62 jobs found

Job Summary Generalist architect assigned to a corporate functions portfolio (Logistics tech, Sales tech, Ecom etc,.) for creating solution designs for new capabilities/projects that the Portfolio implements and for leading/trouble shooting and supporting operational initiatives within the portfolio like technical upgrades of systems, patches, support for outages etc. Job Description MAJOR RESPONSIBILITIES Acts as a consultant on a broad range of technologies, platforms and vendor offerings and drive targeted business outcomes while maintaining alignment with the overall enterprise architecture. Collaborates with management, business leaders, IT architecture, and other stakeholders to connect the business roadmap with operational decisions. Identifies the organizational impact (for example, on skills, processes, structures or culture) and financial impact of the solutions architecture. Produces expert analysis, research, and designs for technical solutions that enable business capabilities, processes, and functions. Stays abreast of current technology trends both in the industry as a whole and with the applications deployed in the landscape. Leads Technical Design, Analysis, Development and Delivery. Leads evaluation, design, and analysis for the implementation of a solutions architecture across a group of specific business applications or technologies based on enterprise business strategy, business capabilities, value-streams, business requirements and enterprise standards. Translates business and technical requirements into an architectural blueprint to achieve business objectives and documents all architecture design and analysis work. Creates architectural designs to guide and contextualize solution development across products, services, projects, and systems (including applications, technologies, processes and information) in a way that is directly actionable, clear and unambiguous. Works closely with the product owners and project/product managers to ensure a robust architectural runway that can support future business requirements throughout the product lifecycle. Provides consulting support to application teams to ensure the project/product is aligned with the overall enterprise, solution, and application architectures. MINIMUM JOB REQUIREMENTS Education Bachelor's degree in computer science, information-technology, systems engineering or a related study. Work Experience At least 5 years of experience with multiple IT solution development disciplines, including technical or infrastructure architecture, network management, application development, middleware, database management or cloud development. Experience with Cloud technologies; designing and building applications for the cloud (Azure, AWS, GCP). Experience with ERP and middleware applications (such as SAP, Oracle, SAP IS, SAP AEM, Talend). Knowledge / Skills / Abilities Experience delivering presentations to senior-level executives and technical audiences. Experience with various software development technologies (such as JavaScript, HTML, CSS, Java, .NET, PHP, ABAP). Experience with various database technologies (such as MSSQL, MongoDB, Oracle, HANA). Experience developing system designs, strategies, evaluations, and roadmaps. Excellent written and verbal communication skills, with ability to effectively communicate with technical and non-technical staff at all levels of the organization. Solid understanding of product management, agile principles and development methodologies and capability of supporting agile teams by providing advice and guidance on opportunities, impact and risks, taking account of technical and architectural debt. Excellent interpersonal skills in areas such as teamwork, facilitation and negotiation. Strong leadership skills. Excellent analytical and technical skills. Excellent planning and organizational skills. Skilled at influencing, guiding and facilitating stakeholders and peers with decision making. Knowledge of various aspects of an enterprise technology architecture like business, information, data, network and security. Ability to understand and apply various diagraming and modeling techniques. Good understanding of strategic and emerging technology trends, and the practical application of those technologies to evolving business and operating models. Ability to work effectively in a team environment and lead cross-functional teams. Strong understanding of the company's processes, organization, customers, and business models. PREFERRED JOB REQUIREMENTS Work Experience Experience in working with multi-site global teams. 4+ years of DevSecOps experience -including unit testing, CI/CD, security compliance, functional/performance/stress test automation. Experience architecting secure applications for Healthcare and are familiar with PHI, PII, and HIPAA compliance requirements. Knowledge / Skills / Abilities Ability to apply multiple technical solutions to enable future-state business capabilities that, in turn, drive targeted business outcomes. Ability to balance the long-term (big picture) and short-term implications of individual decisions. Ability to remain unbiased toward any specific technology or vendor choice, and is more interested in results than personal preferences. Understanding and knowledge of an Agile system development life cycle methodology (such as Scrum at Scale, SAFe, Kanban, etc.). Trusted and respected as a thought leader who can influence and persuade business and IT leaders and IT development teams. Ability to understand the long-term ("big picture") and short-term perspectives of situations and how they relate to achieving targeted business outcomes. Ability to estimate the financial impact of technology alternatives. Ability to quickly comprehend the functions and capabilities of existing, new and emerging technologies that enable and drive new business designs and models. Medline Industries, LP, and its subsidiaries, offer a competitive total rewards package, continuing education & training, and tremendous potential with a growing worldwide organization. The anticipated salary range for this position: $132,600.00 - $199,160.00 Annual The actual salary will vary based on applicant's location, education, experience, skills, and abilities. This role is bonus and/or incentive eligible. Medline will not pay less than the applicable minimum wage or salary threshold. Our benefit package includes health insurance, life and disability, 401(k) contributions, paid time off, etc., for employees working 30 or more hours per week on average. For a more comprehensive list of our benefits please click here . For roles where employees work less than 30 hours per week, benefits include 401(k) contributions as well as access to the Employee Assistance Program, Employee Resource Groups and the Employee Service Corp. We're dedicated to creating a Medline where everyone feels they belong and can grow their career. We strive to do this by seeking diversity in all forms, acting inclusively, and ensuring that people have tools and resources to perform at their best. Explore our Belonging page here . Medline Industries, LP is an equal opportunity employer. Medline evaluates qualified individuals without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, neurodivergence, protected veteran status, marital or family status, caregiver responsibilities, genetic information, or any other characteristic protected by applicable federal, state, or local laws.

Senior Technology Development Operations ManagerCooley is seeking a Senior DevOps Manager to join the Infrastructure & Development Operations team.Position summary: The Senior Technology Development Operations (DevOps)Manageris responsible for leading the team thatdesigns, architects,deploys, tests,maintains,and documents the DevOps technology stack. This stack is responsible for facilitating a secure, CI/CD-enabled, and highly availableSaaS-baseddelivery and hosting environment for Cooley's custom applications. The Senior DevOps Manager will build and deploy green-field solutions where needed, and otherwise willprimarilywork to improve theefficiency,security,and availability/reliability of the enterprise DevOps and related infrastructure. This role will workin an integrated fashion with the development teams to build in-depth knowledge of the products and code, attending daily stand-ups as needed. In addition to being technically advanced, this position will use a high degree of emotional intelligence and the ability to work as a team towards complex and layered objectives. Specific duties and responsibilities include, but are not limited to, the following:Position responsibilities: Provide experienced leadership in developing solutions for highly scalable, highly available, hybrid cloud (IaaS, PaaS, SaaS) infrastructure patterns and platform integrations across physical colocations and hyperscalers (AWS and Azure) Manage, build, configure, administer, operate, and maintain all components that comprise our DevOps environment Leverage industry standard Frameworks and Blueprints as a foundation to create best-in-class Terraform IaC module libraries Lead the evolution of our DevOps and DevSecOps practice maturity Act as a key member of the infrastructure architecture team to identify optimization opportunities throughout the infrastructure Define, document, and enforce configuration standards and governance through IaC Develop, test, deploy, and optimize DevOps IaC code deployment pipelines and practices Provision automation using CI/CD (DevOps Pipelines) and IaC (Terraform) tooling Serve as a technical escalation point Work with our development and data teams to integrate products into a DevOps-managed environment Develop and maintain scripts to automate tool/service deployments to our Hybrid Cloud environment through DevOps Pipelines and Releases Participate in software releases and deployments Contribute to the design, update, refinement, and documentation of operational processes Provide technical mentorship and educate team members as a subject matter expert on IaC, containerization, and CI/CD Brainstorm new ideas and ways to improve product delivery and efficiency Consult peer teams for feedback during the design, testing, and implementation stages Serve as direct supervisor and mentor to direct reports Provide day-to-day supervision of direct reports, ensure compliance with assigned work hours and monitor for compliance with all firm and department policies. Manage staffing coverage, review and process time logs/time off requests Support business professional development and continued educational opportunities In collaboration with immediate supervisor and HR, participate in hiring, performance appraisals, counseling, termination and other employee lifecycle events All other duties as assigned or requiredSkills and experience:Required: After orientation at Cooley LLP, exhibit proficiency in the Microsoft Office suite, iManage and other firm applications Ability to work extended and/or weekend hours, as required Ability to travel, as required 7+ years of relevant experience in cloud infrastructure and DevOps with 2+ years of exempt/management experience in relevant roles Proficiency in AWS or Azure architecture, configuration, and security Skilled in CI/CD pipeline design using Azure DevOps, Jenkins, or GitHub Actions Strong Terraform expertise, including advanced workflows and tools like Terragrunt Experience with Docker, Kubernetes, Helm, and GitOps tools (Flux, ArgoCD) Familiarity with microservices deployment and release automation Hands-on with .NET Core containers on Linux and scripting in Linux/Windows Knowledge of open-source and NoSQL databases (e.g., MS SQL, MongoDB, Elasticsearch) Experience with APM tools (Datadog, New Relic, etc.) and IaC security tools (Snyk, tfsec)Preferred: Bachelor's Degree in Computer Science, Information Technology, Engineering, or associated discipline Experience working with advanced ETL data workflows including technologies such as AWS EMR, Azure Synapse, Azure Data Factory, or Apache Hive/Spark/Airflow Supervisory experience Experience with IaC deployment of AKS/EKS/GKE architecture is highly desired Experience with enterprise Data Lake environments using technologies such as DataBricks or SnowflakeCompetencies: Expert analytical/quantitative, problem-solving, and deductive reasoning skills, with experience performing advanced troubleshooting and root cause analysis of complex technical issues Excellent organizational, planning, and time management skills and ability to work either independently or in a team environment to manage competing priorities and meet deadlines Advanced verbal and written communication skills with the ability to present findings, conclusions, alternatives, and information clearly and concisely Experience working with all levels of staff, management, stakeholders, and vendors with ability to build effective relationships through trust and diplomacyCooley offers a competitive compensation and excellent benefits package and is committed to fair and equitable employment practices.EOE.The expected annual pay range for this position with a full-time schedule is $180,000 - $255,000. Please note that final offer amount will be dependent on geographic location, applicable experience and skillset of the candidate.We offer a full range of elective benefits including medical, health savings account (with applicable medical plan), dental, vision, health and/or dependent care flexible spending accounts, pre-tax commuter benefits, life insurance, AD&D, long-term care coverage, backup care for children and/or adults and other parental support benefits. In addition to elective benefit options, benefited employees receive firm-paid life insurance, AD&D, LTD, short term medical benefits as well as 21 days of Paid Time Off ("PTO") and 10 paid holidays each year. We provide generous parental leave and fertility benefits. New employees will attend a detailed benefit orientation to learn more about our many benefits and resources.

Sr Application Developer ( Senior Full Stack Developer) Who We Are: The Iowa Farm Bureau Federation (IFBF) is committed to the people, progress, and pride of Iowa. IFBF is Iowa's largest farm organization, established in 1918. We remain a statewide, non-profit, grassroots farm organization dedicated to creating a vibrant future for agriculture, farm families, and rural communities. The Information Resources department is responsible for creating systems to manage memberships and support the ongoing business of Iowa Farm Bureau. What You'll Do: We are seeking an experienced and skilled Senior Full Stack Developer with expertise in Azure, C#, .NET, SQL, API integration, and frontend development frameworks like Angular. As a senior developer, you will play a pivotal role in designing, developing, and deploying scalable web applications and cloud-based solutions that support our business needs. You will work closely with cross-functional teams to ensure our applications are secure, high-performing, and user-friendly, utilizing best practices in cloud architecture, API management, and identity management via Azure Entra ID. You will also: • Architect, design, and develop full stack applications and APIs using C#, .NET, SQL, and Angular for both internal and external-facing applications. • Leverage Azure cloud services, including Azure App Services, Azure Functions, Azure SQL, and Azure Storage, to build scalable, reliable applications. Develop, deploy, and manage RESTful APIs that enable data and functionality sharing across platforms, ensuring optimal performance and scalability. Implement authentication and authorization using Azure Entra ID, including single sign-on, multi-factor authentication, and role-based access control (RBAC). Work with SQL Server and other database systems to design schemas, optimize queries, and manage database performance. Build and maintain user interfaces using Angular and other frontend frameworks, ensuring a responsive, consistent, and user-friendly experience. Ensure the quality and reliability of code through best practices, including unit testing, integration testing, code reviews, and adherence to coding standards. Provide comprehensive documentation for applications, APIs, and systems architecture; support troubleshooting and performance optimization as needed. Mentor junior developers, participate in code reviews, and collaborate with cross-functional teams to align technology solutions with business goals. What It Takes to Join Our Team: • Bachelor's degree in Computer Science, Information Technology, or related field. • 5+ years of experience in full stack development withy a focus on Azure, C#, .NET, and Angular. • Strong proficiency in C#, .NET, Azure, SQL, API Design, Angular and Azure Entra ID required. • Strong analytical and problem-solving skills, with a solution-oriented mindset. • Ability to work both independently and collaboratively in a team environment. • Excellent communication and documentation skills. Experience with DevOps practices and tools, such as Azure DevOps, CI/CD pipelines, and version control (Git) preferred. Familiarity with containerization (Docker) and orchestration (Kubernetes) in the Azure ecosystem preferred. Experience in optimizing cloud architecture for cost-effectiveness and scalability preferred. What We Offer You: When you're on our team, you get more than a great paycheck. You'll hear about career development and educational opportunities. We offer an enhanced 401K with a match, a defined benefit plan, low-cost health, dental, and vision benefits, and life and disability insurance options. We also offer paid time off, including holidays and volunteer time, and teams who know how to have fun. Add to that an onsite wellness facility with fitness classes and programs, a daycare center, and a cafeteria. Iowa Farm Bureau where the grass really IS greener! Work Authorization/Sponsorship: Applicants must be currently authorized to work in the United States on a full-time basis. We are not able to sponsor now or in the future, or take over sponsorship of, an employment visa or work authorization for this role. For example, we are not able to sponsor OPT status

Senior Data Engineer Needed - $225K-$300K - Supply Chain Software Pioneer This Jobot Job is hosted by: Steven Zacharias Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $225,000 - $300,000 per year A bit about us: We are a growing software development firm that's looking for a seasoned Data Engineer! If interested, please apply or email me your resume directly at - Why join us? $225,000-$300,000 Base Salary Health / Dental / Vision 401k w/ employer match PTO Job Details Scope of Responsibilities: Data ingestion pipelines for existing and new data sources (both batch and real-time streaming) Experience with all forms of multi-modal data types Monitoring frameworks to protect data quality and consistency Data modeling design and data architecture skills to support reporting and analytics requirements Experience in the latest generation of data lake architectures, stream and batch processing, and managed cloud services to support scale. Qualifications Degree in Computer Science, Mathematics, Statistics, or other data-intensive discipline with substantive engineering experience. 5+ years demonstrated development experience using SQL, Scala, Spark, Flink, Beam, and/or Python 5+ years demonstrated experience in data management (structured and unstructured) and modern database technologies Demonstrated experience developing data pipelines to support machine learning, LLMs or other analytical solutions Experience working with multi-cloud providers such as AWS and Azure Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

Were Hiring: Dotnet Senior Architect Location: Onsite Chicago Engagement: FTE / Contract / C2H Rate: $70/hr or $130K annually Shift: Day Visa: No H1B Profiles: Max 20 years of experience Educational Qualification B.Tech or Equivalent Experience Range 18+ years overall experience 8+ years in an architectural role Primary Skills (Must Have TA Screening) 18+ years in web application development (C#, ASP.NET, Web API, .NET Core/Framework) 12+ years in Angular or React 6+ years in Cloud (Azure or GCP) 4+ years in Microservices 10+ years in NUnit 8+ years in Design Patterns 14+ years with relational & NoSQL databases (SQL Server, PostgreSQL, Cosmos DB) 6+ years defining, designing, developing, and deploying web apps on Azure Job Responsibilities (RNR Technical Panel Evaluation) Lead architectural design & development of .NET applications (scalability, performance, security Design & implement cloud architectures on Azure (App Services, Functions, SQL DB, AKS Develop & promote microservices-based solutions. Drive application modernization, legacy transformation, and cloud adoption. Apply design patterns effectively. Oversee RESTful API design & implementation. Translate business requirements into technical solutions with product & customer teams. Provide technical guidance & mentorship to development teams. Establish architectural standards, coding practices, and security protocols. Stay updated with emerging technologies. Lead teams with strong communication & mentoring skills. Implement performance, security, and scalability best practices. Optimize performance (code, caching, DB indexing Collaborate with UX/UI designers & product teams. Conduct code reviews & enforce standards. Manage relational & NoSQL databases. Work with HTML5, CSS3, jQuery, JSON, Bootstrap. Apply software design principles & patterns. 5+ years in unit testing (xUnit, NUnit Deep understanding of architecture patterns. Excellent communication skills. Collaborate effectively onsite with client & offshore teams. Soft Skills (Hiring Manager Evaluation) Strong oral, written & presentation skills Ability to align technical decisions with business goals Confident in architectural decision-making Strong interpersonal & relationship-building skills Constructive feedback culture in code reviews Organization, collaboration & time management skills Analytical mindset with proactive problem-solving Expected Outcome We are seeking a highly skilled Technical Architect with hands-on expertise in the .NET stack to lead end-to-end architecture for alegal domain project. The ideal candidate will design scalable, secure, performance-optimized solutions usingC#, ASP.NET, Web API, .NET Core/Framework, Angular/React, NUnit, and Azure. This role requires strong collaboration onsite with product owners, BAs, and cross-functional teams to translate complex business requirements into robust technical designs. You will establish governance models, conduct design reviews, and ensure adherence to architectural standards. Apply Now Interested candidates can send their resumes to:

Job Title: Data Infrastructure Engineer Location: Kennesaw, Georgia Regular/Temporary: Regular Full/Part Time: Full-Time Job ID: 292336 About Us Are you ready to transform lives through academic excellence, innovative research, strong community partnerships and economic opportunity? Kennesaw State University is one of the 50 largest public institutions in the country. With growing enrollment and global reach, we continue to expand our institutional influence and prominence beyond the state of Georgia. We offer more than 190 undergraduate, graduate, and doctoral degrees to empower our 47,000 students to become thought leaders, lifelong learners, and informed global citizens. Our entrepreneurial spirit, high-impact research, and Division I athletics draw students from throughout the region and from more than 100 countries across the globe. Our university's vibrant culture, career opportunities, rich benefits, and values of respect, integrity, collaboration, inclusivity, and accountability make us an employer of choice. We are part of the University System of Georgia . We are searching for talented people to join Kennesaw State University in our vision . Come Take Flight at KSU! Location (Primary Location for Job Responsibilities) Our Kennesaw campus is located at 1000 Chastain Road NW, Kennesaw, GA 30144. Our Marietta campus is located at 1100 South Marietta Parkway, Marietta, GA 30060. Job Summary Focuses on building and maintaining the data infrastructure including the extraction, loading, and staging of data from various data sources, both on-premises or in the cloud. Ensures the seamless and secure transfer of data, optimizing for performance, integration and reliability to enable subsequent data transformation and modeling processes for enterprise reporting and analytics. Responsibilities KEY RESPONSIBILITIES: 1. Develops, tests, and implements data pipelines to efficiently, securely, and reliably ingest data from various data sources into the enterprise data lake or data warehouse 2. Collaborates with data architects and data source SMEs to understand requirements and designs data pipelines accordingly 3. Develops and maintains robust data integrity checks, ensuring data accuracy, timeliness, and consistency 4. Utilizes cloud tools and custom scripts for validation, set up automated anomaly detection, and collaborates with stakeholders to align quality checks with data requirements 5. Enables integration of data from various data sources, such as databases, cloud services and APIs, to facilitate seamless data flow for enterprise and self-service reporting and analytics 6. Monitors and optimizes data pipelines, identifies and troubleshoots issues using tools such as Azure Monitor or similar system 7. Implements automated alerts and collaborates with architects to adopt best practices in pipeline design for enhanced performance 8. Maintains compliance with data security policies and regulations in the data infrastructure 9. Implements encryption, manage access controls, conduct security audits, and stay updated with security best practices to safeguard data integrity and privacy 10. Manages the storage structure within the data lake or data warehouse, optimizing resource utilization and ensuring efficient integration with data transformation and modeling processes 11. Supports senior technical staff in project planning and the development of standard operating procedures 12. Contributes to the establishment of best practices, ensuring project alignment with technical standards and organizational goals 13. Creates and regularly updates technical documentation for data pipeline processes 14. Ensures clear, comprehensive, and accessible documentation is available, covering all aspects of pipeline design, operation, and maintenance Required Qualifications Educational Requirements High school diploma or equivalent Required Experience Five (5) years of related IT experience. Preferred Qualifications Preferred Educational Qualifications An undergraduate or advanced degree from an accredited institution of higher education in Computer Science, Information Systems, Business Administration or related field Preferred Experience Experience working with reporting tools such as Power BI, Tableau, etc. Previous work experience in Higher Education Knowledge, Skills, & Abilities ABILITIES Commitment to continuous learning and staying updated with the latest trends and best practices in data engineering Able to handle multiple tasks or projects at one time meeting assigned deadlines KNOWLEDGE Familiarity with data protection and privacy laws and regulations (i.e., FERPA, HIPAA, etc.) Knowledge of various file formats used in data storage, like parquet, avro, csv, etc., and their implications on performance and storage Understanding of cloud storage services, such as blob storage, data lakes, data lakehouses, and data warehouses Understanding of data warehouse architecture patterns (e.g., Medallion Architecture, OBT, Materialized View Pattern, Star-Schema, etc.) Knowledge of data warehousing principles, including data quality, data enrichment and standardization, and data modeling. Knowledge of data warehouse architecture patterns, such as star schema, One Big Table (OBT), materialized view architecture, etc. Knowledge of best practices in data pipelines orchestration Knowledge of data security practices, including encryption/decryption, and compliance with data governance policies and guidelines SKILLS Excellent interpersonal, initiative, teamwork, problem solving, independent judgment, organization, communication (verbal and written), time management, project management and presentation skills Demonstrated skills in relational databases (e.g., SQL Server, Oracle, MySQL, etc.) Demonstrated skills in data engineering tools (e.g., Azure Data Factory, SSIS, Informatica, Pentaho, Oracle Data Integrator, etc.) Skills in identifying bottlenecks in data pipelines and optimizing for efficiency and scalability Skills in developing efficient and scalable data ingestion pipelines between cloud-based and on-premises data sources and destinations Proficient with computer applications and programs associated with the position (i.e., Microsoft Office suite and other collaboration tools) Proficiency with SQL and its variants (e.g., PL/SQL, T-SQL, etc.) Proficiency in programming/scripting languages (e.g., Python, Java, PowerShell, etc.) Proficiency in data engineering technologies and tools (e.g., Azure Data Factory, Apache Spark, Azure Synapse Analytics, Python, Airflow, etc.) Strong attention to detail and organization skills Strong customer service skills and phone and email etiquette USG Core Values The University System of Georgia is comprised of our 26 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found on-line at . Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found on-line at . Equal Employment Opportunity Kennesaw State University is an Equal Employment Opportunity Employer. The University is committed to maintaining a fair and respectful environment for living, work and study. To that end, and in accordance with federal and state law, Board of Regents policy, and University policy, the University prohibits harassment of or discrimination against any person because of race, color, sex (including sexual harassment, pregnancy, and medical conditions related to pregnancy), sexual orientation, gender identity, gender expression, ethnicity or national origin, religion, age, genetic information, disability, or veteran or military status by any member of the KSU Community on campus, in connection with a University program or activity, or in a manner that creates a hostile environment for members of the KSU community. For additional information on this policy, or to file a complaint under the provisions of this policy, students, employees, applicants for employment or admission or other third parties should contact the Office of Institutional Equity at English Building, Suite 225, . Other Information This is not a supervisory position. This position does not have any financial responsibilities. This position will not be required to drive. This role is considered a position of trust. This position does not require a purchasing card (P-Card). This position may travel 1% - 24% of the time This position does not require security clearance. Background Check Credit Report Standard Enhanced Per the University System of Georgia background check policy, all final candidates will be required to consent to a criminal background investigation. Final candidates may be asked to disclose criminal record history during the initial screening process and prior to a conditional offer of employment. Applicants for positions of trust with screening . click apply for full job details

Posting date: 10/17/2025 Open Until Filled: Yes Position Number: Position Title: Software Engineer Hiring Range Minimum: $101,500 Hiring Range Maximum: $119,000 Union Type: Not a Union Position SEIU Level: Not an SEIU Position FLSA Status: Exempt Employment Category: Regular Full Time Scheduled Months per Year: 12 Scheduled Hours per Week: 40 Schedule: Join us at our convenient location at 41 Centerra Parkway in Lebanon, NH, where you'll find a perfect balance of on-site engagement and remote flexibility. This position is part of a team that primarily works remotely but values intentional onsite engagement. Depending upon projects, you could be in the office daily for a period, or it could be 1-2 days in a month. When onsite, you will typically work out of 41 Centerra Parkway in Lebanon, NH where nearly 80 of your colleagues in Advancement have office space. Periodically, meetings are held in Hanover or on the Dartmouth campus, which is 3 miles from the Centerra Parkway location. Living within commutable distance to Hanover, NH, is preferred, allowing you to integrate smoothly into our team and community. Location of Position: Lebanon, NH 03766 41 Centerra Parkway Remote Work Eligibility?: Hybrid Is this a term position?: No Is this a grant funded position?: No Position Purpose: The Software Engineer for Advancement is a full-stack developer who designs, develops, tests, and maintains software applications that advance the mission of Dartmouth's Advancement division. This role requires a strong combination of technical expertise across multiple platforms and programming languages, alongside a deep understanding of our business objectives. The successful candidate will apply both business acumen and technical skills to deliver high-quality, maintainable solutions within an agile team environment This role independently executes moderate to complex technical work and actively contributes to team-based architecture and implementation efforts. The Software Engineer collaborates with teammates, clients, vendors, and campus partners to develop custom applications, enhance vendor systems, and support integrations that connect Advancement systems to broader institutional platforms. This includes involvement in system design, database development, API creation and consumption, testing, and support for both on-premise and cloud-based solutions. The role also supports deployment automation, infrastructure maintenance, and DevOps practices in partnership with more senior team members. Strong analytical, problem-solving, and communication skills are essential for working effectively within a cross-functional team. The Software Engineer contributes to team growth through knowledge sharing, code review participation, and process improvement efforts. Description: Are you a full-stack developer passionate about purpose-driven technology? Dartmouth's Advancement Systems and Services team is looking for two Software Engineers to help design and build innovative solutions that support our institutional mission. We are looking to hire two talented individuals into this role. Make an impact. Grow your skills. Join a team that values innovation, collaboration, and team engagement. Required Qualifications - Education and Yrs Exp: Bachelor's degree Required Qualifications - Skills, Knowledge and Abilities: Bachelor's degree in Computer Science or a related field 5-8 years of professional software engineering experience Demonstrated experience in: Full-stack application development Oracle PL/SQL, SQL, APEX, with proven ability to develop and manage complex queries and manage data migrations, administer, navigate and manage multiple schemas, data replication, backup/recovery, troubleshooting, development, and performance tuning in complex, consolidated Oracle environment One or more programming languages (e.g., Python, JavaScript, Java, C#) Front-end development (HTML, CSS, JavaScript) RESTful APIs and system integration Version control (Git, SVN), release pipelines, and collaborative development workflows Working with and troubleshooting internet communication components, such as DNS, DNAME, SMTP with a solid understanding of security certificates (SSL/TLS) and other authentication methods and encryption that ensure compliance with privacy regulations Familiarity with DevOps principles and CI/CD tools Strong problem-solving, communication, and teamwork skills Ability to work independently on technical tasks and contribute to team solutions Preferred Qualifications: Experience with vendor system integration and support of ERP platforms (e.g., Advancement, SIS, Finance, HR) Familiarity with data governance, privacy, and compliance standards (e.g., FERPA, HIPAA, GDPR) Knowledge of cloud platforms (AWS, Azure, or GCP), containerization (Docker, Kubernetes) Exposure to Agile development methodologies and tools Understanding of institutional workflows in higher education Strong knowledge and practical experience in database administration tasks Proficiency in application upgrade, cloning, and installation procedures Department Contact for Recruitment Inquiries: Lesa Knapp Department Contact Phone Number: Department Contact for Cover Letter and Title: Lesa Knapp, Assistant Vice President for Advancement Administration Department Contact's Phone Number: Equal Opportunity Employer: Dartmouth College is an equal opportunity employer under federal law. We prohibit discrimination on the basis of race, color, religion, sex, age, national origin, sexual orientation, gender identity or expression, disability, veteran status, marital status, or any other legally protected status. Applications are welcome from all. Background Check: Employment in this position is contingent upon consent to and successful completion of a pre-employment background check, which may include a criminal background check, reference checks, verification of work history, conduct review, and verification of any required academic credentials, licenses, and/or certifications, with results acceptable to Dartmouth College. A criminal conviction will not automatically disqualify an applicant from employment. Background check information will be used in a confidential, non-discriminatory manner consistent with state and federal law. Is driving a vehicle (e.g. Dartmouth vehicle or off road vehicle, rental car, personal car) an essential function of this job?: Not an essential function Special Instructions to Applicants: Dartmouth College has a Tobacco-Free Policy. Smoking and the use of tobacco-based products (including smokeless tobacco) are prohibited in all facilities, grounds, vehicles or other areas owned, operated or occupied by Dartmouth College with no exceptions. For details, please see our policy. Additional Instructions: This position is not visa sponsorship eligible. Quick Link: Description: Software Development Designs, develops, tests, and maintains custom software solutions that meet user needs and align with institutional standards. Translates technical requirements into functional software components. Participates in solution design and architecture discussions, contributing to decisions on system structure, integration approaches, and performance optimization. Develops and consumes APIs and web services for system interoperability. Maintains and enhances database-driven applications using tools such as Oracle PL/SQL and APEX. Implements unit testing, automated testing frameworks, and follows version control and release management best practices. Participates in infrastructure and application support for both on-premises and cloud environments. Collaborates on deployments and contributes to automation and DevOps workflows. Collaborates on teams and leads team initiatives. Develops and enhances documentation supporting systems, integrations, and processes, contributing to a shared knowledge base that informs the work of Advancement Systems and Services. Percentage Of Time: 60 Description: Collaboration and Client Support Works closely with team members to complete tasks aligned to team goals and delivery timelines. Partners with stakeholders to understand business needs, clarify requirements, and deliver value through technical solutions. Supports vendor system implementations and integrations; engages with vendors on issue resolution. Maintains strong working relationships with functional teams, end users, and other IT professionals across the institution. Percentage Of Time: 20 Description: Team Engagement and Continuous Learning Participates in agile ceremonies, sprint planning, retrospectives, and team-based prioritization. Shares technical knowledge through documentation, code reviews, cross training, and informal mentoring of colleagues. Engages in continuous professional development to stay current with tools, languages, frameworks . click apply for full job details

Job Summary The Director Enterprise Infrastructure is a senior technology leader accountable for the strategy, delivery, and continual improvement of enterprise infrastructure services and the global Service Desk. This role owns the infrastructure product portfolio (e.g., network, compute, storage, identity, endpoint, collaboration, and core platforms) and ITSM tooling (e.g., Service Management platform, knowledge, CMDB/asset, automation). The director's mandate is to improve service delivery to peer IT teams (Architecture, Security, Applications, Data, and Business Technology) and to ensure the Service Desk is modern, omnichannel, and consistently exceeding customer expectations-for both internal associates and external customers/partners. Job Description MAJOR RESPONSIBILITIES Define the multi year infrastructure services and platform strategy, aligning to enterprise objectives, budgets, risk posture, and architecture standards; translate strategy into a quarterly roadmap with measurable outcomes and published scorecards. Build and lead high performing teams across Service Desk, Infrastructure Product Management/Engineering, and ITSM Tooling & Process; develop leader bench strength and succession plans. Establish a culture of operational excellence, data driven decision making, SRE/ITIL practices, and customer empathy; champion diversity, inclusion, and talent development. Own the product lifecycle (vision, roadmaps, backlogs, SLOs/SLAs, cost models) for core infrastructure products (network, compute, storage, identity, endpoint, collaboration, platform services). Drive standardization, reliability, security, and cost efficiency. Lead a modern, omnichannel Service Desk (portal, chat/virtual agent, voice, walk up) with shift left and knowledge centered service (KCS) to maximize first contact resolution and self service adoption. Define and manage XLAs (experience level agreements) alongside SLAs to capture customer sentiment, journey friction, and outcome quality; publish transparent dashboards. Integrate Service Desk with observability/AIOps and problem management to shrink MTTR, reduce repeat incidents, and prevent recurrences Ensure an accurate, auditable CMDB/asset with service mapping that supports impact analysis, DR/runbooks, and control/compliance needs Own budgets, forecasts, and run rate transparency for infrastructure services; optimize total cost of ownership through consumption management, capacity planning, and contract negotiations. Establish outcome based vendor scorecards aligned to SLOs/XLAs and continuous improvement targets. Global Scope: Cross time zone collaboration; occasional after hours releases for infrastructure changes; periodic travel to major sites, data centers, and vendor engagements. MINIMUM JOB REQUIREMENTS Education Bachelor's in Computer Science, Information Systems, Engineering, or equivalent experience. Work Experience 5+ years in infrastructure operations or related role 3+ years managing multi-disciplinary teams Knowledge / Skills / Abilities Expertise in ITSM practices, operational excellence, and modern platform engineering (Infrastructure as code, configuration/policy as code, pipelines). Strong command of service metrics and financial management (TCO, forecasting, show back/chargeback). Customer obsessed service mindset with proven use of Experience Level Agreement (XLA) alongside SLAs; ability to translate customer journey pain points into platform and process changes. ITSM product ownership: service catalog design, request workflows, automation/orchestration, knowledge management, incident/major incident governance, problem/change excellence, and asset/CMDB health metrics. Data driven ops: build and publish operational scorecards (availability, change success rate, patch/compliance, cost per ticket, contact rate, backlog health) and OKR alignment for peer IT teams. AI for ITSM literacy and self service design to reduce live contact while elevating experience. Change leadership: org design, talent development, building a manager of managers bench, and fostering a culture of blameless post incident learning. Communication & executive presence: crisp incident/executive communications, storytelling with metrics, and stakeholder management across Architecture, Security, Applications, Data, and Business Technology. Vendor management, contract negotiation, and license optimization experience. Excellent leadership, communication, and stakeholder management across executive, technical, and frontline audiences. Metric-driven mindset and data / analytical tools such as databases and report development. Experience directing both onshore and offshore teams. Basic understanding of financial and revenue models. Strong prioritizing, interpersonal, problem-solving, project management (from conception to completion), & planning skills. Strong verbal and written communication skills. Ability to work in a fast-paced and deadline-oriented environment. Self-motivated with critical attention to detail, deadlines, and reporting. PREFERRED JOB REQUIREMENTS Education Advanced degree in Computer Science or related field Certification / Licensure Azure Fundamentals, ITIL v4 Knowledge / Skills / Abilities Experience managing million-dollar+ annual budget and forecasting activities over several years Experience operating in hybrid cloud environments and driving self service platform adoption at scale. Demonstrated success running internal platforms as products (roadmaps, backlog, service catalog, and stakeholder outcomes. Track record modernizing the Service Desk (omnichannel-phone, chat, portal, virtual agents), shift left, knowledge management; measurable gains in common service desk KPIs: first call resolution, customer satisfaction, etc. Medline Industries, LP, and its subsidiaries, offer a competitive total rewards package, continuing education & training, and tremendous potential with a growing worldwide organization. The anticipated salary range for this position: $175,760.00 - $263,640.00 Annual The actual salary will vary based on applicant's location, education, experience, skills, and abilities. This role is bonus and/or incentive eligible. Medline will not pay less than the applicable minimum wage or salary threshold. Our benefit package includes health insurance, life and disability, 401(k) contributions, paid time off, etc., for employees working 30 or more hours per week on average. For a more comprehensive list of our benefits please click here . For roles where employees work less than 30 hours per week, benefits include 401(k) contributions as well as access to the Employee Assistance Program, Employee Resource Groups and the Employee Service Corp. We're dedicated to creating a Medline where everyone feels they belong and can grow their career. We strive to do this by seeking diversity in all forms, acting inclusively, and ensuring that people have tools and resources to perform at their best. Explore our Belonging page here . Medline Industries, LP is an equal opportunity employer. Medline evaluates qualified individuals without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, neurodivergence, protected veteran status, marital or family status, caregiver responsibilities, genetic information, or any other characteristic protected by applicable federal, state, or local laws.

Capgemini Government Solutions (CGS) LLC is seeking highly motivated and experienced Azure Cloud - Senior Database Architect to join our team to support our client in a secure environment. The Database Cloud Architect will have extensive experience in cloud architecture, specifically in cloud database products and the platforms they integrate, with a deep understanding of cloud computing technologies and services. As a Database Architect, you will be responsible for leading the design, implementation, and maintenance of Azure-compatible databases, ensuring scalability, reliability, security design, implementation of complex cloud solutions, application and storage integration and providing technical guidance to other architects and engineers. The role will involve design, build out and integration of including migrating from on-prem or legacy cloud implementations to a secure cloud environment. The role will involve leading in a fast-paced environment, while rapidly and thoroughly assessing primary and target infrastructure to ensure that the target environment supports current and future applications while being secure, reliable and scalable. The successful applicant will have an opportunity to apply and grow their skills, work with a motivated and entrepreneurial team, engage with a wide range of collaborators and build CGS' capabilities by serving our clients. Job Responsibilities: As a Database Cloud Architect, you will be responsible for the following: Leading the design, implementation, and maintenance of complex cloud and cloud infrastructure solutions that meet Government requirements. Develop and implement relational/non-relational databases and database services based on best practices. Ensure that database design and implementation is scalable, reliable, and secure. Ensure that database design is compliant with classified infrastructure requirements Provide subject matter expertise and hands-on experience in database design, solutioning, implementation, and troubleshooting activities. Expertise in creating, implementing and maintaining Extract Transform and Load (ETL) processes in various environments. Experience leading large scale cloud migrations Implement and maintain monitoring and logging solutions to detect and diagnose issues in the cloud infrastructure and software applications. Provide technical guidance and mentorship to other architects and engineers. Evaluate new cloud technologies and common services and make recommendations for their use. Expertise with Terraform, ARM, Ansible, PowerShell, Bash, and Python. Expertise with containerized application and orchestration Collaborate with multi-functional teams to design and implement scalable, secure, reliable cloud-based solutions. Ensure compliance with security and regulatory requirements. Familiarity with DOD STIG compliance Develop and maintain documentation related to cloud architecture solutions Required Qualifications: US Citizenship is required Must Active Top-Secret Clearance or higher Bachelor's degree in information technology, Computer Science, or related field. Minimum of 8 years of experience working in complex cloud IT/Infrastructure environments Extensive experience in cloud architecture, specifically Infrastructure as a Service (IaaS) products with a deep understanding of cloud computing technologies and services Experience working with DOD or other Federal Government environment Must have active Azure Solution Architect certification Desired Qualifications: Active Certification: Azure Data, Oracle Data Experience with Platform as a Service (PaaS) environment and tooling Ability to prioritize and display a high level of adaptability/flexibility while handling job responsibilities Excellent communication and facilitation skills, think creatively/about the big picture, and dedicated (do-er) Ability to operate in a fast-paced environment and provide hands-on technical support. OS: Linux (RHEL Oracle), Windows (10,11, Servers ) Experience with automated testing tools (pytest, unittest, Selenium, Postman, Terratest) About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion. Get The Future You Want Disclaimer All qualified applicants will be considered for employment based on their skills, and merit. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini. Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is 110k-135k. This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities 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.

Senior Software Engineer, Back End (Global Payment Network) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. We are seeking Back End Software Engineers who are passionate about marrying data with emerging technologies. As a Capital One Software Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. What You'll Do: Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services Basic Qualifications: Bachelor's Degree At least 3 years of professional software engineering experience (Internship experience does not apply) Preferred Qualifications: 5+ years of experience in at least one of the following: Java, Scala, Python, Go, or Node.js 1+ years of experience with AWS, GCP, Azure, or another cloud service 3+ years of experience in open source frameworks 2+ years of experience in Agile practices 3+ years of experience with Test Automation. 2+ Years of Experience with testing and implementing API service architecture using Spring Boot, Java, Junit, Cucumber, Gherkin, Gatling, Xray or Pact Testing 1+ Year of experience with DevOps and building tools using Jenkins CI/CD, Gradle, Github, Nexus, and SonarQube At this time, Capital One will n ot 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. McLean, VA: $158,600 - $181,000 for Senior Software Engineer Riverwoods, IL: $144,200 - $164,600 for Senior Software Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Software Engineer, Back End (Global Payment Network) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. We are seeking Back End Software Engineers who are passionate about marrying data with emerging technologies. As a Capital One Software Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. What You'll Do: Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services Basic Qualifications: Bachelor's Degree At least 3 years of professional software engineering experience (Internship experience does not apply) Preferred Qualifications: 5+ years of experience in at least one of the following: Java, Scala, Python, Go, or Node.js 1+ years of experience with AWS, GCP, Azure, or another cloud service 3+ years of experience in open source frameworks 2+ years of experience in Agile practices 3+ years of experience with Test Automation. 2+ Years of Experience with testing and implementing API service architecture using Spring Boot, Java, Junit, Cucumber, Gherkin, Gatling, Xray or Pact Testing 1+ Year of experience with DevOps and building tools using Jenkins CI/CD, Gradle, Github, Nexus, and SonarQube At this time, Capital One will n ot 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. McLean, VA: $158,600 - $181,000 for Senior Software Engineer Riverwoods, IL: $144,200 - $164,600 for Senior Software Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead Data Engineer (Snowflake, Databricks, Apache Iceberg, Spark + SQL workload optimizations) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Senior Lead Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. What You'll Do: Collaborate with and across Agile teams to design/architect, develop, test, implement, and support technical solutions in full-stack development tools and technologies Lead workload optimization and develop/architect capabilities to drive optimizations at scale (e.g. SQL, Spark optimizations) Lead a team of developers with deep experience in machine learning, distributed microservices, and full stack systems Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift, Snowflake and Databricks Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance Basic Qualifications: Bachelor's Degree At least 6 years of experience in application development (Internship experience does not apply) At least 2 years of experience in big data technologies At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred Qualifications: Master's Degree 4+ years of data warehousing experience ( Snowflake, Databricks, Redshift) 9+ years of experience in application development including Python, SQL, Scala, or Java 2+ years of experience engineering/leveraging Machine Learning & Gen AI capabilities and tools (I ceberg, Delta adoption, Cortext) 5+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 4+ years of experience with AWS cloud services or other public cloud platforms (Microsoft Azure, Google Cloud) 4+ year experience working on large-scale Data Platforms 4+ years of experience with NoSQL implementation (Mongo, Cassandra) 4+ years of experience with UNIX/Linux including basic commands and shell scripting 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: $225,400 - $257,200 for Sr. Lead Data Engineer New York, NY: $245,900 - $280,600 for Sr. Lead Data Engineer Richmond, VA: $204,900 - $233,800 for Sr. Lead Data Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's Degree At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) At least 3 years of experience designing and building data-intensive solutions using distributed computing At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: 1+ years of experience building, scaling, and optimizing ML systems 1+ years of experience with data gathering and preparation for ML models 2+ years of experience developing performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience with distributed file systems or multi-node database paradigms Contributed to open source ML software Authored/co-authored a paper on a ML technique, model, or proof of concept 3+ years of experience building production-ready data pipelines that feed ML models Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance 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. McLean, VA: $158,600 - $181,000 for Senior Machine Learning Engineer New York, NY: $173,000 - $197,400 for Senior Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's degree At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) At least 3 years of experience designing and building data-intensive solutions using distributed computing At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: 1+ years of experience building, scaling, and optimizing ML systems 1+ years of experience with data gathering and preparation for ML models 2+ years of experience developing performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience with distributed file systems or multi-node database paradigms Contributed to open source ML software Authored/co-authored a paper on a ML technique, model, or proof of concept 3+ years of experience building production-ready data pipelines that feed ML models Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance 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. McLean, VA: $158,600 - $181,000 for Senior Machine Learning Engineer Richmond, VA: $144,200 - $164,600 for Senior Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead Data Engineer (Snowflake, Databricks, Apache Iceberg, Spark + SQL workload optimizations) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Senior Lead Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. What You'll Do: Collaborate with and across Agile teams to design/architect, develop, test, implement, and support technical solutions in full-stack development tools and technologies Lead workload optimization and develop/architect capabilities to drive optimizations at scale (e.g. SQL, Spark optimizations) Lead a team of developers with deep experience in machine learning, distributed microservices, and full stack systems Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift, Snowflake and Databricks Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance Basic Qualifications: Bachelor's Degree At least 6 years of experience in application development (Internship experience does not apply) At least 2 years of experience in big data technologies At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred Qualifications: Master's Degree 4+ years of data warehousing experience ( Snowflake, Databricks, Redshift) 9+ years of experience in application development including Python, SQL, Scala, or Java 2+ years of experience engineering/leveraging Machine Learning & Gen AI capabilities and tools (I ceberg, Delta adoption, Cortext) 5+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 4+ years of experience with AWS cloud services or other public cloud platforms (Microsoft Azure, Google Cloud) 4+ year experience working on large-scale Data Platforms 4+ years of experience with NoSQL implementation (Mongo, Cassandra) 4+ years of experience with UNIX/Linux including basic commands and shell scripting 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: $225,400 - $257,200 for Sr. Lead Data Engineer New York, NY: $245,900 - $280,600 for Sr. Lead Data Engineer Richmond, VA: $204,900 - $233,800 for Sr. Lead Data Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Software Engineer, Back End (Global Payment Network) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. We are seeking Back End Software Engineers who are passionate about marrying data with emerging technologies. As a Capital One Software Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. What You'll Do: Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services Basic Qualifications: Bachelor's Degree At least 3 years of professional software engineering experience (Internship experience does not apply) Preferred Qualifications: 5+ years of experience in at least one of the following: Java, Scala, Python, Go, or Node.js 1+ years of experience with AWS, GCP, Azure, or another cloud service 3+ years of experience in open source frameworks 2+ years of experience in Agile practices 3+ years of experience with Test Automation. 2+ Years of Experience with testing and implementing API service architecture using Spring Boot, Java, Junit, Cucumber, Gherkin, Gatling, Xray or Pact Testing 1+ Year of experience with DevOps and building tools using Jenkins CI/CD, Gradle, Github, Nexus, and SonarQube At this time, Capital One will n ot 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. McLean, VA: $158,600 - $181,000 for Senior Software Engineer Riverwoods, IL: $144,200 - $164,600 for Senior Software Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Software Engineer (Go/Java/Python, AWS) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. We are seeking Back End Software Engineers who are passionate about marrying data with emerging technologies. As a Capital One Software Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. Join the Core Modernization Team at Capital One, where we're at the forefront of a multi-year effort to revolutionize our credit card processing systems. We're moving away from legacy mainframes to build a modern, cloud-native platform that will manage the entire credit card lifecycle, from issuance to retirement. This is a critical initiative with a direct impact on our customers, and your work will be central to our success. As a Senior Engineer on our team, you'll be a key driver of this transformation. You'll own the hands-on implementation of complex systems, lead technical decisions, and mentor junior developers. Your work will directly impact the design, architecture, and delivery of our target state solutions, bringing them from concept to production. What You'll Do: Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services Basic Qualifications: Bachelor's Degree At least 3 years of professional software engineering experience (Internship experience does not apply) Preferred Qualifications: 5+ years of experience in at least one of the following: Java, Scala, Python, Go, or Node.js 1+ years of experience with AWS, GCP, Azure, or another cloud service 3+ years of experience in open source frameworks 2+ years of experience in Agile practices 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. Chicago, IL: $144,200 - $164,600 for Senior Software Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead Data Engineer (Snowflake, Databricks, Apache Iceberg, Spark + SQL workload optimizations) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Senior Lead Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. What You'll Do: Collaborate with and across Agile teams to design/architect, develop, test, implement, and support technical solutions in full-stack development tools and technologies Lead workload optimization and develop/architect capabilities to drive optimizations at scale (e.g. SQL, Spark optimizations) Lead a team of developers with deep experience in machine learning, distributed microservices, and full stack systems Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift, Snowflake and Databricks Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance Basic Qualifications: Bachelor's Degree At least 6 years of experience in application development (Internship experience does not apply) At least 2 years of experience in big data technologies At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred Qualifications: Master's Degree 4+ years of data warehousing experience ( Snowflake, Databricks, Redshift) 9+ years of experience in application development including Python, SQL, Scala, or Java 2+ years of experience engineering/leveraging Machine Learning & Gen AI capabilities and tools (I ceberg, Delta adoption, Cortext) 5+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 4+ years of experience with AWS cloud services or other public cloud platforms (Microsoft Azure, Google Cloud) 4+ year experience working on large-scale Data Platforms 4+ years of experience with NoSQL implementation (Mongo, Cassandra) 4+ years of experience with UNIX/Linux including basic commands and shell scripting 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: $225,400 - $257,200 for Sr. Lead Data Engineer New York, NY: $245,900 - $280,600 for Sr. Lead Data Engineer Richmond, VA: $204,900 - $233,800 for Sr. Lead Data Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's Degree At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) At least 3 years of experience designing and building data-intensive solutions using distributed computing At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: 1+ years of experience building, scaling, and optimizing ML systems 1+ years of experience with data gathering and preparation for ML models 2+ years of experience developing performant, resilient, and maintainable code Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience with distributed file systems or multi-node database paradigms Contributed to open source ML software Authored/co-authored a paper on a ML technique, model, or proof of concept 3+ years of experience building production-ready data pipelines that feed ML models Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance 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. McLean, VA: $158,600 - $181,000 for Senior Machine Learning Engineer New York, NY: $173,000 - $197,400 for Senior Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).