrations and alert management practices. 5. CI/CD & Automation Experience with Jenkins, GitHub Actions, GitLab CI, Harness, or equivalent CI/CD tools. Strong knowledge of Git, source control, and automated deployment processes. Experience with infrastructure automation, scripting, and configuration management. Familiarity with Ansible and AWS CloudFormation. Additional Technical Knowledge Experience with TypeScript and JavaScript. Understanding of AWS Cognito, Couchbase, and DocumentDB. Familiarity with Windows Server and IIS. Experience monitoring Docker containers and Kubernetes workloads. Strong knowledge of systems administration . click apply for full job details

AI Engineer 3 (AI Foundations) 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. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Lead development and benchmarking of multi-turn conversational and tool-using agent workflows, ensuring measurable performance and safety metrics Implement scalable pipelines for training, fine-tuning and deploying foundation or domain-specific models across multiple environments Collaborate with research and data engineering teams to curate high-quality datasets and improve model evaluation methodologies Contribute to governance and security efforts for model traceability, lineage documentation, and version control of deployed AI assets Mentor junior AI engineers and advocate for engineering excellence, reproducibility, and responsible experimentation 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 enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown This role is designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location. Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 3 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 1 year of experience developing AI and ML algorithms or technologies At least 3 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience contributing to development of components of AI systems with tradeoff decisions around cost, latency, throughput and accuracy 4+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Demonstrated ability to evaluate and optimize LLM performance using quantitative metrics (accuracy, coherence, latency, cost) Hands-on experience implementing retrieval-augmented generation (RAG), vector database integrations, and fine-tuning workflows Experience applying prompt-engineering strategies, safety guardrails, and red-teaming methodologies to production AI systems Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. R AI Engineer 3 (AI Foundations) 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: $161,800 - $184,600 for AI Engineer 3 New York, NY: $176,500 - $201,400 for AI Engineer 3 San Jose, CA: $176,500 - $201,400 for AI Engineer 3 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).

AI Engineer 3 (AI Foundations) 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. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Lead development and benchmarking of multi-turn conversational and tool-using agent workflows, ensuring measurable performance and safety metrics Implement scalable pipelines for training, fine-tuning and deploying foundation or domain-specific models across multiple environments Collaborate with research and data engineering teams to curate high-quality datasets and improve model evaluation methodologies Contribute to governance and security efforts for model traceability, lineage documentation, and version control of deployed AI assets Mentor junior AI engineers and advocate for engineering excellence, reproducibility, and responsible experimentation 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 enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown This role is designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location. Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 3 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 1 year of experience developing AI and ML algorithms or technologies At least 3 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience contributing to development of components of AI systems with tradeoff decisions around cost, latency, throughput and accuracy 4+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Demonstrated ability to evaluate and optimize LLM performance using quantitative metrics (accuracy, coherence, latency, cost) Hands-on experience implementing retrieval-augmented generation (RAG), vector database integrations, and fine-tuning workflows Experience applying prompt-engineering strategies, safety guardrails, and red-teaming methodologies to production AI systems Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. R AI Engineer 3 (AI Foundations) 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: $161,800 - $184,600 for AI Engineer 3 New York, NY: $176,500 - $201,400 for AI Engineer 3 San Jose, CA: $176,500 - $201,400 for AI Engineer 3 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).

Applied Researcher 5 At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. 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 building world-class applied science and engineering teams and continue 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 AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. What You'll Do: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies; Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more, to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. Lead cross-functional research threads that bridge prototype model development and deployment with ML engineering partners, ensuring scientific insights translate to production impact The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms Has a deep understanding of the foundations of AI methodologies Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes Experience in delivering libraries, platform level code or solution level code to existing products A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects This role is designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location. Basic Qualifications: Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, High Performance Computing, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on Generative AI (LLMs, Diffusion models and related approaches) or Masters with 5 years of industrial research experience in deep learning based techniques Multiple publications at top-tier venues (e.g., KDD, SIGIR, RecSys, NeurIPS, ICLR) on topics related to generative recommendation, retrieval-augmented generation (RAG), LLM-based agents, or large-scale semantic search Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Behavioral Models PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series) Multiple papers on topics relevant to training models on graph and sequential data structures at KDD, ICML, NeurIPs, ICLR Experience training foundation models from scratch or significantly adapting large-scale models (10B+ parameters) for complex financial data, transactional sequences, or user behavior graphs Track record of scaling graph models to greater than 50M nodes and operating within high-velocity, real-time streaming data environments Contributions to common open source frameworks (pytorch-geometric, DGL) Proposed new methods for inference or representation learning on graphs or sequences Worked datasets with 100m+ users Optimization (Training & Inference) Multiple years of experience or publications focused on model sparsification, quantization, training parallelism/partitioning design, or gradient checkpointing for 10B+ parameter models Hands-on experience with large-scale orchestration systems (Kubernetes, KubeRay) and contributions to common open-source ML frameworks (PyTorch-Geometric, DGL, HuggingFace) Experience building and deploying deep learning-based recommender systems at scale (100M+ users or items), ideally within travel, personalization, or e-commerce contexts Finetuning PhD focused on topics related to aligning Large Language Models for recommendation and search tasks via Supervised Fine-Tuning (SFT), Reinforcement Learning from Human Feedback (RLHF), or Direct Preference Optimization (DPO) Experience deploying a fine-tuned large language model optimized for serving performance Proven ability to design and lead small-scale research initiatives, guiding junior researchers or engineers through experimental design and evaluation 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: $262,500 - $299,600 for Applied Researcher 5 McLean, VA: $262,500 - $299,600 for Applied Researcher 5 New York, NY: $286,400 - $326,800 for Applied Researcher 5 San Francisco, CA: $286,400 - $326,800 for Applied Researcher 5 San Jose, CA: $286,400 - $326,800 for Applied Researcher 5 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 . click apply for full job details

Applied Researcher 5 At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. 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 building world-class applied science and engineering teams and continue 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 AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. What You'll Do: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies; Pytorch, AWS Ultraclusters, Huggingface, Lightning, and more, to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. Lead cross-functional research threads that bridge prototype model development and deployment with ML engineering partners, ensuring scientific insights translate to production impact The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms Has a deep understanding of the foundations of AI methodologies Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes Experience in delivering libraries, platform level code or solution level code to existing products A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects This role is designated as a hybrid position. You are expected to adhere to Capital One's hybrid policy regarding required on-site presence at your designated office location. Basic Qualifications: Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, High Performance Computing, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on Generative AI (LLMs, Diffusion models and related approaches) or Masters with 5 years of industrial research experience in deep learning based techniques Multiple publications at top-tier venues (e.g., KDD, SIGIR, RecSys, NeurIPS, ICLR) on topics related to generative recommendation, retrieval-augmented generation (RAG), LLM-based agents, or large-scale semantic search Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Behavioral Models PhD focus on topics in geometric deep learning (Graph Neural Networks, Sequential Models, Multivariate Time Series) Multiple papers on topics relevant to training models on graph and sequential data structures at KDD, ICML, NeurIPs, ICLR Experience training foundation models from scratch or significantly adapting large-scale models (10B+ parameters) for complex financial data, transactional sequences, or user behavior graphs Track record of scaling graph models to greater than 50M nodes and operating within high-velocity, real-time streaming data environments Contributions to common open source frameworks (pytorch-geometric, DGL) Proposed new methods for inference or representation learning on graphs or sequences Worked datasets with 100m+ users Optimization (Training & Inference) Multiple years of experience or publications focused on model sparsification, quantization, training parallelism/partitioning design, or gradient checkpointing for 10B+ parameter models Hands-on experience with large-scale orchestration systems (Kubernetes, KubeRay) and contributions to common open-source ML frameworks (PyTorch-Geometric, DGL, HuggingFace) Experience building and deploying deep learning-based recommender systems at scale (100M+ users or items), ideally within travel, personalization, or e-commerce contexts Finetuning PhD focused on topics related to aligning Large Language Models for recommendation and search tasks via Supervised Fine-Tuning (SFT), Reinforcement Learning from Human Feedback (RLHF), or Direct Preference Optimization (DPO) Experience deploying a fine-tuned large language model optimized for serving performance Proven ability to design and lead small-scale research initiatives, guiding junior researchers or engineers through experimental design and evaluation 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: $262,500 - $299,600 for Applied Researcher 5 McLean, VA: $262,500 - $299,600 for Applied Researcher 5 New York, NY: $286,400 - $326,800 for Applied Researcher 5 San Francisco, CA: $286,400 - $326,800 for Applied Researcher 5 San Jose, CA: $286,400 - $326,800 for Applied Researcher 5 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 . click apply for full job details

Job Description Job Description COMPANY OVERVIEW Founded in 2007 in Huntsville, AL, MartinFed provides the U.S. government with customer-focused, performance-based solutions using technology and an empowered workforce as an engine to drive its customers' missions. Our goal is to attract the best and brightest within their field. We invest in our people because they are our greatest asset. They cultivate our purpose, embody and reflect our core values, and define our culture. MartinFed's core values that set us apart are the following: Be Driven - We are fueled by the hunger to learn more and do more. Be Curious - We engage in continuous improvement - never accepting the status quo. Be Humble - We seek honest feedback to strengthen our relationships. Pursue Excellence - We strive to achieve extraordinary results and do not settle for mediocrity. Strive for excellence and consider joining our growing team today! JOB OVERVIEW The Junior Software Engineer provides hands-on development and engineering support to the Splunk Engineering and Maintenance team supporting government agencies. Working under the direction of senior Data, Platform, and Detection Engineers, this role contributes across the full breadth of the SIEM environment: onboarding and normalizing data sources, maintaining platform infrastructure and configurations, developing searches, dashboards, and content, and automating recurring engineering tasks through scripting and code. This is an entry-level, growth-oriented position for an engineer with a software development or cybersecurity foundation who is expected to build depth in Splunk and security operations over time. The Junior Software Engineer collaborates with senior engineers, security analysts, and agency stakeholders, and follows established code review, testing, and change management practices. Essential Functions: Software Development and Automation. Write, test, and maintain scripts and small applications (Python, Bash, PowerShell) that automate recurring Splunk engineering, maintenance, and reporting tasks. Use version control, peer code review, and established branching and deployment practices for all code and configuration changes. Data Engineering Support. Assist with onboarding new log sources, including configuration of inputs, forwarders, parsing rules (props and transforms), source types, and index assignment. Support data quality efforts by validating field extractions, timestamps, event breaking, and Common Information Model (CIM) normalization under senior engineer guidance. Platform Engineering and Maintenance. Support routine maintenance of the Splunk environment, including indexers, search heads, forwarders, deployment servers, and app and patch deployments. Monitor platform health, license usage, ingest volume, and search performance; identify anomalies and assist senior engineers with troubleshooting and remediation. Content Development. Develop and maintain SPL searches, reports, dashboards, and alerts that support security, operational, and mission use cases. Assist Detection Engineers with building, testing, documenting, and deploying detection content through established review and release workflows. Testing, Documentation, and Quality. Test changes in development and test environments prior to production deployment and validate results against expected outcomes. Maintain technical documentation, configuration standards, runbooks, and knowledge articles for the work performed. Operational and Customer Support. Respond to assigned tickets and user requests for Splunk access, search assistance, data questions, and minor configuration changes. Provide data and platform context in support of incident response, audits, and after-action activities as directed. Collaboration and Professional Development. Participate in stand-ups, sprint planning, code reviews, and change management processes with the Splunk Engineering and Maintenance team. Work with senior engineers to translate requirements into technical tasks, and progress toward Splunk certification and technical specialization. QUALIFICATIONS: US Citizen with an active Top Secret Security Clearance. Bachelor's degree in computer science, Software Engineering, Information Systems, Cybersecurity, or a related technical field; equivalent technical training, certifications, or demonstrable experience will be considered. 0-2 years of professional software development, IT engineering, or cybersecurity experience; internship, co-op, apprenticeship, or substantial project work is applicable. Working proficiency in at least one programming or scripting language such as Python, Bash, PowerShell, Java, Go, or JavaScript. Comfort operating in a Linux command-line environment and a foundational understanding of system administration concepts. Familiarity with version control (Git) and standard development workflows including branching, pull requests, and code review. Ability to work with structured and semi-structured data formats such as JSON, XML, CSV, YAML, and syslog, including basic use of regular expressions. Foundational understanding of networking and logging concepts (TCP/IP, DNS, HTTP, authentication events) and how security-relevant events are generated across endpoint, network, and cloud. Foundational cybersecurity knowledge, including core security principles, common attack patterns, and the role of a SIEM in security operations. Willingness and demonstrated ability to learn Splunk and the Splunk Search Processing Language (SPL) quickly. Clear written and verbal communication skills, including the ability to document technical work for other engineers and non-technical stakeholders. Strong problem-solving skills, attention to detail, and the ability to take direction and follow established engineering processes. Ability to obtain and maintain the clearance and suitability requirements for the contract. PREFERRED: Hands-on exposure to Splunk (SPL, dashboards, universal forwarders, apps) or another SIEM such as Elastic, Microsoft Sentinel, QRadar, or Google SecOps. Splunk Core Certified User or Splunk Core Certified Power User, or willingness to obtain within the first year. CompTIA Security+, Network+, or a comparable industry certification. Experience with REST APIs, data parsing and normalization, and data pipeline concepts. Familiarity with cloud platforms (AWS, Azure, or GCP) and their native logging services. Exposure to configuration management or infrastructure-as-code tooling such as Ansible, Terraform, or Puppet. Exposure to CI/CD pipelines, automated testing, and containerization (Docker, Kubernetes). Familiarity with MITRE ATT&CK, detection engineering concepts, and SOC workflows. Experience supporting a federal customer or working in an accredited environment. Interest in growing into a Data, Platform, or Detection Engineering specialization. PHYSICAL REQUIREMENTS & ENVIRONMENTAL CONDITIONS Inside office environment. Working on a computer for long periods of time. May involve long period of sitting at a desk. The work environment is fast-paced and sometimes involves extreme deadline pressures. OTHER DUTIES This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. MartinFed is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regards to race, color, religion, religious creed, gender, sexual orientation, gender identity, gender expression, transgender, pregnancy, marital status, national origin, ancestry, citizenship status, age, disability, protected Veteran Status, genetics or any other characteristics protected by applicable federal, state or local law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. In addition to federal law requirements, MartinFed complies with all applicable state and local laws governing nondiscrimination in all locations. If you are a qualified individual with a disability or disabled veteran, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access MartinFed's current openings as a result of your disability. You can request reasonable accommodations by calling . Thank you for your interest in MartinFed. Please Note: All positions at MartinFed are contingent upon passing a background check prior to a start date and are subject to random drug screenings during the employment period. In addition, MartinFed is an E-Verify employer. Job Posted by ApplicantPro

Job Description Job Description As Centerline expands its data center operations throughout Texas and across the United States, we are seeking experienced Data Center Fiber Splice Technicians to support the installation, testing, commissioning, and maintenance of critical fiber infrastructure. This role combines hands-on technical expertise with collaboration across construction, commissioning, and customer teams in fast-paced, mission-critical environments. The ideal candidate will have extensive experience with fiber optic splicing, testing, troubleshooting, and documentation within data center, enterprise, or telecommunications environments. Candidates should be customer-focused, safety-minded, and committed to delivering high-quality work. What You Will Do: Perform single-fiber, ribbon, and mass fusion splicing of single-mode and multi-mode fiber optic cables in data center environments. Install, terminate, test, and troubleshoot fiber optic infrastructure supporting hyperscale, enterprise, and colocation data centers. Work with fiber distribution frames (FDFs), patch panels, MPO/MTP systems, and structured cabling infrastructure. Perform advanced fiber testing and troubleshooting using OTDR, OLTS, iOLM, power meters, and fiber characterization equipment. Interpret fiber routing diagrams, rack elevations, splice schematics, and construction drawings. Prepare accurate as-built documentation, test results, labeling, and project deliverables. Support commissioning, turn-up, migration, and maintenance activities for active network environments. Identify and resolve fiber-related issues while maintaining service continuity in mission-critical facilities. Collaborate with project managers, engineers, customers, and commissioning teams to ensure successful project completion. Train and mentor junior technicians on fiber splicing techniques, testing procedures, and industry best practices. Maintain compliance with customer standards, quality requirements, and company safety programs. Participate in scheduled maintenance windows, including occasional night, weekend, and holiday work when required. What You Will Need: Minimum 2 years of experience as a Fiber Optic Splice Technician, preferably in data center, enterprise, or telecommunications environments. High School Diploma or GED required. Demonstrated experience with fusion splicing, ribbon splicing, fiber testing, and troubleshooting. Strong understanding of single-mode and multi-mode fiber optic systems. Ability to read and interpret construction drawings, fiber schematics, and technical documentation. Experience using OTDRs, power meters, light sources, iOLM platforms, and fiber certification equipment. Ability to perceive color differences for fiber identification and troubleshooting. Proficiency with basic computer applications and project documentation tools. Strong communication and teamwork skills. Valid driver's license with acceptable driving record. Ability to pass required background checks, drug screenings, and customer-specific site requirements. Ability to work in active data center environments while following strict operational and safety procedures. Nice to have: Ribbon Splicing Connectorization experience Work Environment: Repeated and frequent ability to lift, from floor to above head, 25 lbs continuously. Ability to sit, stand, climb, kneel, bend, lift, crawl, squat, reach, and utilize both hands and feet in an aerial and underground capacity. Environmental Conditions exposure is heat, cold, dust, wet, vibration, and very loud noise. Requires the ability to sit for extended periods, stand, bend, walk, communicate via telephone, computer and/or face-to-face contact, vision to monitor, and use basic office equipment such as a personal computer, copier, and fax machines regularly during the course of work. Work is performed in and out of an office environment. This job description is not intended to be all-inclusive. Employee may perform other related duties as negotiated to meet the ongoing needs of the organization. AAP/EEO Statement: Centerline is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Who We Are At Centerline, we design, build, and maintain industry-leading critical infrastructure across North America. Our technicians, engineers, and professional staff bring unmatched expertise to each job, working as a team to deliver consistent, exceptional results. That's why Fortune 500 clients choose Centerline again and again for a wide range of projects. With demand for connectivity at an all-time high, Centerline's opportunities for growth are limitless - and so are yours. We're committed to fostering your professional advancement and supporting your career journey. We look for team members who demonstrate our core values: Safety, Teamwork, Accountability, and Reliability. Our values are key to our team's success and driving everyone to reach their full potential. As a member of our winning team, you'll receive comprehensive insurance benefits - medical, dental, and vision - plus a 401(k) plan, referral bonuses, and generous PTO. Join us today. Together, we're building a better network.