Java jobs in Richmond, VirginiaCreate job alerts

Job DescriptionCompany Description CapTech is an award-winning consulting firm that collaborates with clients to achieve what’s possible through the power of technology. At CapTech, we’re passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country. Job Description As a Quality Assurance Manager (Mid-Level II), you will lead QA efforts across multiple projects, ensuring high-quality deliverables and alignment with client objectives. This role blends hands-on testing expertise with leadership responsibilities, requiring strong technical skills, strategic thinking, and the ability to mentor and guide QA teams. Key Responsibilities: • Lead QA Strategy & Execution, • Develop and implement comprehensive test strategies for functional, performance, automation, and user acceptance testing., • Ensure thorough test coverage and adherence to CapTech standards., • Team Leadership & Collaboration, • Manage QA teams and allocate resources effectively across projects., • Partner with project managers, developers, and stakeholders to align testing efforts with business goals., • Quality Governance & Risk Management, • Perform risk analysis and establish quality checkpoints throughout the project lifecycle., • Drive process improvements to enhance efficiency and consistency in QA practices., • Mentorship & Talent Development, • Mentor junior and mid-level QA analysts., • Support recruiting efforts and contribute to building a strong QA practice., • Detailed Testing Responsibilities, • Work with Business/Product SMEs to understand requirements., • Review requirements with developers and other QAs for consistency and accuracy., • Create, maintain, and execute test plans, scenarios, and cases against complex software systems., • Enter test scenarios, cases, and expected results in test management tools; analyze and communicate results., • Execute complex SQL queries to validate data persistence., • Create and track defects in specified tools and participate in daily SCRUMs., • Identify test cases for automation and build/review automation code per standards., • Build and maintain automation frameworks (UFT, Playwright, TypeScript, Java, Selenium) and integrate into CI/CD pipelines.Qualifications, • Ability to learn and understand complex software systems and their interrelationships quickly., • 5+ years’ experience with all types of software testing including functional, non-functional, integration, regression, and user acceptance., • Experience in automated testing using UFT and open-source tools such as Playwright and Selenium (required).5+ years’ experience testing Java applications., • Clear and effective written and oral communication skills., • In-depth knowledge of test planning, test case creation, and execution., • Solid experience with software technologies including HTML, XML, Java, TypeScript, React or Next.js., • Solid experience with MS SQL databases., • Solid experience with version control systems such as GIT., • Solid experience with Azure DevOps (Boards, Repos, Pipelines, Test Plans)., • Ability to work both independently and in a team environment with minimal supervision., • Knowledge of Agile Scrum development methodology and QA’s role in the process., • Experience hosting requirement and test scenario reviews with developers, QAs, and stakeholders., • Ability to manage impact to test scenarios and cases when requirements change., • Detail-oriented with strong root cause analysis skills. Additional Information CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness — each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE. At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.

Job Description Only Local to Virginia candidates preferred. Experience : 10+ years only The Senior Developer is expected to take a lead role within the team, ensuring that programming best practices are being followed, prioritizing work effectively, addressing production issues in a timely manner, and writing system documentation when required. The successful candidate should have strong communication skills to be effective in both technical and business requirement discussions. Skills : • Ability to develop applications and backend services using C#, ASP.NET MVC, Web API, Java Script, JQuery, Angular JS, Node.js and CSS., • Experience with ADO.Net and Entity Frameworks, • Experience with Automated Builds using Microsoft Team Foundation Server., • Experience with Oracle / SQL Server database Primary responsibilities include: • Web application development experience and fluency with JavaScript including frameworks JQuery, React, Angular or Blazor, CSS3 and HTML5, • Design and develop using appropriate software design patterns to attain high reusability and maintainability., • Write effective unit tests and integration tests to ensure high quality software delivery., • •n-depth knowledge of system design patterns, tiered architecture, and testing practices., • Understanding of key business processes and competitive strategies related to the IT function., • Ability to plan and manage projects. Ability to solve complex problems by applying best practices., • Ability to provide direction and mentor less experienced teammates., • Work with project business and system analysts to clarify the requirements and then implement them., • Participate in code reviews., • Enforce standards and best practices., • Participate in Agile SDLC.

Job DescriptionCompany Description CapTech is an award-winning consulting firm that collaborates with clients to achieve what’s possible through the power of technology. At CapTech, we’re passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country. Job Description • Strategic Planning and Roadmap Development: Craft and execute a detailed implementation roadmap for Power Platform and Dynamics 365, aligning with client objectives and ensuring seamless CRM and ERP integration., • Organizational Analysis: Conduct in-depth assessments to pinpoint process optimization and automation opportunities through Dynamics 365 and Power Platform, • Team Structure Planning: Advise on the optimal organizational and team structures needed to robustly support the Dynamics 365 and Power Platform ecosystem., • Hands-On Configuration and Implementation Support: Provide direct configuration and implementation assistance across various Microsoft Suite modules, from pilot projects to major rollouts., • Customer Service Module Deployment: Lead the deployment of the Dynamics 365 Customer Service module, including the setup of multiple work centers and external customer self-service features., • Collaborative Leadership: Foster strong collaboration across client departments to guarantee an integrated and unified Dynamics 365 and Power Platform implementation approach., • Training and User Support: Design and deliver effective training sessions to users at all levels, promoting high platform adoption and competency. Offer ongoing support to ensure the maximization of Dynamics 365 and Power Platform functionalities., • Continuous System Improvement: Continually assess system performance and lead improvement initiatives to boost functionality, user experience, and business value.Qualifications, • 10+ Years of Microsoft Dynamics 365 and Microsoft Power Platform experience., • Experience utilizing CCaaS or Omnichannel., • Bachelor's degree in Computer Science, Information Technology, Business Administration, or a related field., • Experience with hands-on development in Java, Python, or .NET., • Demonstrated success in leading Microsoft Dynamics 365 implementations, with a robust portfolio of CRM and ERP projects., • Expert knowledge of Dynamics 365 capabilities, configuration, and integration strategies., • Strong project management proficiency, capable of guiding cross-functional teams in fast-paced settings., • Exceptional communication skills, adept at translating technical details for a non-technical audience., • Microsoft Dynamics 365 certification is strongly preferred., • Understanding how MS Dynamics integrates with other components in an Enterprise, like Salesforce, • The opportunity to impact significant transformation projects, leveraging the latest technologies to deliver innovative solutions. Additional Information We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we’ve launched extended benefits to help meet our employees’ needs. • Learning & Development – Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths, • Modern Health –A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life’s ups and downs, • Carrot Fertility –Inclusive fertility and family-forming coverage for all paths to parenthood – including adoption, surrogacy, fertility treatments, pregnancy, and more – and opportunities for employer-sponsored funds to help pay for care, • Fringe –A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them – ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more, • Employee Resource Groups – Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations, • Philanthropic Partnerships – Opportunities to engage in partnerships and pro-bono projects that support our communities., • 401(k) Matching – Generous matching and no vesting period to help you continue to build financial wellness CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs. CapTech supports Equal Pay for all. In addition, in the State of Virginia, we are committed to Equal Pay for ALL in accordance with the Virginia Transparency Law. Compensation for this role will be commensurate with the candidate’s skills, total relevant experience, job level, and geographic location. The base pay range for this role is: $90,000 - $190,000. CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness — each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE. At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.

Job DescriptionCompany Description CapTech is an award-winning consulting firm that collaborates with clients to achieve what’s possible through the power of technology. At CapTech, we’re passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country. Job Description CapTech Data Engineering consultants enable clients to build and maintain advanced data systems that bring together data from disparate sources in order to enable decision-makers. We build pipelines and prepare data for use by data scientists, data analysts, and other data systems. We love solving problems and providing creative solutions for our clients. Cloud Data Engineers leverage the client’s cloud infrastructure to deliver this value today and to scale for the future. We enjoy a collaborative environment and have many opportunities to learn from and share knowledge with other developers, architects, and our clients. Specific responsibilities for the Data Engineer – Cloud position include: • Developing data pipelines and other data products using Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP), • Advising clients on specific technologies and methodologies for utilizing cloud resources to efficiently ingest and process data quickly, • Utilizing your skills in engineering best practices to solve complex data problems, • Collaborating with end users, development staff, and business analysts to ensure that prospective data architecture plans maximize the value of client data across the organization., • Articulating architectural differences between solution methods and the advantages/disadvantages of each Qualifications Typical experience for successful candidates includes: • Experience delivering solutions on a major cloud platform, • Ability to think strategically and relate architectural decisions/recommendations to business needs and client culture, • Experience in the design and implementation of data architecture solutions, • A wide range of production database experience, usually including substantial SQL expertise, database administration, and scripting data pipelines, • Ability to assess and utilize traditional and modern architectural components required based on business needs., • A demonstrable ability to deliver production data pipelines and other data products. This could be hands on experience, degree, certification, bootcamp, or other learning. Skills: Successful candidates usually have demonstrable experience with technologies in some of these categories: • Languages: SQL, Python, Java, R, C# / C++ / C, • Database: SQL Server, PostgreSQL, Snowflake, Redshift, Aurora, Presto, BigQuery, Oracle, • DevOps: git, docker, subversion, Kubernetes, Jenkins, • Additional Technologies: Spark, Databricks, Kafka, Kinesis, Hadoop, Lambda, EMR, • Popular Certifications: AWS Cloud Practitioner, Microsoft Azure Data Fundamentals, Google Associate Cloud Engineer Additional Information We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we’ve launched extended benefits to help meet our employees’ needs. • CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs., • Learning & Development – Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths Modern Health –A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life’s ups and downs Carrot Fertility –Inclusive fertility and family-forming coverage for all paths to parenthood – including adoption, surrogacy, fertility treatments, pregnancy, and more – and opportunities for employer-sponsored funds to help pay for care Fringe –A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them – ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more Employee Resource Groups – Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations Philanthropic Partnerships – Opportunities to engage in partnerships and pro-bono projects that support our communities. 401(k) Matching – Generous matching and no vesting period to help you continue to build financial wellness CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness — each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE. As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email lmassa@captechconsulting.com. CapTech supports Equal Pay for all. In addition, in the State of Virginia, we are committed to Equal Pay for ALL in accordance with the Virginia Transparency Law. Compensation for this role will be commensurate with the candidate’s skills, total relevant experience, job level, and geographic location. The base pay range for this role is: $90,000 - $200,000. At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.

Job Description *Contingent upon Award This role is hybrid. VDOT is seeking aVDOT is seeking a Senior Azure Infrastructure Engineer to implement, configure, manage, and provide guidance on cloud infrastructure in VDOT's Azure environment. We are looking for someone who is truly passionate about implementing and maintaining a secure and stable Azure environment- someone who likes taking on challenges and seeing them through to the end, is comfortable working with/guiding others, and comfortable with providing guidance to management and upper leadership. Requirements: Experience providing guidance on the implementation of resources, networking, and security policy in Azure, and experience implementing, maintaining, and monitoring those resources. Experience with working in mission-critical enterprise environments, including overseeing backup & disaster recovery operations Experience planning & executing cloud migrations, and moving workloads from on-premises to the cloud. Comfortable working in an environment that utilizes multiple frameworks/technologies, including .NET, Java, SQL, Oracle, Microsoft Dynamics, and more. Experience providing support and troubleshooting issues for production applications. Experience working with security tools such as Tenable to manage vulnerability remediation, etc. Experience with tools like Azure Monitor, Workbooks, and Alerts - to create meaningful monitoring dashboards & alerting for critical observability for the ops team Experience crafting disaster recovery (DR) plans to ensure minimal downtime and prevent data loss. Strong networking knowledge - including understanding OSI layer functionality and network protocols. Azure Infrastructure & Cloud Operations Skills MatrixSkillRequired / DesiredYears of ExperienceExperience implementing, maintaining, monitoring, and providing guidance on resources and infrastructure in Microsoft AzureRequired8 YearsExperience planning and executing migrations from on-premises environments to AzureRequired8 YearsExperience working in mission-critical enterprise environments and implementing backup and disaster recovery (DR) strategiesRequired8 YearsExperience implementing networking and security policies in AzureRequired8 YearsExperience using Azure Monitor for alerting, observability, monitoring, and dashboard developmentRequired8 YearsExperience with vulnerability remediation and participation in enterprise security initiativesRequired8 Years Nice-to-haves: Microsoft-focused certifications, such as: Azure Administrator Associate, Azure Solutions Architect, etc. Networking-focused certifications, such as: Network+, CCNA, etc.

Job DescriptionCompany Description Ashburn Consulting, LLC, based in the Washington, DC metropolitan area, specializes in providing network and network security solutions in complex environments to a select set of government and business clients. The company, an established leader in its field, is composed of an elite team of engineers and business consultants, each of whom is recognized, and highly regarded, within the network and security communities. Job Description Ashburn Consulting, LLC. is seeking a Senior Azure Infrastructure Engineer to implement, configure, manage, and provide guidance on cloud infrastructure in Client's Azure environment. We are looking for someone who is truly passionate about implementing and maintaining a secure and stable Azure environment- someone who likes taking on challenges and seeing them through to the end, is comfortable working with/guiding others, and comfortable with providing guidance to management and upper leadership. Key Responsibilities Design, implement, and manage scalable and secure cloud infrastructure solutions in Microsoft Azure. Provision and configure Azure resources, including virtual machines, storage accounts, virtual networks, and associated services. Develop and maintain automated deployment pipelines and workflows using Azure DevOps, ARM templates/Bicep, PowerShell, or similar tools. Monitor cloud environments to ensure optimal performance, scalability, availability, and cost efficiency. Implement and enforce cloud security best practices, including identity management, network security, and compliance controls. Collaborate with development and operations teams to support application deployment, integration, and lifecycle management. Troubleshoot and resolve infrastructure, networking, and performance issues within Azure environments. Support hybrid cloud integrations and connectivity between on-premises and cloud environments. Provide technical guidance, mentorship, and best practices to teams adopting Azure services. Maintain documentation of cloud architecture, configurations, and operational procedures. Stay current with emerging Azure technologies and recommend improvements to enhance platform capabilities. Qualifications • Minimum 7-8 years of progressive experience working on Cloud Engineering, especially Azure Cloud Infrastructure, or a related field., • Experience providing guidance on the implementation of resources, networking, and security policy in Azure, and experience implementing, maintaining, and monitoring those resources., • Experience with working in mission-critical enterprise environments, including overseeing backup & disaster recovery operations, • Experience planning & executing cloud migrations, and moving workloads from on-premises to the cloud., • Comfortable working in an environment that utilizes multiple frameworks/technologies, including .NET, Java, SQL, Oracle, Microsoft Dynamics, and more., • Experience providing support and troubleshooting issues for production applications., • Experience working with security tools such as Tenable to manage vulnerability remediation, etc., • Experience with tools like Azure Monitor, Workbooks, and Alerts - to create meaningful monitoring dashboards & alerting for critical observability for the ops team, • Experience crafting disaster recovery (DR) plans to ensure minimal downtime and prevent data loss., • Strong networking knowledge - including understanding OSI layer functionality and network protocols., • Microsoft-focused certifications, such as: Azure Administrator Associate, Azure Solutions Architect, Azure DevOps Engineer Expert, etc., • Networking-focused certifications, such as: Network+, CCNA, etc. Additional Information PHYSICAL REQUIREMENTS: Work is equally performed in the field as well as in a normal office environment. Lifting (up to 50lbs) may be required. Ladder climbing may be required. Driving is required. All duties performed with or without reasonable accommodations. Additional Information Equal Opportunity Employer/Veterans/Disabled. An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status Ashburn Consulting is an Equal Opportunity Affirmative Action Employer. In compliance with the American with Disabilities Act Amendments Act (ADAAA), if you have a disability and would like to request and accommodation in order to apply for a position with Ashburn Consulting, please e-mail hr@ashburnconsulting.com.” Ashburn Consulting is an Equal Opportunity Affirmative Action Employer. In compliance with the American with Disabilities Act Amendments Act (ADAAA), if you have a disability and would like to request and accommodation in order to apply for a position with Ashburn Consulting, please e-mail hr@ashburnconsulting.com.”

Job Description Job Title: Senior Infrastructure Engineer Work Type: Hybrid Location: Richmond, VA Metro Area Salary: $58 – $78 per hour Industry Category: Information Technology / Infrastructure Engineering Employment Type: 1099 Contract Requisition ID: 807928 Overview We are seeking an experienced Senior Infrastructure Engineer to support and enhance its mission-critical hybrid infrastructure environment. This role requires extensive hands-on experience with Windows Server across on-premises and cloud environments, along with expertise in security, patching, automation, migrations, disaster recovery, networking, and enterprise production application support. The ideal candidate will bring strong technical troubleshooting skills and the ability to collaborate effectively with infrastructure, operations, security, and application teams. Application • Candidates must physically reside within the United States for the duration of the assignment in accordance with Commonwealth of Virginia security policies., • Local candidates are preferred. Non-local candidates must be willing to relocate to the Richmond, VA metro area., • On-site attendance is required 1–2 days per week following initial training and knowledge transfer., • Candidates must be legally authorized to work in the United States without employer sponsorship, now or in the future., • Candidate email address must be provided with the submission. Job Description The Senior Infrastructure Engineer will support, administer, secure, and optimize VDOT's hybrid infrastructure environment. Responsibilities include Windows Server administration, operating system upgrades, patching, automation, cloud migrations, vulnerability remediation, backup and disaster recovery, infrastructure monitoring, and advanced production application support. The engineer will work across enterprise technologies including .NET, Java, SQL, Oracle, Microsoft Dynamics, and warehouse platforms. The position also requires strong networking expertise, including a thorough understanding of OSI model layers and network protocols, to diagnose complex connectivity, infrastructure, middleware, and application issues. This individual will collaborate with the IT Portfolio Manager, Infrastructure & Operations teams, and other cross-functional stakeholders to deliver reliable, secure, and scalable infrastructure solutions. Responsibilities Infrastructure Operations & Administration • Administer, maintain, troubleshoot, and optimize Windows Server environments across on-premises and cloud infrastructure., • Perform operating system upgrades, patch installation, testing, and ongoing system updates., • Plan and execute server migrations, including moving workloads from on-premises environments to cloud platforms., • Support mission-critical infrastructure and improve system performance, reliability, and operational efficiency. Patching, Monitoring & Automation • Develop and maintain PowerShell scripts and Windows Server automation for centralized and repetitive administrative tasks., • Manage recurring patching cycles and system updates across server environments., • Use SCCM or similar platforms for automated patch management, deployment, and reporting., • Monitor infrastructure services and system performance to proactively identify and resolve issues. Security & Compliance • Implement and maintain server security configurations, including endpoint protection, access controls, and system-hardening standards., • Perform server and application vulnerability remediation to maintain security and compliance., • Support security tools and operational processes for consistent infrastructure protection and monitoring. Backup & Disaster Recovery • Oversee backup operations and recovery processes for mission-critical environments., • Develop, refine, and support disaster recovery plans designed to minimize downtime and prevent data loss., • Support recovery activities and validate infrastructure readiness for disaster recovery scenarios. Production Application Support • Provide advanced server-level support for enterprise applications using .NET, Java, SQL, Oracle, Microsoft Dynamics, and warehouse technologies., • Diagnose and resolve high-impact production issues across infrastructure, server, application, and middleware layers., • Support complex production applications operating within hybrid infrastructure environments. Networking & Systems Integration • Apply strong knowledge of OSI model functionality and network protocols to diagnose connectivity, infrastructure, and application issues., • Troubleshoot network-related dependencies affecting servers and production applications., • Collaborate with cross-functional teams to address infrastructure requirements and support application deployments and enhancements. Communication & Collaboration • Translate business and user requests into actionable technical solutions., • Provide technical support and communicate effectively in English, both verbally and in writing., • Partner with the IT Portfolio Manager, Infrastructure & Operations teams, and other stakeholders to align engineering activities with organizational requirements. Requirements Minimum Qualifications • Minimum 6 years of hands-on experience with Windows Server in hybrid on-premises and cloud environments., • Minimum 6 years of experience translating user requests into technical solutions, providing technical support, and communicating effectively in English verbally and in writing., • Minimum 6 years of hands-on experience with operating system upgrades, patch installation, and testing., • Minimum 6 years of hands-on experience using PowerShell and Windows Server scripting to perform centralized tasks., • Minimum 6 years of experience performing regular patching and system updates to maintain security and stability., • Minimum 6 years of experience overseeing backup operations and recovery processes in mission-critical environments., • Minimum 6 years of experience planning and executing server migrations, including moving workloads from on-premises environments to the cloud., • Minimum 6 years of experience supporting environments using technologies including .NET, Java, SQL/Oracle, Microsoft Dynamics, and related enterprise platforms., • Minimum 6 years of experience providing server-level support and troubleshooting production application issues., • Minimum 6 years of experience managing server and application vulnerability remediation., • Minimum 6 years of experience using SCCM or similar tools for automated patch management and deployment., • Minimum 6 years of experience developing disaster recovery plans to minimize downtime and prevent data loss., • Minimum 6 years of networking experience, including knowledge of OSI layer functionality and network protocols., • Minimum 6 years of experience collaborating with cross-functional teams to address infrastructure needs and support application deployments., • Must physically reside within the United States for the duration of the assignment., • Must be legally authorized to work in the United States without employer sponsorship, now or in the future., • Local candidates are preferred; non-local candidates must be willing to relocate to the Richmond, VA metro area., • Must be able to work on-site 1–2 days per week following initial training and knowledge transfer. Preferred Qualifications • Microsoft-focused certifications such as Azure Administrator Associate, Windows Server Hybrid Administrator Associate, or comparable certifications., • Network-focused certifications such as CompTIA Network+, CCNA, or comparable certifications. Benefits Compensation • This is a 1099 Contract role., • Pay Rate: $58 – $78 per hour. Schedule • Contract assignment., • Hybrid work arrangement., • Initial training and knowledge transfer are required., • On-site attendance is required 1–2 days per week following initial training and knowledge transfer. Work Location • Richmond, VA metro area., • Local candidates are preferred., • Non-local candidates must be willing to relocate to the Richmond metro area., • Hybrid position requiring on-site attendance 1–2 days per week following initial training and knowledge transfer.

Job DescriptionCompany Description Arthur Grand is an IT services firm specializing in Digital Transformation initiatives for Federal, Commercial, State & local customers. Since 2012, Arthur Grand has been successfully supporting and delivering IT services to our customers in the areas of enterprise modernization and transformation with a core focus on emerging technologies including Cloud Solutions (AWS, Azure), Agile Development, Custom Programming, Full Stack Development, DevOps, DevSecOps, CI/CD, Web Development, Mobile APP Development, Data Visualization, Data Warehousing, Financial/ERP System Implementation and Infrastructure Management. Arthur Grand’s culture of delivery excellence, combined with a commitment to bring the best talent to provide services, has earned our company an unparalleled reputation for delivering transformative results. We are a minority-owned staff augmentation and technology consulting company To keep our valued employees, we need to keep them engaged in challenging, interesting work, offer market-relevant benefits, and provide continued opportunities for professional growth. Please send your resume for immediate consideration If you are interested in the above opportunity, we warmly invite you to join our team. Arthur Grand Technologies is an Equal Opportunity Employer (including disability/vets) Job Description Position: - Programmer Analyst .NET Core – Req ID: 804927 Location: 1401 E Broad St Richmond, VA 23219 - Hybrid Type: Contract Interview type: Both Video & In-Person Interview Skill Required / Desired Amount of Experience Web Application development experience and fluency with JavaScript including frameworks JQuery, React, Angular or Blazor, CSS3 and HTML5 Required 10 Years Experience with Automated Builds using Microsoft Team Foundation Required 10 Years Experience with Oracle SQL Server Database Required 7 Years Experience with PL/SQL and using Oracle Database Required 7 Years Experience with Process automation and troubleshooting Required 7 Years Experience with Agile SDLC best practices Required 3 Years Job Description: Seeking a Developer with 10 yrs or more .Net Web application development. Experience and fluency with JavaScript including frameworks JQuery, React, Angular or Blazor, CSS3 and HTML5experience • Seeking a senior Developer with .Net Applications Developer experience who will be responsible for managing, encoding, analyzing complex software requirements to design and develop high quality components using the .NET Core framework. The Senior Developer is expected to ensure that programming best practices are being followed, prioritize work effectively and write system documentation when required. The successful candidate should have strong communication skills to be effective in both technical and business requirement discussions. Primary responsibilities include: •Ability to develop applications and backend services using C#, ASP.NET MVC, Web API, Java Script, JQuery, Angular JS, Node.js, CSS and Blazor. •Design and develop using appropriate software design patterns to attain high reusability and maintainability. •Write effective unit tests and integration tests to ensure high quality software delivery. •In-depth knowledge of system design patterns, tiered architecture, and testing practices. •Understanding of key business processes and competitive strategies related to the IT function. •Work with project business and system analysts to clarify the requirements and then implement them. •Participate in Agile SDLC. Thanks Richard Tucker Arthur Grand Technologies Inc 8(A) Certified Business | CMMI (L3) | ISO 9001:2015 Certified | ISO/IEC 27001:2022 Certified NMSDC Minority Business Enterprise (MBE) Arthur Grand is an Equal Opportunity Employer (Including disability/Vets) Additional Information All your information will be kept confidential according to EEO guidelines.

Job Description Are you a quality-minded engineer ready to shape how great software gets built? Join Kinsale Insurance, a leading excess and surplus (E&S) lines carrier headquartered in Richmond, VA. We're known for our high-quality, high-touch approach and innovative, personalized solutions that help clients manage complex risks, and we bring that same standard of excellence to how we build and test our own technology. About the Role As a QA Analyst, you'll serve as a proactive quality partner throughout the software development lifecycle — shaping testability, risk-based quality strategy, and sustainable automation after implementation even begins. You'll bring curiosity, sound judgment, and a collaborative approach as you influence teams to design, build, release, and operate software with quality built in from the start. This role offers the chance to grow alongside experienced engineers and QA leaders while helping build a high-performing engineering culture. What You'll Do • Identify, own, and solve quality problems independently and as part of a team, • Design and evolve sustainable, reliable test automation that delivers meaningful end-to-end coverage and long-term maintainability, • Partner with product and engineering teams early to translate business outcomes and technical designs into testable requirements and an effective automation approach for web-based Java applications, • Shape risk-based quality and test strategies after execution begins, defining coverage, testability, and acceptance criteria, • Incorporate non-functional requirements — including performance, security, resilience, and observability — into quality planning and test activities, • Collaborate with Product Owners, engineers, and business stakeholders to clarify requirements, surface quality risks, and inform scope and priority decisions, • Diagnose, isolate, and clearly report defects, using technical evidence to support root-cause analysis and verify fixes, • Influence quality across the development lifecycle through design and code reviews, test development, and clear communication of results and risk, • Mentor others in sound testing practices and partner with QA leaders to continually refine Kinsale's quality strategy and standardsWhat You Bring, • Bachelor's degree in Computer Science or a related field, or an equivalent combination of education and experience, • Experience with web, API, database, and automated software testing, including HTML, JavaScript, CSS, SQL, Playwright, and REST APIs, • Strong analytical skills with the ability to translate business requirements into test strategies, plans, and automated or manual test cases, • Experience testing across functional, integration, regression, performance, UI, and end-to-end scenarios, • Familiarity with CI/CD pipelines (e.g., GitLab) and quality assurance practices in modern software delivery environments, • Strong communication skills, adaptability, and a collaborative mindset in a fast-paced, evolving environment, • Experience using AI-assisted development tools (e.g., Claude, GitHub Copilot) and hands-on exposure to APM tools, logs, and distributed tracing are a plusWhy You'll Love Working at Kinsale, • Competitive Pay & Bonus Opportunities – Rewarding performance and initiative, • Comprehensive Benefits – Health, dental, and vision insurance with up to $3,600 (individual) or $6,800 (family) in HSA contributions per year, • Work-Life Balance – Generous paid time off, including 22 days of PTO and 10 paid company holidays, • Career Growth – Clear promotion paths, mentorship, and ongoing professional development, • Retirement & Security – Up to 6% matching 401(k) contributions on base salary and bonus, standard life insurance, and disability coverage, • Continuous Learning – Annual $3,000 reimbursement for educational training and certificationsIntegrity & Responsibility Kinsale values strong financial responsibility. A credit check will be conducted as part of the selection process for roles that require sound judgment, trustworthiness, or access to sensitive information. Ready to Apply? If you're curious, detail-oriented, and passionate about building quality into every step of the software lifecycle, this is your opportunity to grow your career with a top-performing E&S insurer. Join Kinsale Insurance and help shape an engineering culture that rewards initiative, collaboration, and excellence. Apply today and start building your future with us! Salary Range$100,000 - $115,000This posted range is our best estimate; starting salary will be based on experience level. Additionally, the posted range reflects only base salary and does not include annual bonuses, benefits, or reimbursements.

Job Description Job Type: Corp to Corp, Contract to Hire Pay: $70 - $75 per hour (based on experience) Who We Are Soch is a pioneer in solving the public sector's most critical business challenges by digitizing and automating complex processes. We offer a suite of products that address election integrity, FOIA management, system provisioning and other critical business challenges in the government sector. What We Are Looking For We are looking for a Senior Frontend Developer to build and maintain the system’s dashboard and UI. You will be responsible for developing a visually appealing and highly interactive interface using Angular, ensuring that the system’s users can easily navigate, view reports, and monitor overall performance. We are looking for candidates with hands-on experience, with an enthusiastic, creative attitude and are excited about the intersection of technology, and user experience. In this role you will be responsible to manage the software development life cycle, from planning and development to testing and release. Senior Frontend developer responsibilities include gathering system and user requirements, building angular modules and testing features before release. If you have hands-on experience developing software with agile methodologies and are ready for a creative role, we’d like to meet you. Ultimately, you will develop, deploy and maintain functional, secure and high-quality applications. Note: This role requires hands-on experience. Primary Responsibilities of the Role • Design and develop a responsive and scalable UI using Angular that works seamlessly across devices., • Ensure smooth data handling between frontend and backend through efficient API integration., • Troubleshoot and resolve frontend issues while maintaining high code quality and following best practices for performance optimization., • HTML/CSS, TypeScript and Java, open source frameworks, RESTful web services, and work on cross-browser and cross-device development, • Experience in application servers such as JBOSS EAP etc., • Good understanding of relational database concepts, specifically MS SQL and/or MySQL, • Plan and complete assigned work, plan, communicate effectively orally and in writing;, • Motivate and work with people; quickly adapt to new technical environments (multiple disciplines);, • Manage multiple projects with dynamic priorities;, • Be equally adept at highly technical and strategic issues/projects., • Develop and maintain software lifecycle on AWS (AWS experience is good to have but not required)., • Proven analytical and problem-solving skills; creative thinking., • Ability to provide accurate and realistic effort estimates, commit and deliver accordingly., • Proven experience with multiple operating systems: Linux/Unix/Windows., • Develop, test, debug, document, and maintain Java/JEE applications., • Develop and maintain system documentation, including technical specifications, data mapping, program logic and flowcharts. A Successful Candidate Will Have: • 8+ years of experience with Angular, JavaScript and/or TypeScript., • Proven experience in building data-driven UIs and integrating with RESTful APIs., • Experience with data visualization libraries such as PrimeNG, etc., • Experience in rewriting/Migration from AngularJS version to the newest version, • Strong understanding of UI/UX best practices and responsive design to ensure a modern, responsive, and attractive user interface., • Experience designing, building and testing Java EE applications, • Experience with AWS infrastructure such as configuring application server, DB and network is a plus but not required, • In-depth knowledge of popular Java frameworks like SpringBoot, • Solid understanding of Object-Oriented Design Methodology and Design Patterns like Singleton, Factory, Observer, Proxy, Demand, etc. is required., • Expertise in Core Java concepts, such as OOP Design, Multi-Threading, Generics, Exception Handling, Collections, Java Reflection, Annotation is required., • Extensive practical experience in building enterprise applications using Java EE technologies is required., • Experience in SpringBoot is required., • Experience in ORM frameworks, Configuration management, Build and testing tools is required. Schedule: • Monday to Friday (Onsite/Hybrid) Company's website: • https://www.soch-inc.com Equal Opportunity Employer: Soch, Inc is proud to be an equal employment opportunity employer. Our goal is to be a diverse workforce that is representative, at all job levels. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.' Work Location: • Richmond, VA

Job DescriptionSenior .NET Developer *This is a hybrid position requiring 3 days/week onsite. *Local to the Richmond, VA area, only. *All interviews will be conducted onsite. Description: • Our client is seeking a senior Developer with .Net Applications Developer experience who will be responsible for managing encoding analyzing complex software requirements to design and develop high-quality components using the .NET Core framework., • The Senior Developer is expected to ensure that programming best practices are being followed prioritize work effectively and write system documentation when required., • The successful candidate should have strong communication skills to be effective in both technical and business requirement discussions. Responsibilities: • Ability to develop applications and backend services using C#, ASP.NET, MVC Web API, Java Script, JQuery, Angular JS, Node.js, CSS, and Blazor., • Design and develop using appropriate software design patterns to attain high reusability and maintainability., • Write effective unit tests and integration tests to ensure high-quality software delivery., • In-depth knowledge of system design patterns tiered architecture and testing practices., • Understanding of key business processes and competitive strategies related to the IT function., • Work with project business and system analysts to clarify the requirements and then implement them., • Participate in Agile SDLC.Required Skills/Knowledge/Experience:, • Web Application development experience and fluency with JavaScript including frameworks JQuery, React, Angular or Blazor, CSS3 and HTML5, Required 10 Years, • Experience with Automated Builds using Microsoft Team Foundation, Required 10 Years, • Experience with Oracle SQL Server Database, Required 7 Years, • Experience with PL/SQL and using Oracle Database, Required 7 Years, • Experience with Process automation and troubleshooting, Required 7 Years, • Experience with Agile SDLC best practices, Required 3 YearsProper email communication will only be done to and from @astyra.com email addresses. Please ensure you are communicating with approved Astyra recruiters by checking this point when receiving offers and messages from us. Please ensure you are communicating within these guidelines and proper channels for the quickest possible interview consideration! #AC

Job DescriptionCompany Description CapTech is an award-winning consulting firm that collaborates with clients to achieve what’s possible through the power of technology. At CapTech, we’re passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country. Job Description Consulting at CapTech: • Create, evaluate and manage technical solutions to ensure client success, • Partner with clients on team-based projects to deliver solutions across the full Software Development Lifecycle leveraging the Agile Methodology as well as modern technology languages, frameworks, and patterns, • Thrive in a collaborative environment with many opportunities to learn from and share knowledge with other developers, architects, and our clients., • Design, implement, integrate and support on-prem, cloud, and hybrid development, • Create roadmap and high-level design documentation, epics and stories, • Identify and communicate architectural / solution tradeoffs, for client specific solutions, • Display a working knowledge of different architectural frameworks that may be used by our clients, • Collaborate with cross-functional teammates to support business development by demonstrating CapTech’s technical capabilities Technical Solutions: • Lead the design and architecture of Java-based solutions tailored to meet client-specific needs., • Create technical project estimates and work plans, • Develop code hands-on in addition to architecture solution, • Solutions include API-driven clients, microservice architectures, event-driven integrations, cloud deployments, serverless applications, and web and portal front ends, • Experience with Agentic AI development- Developing agents and developing with agents, • Experience with a Varied AI Toolset- Claude code, CodeX, Opencode, OpenClaude, • Preferred experience with AI orchestration Learning and Professional Development Opportunities: • Create an individualized professional development plan, • Gain experience with a variety of different clients and industry verticals, • Influence and guide professional development efforts for those at all levels, including teaching, coaching, and collaboration through project work and innovation challenges, • Share knowledge and common experiences with fellow CapTechers through Technical Communities of Practice and Lunch and Learns Qualifications Qualifications: • Enterprise-level experience with modern Java, its core libraries, and open-source frameworks, • Hands-on experience with software development, enterprise architecture, and directing technical teams, • Familiarity with microservice architectures, monitoring tools, databases, and containerization, • Ability to think strategically and relate architectural recommendations to business needs and client culture., • Extensive knowledge and application of Design Patterns, • Ability to communicate technical solutions with technical and non-technical stakeholders, • Experience assessing the performance of software systems and implementing tools used to optimize performance Preferred Qualifications: Familiarity with tools such as LangChain, vector databases, and prompt engineering techniques Knowledge of data engineering tools (Spark, Kafka, Databricks, Snowflake) AI/ML certifications or cloud certifications (e.g., AWS Certified Machine Learning, Azure AI Engineer) Experience with Legacy Systems and Architectures including SaaS Additional Information We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous time off, health coverage, disability insurance, paid family leave and more, we’ve launched extended benefits to help meet our employees’ needs. • CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs., • Learning & Development – Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths, • Modern Health –A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life’s ups and downs, • Carrot Fertility –Inclusive fertility and family-forming coverage for all paths to parenthood – including adoption, surrogacy, fertility treatments, pregnancy, and more – and opportunities for employer-sponsored funds to help pay for care, • Fringe –A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them – ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more, • Employee Resource Groups – Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations, • Philanthropic Partnerships – Opportunities to engage in partnerships and pro-bono projects that support our communities., • 401(k) Matching – Generous matching and no vesting period to help you continue to build financial wellness CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs. CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness — each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment. At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship. CapTech supports Equal Pay for all. In addition, in the State of Virginia, we are committed to Equal Pay for ALL in accordance with the Virginia Transparency Law. Compensation for this role will be commensurate with the candidate’s skills, total relevant experience, job level, and geographic location. The base pay range for this role is: $140,000-$200,000. #LI- JB1 #LI- Onsite

Job DescriptionCompany Description CapTech is an award-winning consulting firm that collaborates with clients to achieve what’s possible through the power of technology. At CapTech, we’re passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country. Job Description CapTech Data Engineering consultants enable clients to build and maintain advanced data systems that bring together data from disparate sources in order to enable decision-makers. We build pipelines and prepare data for use by data scientists, data analysts, and other data systems. We love solving problems and providing creative solutions for our clients. Cloud Data Engineers leverage the client’s cloud infrastructure to deliver this value today and to scale for the future. We enjoy a collaborative environment and have many opportunities to learn from and share knowledge with other developers, architects, and our clients. The Value You Deliver (or What You’ll Do) • Be trusted advisor to customers with best practices, methodologies, and technologies to implement data engineering solutions., • Design, implement, and maintain modern data pipelines to deliver optimal solutions utilizing appropriate cloud technologies., • Partner with product owners and business SMEs to analyze customer requirements and provide a supportable and sustainable engineered solution., • Provide technical leadership and collaborate within and across teams to ensure that the overall technical solution is aligned with the customer needs., • Stay current with the latest cloud technologies, patterns, and methodologies; share knowledge by clearly articulating results and ideas to key stakeholders. Qualifications, • Experience building/operating highly available distributed systems of data extraction, ingestion, and processing large data sets, • 5+ years of experience delivering data engineering solutions on cloud platform, • 5+ years of experience implementing modern designs using at least one cloud-based solution/platform (AWS, Azure, GCP), • Advanced level proficiency with at least one ETL / Data Orchestration technology (Azure Data Factory, SSIS, Informatica, Alteryx, Ab Initio, Pentaho, Talend, Matillion), • Experience cloud-based data warehousing and data lake solutions like Snowflake, Redshift, Databricks, • 5+ years of experience with SQL or NoSQL database (PostgreSQL, MySQL, SQL server, Oracle, Aurora, Presto, BigQuery), • Expertise with SQL, database design/structure and data structure (star, snowflake schemas, de/normalized designs), • 5+ years of experience with at least one programming language (Python, Java, R, C / C# / C++, Shell), • Familiarity with one or more DevOps tools (git, Jenkins, CI/CD, Jira), • Fundamental understanding of big data, open source, and data streaming concepts, • Ability to think strategically and provide recommendations utilizing traditional and modern architectural components based on business needs, • Experience providing technical leadership and mentoring other engineers in data engineering space, • Cloud certification on any platform a plus Additional Information We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we’ve launched extended benefits to help meet our employees’ needs. • CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs., • Learning & Development – Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths, • Modern Health –A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life’s ups and downs, • Carrot Fertility –Inclusive fertility and family-forming coverage for all paths to parenthood – including adoption, surrogacy, fertility treatments, pregnancy, and more – and opportunities for employer-sponsored funds to help pay for care, • Fringe –A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them – ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more, • Employee Resource Groups – Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations, • Philanthropic Partnerships – Opportunities to engage in partnerships and pro-bono projects that support our communities., • 401(k) Matching – Generous matching and no vesting period to help you continue to build financial wellness CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness — each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE. As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email lmassa@captechconsulting.com. CapTech supports Equal Pay for all. In addition, in the State of Virginia, we are committed to Equal Pay for ALL in accordance with the Virginia Transparency Law. Compensation for this role will be commensurate with the candidate’s skills, total relevant experience, job level, and geographic location. The base pay range for this role is: $90,000 - $200,000. At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship. #LI-LM1

Job Description Are you a software developer with a passion for coding, collaboration, and mentorship? Join Kinsale Insurance, a fast-growing and successful excess and surplus (E&S) lines carrier headquartered in Richmond, VA. We foster a highly collaborative technology environment where developers work side by side with product teams and business stakeholders in a dynamic, Agile setting where your contributions matter from day one. We're hiring across experience levels — from developers looking to deepen their architectural thinking to seasoned engineers ready to lead by example and influence architecture decisions. About the Role As a Software Developer / Senior Software Developer, you'll join one of our cross-functional Agile teams and contribute to the full lifecycle of enterprise applications, from design to deployment. You'll leverage generative AI tools (e.g., GitHub Copilot, ChatGPT, Claude Code) in day-to-day development to accelerate coding, automate repetitive tasks, and improve code quality and productivity — and, depending on experience, help shape the vision and roadmap for your team's software solutions. What You'll Do • Deliver high-quality, scalable code and solutions aligned with business needs and team objectives., • Contribute to — or lead — the architecture and design of maintainable, enterprise-grade applications, aligning them with IT and business strategies., • Research, evaluate, and recommend technologies and approaches to solve complex or evolving business challenges., • Champion best practices in coding, testing, security, and Agile methodologies across the team., • Identify opportunities to streamline code, reduce duplication, and improve system efficiency., • Manage upstream and downstream dependencies across systems, teams, and environments to protect delivery timelines., • Break down complex business and technical problems into well-defined components that support parallel development and incremental delivery., • Collaborate closely with developers, product owners, and business stakeholders throughout the development lifecycle., • Incorporate feedback from code reviews and design discussions to continuously grow technical depth and system understanding., • Actively participate in Agile ceremonies, supporting continuous improvement, collaboration, and excellence.What You Bring Required: • Bachelor's degree in Computer Science, Information Technology, or a related field — or bootcamp certification — preferred., • Experience with Java (Spring, Spring Boot, Spring JPA, Docker, REST, SOAP, Hibernate) and Angular (v17+)., • Exposure to full-stack or enterprise applications with proficient knowledge in one or more areas., • A curiosity for staying current on the latest trends and technologies, with an eye for practical opportunities to use them., • Familiarity with technologies such as Java (Spring, Spring Boot, JPA, Docker, REST, SOAP, Hibernate), AWS SQS, AWS EKS, Python, Angular, Node.js, SQL, JSON, Kong, Confluent Kafka, and cloud technologies (preferably AWS) is a plus., • Experience with tools such as SonarCloud, Git, GitLab, Maven, Visual Studio Code, and IntelliJ, plus CI/CD practices, is a plus., • Familiarity with Agile software development practices and cross-functional team collaboration., • Experience using AI coding assistants and LLMs (e.g., GitHub Copilot, ChatGPT, Claude Code) to enhance development and automation. Expected for senior level candidates: • 3+ years of experience as a full-stack developer, with a strong foundation in enterprise application development., • 2+ years of hands-on experience with AWS; AWS Certified Developer certification is a plus., • Strong experience with Java, including Spring, Spring Boot, Spring JPA, Docker, REST, SOAP, and Hibernate., • Proficiency leveraging AI coding assistants (e.g., GitHub Copilot, Claude Code) and Large Language Models to optimize engineering workflows., • Solid understanding of RAG systems and autonomous agent-based architectures using proprietary or open-source AI models., • Preferred: Experience with event-driven architecture, serverless technologies, AngularJS/Angular, Node.js, SQL, SQS, Confluent Kafka, Kong, and DevOps tools such as Git, GitLab, Maven, and SonarCloud.Why You'll Love Working at Kinsale, • Competitive Pay & Bonus Opportunities – Rewarding performance, initiative, and technical excellence., • Comprehensive Benefits – Health, dental, and vision insurance with up to $3,600 (individual) or $7,000 (family) in HSA contributions per year., • Work-Life Balance – Generous paid time off including 22 days of PTO and 10 paid company holidays., • Career Growth – Clear promotion paths, mentorship, and ongoing professional development opportunities., • Retirement & Security – Up to 6% matching 401(k) contributions on base salary and bonus, plus standard life insurance and disability coverage., • Continuous Learning – Annual $3,000 reimbursement for educational training, conferences, and certifications.Integrity & Responsibility Kinsale values strong financial responsibility. A credit check will be conducted as part of the selection process for roles that require sound judgment, trustworthiness, or access to sensitive information. Ready to Apply? If you're a motivated, collaborative engineer who thrives on innovation and building solutions that make a real difference, this is your opportunity. Join Kinsale Insurance and grow your career in a company that rewards excellence, initiative, and continuous learning — whether you're deepening your craft or ready to lead. Apply today and start building your future with us! Salary RangeSoftware Developer: $105,000 – $117,000Senior Software Developer: $120,000 – $150,000This posted range is our best estimate; starting salary will be based on experience level. Additionally, the posted range reflects only base salary and does not include annual bonuses, benefits, or reimbursements.

At Genworth, we empower families to navigate the aging journey with confidence. We are compassionate, experienced allies for those navigating care with guidance, products, and services that meet families where they are. Further, we are the spouses, children, siblings, friends, and neighbors of those that need care—and we bring those experiences with us to work in serving our millions of policyholders each day. We apply that same compassion and empathy as we work with each other and our local communities. Genworth values all perspectives, characteristics, and experiences so that employees can bring their full, authentic selves to work to help each other and our company succeed. We celebrate our diversity and understand that being intentional about inclusion is the only way to create a sense of belonging for all associates. We also invest in the vitality of our local communities through grants from the Genworth Foundation, event sponsorships, and employee volunteerism. Our four values guide our strategy, our decisions, and our interactions: • Make it human. We care about the people that make up our customers, colleagues, and communities., • Make it about others. We do what’s best for our customers and collaborate to drive progress., • Make it happen. We work with intention toward a common purpose and forge ways forward together., • Make it better. We create fulfilling purpose-driven careers by learning from the world and each other Position Title: Senior Security Engineer, Application Position location: Richmond, Va., Lynchburg, Va. This position is available to Virginia residents as Richmond or Lynchburg, Virginia in-office applicants *A Hybrid schedule of both Remote and In-Office days is required. In office days are Tuesday, Wednesday and Thursday with working hours targeting our core business hours of 9am-5pm EST. Your role: As an Senior Security Engineer, Application you will manage the technologies and processes supporting secure application development in both physical datacenter and cloud environments. You will be responsible for providing application security services and support to internal partners to ensure adherence to the policies and standards of the company. As an ideal candidate you will have 5+ years of experience in a Security Engineering role with proven experience in Application Security, DevSecOps, and experience securing applications in cloud environments. What you will be doing: • Manage and support application vulnerability scanning technologies, AST platforms, and cloud security tooling., • Collaborate with business stakeholders to design secure applications, test applications for security weakness, and partner on remediation of identified issues., • Work with key stakeholders to identify, respond to, and remediate information security issues., • Coordinate the orchestration, automation, and management of security technologies and platforms., • Support day-to-day life cycle management, including identification, threat assessment, threat modeling and risk avoidance., • Create reasonable and actionable reports showing direct impact to the security posture., • Define and implement meaningful metrics to measure the effectiveness of security controls through Key Risk Indicators (KRIs) and security scorecards., • Serve as a subject-matter-expert for Application Security; act as a key point of contact for critical issues, security risk assessments and triaging CI/CD issues with partners and stakeholders., • Evaluate business and technical requirements to identify and implement tools, processes, and technologies to improve our security posture in our environments., • Ensure the continuous improvement of existing compliance processes. What you bring: • Computer Science or similar degree, • Experience using vulnerability scanning technologies, AST platforms, and cloud security tooling., • Formal experience with threat modeling., • Experience leading projects, initiatives, and resources through direct and indirect leadership., • Deep knowledge of Assessing and prioritization of Risk with an ability to think like a bad actor and use that context to conduct threat models., • Cloud experience (AWS, Azure, GCP), • Infrastructure as Code (IaaC) and Policy as Code (PaC) Concepts., • Experience implementing secure Software Development Lifecycle programs., • Familiarity with technical security controls, guidelines, and frameworks outlined by standards such as SOC2, ISO 27001, NIST 800-53., • Ability to automate tasks and code solutions to repetitive problems., • Scripting or programming experience (Java, .NET, HTML, Ruby, PHP, Perl, C#, Python, JavaScript, PowerShell, Bash), • Experience with penetration testing and web application assessment., • Experience assessing software compliance with HIPAA, PHI, PII and PCI regulations. Employee Benefits & Well-Being Genworth employees make a difference in people’s lives every day. We’re committed to making a difference in our employees’ lives. • Competitive Compensation & Total Rewards Incentives, • Comprehensive Healthcare Coverage, • Multiple 401(k) Savings Plan Options, • Auto Enrollment in Employer-Directed Retirement Account Feature (100% employer-funded!), • Generous Paid Time Off – Including 12 Paid Holidays, Volunteer Time Off and Paid Family Leave, • Disability, Life, and Long Term Care Insurance, • Tuition Reimbursement, Student Loan Repayment and Training & Certification Support, • Wellness support including gym membership reimbursement and Employee Assistance Program resources (work/life support, financial & legal management) • Caregiver and Mental Health Support Services ADDITIONAL INFORMATION National Range: $96,700 - $145,000 Disclaimer: This role is aligned to a national market-based pay range. Actual compensation will vary based on geographic location, experience, skills, and other job-related factors. In addition to base salary, this role is eligible to participate in a bonus incentive plan. Incentive compensation is based on individual and company performance and is not guaranteed.

Lead AI Engineer\n \n \n\n\n \n \n \n \n \n \n \n \n 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. \n \n Team Description: \n 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. \n \n In this role, you will: \n \n • \n 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. \n • \n Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. \n • \n Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. \n • \n Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. \n \n \n The Ideal Candidate: \n \n • \n 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. \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. \n • \n 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. \n • \n You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. \n • \n You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. \n \n \n Basic Qualifications: \n \n • \n Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies \n • \n At least 4 years of experience programming with Python, Go, Scala, or Java \n \n \n Preferred Qualifications: \n \n • \n 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience designing, developing, delivering, and supporting AI services \n • \n Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang \n • \n Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n \n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n \n \n \n \n \n \n\n \n \n 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. \n McLean, VA: $197,300 - $225,100 for Lead AI Engineer\n \n New York, NY: $215,200 - $245,600 for Lead AI Engineer\n \n Richmond, VA: $179,400 - $204,700 for Lead AI Engineer\n \n San Jose, CA: $215,200 - $245,600 for Lead AI Engineer\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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 4901-4920; 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.\n \n \n 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 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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).

Job DescriptionDescription: As an AI/ML Engineer, you will play a key role in designing, building, and deploying AI-powered and machine learning solutions that help our clients solve complex problems and unlock new opportunities. You’ll collaborate with consultants, data engineers, and client stakeholders to bring advanced AI and ML capabilities into real-world applications — from prototypes and proof-of-concepts to enterprise-scale systems. Beyond technical execution, this role is about enabling client success, simplifying complexity, and helping teams work smarter with AI. Here's what you'll do: Prioritize Client Success • Collaborate with clients to understand business needs and translate them into AI/ML-driven solutions., • Build, fine-tune, and integrate AI/ML models (LLMs, NLP, computer vision, deep learning, traditional ML)., • Deliver applications that are reliable, intuitive, and built for long-term value. Get Comfortable Being Uncomfortable • Navigate emerging and rapidly changing AI/ML technologies and tools., • Adapt quickly, lead through change, and make confident decisions with limited information., • Push boundaries by recommending modern approaches and innovations in AI/ML. Peel Back the Onion • Ask the right questions to uncover root causes and deliver solutions that solve the real problem., • Dig into data pipelines, model architectures, optimization techniques, and workflows that drive better outcomes., • Explore new capabilities in deep learning frameworks, MLOps practices, and cloud platforms. Build to Last • Architect scalable, maintainable AI/ML solutions that go beyond one-off experiments., • Uphold security, data governance, and best practices in every deployment., • Monitor model performance, retrain when necessary, and implement CI/CD pipelines for continuous improvement., • Coach and guide other team members to elevate technical delivery and AI/ML literacy. Embrace Being Small & Mighty • Be scrappy, stay hungry. Move fast, experiment, and adapt., • Roll up your sleeves and get your hands dirty with coding, data processing, deployment, and optimization., • Push through challenges with grit and a growth mindset. Help Others Be Great • Work collaboratively across teams, combining diverse skills and perspectives to drive better outcomes., • Translate technical AI/ML concepts into clear insights for non-technical stakeholders., • Communicate complex data, models, and outcomes in a way that’s clear and actionable.Requirements:, • Proficiency in Python (required); Java, JavaScript, SQL/NoSQL, and data processing tools (NumPy, Pandas, PySpark). Understanding of C++, R, Julia, Scala a plus., • Proven experience building and deploying LLM applications, developing agentic workflows, and applying advanced prompting and fine-tuning strategies., • Knowledge of ETL/ELT pipelines, familiarity with big data frameworks, data pipeline tools, SQL/NoSQL, • Hands-on experience with model development, training, deployment, and maintenance. Experinece with Scikit-learn, TensorFlow, PyTorch, XGBoost, Hugging Face, and modern architectures (CNNs, RNNs, Transformers)., • Experience with CI/CD pipelines, experiment tracking, model monitoring, versioning, and building scalable ETL/data pipelines., • Experience with AWS, Azure, GCP cloud infrastructures. Containerization and Automation (Docker, Kubernetes, Jenkins, GitHub Actions)., • Solid foundations in linear algebra, calculus, probability/statistics; familiarity with responsible AI practices, ethics, bias, and governance a plus., • Excellent communication skills to engage both technical and non-technical stakeholders, with a collaborative, problem-solving mindset.

Job Description About UZURV At UZURV, we believe that everyone has the right to get to the places they need and want to go, including work, school, shopping, connecting with friends and family, attending worship services, or just a night out. Many people are able to drive, take public transit, or use a rideshare or taxicab, but about 25% of Americans (and especially older adults and people with disabilities) need assistance for getting out and about. We call it assisted mobility, and that’s what UZURV exists to deliver. UZURV is a high-growth company that utilizes a technology platform to connect drivers, operating their own vehicles and providers operating wheelchair-accessible vehicles, with older adults and people with disabilities who need assisted mobility in order to get out and about within their communities. Since our founding in Richmond, VA, in 2017, we have grown into a leading national assisted mobility provider by partnering with public transit agencies. Today, we are operating in more than thirty communities across eighteen states and the District of Columbia, and in half of the twenty largest transit agencies in the country. Better still, we are helping meet the transportation needs of millions of riders each year. And it’s not by accident. UZURV has grown, because of the quality of our service. Riders, drivers, and employees give us high marks for our organizational culture, and for the quality and timeliness of our service. Additionally, our state-of-the-art technology enables us to provide an exceptional product at a cost significantly lower than the costs that our clients typically pay for the types of transportation services that we provide. A little bit about the role… As Test Automation Engineer, you will be designing, developing, and maintaining automated testing solutions that ensure the quality, reliability, and performance of our software applications. The ideal candidate has experience building scalable test automation frameworks, integrating automated testing into CI/CD pipelines, and collaborating closely with software developers, product managers, and QA teams to deliver high-quality software. To be successful at UZURV, you will: Design, develop, and maintain automated test frameworks for web, mobile, and backend applications. You will work as part of an engineering team delivering high value features for the business. Test Automation Development • Create automated functional, regression, integration, and end-to-end test suites., • Develop reusable, maintainable, and scalable test automation code following industry best practices. Quality Assurance • Analyze business and technical requirements to develop comprehensive test strategies and test cases., • Identify, document, and track software defects using JIRA., • Perform root cause analysis for test failures and work closely with developers to resolve issues. CI/CD Integration • Integrate automated tests into Continuous Integration and Continuous Delivery (CI/CD) pipelines., • Ensure automated tests execute efficiently within deployment workflows., • Monitor test execution results and improve pipeline stability. Collaboration • Partner with software engineers, product owners, and DevOps teams throughout the software development lifecycle., • Participate in sprint planning, design reviews, and retrospectives., • Advocate for quality-first development practices and shift-left testing. Performance & Continuous Improvement • Evaluate and implement new testing tools and technologies., • Improve automation coverage and reduce manual testing effort. We’re Excited About You Because You Have… • Bachelor's degree in Computer Science, Information Technology, Engineering, or related field (or equivalent experience)., • 3+ years of experience in software quality assurance and test automation., • Strong programming skills in one or more languages such as Java., • Experience with automation frameworks such as Selenium WebDriver., • Experience testing RESTful APIs using tools such as Postman., • Familiarity with source control systems such as Git., • Experience with CI/CD platforms., • Understanding of Agile/Scrum software development methodologies., • Ability to work in an Agile/Scrum environment. Reasons it pays to work at UZURV (in addition to the pay itself)... UZURV employees understand we are building a company that is greatly needed to improve access to mobility for all of us, regardless of our disabilities, illnesses, or impacts of age. We get daily affirmation from riders, drivers, and the transportation companies we work with about the innovation, value, and quality inherent in what we bring to market. In addition to providing our employees with a safe and collaborative environment UZURV also offers: • 401K matching, • Healthcare benefits package, • Generous PTO and paid holidays, • Collaborative team-based work environment Come As You Are Don’t meet every single requirement? Studies have shown that women, people with disabilities, and people of color are less likely to apply to jobs unless they meet every. single. qualification. At UZURV, we are dedicated to building a diverse, inclusive, and just workplace. If you’re excited about this role but your experience doesn’t align perfectly with 100% of the qualifications listed, we encourage you to still apply. Our hiring philosophy looks to weed people into our process, not out. We are also committed to making our hiring process accessible and inclusive for all candidates. Throughout the interview process, we provide transparency into what to expect and include options to request accommodations. Interview invitations include details on how to request support such as captions, advance materials, or other accessibility needs. If you require accommodations at any stage of the process, we encourage you to reach out—we’re happy to support you in a way that allows you to show up at your best.

Senior Distinguished Engineer, AI Compute (Remote Eligible)\n \n \n 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. \n \n Team Description: \n \n The Capital One machine learning platform organization manages our cloud-based enterprise AI+ML system delivering the high-scale developer and runtime environments required to build, orchestrate, and deploy compute and data intensive AI systems across real-time and batch workloads. We are seeking a Senior Distinguished Engineer, a hands-on technical leader passionate about distributed systems, to engineer and scale foundational compute capabilities for our platform. \n \n You will use your experience in building large scale, highly available and high performance systems to develop our common compute infrastructure on top of CPU and GPU substrates. Your contributions will power everything from developer notebooks to ML / DL model training, model inference and feature generation pipelines to pre-training and fine tuning Transformer-based models as well as generative AI inference and agentic applications. Your depth of expertise in technologies including Golang and Python programming languages, popular distributed compute frameworks including Spark / Dask / Ray / Flink, container (e.g., Kubernetes) and serverless (e.g., AWS Lambda) runtime environments, and ML+AI workload patterns will provide an amplifying technical element that is paramount to our team's success. \n \n In this role, you will : \n\n • \n Architect and build control and data plane implementations required to realize a highly available, multi-tenant, large scale and a secure machine learning platform \n • \n Develop Ray and Spark distributed compute engine solutions to accelerate diverse workloads from LLM pre-training and reinforcement learning to large-scale data processing, while maximizing compute unit economics \n • \n Engineer systemic improvements for operational excellence including automating KTLO (Keep The Lights On) workflows \n • \n Direct the technical execution of a diverse project portfolio, collaborating with developers specializing in everything ranging from distributed microservices to running large foundation models \n • \n Work cross-functionally with product and program management disciplines, and stakeholder and partners across Capital One to help optimize business outcomes while driving towards strong technology solutions \n • \n Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and leading system design and code review sessions \n • \n Help elevate the Capital One Distinguished Engineering community and establish yourself as a go-to resource on given technologies and technology-enabled capabilities \n • \n Lead the way in creating next-generation talent, mentoring internal talent and actively recruiting external talent to bolster the Capital One tech talent pool \n\n Capital One is open to hiring a Remote Employee for this opportunity \n \n Basic Qualifications: \n\n • \n Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies \n • \n At least 10 years of experience programming with Python, Go, Scala, or Java \n\n \n Preferred Qualifications : \n\n • \n Master’s Degree in Computer Science or a Master’s Degree in Software Engineering \n • \n Hands on experience in the internals of Ray (Actors/GCS/Scheduling) or Spark (Query Optimizer/Memory Management) \n • \n Experience building platforms that support LLM training, fine-tuning, or high-throughput inference \n • \n Hands-on experience with AWS-specific compute primitives (EKS, EC2 UltraClusters, Graviton) and cost-optimization strategies \n • \n History of upstream contributions to major distributed systems projects \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n \n 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. \n Remote (Regardless of Location): $286,200 - $326,700 for Sr. Distinguished AI Engineer\n \n Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer\n \n McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer\n \n New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer\n \n Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer\n \n San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer\n \n San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer\n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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 4901-4920; 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.\n \n \n 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 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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).

Lead Machine Learning Engineer (Manager IC)\n \n \n At Capital One, we are changing banking for good by creating responsible and reliable AI-powered systems. 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. \n \n At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine exceptional products for our customers. \n \n In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our customers, our business, or our communities. \n \n In this role at Risk Tech, you will work with our GRC team and partners across the company to build and deploy proprietary solutions for Risk management that are powered by state-of-the-art AI technology. Our products, enhanced with the transformative power of AI, are central to our business and deliver tremendous customer value. \n \n What You’ll Do: \n 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: \n\n • \n Partner with a cross-functional team of engineers, data scientists, product managers, and designers to deliver AI-powered products that change how our associates work and provide value to our customers. \n • \n Design, develop, test, deploy, and support AI software components utilizing machine learning models, including model evaluation and experimentation, large language model inference, similarity search, guardrails, governance, observability and agentic AI. \n • \n Fine-tune, develop and evaluate machine learning and foundation models, \n • \n Collaborate as part of a cross-functional Agile team to create and enhance software that utilizes state-of-the-art AI and ML capabilities \n • \n Contribute thought leadership and technical vision to the long term roadmap of pioneering AI systems at Capital One. \n • \n Leverage a broad stack of Open Source and SaaS AI technologies. \n • \n Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues. \n • \n Retrain, maintain, and monitor models in production. \n • \n Construct optimized data pipelines to feed ML models. \n • \n Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. \n\n \n The Ideal Candidate: \n\n • \n 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. \n • \n You are a passionate communicator, comfortable with explaining complex technical concepts to non-technical partners across the business, sometimes in front of large audiences. \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. \n • \n 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. \n • \n You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. \n • \n You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously applying novel techniques in production \n\n \n Strategic & Business-Oriented: think beyond the technology, deeply understanding business needs and how AI can solve them. You don't just build; you strategize and prioritize work that delivers the greatest business value. \n \n Highly Collaborative & Transparent: You are a natural partner, working seamlessly across engineering, product, and data science teams. You communicate your progress, blockers, and decisions clearly and proactively, ensuring everyone is aligned. You love sharing knowledge and insights and are committed to the success of the entire team. \n \n Technically Mature & Humble: You possess a strong foundation in engineering and mathematics. You are a resilient problem-solver who can bring clarity to complex, undefined problems and articulate your findings concisely. You demonstrate professional maturity by committing to and executing on team decisions. \n \n Flexible & Fungible: You are eager to roll up your sleeves and contribute wherever the team needs you most. You are comfortable working across different aspects of the tech stack and adapting to evolving priorities. \n \n A Lifelong Learner: You love staying current with the latest AI research and can apply novel techniques to production systems judiciously, always with a focus on business impact. \n \n Basic Qualifications: \n\n • \n Bachelor’s Degree \n • \n At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) \n • \n At least 4 years of experience programming with Python, Scala, or Java \n • \n At least 2 years of experience building, scaling, and optimizing ML systems \n\n \n Preferred Qualifications: \n\n • \n Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field \n • \n 7+ years of experience designing, developing, delivering, and supporting AI services at scale \n • \n 3+ years of experience building production-ready data pipelines that feed ML models \n • \n 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow \n • \n 3+ years of experience developing AI and ML algorithms or technologies using Python \n • \n 2+ years of experience with Retrieval Augmented Generation (RAG) \n • \n 2+ years of experience with data gathering and preparation for ML models \n • \n 2+ years of people leader experience \n • \n 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation \n • \n Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance \n • \n Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion \n • \n Experience deploying scalable AI/ML solutions in a public cloud such as AWS Bedrock, Google Cloud, Azure \n • \n Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance \n\n \n At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). \n \n \n \n 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. \n Cambridge, MA: $197,300 - $225,100 for Lead Machine Learning Engineer\n \n McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer\n \n Richmond, VA: $179,400 - $204,700 for Lead Machine Learning Engineer\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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 4901-4920; 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.\n \n \n 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 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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).

Lead Machine Learning Engineer\n \n At Capital One, we are changing banking for good by creating responsible and reliable AI-powered systems. 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 exceptional products for our customers.\n In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our customers, our business, or our communities. \n In this role at Risk Tech, you will work with our GRC team and partners across the company to build and deploy proprietary solutions for Risk management that are powered by state-of-the-art AI technology. Our products, enhanced with the transformative power of AI, are central to our business and deliver tremendous customer value. \n \n \n What You’ll Do: \n 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: \n\n • \n Partner with a cross-functional team of engineers, data scientists, product managers, and designers to deliver AI-powered products that change how our associates work and provide value to our customers. \n • \n Design, develop, test, deploy, and support AI software components utilizing machine learning models, including model evaluation and experimentation, large language model inference, similarity search, guardrails, governance, observability and agentic AI. \n • \n Fine-tune, develop and evaluate machine learning and foundation models, \n • \n Collaborate as part of a cross-functional Agile team to create and enhance software that utilizes state-of-the-art AI and ML capabilities \n • \n Contribute thought leadership and technical vision to the long term roadmap of pioneering AI systems at Capital One. \n • \n Leverage a broad stack of Open Source and SaaS AI technologies. \n • \n Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues. \n • \n Retrain, maintain, and monitor models in production. \n • \n Construct optimized data pipelines to feed ML models. \n • \n Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. \n\n The Ideal Candidate: \n\n • \n 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. \n • \n You are a passionate communicator, comfortable with explaining complex technical concepts to non-technical partners across the business, sometimes in front of large audiences. \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. \n • \n 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. \n • \n You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. \n • \n You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously applying novel techniques in production \n\n Strategic & Business-Oriented: You think beyond the technology, deeply understanding business needs and how AI can solve them. You don't just build; you strategize and prioritize work that delivers the greatest business value. \n Highly Collaborative & Transparent: You are a natural partner, working seamlessly across engineering, product, and data science teams. You communicate your progress, blockers, and decisions clearly and proactively, ensuring everyone is aligned. You love sharing knowledge and insights and are committed to the success of the entire team. \n Technically Mature & Humble: You possess a strong foundation in engineering and mathematics. You are a resilient problem-solver who can bring clarity to complex, undefined problems and articulate your findings concisely. You demonstrate professional maturity by committing to and executing on team decisions. \n Flexible & Fungible: You are eager to roll up your sleeves and contribute wherever the team needs you most. You are comfortable working across different aspects of the tech stack and adapting to evolving priorities. \n A Lifelong Learner: You love staying current with the latest AI research and can apply novel techniques to production systems judiciously, always with a focus on business impact. \n \n \n Basic Qualifications: \n\n • \n Bachelor’s Degree \n • \n At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) \n • \n At least 4 years of experience programming with Python, Scala, or Java \n • \n At least 2 years of experience building, scaling, and optimizing ML systems \n\n \n Preferred Qualifications: \n\n • \n Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field \n • \n 7+ years of experience designing, developing, delivering, and supporting AI services at scale \n • \n 3+ years of experience building production-ready data pipelines that feed ML models \n • \n 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow \n • \n 3+ years of experience developing AI and ML algorithms or technologies using Python \n • \n 2+ years of experience with Retrieval Augmented Generation (RAG) \n • \n 2+ years of experience with data gathering and preparation for ML models \n • \n 2+ years of people leader experience \n • \n 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation \n • \n Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance \n • \n Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion \n • \n Experience deploying scalable AI/ML solutions in a public cloud such as AWS Bedrock, Google Cloud, Azure \n • \n Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance \n\n \n At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). \n \n 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. \n Cambridge, MA: $197,300 - $225,100 for Lead Machine Learning Engineer\n \n McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer\n \n Richmond, VA: $179,400 - $204,700 for Lead Machine Learning Engineer\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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 4901-4920; 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.\n \n \n 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 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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).

At Genworth, we empower families to navigate the aging journey with confidence. We are compassionate, experienced allies for those navigating care with guidance, products, and services that meet families where they are. Further, we are the spouses, children, siblings, friends, and neighbors of those that need care—and we bring those experiences with us to work in serving our millions of policyholders each day. We apply that same compassion and empathy as we work with each other and our local communities. Genworth values all perspectives, characteristics, and experiences so that employees can bring their full, authentic selves to work to help each other and our company succeed. We celebrate our diversity and understand that being intentional about inclusion is the only way to create a sense of belonging for all associates. We also invest in the vitality of our local communities through grants from the Genworth Foundation, event sponsorships, and employee volunteerism. Our four values guide our strategy, our decisions, and our interactions: • Make it human. We care about the people that make up our customers, colleagues, and communities., • Make it about others. We do what’s best for our customers and collaborate to drive progress., • Make it happen. We work with intention toward a common purpose and forge ways forward together., • Make it better. We create fulfilling purpose-driven careers by learning from the world and each other. POSITION TITLE Senior Software Engineer, Java NOTE: This role is not open to visa sponsorship. POSITION LOCATION Lynchburg VA/Richmond VA *Hybrid in-office would be required if you reside within 50 miles of our Richmond or Lynchburg, VA office. Required in-office days are Tuesdays, Wednesdays and Thursdays. YOUR ROLE In your role as an Senior Software Engineer, Java you will support Genworth’s top strategic priorities. The person selected will work with the QUEST quoting application. There is a dual focus to this role. 15-25% of the time will be working as an Intent Manager, coordinating work of the QUEST Kanban team with other SCRUM Teams. Most of your time will be spent working on important Business Solutions with other SCRUM teams. You will work closely with these teams to define requirements and deliver enhancements, performance improvements, and new interfaces. You will become familiar with Long Term Care products, business principles and implementation details. QUEST is a home-grown JAVA based Long Term Care quoting system that uses various tools but not limited to Java + Java tools (JDK), Oracle, JBoss, Apache Web Server, Spring, JSON, API’s and Eclipse. The ideal candidate will have the opportunity to help to modernize this application and dive into multiple technologies and business areas to drive business solutions but will be primarily focused on supporting the existing application. What you will be doing • Act as the Intent Manager for the QUEST Kanban team, planning and prioritizing upcoming work requests from other SCRUM teams and business partners., • Analyze changes needed by QUEST to provide the business solutions needed by the SCRUM teams., • Design, Code, Document and Test solutions that fit the overall technical architecture while ensuring it meets the acceptance criteria while avoiding unintended impact and risks., • Understand and follow software development lifecycle and support your changes through the testing process and assist with test planning., • Support defect resolution and technical system activities as well as system health., • Understand and follow change control process to implement the solutions., • Perform administrative duties in conjunction with the departmental requirements (participate in meetings, Agile ceremonies (SCRUM Stand Ups, Sprint Reviews etc.), respond to correspondence in a timely manner, provide status updates, review/update/submit tickets, and participate in change management activities). What you bring Your Qualifications: • 4-year college degree or relevant equivalent experience with strong JAVA programming skills and production support experience preferably in insurance/finance domain., • 6+ years professional experience in technology or insurance, • 6+ years of application development experience with Java + Java tools (JDK), Oracle, JBoss, Apache Web Server, Spring, JSON, API's, • 3+ years of experience coordinating deliveries from junior developers, communicating with stakeholders and assisting with prioritization and sequencing of deliverables, • Excellent analytical skills and a detail-oriented mindset, with ability to understand complex business logic, analyze the system and data, to identify changes needed, and understand impact of changes on the various products and system functionalities., • Experience working in a cross-functional team environment on complex systems and having good problem-solving skills and a results-oriented outlook., • Good communication skills ability to work with various stakeholders, managing concurrent deadlines and multiple priorities., • A continuous improvement mindset, and willingness to adapt to new technologies and ways of working Additional Qualifications: • Practical knowledge of LTC insurance products and premiums a plus, • Knowledge of additional Java frameworks including Spring boot and React, • Experience working in an Agile environment (Scrum or Kanban), • Cloud and Cloud migration experience. Employee Benefits & Well-Being Genworth employees make a difference in people’s lives every day. We’re committed to making a difference in our employees’ lives. • Competitive Compensation & Total Rewards Incentives, • Comprehensive Healthcare Coverage, • Multiple 401(k) Savings Plan Options, • Auto Enrollment in Employer-Directed Retirement Account Feature (100% employer-funded!), • Generous Paid Time Off – Including 12 Paid Holidays, Volunteer Time Off and Paid Family Leave, • Disability, Life, and Long Term Care Insurance, • Tuition Reimbursement, Student Loan Repayment and Training & Certification Support, • Wellness support including gym membership reimbursement and Employee Assistance Program resources (work/life support, financial & legal management), • Caregiver and Mental Health Support Services ADDITIONAL INFORMATION National Range: $96,700 - $145,000 Disclaimer: This role will be located in Richmond, VA or New York City. Actual compensation will vary based on geographic location, experience, skills, and other job-related factors. In addition to base salary, this role is eligible to participate in a bonus incentive plan. Incentive compensation is based on individual and company performance and is not guaranteed.

At Genworth, we empower families to navigate the aging journey with confidence. We are compassionate, experienced allies for those navigating care with guidance, products, and services that meet families where they are. Further, we are the spouses, children, siblings, friends, and neighbors of those that need care—and we bring those experiences with us to work in serving our millions of policyholders each day. We apply that same compassion and empathy as we work with each other and our local communities. Genworth values all perspectives, characteristics, and experiences so that employees can bring their full, authentic selves to work to help each other and our company succeed. We celebrate our diversity and understand that being intentional about inclusion is the only way to create a sense of belonging for all associates. We also invest in the vitality of our local communities through grants from the Genworth Foundation, event sponsorships, and employee volunteerism. Our four values guide our strategy, our decisions, and our interactions: • Make it human. We care about the people that make up our customers, colleagues, and communities., • Make it about others. We do what’s best for our customers and collaborate to drive progress., • Make it happen. We work with intention toward a common purpose and forge ways forward together., • Make it better. We create fulfilling purpose-driven careers by learning from the world and each other. SENIOR SOFTWARE ENGINEER This role is not eligible for Sponsorship. POSITION LOCATION Richmond, Virginia Open to Remote This position is available to Virginia residents as Richmond or Lynchburg, VA hybrid in-office applicants or remote applicants residing in states/locations under Eastern or Central Standard Time: Alabama, Arkansas, Connecticut, Delaware, Florida, Georgia, Illinois, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Nebraska, New Hampshire, New Jersey, New York, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, Vermont, Virginia, Washington DC, West Virginia or Wisconsin. *Hybrid in-office would be required if you reside within 50 miles of our Richmond or Lynchburg, VA office. Required in-office days are Tuesdays, Wednesdays and Thursdays. YOUR ROLE As an IT team member, you’ll play a crucial role in designing, implementing, and managing technology solutions that are the foundation of the world class customer service that our customers expect and deserve – now and in the future. You will provides application software development services or technical support typically in a defined project. Develop program logic for new applications or analyze and modify logic in existing applications. Codes, tests, debugs, documents, implements and maintains software applications. Analyze requirements, and maintains, tests and integrates application components. Ensure that system improvements are successfully implemented. What you will be doing • Translate business requirements into technical specifications and implementations, • Develop, maintain and release web related user interfaces and prepare systems design documentation by applying company, industry and governmental standards, • Create, develop and maintain systems designs by preparing design layouts, modifying existing designs and assisting in identifying design discrepancies using design tools, • Create navigation structures and information designs; construct prototypes, storyboards, and mockups to effectively communicate design to business analysts & Enterprise Architecture team to include developing a graphic design that effectively communicates the ideas being promoted by the requirements, • Perform user experience activities on projects as necessary, • Demonstrate technical leadership ability in AngularJS v1, HTML5, CSS3, and Communication with RESTful web services from JavaScript, • Perform code reviews and collaborate with peer designers / developers on project work, • Provide limited system support and maintenance for the existing systems in the Application Development Services area, • Guide and lead offshore development on projects as needed What you bring • Bachelor's degree or equivalent, preferred advance degree in relevant discipline, • 8 to 10 years of experience in the Information Technology (IT) discipline, • 5+ years of full systems development lifecycle experience building custom web applications using JavaScript, HTML, • 5+ years of technical experience in working with Java, Experience with OpenText Exstream, MySQL, • 5 to 7 years of experience defining and documenting business and technical requirements, developing and testing software for corporations (financial/insurance sector preferred), • Must have experience in working with internal resources and be flexible to utilize an offshore delivery center operating in a time zone different from the primary work location, • Must have experience directing and supervising third-party suppliers in the fulfillment of Projects or application support, • Must have experience with establishing operational and process controls to measure and verify that established processes, procedures and audit controls are followed, • Experience required in monitoring and managing SLAs and exceeding customer expectations with large volumes of request, • Must have exceptional intellectual, professional, and interpersonal agility with strong analytical and problem-solving skills., • Progressive experience in information technology with emphasis in Software Development and Quality Assurance, • Knowledge and experience in software development methodologies (e.g., waterfall, agile, prototyping, rapid application development NICE TO HAVE • Proven ability to work across multiple functional teams in the creation of an application development and support process, • Maintain an effective approach on problem solving, multi-tasking, coordinating and scheduling in accordance with the Project Plan to ensure visibility and predictability, • Monitor scope changes through the life of the software development cycle, • Resolve escalated technical issues, • Identify and interact with Business Relationship Management and Project Management Office to ensure their needs are being met by the project design, • Work with outside vendors on projects, establishing technical requirements and standards for outside product development, • Familiar with code management, defect management, ticket and project management tools, • Familiar with cloud technology, data management requirements, • Experience using open-source JavaScript libraries, • Strong process management & project management skills, • Ability to work collaboratively with all business functions and build strong business partnerships, • Demonstrated ability to solve complex issues, • Strong organizational skills, • Ability to interact professionally with customers and vendors, • Ability to be a strong advocate for process and technology improvement, • Passion for change and continual improvement and ability to effectively lead/drive change ADDITIONAL INFORMATION National Range: $96,700 - $145,000 Disclaimer: This role is aligned to a national market-based pay range. Actual compensation will vary based on geographic location, experience, skills, and other job-related factors. In addition to base salary, this role is eligible to participate in a bonus incentive plan. Incentive compensation is based on individual and company performance and is not guaranteed. Employee Benefits & Well-Being Genworth employees make a difference in people’s lives every day. We’re committed to making a difference in our employees’ lives. • Competitive Compensation & Total Rewards Incentives, • Comprehensive Healthcare Coverage, • Multiple 401(k) Savings Plan Options, • Auto Enrollment in Employer-Directed Retirement Account Feature (100% employer-funded!), • Generous Paid Time Off – Including 12 Paid Holidays, Volunteer Time Off and Paid Family Leave, • Disability, Life, and Long Term Care Insurance, • Tuition Reimbursement, Student Loan Repayment and Training & Certification Support, • Wellness support including gym membership reimbursement and Employee Assistance Program resources (work/life support, financial & legal management), • Caregiver and Mental Health Support Services

Capital One is seeking a Sr. Director of Software Engineering to lead multiple product-focused software teams and drive architecture, cloud deployments, and microservices initiatives. You will mentor engineers, collaborate with product managers, and guide best practices across Agile teams. This senior leadership role requires a strong background in Java, Node.js, Go, and modern web/mobile technologies, with a focus on scalability, availability, and cutting‑edge tooling in a large enterprise. #J-18808-Ljbffr

As a Capital One Senior Director of Software Engineering, you'll work on everything from customer-facing web and mobile applications using cutting-edge open source frameworks, to highly-available RESTful microservices, to back-end Java based systems using the hottest techniques in Big Data. You'll bring solid experience in emerging and traditional technologies such as: node.js, Java, GO, AngularJS, React, Python, REST, JSON, XML, Ruby, Perl, NoSQL databases, relational databases, Hadoop, Chef, Maven, iOS, Android, and AWS/Cloud Infrastructure to name a few. • Lead, manage and grow multiple teams of product focused software engineers, • Mentor and guide the professional and technical development of engineers on your team., • Work with product managers to understand desired application capabilities and testing scenarios, • Continuously improve software engineering practices, • Work within and across Agile teams to design, develop, test, implement, and support technical solutions across a full-stack development tools and technologies, • Lead the craftsmanship, availability, resilience, and scalability of your solutions, • Bring a passion to stay on top of tech trends, experiment with and learn new technologies, participate in internal & external technology communities, and mentor other members of the engineering community, • Encourage innovation, implementation of cutting-edge technologies, inclusion, outside-of-the-box thinking, teamwork, self-organization, and diversity, • Work across to improve the velocity of your and other teams, • Lead efforts to deploy new and existing applications into AWS environments, • Break existing monolithic applications into micro service architectures and build new microservices, • Bachelor's Degree, • At least 9 years of experience in software engineering, • At least 7 years of experience in people management, • Master's Degree in Computer Science or a Master's Degree in Software Engineering, • 13+ years of experience in software engineering, • 8+ years of experience in Agile practices, • Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion 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. Richmond, VA: $286,200 - $326,700 for Sr. Dir, Software Engineering 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 4901-4920; 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 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. 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 Careers@capitalone.com 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). #J-18808-Ljbffr

As a Capital One Senior Director of Software Engineering, you'll work on everything from customer-facing web and mobile applications using cutting-edge open source frameworks, to highly-available RESTful microservices, to back-end Java based systems using the hottest techniques in Big Data. You'll bring solid experience in emerging and traditional technologies such as: node.js, Java, GO, AngularJS, React, Python, REST, JSON, XML, Ruby, Perl, NoSQL databases, relational databases, Hadoop, Chef, Maven, iOS, Android, and AWS/Cloud Infrastructure to name a few. • Lead, manage and grow multiple teams of product focused software engineers, • Mentor and guide the professional and technical development of engineers on your team., • Work with product managers to understand desired application capabilities and testing scenarios, • Continuously improve software engineering practices, • Work within and across Agile teams to design, develop, test, implement, and support technical solutions across a full-stack development tools and technologies, • Lead the craftsmanship, availability, resilience, and scalability of your solutions, • Bring a passion to stay on top of tech trends, experiment with and learn new technologies, participate in internal & external technology communities, and mentor other members of the engineering community, • Encourage innovation, implementation of cutting-edge technologies, inclusion, outside-of-the-box thinking, teamwork, self-organization, and diversity, • Work across to improve the velocity of your and other teams, • Lead efforts to deploy new and existing applications into AWS environments, • Break existing monolithic applications into micro service architectures and build new microservices, • Bachelor’s Degree, • At least 9 years of experience in software engineering, • At least 7 years of experience in people management, • Master’s Degree in Computer Science or a Master’s Degree in Software Engineering, • 13+ years of experience in software engineering, • 8+ years of experience in Agile practices, • Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. Richmond, VA: $286,200 - $326,700 for Sr. Dir, Software Engineering 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 4901-4920; 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. #J-18808-Ljbffr

As a Capital One Senior Director of Software Engineering, you'll work on everything from customer-facing web and mobile applications using cutting-edge open source frameworks, to highly‑available RESTful microservices, to back‑end Java‑based systems using the hottest techniques in Big Data. You'll bring solid experience in emerging and traditional technologies such as: node.js, Java, GO, AngularJS, React, Python, REST, JSON, XML, Ruby, Perl, NoSQL databases, relational databases, Hadoop, Chef, Maven, iOS, Android, and AWS/Cloud Infrastructure to name a few. You will: • Lead, manage and grow multiple teams of product focused software engineers, • Mentor and guide the professional and technical development of engineers on your team., • Work with product managers to understand desired application capabilities and testing scenarios, • Continuously improve software engineering practices, • Work within and across Agile teams to design, develop, test, implement, and support technical solutions across a full‑stack development tools and technologies, • Lead the craftsmanship, availability, resilience, and scalability of your solutions, • Bring a passion to stay on top of tech trends, experiment with and learn new technologies, participate in internal & external technology communities, and mentor other members of the engineering community, • Encourage innovation, implementation of cutting‑edge technologies, inclusion, outside‑of‑the‑box thinking, teamwork, self‑organization, and diversity, • Work across to improve the velocity of your and other teams, • Lead efforts to deploy new and existing applications into AWS environments, • Break existing monolithic applications into micro service architectures and build new microservices Basic Qualifications: • Bachelor’s Degree, • At least 9 years of experience in software engineering, • At least 7 years of experience in people management Preferred Qualifications: • Master’s Degree in Computer Science or a Master’s Degree in Software Engineering, • 13+ years of experience in software engineeringml>, • 8+ years of experience in Agile practices, • Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion 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. Richmond, VA: $286,200 - $326,700 for Sr. Dir, Software Engineering 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 4901-4920; 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. #J-18808-Ljbffr

Sr. Director Software EngineeringApplylocations: Richmond, VAtime type: Full timeposted on: Posted Todayjob requisition id: R248898Sr. Director Software EngineeringAs a Capital One Senior Director of Software Engineering, you'll work on everything from customer-facing web and mobile applications using cutting-edge open source frameworks, to highly-available RESTful microservices, to back-end Java based systems using the hottest techniques in Big Data. You'll bring solid experience in emerging and traditional technologies such as: node.js, Java, GO, AngularJS, React, Python, REST, JSON, XML, Ruby, Perl, NoSQL databases, relational databases, Hadoop, Chef, Maven, iOS, Android, and AWS/Cloud Infrastructure to name a few.You will: Lead, manage and grow multiple teams of product focused software engineers Mentor and guide the professional and technical development of engineers on your team. Work with product managers to understand desired application capabilities and testing scenarios Continuously improve software engineering practices Work within and across Agile teams to design, develop, test, implement, and support technical solutions across a full-stack development tools and technologies Lead the craftsmanship, availability, resilience, and scalability of your solutions Bring a passion to stay on top of tech trends, experiment with and learn new technologies, participate in internal & external technology communities, and mentor other members of the engineering community Encourage innovation, implementation of cutting-edge technologies, inclusion, outside-of-the-box thinking, teamwork, self-organization, and diversity Work across to improve the velocity of your and other teams Lead efforts to deploy new and existing applications into AWS environments* Break existing monolithic applications into micro service architectures and build new microservicesBasic Qualifications: Bachelor’s Degree At least 9 years of experience in software engineering* At least 7 years of experience in people managementPreferred Qualifications: Master’s Degree in Computer Science or a Master’s Degree in Software Engineering 13+ years of experience in software engineering 8+ years of experience in Agile practices Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion*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.Richmond, VA: $286,200 - $326,700 for Sr. Dir, Software EngineeringCandidates 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 4901-4920; 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 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. #J-18808-Ljbffr

Lead Machine Learning Engineer (IC)\n \n \n 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. \n \n What You’ll Do: \n 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: \n\n • \n Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams \n • \n Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) \n • \n Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment \n • \n Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications \n • \n Retrain, maintain, and monitor models in production \n • \n Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. \n • \n Construct optimized data pipelines to feed ML models \n • \n Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code \n • \n Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI \n • \n Use programming languages like Python, Scala, or Java \n\n \n Basic Qualifications: \n\n • \n Bachelor’s Degree \n • \n At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) \n • \n At least 4 years of experience programming with Python, Scala, or Java \n • \n At least 2 years of experience building, scaling, and optimizing ML systems \n\n \n Preferred Qualifications: \n\n • \n Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field \n • \n 3+ years of experience building production-ready data pipelines that feed ML models \n • \n 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow \n • \n 2+ years of experience developing performant, resilient, and maintainable code \n • \n 2+ years of experience with data gathering and preparation for ML models \n • \n 2+ years of people leader experience \n • \n 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation \n • \n Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform \n • \n Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance \n • \n ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents \n • \n Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion \n\n \n At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer). \n \n 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. \n Cambridge, MA: $197,300 - $225,100 for Lead Machine Learning Engineer\n \n McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer\n \n New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer\n \n Richmond, VA: $179,400 - $204,700 for Lead Machine Learning Engineer\n \n San Francisco, CA: $215,200 - $245,600 for Lead Machine Learning Engineer\n \n San Jose, CA: $215,200 - $245,600 for Lead Machine Learning Engineer\n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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 4901-4920; 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.\n \n \n 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 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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).

$60 - $120/hourpayPythonRustGoLangFull-stackJAVANode.jsAndroid DevelopmentiOS Developmentmicro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Job Title: Software Developer Job Type: Contract Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Key Responsibilities: • Design, implement, and maintain scalable back-end and full-stack applications using Python, Rust, GoLang, Java, or Node.js., • Collaborate closely with cross-functional team members to deliver high-quality software solutions that meet evolving business requirements., • Write clean, efficient, and well-documented code, following best software engineering practices., • Troubleshoot, debug, and optimize existing codebases to improve performance and reliability., • Participate in code reviews, technical discussions, and architectural planning to drive continuous improvement., • Contribute to the full software development lifecycle, from concept and design to testing and deployment., • Maintain clear, concise, and thoughtful written and verbal communication across distributed teams. Required Skills and Qualifications: • 3+ years of hands-on experience in software development with one or more of the following: Python, Rust, GoLang, Java, Node.js, Android, IOS or full-stack development (backend or full-stack)., • Proficiency in building scalable, reliable, and maintainable software systems., • Experience working in remote, collaborative, and agile environments., • Expertise in modern development tools, version control systems, and CI/CD pipelines., • Strong problem-solving skills with keen attention to detail., • Excellent written and verbal communication skills, with a high standard for clarity and professionalism., • Self-driven, proactive, and able to work independently in a distributed setting. Preferred Qualifications: • Experience with cloud platforms such as AWS, GCP, or Azure., • Knowledge of DevOps principles and containerization technologies., • Background in mentoring or leading small engineering teams.

Senior Lead Machine Learning Engineer\n \n \n 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. \n \n What you’ll do in the role: \n 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: \n\n • \n Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. \n • \n Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). \n • \n Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. \n • \n Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. \n • \n Retrain, maintain, and monitor models in production. \n • \n Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. \n • \n Construct optimized data pipelines to feed ML models. \n • \n Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. \n • \n Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. \n • \n Use programming languages like Python, Scala, or Java. \n\n \n Basic Qualifications: \n\n • \n Bachelor’s Degree \n • \n At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) \n • \n At least 4 years of experience programming with Python, Scala, or Java \n • \n At least 3 years of experience building, scaling, and optimizing ML systems \n • \n At least 2 years of experience leading teams developing ML solutions \n\n \n Preferred Qualifications: \n\n • \n Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field \n • \n Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform \n • \n 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow \n • \n 3+ years of experience developing performant, resilient, and maintainable code \n • \n 3+ years of experience with data gathering and preparation for ML models \n • \n 3+ years of people management experience \n • \n ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents \n • \n 3+ years of experience building production-ready data pipelines that feed ML models \n • \n Ability to communicate complex technical concepts clearly to a variety of audiences \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n 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. \n McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer\n \n New York, NY: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer\n \n Plano, TX: $209,000 - $238,500 for Sr. Lead Machine Learning Engineer\n \n Richmond, VA: $209,000 - $238,500 for Sr. Lead Machine Learning Engineer\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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 4901-4920; 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.\n \n \n 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 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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).

Lead AI Engineer (GenAI Platform, AI Foundations, LLM Core and Agentic AI)\n \n Overview\n \n Lead AI Engineer \n \n 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. \n \n Team Description: \n 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. \n \n In this role, you will: \n\n • \n 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. \n • \n Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. \n • \n Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. \n • \n Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. \n\n \n The Ideal Candidate: \n\n • \n 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. \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. \n • \n 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. \n • \n You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. \n • \n You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. \n\n \n Basic Qualifications: \n\n • \n Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies \n • \n At least 4 years of experience programming with Python, Go, Scala, or Java \n\n \n Preferred Qualifications: \n\n • \n 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience designing, developing, delivering, and supporting AI services \n • \n Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang \n • \n Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n 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. \n McLean, VA: $197,300 - $225,100 for Lead AI Engineer\n \n New York, NY: $215,200 - $245,600 for Lead AI Engineer\n \n Richmond, VA: $179,400 - $204,700 for Lead AI Engineer\n \n San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer\n \n San Jose, CA: $215,200 - $245,600 for Lead AI Engineer\n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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 4901-4920; 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.\n \n \n 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 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Distinguished AI Engineer\n \n \n 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. \n \n Team Description: \n \n 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. \n \n In this role, you will: \n \n\n • \n 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. \n • \n Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. \n • \n Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. \n • \n Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. \n • \n Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. \n\n \n The Ideal Candidate: \n \n\n • \n 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. \n • \n Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. \n • \n 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. \n • \n You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. \n • \n You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. \n\n \n Basic Qualifications: \n \n\n • \n Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies \n • \n At least 10 years of experience programming with Python, Go, Scala, or Java \n\n \n Preferred Qualifications: \n\n • \n 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) \n • \n Experience architecting, designing, developing, integrating, delivering, and supporting complex enterprise AI systems \n • \n Demonstrated ability to lead and mentor an engineering organization and influence cross-functional stakeholders up to the SVP level \n • \n Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang \n • \n Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost \n • \n Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production \n • \n Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers \n\n \n Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. \n \n 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. \n Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer\n \n McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer\n \n New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer\n \n Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer\n \n San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer\n \n San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer\n \n \n \n \n \n \n \n \n \n \n \n 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. \n 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.\n \n 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. \n This role is expected to accept applications for a minimum of 5 business days.\n \n 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 4901-4920; 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.\n \n \n 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 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. \n \n For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com \n \n 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. \n \n 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).

Are you a quality-minded engineer ready to shape how great software gets built? Join Kinsale Insurance, a leading excess and surplus (E&S) lines carrier headquartered in Richmond, VA. We're known for our high-quality, high-touch approach and innovative, personalized solutions that help clients manage complex risks, and we bring that same standard of excellence to how we build and test our own technology. As a QA Analyst, you'll serve as a proactive quality partner throughout the software development lifecycle — shaping testability, risk-based quality strategy, and sustainable automation before implementation even begins. You'll bring curiosity, sound judgment, and a collaborative approach as you influence teams to design, build, release, and operate software with quality built in from the start. This role offers the chance to grow alongside experienced engineers and QA leaders while helping build a high-performing engineering culture. • Identify, own, and solve quality problems independently and as part of a team, • Design and evolve sustainable, reliable test automation that delivers meaningful end-to-end coverage and long-term maintainability, • Partner with product and engineering teams early to translate business outcomes and technical designs into testable requirements and an effective automation approach for web-based Java applications, • Shape risk-based quality and test strategies before execution begins, defining coverage, testability, and acceptance criteria, • Incorporate non-functional requirements — including performance, security, resilience, and observability — into quality planning and test activities, • Collaborate with Product Owners, engineers, and business stakeholders to clarify requirements, surface quality risks, and inform scope and priority decisions, • Diagnose, isolate, and clearly report defects, using technical evidence to support root-cause analysis and verify fixes, • Influence quality across the development lifecycle through design and code reviews, test development, and clear communication of results and risk, • Mentor others in sound testing practices and partner with QA leaders to continually refine Kinsale's quality strategy and standards, • Bachelor's degree in Computer Science or a related field, or an equivalent combination of education and experience, • Experience with web, API, database, and automated software testing, including HTML, JavaScript, CSS, SQL, Playwright, and REST APIs, • Strong analytical skills with the ability to translate business requirements into test strategies, plans, and automated or manual test cases, • Experience testing across functional, integration, regression, performance, UI, and end-to-end scenarios, • Familiarity with CI/CD pipelines (e.g., GitLab) and quality assurance practices in modern software delivery environments, • Strong communication skills, adaptability, and a collaborative mindset in a fast-paced, evolving environment, • Experience using AI-assisted development tools (e.g., Claude, GitHub Copilot) and hands-on exposure to APM tools, logs, and distributed tracing are a plus, • Competitive Pay & Bonus Opportunities – Rewarding performance and initiative, • Comprehensive Benefits – Health, dental, and vision insurance with up to $3,600 (individual) or $6,800 (family) in HSA contributions per year, • Work-Life Balance – Generous paid time off, including 22 days of PTO and 10 paid company holidays, • Career Growth – Clear promotion paths, mentorship, and ongoing professional development, • Retirement & Security – Up to 6% matching 401(k) contributions on base salary and bonus, standard life insurance, and disability coverage, • Continuous Learning – Annual $3,000 reimbursement for educational training and certifications Kinsale values strong financial responsibility. A credit check will be conducted as part of the selection process for roles that require sound judgment, trustworthiness, or access to sensitive information. If you're curious, detail-oriented, and passionate about building quality into every step of the software lifecycle, this is your opportunity to grow your career with a top-performing E&S insurer. Join Kinsale Insurance and help shape an engineering culture that rewards initiative, collaboration, and excellence. Apply today and start building your future with us! Salary Range $100,000 - $115,000 This posted range is our best estimate; starting salary will be based on experience level. Additionally, the posted range reflects only base salary and does not include annual bonuses, benefits, or reimbursements. Equal Opportunity Employer This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

Location: Downtown Richmond, VA Duration: Long term Must be Onsite 4 days a week (Mon-Thursday) Position Description: We are currently looking for an Onshore Sr. QA Test Engineer / Team Leader to work with a Banking client in the Richmond, VA area. Role will involve test execution and team leadership, interfacing with a team of 14 offshore QA Testers, as well as working with developers and the client stakeholders (located in Richmond). This is an onsite role, and it will require 3-4 days a week in the client's office. Required qualifications to be successful in this role: • Must be able to work on client site in the downtown Richmond, VA area., • Experience in all aspects of Testing procedures including execution, test case writing, data setup (speaks to data analysis below), ability to assess automation candidates and translating requirements to actionable test cases/scenarios., • Experience with both manual and automated testing including database and UI based testing., • Strong SQL skills including joins (both inner and outer). Level > medium., • Strong in Data analysis and analytics., • Previous experience working in an Agile environment., • Functional working knowledge of the Banking / Financial Services Industry., • Experience testing in a Distributed Application Environment (e.g. Interfaces and APIs built in Java / SpringBoot)., • Experience testing in a Legacy Application Environment (e.g. Mainframe / JCL) and familiarity with batch processing., • Previous experience leading teams (e.g. Testing Team Lead, etc.), • Strong Communication skills, • Proactive willingness to engage PO/SMs with capacity concerns, issues and serve as an advocate for the team.

Role: DevOps Engineer with AWS CLI experience # of positions: 1 (Remote Work till Sep 2021. Remote work may extend) Required Skills (must have): DevOps Engineer with AWS CLI experience, Strong in basic functions of AWS (Certification preferred), Jenkins, Docker, Linux Detailed Job Description: • Experience with Cloud Native technologies (Amazon Web Services), • Experience with Python, Groovy or Java programming, • Experience with Terraform, • Experience with Open Source tools (Chef, Ansible, Puppet, CI/CD), • Experience in technology delivery in a DevOps and Cloud Engineering environment., • Experience with Linux, server automation and scripting., • Experience with Object Oriented Programming concepts., • Experience in infrastructure design, implementation and delivery., • Experience with monitoring tools (Splunk or Zabbix)., • Experience with Container technology using Docker., • Experience working with Agile Development Practices.

Lead Machine Learning Engineer (MLOps, KServe + building Kubernetes Clusters, PyTorch, TensorFlow on AWS) 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. 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 in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor’s degree At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 2+ years of experience developing performant, resilient, and maintainable code 2+ years of experience with data gathering and preparation for ML models 2+ years of people leader experience 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). 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: $197,300 - $225,100 for Lead Machine Learning Engineer McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer Richmond, VA: $179,400 - $204,700 for Lead Machine Learning Engineer San Jose, CA: $215,200 - $245,600 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; 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 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com . 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 Careers@capitalone.com 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).

At NTT DATA we know that with the right people on board, anything is possible. The quality, integrity, and commitment of our employees have been key factors in our company’s growth and market presence. By hiring the best people and helping them grow both professionally and personally, we ensure a bright future for NTT DATA Services and for the people who work here.Req ID: 6978• Will be responsible for writing high-performance, reliable and maintainable code.• Will write MapReduce jobs• Hadoop development, implementation and support• Loading from disparate data sets• Pre-processing using Hive and Pig• Designing, building, installing, configuring and supporting Hadoop• Translate complex functional and technical requirements into detailed design• Perform analysis of vast data stores and uncover insights• Maintain security and data privacy• Create scalable and high-performance web services for data tracking• High-speed querying• Propose best practices/standardsRequirements:• 6+ years of hands-on Java experience• 1+ years hands-on Scala experience • 3+ years hands-on experience in Hadoop programming • Good knowledge in back-end programming, specifically java, JS, Node.js and OOAD• Writing high-performance, reliable and maintainable code.• Ability to write MapReduce jobs.• Good knowledge of database structures, theories, principles, and practices.• Good understanding of Hadoop, YARN, MapR• Familiarity with Kafka, Nifi, AWS, Maven, Stash and Bamboo• Familiarity with data loading tools like Talend, Flume, Sqoop• Familiarity of Apache Zeppelin• Knowledge of workflow/schedulers like Oozie• Analytical and problem solving skills, applied to Big Data domain• Proven understanding with Hadoop, HBase, Hive, Pig, and HBase• Good aptitude in multi-threading and concurrency conceptsDesired:• Experience with Hospitality Industry preferredThis is a full-time salaried position with a group company within NTT DATA. Please note, 1099 or corp-2-corp contractors will NOT be considered. This position is only available to those interested in direct staff employment opportunities. We offer a full comprehensive benefits package that starts from your first day of employment.Posting Date:Department: -

Job Title: QA Automation EngineerLocation: On-site in Glen Allen, VA Job Description: As a QA Automation Engineer for Richmond National, you will be responsible for ensuring the quality and reliability of our software applications through effective testing and automation. You will collaborate closely with the development team to design, develop, execute, and maintain automated test scripts, frameworks, and tools. Your expertise in automated testing, software quality assurance, and insurance industry knowledge will be crucial in identifying defects, ensuring compliance, and delivering high-quality software solutions to support our business operations. Responsibilities:Test Automation: Design, develop, and maintain automated test scripts, frameworks, and tools using industry-standard testing tools and methodologies. Collaborate with internal and external development teams to identify areas suitable for automation and integrate automated tests into the continuous integration and delivery pipelines. Execute automated tests and analyze results to identify and report defects and inconsistencies, ensuring proper tracking and documentation of issues. Test Planning and Strategy: Collaborate with business analysts, software developers, and other stakeholders to understand project requirements and design comprehensive test plans and strategies. Develop and maintain test cases, test scenarios, and test data to ensure maximum test coverage and effectiveness. Contribute to the creation and maintenance of a test repository for reusability and efficiency. Defect Management: Identify, track, and report defects using issue tracking systems, ensuring clear and accurate documentation of issues and their resolutions. Collaborate with Agile development teams to investigate and troubleshoot issues, providing detailed information and assisting in root cause analysis. Validate defect fixes and perform regression testing to ensure no new issues arise. Test Environment Management: Assist in setup and maintenance of test environments, including test data preparation and configuration management, to support test execution and ensure accurate results. Collaborate with system administrators and other stakeholders to ensure the availability and stability of test environments. Quality Assurance: Contribute to the continuous improvement of software quality assurance practices, processes, and tools. Participate in code reviews, requirements reviews, and design discussions to provide valuable input from a quality perspective. Stay updated with industry trends and advancements in test automation tools and techniques. Recommend improvements to enhance testing efficiency and effectiveness. Collaboration and Communication: Work closely with cross-functional teams, including developers, business analysts, and project managers, to ensure a seamless integration of testing activities throughout the software development lifecycle. Communicate testing progress, status, and any potential risks to stakeholders, including management and project teams. Act as a subject matter expert in QA automation, providing guidance and mentorship to junior team members. Qualifications: Bachelor's degree in Computer Science, Software Engineering, or a related field preferred. Proven experience (4-6 years) as a QA Automation Engineer. Strong knowledge of software testing principles, methodologies, and best practices. Proficiency in test automation frameworks and test management tools (e.g., Playwright, Selenium, Cucumber, JUnit, TestNG, Testmo, Testrail). Experience with scripting languages (e.g., TypeScript, Java, Python) for test automation. Solid understanding of web technologies (HTML, CSS, JavaScript) and API testing (Postman). Experience with ChatGPT, Claude, Gemini, Copilot or similar technologies.Familiarity with continuous integration and delivery (CI/CD) concepts and tools (e.g., Git, GitHub Actions, Docker). Strong analytical and problem-solving skills, with attention to detail and the ability to prioritize and multitask in a fast-paced environment. Excellent communication and collaboration skills, with the ability to work effectively in a team and interact with stakeholders at various levels. Compensation:At the time of posting, the expected base salary range for this role is $95,000-$115,000 annually. Additionally, this position is eligible for participation in our annual bonus program. Actual compensation will be determined by many factors, including but not limited to, location, education, certifications, qualifications, relevant experience, internal equity, business need, and any applicable minimum wage requirements. Richmond National offers a comprehensive benefits package, more details on which can be found below. SummaryLocation: Glen Allen, VA, United StatesType: Full TimeExperience: Experienced

Company DescriptionSonsoft , Inc. is a USA based corporation duly organized under the laws of the Commonwealth of Georgia. Sonsoft Inc. is growing at a steady pace specializing in the fields of Software Development, Software Consultancy and Information Technology Enabled Services.Job DescriptionAt least 5 years of experience in technology consulting, enterprise or solutions architecture and architectural frameworks.At least 3 years in a Sale Support / Client Engagement Role for new or existing deployments, RFP, SOW, Sales Presentation Creation experienceAt least 3 years of experience in Salesforce development and implementations Skills with good command on Apex, Visual force, controllers, triggers, batch processes, APIs and web services.At least 3 years of experience in implementing CRM solutions with a minimum of 3 years Salesforce Force.com platform/Sales Cloud/Service Cloud implementationsThorough understanding on the Life Cycle of Development including Salesforce Deployment/Packaging effectively using Metadata API, ChangeSet and Ant.Best Practices understanding on Coding Standards, Deployment, Apex, VF, Salesforce Integration, Security implementationsExperience on Force.com Integration Technologies (WebServices, 3rd Party tool like CastIron/Boomi) to Integrate with On-Premise systems like Siebel, OMS and Java Based Systems Complete understanding of governor limitsImplement SOAP ./ REST based web servicesDevelop Web Services classes on Force.com platform and WSDL GenerationWriting Apex Classes, Visual Force Pages, Apex Triggers, Controllers, JQueries to implement complex business requirementsFluent with SOSL and SOQL , WorkflowsHands on experience with Tools like Data Loader, Eclipse, SoapUI, APEX Explorer, Ant Scripts, AJAX tool kitMigration of all the Customizations including Custom Configurations, packages, and other objects from Sandbox to Production environmentCustomizations of Reports, Dashboards, Workflows, Approval ProcessesCertified Salesforce Advanced Administrator.Salesforce configuration activities like workflow rules, setting up profiles, permissions sets, sharing rules, approval process, process builder. Experience with custom reporting, modifying pages, views and dashboardsAble to understand user requirements and convert them into of Salesforce.com technical requirements, system configurationAbility to work independently and as part of a teamAbility to be flexible with changeGood written and verbal communication skills a mustAbility to work closely within a team environmentPlatform Dev1/2 or DEV 501 CertificationSOAP implementation of the APIs both Enterprise and Partner WSDLSingle Sign OnJava experience is a big plus< OR >FUNCTIONAL:At least 5 years’ experience in in translate functional requirements and business rules into technology solutions and develop a technical strategy, and be able to create and effectively demonstrate solutions that address customer requirements.At least 3 years in a Sale Support / Client Engagement Role for new or existing deployments, RFP, SOW, Sales Presentation Creation experienceFamiliarity with Salesforce latest product launches including Wave Analytics, Lightning.Ability to work in team in diverse/ multiple stakeholder environmentExperience and desire to work in a Global delivery environmentWell versed with Configuration and customizations of objectsUnderstanding of market and technology trends.Analytical skills Experience and desire to work in a management consulting environment that requires regular travelExperience in at least one of the following:-Certified Salesforce Advanced Administrator (Highly Desired)Salesforce configuration activities like workflow rules, setting up profiles, permissions sets, sharing rules, approval process, process builder. Experience with custom reporting, modifying pages, views and dashboardsAble to understand user requirements and convert them into of Salesforce.com technical requirements, system configurationAbility to work independently and as part of a teamAbility to work closely within a team environmentPlatform Dev1/2 or DEV 501 Certification (Highly Desired):-SOAP implementation of the APIs both Enterprise and Partner WSDLSingle Sign OnJava experience is a big plusAt least 2 years’ experience in translate functional requirements and business rules into technology solutions and develop a technical strategy, and be able to create and effectively demonstrate solutions that address customer requirements.Familiarity with Salesforce latest product launches including Wave Analytics, Lightning.Ability to work in team in diverse/ multiple stakeholder environmentExperience and desire to work in a Global delivery environmentWell versed with Configuration and customizations of objectsQualificationsBachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.At least 11 years of experience in Information Technologies.Additional Information U.S. Citizens and those who are authorized to work independently in the United States are encouraged to apply. We are unable to sponsor at this time.Note:-This is a Full-Time & Permanent job opportunity for you.Only US Citizen, Green Card Holder, GC-EAD, H4-EAD & L2-EAD can apply.No OPT-EAD, H1B & TN candidates please.Please mention your Visa Status in your email or resume. All your information will be kept confidential according to EEO guidelines.SummaryType: Full-timeFunction: Information TechnologyExperience level: Mid-Senior LevelIndustry: Information Technology And Services

Ideal candidates will be able to report to our Pulse Point location at 2015 Staples Mill Road, Richmond, VA 23230. Work Hours: Monday to Friday, 8:00 am to 5:00 pm The Director I Engineering is responsible for strategic oversight and delivery of application and system solutions for client group, business unit or corporate department and utilizing various customer technology platforms. How You Will Make An Impact: • Plan, direct, and control several teams of resources and initiatives to accomplish the objectives and requirements defined by senior technology and product management across multiple teams., • Interface with key Information Technology (IT) solution vendors; develop strategies and facilitate performance measurement plans to optimize vendor performance and outcomes., • Scope project as needed based on business product expectations and available resources., • Manage multiple systems or products of varying capital and level of responsibility and complexity., • Lead the budget development process., • Ensure disaster recovery and business continuity plans are implemented, monitored, and updated on a recurring basis., • Identify and resolve hurdles for assigned area/group and deliver according to established deadlines., • Direct multiple work functions/applications or major projects/programs with broad scope and strategic business impact., • Establish business objectives and integrate operational plans., • Engage with customers in order to understand new product as well as enhancements to existing products., • Negotiate the resolution of intra-organizational issues in the balanced best interests of the business., • Establish and maintain collaborative relationships with key business partners., • Hire, train, coach, counsel, and evaluate performance of direct reports., • Develop Technology Plan and Forecast for an enterprise application, enterprise-wide tool, infrastructure, or a center or domain that is equivalent in scope and complexity, and manage day to day operations for a major portion of a functional area or department., • Work with IT Leadership and business to identify new products., • This position supervises 5 or more subordinate employees in the roles of: Engineer Lead, Engineer III, System Analyst, Tech Program Manager, Engineer Senior. Minimum Requirements: • Bachelor's degree in Information Technology, Computer Science, Engineering, or related., • Seven (7) years of experience in related occupation(s)., • Seven (7) years of experience in related occupation(s) must include:, • Seven (7) years of experience working in information technology., • Additionally, this position requires experience in each of the following:, • Seven (7) years of experience with RDMS Database technologies using at least one of the following: Oracle, Microsoft SQL, or Teradata., • Five (5) years of experience with ETL technologies using at least one of the following: Informatica, DataStage, or Microsoft SSIS., • Five (5) years of experience with data warehousing and data lakes using any of the following: Snowflake, Star, or 3NF., • Five (5) years of experience with Business Intelligence reporting tools using at least one of the following: Tableau, Power BI, Business Objects, or MicroStrategy., • Three (3) years of experience with AWS, Microsoft Azure, or Google GCP., • Two (2) years of experience with programming language using one of the following: JAVA, Python, or Scala;, • Two (2) years of experience with Provider data and understanding Provider data systems. Travel Requirement: Domestic travel up to 10% of time Job Level: Director Workshift: Full time Job Family: IFT > Engineering/Dev Elevance Health is a health company dedicated to improving lives and communities and making healthcare simpler. We are a Fortune 25 company with a longstanding history in the healthcare industry, looking for leaders at all levels of the organization who are passionate about making an impact on our members and the communities we serve. At Elevance Health, we are creating a culture that is designed to advance our strategy but will also lead to personal and professional growth for our associates. Our values and behaviors are the root of our culture. They are how we achieve our strategy, power our business outcomes and drive our shared success - for our consumers, our associates, our communities and our business. We offer a range of market-competitive total rewards that include merit increases, paid holidays, Paid Time Off, and incentive bonus programs (unless covered by a collective bargaining agreement), medical, dental, vision, short and long term disability benefits, 401(k) +match, stock purchase plan, life insurance, wellness programs and financial education resources, to name a few. Elevance Health operates in a Hybrid Workforce Strategy. Unless specified as primarily virtual by the hiring manager, associates are required to work at an Elevance Health location at least once per week, and potentially several times per week. Specific requirements and expectations for time onsite will be discussed as part of the hiring process. The health of our associates and communities is a top priority for Elevance Health. We require all new candidates in certain patient/member-facing roles to become vaccinated against COVID-19 and Influenza. If you are not vaccinated, your offer will be rescinded unless you provide an acceptable explanation. Elevance Health will also follow all relevant federal, state and local laws. Elevance Health is an Equal Employment Opportunity employer, and all qualified applicants will receive consideration for employment without regard to age, citizenship status, color, creed, disability, ethnicity, genetic information, gender (including gender identity and gender expression), marital status, national origin, race, religion, sex, sexual orientation, veteran status or any other status or condition protected by applicable federal, state, or local laws. Applicants who require accommodation to participate in the job application process may contact _ for assistance. Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws, including, but not limited to, the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act.

Company DescriptionEROS Technologies was founded with a simple motive of offering the clients exactly what they want, how they want and when they want it. By leveraging for its clients its technological edge and right-sourcing advantage, EROS in a short period of time has grown to become one of the most trusted strategic technology partners. Treating every client as the top priority, we customize our solutions and services to align with the unique needs of each client.Job Description Relevant Experience (in Yrs) 5+ Experience Technical/Functional Skills J2EE Technologies Experience Required • BS/MS in engineering, business or a related field, MBA a plus • 7+ years’ experience in Web Development • Advanced knowledge of Microsoft Excel and SQL Query languages required Roles & Responsibilities • 5+ Years’ experience in Web application development using J2EE technologies. • Strong experience on REST Web Services. • Awareness of Content Management frameworks like Apache Sling, Apache Felix (OSGI), Apache Jackrabbit, Java Content Repository (JSR-170 API) • Expertise with front end technologies such as JQuery, Bootstrap, CSS. • Familiarity with Content Management tools, Adobe CQ/AEM preferred • Understanding of URL rewriting rules. • Build Tools - Maven / ANT, Jenkins, CI Tools • Version Management : GIT/ SVN • Lifecycle management Tools : Version One • Experience with Agile/Iterative/TDD Project Methodology, SCRUM • Excellent communications skills - verbal and written & problem solving skills • Experience of working in insurance domain. • Integration experience with Salesforce is a plus. • Conduct designing sessions with development teams at low level projects. • Developed IT frameworks and productivity accelerators along with team of architects. Generic Managerial Skills • Ability to prioritize and work on multiple tasks simultaneously • Strong communication and organizational skills • Ability to multi-task, prioritize and execute on assigned deliverables • Ability to quickly learn new systems and business processesAdditional InformationAll your information will be kept confidential according t o EEO guidelines.SummaryType: Full-timeFunction: Information TechnologyExperience level: Mid-Senior LevelIndustry: Computer Software

As a Capital One Director of Software Engineering, you'll work on everything from customer-facing web and mobile applications using cutting-edge open source frameworks, to highly-available RESTful microservices, to back-end Java based systems and Machine learning models using the hottest techniques in Big Data. You'll bring solid experience in emerging and traditional technologies such as: node.js, Java, GO, AngularJS, React, Python, REST, JSON, XML, Ruby, Perl, NoSQL databases, relational databases, Spark, Artifactory, Maven, iOS, Android, and AWS/Cloud Infrastructure to name a few. The Director, Software Engineering (Network Platform Development) will be responsible for Capital One network design and transformation, fundamentally shifting the Network infrastructure towards a proactive, Intent Based Network architecture framework, built on Infrastructure-as-Code principles. This leader will focus on accelerating automation, AI integration, innovation-first engineering discipline and engineering practice maturity. The Director will be responsible for building and scaling a specialized team focused on automating a complex technology landscape, standardizing engineering configurations, and consolidating overlapping vendor functions. By embedding built-in governance, maximizing technological efficiency, and integrating agentic AI technologies, this leader will drive continuous optimizationsystematically upskilling the team toward advanced automation capabilities. This is a high-impact position for a transformative leader ready to own the network transformation engineering initiative and replace manual operational processes with cutting-edge network development and intelligent automation. You will: • Lead, manage and grow multiple teams of product focused software engineers, • Mentor and guide the professional and technical development of engineers on your team., • Work with product managers to understand desired application capabilities and testing scenarios, • Continuously improve software engineering practices, • Work within and across Agile teams to select, design, develop, test, implement, and support technical solutions across a full-stack development tools and technologies, • Lead the craftsmanship, availability, resilience, and scalability of your solutions, • Bring a passion to stay on top of tech trends, experiment with and learn new technologies, participate in internal & external technology communities, and mentor other members of the engineering community, • Encourage innovation, implementation of cutting-edge technologies, inclusion, outside-of-the-box thinking, teamwork, self-organization, and diversity, • Work across to improve the velocity of your and other teams, • Lead efforts to deploy new and existing applications into AWS environments, • Break existing monolithic applications into micro service architectures and build new microservices Basic Qualifications: • Bachelor's Degree, • At least 7 years' experience in software development, • At least 7 years' experience in network engineering and architecture, • At least 7 years' experience in advanced networking concepts in routing, switching and wi-fi, • At least 5 years' experience in people management Preferred Qualifications: • Master's Degree in Computer Science or a Master's Degree in Software Engineering, • 10+ years' of experience in software development, • 10+ years' of experience in advanced networking concepts in routing, switching and wi-fi, • 8+ years' of experience in cloud and software-defined networking, • 5+ years' of experience in Agile practices Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $269,100 - $307,200 for Director, Software EngineeringPlano, TX: $244,700 - $279,200 for Director, Software EngineeringRichmond, VA: $244,700 - $279,200 for Director, Software Engineering 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. 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 4901-4920; 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 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. 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 Careers@capitalone.com 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).

At Genworth, we empower families to navigate the aging journey with confidence. We are compassionate, experienced allies for those navigating care with guidance, products, and services that meet families where they are. Further, we are the spouses, children, siblings, friends, and neighbors of those that need care—and we bring those experiences with us to work in serving our millions of policyholders each day.We apply that same compassion and empathy as we work with each other and our local communities. Genworth values all perspectives, characteristics, and experiences so that employees can bring their full, authentic selves to work to help each other and our company succeed. We celebrate our diversity and understand that being intentional about inclusion is the only way to create a sense of belonging for all associates. We also invest in the vitality of our local communities through grants from the Genworth Foundation, event sponsorships, and employee volunteerism.Our four values guide our strategy, our decisions, and our interactions:• Make it human. We care about the people that make up our customers, colleagues, and communities.• Make it about others. We do what’s best for our customers and collaborate to drive progress.• Make it happen. We work with intention toward a common purpose and forge ways forward together.• Make it better. We create fulfilling purpose-driven careers by learning from the world and each otherPosition Title: Senior Security Engineer, ApplicationPosition location:Richmond, Va., Lynchburg, Va.This position is available to Virginia residents as Richmond or Lynchburg, Virginia in-office applicants*A Hybrid schedule of both Remote and In-Office days is required. In office days are Tuesday, Wednesday and Thursday with working hours targeting our core business hours of 9am-5pm EST.Your role:As an Senior Security Engineer, Application you will manage the technologies and processes supporting secure application development in both physical datacenter and cloud environments. You will be responsible for providing application security services and support to internal partners to ensure adherence to the policies and standards of the company. As an ideal candidate you will have 5+ years of experience in a Security Engineering role with proven experience in Application Security, DevSecOps, and experience securing applications in cloud environments. What you will be doing:• Manage and support application vulnerability scanning technologies, AST platforms, and cloud security tooling.• Collaborate with business stakeholders to design secure applications, test applications for security weakness, and partner on remediation of identified issues.• Work with key stakeholders to identify, respond to, and remediate information security issues.• Coordinate the orchestration, automation, and management of security technologies and platforms.• Support day-to-day life cycle management, including identification, threat assessment, threat modeling and risk avoidance.• Create reasonable and actionable reports showing direct impact to the security posture.• Define and implement meaningful metrics to measure the effectiveness of security controls through Key Risk Indicators (KRIs) and security scorecards.• Serve as a subject-matter-expert for Application Security; act as a key point of contact for critical issues, security risk assessments and triaging CI/CD issues with partners and stakeholders.• Evaluate business and technical requirements to identify and implement tools, processes, and technologies to improve our security posture in our environments.• Ensure the continuous improvement of existing compliance processes.What you bring:• Computer Science or similar degree• Experience using vulnerability scanning technologies, AST platforms, and cloud security tooling.• Formal experience with threat modeling.• Experience leading projects, initiatives, and resources through direct and indirect leadership.• Deep knowledge of Assessing and prioritization of Risk with an ability to think like a bad actor and use that context to conduct threat models.• Cloud experience (AWS, Azure, GCP)• Infrastructure as Code (IaaC) and Policy as Code (PaC) Concepts.• Experience implementing secure Software Development Lifecycle programs.• Familiarity with technical security controls, guidelines, and frameworks outlined by standards such as SOC2, ISO 27001, NIST 800-53.• Ability to automate tasks and code solutions to repetitive problems.• Scripting or programming experience (Java, .NET, HTML, Ruby, PHP, Perl, C#, Python, JavaScript, PowerShell, Bash) • Experience with penetration testing and web application assessment.• Experience assessing software compliance with HIPAA, PHI, PII and PCI regulations.Employee Benefits & Well-BeingGenworth employees make a difference in people’s lives every day. We’re committed to making a difference in our employees’ lives.• Competitive Compensation & Total Rewards Incentives• Comprehensive Healthcare Coverage• Multiple 401(k) Savings Plan Options• Auto Enrollment in Employer-Directed Retirement Account Feature (100% employer-funded!)• Generous Paid Time Off – Including 12 Paid Holidays, Volunteer Time Off and Paid Family Leave• Disability, Life, and Long Term Care Insurance• Tuition Reimbursement, Student Loan Repayment and Training & Certification Support• Wellness support including gym membership reimbursement and Employee Assistance Program resources (work/life support, financial &legal management)• Caregiver and Mental Health Support ServicesADDITIONAL INFORMATIONNational Range: $96,700 - $145,000Disclaimer: This role is aligned to a national market-based pay range. Actual compensation will vary based on geographic location, experience, skills, and other job-related factors. In addition to base salary, this role is eligible to participate in a bonus incentive plan. Incentive compensation is based on individual and company performance and is not guaranteed.SummaryLocation: Richmond, VirginiaType: Full time

Position Summary Oracle Identity Analyst / Security Engineer I As an Oracle Identity Analyst, you’ll work with client and Deloitte teams to design, implement, and enhance Oracle Identity solutions that strengthen access controls, improve user lifecycle management, and support business and regulatory requirements. You’ll support Oracle Identity engagements that help clients modernize identity governance, access management, and security architecture across enterprise environments. This role offers the opportunity to contribute across strategy, design, deployment, and optimization efforts in complex environments.Recruiting for this role ends on 8/20/2026Work you'll doAs an Analyst on the Deloitte Cyber team, you will be responsible for…Supporting the design, configuration, and implementation of Oracle Identity solutions across identity governance, provisioning, access management, and authentication use casesAssisting leaders in technical workshops and present findings to both technical and executive stakeholdersCollaborating with business, security, and technology stakeholders to define requirements, document solution designs, and align Oracle Identity capabilities to enterprise objectivesAssisting with the integration of Oracle Identity platforms with enterprise applications, directories, and security tools using standard protocols and established implementation patternsDeveloping access reviews, provisioning, and entitlement management assessmentsA successful candidate would possess these skills:Ability to work independently and collaborate as part of a teamEffective written and verbal communication skillsMeticulous attention to detail and quality of work productAbility to build and sustain professional relationshipsAbility to lead projects or workstreamsAbility to manage and prioritize multiple tasks in a fast-paced and dynamic environmentStrong interpersonal skills and professional demeanorAbility to meet deadlinesAbility to provide clear guidance to othersThe teamDeloitte Cyber helps organizations build trust in digital environments by strengthening identity, access, and security capabilities across critical platforms. The team works with clients to protect users, secure access to data and systems, and improve confidence in digital interactions through scalable cybersecurity solutions.QualificationsRequired:Bachelor’s degree in Computer Science, Information Systems, Cybersecurity, Engineering, or MathematicsDemonstrated training in Oracle Identity GovernanceDemonstrated understanding of IAM domainsDemonstrated knowledge of web development solutions like Java Scripts/HTML.SSAbility to travel up to 50%, on average, based on the work you do and the clients and industries/sectors you serve.Limited immigration sponsorship may be available.Preferred:Relevant certifications: Certification in any one of the products (Oracle (Preferred), SailPoint, Saviynt)Familiarity with DevSecOps and IAM automation (SCIM, REST APIs, PowerShell, Python)Experience with Oracle Cloud Infrastructure identity and access management capabilitiesFamiliarity with regulatory compliance like SOX, HIPPAExperience with access controls supporting audit, compliance, or regulatory requirementsExperience working in consulting or client-service delivery environment The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $68,000 to $133,900.You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at USTalentCICInbox@deloitte.com. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ways of thinking, ideas, and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Learn more. Professional development From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. As used in this posting, "Deloitte" means Deloitte & Touche LLP, a subsidiary of Deloitte LLP. Please see for a detailed description of the legal structure of Deloitte LLP and its subsidiaries. Certain services may not be available to attest clients under the rules and regulations of public accounting. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. Qualified applicants with criminal histories, including arrest or conviction records, will be considered for employment in accordance with the requirements of applicable state and local laws, including the Los Angeles County Fair Chance Ordinance for Employers, City of Los Angeles’s Fair Chance Initiative for Hiring Ordinance, San Francisco Fair Chance Ordinance, and the California Fair Chance Act. See notices of various fair chance hiring and ban-the-box laws where available. Fair Chance Hiring and Ban-the-Box Notices | Deloitte US Careers Requisition code: 362708 Job ID 362708 Engineering and Product | Security EngineeringSame job available in 40 locations

Company DescriptionUSM Business Systems Inc. is a quickly developing worldwide System Integrator, Software and Product Development, IT Outsourcing and Technology assistance supplier headquartered in Chantilly, VA with off-shore delivery centers in India. We offer world-class ability in giving most astounding quality and administrations through industry best practices planned to convey remarkable worth to our customers.Utilizing our industry knowledge, administration service offering expertise and innovation abilities, we distinguish new business and innovation slants and create answers for help customers around the globe, giving top of the line solid and practical IT benefits which are cost effective services.Established in 1999, the organization has corner qualities in building and dealing with a Business Oriented IT environment with rich involvement in technology innovation, ERP and CRM counselling, Product Engineering, Business Intelligence, Data Management, SOA, BPM, Data Warehousing, SharePoint Consulting and IT Infrastructure. Our other offerings include modified solutions and administrations in ERP, CRM, Enterprise architecture, offshore advisory services ,e-commerce, Social , Mobile, Cloud, Analytics (SMAC) and DevOps.USM, a US ensured Minority Business Enterprise (MBE) is perceived as one of the fastest developing IT Systems Integrator in the Washington, DC zone. Most as of late, USM was positioned #9 on the rundown of the Top administrations organizations in the DC Metro Area – Washington Business Journal (2011). We are a project-driven firm that reliably meets the IT needs of our State and Government customers through development and business keenness.Job DescriptionProgram Analyst6+ MonthsRichmond VANeed GC,USC,GC-EAD,H1’SInterview: F2FNeed LocalsSenior Software Engineer to analyze, design, develop and implement Web-based and Client/Server applications. This position is responsible for maintaining enterprise application technology; collaborating with business architects, analysts and stakeholders to understand strategic business initiatives and develop technical solutions; providing input, recommendations and specifications to ensure acquired applications, SAS solutions and internally-developed software are designed to comply with software development and coding standards and industry best practices. Will also work collaboratively with the application development and infrastructure teams to ensure the interoperability and integration of technologies across the technology stack; work closely with management to evaluate cost and feasibility of COTS products and project proposals; review technologies and provide technology recommendations.Qualified applicants should have experience with full software development life cycles and experience developing business applications in an object-oriented environment. Knowledge of Java and related frameworks such as Spring and Hibernate, SQL, Javascript and HTML is required. Working knowledge of designing and development of Java applications, web applications, Web Services using tools such as Subversion, Linux, Nexus, Jenkins, and SonarQube is preferred. .Net exposure, experience with Oracle database, Weblogic or similar Java application servers and penetration testing are plusses. The demonstrated ability to work independently or as a member of a team is desired, along with the ability to communicate effectively, both orally and in writing.Additional InformationIf you are interested in the below position please forward your profile to preethib@usmsystems(dot)com or call me on 703 468 0398.SummaryFunction: Information TechnologyExperience level: Mid-Senior LevelIndustry: Information Services

Must-Have Skills: • Hands-on experience in production/application support, • Strong SQL and Java, • SailPoint IdentityIQ expertise, • Experience with provisioning workflows, app integrations, and incident resolution Preferred Skills: • Enterprise-level support background

Greetings, my name is Manav, and I'm a Talent Development Recruiter at SynergisticIT. I came across your profile in our resume database and noticed that you are actively searching for job opportunities. I wanted to reach out to you with an exciting opportunity that aligns with your skills and aspirations as your profile. I'm excited to introduce you to our Full-Time Job Placement Program (FEE-BASED) meticulously designed to empower individuals like you to excel in the ever-evolving IT landscape. (THIS IS NOT A JOB OFFER) To get a deeper insight into our organization and program, I encourage you to explore our success stories, references, testimonials, recent alumni, clients, advantages of joining the program, fee structure, and can watch what the program entails: Transform Your Future with SynergisticIT | Candidate Outcomes. Here's a glimpse of the benefits that await you: • Transformative IT Journey: Elevate your IT skills and unlock unparalleled career prospects through our tailored program., • Diverse Audience: Designed for recent graduates, ambitious tech enthusiasts, job seekers, and those re-entering the job market., • Visa Holder Opportunities: Explore stable and competitive full-time roles, with options including OPT, CPT, H4EAD, L2EAD, GC, and PR holders. F1 OPT / STEM OPT students can do the program while they are still in school to ensure a job offer as soon as they graduate., • Competitive Edge: Stand out in a market marked by over 250,000 tech layoffs since December 2022., • Industry Giants Connection: Our success stories include placements at tech titans like Google, Apple, PayPal, and Amazon., • Real-World Experience: Benefit from a curriculum enriched with hands-on projects and certifications from Microsoft, IBM, Oracle, and AWS., • Application Success: Receive guidance to overcome rejections and ensure your CV grabs attention and opens doors., • Lucrative Income Potential: Our graduates enjoy an impressive average annual income ranging from $75,000 to $150,000., • Swift Employment: Minimize potential income loss with our focus on swift career placement., • Fulfilling Career: Shape a prosperous future in the dynamic IT realm with expert guidance. Our program caters to a range of IT domains, including Java, Full-stack Development, Data Science, Machine Learning, Python, and AI roles. Whether you're a recent graduate, transitioning careers, or looking to amplify your IT skills, our program has something exceptional to offer. Please check the following blog to get a better understanding of the rate of return of our program: ROI Of Computer Science Degree Colleges Vs SynergisticIT | SynergisticIT. To be eligible for this program, we prefer the following (Not Mandatory): • A degree (BS/MS/AS) in Computer Science, IT, Computer Engineering, Information Systems, Mathematics, Statistics, or a related field., • Proficiency in coding, programming, or data analysis., • Strong teamwork skills and effective communication abilities. Specific skill requirements for different roles include: • Java Programmers: Proficiency in C, C++, Core Java, Spring Boot, and Hibernate., • Data Scientists or Machine Learning Experts: Expertise in Python, Django, Deep Learning, and NLP. But that's not all! Within 5-6 months, our program brings a host of unparalleled benefits: • Real-world, Hands-on Experience: Immerse yourself in real-time projects using cutting-edge technologies to enhance your practical skills., • Enhanced Professional Profile: Acquire valuable IT certifications that will set you apart in the competitive job market., • Simulated Real-world Projects: Gain hands-on experience through simulated projects that mirror actual industry challenges., • Comprehensive Interview Preparation: Master various interview formats and techniques, ensuring you're well-prepared for any assessment., • Fortune 500 Client Placements: Secure the chance to work with industry giants, opening doors to lucrative salaries ranging from $81,000 to $160,000. If you find this opportunity appealing, I invite you to reach out to me. Let's discuss the program in further detail and address any inquiries you may have. Feel free to respond to this email, and if you have an updated resume, please attach it for our reference. You can also reach me directly at manav@synergisticit.com. If you're not currently seeking opportunities or prefer communication at a later date, please let me know your availability. Your success is our utmost priority, and we are dedicated to supporting you throughout your job search journey. Thank you for investing your time in reading this email. I eagerly anticipate the opportunity to assist you in achieving your career aspirations. Best regards, MANAV Sr. Talent Development Recruiter Phone: (510)-347-8118 Email: manav@synergisticit.com Website: https://www.synergisticit.com 39141 Civic Centre Dr Suite 201, Fremont, CA 94538, United States " Getting too many emails from us and don't want to receive any emails? Please reply UNSUBSCRIBE "