Description: GXM Technologies is seeking a Senior Agile Program Integration Lead to support advanced defense and space mission programs requiring disciplined Agile execution, complex systems integration, and enterprise-level delivery synchronization. This role provides senior leadership across multiple technical teams and workstreams, using hands-on Scaled Agile Framework (SAFe) practices to align planning, technical integration, MVP releases, operational milestones, and Initial Operational Capability (IOC) objectives. The ideal candidate combines hands-on SAFe execution with technical program integration, systems engineering awareness, release management, and operational mission delivery. This individual will work with Program Managers, Product and Solution Management, engineers, DevSecOps teams, architects, cybersecurity personnel, test organizations, and Government stakeholders to translate priorities into executable Program Increments and synchronized delivery plans. This role is onsite in Colorado Springs, CO due to operational integration and classified mission requirements. Hybrid flexibility may be available over time based on mission requirements, program execution needs and achievement of objectives. Responsibilities Serve as the senior Agile program integration lead, providing hands-on SAFe execution leadership across multiple technical teams, Agile Release Trains (ARTs), and integrated workstreams. Apply SAFe practices to synchronize systems engineering, software, cloud, cybersecurity, data, DevSecOps, integration, test, and operational mission teams against shared program objectives. Lead and facilitate SAFe planning and synchronization activities, including: Program Increment (PI) Planning and PI execution; ART Sync, Scrum of Scrums, and cross-team coordination; System Demos and Inspect & Adapt events ; Dependency, impediment, and ROAM risk management; MVP, capability release, and integration coordination; Operational milestone and IOC readiness alignment Configure and manage Jira, Confluence, and enterprise Agile planning tools to maintain program backlogs, PI objectives, capabilities and features, dependencies, risks, roadmaps, release plans, and delivery visibility. Develop and maintain integrated roadmaps, delivery schedules, release plans, and milestone artifacts that align SAFe PI cadence and team commitments with the Integrated Master Schedule (IMS), technical baselines, operational events, and IOC objectives. Facilitate cross-team synchronization, decision-making, and issue resolution across technical teams, mission stakeholders, engineering organizations, Government leadership, and delivery partners. Provide hands-on leadership for Agile ceremonies and program-level events, ensuring decisions, dependencies, risks, actions, and commitments are documented and driven to closure. Monitor PI objectives, delivery predictability, flow metrics, risks, dependencies, constraints, and operational impacts; lead mitigation, escalation, and corrective action when delivery is at risk. Provide program leadership with actionable metrics, Jira dashboards, roadmap reporting, PI status, milestone health, dependency visibility, risk trends, and executive-level reporting. Collaborate with Program Managers, Enterprise Architects, Chief Engineers, Product and Solution Management, Technical Leads, cybersecurity teams, and mission stakeholders to align Agile execution with engineering and operational requirements. Drive continuous improvement of SAFe, Lean-Agile, DevSecOps, and delivery management practices appropriate to classified and mission-critical environments. Coordinate configuration management, knowledge management, and documentation alignment so program baselines, Agile artifacts, technical decisions, release content, and delivery evidence remain current and traceable. Lead transition planning, release coordination, capability deployment, and readiness synchronization aligned to mission events, MVP demonstrations, and IOC objectives. Requirements: U.S. Citizen with active TS/SCI clearance. Bachelor's degree in engineering, computer science, information systems, business, program management, or a related discipline; equivalent relevant experience may be considered. 8+ years of experience in Agile delivery, technical program integration, systems integration, release management, software-intensive programs, or operational program execution, including senior responsibility for cross-team delivery. Demonstrated hands-on experience implementing and executing the Scaled Agile Framework (SAFe) in a complex, multi-team technical environment; certification or classroom knowledge alone is not sufficient. Demonstrated experience leading or directly facilitating SAFe program-level activities, including: PI Planning, PI execution, and PI objective management; ART Sync, Scrum of Scrums, and dependency coordination; System Demos, Inspect & Adapt, and continuous improvement activities; ROAM risk management, impediment escalation, and cross-team issue resolution; Release planning, capability synchronization, and enterprise delivery visibility Strong hands-on experience using Jira and Confluence to configure workflows, dashboards, roadmaps, backlogs, dependencies, reporting, and program-level delivery views supporting SAFe execution. Applied knowledge of SAFe Lean-Agile principles, ART execution, backlog hierarchy, capabilities and features, WSJF or comparable prioritization, flow metrics, and value delivery. Working knowledge of systems integration, systems engineering, software development, cloud, cybersecurity, DevSecOps, CI/CD, test, and operational mission environments. Experience coordinating cross-functional and multi-organizational technical teams where execution depends on influence, integration, and stakeholder alignment rather than direct authority. Strong understanding of dependency management, release coordination, schedule integration, milestone tracking, delivery synchronization, execution risk, and alignment between Agile plans and program schedules. Strong analytical, organizational, facilitation, leadership, communication, and stakeholder management skills in classified, mission-critical, fast-paced environments. Desired Qualifications Experience supporting operational Command and Control (C2), space mission systems, mission systems integration, or cloud-native operational environments within DoD or the Intelligence Community. Experience with Jira Advanced Roadmaps, Jira Align, Structure, BigPicture, Tempo, or equivalent enterprise Agile planning and portfolio management tools. Experience serving as a Release Train Engineer (RTE), Senior Scrum Master, Agile Program Lead, or comparable SAFe program-level integration role supporting one or more ARTs. Experience integrating SAFe execution with DevSecOps pipelines, CI/CD, software factories, cloud-native delivery, systems engineering, and operational integration. Experience supporting operational readiness reviews, MVP releases, system demonstrations, mission rehearsals, operational acceptance, or IOC demonstrations. SAFe Release Train Engineer (RTE), SAFe Agilist, SAFe Scrum Master, SAFe Practice Consultant (SPC), PMP, PMI-ACP, or equivalent certification preferred. Experience supporting executive-level reporting, Government stakeholders, U.S. Space Force or Space Systems Command organizations, or multi-contractor defense programs preferred. $150,000-$210,000 salary + annual bonus eligibility + medical/dental/vision/STD/LTD/Life + 401(k) + PTO Equal Employment Opportunity / Legal Disclaimer? GXM Technologies LLC is an Equal Opportunity Employer and participates in E-Verify to confirm employment eligibility. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity, national origin, age, disability, genetic information, veteran status, or any other legally protected status. GXM Technologies LLC provides reasonable accommodations in accordance with applicable law. This job description is not intended to be a complete list of duties and responsibilities, which may change at any time with or without notice. Employment is at-will where permitted by law, meaning either the employee or the Company may terminate employment at any time, with or without cause or notice, subject to applicable legal requirements.? PId3db67961ac9-6984
09/24/2026
Full time
Description: GXM Technologies is seeking a Senior Agile Program Integration Lead to support advanced defense and space mission programs requiring disciplined Agile execution, complex systems integration, and enterprise-level delivery synchronization. This role provides senior leadership across multiple technical teams and workstreams, using hands-on Scaled Agile Framework (SAFe) practices to align planning, technical integration, MVP releases, operational milestones, and Initial Operational Capability (IOC) objectives. The ideal candidate combines hands-on SAFe execution with technical program integration, systems engineering awareness, release management, and operational mission delivery. This individual will work with Program Managers, Product and Solution Management, engineers, DevSecOps teams, architects, cybersecurity personnel, test organizations, and Government stakeholders to translate priorities into executable Program Increments and synchronized delivery plans. This role is onsite in Colorado Springs, CO due to operational integration and classified mission requirements. Hybrid flexibility may be available over time based on mission requirements, program execution needs and achievement of objectives. Responsibilities Serve as the senior Agile program integration lead, providing hands-on SAFe execution leadership across multiple technical teams, Agile Release Trains (ARTs), and integrated workstreams. Apply SAFe practices to synchronize systems engineering, software, cloud, cybersecurity, data, DevSecOps, integration, test, and operational mission teams against shared program objectives. Lead and facilitate SAFe planning and synchronization activities, including: Program Increment (PI) Planning and PI execution; ART Sync, Scrum of Scrums, and cross-team coordination; System Demos and Inspect & Adapt events ; Dependency, impediment, and ROAM risk management; MVP, capability release, and integration coordination; Operational milestone and IOC readiness alignment Configure and manage Jira, Confluence, and enterprise Agile planning tools to maintain program backlogs, PI objectives, capabilities and features, dependencies, risks, roadmaps, release plans, and delivery visibility. Develop and maintain integrated roadmaps, delivery schedules, release plans, and milestone artifacts that align SAFe PI cadence and team commitments with the Integrated Master Schedule (IMS), technical baselines, operational events, and IOC objectives. Facilitate cross-team synchronization, decision-making, and issue resolution across technical teams, mission stakeholders, engineering organizations, Government leadership, and delivery partners. Provide hands-on leadership for Agile ceremonies and program-level events, ensuring decisions, dependencies, risks, actions, and commitments are documented and driven to closure. Monitor PI objectives, delivery predictability, flow metrics, risks, dependencies, constraints, and operational impacts; lead mitigation, escalation, and corrective action when delivery is at risk. Provide program leadership with actionable metrics, Jira dashboards, roadmap reporting, PI status, milestone health, dependency visibility, risk trends, and executive-level reporting. Collaborate with Program Managers, Enterprise Architects, Chief Engineers, Product and Solution Management, Technical Leads, cybersecurity teams, and mission stakeholders to align Agile execution with engineering and operational requirements. Drive continuous improvement of SAFe, Lean-Agile, DevSecOps, and delivery management practices appropriate to classified and mission-critical environments. Coordinate configuration management, knowledge management, and documentation alignment so program baselines, Agile artifacts, technical decisions, release content, and delivery evidence remain current and traceable. Lead transition planning, release coordination, capability deployment, and readiness synchronization aligned to mission events, MVP demonstrations, and IOC objectives. Requirements: U.S. Citizen with active TS/SCI clearance. Bachelor's degree in engineering, computer science, information systems, business, program management, or a related discipline; equivalent relevant experience may be considered. 8+ years of experience in Agile delivery, technical program integration, systems integration, release management, software-intensive programs, or operational program execution, including senior responsibility for cross-team delivery. Demonstrated hands-on experience implementing and executing the Scaled Agile Framework (SAFe) in a complex, multi-team technical environment; certification or classroom knowledge alone is not sufficient. Demonstrated experience leading or directly facilitating SAFe program-level activities, including: PI Planning, PI execution, and PI objective management; ART Sync, Scrum of Scrums, and dependency coordination; System Demos, Inspect & Adapt, and continuous improvement activities; ROAM risk management, impediment escalation, and cross-team issue resolution; Release planning, capability synchronization, and enterprise delivery visibility Strong hands-on experience using Jira and Confluence to configure workflows, dashboards, roadmaps, backlogs, dependencies, reporting, and program-level delivery views supporting SAFe execution. Applied knowledge of SAFe Lean-Agile principles, ART execution, backlog hierarchy, capabilities and features, WSJF or comparable prioritization, flow metrics, and value delivery. Working knowledge of systems integration, systems engineering, software development, cloud, cybersecurity, DevSecOps, CI/CD, test, and operational mission environments. Experience coordinating cross-functional and multi-organizational technical teams where execution depends on influence, integration, and stakeholder alignment rather than direct authority. Strong understanding of dependency management, release coordination, schedule integration, milestone tracking, delivery synchronization, execution risk, and alignment between Agile plans and program schedules. Strong analytical, organizational, facilitation, leadership, communication, and stakeholder management skills in classified, mission-critical, fast-paced environments. Desired Qualifications Experience supporting operational Command and Control (C2), space mission systems, mission systems integration, or cloud-native operational environments within DoD or the Intelligence Community. Experience with Jira Advanced Roadmaps, Jira Align, Structure, BigPicture, Tempo, or equivalent enterprise Agile planning and portfolio management tools. Experience serving as a Release Train Engineer (RTE), Senior Scrum Master, Agile Program Lead, or comparable SAFe program-level integration role supporting one or more ARTs. Experience integrating SAFe execution with DevSecOps pipelines, CI/CD, software factories, cloud-native delivery, systems engineering, and operational integration. Experience supporting operational readiness reviews, MVP releases, system demonstrations, mission rehearsals, operational acceptance, or IOC demonstrations. SAFe Release Train Engineer (RTE), SAFe Agilist, SAFe Scrum Master, SAFe Practice Consultant (SPC), PMP, PMI-ACP, or equivalent certification preferred. Experience supporting executive-level reporting, Government stakeholders, U.S. Space Force or Space Systems Command organizations, or multi-contractor defense programs preferred. $150,000-$210,000 salary + annual bonus eligibility + medical/dental/vision/STD/LTD/Life + 401(k) + PTO Equal Employment Opportunity / Legal Disclaimer? GXM Technologies LLC is an Equal Opportunity Employer and participates in E-Verify to confirm employment eligibility. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity, national origin, age, disability, genetic information, veteran status, or any other legally protected status. GXM Technologies LLC provides reasonable accommodations in accordance with applicable law. This job description is not intended to be a complete list of duties and responsibilities, which may change at any time with or without notice. Employment is at-will where permitted by law, meaning either the employee or the Company may terminate employment at any time, with or without cause or notice, subject to applicable legal requirements.? PId3db67961ac9-6984
Who We Are Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that we create and service is essential to advancing AI and accelerating the commercialization of next-generation semiconductor chips. Join us and push the boundaries of materials science and engineering in a company at the foundation of the electronics industry. The work we do together advances the world's technology. What We Offer Salary: $198,000.00 - $272,500.00 Location: Santa Clara,CA You'll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible-while learning every day in a supportive leading global company. Visit our Careers website to learn more. At Applied Materials, we care about the health and wellbeing of our employees. We're committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits. As a Software Engineer at Applied Materials, you'll dive deep into ground-breaking technologies-like machine learning and AI-to craft novel software solutions that solve our customers' high-value problems. Our Software Engineers are responsible for designing, prototyping, developing, and debugging software solutions for semiconductor equipment components and devices to ensure quality and functionality. You'll develop software documentation and test procedures, troubleshoot software problems, and communicate with internal customers to understand project requirements. As part of our team, you'll contribute your expertise in intricate systems, deciphering code, and anticipating software behaviors to ensure Applied remains the leader in the semiconductor and display sectors. The Principal Data Architect serves as the senior technical authority for Applied's enterprise data architecture, accountable for the coherence of the data landscape across large-scale transformation programs. Owns the architecture of certified data products and the enterprise semantic layer, provides data architecture leadership to the S/4 transformation, and sets the standards, patterns, and decision gates that delivery teams and partners build against. Operates through technical credibility and influence across business units rather than through direct reporting authority. Key Responsibilities: Enterprise data architecture and standards. Define and own the target-state architecture for Applied's data platform and BI landscape. Establish reference architectures, design patterns, and BKMs for integrated solution design. Serve as architecture approver for platform and solution designs, with authority to require rework where designs diverge from enterprise standards. Large-scale data transformation leadership. Provide end-to-end technical leadership for complex, multi-year, multi-BU data transformation programs - current-state assessment, target architecture, migration strategy, sequencing, cutover design, and decommissioning. Own the architecture-level risks and dependencies that cross program boundaries and would otherwise fall between program owners. S/4 data transformation. Act as the data architecture authority to the S/4 program. Own the data model and master data implications of ERP design decisions, the conversion and harmonization strategy for legacy and historical data, and the downstream architecture that makes S/4 data consumable for analytics and AI. Ensure ERP-side decisions are made with full visibility into their downstream cost. Data products development. Define and own the data product operating model - product definition, data contracts, ownership, certification criteria, quality and freshness SLAs, versioning, and deprecation. Architect the highest-impact enterprise data products directly and certify the rest. Drive reuse so that data products reduce the overall asset footprint rather than adding to it. Enterprise semantic layer. Own the design and governance of the enterprise semantic layer - the common business vocabulary, conformed dimensions, and certified metric definitions that guarantee a measure means the same thing in every consuming tool. Architect the layer to serve BI, self-service, embedded analytics, and agentic AI consumption from a single governed definition set. Establish the change-control process for semantic definitions. Governance, security, and quality by design. Embed governance into the architecture rather than retrofitting it: catalog and lineage coverage, classification, attribute- and role-based access control, and data quality instrumentation as architectural requirements at design time. Partner with Information Security and Compliance on data protection posture, encryption and key management design, and SOX-relevant controls within the data estate. Technology strategy and vendor assessment. Own multi-year platform and capability roadmaps for the data and BI estate. Lead technical evaluation of vendor products and next-generation technologies, including proof-of-concept design and objective scoring. Assess architectural lock-in and exit cost as a first-class criterion. Recommend additions and changes to Applied's enterprise architectural strategy. Serve as senior technical counterpart to strategic vendor and partner relationships. Technical direction of delivery and partner teams. Set and enforce technical direction for internal delivery teams, systems integrators, and contingent technical staff through design reviews, architecture gates, and code and model review. Define technical acceptance criteria for partner statements of work and assess delivered work product against them. Escalate quality and capability concerns to the accountable delivery managers. Technical community leadership. Raise the architectural and data modeling capability of the broader data organization through mentoring, design review, internal standards documentation, and targeted enablement. Build the bench of engineers and architects capable of extending the patterns this role establishes. Executive influence and decision support. Translate architectural tradeoffs into business terms for senior stakeholders - cost, risk, time-to-value, optionality. Build the case for architecture investment and drive alignment across BU leaders whose local optima conflict with the enterprise target state. Competency Framework: Functional Knowledge Recognized as the enterprise technical authority in data architecture and an advanced expert within the data and analytics discipline. Maintains deep, current knowledge of adjacent disciplines including ERP data, information security, and AI/ML platform engineering. Business Expertise Applies in-depth understanding of how data architecture integrates across the segment and function, and of the commercial and operational drivers of the business units the data estate serves. Anticipates the business consequences of architectural decisions. Leadership Leads programs of substantial complexity, risk, and organizational breadth without formal reporting authority. Sets technical direction for multiple delivery teams and partner organizations, establishes the standards others execute against, and mentors senior technical staff. Problem Solving Solves unique and ambiguous problems with broad enterprise impact where no established precedent exists. Requires conceptual and innovative thinking, and the judgment to distinguish problems that need a novel solution from those that need an existing standard applied consistently. Impact Impacts the direction, sequencing, and resource allocation of enterprise programs, platforms, and technology investments. Architectural decisions made in this role determine multi-year cost and capability across the data estate. Interpersonal Skills Communicates complex technical concepts to executive audiences with clarity and precision. Anticipates objections, negotiates competing priorities across business units, and persuades senior internal and external stakeholders toward enterprise outcomes over local ones. Qualifications Required Hands-on architecture experience with SAP Business Data Cloud (BDC), including Datasphere data modeling, replication/transformation flows, and BDC-to-lakehouse integration with platforms like Databricks Proficiency in SAP ABAP (OO-ABAP, CDS Views, AMDP) and SQLScript/HANA-native procedures for custom extraction, transformation, and performance-tuned data logic Working knowledge of SQL and Python for pipeline development, validation scripting, and Datasphere/Databricks transformation logic Experience with SAP BTP extensibility (RAP, CAP) and BDC data products / Delta Sharing for building governed, reusable data services and APIs Familiarity with SAP Analytics Cloud (SAC) or BW/BW4HANA integration, and CI/CD or transport-based version control for code-driven data models Hands-on experience building governed Databricks data products using Unity Catalog for access control, lineage, and cross-domain data sharing Experience designing and operating a semantic layer within Databricks (e.g., metric views, SQL warehouses, or equivalent) to serve consistent, governed metrics across BI and AI consumption tools Technical proficiency in Databricks - Delta Lake . click apply for full job details
09/24/2026
Full time
Who We Are Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that we create and service is essential to advancing AI and accelerating the commercialization of next-generation semiconductor chips. Join us and push the boundaries of materials science and engineering in a company at the foundation of the electronics industry. The work we do together advances the world's technology. What We Offer Salary: $198,000.00 - $272,500.00 Location: Santa Clara,CA You'll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible-while learning every day in a supportive leading global company. Visit our Careers website to learn more. At Applied Materials, we care about the health and wellbeing of our employees. We're committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits. As a Software Engineer at Applied Materials, you'll dive deep into ground-breaking technologies-like machine learning and AI-to craft novel software solutions that solve our customers' high-value problems. Our Software Engineers are responsible for designing, prototyping, developing, and debugging software solutions for semiconductor equipment components and devices to ensure quality and functionality. You'll develop software documentation and test procedures, troubleshoot software problems, and communicate with internal customers to understand project requirements. As part of our team, you'll contribute your expertise in intricate systems, deciphering code, and anticipating software behaviors to ensure Applied remains the leader in the semiconductor and display sectors. The Principal Data Architect serves as the senior technical authority for Applied's enterprise data architecture, accountable for the coherence of the data landscape across large-scale transformation programs. Owns the architecture of certified data products and the enterprise semantic layer, provides data architecture leadership to the S/4 transformation, and sets the standards, patterns, and decision gates that delivery teams and partners build against. Operates through technical credibility and influence across business units rather than through direct reporting authority. Key Responsibilities: Enterprise data architecture and standards. Define and own the target-state architecture for Applied's data platform and BI landscape. Establish reference architectures, design patterns, and BKMs for integrated solution design. Serve as architecture approver for platform and solution designs, with authority to require rework where designs diverge from enterprise standards. Large-scale data transformation leadership. Provide end-to-end technical leadership for complex, multi-year, multi-BU data transformation programs - current-state assessment, target architecture, migration strategy, sequencing, cutover design, and decommissioning. Own the architecture-level risks and dependencies that cross program boundaries and would otherwise fall between program owners. S/4 data transformation. Act as the data architecture authority to the S/4 program. Own the data model and master data implications of ERP design decisions, the conversion and harmonization strategy for legacy and historical data, and the downstream architecture that makes S/4 data consumable for analytics and AI. Ensure ERP-side decisions are made with full visibility into their downstream cost. Data products development. Define and own the data product operating model - product definition, data contracts, ownership, certification criteria, quality and freshness SLAs, versioning, and deprecation. Architect the highest-impact enterprise data products directly and certify the rest. Drive reuse so that data products reduce the overall asset footprint rather than adding to it. Enterprise semantic layer. Own the design and governance of the enterprise semantic layer - the common business vocabulary, conformed dimensions, and certified metric definitions that guarantee a measure means the same thing in every consuming tool. Architect the layer to serve BI, self-service, embedded analytics, and agentic AI consumption from a single governed definition set. Establish the change-control process for semantic definitions. Governance, security, and quality by design. Embed governance into the architecture rather than retrofitting it: catalog and lineage coverage, classification, attribute- and role-based access control, and data quality instrumentation as architectural requirements at design time. Partner with Information Security and Compliance on data protection posture, encryption and key management design, and SOX-relevant controls within the data estate. Technology strategy and vendor assessment. Own multi-year platform and capability roadmaps for the data and BI estate. Lead technical evaluation of vendor products and next-generation technologies, including proof-of-concept design and objective scoring. Assess architectural lock-in and exit cost as a first-class criterion. Recommend additions and changes to Applied's enterprise architectural strategy. Serve as senior technical counterpart to strategic vendor and partner relationships. Technical direction of delivery and partner teams. Set and enforce technical direction for internal delivery teams, systems integrators, and contingent technical staff through design reviews, architecture gates, and code and model review. Define technical acceptance criteria for partner statements of work and assess delivered work product against them. Escalate quality and capability concerns to the accountable delivery managers. Technical community leadership. Raise the architectural and data modeling capability of the broader data organization through mentoring, design review, internal standards documentation, and targeted enablement. Build the bench of engineers and architects capable of extending the patterns this role establishes. Executive influence and decision support. Translate architectural tradeoffs into business terms for senior stakeholders - cost, risk, time-to-value, optionality. Build the case for architecture investment and drive alignment across BU leaders whose local optima conflict with the enterprise target state. Competency Framework: Functional Knowledge Recognized as the enterprise technical authority in data architecture and an advanced expert within the data and analytics discipline. Maintains deep, current knowledge of adjacent disciplines including ERP data, information security, and AI/ML platform engineering. Business Expertise Applies in-depth understanding of how data architecture integrates across the segment and function, and of the commercial and operational drivers of the business units the data estate serves. Anticipates the business consequences of architectural decisions. Leadership Leads programs of substantial complexity, risk, and organizational breadth without formal reporting authority. Sets technical direction for multiple delivery teams and partner organizations, establishes the standards others execute against, and mentors senior technical staff. Problem Solving Solves unique and ambiguous problems with broad enterprise impact where no established precedent exists. Requires conceptual and innovative thinking, and the judgment to distinguish problems that need a novel solution from those that need an existing standard applied consistently. Impact Impacts the direction, sequencing, and resource allocation of enterprise programs, platforms, and technology investments. Architectural decisions made in this role determine multi-year cost and capability across the data estate. Interpersonal Skills Communicates complex technical concepts to executive audiences with clarity and precision. Anticipates objections, negotiates competing priorities across business units, and persuades senior internal and external stakeholders toward enterprise outcomes over local ones. Qualifications Required Hands-on architecture experience with SAP Business Data Cloud (BDC), including Datasphere data modeling, replication/transformation flows, and BDC-to-lakehouse integration with platforms like Databricks Proficiency in SAP ABAP (OO-ABAP, CDS Views, AMDP) and SQLScript/HANA-native procedures for custom extraction, transformation, and performance-tuned data logic Working knowledge of SQL and Python for pipeline development, validation scripting, and Datasphere/Databricks transformation logic Experience with SAP BTP extensibility (RAP, CAP) and BDC data products / Delta Sharing for building governed, reusable data services and APIs Familiarity with SAP Analytics Cloud (SAC) or BW/BW4HANA integration, and CI/CD or transport-based version control for code-driven data models Hands-on experience building governed Databricks data products using Unity Catalog for access control, lineage, and cross-domain data sharing Experience designing and operating a semantic layer within Databricks (e.g., metric views, SQL warehouses, or equivalent) to serve consistent, governed metrics across BI and AI consumption tools Technical proficiency in Databricks - Delta Lake . click apply for full job details
Job Description Job Description Founded in 1936, the National Wildlife Federation has grown into America's largest and most trusted grassroots conservation organization with 52 state/territorial affiliates and more than six million members and supporters, including hunters, anglers, gardeners, birders, hikers, campers, paddlers, and outdoor enthusiasts of all ages and stripes. The mission of the National Wildlife Federation is to unite all Americans to ensure wildlife thrive in our rapidly changing world. We advance this mission through programming focused on conserving wildlife, restoring habitats and waterways, expanding outdoor opportunities, connecting children with nature, advancing environmental justice, and addressing the causes and consequences of climate change. To support our mission, we are seeking a Data & Systems Specialist to join our Data & Technology Department. This role works at the intersection of data, systems, and stakeholder support. The Data & Systems Specialist is responsible for managing, maintaining, and optimizing data and business processes for NWF's mission-critical supporter systems. This role is a vital resource for system users, developers, project managers, data analysts, and vendors. They work with stakeholders to ensure alignment with the organization's fundraising, engagement, programmatic, and operational goals. They provide user support, manage process documentation, and execute training plans to enhance user adoption and optimization. The Data & Systems Specialist plays a key role in ensuring the data hygiene, data governance, and integrity of our supporter systems. The person in this role is expected to be proactive, detail-oriented, and an effective communicator. The Data & Systems Specialist will be part of the Data & Systems team and report to the Senior Manager of System Strategy & Projects. Principle Duties (major areas of responsibility): System Administration Serve as primary administrator for the CRM database (currently Microsoft Dynamics). Configure fields, forms, views, automations, reports, dashboards, and user security permissions. Troubleshoot system issues and partner with key stakeholders to identify and deploy practical solutions. Execute system improvements and upgrades in collaboration with system users, developers, project managers, data analysts, and vendors. Create and perform quality assurance testing scripts related to functionality enhancements or bug fixes. Build queries and run reports to distribute to system stakeholders. Serve as a backup for NWF's Data Operations Manager to perform key functions when coverage is needed. User Support and Training Manage the CRM support inbox, acting as primary point of contact for CRM-related questions and feedback. Provide hands-on support to CRM users, addressing database questions, data inquiries, technical issues, and ensuring efficient and effective system utilization. Regularly meet with CRM super users and gather feedback to improve functionality and data processes. Develop and deliver optimized help documentation, training sessions, user surveys, and newsletter communications. Create and maintain documentation related to system usage, processes, and connections across systems. Data Hygiene and Data Governance Manage NWF's Data Protection inbox to resolve data privacy and data removal requests from our supporters. Monitor and manage data integrity tasks for NWF's supporter data. Conduct regular data integrity checks to identify and resolve any data issues. Perform data management tasks such as data imports, exports, appends, and merges. Research, develop, and maintain data governance policies for NWF's supporter data, ensuring compliance with applicable organization and policy standards. Collaboration and Strategy Partner with cross-functional teams and data owners (e.g. development, fundraising, legal, marketing, and operations) to align system capabilities with organizational requirements. Develop and implement strategies for improving operational efficiency, such as streamlining processes, eliminating redundancies, and elevating system capabilities. Collaborate with data owners and the Data Strategy team to ensure system configuration allows for seamless analytics and reporting. Help evaluate and adopt emerging technologies - including AI-powered tools - to enhance productivity. Qualifications: Skills and Competencies Strong analytical and problem-solving skills. Ability to troubleshoot creatively and critically think through implications beyond what is immediately apparent. Ability to manage multiple priorities while maintaining a positive outlook. Excellent communication skills. Comfortable sharing technical concepts in a way everyone can understand. Ability to collaborate effectively with diverse teams and stakeholders. Excellent organizational skills with strong attention to detail and accuracy. Flexibility, reliability, determination, and a sense of humor. A passion for continuous improvement and learning new technologies. Willingness to adapt to changing organizational needs and proactively seek solutions. The employee's actions are expected to reflect the values of the National Wildlife Federation. Minimum Experience 2+ years experience in an administrator role for an enterprise CRM (Microsoft Dynamics, Salesforce, Blackbaud CRM). 2+ years experience serving as a support contact for CRM users, technical staff, and vendors. 2+ years experience implementing data hygiene best practices, crafting data governance principles, and performing data integrity tasks. 2+ years experience conducting data imports, exports, and validation activities for enterprise systems. Preferred Experience Knowledge of nonprofit operations, including donor database management, fundraising campaigns, and program delivery. Experience with Salesforce nonprofit applications or Salesforce Administrator certification. Experience implementing system data integrations and APIs. Experience with Tableau or a similar reporting platform. Experience working with complex data sets in SQL Server. Minimum Education Requirements Bachelor's degree from an accredited college or university. pplicants are invited to learn more about National Wildlife Federation's required equity competencies at -Us/Careers. Travel Requirements: There may be 1-10 travel days per year to attend conferences and perform field office visits. Location and Work Mode: This position will be based in Reston, Virginia. The National Wildlife Federation is committed to a flexible and empowered work environment with an authentic community of care for all staff. In this position, the employee may work hybrid or fully remote to be decided jointly with their supervisor in the final stages of the interview process. For more information on Work Modes, please review the benefits section of our careers page: -Us/Careers Physical Requirements of the Job: Remaining in a normal seated or standing position for extended periods; reaching and grasping by extending hand(s) or arm(s); dexterity to manipulate objects with fingers, for example, using a keyboard; communication skills using the spoken word; ability to see and hear within normal parameters; ability to move about the workspace. The position requires mobility, including moving materials weighing up to several pounds (such as a laptop computer or tablet). Persons with disabilities may be able to perform the essential duties of this position with reasonable accommodation. Requests for reasonable accommodation will be evaluated on an individual basis. Please Note: This job description sets forth the job's principal duties, responsibilities, and requirements; it should not be construed as an exhaustive statement, however. Unless they begin with the word "may," the Essential Duties and Responsibilities described above are "essential functions" of the job, as defined by the Americans with Disabilities Act. Compensation and Benefits: The salary range for this position is $60,000 - $70,000, commensurate with experience. We are proud of our designation by Mogul as a Top 100 Workplace with the Best Benefits, and by Forbes as one of America's best small employers! We value work-life balance and a family-friendly atmosphere with flexible scheduling. We want you to be able to integrate work and personal life with attention to your self-care, so that your work schedule is not depleting. We offer benefits so you feel restored and fueled through the day and week. We offer these supports to help manage your mental, emotional, and physical health: Paid time off: Vacation that starts off at three weeks accrual based on a full-time schedule, unlimited wellbeing (this time can be used for physical, spiritual, emotional, cultural, religious or financial wellbeing for yourself, a partner, or family member - including pets), and 11 holidays We close down for a paid winter break between December 25 to January 1 to recognize end of-year stress, and time for reflection, rejuvenation, and spending time with family. Up to 16 weeks of fully paid Family and Medical Leave Low-cost health, dental, and vision insurance options - all outpatient mental health is covered at in-network rates Therapist available at no cost . click apply for full job details
09/24/2026
Full time
Job Description Job Description Founded in 1936, the National Wildlife Federation has grown into America's largest and most trusted grassroots conservation organization with 52 state/territorial affiliates and more than six million members and supporters, including hunters, anglers, gardeners, birders, hikers, campers, paddlers, and outdoor enthusiasts of all ages and stripes. The mission of the National Wildlife Federation is to unite all Americans to ensure wildlife thrive in our rapidly changing world. We advance this mission through programming focused on conserving wildlife, restoring habitats and waterways, expanding outdoor opportunities, connecting children with nature, advancing environmental justice, and addressing the causes and consequences of climate change. To support our mission, we are seeking a Data & Systems Specialist to join our Data & Technology Department. This role works at the intersection of data, systems, and stakeholder support. The Data & Systems Specialist is responsible for managing, maintaining, and optimizing data and business processes for NWF's mission-critical supporter systems. This role is a vital resource for system users, developers, project managers, data analysts, and vendors. They work with stakeholders to ensure alignment with the organization's fundraising, engagement, programmatic, and operational goals. They provide user support, manage process documentation, and execute training plans to enhance user adoption and optimization. The Data & Systems Specialist plays a key role in ensuring the data hygiene, data governance, and integrity of our supporter systems. The person in this role is expected to be proactive, detail-oriented, and an effective communicator. The Data & Systems Specialist will be part of the Data & Systems team and report to the Senior Manager of System Strategy & Projects. Principle Duties (major areas of responsibility): System Administration Serve as primary administrator for the CRM database (currently Microsoft Dynamics). Configure fields, forms, views, automations, reports, dashboards, and user security permissions. Troubleshoot system issues and partner with key stakeholders to identify and deploy practical solutions. Execute system improvements and upgrades in collaboration with system users, developers, project managers, data analysts, and vendors. Create and perform quality assurance testing scripts related to functionality enhancements or bug fixes. Build queries and run reports to distribute to system stakeholders. Serve as a backup for NWF's Data Operations Manager to perform key functions when coverage is needed. User Support and Training Manage the CRM support inbox, acting as primary point of contact for CRM-related questions and feedback. Provide hands-on support to CRM users, addressing database questions, data inquiries, technical issues, and ensuring efficient and effective system utilization. Regularly meet with CRM super users and gather feedback to improve functionality and data processes. Develop and deliver optimized help documentation, training sessions, user surveys, and newsletter communications. Create and maintain documentation related to system usage, processes, and connections across systems. Data Hygiene and Data Governance Manage NWF's Data Protection inbox to resolve data privacy and data removal requests from our supporters. Monitor and manage data integrity tasks for NWF's supporter data. Conduct regular data integrity checks to identify and resolve any data issues. Perform data management tasks such as data imports, exports, appends, and merges. Research, develop, and maintain data governance policies for NWF's supporter data, ensuring compliance with applicable organization and policy standards. Collaboration and Strategy Partner with cross-functional teams and data owners (e.g. development, fundraising, legal, marketing, and operations) to align system capabilities with organizational requirements. Develop and implement strategies for improving operational efficiency, such as streamlining processes, eliminating redundancies, and elevating system capabilities. Collaborate with data owners and the Data Strategy team to ensure system configuration allows for seamless analytics and reporting. Help evaluate and adopt emerging technologies - including AI-powered tools - to enhance productivity. Qualifications: Skills and Competencies Strong analytical and problem-solving skills. Ability to troubleshoot creatively and critically think through implications beyond what is immediately apparent. Ability to manage multiple priorities while maintaining a positive outlook. Excellent communication skills. Comfortable sharing technical concepts in a way everyone can understand. Ability to collaborate effectively with diverse teams and stakeholders. Excellent organizational skills with strong attention to detail and accuracy. Flexibility, reliability, determination, and a sense of humor. A passion for continuous improvement and learning new technologies. Willingness to adapt to changing organizational needs and proactively seek solutions. The employee's actions are expected to reflect the values of the National Wildlife Federation. Minimum Experience 2+ years experience in an administrator role for an enterprise CRM (Microsoft Dynamics, Salesforce, Blackbaud CRM). 2+ years experience serving as a support contact for CRM users, technical staff, and vendors. 2+ years experience implementing data hygiene best practices, crafting data governance principles, and performing data integrity tasks. 2+ years experience conducting data imports, exports, and validation activities for enterprise systems. Preferred Experience Knowledge of nonprofit operations, including donor database management, fundraising campaigns, and program delivery. Experience with Salesforce nonprofit applications or Salesforce Administrator certification. Experience implementing system data integrations and APIs. Experience with Tableau or a similar reporting platform. Experience working with complex data sets in SQL Server. Minimum Education Requirements Bachelor's degree from an accredited college or university. pplicants are invited to learn more about National Wildlife Federation's required equity competencies at -Us/Careers. Travel Requirements: There may be 1-10 travel days per year to attend conferences and perform field office visits. Location and Work Mode: This position will be based in Reston, Virginia. The National Wildlife Federation is committed to a flexible and empowered work environment with an authentic community of care for all staff. In this position, the employee may work hybrid or fully remote to be decided jointly with their supervisor in the final stages of the interview process. For more information on Work Modes, please review the benefits section of our careers page: -Us/Careers Physical Requirements of the Job: Remaining in a normal seated or standing position for extended periods; reaching and grasping by extending hand(s) or arm(s); dexterity to manipulate objects with fingers, for example, using a keyboard; communication skills using the spoken word; ability to see and hear within normal parameters; ability to move about the workspace. The position requires mobility, including moving materials weighing up to several pounds (such as a laptop computer or tablet). Persons with disabilities may be able to perform the essential duties of this position with reasonable accommodation. Requests for reasonable accommodation will be evaluated on an individual basis. Please Note: This job description sets forth the job's principal duties, responsibilities, and requirements; it should not be construed as an exhaustive statement, however. Unless they begin with the word "may," the Essential Duties and Responsibilities described above are "essential functions" of the job, as defined by the Americans with Disabilities Act. Compensation and Benefits: The salary range for this position is $60,000 - $70,000, commensurate with experience. We are proud of our designation by Mogul as a Top 100 Workplace with the Best Benefits, and by Forbes as one of America's best small employers! We value work-life balance and a family-friendly atmosphere with flexible scheduling. We want you to be able to integrate work and personal life with attention to your self-care, so that your work schedule is not depleting. We offer benefits so you feel restored and fueled through the day and week. We offer these supports to help manage your mental, emotional, and physical health: Paid time off: Vacation that starts off at three weeks accrual based on a full-time schedule, unlimited wellbeing (this time can be used for physical, spiritual, emotional, cultural, religious or financial wellbeing for yourself, a partner, or family member - including pets), and 11 holidays We close down for a paid winter break between December 25 to January 1 to recognize end of-year stress, and time for reflection, rejuvenation, and spending time with family. Up to 16 weeks of fully paid Family and Medical Leave Low-cost health, dental, and vision insurance options - all outpatient mental health is covered at in-network rates Therapist available at no cost . click apply for full job details
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Role Summary: The Sr. ML Engineer is responsible for building and maintaining ML platform infrastructure that powers AI/ML applications across the organization. This role is suited for a hands-on engineer with practical experience in AWS, SageMaker, Kubernetes, GPU orchestration, Infrastructure as Code, and MLOps, with a passion for building scalable, secure, and reliable platforms. The position requires an experienced ML platform engineer who can design cloud and on-prem infrastructure, manage model deployment environments, modernize legacy ML pipelines, and enable Data Scientists and AI Engineers to move models from research to production. The team is tasked with building scalable ML infrastructure and platform tooling, and the successful candidate will contribute to architectural decisions, implementation standards, and best practices across the ML platform. All roles require digital fluency, including the ability to work with emerging technologies such as Generative AI tools, Microsoft Copilot, ChatGPT, GitHub Copilot, and other AI-enabled productivity platforms to support everyday work. Key Responsibilities: Lead and deliver specific platform engineering deliverables as a Sr. ML Engineer. Provide guidance to the engineering team on building scalable ML infrastructure, deployment patterns, and platform capabilities. Improve the productivity of Data Scientists and AI Engineers by developing tooling that simplifies model deployment and productionization. Act as a platform design authority and shape best practices and methodologies within the ML platform team. Design and build scalable ML pipelines, orchestration frameworks, and model serving infrastructure. Collaborate with Data Scientists, AI Engineers, infrastructure teams, and security partners to integrate AI/ML solutions into production systems. Build and operate secure cloud and on-prem infrastructure using AWS, Kubernetes, SageMaker, Terraform, and related platform technologies. Support GPU-enabled infrastructure and serving frameworks for AI/ML, GenAI, and LLM workloads. Modernize legacy ML pipelines and adopt emerging technologies to improve reliability, scalability, and operational efficiency. Communicate technical concepts, platform capabilities, and architectural decisions to technical and non-technical stakeholders. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience Preferred Qualifications: Specialist: 4 or more years of relevant work experience. Experience designing, building, and maintaining scalable ML platform infrastructure for AI/ML applications. Experience with AWS services such as EC2, S3, EKS, SageMaker, IAM, VPC, and CloudWatch. Experience managing Kubernetes clusters and containerized ML workloads using Docker. Experience with ML pipeline and orchestration tools such as Kubeflow, Airflow, MLflow, or similar platforms. Experience building infrastructure automation using Terraform, CloudFormation, or other Infrastructure as Code tools. Experience developing CI/CD pipelines for ML model deployment and infrastructure changes. Experience implementing secure cloud architectures using IAM roles, VPCs, least-privilege access, and secure networking patterns. Experience with Python and shell scripting for automation, tooling, and platform operations. Experience collaborating with Data Scientists, AI Engineers, and cross-functional teams to move models from research to production. Experience with generative AI, large language models, LLMOps, or GenAI infrastructure. Experience with GPU orchestration for ML training, inference, capacity management, and workload optimization. Experience with ML serving frameworks such as vLLM, TensorRT-LLM, KServe, Triton, or similar technologies. Experience building and operating hybrid cloud or on-prem/cloud ML infrastructure. Experience with distributed computing frameworks such as Spark or distributed ML workloads. Experience improving infrastructure productivity using AI-assisted tools such as GitHub Copilot, ChatGPT, or similar tools. Experience developing robust, secure, and scalable platforms in enterprise or regulated environments. Experience conducting research, experimentation, or proof-of-concept work with emerging AI/ML infrastructure technologies. Experience mentoring junior engineers and leading implementation of key platform modules. Information for US Applicants For roles located in the US, the estimated salary range for this position is $123,400.00 to $ 191,100.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
09/24/2026
Full time
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Role Summary: The Sr. ML Engineer is responsible for building and maintaining ML platform infrastructure that powers AI/ML applications across the organization. This role is suited for a hands-on engineer with practical experience in AWS, SageMaker, Kubernetes, GPU orchestration, Infrastructure as Code, and MLOps, with a passion for building scalable, secure, and reliable platforms. The position requires an experienced ML platform engineer who can design cloud and on-prem infrastructure, manage model deployment environments, modernize legacy ML pipelines, and enable Data Scientists and AI Engineers to move models from research to production. The team is tasked with building scalable ML infrastructure and platform tooling, and the successful candidate will contribute to architectural decisions, implementation standards, and best practices across the ML platform. All roles require digital fluency, including the ability to work with emerging technologies such as Generative AI tools, Microsoft Copilot, ChatGPT, GitHub Copilot, and other AI-enabled productivity platforms to support everyday work. Key Responsibilities: Lead and deliver specific platform engineering deliverables as a Sr. ML Engineer. Provide guidance to the engineering team on building scalable ML infrastructure, deployment patterns, and platform capabilities. Improve the productivity of Data Scientists and AI Engineers by developing tooling that simplifies model deployment and productionization. Act as a platform design authority and shape best practices and methodologies within the ML platform team. Design and build scalable ML pipelines, orchestration frameworks, and model serving infrastructure. Collaborate with Data Scientists, AI Engineers, infrastructure teams, and security partners to integrate AI/ML solutions into production systems. Build and operate secure cloud and on-prem infrastructure using AWS, Kubernetes, SageMaker, Terraform, and related platform technologies. Support GPU-enabled infrastructure and serving frameworks for AI/ML, GenAI, and LLM workloads. Modernize legacy ML pipelines and adopt emerging technologies to improve reliability, scalability, and operational efficiency. Communicate technical concepts, platform capabilities, and architectural decisions to technical and non-technical stakeholders. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience Preferred Qualifications: Specialist: 4 or more years of relevant work experience. Experience designing, building, and maintaining scalable ML platform infrastructure for AI/ML applications. Experience with AWS services such as EC2, S3, EKS, SageMaker, IAM, VPC, and CloudWatch. Experience managing Kubernetes clusters and containerized ML workloads using Docker. Experience with ML pipeline and orchestration tools such as Kubeflow, Airflow, MLflow, or similar platforms. Experience building infrastructure automation using Terraform, CloudFormation, or other Infrastructure as Code tools. Experience developing CI/CD pipelines for ML model deployment and infrastructure changes. Experience implementing secure cloud architectures using IAM roles, VPCs, least-privilege access, and secure networking patterns. Experience with Python and shell scripting for automation, tooling, and platform operations. Experience collaborating with Data Scientists, AI Engineers, and cross-functional teams to move models from research to production. Experience with generative AI, large language models, LLMOps, or GenAI infrastructure. Experience with GPU orchestration for ML training, inference, capacity management, and workload optimization. Experience with ML serving frameworks such as vLLM, TensorRT-LLM, KServe, Triton, or similar technologies. Experience building and operating hybrid cloud or on-prem/cloud ML infrastructure. Experience with distributed computing frameworks such as Spark or distributed ML workloads. Experience improving infrastructure productivity using AI-assisted tools such as GitHub Copilot, ChatGPT, or similar tools. Experience developing robust, secure, and scalable platforms in enterprise or regulated environments. Experience conducting research, experimentation, or proof-of-concept work with emerging AI/ML infrastructure technologies. Experience mentoring junior engineers and leading implementation of key platform modules. Information for US Applicants For roles located in the US, the estimated salary range for this position is $123,400.00 to $ 191,100.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description This Product Analyst will be a member of the Value-Added Services division and will be responsible for the continued product development and commercialization of the Visa Data Manager (VDM) products. VDM provides Visa clients access to a best-in-class data warehouse, business analytics, and reporting information related to client payment transactions and cardholder spending habits. The team is responsible for maintaining, enhancing, and developing new products and services that leverage data and automated communications, including the strategic Open Analytics initiative aimed at expanding data accessibility and client self-service capabilities. This role will contribute to developing the VDM product roadmap and priorities, working with technical partners to establish and groom business requirements and delivery schedules. This person will also work closely with regional product partners, sales teams, and key internal stakeholders across teams and functions. Responsibilities include: AI-Assisted Product Development: Leverage AI tools including Claude to accelerate the development of business requirements, working backwards documents, product specifications, and go-to-market materials. Product Priorities and Roadmap: Establish and communicate VDM product priorities and roadmap, including development of a roadmap to enable greater client self-service capabilities within the platform. AI Conversationalist Development: Partner with VDM data engineering teams to support the development and delivery of the AI Conversationalist, a natural language query capability that enables clients to access and explore their portfolio data through conversational interactions. Product User Acceptance: Perform UAT testing on newly released functionality. Operational Excellence: Coordinate cross-functional groups within Visa, including Implementations and Support, to ensure timely management of issues, operational excellence, and accurate reporting data. Client Implementation Support: Partner with implementation teams to onboard new clients to VDM, ensuring a smooth and efficient setup experience and driving time to value. Client Onboarding and Enablement: Develop and maintain user onboarding materials and processes that help clients quickly adopt and maximize the value of the VDM platform. Go-To-Market Activities: Contribute to the development of go-to-market materials for new functionality and new product launches, including sales overview presentations and materials used in client-facing meetings. Sales Support: Provide product expertise and analytical support during client sales conversations, helping to articulate the value of VDM and the Open Analytics strategy to prospective and existing clients. Client Activities: Provide analytical insight and assist clients with the execution of their reporting utilizing the VDM tool. Customer Service Liaison: Serve as the primary product liaison with customer service teams on data-related client questions, ensuring issues are resolved accurately and efficiently. Reporting: Create and maintain product performance reporting and statistics including global and performance dashboards, end-user engagement metrics, feature usage dashboards, KPIs, and OKRs. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Visa will accept applications for this role until at least August 24, 2026. Qualifications Basic Qualifications: 2 or more years of work experience with a Bachelor's Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD) Preferred Qualifications: 3 or more years of work experience with a Bachelor's Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) At least 5 years of experience in product management, product analytics, or a related field within financial services, fintech, or payments. Bachelor's degree in Business Administration, Marketing, Finance, Computer Science, Information Systems, Data Science, or a related field. Advanced degree a plus. Experience working with data and analytics platforms, business intelligence tools, or data warehousing solutions. Familiarity with Agile development methodologies and experience grooming and managing product backlogs. Strong analytical and problem-solving skills with the ability to translate complex data into actionable insights and client-facing narratives. Demonstrated ability to work cross-functionally across engineering, sales, and client-facing teams. Experience supporting or leading client implementations, onboarding, or go-to-market activities. Strong written and verbal communication skills with the ability to develop compelling product materials and present to internal and external stakeholders. Exposure to AI, machine learning, or natural language processing concepts is a plus, particularly as they relate to data accessibility and client self-service. Information for US Applicants For roles located in the US, the estimated salary range for this position is $104,600.00 to $ 162,300.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
09/24/2026
Full time
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description This Product Analyst will be a member of the Value-Added Services division and will be responsible for the continued product development and commercialization of the Visa Data Manager (VDM) products. VDM provides Visa clients access to a best-in-class data warehouse, business analytics, and reporting information related to client payment transactions and cardholder spending habits. The team is responsible for maintaining, enhancing, and developing new products and services that leverage data and automated communications, including the strategic Open Analytics initiative aimed at expanding data accessibility and client self-service capabilities. This role will contribute to developing the VDM product roadmap and priorities, working with technical partners to establish and groom business requirements and delivery schedules. This person will also work closely with regional product partners, sales teams, and key internal stakeholders across teams and functions. Responsibilities include: AI-Assisted Product Development: Leverage AI tools including Claude to accelerate the development of business requirements, working backwards documents, product specifications, and go-to-market materials. Product Priorities and Roadmap: Establish and communicate VDM product priorities and roadmap, including development of a roadmap to enable greater client self-service capabilities within the platform. AI Conversationalist Development: Partner with VDM data engineering teams to support the development and delivery of the AI Conversationalist, a natural language query capability that enables clients to access and explore their portfolio data through conversational interactions. Product User Acceptance: Perform UAT testing on newly released functionality. Operational Excellence: Coordinate cross-functional groups within Visa, including Implementations and Support, to ensure timely management of issues, operational excellence, and accurate reporting data. Client Implementation Support: Partner with implementation teams to onboard new clients to VDM, ensuring a smooth and efficient setup experience and driving time to value. Client Onboarding and Enablement: Develop and maintain user onboarding materials and processes that help clients quickly adopt and maximize the value of the VDM platform. Go-To-Market Activities: Contribute to the development of go-to-market materials for new functionality and new product launches, including sales overview presentations and materials used in client-facing meetings. Sales Support: Provide product expertise and analytical support during client sales conversations, helping to articulate the value of VDM and the Open Analytics strategy to prospective and existing clients. Client Activities: Provide analytical insight and assist clients with the execution of their reporting utilizing the VDM tool. Customer Service Liaison: Serve as the primary product liaison with customer service teams on data-related client questions, ensuring issues are resolved accurately and efficiently. Reporting: Create and maintain product performance reporting and statistics including global and performance dashboards, end-user engagement metrics, feature usage dashboards, KPIs, and OKRs. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Visa will accept applications for this role until at least August 24, 2026. Qualifications Basic Qualifications: 2 or more years of work experience with a Bachelor's Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD) Preferred Qualifications: 3 or more years of work experience with a Bachelor's Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) At least 5 years of experience in product management, product analytics, or a related field within financial services, fintech, or payments. Bachelor's degree in Business Administration, Marketing, Finance, Computer Science, Information Systems, Data Science, or a related field. Advanced degree a plus. Experience working with data and analytics platforms, business intelligence tools, or data warehousing solutions. Familiarity with Agile development methodologies and experience grooming and managing product backlogs. Strong analytical and problem-solving skills with the ability to translate complex data into actionable insights and client-facing narratives. Demonstrated ability to work cross-functionally across engineering, sales, and client-facing teams. Experience supporting or leading client implementations, onboarding, or go-to-market activities. Strong written and verbal communication skills with the ability to develop compelling product materials and present to internal and external stakeholders. Exposure to AI, machine learning, or natural language processing concepts is a plus, particularly as they relate to data accessibility and client self-service. Information for US Applicants For roles located in the US, the estimated salary range for this position is $104,600.00 to $ 162,300.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Join our dynamic Visa Cybersecurity - Product Security Engineering team, a key component of Visa's Technology organization, where you will play a crucial role in securing and innovating Visa's products and services. Our team is at the forefront of technology, delivering secure, high-quality, and easy-to-use products that enable Visa and our partners to rapidly and efficiently innovate. Cyber Products operationalizes the usage of AI and decision intelligence to ensure ongoing business values. If you want to be in the exciting payment security and AI space, learn fast, and make big impacts, this is an ideal place for you! The role is for a specialist with hands-on generative AI experience, who thrives on solving complex challenges, modernizing legacy code, and embracing cutting-edge technologies like LLMs. We are responsible for designing, developing, and implementing next generation data platforms to drive incremental revenue. Essential Functions: Hands-on Programming Full-stack development contributes to the design of backend, databases and queries, API creations and consumptions, and contributes to frontend UI development. Works independently with minimal insight to develop software that conforms to Visa's high standards of security, quality, performance, resiliency, and compliance. Design, develop, and unit test applications in accordance with established standards. Improving the productivity of the engineering organization by infusing AI into our coding standards and practices. Proven track record of managing and executing multiple high-impact LLM based projects, balancing delivery speed with quality. Able to showcase the productivity improvement by collecting relevant metrics. Participate in design and code review sessions as appropriate. Provide third-level support to business users. Keep up with current and developing engineering trends Design, Architect and Implement high robust system designs as per the growing needs Contribute to the roadmap for the product Work with architects, systems analysts, project managers and other developers to efficiently implement business requirements while applying the latest available tools and technology. This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager. Qualifications Basic Qualifications • Bachelor's degree, OR 3+ years of relevant work experience • 6 months - 2 years of hands-on expertise with Java, Spring, Python and related technologies. • Experience in Gen AI, Big data and UI technologies will be an added advantage. • Experience with highly distributed, scalable, concurrent and low latency systems working with one or more of the following database technologies: DB2, MySQL and NoSQL data warehouses such as HBase. • Skilled in realizing the full potential of LLM-based AI frameworks. Preferred Qualifications • Bachelor's degree in Computer Science, Computer Information Systems, Computer Engineering, or closely related field and 2 years of experience in the job offered or in a software engineer-related occupation. • 6 months - 2 years of hands-on expertise with Java, Spring, Python and related technologies. • Experience in Gen AI, Big data and UI technologies will be an added advantage. • Experience with highly distributed, scalable, concurrent and low latency systems working with one or more of the following database technologies: DB2, MySQL and NoSQL data warehouses such as HBase. • Highly skilled in realizing the full potential of LLM-based AI frameworks. • Ability to work effectively on multiple concurrent assignments with both AI and non-AI application projects. • Experience working in an Agile and Test-Driven Development environment. • Experience with Continuous Integration and Automated Test tools such as Jenkins, Artifactory, Git, Selenium, Chef desirable. • Strategic thinker and good business acumen to orient data engineering to the business needs of internal clients. • Demonstrated intellectual and analytical rigor, strong attention to detail, team oriented, energetic, collaborative, diplomatic, and flexible style. Information for US Applicants For roles located in the US, the estimated salary range for this position is $112,400.00 to $ 174,500.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
09/24/2026
Full time
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Join our dynamic Visa Cybersecurity - Product Security Engineering team, a key component of Visa's Technology organization, where you will play a crucial role in securing and innovating Visa's products and services. Our team is at the forefront of technology, delivering secure, high-quality, and easy-to-use products that enable Visa and our partners to rapidly and efficiently innovate. Cyber Products operationalizes the usage of AI and decision intelligence to ensure ongoing business values. If you want to be in the exciting payment security and AI space, learn fast, and make big impacts, this is an ideal place for you! The role is for a specialist with hands-on generative AI experience, who thrives on solving complex challenges, modernizing legacy code, and embracing cutting-edge technologies like LLMs. We are responsible for designing, developing, and implementing next generation data platforms to drive incremental revenue. Essential Functions: Hands-on Programming Full-stack development contributes to the design of backend, databases and queries, API creations and consumptions, and contributes to frontend UI development. Works independently with minimal insight to develop software that conforms to Visa's high standards of security, quality, performance, resiliency, and compliance. Design, develop, and unit test applications in accordance with established standards. Improving the productivity of the engineering organization by infusing AI into our coding standards and practices. Proven track record of managing and executing multiple high-impact LLM based projects, balancing delivery speed with quality. Able to showcase the productivity improvement by collecting relevant metrics. Participate in design and code review sessions as appropriate. Provide third-level support to business users. Keep up with current and developing engineering trends Design, Architect and Implement high robust system designs as per the growing needs Contribute to the roadmap for the product Work with architects, systems analysts, project managers and other developers to efficiently implement business requirements while applying the latest available tools and technology. This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager. Qualifications Basic Qualifications • Bachelor's degree, OR 3+ years of relevant work experience • 6 months - 2 years of hands-on expertise with Java, Spring, Python and related technologies. • Experience in Gen AI, Big data and UI technologies will be an added advantage. • Experience with highly distributed, scalable, concurrent and low latency systems working with one or more of the following database technologies: DB2, MySQL and NoSQL data warehouses such as HBase. • Skilled in realizing the full potential of LLM-based AI frameworks. Preferred Qualifications • Bachelor's degree in Computer Science, Computer Information Systems, Computer Engineering, or closely related field and 2 years of experience in the job offered or in a software engineer-related occupation. • 6 months - 2 years of hands-on expertise with Java, Spring, Python and related technologies. • Experience in Gen AI, Big data and UI technologies will be an added advantage. • Experience with highly distributed, scalable, concurrent and low latency systems working with one or more of the following database technologies: DB2, MySQL and NoSQL data warehouses such as HBase. • Highly skilled in realizing the full potential of LLM-based AI frameworks. • Ability to work effectively on multiple concurrent assignments with both AI and non-AI application projects. • Experience working in an Agile and Test-Driven Development environment. • Experience with Continuous Integration and Automated Test tools such as Jenkins, Artifactory, Git, Selenium, Chef desirable. • Strategic thinker and good business acumen to orient data engineering to the business needs of internal clients. • Demonstrated intellectual and analytical rigor, strong attention to detail, team oriented, energetic, collaborative, diplomatic, and flexible style. Information for US Applicants For roles located in the US, the estimated salary range for this position is $112,400.00 to $ 174,500.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Role Summary: The Sr. Manager; Software Engineering leads a team responsible for reviewing business requirements and developing functional and technical design documentation. This role oversees the design and implementation of testing procedures for APIs, abstractions, and integration patterns to address distributed computing challenges, including end-to-end and integration testing. The Sr. Manager participates in design reviews, providing input on requirements, product designs, schedules, and potential issues, and works across the team to ensure productivity, predictability, and delivery of high-quality results. The position includes accountability for code review and the team's development and testing activities, as well as participation in proof of concepts and technical evaluations of new technologies. The Sr. Manager is expected to foster a collaborative environment, ensuring the team meets business needs and delivers robust solutions. All roles require digital fluency, including the ability to work with emerging technologies such as Generative AI tools (e.g. ChatGPT, Microsoft Copilot) and agentic development to support everyday work. Essential Functions: People Leadership: Direct, mentor, and build a high-performing team of 8+ software engineers. Drive career development, performance management, regular 1:1s, and goal setting. Team Execution & Delivery: Oversee end-to-end application development deliverables including unit design, coding, code reviews, testing, and release management. Resource & Capacity Planning: Manage team workload, sprint planning, hiring, onboarding, and resource allocation to meet project timelines and deliverables. Technical & Strategic Guidance: Collaborate with technical leads, architects, and product managers to define solution approaches, assess scope, and evaluate technical feasibility. Agile Leadership: Drive agile development workflows utilizing modern open-source, CI/CD, and DevOps tools to streamline continuous integration and delivery pipelines. Cross-Functional Collaboration: Partner closely with global cross-functional teams, including product management, QA, security, and operations, to resolve blockers and ensure aligned delivery. Compliance & Quality: Ensure development adheres to Visa Development Management Methodology, Technical Security Requirements, and Secure Software Development Lifecycle (SSDLC) protocols. Documentation & Process Improvement: Maintain clear software, operational, and architectural documentation while continually improving engineering practices and procedures. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 8+ years of relevant work experience and a Bachelors degree, OR 11+ years of relevant work experience. Experience building and supporting large-scale, high-performance, mission-critical applications. Strong hands-on software engineering experience, including coding, code reviews, and technical design. Proven ability to lead technical initiatives and drive architecture decisions. Experience with cloud-native technologies, distributed systems, APIs, and microservices. Experience supporting Tier-0 or highly available production systems. Ability to mentor engineers and provide technical leadership across engineering teams. Strong understanding of software engineering best practices, including CI/CD, testing, observability, and operational excellence Preferred Qualifications: 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD. 3+ years of direct people-management experience preferred; candidates who have led teams through technical influence, matrix leadership, or technical leadership without direct authority will also be considered Demonstrated experience leading software engineering teams, including delivery management, technical oversight, performance accountability, and talent development. Experience translating business and product requirements into scalable technical solutions, architecture decisions, delivery plans, and technical documentation. Proven ability to lead the design, development, testing, integration, deployment, and production support of complex, mission-critical applications. Strong experience overseeing API platforms, distributed systems, microservices, and enterprise integration patterns. Experience leading architecture and design reviews, evaluating technical tradeoffs, and ensuring solutions meet requirements for scalability, reliability, security, and performance. Experience establishing engineering standards and maintaining accountability for code quality, testing, secure development, release readiness, and production stability. Proven ability to manage delivery risks, dependencies, capacity, and priorities across multiple teams and cross-functional stakeholders. Experience evaluating emerging technologies, leading proofs of concept, and guiding their adoption based on business value, technical feasibility, risk, and operational readiness. Experience leading globally distributed engineering teams and collaborating across Product, Architecture, Security, SRE, Infrastructure, QA, and Operations. Strong understanding of distributed computing, cloud-native architecture, microservices, event-driven systems, and multi-region deployments. Experience building or operating large-scale, mission-critical systems on Google Cloud using technologies such as GKE, Cloud Run, Pub/Sub, Cloud Spanner, Cloud SQL, Bigtable, or Dataflow. Demonstrated success delivering secure, resilient, and high-quality solutions in a fast-paced environment with competing priorities and complex dependencies. Experience applying CI/CD, DevOps, infrastructure-as-code, observability, SRE, capacity planning, incident management, and disaster-recovery practices. Ability to communicate technical strategy, architecture decisions, delivery risks, and recommendations clearly to engineering teams, cross-functional partners, and senior leadership. Experience integrating emerging technologies, including AI-assisted engineering capabilities, into software development practices while maintaining appropriate security, quality, and governance controls. Information for US Applicants For roles located in the US, the estimated salary range for this position is $192,100.00 to $ 307,800.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
09/24/2026
Full time
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Role Summary: The Sr. Manager; Software Engineering leads a team responsible for reviewing business requirements and developing functional and technical design documentation. This role oversees the design and implementation of testing procedures for APIs, abstractions, and integration patterns to address distributed computing challenges, including end-to-end and integration testing. The Sr. Manager participates in design reviews, providing input on requirements, product designs, schedules, and potential issues, and works across the team to ensure productivity, predictability, and delivery of high-quality results. The position includes accountability for code review and the team's development and testing activities, as well as participation in proof of concepts and technical evaluations of new technologies. The Sr. Manager is expected to foster a collaborative environment, ensuring the team meets business needs and delivers robust solutions. All roles require digital fluency, including the ability to work with emerging technologies such as Generative AI tools (e.g. ChatGPT, Microsoft Copilot) and agentic development to support everyday work. Essential Functions: People Leadership: Direct, mentor, and build a high-performing team of 8+ software engineers. Drive career development, performance management, regular 1:1s, and goal setting. Team Execution & Delivery: Oversee end-to-end application development deliverables including unit design, coding, code reviews, testing, and release management. Resource & Capacity Planning: Manage team workload, sprint planning, hiring, onboarding, and resource allocation to meet project timelines and deliverables. Technical & Strategic Guidance: Collaborate with technical leads, architects, and product managers to define solution approaches, assess scope, and evaluate technical feasibility. Agile Leadership: Drive agile development workflows utilizing modern open-source, CI/CD, and DevOps tools to streamline continuous integration and delivery pipelines. Cross-Functional Collaboration: Partner closely with global cross-functional teams, including product management, QA, security, and operations, to resolve blockers and ensure aligned delivery. Compliance & Quality: Ensure development adheres to Visa Development Management Methodology, Technical Security Requirements, and Secure Software Development Lifecycle (SSDLC) protocols. Documentation & Process Improvement: Maintain clear software, operational, and architectural documentation while continually improving engineering practices and procedures. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 8+ years of relevant work experience and a Bachelors degree, OR 11+ years of relevant work experience. Experience building and supporting large-scale, high-performance, mission-critical applications. Strong hands-on software engineering experience, including coding, code reviews, and technical design. Proven ability to lead technical initiatives and drive architecture decisions. Experience with cloud-native technologies, distributed systems, APIs, and microservices. Experience supporting Tier-0 or highly available production systems. Ability to mentor engineers and provide technical leadership across engineering teams. Strong understanding of software engineering best practices, including CI/CD, testing, observability, and operational excellence Preferred Qualifications: 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD. 3+ years of direct people-management experience preferred; candidates who have led teams through technical influence, matrix leadership, or technical leadership without direct authority will also be considered Demonstrated experience leading software engineering teams, including delivery management, technical oversight, performance accountability, and talent development. Experience translating business and product requirements into scalable technical solutions, architecture decisions, delivery plans, and technical documentation. Proven ability to lead the design, development, testing, integration, deployment, and production support of complex, mission-critical applications. Strong experience overseeing API platforms, distributed systems, microservices, and enterprise integration patterns. Experience leading architecture and design reviews, evaluating technical tradeoffs, and ensuring solutions meet requirements for scalability, reliability, security, and performance. Experience establishing engineering standards and maintaining accountability for code quality, testing, secure development, release readiness, and production stability. Proven ability to manage delivery risks, dependencies, capacity, and priorities across multiple teams and cross-functional stakeholders. Experience evaluating emerging technologies, leading proofs of concept, and guiding their adoption based on business value, technical feasibility, risk, and operational readiness. Experience leading globally distributed engineering teams and collaborating across Product, Architecture, Security, SRE, Infrastructure, QA, and Operations. Strong understanding of distributed computing, cloud-native architecture, microservices, event-driven systems, and multi-region deployments. Experience building or operating large-scale, mission-critical systems on Google Cloud using technologies such as GKE, Cloud Run, Pub/Sub, Cloud Spanner, Cloud SQL, Bigtable, or Dataflow. Demonstrated success delivering secure, resilient, and high-quality solutions in a fast-paced environment with competing priorities and complex dependencies. Experience applying CI/CD, DevOps, infrastructure-as-code, observability, SRE, capacity planning, incident management, and disaster-recovery practices. Ability to communicate technical strategy, architecture decisions, delivery risks, and recommendations clearly to engineering teams, cross-functional partners, and senior leadership. Experience integrating emerging technologies, including AI-assisted engineering capabilities, into software development practices while maintaining appropriate security, quality, and governance controls. Information for US Applicants For roles located in the US, the estimated salary range for this position is $192,100.00 to $ 307,800.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Job Summary Software Development Engineers are expert problem-solvers and builders who design, implement, and improve software applications and systems. In this role, engineers spend approximately 60-75% of their time coding, working hands-on with code, data, and modern tools including AI-assisted development, cloud services, automation frameworks, and mobile technologies to deliver secure, scalable, and high-quality solutions that drive business outcomes in the fintech sector. This position focuses on developing innovative mobile applications, SDKs, and platform capabilities that enable secure authentication, digital identity, payment security, fraud prevention, and customer engagement experiences across Android and iOS platforms. Engineers collaborate with product managers, architects, designers, QA engineers, operations teams, and compliance partners to deliver resilient, secure, and scalable mobile solutions used by millions of consumers worldwide. All roles require digital fluency, including the ability to effectively leverage emerging technologies such as Generative AI tools (e.g., Microsoft Copilot, GitHub Copilot, ChatGPT, and Agentic Development workflows) to improve engineering productivity, software quality, and developer experience. Key Responsibilities: Software Engineering & Solution Delivery: Collaborate with stakeholders to determine requirements for product components and incorporate feedback into future designs and solutions. Translate functional requirements into system designs and communicate component interactions, ensuring alignment with business objectives and timelines. Design and develop product components, refine implementation plans, and participate in design reviews to ensure completeness and adherence to requirements. Contribute to project estimation, delivery planning, and risk identification. Lead by example in creating, implementing, and maintaining extensible, reusable, and maintainable code. Apply debugging, monitoring, and observability tools to resolve complex technical issues and identify opportunities for automation. Lead code reviews and drive adherence to coding standards, security requirements, and engineering best practices. Develop comprehensive testing strategies, identify coverage gaps, and proactively address defects to minimize customer impact. Leverage operational metrics, analytics, and monitoring data to improve product reliability and performance. Participate in on-call rotations and assist with incident response, troubleshooting, and production support activities. Continuously learn emerging technologies and contribute innovative solutions that improve products, development processes, and engineering practices. Mobile Engineering: Design, develop, test, deploy, and support native Android and/or iOS applications. Build scalable, secure, resilient, and high-performing mobile experiences. Collaborate closely with backend, platform, product, and security teams to deliver customer-focused solutions. Drive architecture decisions and engineering standards across mobile platforms. Optimize performance, responsiveness, memory utilization, and battery efficiency. Support production troubleshooting and continuous service improvement initiatives. Mobile Platform Engineering, SDK Development & Release Automation (Strong Plus) Candidates with experience in mobile platform engineering, SDK development, and release automation will be highly preferred. Design, develop, and maintain scalable, secure, and high-performing mobile applications, SDKs, and reusable frameworks that support enterprise-grade customer experiences across Android and iOS platforms. Build and evolve developer-facing SDKs, APIs, and platform capabilities, while creating comprehensive technical documentation, sample applications, and integration guides that enable successful adoption by internal teams and external partners. Lead the implementation of modern mobile DevOps practices by designing and maintaining automated CI/CD pipelines that streamline development, testing, security validation, deployment, and release management processes. Own the end-to-end mobile release lifecycle, including SDK versioning, backward compatibility, code signing, application publishing, App Store and Google Play deployments, rollout strategies, and production support. Drive continuous improvement in engineering productivity, developer experience, platform reliability, and customer integration success through automation, tooling, operational excellence, and engineering best practices. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 5+ years of relevant work experience with a Bachelor's Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience. Experience in software engineering or a directly related field. Experience developing and supporting native mobile applications on Android and/or iOS platforms. Preferred Qualifications: 6+ years of work experience with a Bachelor's Degree or 4+ years of relevant experience with an Advanced Degree (e.g., Master's, MBA, JD, MD) or up to 3 years of relevant experience with a PhD. Experience leading technical initiatives, mentoring engineers, and driving engineering best practices with or without direct reports. Experience designing, building, and maintaining scalable software solutions and services. Experience creating and maintaining test strategies, test plans, and quality assurance processes. Experience debugging, troubleshooting, and resolving complex software issues in production environments. Experience collaborating with cross-functional teams to deliver technical solutions and business outcomes. Experience conducting code reviews and enforcing coding standards, security requirements, and software engineering best practices. Experience building, enhancing, or supporting developer tools, automation capabilities, and engineering productivity initiatives. Experience designing, developing, and supporting enterprise-grade Android and/or iOS applications. Experience building and maintaining mobile SDKs, reusable libraries, and developer-facing APIs. Experience implementing mobile CI/CD pipelines, deployment automation, release engineering, and mobile DevOps practices. Experience building and testing enterprise-scale applications, services, and mobile platforms. Experience working on customer-facing products, technical teams, or platform engineering organizations. Experience with mobile deployment and delivery tools such as GitHub Actions, Jenkins, Azure DevOps, Fastlane, Bitrise, CocoaPods, Swift Package Manager (SPM), Google Play Console, and App Store Connect. Experience in Payments, FinTech, Digital Identity, Authentication, Fraud Prevention, Risk Management, or Cybersecurity domains. Experience leveraging Generative AI and AI-assisted development tools such as Microsoft Copilot, GitHub Copilot, ChatGPT, or similar technologies to improve software delivery and developer productivity. Information for US Applicants For roles located in the US, the estimated salary range for this position is $137.200,00 to $ 219.700,00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
09/24/2026
Full time
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Job Summary Software Development Engineers are expert problem-solvers and builders who design, implement, and improve software applications and systems. In this role, engineers spend approximately 60-75% of their time coding, working hands-on with code, data, and modern tools including AI-assisted development, cloud services, automation frameworks, and mobile technologies to deliver secure, scalable, and high-quality solutions that drive business outcomes in the fintech sector. This position focuses on developing innovative mobile applications, SDKs, and platform capabilities that enable secure authentication, digital identity, payment security, fraud prevention, and customer engagement experiences across Android and iOS platforms. Engineers collaborate with product managers, architects, designers, QA engineers, operations teams, and compliance partners to deliver resilient, secure, and scalable mobile solutions used by millions of consumers worldwide. All roles require digital fluency, including the ability to effectively leverage emerging technologies such as Generative AI tools (e.g., Microsoft Copilot, GitHub Copilot, ChatGPT, and Agentic Development workflows) to improve engineering productivity, software quality, and developer experience. Key Responsibilities: Software Engineering & Solution Delivery: Collaborate with stakeholders to determine requirements for product components and incorporate feedback into future designs and solutions. Translate functional requirements into system designs and communicate component interactions, ensuring alignment with business objectives and timelines. Design and develop product components, refine implementation plans, and participate in design reviews to ensure completeness and adherence to requirements. Contribute to project estimation, delivery planning, and risk identification. Lead by example in creating, implementing, and maintaining extensible, reusable, and maintainable code. Apply debugging, monitoring, and observability tools to resolve complex technical issues and identify opportunities for automation. Lead code reviews and drive adherence to coding standards, security requirements, and engineering best practices. Develop comprehensive testing strategies, identify coverage gaps, and proactively address defects to minimize customer impact. Leverage operational metrics, analytics, and monitoring data to improve product reliability and performance. Participate in on-call rotations and assist with incident response, troubleshooting, and production support activities. Continuously learn emerging technologies and contribute innovative solutions that improve products, development processes, and engineering practices. Mobile Engineering: Design, develop, test, deploy, and support native Android and/or iOS applications. Build scalable, secure, resilient, and high-performing mobile experiences. Collaborate closely with backend, platform, product, and security teams to deliver customer-focused solutions. Drive architecture decisions and engineering standards across mobile platforms. Optimize performance, responsiveness, memory utilization, and battery efficiency. Support production troubleshooting and continuous service improvement initiatives. Mobile Platform Engineering, SDK Development & Release Automation (Strong Plus) Candidates with experience in mobile platform engineering, SDK development, and release automation will be highly preferred. Design, develop, and maintain scalable, secure, and high-performing mobile applications, SDKs, and reusable frameworks that support enterprise-grade customer experiences across Android and iOS platforms. Build and evolve developer-facing SDKs, APIs, and platform capabilities, while creating comprehensive technical documentation, sample applications, and integration guides that enable successful adoption by internal teams and external partners. Lead the implementation of modern mobile DevOps practices by designing and maintaining automated CI/CD pipelines that streamline development, testing, security validation, deployment, and release management processes. Own the end-to-end mobile release lifecycle, including SDK versioning, backward compatibility, code signing, application publishing, App Store and Google Play deployments, rollout strategies, and production support. Drive continuous improvement in engineering productivity, developer experience, platform reliability, and customer integration success through automation, tooling, operational excellence, and engineering best practices. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 5+ years of relevant work experience with a Bachelor's Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience. Experience in software engineering or a directly related field. Experience developing and supporting native mobile applications on Android and/or iOS platforms. Preferred Qualifications: 6+ years of work experience with a Bachelor's Degree or 4+ years of relevant experience with an Advanced Degree (e.g., Master's, MBA, JD, MD) or up to 3 years of relevant experience with a PhD. Experience leading technical initiatives, mentoring engineers, and driving engineering best practices with or without direct reports. Experience designing, building, and maintaining scalable software solutions and services. Experience creating and maintaining test strategies, test plans, and quality assurance processes. Experience debugging, troubleshooting, and resolving complex software issues in production environments. Experience collaborating with cross-functional teams to deliver technical solutions and business outcomes. Experience conducting code reviews and enforcing coding standards, security requirements, and software engineering best practices. Experience building, enhancing, or supporting developer tools, automation capabilities, and engineering productivity initiatives. Experience designing, developing, and supporting enterprise-grade Android and/or iOS applications. Experience building and maintaining mobile SDKs, reusable libraries, and developer-facing APIs. Experience implementing mobile CI/CD pipelines, deployment automation, release engineering, and mobile DevOps practices. Experience building and testing enterprise-scale applications, services, and mobile platforms. Experience working on customer-facing products, technical teams, or platform engineering organizations. Experience with mobile deployment and delivery tools such as GitHub Actions, Jenkins, Azure DevOps, Fastlane, Bitrise, CocoaPods, Swift Package Manager (SPM), Google Play Console, and App Store Connect. Experience in Payments, FinTech, Digital Identity, Authentication, Fraud Prevention, Risk Management, or Cybersecurity domains. Experience leveraging Generative AI and AI-assisted development tools such as Microsoft Copilot, GitHub Copilot, ChatGPT, or similar technologies to improve software delivery and developer productivity. Information for US Applicants For roles located in the US, the estimated salary range for this position is $137.200,00 to $ 219.700,00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Shape the Future of Enterprise AI at Scale We are looking for a seasoned Software Architect (Sr. Consultant title at Visa) to join our Corporate Generative AI Technologies team. In this role, you will help architect, build, and scale enterprise-grade Generative AI and agentic applications. This is a senior, hands-on engineering role for someone who brings strong system design judgment, full-stack product engineering depth, and the ability to translate complex business workflows into scalable, reliable AI-enabled automation solutions. You will work on platforms and applications that use AI-native application patterns, including large language models, agentic workflows, retrieval-augmented generation, tool orchestration, API integrations, ETL pipelines, and data systems to transform business processes into intelligent, reliable, and scalable workflows. You will help solve hard engineering problems such as decomposing complex workflows into reusable agents, designing secure human-in-the-loop systems, and building production-grade GenAI applications that can be monitored, evaluated, governed, and continuously improved. As a Senior Consultant (Staff Software Architect), you will operate with a high degree of autonomy, ownership, and technical judgment while collaborating closely with your manager and the broader engineering team to align on technical direction. You will be responsible for building high-quality software while also influencing system design decisions, architectural direction, engineering standards, and best practices across the team. Key Responsibilities Design, build, and scale enterprise-grade GenAI and agentic applications, with a strong focus on maintainable, secure, scalable, reliable, and production-ready architecture. Own architecture and delivery of major GenAI subsystems; lead design reviews; mentor I4/I5 engineers; define reusable patterns and production standards. Apply strong system design judgment to build full-stack, production-grade applications with robust API design, workflow orchestration, secure data flows, observability, and operational readiness. Build modern frontend experiences using React and established frontend patterns, including component-based architecture, state management, reusable UI components, accessibility, performance optimization, and seamless integration with backend APIs and AI-enabled services. Design and implement scalable backend services using Python, Node.js, and/or Java, including secure APIs, asynchronous processing, background jobs, authentication, authorization, logging, error handling, and system resiliency. Work with databases like PostgreSQL, Redis, vector databases, and related technologies, including schema design, indexing strategies, query optimization, transaction management, caching patterns, migrations, and data access patterns. Implement backend capabilities for AI-enabled and agentic workflow automation, including intent routing, agent orchestration, tool execution, API integrations, data retrieval, multi-step execution, workflow state management, human approval flows, guardrails, auditability, and enterprise system integration. Develop AI-native capabilities using OpenAI, Anthropic, and related LLM APIs/SDKs, including prompt orchestration, tool/function calling, structured outputs, streaming responses, model routing, and evaluation patterns. Apply deep knowledge of modern LLM capabilities to make informed engineering decisions around model selection, context management, latency, cost, reliability, output quality, safety, and user experience. Design and implement retrieval-augmented generation solutions, including ingestion pipelines, ETL workflows, embeddings, vector database integration, retrieval strategies, relevance ranking, grounding, and retrieval quality evaluation. Build and deploy cloud-native applications using containers, DevOps practices, CI/CD pipelines, automated testing, monitoring, and operational automation. Work closely with engineering teammates and cross-functional partners to align with team priorities, translate ambiguous requirements into proof-of-concepts, then evolve them into production-quality solutions through shared ownership and hands-on collaboration. Implement observability and operational excellence for GenAI applications, including end-to-end tracing, workflow telemetry, model evaluation, and monitoring to ensure secure, reliable, and production-ready AI systems. Technical Skills: Languages & Frameworks: Python, FastAPI, LangGraph Cloud & Infrastructure: AWS, Azure, Docker, Kubernetes, ECS DevOps: Git, CI/CD pipelines Anthropic / OpenAI SDKs, MCP, A2A Databases & Storage: Pinecone, Redis, PostgreSQL Monitoring & Governance: Prometheus, Grafana, audit logging, access control Frontend: ReactJS, HTML, CSS, JavaScript Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 8+ years of relevant work experience with a Bachelor's Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work experience. At least 8 years of experience designing, building, and operating complex distributed software systems in production environments. Strong background in software architecture, distributed systems, API design, cloud-native platforms, and data-intensive applications. Experience with cloud platforms, containerized environments, CI/CD systems, and observability tooling. Hands-on experience with React and backend development using Python, Node.js, Java, or similar languages. Strong communication skills with the ability to translate complex technical concepts to business stakeholders Preferred Qualifications: 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD Experience building AI-enabled, data-driven, workflow automation, search, conversational, or machine learning-powered applications is highly valued. Direct experience with Generative AI technologies, LLMs, RAG architectures, or agentic systems is preferred but not required for candidates with exceptional software architecture and distributed systems experience. Experience driving technical strategy and influencing architectural direction across organizations. Expertise in system design tradeoffs involving scalability, security, reliability, performance, cost, and developer productivity. Deep understanding of modern LLM ecosystems, agent frameworks, retrieval architectures, and enterprise AI deployment patterns. Familiarity with modern AI architectures including agentic workflows, memory systems, tool orchestration, MCP, and A2A frameworks Proven ability to lead cross-functional AI initiatives, including PoC development, stakeholder alignment, and enterprise rollout. Information for US Applicants For roles located in the US, the estimated salary range for this position is $162,500.00 to $ 260,400.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
09/24/2026
Full time
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Shape the Future of Enterprise AI at Scale We are looking for a seasoned Software Architect (Sr. Consultant title at Visa) to join our Corporate Generative AI Technologies team. In this role, you will help architect, build, and scale enterprise-grade Generative AI and agentic applications. This is a senior, hands-on engineering role for someone who brings strong system design judgment, full-stack product engineering depth, and the ability to translate complex business workflows into scalable, reliable AI-enabled automation solutions. You will work on platforms and applications that use AI-native application patterns, including large language models, agentic workflows, retrieval-augmented generation, tool orchestration, API integrations, ETL pipelines, and data systems to transform business processes into intelligent, reliable, and scalable workflows. You will help solve hard engineering problems such as decomposing complex workflows into reusable agents, designing secure human-in-the-loop systems, and building production-grade GenAI applications that can be monitored, evaluated, governed, and continuously improved. As a Senior Consultant (Staff Software Architect), you will operate with a high degree of autonomy, ownership, and technical judgment while collaborating closely with your manager and the broader engineering team to align on technical direction. You will be responsible for building high-quality software while also influencing system design decisions, architectural direction, engineering standards, and best practices across the team. Key Responsibilities Design, build, and scale enterprise-grade GenAI and agentic applications, with a strong focus on maintainable, secure, scalable, reliable, and production-ready architecture. Own architecture and delivery of major GenAI subsystems; lead design reviews; mentor I4/I5 engineers; define reusable patterns and production standards. Apply strong system design judgment to build full-stack, production-grade applications with robust API design, workflow orchestration, secure data flows, observability, and operational readiness. Build modern frontend experiences using React and established frontend patterns, including component-based architecture, state management, reusable UI components, accessibility, performance optimization, and seamless integration with backend APIs and AI-enabled services. Design and implement scalable backend services using Python, Node.js, and/or Java, including secure APIs, asynchronous processing, background jobs, authentication, authorization, logging, error handling, and system resiliency. Work with databases like PostgreSQL, Redis, vector databases, and related technologies, including schema design, indexing strategies, query optimization, transaction management, caching patterns, migrations, and data access patterns. Implement backend capabilities for AI-enabled and agentic workflow automation, including intent routing, agent orchestration, tool execution, API integrations, data retrieval, multi-step execution, workflow state management, human approval flows, guardrails, auditability, and enterprise system integration. Develop AI-native capabilities using OpenAI, Anthropic, and related LLM APIs/SDKs, including prompt orchestration, tool/function calling, structured outputs, streaming responses, model routing, and evaluation patterns. Apply deep knowledge of modern LLM capabilities to make informed engineering decisions around model selection, context management, latency, cost, reliability, output quality, safety, and user experience. Design and implement retrieval-augmented generation solutions, including ingestion pipelines, ETL workflows, embeddings, vector database integration, retrieval strategies, relevance ranking, grounding, and retrieval quality evaluation. Build and deploy cloud-native applications using containers, DevOps practices, CI/CD pipelines, automated testing, monitoring, and operational automation. Work closely with engineering teammates and cross-functional partners to align with team priorities, translate ambiguous requirements into proof-of-concepts, then evolve them into production-quality solutions through shared ownership and hands-on collaboration. Implement observability and operational excellence for GenAI applications, including end-to-end tracing, workflow telemetry, model evaluation, and monitoring to ensure secure, reliable, and production-ready AI systems. Technical Skills: Languages & Frameworks: Python, FastAPI, LangGraph Cloud & Infrastructure: AWS, Azure, Docker, Kubernetes, ECS DevOps: Git, CI/CD pipelines Anthropic / OpenAI SDKs, MCP, A2A Databases & Storage: Pinecone, Redis, PostgreSQL Monitoring & Governance: Prometheus, Grafana, audit logging, access control Frontend: ReactJS, HTML, CSS, JavaScript Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 8+ years of relevant work experience with a Bachelor's Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work experience. At least 8 years of experience designing, building, and operating complex distributed software systems in production environments. Strong background in software architecture, distributed systems, API design, cloud-native platforms, and data-intensive applications. Experience with cloud platforms, containerized environments, CI/CD systems, and observability tooling. Hands-on experience with React and backend development using Python, Node.js, Java, or similar languages. Strong communication skills with the ability to translate complex technical concepts to business stakeholders Preferred Qualifications: 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD Experience building AI-enabled, data-driven, workflow automation, search, conversational, or machine learning-powered applications is highly valued. Direct experience with Generative AI technologies, LLMs, RAG architectures, or agentic systems is preferred but not required for candidates with exceptional software architecture and distributed systems experience. Experience driving technical strategy and influencing architectural direction across organizations. Expertise in system design tradeoffs involving scalability, security, reliability, performance, cost, and developer productivity. Deep understanding of modern LLM ecosystems, agent frameworks, retrieval architectures, and enterprise AI deployment patterns. Familiarity with modern AI architectures including agentic workflows, memory systems, tool orchestration, MCP, and A2A frameworks Proven ability to lead cross-functional AI initiatives, including PoC development, stakeholder alignment, and enterprise rollout. Information for US Applicants For roles located in the US, the estimated salary range for this position is $162,500.00 to $ 260,400.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description As a Senior Consultant Data Engineer, you'll join our Value Added Services - Digital Marketing & Engagement organization. You'll help design, enhance, and build our Visa data token platform within an agile development environment. You'll collaborate with colleagues who will both support and challenge you daily. You will take on leadership roles in multiple projects, building full-stack development of real-time scoring services These services are designed to be highly available, secure, scalable, and resilient. You'll also spearhead the development of next-generation software, incorporating machine learning and deep learning technologies. We believe in self-managing Agile teams that build end-to-end products, emphasizing unit testing, code reviews, and continuous integration for excellent code quality. You'll witness the code you write move to production within just a few days. This role involves driving innovation to differentiate our products from competitors and delight customers with accelerated time-to-market delivery. A strong background in data engineering with experience in Hadoop, Spark, and Scala is also essential for effective performance in this role. If this sounds exciting, we'd love to chat with you further about our work culture, environment, and whether this would be a good fit for you Essential Functions: You'll be the face of the team representing us in various technical forums. You'll help our customers achieve their business goals by understanding their requirements. You will build deep partnerships with product management to make sure that the products we are building deliver real value. You'll analyze business requirements and architect highly secure, robust, and scalable solutions. You'll drive internal proof of concept initiatives. When needed, quickly design and implement a prototype of a system or component with a proper architecture, and then lead or hand over to engineering team to implement. You'll champion efforts to architect, design and implement various components of our global transaction processing systems. Your DNA will include following and creating software best practices and processes. You'll coach and mentor your team members and help them grow professionally. You will also create an atmosphere of mutual accountability. You'll play key role in meetings and discussions with cross-functional and non-technical teams. This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications • 8 or more years of relevant work experience with a Bachelor Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD Preferred Qualifications • 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD • Demonstrated leadership in teams delivering high-quality, large-scale, enterprise-class applications. • Solid experience in big data engineering, with working knowledge of Hadoop, Apache Spark, Python, and SQL. • Proficiency in creating and managing large-scale data pipelines, handling complex, high-volume, multi-dimensional data, and machine learning models. • Expertise in developing ETL processes, maintaining Spark pipelines, and productizing AI/ML models. • Proficient in popular technologies and cloud services, such as Kafka, Redis, Flink, TensorFlow, Triton, AWS services, and containerized environments (Docker and Kubernates) • Skilled in Unix/Shell or Python scripting, using scheduling tools like Airflow and Control-M, and maintaining OPS tools. • Familiarity with Agile development incorporating TDD, CI/CD, and relational and non-relational databases. • Proven track record of building applications adhering to industry best practices for reliability, availability, scalability, and operability. • Ability to manage component security analysis and collaborate with security teams. • Strong work ethic, focus on immediate goals, and proven experience as a technical leader. • Passion for mentoring juniors and helping them reach new heights. • Demonstrated proficiency with programming languages, scripting languages, code quality initiatives, and operating systems. • Excellent communication and interpersonal skills, and a strong team player. Information for US Applicants For roles located in the US, the estimated salary range for this position is $153,500.00 to $ 245,900.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
09/24/2026
Full time
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description As a Senior Consultant Data Engineer, you'll join our Value Added Services - Digital Marketing & Engagement organization. You'll help design, enhance, and build our Visa data token platform within an agile development environment. You'll collaborate with colleagues who will both support and challenge you daily. You will take on leadership roles in multiple projects, building full-stack development of real-time scoring services These services are designed to be highly available, secure, scalable, and resilient. You'll also spearhead the development of next-generation software, incorporating machine learning and deep learning technologies. We believe in self-managing Agile teams that build end-to-end products, emphasizing unit testing, code reviews, and continuous integration for excellent code quality. You'll witness the code you write move to production within just a few days. This role involves driving innovation to differentiate our products from competitors and delight customers with accelerated time-to-market delivery. A strong background in data engineering with experience in Hadoop, Spark, and Scala is also essential for effective performance in this role. If this sounds exciting, we'd love to chat with you further about our work culture, environment, and whether this would be a good fit for you Essential Functions: You'll be the face of the team representing us in various technical forums. You'll help our customers achieve their business goals by understanding their requirements. You will build deep partnerships with product management to make sure that the products we are building deliver real value. You'll analyze business requirements and architect highly secure, robust, and scalable solutions. You'll drive internal proof of concept initiatives. When needed, quickly design and implement a prototype of a system or component with a proper architecture, and then lead or hand over to engineering team to implement. You'll champion efforts to architect, design and implement various components of our global transaction processing systems. Your DNA will include following and creating software best practices and processes. You'll coach and mentor your team members and help them grow professionally. You will also create an atmosphere of mutual accountability. You'll play key role in meetings and discussions with cross-functional and non-technical teams. This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications • 8 or more years of relevant work experience with a Bachelor Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD Preferred Qualifications • 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD • Demonstrated leadership in teams delivering high-quality, large-scale, enterprise-class applications. • Solid experience in big data engineering, with working knowledge of Hadoop, Apache Spark, Python, and SQL. • Proficiency in creating and managing large-scale data pipelines, handling complex, high-volume, multi-dimensional data, and machine learning models. • Expertise in developing ETL processes, maintaining Spark pipelines, and productizing AI/ML models. • Proficient in popular technologies and cloud services, such as Kafka, Redis, Flink, TensorFlow, Triton, AWS services, and containerized environments (Docker and Kubernates) • Skilled in Unix/Shell or Python scripting, using scheduling tools like Airflow and Control-M, and maintaining OPS tools. • Familiarity with Agile development incorporating TDD, CI/CD, and relational and non-relational databases. • Proven track record of building applications adhering to industry best practices for reliability, availability, scalability, and operability. • Ability to manage component security analysis and collaborate with security teams. • Strong work ethic, focus on immediate goals, and proven experience as a technical leader. • Passion for mentoring juniors and helping them reach new heights. • Demonstrated proficiency with programming languages, scripting languages, code quality initiatives, and operating systems. • Excellent communication and interpersonal skills, and a strong team player. Information for US Applicants For roles located in the US, the estimated salary range for this position is $153,500.00 to $ 245,900.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Software Development Engineers are expert problem-solvers and builders who design, implement, and improve software applications and systems. In this role, engineers spend approximately 60-75% of their time coding, working hands-on with code, data, and modern tools (including AI-assisted development, cloud services, and automation frameworks) to deliver secure, scalable, and high-quality technology solutions that drive business outcomes in the fintech sector. They collaborate with cross-functional teams - product managers, designers, data scientists, QA, operations, and compliance - to translate business requirements into robust technical solutions, all while adhering to best practices, security standards, and regulatory requirements. All roles require digital fluency, including the ability to work with emerging technologies such as Generative AI tools (e.g. ChatGPT, Microsoft Copilot) to support everyday work. Key Responsibilities: Collaborate with stakeholders to interpret requirements for project components and incorporate feedback into future designs or solution fixes. Translate business requirements by verifying assumptions and escalating potential design issues to appropriate stakeholders. Participate in system design and architecture, refining code plans and contributing to design documentation. Contribute to project estimation and escalate issues that may cause delays. Develop, implement, and maintain code for products, services, or components, applying coding patterns, guidelines, and best practices. Apply debugging tools to verify assumptions and proactively flag issues before they occur. Participate in code reviews to ensure coding standards are followed and address routine pull requests. Create test plans and configure testing procedures to identify and resolve defects for multiple features. Respond to support requests during on-call rotations, troubleshooting issues and deploying fixes under guidance. Leverage and build knowledge of software developer tools to create, debug, and maintain code for components. Remain current in skills by investing time in training resources to improve product availability, reliability, efficiency, observability, and performance. This is a hybrid position. Expectationof days in the office will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 2 or more years of work experience with a Bachelor's Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD) Preferred Qualifications: 3 or more years of work experience with a Bachelor's Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD). 3+ years of relevant work experience and a Bachelor's degree, OR 5+ years of relevant work experience. Experience in technologies/software systems or a directly related field (minimum two years). Experience in developing and/or implementing web-based applications including front-end and backend (minimum two years). Experience in system design and architecture for product components. Experience in debugging and troubleshooting software issues. Experience in code review and applying coding standards. Experience in test planning and execution for software features. Experience in responding to support requests and deploying fixes. Experience in using software developer tools for code creation and maintenance. Experience in Compliance is a plus Experience building and testing enterprise-scale web services (minimum one year). Experience working on client-facing project or technical teams (minimum one year). Experience in integrating feedback into design and solution fixes. Experience in mentoring junior engineers and collaborating with cross-functional teams. Experience with Generative AI (GenAI) - LLM agents, RAG systems, NLP, AI assisted investigations Information for US Applicants For roles located in the US, the estimated salary range for this position is $123,000.00 to $ 190,900.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
09/24/2026
Full time
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Software Development Engineers are expert problem-solvers and builders who design, implement, and improve software applications and systems. In this role, engineers spend approximately 60-75% of their time coding, working hands-on with code, data, and modern tools (including AI-assisted development, cloud services, and automation frameworks) to deliver secure, scalable, and high-quality technology solutions that drive business outcomes in the fintech sector. They collaborate with cross-functional teams - product managers, designers, data scientists, QA, operations, and compliance - to translate business requirements into robust technical solutions, all while adhering to best practices, security standards, and regulatory requirements. All roles require digital fluency, including the ability to work with emerging technologies such as Generative AI tools (e.g. ChatGPT, Microsoft Copilot) to support everyday work. Key Responsibilities: Collaborate with stakeholders to interpret requirements for project components and incorporate feedback into future designs or solution fixes. Translate business requirements by verifying assumptions and escalating potential design issues to appropriate stakeholders. Participate in system design and architecture, refining code plans and contributing to design documentation. Contribute to project estimation and escalate issues that may cause delays. Develop, implement, and maintain code for products, services, or components, applying coding patterns, guidelines, and best practices. Apply debugging tools to verify assumptions and proactively flag issues before they occur. Participate in code reviews to ensure coding standards are followed and address routine pull requests. Create test plans and configure testing procedures to identify and resolve defects for multiple features. Respond to support requests during on-call rotations, troubleshooting issues and deploying fixes under guidance. Leverage and build knowledge of software developer tools to create, debug, and maintain code for components. Remain current in skills by investing time in training resources to improve product availability, reliability, efficiency, observability, and performance. This is a hybrid position. Expectationof days in the office will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 2 or more years of work experience with a Bachelor's Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD) Preferred Qualifications: 3 or more years of work experience with a Bachelor's Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD). 3+ years of relevant work experience and a Bachelor's degree, OR 5+ years of relevant work experience. Experience in technologies/software systems or a directly related field (minimum two years). Experience in developing and/or implementing web-based applications including front-end and backend (minimum two years). Experience in system design and architecture for product components. Experience in debugging and troubleshooting software issues. Experience in code review and applying coding standards. Experience in test planning and execution for software features. Experience in responding to support requests and deploying fixes. Experience in using software developer tools for code creation and maintenance. Experience in Compliance is a plus Experience building and testing enterprise-scale web services (minimum one year). Experience working on client-facing project or technical teams (minimum one year). Experience in integrating feedback into design and solution fixes. Experience in mentoring junior engineers and collaborating with cross-functional teams. Experience with Generative AI (GenAI) - LLM agents, RAG systems, NLP, AI assisted investigations Information for US Applicants For roles located in the US, the estimated salary range for this position is $123,000.00 to $ 190,900.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Software Development Engineers are expert problem-solvers and builders who design, implement, and improve software applications and systems. In this role, engineers spend approximately 60-75% of their time coding, working hands-on with code, data, and modern tools including AI-assisted development, cloud services, and automation frameworks to deliver secure, scalable, and high-quality technology solutions. This position focuses on developing mobile applications and SDKs for Android and iOS platforms that support authentication, digital identity, payment security, and customer-facing experiences. Engineers collaborate with product managers, architects, designers, QA engineers, and operations teams to build reliable, secure, and scalable mobile solutions. All roles require digital fluency, including the ability to use emerging technologies such as Microsoft Copilot, GitHub Copilot, ChatGPT, and other AI-assisted development tools to improve productivity and software quality. Key Responsibilities: Collaborate with stakeholders to understand requirements and translate business needs into technical solutions. Design, develop, test, and maintain mobile applications and software components. Participate in design discussions, code reviews, and technical troubleshooting. Create and execute test plans and address defects to improve product quality. Debug and resolve software issues across development, test, and production environments. Contribute to CI/CD, automation, and engineering productivity initiatives. Monitor applications, analyze system behavior, and help improve reliability and performance. Participate in on-call support and incident resolution activities as needed. Continuously learn new technologies and contribute to engineering best practices. Mobile Engineering Responsibilities: Design, develop, test, and support native Android and/or iOS applications. Build secure, scalable, and high-performing mobile experiences. Collaborate with backend, platform, product, and security teams. Integrate mobile applications with APIs and backend services. Contribute to SDK development, application releases, and deployment activities. Support performance optimization, monitoring, and production troubleshooting Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: Bachelor's degree, OR 3+ years of relevant work experience Preferred Qualifications: 2+ years of relevant work experience with a Bachelor's Degree, or an Advanced Degree in Computer Science, Software Engineering, or a related technical field. 3+ years of software engineering or mobile application development experience. Experience creating and executing test plans and validation activities. Experience debugging and troubleshooting software issues. Experience collaborating with cross-functional teams to deliver technical solutions. Experience participating in code reviews and applying coding standards. Experience working with source control systems and Agile development methodologies. Experience developing Android applications using Kotlin and/or Java. Experience developing iOS applications using Swift. Experience integrating REST APIs and backend services. Experience developing reusable mobile libraries or SDKs. Experience with mobile CI/CD pipelines, deployment automation, and release processes. Familiarity with GitHub Actions, Jenkins, Azure DevOps, Fastlane, Bitrise, CocoaPods, Swift Package Manager, Google Play Console, and App Store Connect. Experience building customer-facing mobile applications. Exposure to Payments, FinTech, Authentication, Digital Identity, Fraud Prevention, or Cybersecurity solutions. Experience using AI-assisted development tools such as Microsoft Copilot, GitHub Copilot, or similar technologies. Information for US Applicants For roles located in the US, the estimated salary range for this position is $95.500,00 to $ 148.300,00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
09/24/2026
Full time
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Software Development Engineers are expert problem-solvers and builders who design, implement, and improve software applications and systems. In this role, engineers spend approximately 60-75% of their time coding, working hands-on with code, data, and modern tools including AI-assisted development, cloud services, and automation frameworks to deliver secure, scalable, and high-quality technology solutions. This position focuses on developing mobile applications and SDKs for Android and iOS platforms that support authentication, digital identity, payment security, and customer-facing experiences. Engineers collaborate with product managers, architects, designers, QA engineers, and operations teams to build reliable, secure, and scalable mobile solutions. All roles require digital fluency, including the ability to use emerging technologies such as Microsoft Copilot, GitHub Copilot, ChatGPT, and other AI-assisted development tools to improve productivity and software quality. Key Responsibilities: Collaborate with stakeholders to understand requirements and translate business needs into technical solutions. Design, develop, test, and maintain mobile applications and software components. Participate in design discussions, code reviews, and technical troubleshooting. Create and execute test plans and address defects to improve product quality. Debug and resolve software issues across development, test, and production environments. Contribute to CI/CD, automation, and engineering productivity initiatives. Monitor applications, analyze system behavior, and help improve reliability and performance. Participate in on-call support and incident resolution activities as needed. Continuously learn new technologies and contribute to engineering best practices. Mobile Engineering Responsibilities: Design, develop, test, and support native Android and/or iOS applications. Build secure, scalable, and high-performing mobile experiences. Collaborate with backend, platform, product, and security teams. Integrate mobile applications with APIs and backend services. Contribute to SDK development, application releases, and deployment activities. Support performance optimization, monitoring, and production troubleshooting Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: Bachelor's degree, OR 3+ years of relevant work experience Preferred Qualifications: 2+ years of relevant work experience with a Bachelor's Degree, or an Advanced Degree in Computer Science, Software Engineering, or a related technical field. 3+ years of software engineering or mobile application development experience. Experience creating and executing test plans and validation activities. Experience debugging and troubleshooting software issues. Experience collaborating with cross-functional teams to deliver technical solutions. Experience participating in code reviews and applying coding standards. Experience working with source control systems and Agile development methodologies. Experience developing Android applications using Kotlin and/or Java. Experience developing iOS applications using Swift. Experience integrating REST APIs and backend services. Experience developing reusable mobile libraries or SDKs. Experience with mobile CI/CD pipelines, deployment automation, and release processes. Familiarity with GitHub Actions, Jenkins, Azure DevOps, Fastlane, Bitrise, CocoaPods, Swift Package Manager, Google Play Console, and App Store Connect. Experience building customer-facing mobile applications. Exposure to Payments, FinTech, Authentication, Digital Identity, Fraud Prevention, or Cybersecurity solutions. Experience using AI-assisted development tools such as Microsoft Copilot, GitHub Copilot, or similar technologies. Information for US Applicants For roles located in the US, the estimated salary range for this position is $95.500,00 to $ 148.300,00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Role Summary: Sr. Data Engineers are responsible for collaborating with stakeholders, including product teams, business partners, and cybersecurity, to identify and clarify requirements for data-driven features and products. They independently understand the data ecosystem, security, privacy, and retention requirements necessary to support business and product features. Sr. Data Engineers create and document technical designs for components, identify systems, architectures, tools, and storage needs, and present technical solutions to peers. They stay current with market trends and industry dynamics, applying this knowledge to drive innovation and ensure the safety and security of product components. All roles require digital fluency, including the ability to work with emerging technologies such as Generative AI tools (e.g. ChatGPT, Microsoft Copilot) to support everyday work. Key Responsibilities: Collaborate proactively with stakeholders to clarify requirements and identify key product stakeholders. Review technical requirements, escalate potential design issues, and create component designs and documentation. Implement code, apply coding patterns and best practices, and adhere to security requirements. Participate in code reviews, apply feedback, and take ownership of data products or pipeline components. Conduct unit testing, coding standards, and security scans; participate in user acceptance testing. Build tools and simple automation processes for transforming, managing, accessing, deploying, and monitoring data processes. Create queries to extract and compile raw data, implement orchestration techniques, and validate data quality. Ensure adherence to data management principles, governance, and performance monitoring protocols. Contribute to troubleshooting guidance and procedures for reviewing and fixing problems flagged by testing. Address routine client requests requiring technical knowledge and support software upgrades and server patches for security remediation. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience. Preferred Qualifications: Specialist: 4 or more years of relevant work experience. Experience in presenting technical solutions and capabilities to peers. Experience in collaborating with cross-functional teams to clarify requirements and define technical solutions. Experience in designing and documenting technical components for data products or pipelines. Experience in implementing code and applying coding standards and security requirements. Experience in conducting unit testing and participating in user acceptance testing. Experience in building automation tools for data processes. Experience in creating queries and implementing data extraction and transformation techniques. Experience in ensuring data quality and performance monitoring. Experience in troubleshooting and resolving pipeline issues. Experience in supporting software upgrades and security remediation. Experience in staying current with market trends and applying industry knowledge to innovation. Experience in participating in code reviews and mentoring peers. Experience in addressing client requests requiring technical knowledge. Information for US Applicants For roles located in the US, the estimated salary range for this position is $123,700.00 to $ 191,300.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
09/24/2026
Full time
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Role Summary: Sr. Data Engineers are responsible for collaborating with stakeholders, including product teams, business partners, and cybersecurity, to identify and clarify requirements for data-driven features and products. They independently understand the data ecosystem, security, privacy, and retention requirements necessary to support business and product features. Sr. Data Engineers create and document technical designs for components, identify systems, architectures, tools, and storage needs, and present technical solutions to peers. They stay current with market trends and industry dynamics, applying this knowledge to drive innovation and ensure the safety and security of product components. All roles require digital fluency, including the ability to work with emerging technologies such as Generative AI tools (e.g. ChatGPT, Microsoft Copilot) to support everyday work. Key Responsibilities: Collaborate proactively with stakeholders to clarify requirements and identify key product stakeholders. Review technical requirements, escalate potential design issues, and create component designs and documentation. Implement code, apply coding patterns and best practices, and adhere to security requirements. Participate in code reviews, apply feedback, and take ownership of data products or pipeline components. Conduct unit testing, coding standards, and security scans; participate in user acceptance testing. Build tools and simple automation processes for transforming, managing, accessing, deploying, and monitoring data processes. Create queries to extract and compile raw data, implement orchestration techniques, and validate data quality. Ensure adherence to data management principles, governance, and performance monitoring protocols. Contribute to troubleshooting guidance and procedures for reviewing and fixing problems flagged by testing. Address routine client requests requiring technical knowledge and support software upgrades and server patches for security remediation. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience. Preferred Qualifications: Specialist: 4 or more years of relevant work experience. Experience in presenting technical solutions and capabilities to peers. Experience in collaborating with cross-functional teams to clarify requirements and define technical solutions. Experience in designing and documenting technical components for data products or pipelines. Experience in implementing code and applying coding standards and security requirements. Experience in conducting unit testing and participating in user acceptance testing. Experience in building automation tools for data processes. Experience in creating queries and implementing data extraction and transformation techniques. Experience in ensuring data quality and performance monitoring. Experience in troubleshooting and resolving pipeline issues. Experience in supporting software upgrades and security remediation. Experience in staying current with market trends and applying industry knowledge to innovation. Experience in participating in code reviews and mentoring peers. Experience in addressing client requests requiring technical knowledge. Information for US Applicants For roles located in the US, the estimated salary range for this position is $123,700.00 to $ 191,300.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Visa's Technology Organizationis a community of problem solvers and innovators reshaping the future of commerce. We operate the world's most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants, 15k Financial Institutions, and billions of everyday people. While working with us,you'll get to work on complex distributed systems and solve massive scale problems centered on new payment flows, business and data solutions, cyber security, and B2C platforms. Job Opportunity: We are looking for dedicated, curious, and energetic Software Engineers who embrace solving complex challenges at scale. As a Visa Software Engineer, you will be an integral part of a multi-functional development team inventing, developing, and operating software products and services that help Visa manage a broad portfolio of critical risk programs efficiently at scale. Your work will accelerate Visa business into new markets and sectors and empower and enable multiple productand business groupsacross Visa to deliver innovations faster. Key Responsibilities: Partner with product owners to gather and refine requirements across product teamsto create roadmap, execute and adapt the roadmap in the fast-paced environment. Own Visa's enterprise-wide risk platform that empowers employes to drive organizational and product improvements through collaborative idea sharing and the entire lifecycle from ideation to delivery. Design, implement, and enhance systems and shared technologies end-2-end that enable and improve Visa offerings which touch 40% of the world population while influencing Visa's internal standards for quality, observability, scalability, security, and reusability. Make a difference on a global or local scale through mentorship and continued learning opportunities Use and integrate GenAI and agents in day-to-day activities across SDLC and devops to improve ideation to production delivery cycle time andquality Come up with innovative ideas tointegrate GenAI to enhance and build new product capabilities and agents, and deliver measurable impact to users Drives advanced architect solutions that are robust and scalable, considering integrations with other solutions across the internal technical ecosystem, and external services Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: Master's degree in Math, Science, Engineering, or Computer Science, Information Systems or related field AND minimum five (5) years of experience in a directly related field.ORBachelor's degree in Math, Science, Engineering, or Computer Science, Information Systems or related field AND minimum eight (8) years of experience in a directly related field.ORMinimumeleven(11) years of directly related experience. Preferred Qualifications: Ability to provide technical leadership to their team to successful technical outcomes, ensuring sound engineering decisions that balance business needs along with engineering and operational excellence Strong product mindset and customer focus to contribute meaningfully to planning and collaborate with PMs and team leads to shape team vision. Experience in one or more of the high-level programming languages (e.g., Java, Python, C#, Golang). Experience with SQL and NoSQL databases (e.g., MySQL, Cassandra, MongoDB). Experience with using GenAI, copilots, and agentic software for improving agility, quality, and security in SDLC Proven experience architecting, building, deploying, and operating large scale, highly available, fault-tolerant, and elastic microservices in cloud-native environments. Proficiency in REST/GraphQL/gRPC API design, event-driven architectures, and message queues Familiarity with front-end development with React or Angular Experience building AI-powered product capabilities is a plus Experience in developing and integrating with any Governance, Risk, and Compliance platform is a big plus. Information for US Applicants For roles located in the US, the estimated salary range for this position is $152,200.00 to $ 243,700.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
09/24/2026
Full time
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Visa's Technology Organizationis a community of problem solvers and innovators reshaping the future of commerce. We operate the world's most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants, 15k Financial Institutions, and billions of everyday people. While working with us,you'll get to work on complex distributed systems and solve massive scale problems centered on new payment flows, business and data solutions, cyber security, and B2C platforms. Job Opportunity: We are looking for dedicated, curious, and energetic Software Engineers who embrace solving complex challenges at scale. As a Visa Software Engineer, you will be an integral part of a multi-functional development team inventing, developing, and operating software products and services that help Visa manage a broad portfolio of critical risk programs efficiently at scale. Your work will accelerate Visa business into new markets and sectors and empower and enable multiple productand business groupsacross Visa to deliver innovations faster. Key Responsibilities: Partner with product owners to gather and refine requirements across product teamsto create roadmap, execute and adapt the roadmap in the fast-paced environment. Own Visa's enterprise-wide risk platform that empowers employes to drive organizational and product improvements through collaborative idea sharing and the entire lifecycle from ideation to delivery. Design, implement, and enhance systems and shared technologies end-2-end that enable and improve Visa offerings which touch 40% of the world population while influencing Visa's internal standards for quality, observability, scalability, security, and reusability. Make a difference on a global or local scale through mentorship and continued learning opportunities Use and integrate GenAI and agents in day-to-day activities across SDLC and devops to improve ideation to production delivery cycle time andquality Come up with innovative ideas tointegrate GenAI to enhance and build new product capabilities and agents, and deliver measurable impact to users Drives advanced architect solutions that are robust and scalable, considering integrations with other solutions across the internal technical ecosystem, and external services Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: Master's degree in Math, Science, Engineering, or Computer Science, Information Systems or related field AND minimum five (5) years of experience in a directly related field.ORBachelor's degree in Math, Science, Engineering, or Computer Science, Information Systems or related field AND minimum eight (8) years of experience in a directly related field.ORMinimumeleven(11) years of directly related experience. Preferred Qualifications: Ability to provide technical leadership to their team to successful technical outcomes, ensuring sound engineering decisions that balance business needs along with engineering and operational excellence Strong product mindset and customer focus to contribute meaningfully to planning and collaborate with PMs and team leads to shape team vision. Experience in one or more of the high-level programming languages (e.g., Java, Python, C#, Golang). Experience with SQL and NoSQL databases (e.g., MySQL, Cassandra, MongoDB). Experience with using GenAI, copilots, and agentic software for improving agility, quality, and security in SDLC Proven experience architecting, building, deploying, and operating large scale, highly available, fault-tolerant, and elastic microservices in cloud-native environments. Proficiency in REST/GraphQL/gRPC API design, event-driven architectures, and message queues Familiarity with front-end development with React or Angular Experience building AI-powered product capabilities is a plus Experience in developing and integrating with any Governance, Risk, and Compliance platform is a big plus. Information for US Applicants For roles located in the US, the estimated salary range for this position is $152,200.00 to $ 243,700.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description As a Staff Data Engineer, you'll join our Value Added Services - Digital Marketing & Engagement organization. You will help design, enhance, and build our Visa data token platform within an agile development environment, collaborating with colleagues who will support and challenge you daily. Key Responsibilities: Design, build, and optimize large-scale data pipelines for batch and real-time processing Develop and maintain distributed data systems that are highly available, scalable, and resilient Lead initiatives to process, transform, and manage structured and unstructured data across platforms Drive development of data platforms and data products that support analytics, reporting, and machine learning use cases Partner with product, analytics, and business teams to translate requirements into scalable data solutions Architect solutions using big data technologies such as Hadoop, Spark, and distributed data processing framework Build and optimize ETL/ELT pipelines and ensure high data quality, reliability, and performance Implement automation, monitoring, and observability for data pipelines across the data lifecycle Lead proof-of-concept initiatives to evaluate and adopt new data engineering technologies Influence and drive best practices in data engineering, including data modeling, pipeline design, and governance Mentor engineers and foster a culture of continuous learning and accountability. Essential Functions: Collaborate with stakeholders to understand data requirements and deliver impactful solutions Architect and implement secure, robust, and scalable data platforms Drive innovation through experimentation, prototyping, and rapid iteration Ensure strong data governance, quality, and operational excellence Engage with cross-functional teams to align on technical and business outcomes This is a hybrid position. Expectationof days in the office will be confirmed by your Hiring Manager. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications • 5 or more years of relevant work experience with a Bachelors Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD. Preferred Qualifications • 6 or more years of work experience with a Bachelors Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD • Demonstrated leadership in delivering high-quality, large-scale, enterprise-class applications. • Solid experience in big data engineering, with knowledge of Hadoop, Apache Spark, Python, and SQL. • Experience in Docker, Kubernetes for containerization • Proficiency in creating and managing large-scale data pipelines and machine learning models. • Experience developing ETL processes, maintaining Spark pipelines, and productizing AI/ML models. • Proficient in technologies like Kafka, Redis, Flink, TensorFlow, Triton, and AWS services. • Skilled in Unix/Shell or Python scripting and scheduling tools like Airflow and Control-M. • Familiarity with Agile development, TDD, CI/CD, and various databases. • Proven track record of building reliable, scalable, and operable applications. • Ability to manage component security analysis and collaborate with security teams. • Strong work ethic, focus on immediate goals, and proven experience as a technical leader. • Passion for mentoring and helping juniors grow professionally. • Excellent communication and interpersonal skills, and a strong team player. Information for US Applicants For roles located in the US, the estimated salary range for this position is $137,200.00 to $ 219,700.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
09/24/2026
Full time
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description As a Staff Data Engineer, you'll join our Value Added Services - Digital Marketing & Engagement organization. You will help design, enhance, and build our Visa data token platform within an agile development environment, collaborating with colleagues who will support and challenge you daily. Key Responsibilities: Design, build, and optimize large-scale data pipelines for batch and real-time processing Develop and maintain distributed data systems that are highly available, scalable, and resilient Lead initiatives to process, transform, and manage structured and unstructured data across platforms Drive development of data platforms and data products that support analytics, reporting, and machine learning use cases Partner with product, analytics, and business teams to translate requirements into scalable data solutions Architect solutions using big data technologies such as Hadoop, Spark, and distributed data processing framework Build and optimize ETL/ELT pipelines and ensure high data quality, reliability, and performance Implement automation, monitoring, and observability for data pipelines across the data lifecycle Lead proof-of-concept initiatives to evaluate and adopt new data engineering technologies Influence and drive best practices in data engineering, including data modeling, pipeline design, and governance Mentor engineers and foster a culture of continuous learning and accountability. Essential Functions: Collaborate with stakeholders to understand data requirements and deliver impactful solutions Architect and implement secure, robust, and scalable data platforms Drive innovation through experimentation, prototyping, and rapid iteration Ensure strong data governance, quality, and operational excellence Engage with cross-functional teams to align on technical and business outcomes This is a hybrid position. Expectationof days in the office will be confirmed by your Hiring Manager. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications • 5 or more years of relevant work experience with a Bachelors Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD. Preferred Qualifications • 6 or more years of work experience with a Bachelors Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD • Demonstrated leadership in delivering high-quality, large-scale, enterprise-class applications. • Solid experience in big data engineering, with knowledge of Hadoop, Apache Spark, Python, and SQL. • Experience in Docker, Kubernetes for containerization • Proficiency in creating and managing large-scale data pipelines and machine learning models. • Experience developing ETL processes, maintaining Spark pipelines, and productizing AI/ML models. • Proficient in technologies like Kafka, Redis, Flink, TensorFlow, Triton, and AWS services. • Skilled in Unix/Shell or Python scripting and scheduling tools like Airflow and Control-M. • Familiarity with Agile development, TDD, CI/CD, and various databases. • Proven track record of building reliable, scalable, and operable applications. • Ability to manage component security analysis and collaborate with security teams. • Strong work ethic, focus on immediate goals, and proven experience as a technical leader. • Passion for mentoring and helping juniors grow professionally. • Excellent communication and interpersonal skills, and a strong team player. Information for US Applicants For roles located in the US, the estimated salary range for this position is $137,200.00 to $ 219,700.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Visa will accept applications for this role until at least 09-30-2026 Job Description We are seeking a highly skilled AI developer with deep expertise in Agentic and Generative AI to drive the next wave of intelligent automation and digital transformation. In this role, you will be at the forefront of designing, implementing, and optimizing AI-powered solutions integrated into the ServiceNow platform. Your primary focus will be on leveraging artificial intelligence, including custom MCP tooling, Agentic scoped applications, and third-party Large Language Models-to enhance workflows, automate complex processes, and deliver innovative business outcomes. You will architect and build custom AI solutions and ensure seamless user experiences through intelligent automation. As a thought leader in AI, you will collaborate with stakeholders to identify opportunities for AI adoption, experiment with emerging technologies, and contribute to Visa's enterprise AI strategy. In addition to your AI responsibilities, you will develop and configure integrations between ServiceNow and other enterprise applications, manage the full lifecycle of these integrations (from API development and scripting to framework deployment), and ensure robust, secure, and scalable connections. Roles and responsibilities: Designing, developing, and optimizing AI-powered solutions (built within the ServiceNow platform and/or integrated through external custom solutions), including the creation of custom MCP tooling and Agentic solutions. Leveraging AI solutions to integrate and orchestrate third-party Large Language Models (LLMs) such as OpenAI, Google Gemini, etc, driving intelligent automation and enhanced user experiences. Collaborating with stakeholders to identify opportunities for AI adoption, experiment with emerging technologies, and deliver innovative, AI-driven business outcomes. Troubleshooting and resolving issues with ServiceNow configurations and AI components, ensuring seamless operation and reliability. Identifying requirement gaps to ensure high-quality solutions and providing configuration options with clear pros and cons. Designing and implementing intuitive, user-friendly software that enables customer-led customization and flexibility. Collaborating with internal customers and business analysts to clarify requirements and architect effective, AI-driven solutions. Authoring comprehensive technical design and build documentation for all facets of the technical infrastructure. Conducting research and analysis of existing systems to provide accurate time estimates and recommendations to project managers. Actively participating in project meetings and daily scrums to communicate development status, progress, and technical insights. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Visa will accept applications for this role until at least September 30, 2026. Qualifications Basic Qualifications 5+ years of relevant work experience with a Bachelor's Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience. Preferred Qualifications Proven ability to deliver projects on time and within budget by writing high-quality code, mentoring junior developers, understanding workload and usage requirements, and producing clear technical documentation that enables knowledge transfer and long-term supportability across global teams. Experience designing robust, scalable, and moderately complex architectural solutions that integrate across a broader technical ecosystem, while effectively operating as a collaborative member of a globally distributed team across diverse time zones and cultures. Minimum of 2 years of relevant professional experience including hands-on work with AI-powered solutions, with a bachelor's degree; or at least 2 years of relevant experience with an Advanced Degree (e.g., Master's, MBA, JD, MD). In-depth knowledge of APIs, web services, and standard relational database concepts. Proven experience with JavaScript, AJAX, JSON, CSS, REST, SOAP, and HTML. Strong Python skills and hands-on experience building RESTful or GraphQL APIs. Demonstrated experience building GenAI solutions, agents, or conversational applications, exhibiting the ability to differentiate reasoning approaches like ReAct and Chain-of-Thought (CoT). Demonstrate ability to design and architect Agentic Systems, applying various agent architectures (symbolic, BDI, LLM-based) to design intelligent agents tailored for specific tasks and environments. Implement Core Agent Capabilities. Develop agents that can perceive, reason, plan, act, and learn, utilizing Python and relevant AI libraries and frameworks. Analyze and Evaluate Agent Behavior. Critically assess agent performance, understand the complexities of multi-agent systems and human-agent interaction, and identify risks. Navigate Ethical Landscapes. Identify, analyze, and address the ethical challenges and safety considerations inherent in developing and deploying autonomous AI systems, applying principles of responsible AI. Apply Agentic AI to Solve Problems. Conceptualize and build functional AI agents for practical applications, demonstrating the ability to integrate diverse concepts into cohesive business solutions. Deep understanding of prompt engineering concepts, LLM fine-tuning, and retrieval-augmented generation (RAG). Familiarity with MCP servers or comparable model-serving/hosting platforms. Excellent problem-solving skills, strong communication, and a collaborative attitude. Strong analytical skills with the ability to extensively analyze and improve business processes and workflows. Demonstrated expertise in designing, implementing, and optimizing AI-driven functionalities integrated with ServiceNow, such as custom Agentic AI skills, GenAI integrations, and intelligent automation. Strong technical background in ServiceNow-specific development tools and frameworks (UI Policies, UI Macros, UI Pages, Client Scripts, Script Includes, Business Rules, Mid Server Configuration & Architecture, Import Sets, Transform Maps, Update Sets). Strong knowledge of the CMDB, data modeling, data strategies, and integrations. Knowledge of ServiceNow ITSM/ITOM product portfolio including Change Management, Discovery, and Service Mapping. Relevant certifications such as Certified ServiceNow Admin (CSA), Certified Implementation Specialist (CIS), or Certified Application Developer (CAD) are highly desirable. Information for US Applicants For roles located in the US, the estimated salary range for this position is $124,300.00 to $ 198,600.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
09/24/2026
Full time
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Visa will accept applications for this role until at least 09-30-2026 Job Description We are seeking a highly skilled AI developer with deep expertise in Agentic and Generative AI to drive the next wave of intelligent automation and digital transformation. In this role, you will be at the forefront of designing, implementing, and optimizing AI-powered solutions integrated into the ServiceNow platform. Your primary focus will be on leveraging artificial intelligence, including custom MCP tooling, Agentic scoped applications, and third-party Large Language Models-to enhance workflows, automate complex processes, and deliver innovative business outcomes. You will architect and build custom AI solutions and ensure seamless user experiences through intelligent automation. As a thought leader in AI, you will collaborate with stakeholders to identify opportunities for AI adoption, experiment with emerging technologies, and contribute to Visa's enterprise AI strategy. In addition to your AI responsibilities, you will develop and configure integrations between ServiceNow and other enterprise applications, manage the full lifecycle of these integrations (from API development and scripting to framework deployment), and ensure robust, secure, and scalable connections. Roles and responsibilities: Designing, developing, and optimizing AI-powered solutions (built within the ServiceNow platform and/or integrated through external custom solutions), including the creation of custom MCP tooling and Agentic solutions. Leveraging AI solutions to integrate and orchestrate third-party Large Language Models (LLMs) such as OpenAI, Google Gemini, etc, driving intelligent automation and enhanced user experiences. Collaborating with stakeholders to identify opportunities for AI adoption, experiment with emerging technologies, and deliver innovative, AI-driven business outcomes. Troubleshooting and resolving issues with ServiceNow configurations and AI components, ensuring seamless operation and reliability. Identifying requirement gaps to ensure high-quality solutions and providing configuration options with clear pros and cons. Designing and implementing intuitive, user-friendly software that enables customer-led customization and flexibility. Collaborating with internal customers and business analysts to clarify requirements and architect effective, AI-driven solutions. Authoring comprehensive technical design and build documentation for all facets of the technical infrastructure. Conducting research and analysis of existing systems to provide accurate time estimates and recommendations to project managers. Actively participating in project meetings and daily scrums to communicate development status, progress, and technical insights. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Visa will accept applications for this role until at least September 30, 2026. Qualifications Basic Qualifications 5+ years of relevant work experience with a Bachelor's Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience. Preferred Qualifications Proven ability to deliver projects on time and within budget by writing high-quality code, mentoring junior developers, understanding workload and usage requirements, and producing clear technical documentation that enables knowledge transfer and long-term supportability across global teams. Experience designing robust, scalable, and moderately complex architectural solutions that integrate across a broader technical ecosystem, while effectively operating as a collaborative member of a globally distributed team across diverse time zones and cultures. Minimum of 2 years of relevant professional experience including hands-on work with AI-powered solutions, with a bachelor's degree; or at least 2 years of relevant experience with an Advanced Degree (e.g., Master's, MBA, JD, MD). In-depth knowledge of APIs, web services, and standard relational database concepts. Proven experience with JavaScript, AJAX, JSON, CSS, REST, SOAP, and HTML. Strong Python skills and hands-on experience building RESTful or GraphQL APIs. Demonstrated experience building GenAI solutions, agents, or conversational applications, exhibiting the ability to differentiate reasoning approaches like ReAct and Chain-of-Thought (CoT). Demonstrate ability to design and architect Agentic Systems, applying various agent architectures (symbolic, BDI, LLM-based) to design intelligent agents tailored for specific tasks and environments. Implement Core Agent Capabilities. Develop agents that can perceive, reason, plan, act, and learn, utilizing Python and relevant AI libraries and frameworks. Analyze and Evaluate Agent Behavior. Critically assess agent performance, understand the complexities of multi-agent systems and human-agent interaction, and identify risks. Navigate Ethical Landscapes. Identify, analyze, and address the ethical challenges and safety considerations inherent in developing and deploying autonomous AI systems, applying principles of responsible AI. Apply Agentic AI to Solve Problems. Conceptualize and build functional AI agents for practical applications, demonstrating the ability to integrate diverse concepts into cohesive business solutions. Deep understanding of prompt engineering concepts, LLM fine-tuning, and retrieval-augmented generation (RAG). Familiarity with MCP servers or comparable model-serving/hosting platforms. Excellent problem-solving skills, strong communication, and a collaborative attitude. Strong analytical skills with the ability to extensively analyze and improve business processes and workflows. Demonstrated expertise in designing, implementing, and optimizing AI-driven functionalities integrated with ServiceNow, such as custom Agentic AI skills, GenAI integrations, and intelligent automation. Strong technical background in ServiceNow-specific development tools and frameworks (UI Policies, UI Macros, UI Pages, Client Scripts, Script Includes, Business Rules, Mid Server Configuration & Architecture, Import Sets, Transform Maps, Update Sets). Strong knowledge of the CMDB, data modeling, data strategies, and integrations. Knowledge of ServiceNow ITSM/ITOM product portfolio including Change Management, Discovery, and Service Mapping. Relevant certifications such as Certified ServiceNow Admin (CSA), Certified Implementation Specialist (CIS), or Certified Application Developer (CAD) are highly desirable. Information for US Applicants For roles located in the US, the estimated salary range for this position is $124,300.00 to $ 198,600.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Staff Software Engineers are senior technical leaders and system thinkers who define, architect, and drive the delivery of complex, large-scale software systems. In this role, engineers spend approximately 50-65% of their time in hands-on technical work - coding, architecting, prototyping, and reviewing - while dedicating the remainder totechnical leadership, cross-functional alignment, and engineering excellence initiatives. Staff Engineers work withmodern tools and platforms (including AI-assisted development, cloud-native services, and automation frameworks) todeliver secure, scalable, and high-quality technology solutions that create measurable business impact in the fintechsector. They operate as force multipliers - partnering with engineering managers, product leads, architects, datascientists, compliance, and operations to shape technical strategy, resolve ambiguity, and raise the engineering baracross teams and disciplines. All roles require digital fluency, including the ability to work with and advocate for emerging technologies such asGenerative AI tools (e.g. GitHub Copilot, ChatGPT, Claude) to accelerate engineering velocity, improve code quality,and support everyday technical decision-making. Key Responsibilities: Collaborate with stakeholders to determine requirements for product components and incorporate feedback into future designs or solutions. Translate functional requirements into system designs and communicate component interactions, ensuring alignment with business needs and timelines. Design and develop product components, refine code plans, and lead design reviews to ensure completeness and adherence to requirements. Contribute to project estimation, considering delivery costs and escalating issues that may cause delays. Lead by example in creating, implementing, and maintaining extensible, reusable code, and drive code quality through metrics and best practices. Apply debugging tools to resolve moderately complex issues and identify opportunities for automation across products. Lead code reviews, ensuring adherence to coding standards and providing feedback to team members. Create complex test plans, identify test gaps, and proactively address defects to minimize customer impact. Leverage data analysis and monitoring standards to identify patterns and defects in all environments. Respond to incidents during on-call rotations, troubleshoot complex issues, and assist in incident response and resolution. Build, enhance, and identify new developer tools to support programs and applications. Proactively seek new knowledge and adapt to trends and technical solutions to improve product performance and recommend resources to other engineers. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 5+ years of relevant work experience with a Bachelor's Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience. Preferred Qualifications: 5+ years of relevant work experience with a Bachelor's Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience. 6 or more years of work experience with a Bachelor's Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD. Experience in software engineering or a directly related field. Experience in developing full stack (frontend+backend) and/or implementing web-based or mobile applications using AI tools. Experience in a leadership role with or without direct reports. Experience in technologies/software systems or a directly related field. Experience in creating and maintaining test plans and executing testing procedures. Experience in debugging and troubleshooting software issues. Experience in collaborating with cross-functional teams to deliver technical solutions. Experience in code review and applying coding standards. Experience in building or enhancing developer tools. Experience working with container-based technologies. Experience building and testing enterprise-scale web services. Experience in product development. Experience working on client-facing project or technical teams. Information for US Applicants For roles located in the US, the estimated salary range for this position is $146,200.00 to $ 233,700.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
09/24/2026
Full time
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Staff Software Engineers are senior technical leaders and system thinkers who define, architect, and drive the delivery of complex, large-scale software systems. In this role, engineers spend approximately 50-65% of their time in hands-on technical work - coding, architecting, prototyping, and reviewing - while dedicating the remainder totechnical leadership, cross-functional alignment, and engineering excellence initiatives. Staff Engineers work withmodern tools and platforms (including AI-assisted development, cloud-native services, and automation frameworks) todeliver secure, scalable, and high-quality technology solutions that create measurable business impact in the fintechsector. They operate as force multipliers - partnering with engineering managers, product leads, architects, datascientists, compliance, and operations to shape technical strategy, resolve ambiguity, and raise the engineering baracross teams and disciplines. All roles require digital fluency, including the ability to work with and advocate for emerging technologies such asGenerative AI tools (e.g. GitHub Copilot, ChatGPT, Claude) to accelerate engineering velocity, improve code quality,and support everyday technical decision-making. Key Responsibilities: Collaborate with stakeholders to determine requirements for product components and incorporate feedback into future designs or solutions. Translate functional requirements into system designs and communicate component interactions, ensuring alignment with business needs and timelines. Design and develop product components, refine code plans, and lead design reviews to ensure completeness and adherence to requirements. Contribute to project estimation, considering delivery costs and escalating issues that may cause delays. Lead by example in creating, implementing, and maintaining extensible, reusable code, and drive code quality through metrics and best practices. Apply debugging tools to resolve moderately complex issues and identify opportunities for automation across products. Lead code reviews, ensuring adherence to coding standards and providing feedback to team members. Create complex test plans, identify test gaps, and proactively address defects to minimize customer impact. Leverage data analysis and monitoring standards to identify patterns and defects in all environments. Respond to incidents during on-call rotations, troubleshoot complex issues, and assist in incident response and resolution. Build, enhance, and identify new developer tools to support programs and applications. Proactively seek new knowledge and adapt to trends and technical solutions to improve product performance and recommend resources to other engineers. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 5+ years of relevant work experience with a Bachelor's Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience. Preferred Qualifications: 5+ years of relevant work experience with a Bachelor's Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience. 6 or more years of work experience with a Bachelor's Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD. Experience in software engineering or a directly related field. Experience in developing full stack (frontend+backend) and/or implementing web-based or mobile applications using AI tools. Experience in a leadership role with or without direct reports. Experience in technologies/software systems or a directly related field. Experience in creating and maintaining test plans and executing testing procedures. Experience in debugging and troubleshooting software issues. Experience in collaborating with cross-functional teams to deliver technical solutions. Experience in code review and applying coding standards. Experience in building or enhancing developer tools. Experience working with container-based technologies. Experience building and testing enterprise-scale web services. Experience in product development. Experience working on client-facing project or technical teams. Information for US Applicants For roles located in the US, the estimated salary range for this position is $146,200.00 to $ 233,700.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Location This is a hybrid role based in Irving TX About the job you're considering The Capgemini team offers extensive career opportunities and provides mentoring and coaching for teammates. This role is an experienced professional with a strong background in software development. Your role A Delivery Manager / Technical Program Manager with strong expertise in global software delivery, Agile execution, enterprise integrations, deployment readiness, stakeholder management, and multi-market technology rollouts, capable of leading complex digital transformation programs across international markets. Lead end-to-end delivery of Smart Ops and Digital Ordering initiatives. Manage: Discovery, Localization, Integration, Testing, Deployment Readiness, Hypercare, Transition to Support Drive governance, milestone tracking, dependency management, and risk mitigation. Coordinate enterprise integrations involving: APIs, Middleware, Payment Systems, Menu Platforms, Delivery Aggregators, Operational Systems Oversee: Data Migration, Cutover Planning, Release Readiness, Production Deployments, Global Market Readiness Support multi-country rollouts including: Language Localization, Currency Setup, Tax Configuration, Compliance Requirements, Menu Management, Drive training and change management readiness. Deliver executive reporting, escalation management, and program updates. Governance & Operations Manage: RAID Logs, KPIs, Delivery Dashboards, Dependency Tracking Ensure successful handoff to support teams after deployment. Your skills and experience 10+ years in Technical Program Management, Delivery Management, or Enterprise Software Delivery. Strong experience with: SDLC, Agile Delivery, Jira, Confluence, Enterprise Integrations, Data Migration, Release Management, Deployment Readiness Experience managing globally distributed teams. Strong stakeholder management and executive communication skills. Global Rollout & Localization Programs Preferred Experience: QSR, Retail Technology, Hospitality, eCommerce, POS Systems, Digital Ordering Platforms, Store Technology - Hybrid The base compensation range for this role in the posted location is: $82,082 - 193,440. Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave Medical, dental, and vision coverage (or provincial healthcare coordination in Canada) Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada) Life and disability insurance Employee assistance programs Other benefits as provided by local policy and eligibility Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation. Disclaimers Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. 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. Click the following link for more information on your rights as an Applicant in the United States. 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.
09/24/2026
Full time
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Location This is a hybrid role based in Irving TX About the job you're considering The Capgemini team offers extensive career opportunities and provides mentoring and coaching for teammates. This role is an experienced professional with a strong background in software development. Your role A Delivery Manager / Technical Program Manager with strong expertise in global software delivery, Agile execution, enterprise integrations, deployment readiness, stakeholder management, and multi-market technology rollouts, capable of leading complex digital transformation programs across international markets. Lead end-to-end delivery of Smart Ops and Digital Ordering initiatives. Manage: Discovery, Localization, Integration, Testing, Deployment Readiness, Hypercare, Transition to Support Drive governance, milestone tracking, dependency management, and risk mitigation. Coordinate enterprise integrations involving: APIs, Middleware, Payment Systems, Menu Platforms, Delivery Aggregators, Operational Systems Oversee: Data Migration, Cutover Planning, Release Readiness, Production Deployments, Global Market Readiness Support multi-country rollouts including: Language Localization, Currency Setup, Tax Configuration, Compliance Requirements, Menu Management, Drive training and change management readiness. Deliver executive reporting, escalation management, and program updates. Governance & Operations Manage: RAID Logs, KPIs, Delivery Dashboards, Dependency Tracking Ensure successful handoff to support teams after deployment. Your skills and experience 10+ years in Technical Program Management, Delivery Management, or Enterprise Software Delivery. Strong experience with: SDLC, Agile Delivery, Jira, Confluence, Enterprise Integrations, Data Migration, Release Management, Deployment Readiness Experience managing globally distributed teams. Strong stakeholder management and executive communication skills. Global Rollout & Localization Programs Preferred Experience: QSR, Retail Technology, Hospitality, eCommerce, POS Systems, Digital Ordering Platforms, Store Technology - Hybrid The base compensation range for this role in the posted location is: $82,082 - 193,440. Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave Medical, dental, and vision coverage (or provincial healthcare coordination in Canada) Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada) Life and disability insurance Employee assistance programs Other benefits as provided by local policy and eligibility Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation. Disclaimers Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. 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. Click the following link for more information on your rights as an Applicant in the United States. 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.
Be part of a team that unleashes the power of leading-edge technologies to help improve the health and well-being of those most vulnerable in our country and communities. Working at Gainwell carries its rewards. You'll have an incredible opportunity to grow your career in a company that values work flexibility, learning, and career development. You'll add to your technical credentials and certifications while enjoying a generous, flexible vacation policy and educational assistance. We also have comprehensive leadership and technical development academies to help build your skills and capabilities. Summary As an Experienced Programmer Analyst at Gainwell, you can contribute your skills as we harness the power of technology to help our clients improve the health and well-being of the members they serve - a community's most vulnerable. Connect your passion with purpose, teaming with people who thrive on finding innovative solutions to some of healthcare's biggest challenges. Here are the details on this position. Your role in our mission Design your career for growth, new possibilities and refining your valuable skills: Codes, tests, debugs, implements, and documents highly complex programs. Develops complex test plans to verify logic of new or modified programs. Designs systems and programs to meet highly complex business needs. Prepares detailed specifications from which programs are developed and coded. Creates appropriate documentation in work assignments such as program code, and technical documentation. Gathers information from existing systems, analyzes program and time requirements. Prepares time estimates and justifications for assigned tasks and provides recommendations to project managers. Supports project personnel in resolving fairly complex program problems. Works with client and management to resolve issues and validate programming requirements within their areas of responsibility. Provides technical advice on complex programming. May serve as technical project lead; provides leadership and work guidance to less experienced personnel. Conducts quality assurance activities such as peer reviews. Provides consulting services in a technical and/or managerial capacity to management and technical staff. May represent company in presentations or conferences involving customers, co-contractors, suppliers, competitors, academia or the public. What we're looking for Nine or more years of data engineering, ETL development, or data warehouse development Experience working with Databricks, Python, SQL, and modern data engineering practices Experience developing and supporting Power BI reporting solutions and Tableau dashboards solutions Experience supporting enterprise production environments. Experience developing cloud-based data solutions. Design, develop, and maintain scalable ETL/ELT pipelines using Databricks. Develop and optimize data ingestion, transformation, and aggregation processes Strong analytical and problem-solving skills for design, creation and testing of programs Good leadership skills to guide and mentor the work of less experienced personnel What you should expect in this role United States remote opportunity Video cameras must be used during all interviews, as well as during the initial week of orientation The Deadline to submit applications for this posting is September 14, 2026 The pay range for this position is $90,900.00 - $129,900.00 per year, however, the base pay offered may vary depending on geographic region, internal equity, job-related knowledge, skills, and experience among other factors. Put your passion to work at Gainwell. You'll have the opportunity to grow your career in a company that values work flexibility, learning, and career development. All salaried, full-time candidates are eligible for our generous, flexible vacation policy, a 401(k) employer match, comprehensive health benefits, and educational assistance. We also have a variety of leadership and technical development academies to help build your skills and capabilities. We believe nothing is impossible when you bring together people who care deeply about making healthcare work better for everyone. Build your career with Gainwell, an industry leader. You'll be joining a company where collaboration, innovation, and inclusion fuel our growth. Learn more about Gainwell at our company website and visit our Careers site for all available job role openings. Gainwell Technologies is an Equal Opportunity Employer, where all qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical condition), age, sexual orientation, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Gainwell Technologies defines "wages" and "wage rates" to include "all forms of pay, including, but not limited to, salary, overtime pay, bonuses, stock, stock options, profit sharing and bonus plans, life insurance, vacation and holiday pay, cleaning or gasoline allowances, hotel accommodations, reimbursement for travel expenses, and benefits.
09/24/2026
Full time
Be part of a team that unleashes the power of leading-edge technologies to help improve the health and well-being of those most vulnerable in our country and communities. Working at Gainwell carries its rewards. You'll have an incredible opportunity to grow your career in a company that values work flexibility, learning, and career development. You'll add to your technical credentials and certifications while enjoying a generous, flexible vacation policy and educational assistance. We also have comprehensive leadership and technical development academies to help build your skills and capabilities. Summary As an Experienced Programmer Analyst at Gainwell, you can contribute your skills as we harness the power of technology to help our clients improve the health and well-being of the members they serve - a community's most vulnerable. Connect your passion with purpose, teaming with people who thrive on finding innovative solutions to some of healthcare's biggest challenges. Here are the details on this position. Your role in our mission Design your career for growth, new possibilities and refining your valuable skills: Codes, tests, debugs, implements, and documents highly complex programs. Develops complex test plans to verify logic of new or modified programs. Designs systems and programs to meet highly complex business needs. Prepares detailed specifications from which programs are developed and coded. Creates appropriate documentation in work assignments such as program code, and technical documentation. Gathers information from existing systems, analyzes program and time requirements. Prepares time estimates and justifications for assigned tasks and provides recommendations to project managers. Supports project personnel in resolving fairly complex program problems. Works with client and management to resolve issues and validate programming requirements within their areas of responsibility. Provides technical advice on complex programming. May serve as technical project lead; provides leadership and work guidance to less experienced personnel. Conducts quality assurance activities such as peer reviews. Provides consulting services in a technical and/or managerial capacity to management and technical staff. May represent company in presentations or conferences involving customers, co-contractors, suppliers, competitors, academia or the public. What we're looking for Nine or more years of data engineering, ETL development, or data warehouse development Experience working with Databricks, Python, SQL, and modern data engineering practices Experience developing and supporting Power BI reporting solutions and Tableau dashboards solutions Experience supporting enterprise production environments. Experience developing cloud-based data solutions. Design, develop, and maintain scalable ETL/ELT pipelines using Databricks. Develop and optimize data ingestion, transformation, and aggregation processes Strong analytical and problem-solving skills for design, creation and testing of programs Good leadership skills to guide and mentor the work of less experienced personnel What you should expect in this role United States remote opportunity Video cameras must be used during all interviews, as well as during the initial week of orientation The Deadline to submit applications for this posting is September 14, 2026 The pay range for this position is $90,900.00 - $129,900.00 per year, however, the base pay offered may vary depending on geographic region, internal equity, job-related knowledge, skills, and experience among other factors. Put your passion to work at Gainwell. You'll have the opportunity to grow your career in a company that values work flexibility, learning, and career development. All salaried, full-time candidates are eligible for our generous, flexible vacation policy, a 401(k) employer match, comprehensive health benefits, and educational assistance. We also have a variety of leadership and technical development academies to help build your skills and capabilities. We believe nothing is impossible when you bring together people who care deeply about making healthcare work better for everyone. Build your career with Gainwell, an industry leader. You'll be joining a company where collaboration, innovation, and inclusion fuel our growth. Learn more about Gainwell at our company website and visit our Careers site for all available job role openings. Gainwell Technologies is an Equal Opportunity Employer, where all qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical condition), age, sexual orientation, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Gainwell Technologies defines "wages" and "wage rates" to include "all forms of pay, including, but not limited to, salary, overtime pay, bonuses, stock, stock options, profit sharing and bonus plans, life insurance, vacation and holiday pay, cleaning or gasoline allowances, hotel accommodations, reimbursement for travel expenses, and benefits.
Be part of a team that unleashes the power of leading-edge technologies to help improve the health and well-being of those most vulnerable in our country and communities. Working at Gainwell carries its rewards. You'll have an incredible opportunity to grow your career in a company that values work flexibility, learning, and career development. You'll add to your technical credentials and certifications while enjoying a generous, flexible vacation policy and educational assistance. We also have comprehensive leadership and technical development academies to help build your skills and capabilities. Summary As an Experienced Programmer Analyst at Gainwell, you can contribute your skills as we harness the power of technology to help our clients improve the health and well-being of the members they serve - a community's most vulnerable. Connect your passion with purpose, teaming with people who thrive on finding innovative solutions to some of healthcare's biggest challenges. Here are the details on this position. Your role in our mission Design your career for growth, new possibilities and refining your valuable skills: Codes, tests, debugs, implements, and documents highly complex programs. Develops complex test plans to verify logic of new or modified programs. Designs systems and programs to meet highly complex business needs. Prepares detailed specifications from which programs are developed and coded. Creates appropriate documentation in work assignments such as program code, and technical documentation. Gathers information from existing systems, analyzes program and time requirements. Prepares time estimates and justifications for assigned tasks and provides recommendations to project managers. Supports project personnel in resolving fairly complex program problems. Works with client and management to resolve issues and validate programming requirements within their areas of responsibility. Provides technical advice on complex programming. May serve as technical project lead; provides leadership and work guidance to less experienced personnel. Conducts quality assurance activities such as peer reviews. Provides consulting services in a technical and/or managerial capacity to management and technical staff. May represent company in presentations or conferences involving customers, co-contractors, suppliers, competitors, academia or the public. What we're looking for Nine or more years of data engineering, ETL development, or data warehouse development Experience working with Databricks, Python, SQL, and modern data engineering practices Experience developing and supporting Power BI reporting solutions and Tableau dashboards solutions Experience supporting enterprise production environments. Experience developing cloud-based data solutions. Design, develop, and maintain scalable ETL/ELT pipelines using Databricks. Develop and optimize data ingestion, transformation, and aggregation processes Strong analytical and problem-solving skills for design, creation and testing of programs Good leadership skills to guide and mentor the work of less experienced personnel What you should expect in this role United States remote opportunity Video cameras must be used during all interviews, as well as during the initial week of orientation The Deadline to submit applications for this posting is September 14, 2026 The pay range for this position is $90,900.00 - $129,900.00 per year, however, the base pay offered may vary depending on geographic region, internal equity, job-related knowledge, skills, and experience among other factors. Put your passion to work at Gainwell. You'll have the opportunity to grow your career in a company that values work flexibility, learning, and career development. All salaried, full-time candidates are eligible for our generous, flexible vacation policy, a 401(k) employer match, comprehensive health benefits, and educational assistance. We also have a variety of leadership and technical development academies to help build your skills and capabilities. We believe nothing is impossible when you bring together people who care deeply about making healthcare work better for everyone. Build your career with Gainwell, an industry leader. You'll be joining a company where collaboration, innovation, and inclusion fuel our growth. Learn more about Gainwell at our company website and visit our Careers site for all available job role openings. Gainwell Technologies is an Equal Opportunity Employer, where all qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical condition), age, sexual orientation, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Gainwell Technologies defines "wages" and "wage rates" to include "all forms of pay, including, but not limited to, salary, overtime pay, bonuses, stock, stock options, profit sharing and bonus plans, life insurance, vacation and holiday pay, cleaning or gasoline allowances, hotel accommodations, reimbursement for travel expenses, and benefits.
09/24/2026
Full time
Be part of a team that unleashes the power of leading-edge technologies to help improve the health and well-being of those most vulnerable in our country and communities. Working at Gainwell carries its rewards. You'll have an incredible opportunity to grow your career in a company that values work flexibility, learning, and career development. You'll add to your technical credentials and certifications while enjoying a generous, flexible vacation policy and educational assistance. We also have comprehensive leadership and technical development academies to help build your skills and capabilities. Summary As an Experienced Programmer Analyst at Gainwell, you can contribute your skills as we harness the power of technology to help our clients improve the health and well-being of the members they serve - a community's most vulnerable. Connect your passion with purpose, teaming with people who thrive on finding innovative solutions to some of healthcare's biggest challenges. Here are the details on this position. Your role in our mission Design your career for growth, new possibilities and refining your valuable skills: Codes, tests, debugs, implements, and documents highly complex programs. Develops complex test plans to verify logic of new or modified programs. Designs systems and programs to meet highly complex business needs. Prepares detailed specifications from which programs are developed and coded. Creates appropriate documentation in work assignments such as program code, and technical documentation. Gathers information from existing systems, analyzes program and time requirements. Prepares time estimates and justifications for assigned tasks and provides recommendations to project managers. Supports project personnel in resolving fairly complex program problems. Works with client and management to resolve issues and validate programming requirements within their areas of responsibility. Provides technical advice on complex programming. May serve as technical project lead; provides leadership and work guidance to less experienced personnel. Conducts quality assurance activities such as peer reviews. Provides consulting services in a technical and/or managerial capacity to management and technical staff. May represent company in presentations or conferences involving customers, co-contractors, suppliers, competitors, academia or the public. What we're looking for Nine or more years of data engineering, ETL development, or data warehouse development Experience working with Databricks, Python, SQL, and modern data engineering practices Experience developing and supporting Power BI reporting solutions and Tableau dashboards solutions Experience supporting enterprise production environments. Experience developing cloud-based data solutions. Design, develop, and maintain scalable ETL/ELT pipelines using Databricks. Develop and optimize data ingestion, transformation, and aggregation processes Strong analytical and problem-solving skills for design, creation and testing of programs Good leadership skills to guide and mentor the work of less experienced personnel What you should expect in this role United States remote opportunity Video cameras must be used during all interviews, as well as during the initial week of orientation The Deadline to submit applications for this posting is September 14, 2026 The pay range for this position is $90,900.00 - $129,900.00 per year, however, the base pay offered may vary depending on geographic region, internal equity, job-related knowledge, skills, and experience among other factors. Put your passion to work at Gainwell. You'll have the opportunity to grow your career in a company that values work flexibility, learning, and career development. All salaried, full-time candidates are eligible for our generous, flexible vacation policy, a 401(k) employer match, comprehensive health benefits, and educational assistance. We also have a variety of leadership and technical development academies to help build your skills and capabilities. We believe nothing is impossible when you bring together people who care deeply about making healthcare work better for everyone. Build your career with Gainwell, an industry leader. You'll be joining a company where collaboration, innovation, and inclusion fuel our growth. Learn more about Gainwell at our company website and visit our Careers site for all available job role openings. Gainwell Technologies is an Equal Opportunity Employer, where all qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical condition), age, sexual orientation, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Gainwell Technologies defines "wages" and "wage rates" to include "all forms of pay, including, but not limited to, salary, overtime pay, bonuses, stock, stock options, profit sharing and bonus plans, life insurance, vacation and holiday pay, cleaning or gasoline allowances, hotel accommodations, reimbursement for travel expenses, and benefits.
