7 java developer jobs found

Team CATHEXIS elevates the government contracting experience through rapid response, deep skill, and thoughtful problem-solving and communication. Our core capabilities are our top-tier program and project management, data analytics, and audit services, the backbone of which is our integrated approach to operational excellence. You worked hard to get to where you are. You strive to make every day better than the day before. So do we. Team CATHEXIS operates with an all-in mindset. We are working together to create a company that supports our shared values and individual goals. Our values are centered around leading with integrity, owning the outcome, growing together, and moving with purpose in everything we do for our employees, customers, partners, and communities. We believe success is best when we listen and lead with empathy; model high standards of ethics to provide a rewarding candidate experience; work hard, have fun, and appreciate the strengths we all bring to the team;...

Distinguished Software Engineer - Identity As a Distinguished Engineer at Capital One, you will be a part of a community of technical experts working to define the future of banking in the cloud. The Mission: We are moving beyond the era of static, administrative-time access to a future defined by Adaptive, Policy-Based Orchestration. We aren't just migrating our core infrastructure from on-premise to the Cloud; we are fundamentally re-architecting how identity serves as the perimeter in a highly regulated environment. Our goal is to abstract the complexity of legacy Identity Governance and Administration (IGA) and replace standing privileges with a Just-In-Time (JIT) ecosystem. We are looking for a visionary architect to build an intelligent, self-sufficient platform that evaluates real-time context-integrating endpoint risk, network signals, and behavioral heuristics-to grant the right access, to the right resources, at the exact moment it's needed. What You...

Distinguished Software Engineer - Identity As a Distinguished Engineer at Capital One, you will be a part of a community of technical experts working to define the future of banking in the cloud. The Mission: We are moving beyond the era of static, administrative-time access to a future defined by Adaptive, Policy-Based Orchestration. We aren't just migrating our core infrastructure from on-premise to the Cloud; we are fundamentally re-architecting how identity serves as the perimeter in a highly regulated environment. Our goal is to abstract the complexity of legacy Identity Governance and Administration (IGA) and replace standing privileges with a Just-In-Time (JIT) ecosystem. We are looking for a visionary architect to build an intelligent, self-sufficient platform that evaluates real-time context-integrating endpoint risk, network signals, and behavioral heuristics-to grant the right access, to the right resources, at the exact moment it's needed. What You...

Senior Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE) , you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and...

Summary Do not email applications. To submit your resume for this Direct Hire opportunity click here . For additional information on other USSF direct hire opportunities visit the Air Force Civilian Careers Space Force website and follow USSF on LinkedIn . Learn more about this agency This job is open to The public U.S. Citizens, Nationals or those who owe allegiance to the U.S. Duties The United States Space Force (USSF) Headquarters Space Force Command (HQSF) at The Pentagon in Arlington, Virginia is searching for a USSF Data & AI Officer (NH-1560-04, GS 14/15 equivalent). Description: We are seeking a dynamic USSF Data and AI Officer to join the U.S. Space Force team and play a critical role in the planning, governance, and implementation of cutting-edge enterprise data and AI capabilities that support mission outcomes. In this position, you will work closely with cross-functional teams-including cyber/IT,...

Senior Machine Learning Engineer - Intelligent Foundations and Experiences (IFX) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:...

Senior Lead, Machine Learning (GenAI, Python, AWS) As a Capital One Senior Lead Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design , develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Operations, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build,...