Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Site Reliability Engineer I, Launch Program 2027 - St. Louis, MO, US Why join Mastercard's Launch Program? Throughout this 18-month program, you'll develop the ability to connect ideas, people, and markets to drive commercial impact. Through hands-on experiences, cross-functional projects, and structured learning opportunities, you'll gain exposure to multiple areas of Mastercard's business while building broad business acumen and a global perspective. You'll collaborate with teams across functions, contribute to strategic initiatives, and strengthen the skills needed to solve complex business challenges. This experience will help you build a well-rounded commercial mindset and prepare you for a variety of career paths across Mastercard's global organization. About the team The role of the Business Operations Site Reliability Engineer is to be the production readiness steward for Mastercard products. As Business Operations SRE, we are responsible for ensuring that our platform is stable and healthy. We break down barriers to running our products by fostering developer-run ownership and empowering developers to build resilient products. We support our developers during the application build phase in software run principles that include operational design, automation, capacity planning, and monitoring that leads to fault-tolerant, scalable products. We see the big picture and help create and enforce operations standards while facilitating an agile and learning culture. We support daily operations with a hyper focus on triage, root cause by understanding the business impact of our products and subsequently performing blameless post-mortems. The goal of every Business Operations team is to engage early in the development lifecycle to be more proactive and upfront in the development process, and to proactively manage production and change activities to maximize customer experience and increase the overall value of supported applications. Business Operations teams also focus on risk management by tying all our activities together with an overarching responsibility for compliance and risk mitigation across all our environments. Ultimately, the role of Business Operations is to align Product and Customer Focused priorities with Operational needs by providing continuous feedback throughout the lifecycle. What we're looking for - Currently enrolled in a Bachelor's or accelerated Master's degree, with an anticipated graduation date between December 2026 and June 2027 - Experience through projects or internships with programming/scripting (Python, Go, Bash, or similar), Linux/Unix systems, and foundational networking concepts. - Internship or strong project work with cloud platforms (AWS, Azure, or GCP), DevOps practices, CI/CD pipelines, containers, and automation tools through academic or hands-on experience. - Understanding of system monitoring, observability, application reliability, troubleshooting, and performance optimization concepts. - Exposure to tools such as Splunk, Dynatrace, Jenkins, Bitbucket, PCF, or similar technologies through coursework, projects, internships, or personal learning. - Strong analytical and problem-solving skills, with a willingness to learn new technologies and work in a collaborative team environment. - This role is not eligible for Mastercard's work authorization sponsorship. As such, candidates must be eligible to work in the United States, now as well as in the future, without employer sponsorship. For example, students or recent graduates in the United States on an F1 visa (including those with CPT or OPT authorization) are not eligible for this role Please be sure to upload an unofficial copy of your school transcript when submitting your application. Base Salary: $81,000 Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard's security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines. In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations.
09/26/2026
Full time
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Site Reliability Engineer I, Launch Program 2027 - St. Louis, MO, US Why join Mastercard's Launch Program? Throughout this 18-month program, you'll develop the ability to connect ideas, people, and markets to drive commercial impact. Through hands-on experiences, cross-functional projects, and structured learning opportunities, you'll gain exposure to multiple areas of Mastercard's business while building broad business acumen and a global perspective. You'll collaborate with teams across functions, contribute to strategic initiatives, and strengthen the skills needed to solve complex business challenges. This experience will help you build a well-rounded commercial mindset and prepare you for a variety of career paths across Mastercard's global organization. About the team The role of the Business Operations Site Reliability Engineer is to be the production readiness steward for Mastercard products. As Business Operations SRE, we are responsible for ensuring that our platform is stable and healthy. We break down barriers to running our products by fostering developer-run ownership and empowering developers to build resilient products. We support our developers during the application build phase in software run principles that include operational design, automation, capacity planning, and monitoring that leads to fault-tolerant, scalable products. We see the big picture and help create and enforce operations standards while facilitating an agile and learning culture. We support daily operations with a hyper focus on triage, root cause by understanding the business impact of our products and subsequently performing blameless post-mortems. The goal of every Business Operations team is to engage early in the development lifecycle to be more proactive and upfront in the development process, and to proactively manage production and change activities to maximize customer experience and increase the overall value of supported applications. Business Operations teams also focus on risk management by tying all our activities together with an overarching responsibility for compliance and risk mitigation across all our environments. Ultimately, the role of Business Operations is to align Product and Customer Focused priorities with Operational needs by providing continuous feedback throughout the lifecycle. What we're looking for - Currently enrolled in a Bachelor's or accelerated Master's degree, with an anticipated graduation date between December 2026 and June 2027 - Experience through projects or internships with programming/scripting (Python, Go, Bash, or similar), Linux/Unix systems, and foundational networking concepts. - Internship or strong project work with cloud platforms (AWS, Azure, or GCP), DevOps practices, CI/CD pipelines, containers, and automation tools through academic or hands-on experience. - Understanding of system monitoring, observability, application reliability, troubleshooting, and performance optimization concepts. - Exposure to tools such as Splunk, Dynatrace, Jenkins, Bitbucket, PCF, or similar technologies through coursework, projects, internships, or personal learning. - Strong analytical and problem-solving skills, with a willingness to learn new technologies and work in a collaborative team environment. - This role is not eligible for Mastercard's work authorization sponsorship. As such, candidates must be eligible to work in the United States, now as well as in the future, without employer sponsorship. For example, students or recent graduates in the United States on an F1 visa (including those with CPT or OPT authorization) are not eligible for this role Please be sure to upload an unofficial copy of your school transcript when submitting your application. Base Salary: $81,000 Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard's security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines. In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations.
Job description: We are seeking an experienced and detail-oriented IT Manager - End User Enablement / Solutions Specialist - to oversee and optimize our organization's end user capabilities for the Hudson Tunnel Project (HTP). This is a once in a lifetime opportunity to contribute to this landmark project that is poised to deliver transformative impacts across economic, transportation, and environmental sustainability. This role is ideal for a seasoned IT professional with a strong background in user adoption, training and IT solutions, who is eager to lead, innovate, and ensure the reliability, security, and scalability of our systems. As an IT Manager - End User Enablement / Solutions Specialist, you will be focused on improving end-user productivity and adoption beyond break/fix support. Designs and implements solutions such as templates, automations, and collaboration patterns in Microsoft 365, SharePoint, PMIS, and related platforms. Runs enablement sessions, office hours, and targeted training for high-impact groups including project controls, field engineers, and CEC staff. What You'll Do: Drive enduser enablement programs, including training, onboarding sessions, and targeted adoption initiatives for key user groups. Design and implement productivity solutions such as templates, automations, workflows, and collaboration patterns across Microsoft 365, SharePoint, PMIS, and related platforms. Develop and maintain userfocused documentation, guides, knowledge articles, and bestpractice playbooks to support scalable adoption. Partner with crossfunctional teams to understand business needs and translate them into intuitive, usercentered technology solutions. Monitor system usage, adoption trends, and user feedback, identifying opportunities to improve usability, efficiency, and digital literacy. Ensure reliability, security, and compliance of enduser solutions while supporting continuous improvement across the IT environment. Qualifications: What You Bring Bachelor's degree in Information Technology, Information Systems, Computer Science, Business Technology, or a related field. 510+ years of experience in IT user enablement, digital adoption, or advanced IT solutions delivery. Hands-on experience with Microsoft 365, SharePoint, collaboration tools, workflow automation, and enterprise productivity platforms. Proven ability to design and deliver training, enablement programs, and user-centered technology solutions. Strong communication and facilitation skills, with the ability to engage technical and non-technical audiences. Experience working in complex, cross-functional environments, ideally within infrastructure, engineering, construction, or other large project settings. Attributes We Value Initiative: You take ownership and proactively drive progress. Growth Mindset: You embrace learning and continuous improvement. Ownership: You deliver high-quality outcomes from start to finish. Collaboration: You work effectively across teams and influence without direct authority. Why is This a Great Opportunity: You'll be joining a mission-driven organization at a pivotal moment. This role offers the chance to shape how thousands of users engage with modern technology while contributing to one of the most significant infrastructure projects in the region. You'll work with cutting-edge cloud platforms, collaborate with talented professionals, and help build an environment where people feel confident, capable, and empowered by the tools they use every day. If you're passionate about elevating user experience and driving meaningful impact, we'd be excited to welcome you to the team. Salary Type : Annual Salary Salary Min : $ 120000 Salary Max : $ 160000 Currency Type : USD
09/26/2026
Full time
Job description: We are seeking an experienced and detail-oriented IT Manager - End User Enablement / Solutions Specialist - to oversee and optimize our organization's end user capabilities for the Hudson Tunnel Project (HTP). This is a once in a lifetime opportunity to contribute to this landmark project that is poised to deliver transformative impacts across economic, transportation, and environmental sustainability. This role is ideal for a seasoned IT professional with a strong background in user adoption, training and IT solutions, who is eager to lead, innovate, and ensure the reliability, security, and scalability of our systems. As an IT Manager - End User Enablement / Solutions Specialist, you will be focused on improving end-user productivity and adoption beyond break/fix support. Designs and implements solutions such as templates, automations, and collaboration patterns in Microsoft 365, SharePoint, PMIS, and related platforms. Runs enablement sessions, office hours, and targeted training for high-impact groups including project controls, field engineers, and CEC staff. What You'll Do: Drive enduser enablement programs, including training, onboarding sessions, and targeted adoption initiatives for key user groups. Design and implement productivity solutions such as templates, automations, workflows, and collaboration patterns across Microsoft 365, SharePoint, PMIS, and related platforms. Develop and maintain userfocused documentation, guides, knowledge articles, and bestpractice playbooks to support scalable adoption. Partner with crossfunctional teams to understand business needs and translate them into intuitive, usercentered technology solutions. Monitor system usage, adoption trends, and user feedback, identifying opportunities to improve usability, efficiency, and digital literacy. Ensure reliability, security, and compliance of enduser solutions while supporting continuous improvement across the IT environment. Qualifications: What You Bring Bachelor's degree in Information Technology, Information Systems, Computer Science, Business Technology, or a related field. 510+ years of experience in IT user enablement, digital adoption, or advanced IT solutions delivery. Hands-on experience with Microsoft 365, SharePoint, collaboration tools, workflow automation, and enterprise productivity platforms. Proven ability to design and deliver training, enablement programs, and user-centered technology solutions. Strong communication and facilitation skills, with the ability to engage technical and non-technical audiences. Experience working in complex, cross-functional environments, ideally within infrastructure, engineering, construction, or other large project settings. Attributes We Value Initiative: You take ownership and proactively drive progress. Growth Mindset: You embrace learning and continuous improvement. Ownership: You deliver high-quality outcomes from start to finish. Collaboration: You work effectively across teams and influence without direct authority. Why is This a Great Opportunity: You'll be joining a mission-driven organization at a pivotal moment. This role offers the chance to shape how thousands of users engage with modern technology while contributing to one of the most significant infrastructure projects in the region. You'll work with cutting-edge cloud platforms, collaborate with talented professionals, and help build an environment where people feel confident, capable, and empowered by the tools they use every day. If you're passionate about elevating user experience and driving meaningful impact, we'd be excited to welcome you to the team. Salary Type : Annual Salary Salary Min : $ 120000 Salary Max : $ 160000 Currency Type : USD
Job description: Company Join a global leader in power and thermal management solutions, celebrated for innovative approaches and advanced technologies. With a steadfast commitment to excellence, they distinguish themselves through pioneering energy-efficiency solutions and award-winning industrial automation technology. They continue to shape the future through: - Power and thermal management solutions - Microgrid solutions for data centers - Smart energy infrastructure for utility and residential applications - Advanced manufacturing automation and methods - Solar and battery farms A true game-changer in the industry where innovation meets opportunity. They Value and Appreciate Their Employees - Medical, Dental, and Vision Insurance with low out-of-pocket costs- 401(k) Retirement Plan with a 50% company match on contributions up to 10% of salary - Short-Term and Long-Term Disability Insurance for financial support during challenging times - Flexible Spending Accounts (FSA) for healthcare and dependent care - Employee Assistance Program (EAP) with unlimited phone sessions and in-person counseling - Professional Development Opportunities with training and education programs to advance your career Your Role with the Company In this Field Application Engineer (FAE) role you will drive the successful implementation of power and thermal products while understanding customer needs and applications. This role requires deep technical expertise and commercial judgment to achieve business outcomes, while building strong cross-functional relationships across Product Management, Sales, Engineering, and key external stakeholders. Youll be the on-site technical champion at customer locations, key accounts, and partner organizations delivering pre-sales demonstrations, design-in support, post-sales troubleshooting, and training. Success will rely on applying progressive project management practices, collaborating with global R&D, and approaching challenges with both curiosity and an entrepreneurial spirit. Highlights of Your Impact: - Provide technical and project leadership for named key accounts, serving as factory liaison - Deliver pre-sales applications support to expand adoption at strategic customers - Become the go-to technical expert, testing new product introductions and validating performance - Partner with R&D to close the loop on product issues, bugs, or improvement opportunities - Support sales with training, product launches, technical documentation, and industry trade shows - Develop customer-facing materials (application notes, presentations, success stories) to highlight solutions Community Information Based in Raleigh, North Carolina, youll find yourself in one of the fastest-growing innovation hubs in the U.S. The Research Triangle region is home to leading universities, a thriving tech corridor, and a strong manufacturing base. - Quality of Life: Affordable housing, low cost of living compared to other major tech centers, and a wide range of cultural and recreational options - Education: Excellent K-12 schools and proximity to Duke, UNC-Chapel Hill, and NC State - Lifestyle: Easy access to the Blue Ridge Mountains and Atlantic coast, with a vibrant dining, arts, and sports scene - Family-Friendly: Safe neighborhoods, diverse communities, and ample opportunities for outdoor activities year-round Qualifications: - B.S.E. in Electrical, Mechanical, or related engineering discipline - 5+ years related product or field application experience in power electronic products - Proven ability to translate customer needs into solutions and champion those solutions internally - Hands-on expertise with power electronics (AC/DC, DC/DC, DC/AC converters, chargers, motor drives) - Familiarity with thermal solutions (axial fans, EC fans, liquid cooling, solenoids, pumps) - Strong communication, presentation, and cross-functional collaboration skills - Market familiarity with industries including industrial logistics, energy, agriculture, medical, lighting, automation, food & beverage, off-road vehicles, CNC machines, packaging, oil & gas - Willingness to travel 2030% Key Competencies: - Deep technical understanding of power and thermal product applications - Strong commercial instincts to align technical efforts with business growth - Research, data analysis, planning, and strategic thinking skills - Initiative, accountability, and ownership of projects and outcomes - Highly motivated, self-starter, adaptable, and team-focused Why is This a Great Opportunity: They continue to shape the future through: - Power and thermal management solutions - Microgrid solutions for data centers - Smart energy infrastructure for utility and residential applications - Advanced manufacturing automation and methods - Solar and battery farms A true game-changer in the industry where innovation meets opportunity. Salary Type : Annual Salary Salary Min : $ 90000 Salary Max : $ 120000 Currency Type : USD
09/26/2026
Full time
Job description: Company Join a global leader in power and thermal management solutions, celebrated for innovative approaches and advanced technologies. With a steadfast commitment to excellence, they distinguish themselves through pioneering energy-efficiency solutions and award-winning industrial automation technology. They continue to shape the future through: - Power and thermal management solutions - Microgrid solutions for data centers - Smart energy infrastructure for utility and residential applications - Advanced manufacturing automation and methods - Solar and battery farms A true game-changer in the industry where innovation meets opportunity. They Value and Appreciate Their Employees - Medical, Dental, and Vision Insurance with low out-of-pocket costs- 401(k) Retirement Plan with a 50% company match on contributions up to 10% of salary - Short-Term and Long-Term Disability Insurance for financial support during challenging times - Flexible Spending Accounts (FSA) for healthcare and dependent care - Employee Assistance Program (EAP) with unlimited phone sessions and in-person counseling - Professional Development Opportunities with training and education programs to advance your career Your Role with the Company In this Field Application Engineer (FAE) role you will drive the successful implementation of power and thermal products while understanding customer needs and applications. This role requires deep technical expertise and commercial judgment to achieve business outcomes, while building strong cross-functional relationships across Product Management, Sales, Engineering, and key external stakeholders. Youll be the on-site technical champion at customer locations, key accounts, and partner organizations delivering pre-sales demonstrations, design-in support, post-sales troubleshooting, and training. Success will rely on applying progressive project management practices, collaborating with global R&D, and approaching challenges with both curiosity and an entrepreneurial spirit. Highlights of Your Impact: - Provide technical and project leadership for named key accounts, serving as factory liaison - Deliver pre-sales applications support to expand adoption at strategic customers - Become the go-to technical expert, testing new product introductions and validating performance - Partner with R&D to close the loop on product issues, bugs, or improvement opportunities - Support sales with training, product launches, technical documentation, and industry trade shows - Develop customer-facing materials (application notes, presentations, success stories) to highlight solutions Community Information Based in Raleigh, North Carolina, youll find yourself in one of the fastest-growing innovation hubs in the U.S. The Research Triangle region is home to leading universities, a thriving tech corridor, and a strong manufacturing base. - Quality of Life: Affordable housing, low cost of living compared to other major tech centers, and a wide range of cultural and recreational options - Education: Excellent K-12 schools and proximity to Duke, UNC-Chapel Hill, and NC State - Lifestyle: Easy access to the Blue Ridge Mountains and Atlantic coast, with a vibrant dining, arts, and sports scene - Family-Friendly: Safe neighborhoods, diverse communities, and ample opportunities for outdoor activities year-round Qualifications: - B.S.E. in Electrical, Mechanical, or related engineering discipline - 5+ years related product or field application experience in power electronic products - Proven ability to translate customer needs into solutions and champion those solutions internally - Hands-on expertise with power electronics (AC/DC, DC/DC, DC/AC converters, chargers, motor drives) - Familiarity with thermal solutions (axial fans, EC fans, liquid cooling, solenoids, pumps) - Strong communication, presentation, and cross-functional collaboration skills - Market familiarity with industries including industrial logistics, energy, agriculture, medical, lighting, automation, food & beverage, off-road vehicles, CNC machines, packaging, oil & gas - Willingness to travel 2030% Key Competencies: - Deep technical understanding of power and thermal product applications - Strong commercial instincts to align technical efforts with business growth - Research, data analysis, planning, and strategic thinking skills - Initiative, accountability, and ownership of projects and outcomes - Highly motivated, self-starter, adaptable, and team-focused Why is This a Great Opportunity: They continue to shape the future through: - Power and thermal management solutions - Microgrid solutions for data centers - Smart energy infrastructure for utility and residential applications - Advanced manufacturing automation and methods - Solar and battery farms A true game-changer in the industry where innovation meets opportunity. Salary Type : Annual Salary Salary Min : $ 90000 Salary Max : $ 120000 Currency Type : USD
Description: GXM is seeking a Senior Digital Engineer - MBSE & Data Science to support advanced defense and space-related mission programs focused on Command and Control (C2), mission systems integration, cloud modernization, data-driven decision support, and enterprise capability delivery. The selected candidate will combine Digital Engineering and Model-Based Systems Engineering (MBSE) with data science and analytics to develop and maintain authoritative digital representations of mission systems and their operational context. The role will connect mission threads, operational workflows, requirements, system architectures, interfaces, data flows, analytics, and technical baselines into a traceable digital engineering environment that supports integration, assessment, and decision-making across the system lifecycle. The candidate will use engineering models and mission data to characterize system dependencies, assess integration and operational performance, identify capability and data gaps, support technical trade studies, and evaluate analytic or AI/ML-enabled capabilities. As appropriate, the candidate will develop repeatable analysis workflows using Python, SQL, Jupyter, statistical methods, data visualization, and machine learning techniques to inform architecture and mission-engineering decisions. This role requires close collaboration with enterprise and solutions architects, systems engineers, software and data engineers, cybersecurity personnel, mission operators, and Government stakeholders to ensure engineering models, data relationships, analytic assumptions, and technical decisions are accurate, explainable, traceable, and aligned to mission outcomes. This position is onsite in Colorado Springs, CO. Hybrid flexibility may be available over time based on mission requirements, classified work requirements, program execution needs, and achievement of objectives. Responsibilities Develop, maintain, and govern MBSE models supporting mission systems, enterprise capabilities, operational architectures, and C2 integration using SysML and related digital engineering methods. Model mission threads, operational workflows, system functions, interfaces, dependencies, data exchanges, analytic services, and decision-support relationships to provide an integrated view of mission execution and system behavior. Establish and maintain digital-thread traceability from mission needs and operational use cases through requirements, architecture elements, interfaces, data sources, analytic functions, verification evidence, and mission outcomes. Develop and maintain data architecture artifacts, including logical and physical data flows, source-to-consumer mappings, data/interface relationships, schemas, metadata, data lineage, and provenance needed to support integration and analytics. Acquire, clean, transform, explore, and analyze structured and unstructured data to support engineering analysis, mission assessment, capability evaluation, and operational decision support. Apply statistical analysis, feature engineering, anomaly detection, classification, clustering, forecasting, or other machine learning techniques when appropriate; select methods based on mission need, data characteristics, and operational constraints rather than technology novelty. Evaluate analytic and AI/ML-enabled capabilities using mission-relevant measures of performance and effectiveness, including accuracy, precision/recall, latency, confidence, robustness, uncertainty, false-alarm rates, and operational utility as applicable. Support explainable and auditable AI/ML integration by maintaining traceability to source data, data transformations, model versions, analytic methods, assumptions, confidence measures, provenance, and operator actions. Assess data quality, completeness, consistency, timeliness, latency, availability, and fitness for use; identify data risks and recommend engineering or operational mitigations. Create clear technical visualizations, engineering views, analytic products, and decision-support artifacts that communicate system behavior, integration dependencies, data relationships, technical risks, and mission impact to technical and non-technical stakeholders. Support requirements engineering activities, including elicitation, decomposition, allocation, validation, verification planning, change impact analysis, and requirements-to-architecture traceability. Conduct model- and data-informed trade studies, sensitivity analyses, gap assessments, and technical evaluations to support architecture decisions, capability insertion, integration planning, and technical baseline management. Support development and management of technical baselines across hardware, software, data, infrastructure, cloud, security, and operational environments. Participate in architecture reviews, engineering working groups, technical assessments, model governance activities, configuration management, and design decisions; ensure digital engineering artifacts remain synchronized with implemented system changes. Collaborate with Agile and DevSecOps teams to integrate engineering models, requirements, data products, analytic prototypes, interfaces, and verification evidence into iterative capability releases. Requirements: Required Qualifications U.S. Citizen with an active TS/SCI security clearance and ability to maintain required access throughout employment. Bachelor's degree in Systems Engineering, Engineering, Computer Science, Data Science, Applied Mathematics, Statistics, Operations Research, Information Systems, or a related technical or quantitative discipline. 5+ years of relevant experience in systems engineering, digital engineering, MBSE, mission engineering, data science, analytics, or architecture development, including demonstrated experience working across multiple disciplines. Hands-on experience with MBSE tools such as Cameo Systems Modeler/MagicDraw, Sparx Enterprise Architect, or comparable modeling platforms. Experience developing SysML-based architecture models, engineering artifacts, requirements relationships, interface definitions, system dependencies, and technical documentation. Demonstrated data analysis or data science experience using Python and SQL, including data manipulation, exploratory analysis, statistics, and visualization. Working knowledge of Python data-science libraries and analytic environments such as pandas, NumPy, SciPy, scikit-learn, Matplotlib/Plotly, Jupyter, or equivalent tools. Experience translating mission, operational, or engineering questions into measurable analytic approaches, identifying appropriate data, defining assumptions, and communicating limitations and results. Familiarity with data modeling, data pipelines, APIs/interfaces, structured and semi-structured data, metadata, data quality, lineage, and provenance concepts. Working knowledge of statistical methods and machine learning fundamentals, including model selection, validation, performance metrics, overfitting, uncertainty, and appropriate use of training/test data. Experience supporting requirements management, traceability, technical baseline development, configuration management, and engineering change assessment. Experience working within Agile, DevSecOps, or other iterative engineering and software-delivery environments. Strong analytical reasoning, problem-solving, technical writing, communication, and stakeholder-engagement skills. Desired Qualifications Experience supporting defense, space, intelligence, homeland defense, or multi-domain operational environments, particularly Command and Control (C2), Space Domain Awareness (SDA), mission systems, or enterprise modernization initiatives. Experience applying the DoD Digital Engineering Strategy, digital-thread concepts, mission engineering, DoDAF/UAF, or SysML-based architecture development in a DoD environment. Experience with Cameo Teamwork Cloud, model repositories, collaborative model governance, model validation, or integration of MBSE tools with requirements and lifecycle-management platforms. Experience developing or evaluating AI/ML-enabled data fusion, anomaly detection, predictive analytics, sensor/data correlation, decision-support analytics, or other operational analytics for mission environments. Experience with cloud-native or distributed data environments, data engineering platforms, containerized analytics, APIs, message/event data, or big-data technologies in secure environments. Familiarity with data engineering and MLOps concepts, including version control, reproducible pipelines, model/data versioning, test automation, monitoring, and deployment within DevSecOps environments. Master's degree in Systems Engineering, Data Science, Computer Science, Applied Mathematics, Statistics, Operations Research, or a related technical field. OCSMP, INCOSE ASEP/CSEP/ESEP, Cameo certification, cloud/data engineering certification, or recognized data science/AI certification. $130,000-$195,000 base 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 . click apply for full job details
09/26/2026
Full time
Description: GXM is seeking a Senior Digital Engineer - MBSE & Data Science to support advanced defense and space-related mission programs focused on Command and Control (C2), mission systems integration, cloud modernization, data-driven decision support, and enterprise capability delivery. The selected candidate will combine Digital Engineering and Model-Based Systems Engineering (MBSE) with data science and analytics to develop and maintain authoritative digital representations of mission systems and their operational context. The role will connect mission threads, operational workflows, requirements, system architectures, interfaces, data flows, analytics, and technical baselines into a traceable digital engineering environment that supports integration, assessment, and decision-making across the system lifecycle. The candidate will use engineering models and mission data to characterize system dependencies, assess integration and operational performance, identify capability and data gaps, support technical trade studies, and evaluate analytic or AI/ML-enabled capabilities. As appropriate, the candidate will develop repeatable analysis workflows using Python, SQL, Jupyter, statistical methods, data visualization, and machine learning techniques to inform architecture and mission-engineering decisions. This role requires close collaboration with enterprise and solutions architects, systems engineers, software and data engineers, cybersecurity personnel, mission operators, and Government stakeholders to ensure engineering models, data relationships, analytic assumptions, and technical decisions are accurate, explainable, traceable, and aligned to mission outcomes. This position is onsite in Colorado Springs, CO. Hybrid flexibility may be available over time based on mission requirements, classified work requirements, program execution needs, and achievement of objectives. Responsibilities Develop, maintain, and govern MBSE models supporting mission systems, enterprise capabilities, operational architectures, and C2 integration using SysML and related digital engineering methods. Model mission threads, operational workflows, system functions, interfaces, dependencies, data exchanges, analytic services, and decision-support relationships to provide an integrated view of mission execution and system behavior. Establish and maintain digital-thread traceability from mission needs and operational use cases through requirements, architecture elements, interfaces, data sources, analytic functions, verification evidence, and mission outcomes. Develop and maintain data architecture artifacts, including logical and physical data flows, source-to-consumer mappings, data/interface relationships, schemas, metadata, data lineage, and provenance needed to support integration and analytics. Acquire, clean, transform, explore, and analyze structured and unstructured data to support engineering analysis, mission assessment, capability evaluation, and operational decision support. Apply statistical analysis, feature engineering, anomaly detection, classification, clustering, forecasting, or other machine learning techniques when appropriate; select methods based on mission need, data characteristics, and operational constraints rather than technology novelty. Evaluate analytic and AI/ML-enabled capabilities using mission-relevant measures of performance and effectiveness, including accuracy, precision/recall, latency, confidence, robustness, uncertainty, false-alarm rates, and operational utility as applicable. Support explainable and auditable AI/ML integration by maintaining traceability to source data, data transformations, model versions, analytic methods, assumptions, confidence measures, provenance, and operator actions. Assess data quality, completeness, consistency, timeliness, latency, availability, and fitness for use; identify data risks and recommend engineering or operational mitigations. Create clear technical visualizations, engineering views, analytic products, and decision-support artifacts that communicate system behavior, integration dependencies, data relationships, technical risks, and mission impact to technical and non-technical stakeholders. Support requirements engineering activities, including elicitation, decomposition, allocation, validation, verification planning, change impact analysis, and requirements-to-architecture traceability. Conduct model- and data-informed trade studies, sensitivity analyses, gap assessments, and technical evaluations to support architecture decisions, capability insertion, integration planning, and technical baseline management. Support development and management of technical baselines across hardware, software, data, infrastructure, cloud, security, and operational environments. Participate in architecture reviews, engineering working groups, technical assessments, model governance activities, configuration management, and design decisions; ensure digital engineering artifacts remain synchronized with implemented system changes. Collaborate with Agile and DevSecOps teams to integrate engineering models, requirements, data products, analytic prototypes, interfaces, and verification evidence into iterative capability releases. Requirements: Required Qualifications U.S. Citizen with an active TS/SCI security clearance and ability to maintain required access throughout employment. Bachelor's degree in Systems Engineering, Engineering, Computer Science, Data Science, Applied Mathematics, Statistics, Operations Research, Information Systems, or a related technical or quantitative discipline. 5+ years of relevant experience in systems engineering, digital engineering, MBSE, mission engineering, data science, analytics, or architecture development, including demonstrated experience working across multiple disciplines. Hands-on experience with MBSE tools such as Cameo Systems Modeler/MagicDraw, Sparx Enterprise Architect, or comparable modeling platforms. Experience developing SysML-based architecture models, engineering artifacts, requirements relationships, interface definitions, system dependencies, and technical documentation. Demonstrated data analysis or data science experience using Python and SQL, including data manipulation, exploratory analysis, statistics, and visualization. Working knowledge of Python data-science libraries and analytic environments such as pandas, NumPy, SciPy, scikit-learn, Matplotlib/Plotly, Jupyter, or equivalent tools. Experience translating mission, operational, or engineering questions into measurable analytic approaches, identifying appropriate data, defining assumptions, and communicating limitations and results. Familiarity with data modeling, data pipelines, APIs/interfaces, structured and semi-structured data, metadata, data quality, lineage, and provenance concepts. Working knowledge of statistical methods and machine learning fundamentals, including model selection, validation, performance metrics, overfitting, uncertainty, and appropriate use of training/test data. Experience supporting requirements management, traceability, technical baseline development, configuration management, and engineering change assessment. Experience working within Agile, DevSecOps, or other iterative engineering and software-delivery environments. Strong analytical reasoning, problem-solving, technical writing, communication, and stakeholder-engagement skills. Desired Qualifications Experience supporting defense, space, intelligence, homeland defense, or multi-domain operational environments, particularly Command and Control (C2), Space Domain Awareness (SDA), mission systems, or enterprise modernization initiatives. Experience applying the DoD Digital Engineering Strategy, digital-thread concepts, mission engineering, DoDAF/UAF, or SysML-based architecture development in a DoD environment. Experience with Cameo Teamwork Cloud, model repositories, collaborative model governance, model validation, or integration of MBSE tools with requirements and lifecycle-management platforms. Experience developing or evaluating AI/ML-enabled data fusion, anomaly detection, predictive analytics, sensor/data correlation, decision-support analytics, or other operational analytics for mission environments. Experience with cloud-native or distributed data environments, data engineering platforms, containerized analytics, APIs, message/event data, or big-data technologies in secure environments. Familiarity with data engineering and MLOps concepts, including version control, reproducible pipelines, model/data versioning, test automation, monitoring, and deployment within DevSecOps environments. Master's degree in Systems Engineering, Data Science, Computer Science, Applied Mathematics, Statistics, Operations Research, or a related technical field. OCSMP, INCOSE ASEP/CSEP/ESEP, Cameo certification, cloud/data engineering certification, or recognized data science/AI certification. $130,000-$195,000 base 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 . click apply for full job details
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Site Reliability Engineer II The BizOps team at Mastercard is looking for a Site Reliability Engineer (SRE) who thrives on solving complex problems, building robust CI/CD pipelines, and leading the organization in DevOps automation and best practices. Are You: A natural problem-solver who loves to understand how things work? Passionate about CI/CD and obsessed with automation? Someone with a low tolerance for manual tasks, always seeking ways to automate? If yes, we want to hear from you. About the BizOps Team Business Operations (BizOps) is at the forefront of Mastercard's DevOps transformation, leading the charge through tooling, automation, and advocacy across development, quality, release, and product teams. We're looking for individuals who: Have an appetite for change. Push the boundaries of what automation can achieve. Build strong relationships across development, operations, and product teams. Mission BizOps ensures production readiness by partnering closely with developers to design, build, implement, and support services. Key responsibilities include: Ensuring operational excellence in availability, performance, capacity, monitoring, self-healing, and deployment automation. Supporting daily operations with a focus on root cause analysis and business impact. Driving the "shift-left" approach, engaging early in development to enhance reliability. Managing risk and compliance across all environments. Standardizing and streamlining traditional support functions. Acting as a key communication bridge between internal and external stakeholders. Aligning product and customer priorities with operational needs. Responsibilities Engage in and improve the entire service lifecycle - from design to deployment and operations. Analyze ITSM platform activities and provide feedback to development teams on operational gaps and resiliency issues. Provide system design consulting, capacity planning, and launch readiness support. Monitor and maintain system availability, latency, and health. Scale systems through automation and reliability-focused improvements. Support and improve the CI/CD pipeline for software promotion, enforcing validation and operational gating. Lead DevOps automation initiatives and best practices at Mastercard. Drive sustainable incident response and conduct blameless postmortems. Take a holistic approach to problem-solving during production incidents, improving Mean Time to Recovery (MTTR). Work effectively with a globally distributed team across multiple time zones. Share knowledge and mentor junior engineers. Qualifications BS degree in Computer Science or a related technical field (e.g., Physics, Mathematics) or equivalent practical experience. Strong foundation in algorithms, data structures, scripting, software design, and pipeline management. Systematic problem-solving approach with excellent communication, ownership, and drive. Experience debugging and optimizing code, and automating manual tasks. Ability to handle high-pressure situations and make decisions with urgency. Proficiency in one or more programming languages: C, C++, Java, Python, Go, Perl, or Ruby. Experience working with large-scale distributed systems and troubleshooting them effectively. Experience with CI/CD tools, such as: Git/BitBucket Jenkins Maven Artifactory Chef Strong background in designing and implementing efficient CI/CD flows that get code from development to production with high quality and minimal manual effort. Proven track record of working across development, operations, and product teams Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard's security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines. In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations. Pay Ranges O'Fallon, Missouri: $76,000 - $127,000 USD
09/26/2026
Full time
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Site Reliability Engineer II The BizOps team at Mastercard is looking for a Site Reliability Engineer (SRE) who thrives on solving complex problems, building robust CI/CD pipelines, and leading the organization in DevOps automation and best practices. Are You: A natural problem-solver who loves to understand how things work? Passionate about CI/CD and obsessed with automation? Someone with a low tolerance for manual tasks, always seeking ways to automate? If yes, we want to hear from you. About the BizOps Team Business Operations (BizOps) is at the forefront of Mastercard's DevOps transformation, leading the charge through tooling, automation, and advocacy across development, quality, release, and product teams. We're looking for individuals who: Have an appetite for change. Push the boundaries of what automation can achieve. Build strong relationships across development, operations, and product teams. Mission BizOps ensures production readiness by partnering closely with developers to design, build, implement, and support services. Key responsibilities include: Ensuring operational excellence in availability, performance, capacity, monitoring, self-healing, and deployment automation. Supporting daily operations with a focus on root cause analysis and business impact. Driving the "shift-left" approach, engaging early in development to enhance reliability. Managing risk and compliance across all environments. Standardizing and streamlining traditional support functions. Acting as a key communication bridge between internal and external stakeholders. Aligning product and customer priorities with operational needs. Responsibilities Engage in and improve the entire service lifecycle - from design to deployment and operations. Analyze ITSM platform activities and provide feedback to development teams on operational gaps and resiliency issues. Provide system design consulting, capacity planning, and launch readiness support. Monitor and maintain system availability, latency, and health. Scale systems through automation and reliability-focused improvements. Support and improve the CI/CD pipeline for software promotion, enforcing validation and operational gating. Lead DevOps automation initiatives and best practices at Mastercard. Drive sustainable incident response and conduct blameless postmortems. Take a holistic approach to problem-solving during production incidents, improving Mean Time to Recovery (MTTR). Work effectively with a globally distributed team across multiple time zones. Share knowledge and mentor junior engineers. Qualifications BS degree in Computer Science or a related technical field (e.g., Physics, Mathematics) or equivalent practical experience. Strong foundation in algorithms, data structures, scripting, software design, and pipeline management. Systematic problem-solving approach with excellent communication, ownership, and drive. Experience debugging and optimizing code, and automating manual tasks. Ability to handle high-pressure situations and make decisions with urgency. Proficiency in one or more programming languages: C, C++, Java, Python, Go, Perl, or Ruby. Experience working with large-scale distributed systems and troubleshooting them effectively. Experience with CI/CD tools, such as: Git/BitBucket Jenkins Maven Artifactory Chef Strong background in designing and implementing efficient CI/CD flows that get code from development to production with high quality and minimal manual effort. Proven track record of working across development, operations, and product teams Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard's security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines. In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations. Pay Ranges O'Fallon, Missouri: $76,000 - $127,000 USD
This job posting is anticipated to remain open for 30 days, from 16-Sep-2026. The posting may close early due to the volume of applicants. Join a financial services firm where your contributions are valued. Edward Jones is a Fortune 500 company where people come first. With over 9 million clients and 20,000 financial advisors across the U.S. and Canada, we're proud to be privately-owned, placing the focus on our clients rather than shareholder returns. Behind everything we do is our purpose: We partner for positive impact to improve the lives of our clients and colleagues, and together, better our communities and society. We are an innovative, flexible, and inclusive organization that attracts, develops, and inspires performance excellence and a sense of belonging. People are at the center of our partnership. Edward Jones associates are seen, heard, respected, and supported. This is what we believe makes us the best place to start or build your career. View our Purpose, Inclusion and Citizenship Report . Fortune 500, published June 2024, data as of December 2023. Compensation provided for using, not obtaining, the rating. Team Overview: The Application Security Architect, Agentic Secure Code Architect is a hands-on architecture-focused IC responsible for designing, integrating, maintaining, and improving a CI/CD-integrated AI evaluation harness used to assess application and infrastructure source code for security vulnerabilities and insecure-design practices. This role combines AppSec, DevSecOps, AI engineering, secure SDLC governance, and financial-services compliance, with strong emphasis on source-code protection, enterprise controls governance, repeatability, auditability, measurable risk reduction, and developer trust. What You'll Do: Architect the CI/CD-integrated AI secure-code evaluation harness as a hands-on IC for source code repositories and Secure SDLC lifecycles. Integrate evaluation workflows with pipeline tooling and AppSec reporting platforms. Design AI-assisted secure code review methods that complement SAST, SCA, DAST, secrets scanning, IaC scanning, threat modeling, security testing, and manual assessments. Maintain benchmarks, golden test cases, prompt/model versions, retrieval configurations, scoring criteria, and regression tests for AI-generated findings. Govern approved vendor and frontier AI models, including selection, routing, fallback patterns, accuracy, explainability, cost, and data-protection trade-offs. Define safeguards for proprietary production code, including access controls, approved model endpoints, minimization, retention limits, secure logging, and evidence handling. Route validated findings into developer workflows with actionable remediation guidance and feedback loops to reduce false positives and improve adoption. Define metrics and control evidence aligned to internal governance processes, financial services industries authorities, and cyber security frameworks (NIST SSDF, NIST CSF 2.0, NYDFS, FINRA, SOX ITGC, FFIEC, GLBA). What Experience You'll Need: Bachelor's degree in Computer Science, Cybersecurity, Software Engineering, Information Technology, Engineering, or related field. 10+ years of experience in application security, secure software engineering, DevSecOps, security architecture, or related cybersecurity roles. Deep expertise in secure code review, vulnerability detection, threat modeling, exploitability analysis, and secure SDLC practices. Experience with performing vulnerability and penetration test readouts/walkthroughs with stakeholders. Hands-on experience with SAST, SCA, DAST, secrets scanning, API security testing, container security, infrastructure-as-code scanning, and developer workflow integrations. Experience integrating security capabilities into SDLC pipeline tooling: Jenkins, GitHub Actions, GitHub Enterprise, Atlassian, developer portals, source-control workflows, and DevSecOps toolchains. Practical experience using LLMs or AI models for code review, software engineering, vulnerability research, security analysis, or developer productivity use cases. Understanding of prompt engineering and optimization, RAG, model evaluation, AI guardrails, human-in-the-loop review, prompt/model versioning, and vendor/open-source model trade-offs. Experience designing or maintaining evaluation harnesses, benchmark suites, regression tests, validation pipelines, and test orchestration workflows. Strong understanding of concepts: OWASP, CWE, CVSS, NIST SSDF, AI security risks, regulated source-code handling, auditability, and vendor/model governance. What Could Set You Apart: Master's degree or relevant certifications such as CISSP, CSSLP, OSWE, GWAPT, CCSP, cloud security, Kubernetes security, or AI governance certifications. Experience delivering AI-assisted AppSec capabilities in a Fortune 500 or highly regulated financial services environment. Hands-on experience with enterprise AI platforms, approved vendor models, open-source models, secure hosting, RAG, and AI governance controls. Experience building secure code review automation, custom static analysis rules, vulnerability detection pipelines, benchmark datasets, or AI-based developer tooling. Demonstrated success reducing AppSec risk through improved detection accuracy, lower false positives, faster remediation, and stronger developer enablement. Candidates that live within a commutable distance from our Tempe, AZ and St. Louis, MO home office locations are expected to work in the office four days per week effective June 1, 2026. Before June 1, 2026, candidates that live within a commutable distance from our Tempe, AZ and St. Louis, MO home office locations are expected to work in the office three days per week, with preference for Tuesday through Thursday. At Edward Jones, we are building a place where everyone feels like they belong. We're proud of our associates' contributions to the firm and the recognitions we have received. Check out our U.S. awards and accolades: Insights & Information Blog Postings about Edward Jones Check out our Canadian awards and accolades: Insights & Information Blog Postings about Edward Jones Edward Jones does not discriminate on the basis of race, color, gender, religion, national origin, age, disability, sexual orientation, pregnancy, veteran status, genetic information or any other basis prohibited by applicable law. Edward Jones' compensation and benefits package includes medical and prescription drug, dental, vision, voluntary benefits (such as accident, hospital indemnity, and critical illness), short- and long-term disability, basic life, and basic AD&D coverage. Short- and long-term disability, basic life, and basic AD&D coverage are provided at no cost to associates. Edward Jones offers a 401k retirement plan, and tax-advantaged accounts: health savings account, and flexible spending account. Edward Jones observes ten paid holidays and provides 15 days of vacation for new associates beginning on January 1 of each year, as well as sick time, personal days, and a paid day for volunteerism. Associates may be eligible for bonuses and profit sharing. All associates are eligible for the firm's Employee Assistance Program. For more information on the Benefits available to Edward Jones associates, please visit our benefits page .
09/26/2026
Full time
This job posting is anticipated to remain open for 30 days, from 16-Sep-2026. The posting may close early due to the volume of applicants. Join a financial services firm where your contributions are valued. Edward Jones is a Fortune 500 company where people come first. With over 9 million clients and 20,000 financial advisors across the U.S. and Canada, we're proud to be privately-owned, placing the focus on our clients rather than shareholder returns. Behind everything we do is our purpose: We partner for positive impact to improve the lives of our clients and colleagues, and together, better our communities and society. We are an innovative, flexible, and inclusive organization that attracts, develops, and inspires performance excellence and a sense of belonging. People are at the center of our partnership. Edward Jones associates are seen, heard, respected, and supported. This is what we believe makes us the best place to start or build your career. View our Purpose, Inclusion and Citizenship Report . Fortune 500, published June 2024, data as of December 2023. Compensation provided for using, not obtaining, the rating. Team Overview: The Application Security Architect, Agentic Secure Code Architect is a hands-on architecture-focused IC responsible for designing, integrating, maintaining, and improving a CI/CD-integrated AI evaluation harness used to assess application and infrastructure source code for security vulnerabilities and insecure-design practices. This role combines AppSec, DevSecOps, AI engineering, secure SDLC governance, and financial-services compliance, with strong emphasis on source-code protection, enterprise controls governance, repeatability, auditability, measurable risk reduction, and developer trust. What You'll Do: Architect the CI/CD-integrated AI secure-code evaluation harness as a hands-on IC for source code repositories and Secure SDLC lifecycles. Integrate evaluation workflows with pipeline tooling and AppSec reporting platforms. Design AI-assisted secure code review methods that complement SAST, SCA, DAST, secrets scanning, IaC scanning, threat modeling, security testing, and manual assessments. Maintain benchmarks, golden test cases, prompt/model versions, retrieval configurations, scoring criteria, and regression tests for AI-generated findings. Govern approved vendor and frontier AI models, including selection, routing, fallback patterns, accuracy, explainability, cost, and data-protection trade-offs. Define safeguards for proprietary production code, including access controls, approved model endpoints, minimization, retention limits, secure logging, and evidence handling. Route validated findings into developer workflows with actionable remediation guidance and feedback loops to reduce false positives and improve adoption. Define metrics and control evidence aligned to internal governance processes, financial services industries authorities, and cyber security frameworks (NIST SSDF, NIST CSF 2.0, NYDFS, FINRA, SOX ITGC, FFIEC, GLBA). What Experience You'll Need: Bachelor's degree in Computer Science, Cybersecurity, Software Engineering, Information Technology, Engineering, or related field. 10+ years of experience in application security, secure software engineering, DevSecOps, security architecture, or related cybersecurity roles. Deep expertise in secure code review, vulnerability detection, threat modeling, exploitability analysis, and secure SDLC practices. Experience with performing vulnerability and penetration test readouts/walkthroughs with stakeholders. Hands-on experience with SAST, SCA, DAST, secrets scanning, API security testing, container security, infrastructure-as-code scanning, and developer workflow integrations. Experience integrating security capabilities into SDLC pipeline tooling: Jenkins, GitHub Actions, GitHub Enterprise, Atlassian, developer portals, source-control workflows, and DevSecOps toolchains. Practical experience using LLMs or AI models for code review, software engineering, vulnerability research, security analysis, or developer productivity use cases. Understanding of prompt engineering and optimization, RAG, model evaluation, AI guardrails, human-in-the-loop review, prompt/model versioning, and vendor/open-source model trade-offs. Experience designing or maintaining evaluation harnesses, benchmark suites, regression tests, validation pipelines, and test orchestration workflows. Strong understanding of concepts: OWASP, CWE, CVSS, NIST SSDF, AI security risks, regulated source-code handling, auditability, and vendor/model governance. What Could Set You Apart: Master's degree or relevant certifications such as CISSP, CSSLP, OSWE, GWAPT, CCSP, cloud security, Kubernetes security, or AI governance certifications. Experience delivering AI-assisted AppSec capabilities in a Fortune 500 or highly regulated financial services environment. Hands-on experience with enterprise AI platforms, approved vendor models, open-source models, secure hosting, RAG, and AI governance controls. Experience building secure code review automation, custom static analysis rules, vulnerability detection pipelines, benchmark datasets, or AI-based developer tooling. Demonstrated success reducing AppSec risk through improved detection accuracy, lower false positives, faster remediation, and stronger developer enablement. Candidates that live within a commutable distance from our Tempe, AZ and St. Louis, MO home office locations are expected to work in the office four days per week effective June 1, 2026. Before June 1, 2026, candidates that live within a commutable distance from our Tempe, AZ and St. Louis, MO home office locations are expected to work in the office three days per week, with preference for Tuesday through Thursday. At Edward Jones, we are building a place where everyone feels like they belong. We're proud of our associates' contributions to the firm and the recognitions we have received. Check out our U.S. awards and accolades: Insights & Information Blog Postings about Edward Jones Check out our Canadian awards and accolades: Insights & Information Blog Postings about Edward Jones Edward Jones does not discriminate on the basis of race, color, gender, religion, national origin, age, disability, sexual orientation, pregnancy, veteran status, genetic information or any other basis prohibited by applicable law. Edward Jones' compensation and benefits package includes medical and prescription drug, dental, vision, voluntary benefits (such as accident, hospital indemnity, and critical illness), short- and long-term disability, basic life, and basic AD&D coverage. Short- and long-term disability, basic life, and basic AD&D coverage are provided at no cost to associates. Edward Jones offers a 401k retirement plan, and tax-advantaged accounts: health savings account, and flexible spending account. Edward Jones observes ten paid holidays and provides 15 days of vacation for new associates beginning on January 1 of each year, as well as sick time, personal days, and a paid day for volunteerism. Associates may be eligible for bonuses and profit sharing. All associates are eligible for the firm's Employee Assistance Program. For more information on the Benefits available to Edward Jones associates, please visit our benefits page .
Location: Onsite, American Fork, Utah The Automation Engineer designs, implements, and maintains industrial automation, control, and instrumentation systems. This role requires expertise in electrical design, control programming, instrumentation, and system troubleshooting. The ideal candidate is detail-oriented, analytical, and thrives in a fast-paced manufacturing environment. Essential Functions Include: Design and develop industrial automation systems, including PLC, HMI, and SCADA applications. Program, test, and commission PLC/HMI control systems for new and existing equipment Design, construct, modify, and maintain control panel layouts and electrical schematics. Develop and update P&IDs and instrumentation diagrams using CAD software. Develop Functional Design Specifications and Control Narratives Specify, integrate, and calibrate industrial sensors and measurement devices. Troubleshoot automation hardware and instrumentation issues Ensure compliance with industry standards, safety regulations, and company policies. Lead and manage automation initiatives during entire project lifecycle from concept through commissioning Collaborate with engineering, maintenance, and production teams to improve automation and control processes. Stay current with emerging automation technologies and best practices. Perform other duties as assigned Qualifications Include: Bachelor's degree in electrical engineering, automation engineering, or related field. Hands-on experience with PLC programming and HMI/SCADA development (Ignition preferred) Experience in commissioning activities, including I/O checks and sequence testing. Familiarity with motor controls, PID loops, VFDs, sensors, and industrial instrumentation. Ability to read, redline, and update electrical schematics, P&IDs, and technical documentation. Strong analytical, troubleshooting, and problem-solving skills. Excellent communication and teamwork abilities Ability to travel up to 40% to company and supplier sites across North America. Preferred Qualifications: 2+ years of relative experience Proficiency with electrical design tools (AutoCAD Electrical or EPLAN preferred). Experience designing and constructing control panels utilizing applicable design standards. Strong Knowledge of industrial communication protocols such as Modbus, Ethernet/IP, etc. Understanding database integration including SQL, MES, or data historians. Experience with controls for utilities systems, such as steam, refrigeration, etc. Food Safety Requirements: Place high priority on food safety, quality, and sanitation by understanding and executing Thrive Freeze Dry's food safety and sanitation policies and procedures. Hold self and others accountable to Thrive Freeze Dry's food safety & sanitation guidelines and policies by communicating any food safety incident, observation, or opportunity to your leadership team or teammates. Physical Requirements - Must be able to perform the following functions with or without accommodations: Consistent and reliable attendance The usual and customary methods of performing the job's functions require the following physical demands: some lifting, carrying, pushing, and/or pulling; some stooping, kneeling, crouching, and/or crawling; and frequent fine finger dexterity. Generally, the job requires the following percentages of time committed to physical activity: 50% or more sitting, 50% or more walking, and 50% or more standing. The job is performed under some temperature variations and in a food manufacturing production environment. Unrestricted visual and audio abilities are required for the safety of all employees. The ability to lift to 40 lbs. is required. PIcdc9fbb6-
09/26/2026
Full time
Location: Onsite, American Fork, Utah The Automation Engineer designs, implements, and maintains industrial automation, control, and instrumentation systems. This role requires expertise in electrical design, control programming, instrumentation, and system troubleshooting. The ideal candidate is detail-oriented, analytical, and thrives in a fast-paced manufacturing environment. Essential Functions Include: Design and develop industrial automation systems, including PLC, HMI, and SCADA applications. Program, test, and commission PLC/HMI control systems for new and existing equipment Design, construct, modify, and maintain control panel layouts and electrical schematics. Develop and update P&IDs and instrumentation diagrams using CAD software. Develop Functional Design Specifications and Control Narratives Specify, integrate, and calibrate industrial sensors and measurement devices. Troubleshoot automation hardware and instrumentation issues Ensure compliance with industry standards, safety regulations, and company policies. Lead and manage automation initiatives during entire project lifecycle from concept through commissioning Collaborate with engineering, maintenance, and production teams to improve automation and control processes. Stay current with emerging automation technologies and best practices. Perform other duties as assigned Qualifications Include: Bachelor's degree in electrical engineering, automation engineering, or related field. Hands-on experience with PLC programming and HMI/SCADA development (Ignition preferred) Experience in commissioning activities, including I/O checks and sequence testing. Familiarity with motor controls, PID loops, VFDs, sensors, and industrial instrumentation. Ability to read, redline, and update electrical schematics, P&IDs, and technical documentation. Strong analytical, troubleshooting, and problem-solving skills. Excellent communication and teamwork abilities Ability to travel up to 40% to company and supplier sites across North America. Preferred Qualifications: 2+ years of relative experience Proficiency with electrical design tools (AutoCAD Electrical or EPLAN preferred). Experience designing and constructing control panels utilizing applicable design standards. Strong Knowledge of industrial communication protocols such as Modbus, Ethernet/IP, etc. Understanding database integration including SQL, MES, or data historians. Experience with controls for utilities systems, such as steam, refrigeration, etc. Food Safety Requirements: Place high priority on food safety, quality, and sanitation by understanding and executing Thrive Freeze Dry's food safety and sanitation policies and procedures. Hold self and others accountable to Thrive Freeze Dry's food safety & sanitation guidelines and policies by communicating any food safety incident, observation, or opportunity to your leadership team or teammates. Physical Requirements - Must be able to perform the following functions with or without accommodations: Consistent and reliable attendance The usual and customary methods of performing the job's functions require the following physical demands: some lifting, carrying, pushing, and/or pulling; some stooping, kneeling, crouching, and/or crawling; and frequent fine finger dexterity. Generally, the job requires the following percentages of time committed to physical activity: 50% or more sitting, 50% or more walking, and 50% or more standing. The job is performed under some temperature variations and in a food manufacturing production environment. Unrestricted visual and audio abilities are required for the safety of all employees. The ability to lift to 40 lbs. is required. PIcdc9fbb6-
This job posting is anticipated to remain open for 30 days, from 16-Sep-2026. The posting may close early due to the volume of applicants. Join a financial services firm where your contributions are valued. Edward Jones is a Fortune 500 company where people come first. With over 9 million clients and 20,000 financial advisors across the U.S. and Canada, we're proud to be privately-owned, placing the focus on our clients rather than shareholder returns. Behind everything we do is our purpose: We partner for positive impact to improve the lives of our clients and colleagues, and together, better our communities and society. We are an innovative, flexible, and inclusive organization that attracts, develops, and inspires performance excellence and a sense of belonging. People are at the center of our partnership. Edward Jones associates are seen, heard, respected, and supported. This is what we believe makes us the best place to start or build your career. View our Purpose, Inclusion and Citizenship Report . Fortune 500, published June 2024, data as of December 2023. Compensation provided for using, not obtaining, the rating. Team Overview: The Application Security Architect, Agentic Secure Code Architect is a hands-on architecture-focused IC responsible for designing, integrating, maintaining, and improving a CI/CD-integrated AI evaluation harness used to assess application and infrastructure source code for security vulnerabilities and insecure-design practices. This role combines AppSec, DevSecOps, AI engineering, secure SDLC governance, and financial-services compliance, with strong emphasis on source-code protection, enterprise controls governance, repeatability, auditability, measurable risk reduction, and developer trust. What You'll Do: Architect the CI/CD-integrated AI secure-code evaluation harness as a hands-on IC for source code repositories and Secure SDLC lifecycles. Integrate evaluation workflows with pipeline tooling and AppSec reporting platforms. Design AI-assisted secure code review methods that complement SAST, SCA, DAST, secrets scanning, IaC scanning, threat modeling, security testing, and manual assessments. Maintain benchmarks, golden test cases, prompt/model versions, retrieval configurations, scoring criteria, and regression tests for AI-generated findings. Govern approved vendor and frontier AI models, including selection, routing, fallback patterns, accuracy, explainability, cost, and data-protection trade-offs. Define safeguards for proprietary production code, including access controls, approved model endpoints, minimization, retention limits, secure logging, and evidence handling. Route validated findings into developer workflows with actionable remediation guidance and feedback loops to reduce false positives and improve adoption. Define metrics and control evidence aligned to internal governance processes, financial services industries authorities, and cyber security frameworks (NIST SSDF, NIST CSF 2.0, NYDFS, FINRA, SOX ITGC, FFIEC, GLBA). What Experience You'll Need: Bachelor's degree in Computer Science, Cybersecurity, Software Engineering, Information Technology, Engineering, or related field. 10+ years of experience in application security, secure software engineering, DevSecOps, security architecture, or related cybersecurity roles. Deep expertise in secure code review, vulnerability detection, threat modeling, exploitability analysis, and secure SDLC practices. Experience with performing vulnerability and penetration test readouts/walkthroughs with stakeholders. Hands-on experience with SAST, SCA, DAST, secrets scanning, API security testing, container security, infrastructure-as-code scanning, and developer workflow integrations. Experience integrating security capabilities into SDLC pipeline tooling: Jenkins, GitHub Actions, GitHub Enterprise, Atlassian, developer portals, source-control workflows, and DevSecOps toolchains. Practical experience using LLMs or AI models for code review, software engineering, vulnerability research, security analysis, or developer productivity use cases. Understanding of prompt engineering and optimization, RAG, model evaluation, AI guardrails, human-in-the-loop review, prompt/model versioning, and vendor/open-source model trade-offs. Experience designing or maintaining evaluation harnesses, benchmark suites, regression tests, validation pipelines, and test orchestration workflows. Strong understanding of concepts: OWASP, CWE, CVSS, NIST SSDF, AI security risks, regulated source-code handling, auditability, and vendor/model governance. What Could Set You Apart: Master's degree or relevant certifications such as CISSP, CSSLP, OSWE, GWAPT, CCSP, cloud security, Kubernetes security, or AI governance certifications. Experience delivering AI-assisted AppSec capabilities in a Fortune 500 or highly regulated financial services environment. Hands-on experience with enterprise AI platforms, approved vendor models, open-source models, secure hosting, RAG, and AI governance controls. Experience building secure code review automation, custom static analysis rules, vulnerability detection pipelines, benchmark datasets, or AI-based developer tooling. Demonstrated success reducing AppSec risk through improved detection accuracy, lower false positives, faster remediation, and stronger developer enablement. Candidates that live within a commutable distance from our Tempe, AZ and St. Louis, MO home office locations are expected to work in the office four days per week effective June 1, 2026. Before June 1, 2026, candidates that live within a commutable distance from our Tempe, AZ and St. Louis, MO home office locations are expected to work in the office three days per week, with preference for Tuesday through Thursday. At Edward Jones, we are building a place where everyone feels like they belong. We're proud of our associates' contributions to the firm and the recognitions we have received. Check out our U.S. awards and accolades: Insights & Information Blog Postings about Edward Jones Check out our Canadian awards and accolades: Insights & Information Blog Postings about Edward Jones Edward Jones does not discriminate on the basis of race, color, gender, religion, national origin, age, disability, sexual orientation, pregnancy, veteran status, genetic information or any other basis prohibited by applicable law. Edward Jones' compensation and benefits package includes medical and prescription drug, dental, vision, voluntary benefits (such as accident, hospital indemnity, and critical illness), short- and long-term disability, basic life, and basic AD&D coverage. Short- and long-term disability, basic life, and basic AD&D coverage are provided at no cost to associates. Edward Jones offers a 401k retirement plan, and tax-advantaged accounts: health savings account, and flexible spending account. Edward Jones observes ten paid holidays and provides 15 days of vacation for new associates beginning on January 1 of each year, as well as sick time, personal days, and a paid day for volunteerism. Associates may be eligible for bonuses and profit sharing. All associates are eligible for the firm's Employee Assistance Program. For more information on the Benefits available to Edward Jones associates, please visit our benefits page .
09/26/2026
Full time
This job posting is anticipated to remain open for 30 days, from 16-Sep-2026. The posting may close early due to the volume of applicants. Join a financial services firm where your contributions are valued. Edward Jones is a Fortune 500 company where people come first. With over 9 million clients and 20,000 financial advisors across the U.S. and Canada, we're proud to be privately-owned, placing the focus on our clients rather than shareholder returns. Behind everything we do is our purpose: We partner for positive impact to improve the lives of our clients and colleagues, and together, better our communities and society. We are an innovative, flexible, and inclusive organization that attracts, develops, and inspires performance excellence and a sense of belonging. People are at the center of our partnership. Edward Jones associates are seen, heard, respected, and supported. This is what we believe makes us the best place to start or build your career. View our Purpose, Inclusion and Citizenship Report . Fortune 500, published June 2024, data as of December 2023. Compensation provided for using, not obtaining, the rating. Team Overview: The Application Security Architect, Agentic Secure Code Architect is a hands-on architecture-focused IC responsible for designing, integrating, maintaining, and improving a CI/CD-integrated AI evaluation harness used to assess application and infrastructure source code for security vulnerabilities and insecure-design practices. This role combines AppSec, DevSecOps, AI engineering, secure SDLC governance, and financial-services compliance, with strong emphasis on source-code protection, enterprise controls governance, repeatability, auditability, measurable risk reduction, and developer trust. What You'll Do: Architect the CI/CD-integrated AI secure-code evaluation harness as a hands-on IC for source code repositories and Secure SDLC lifecycles. Integrate evaluation workflows with pipeline tooling and AppSec reporting platforms. Design AI-assisted secure code review methods that complement SAST, SCA, DAST, secrets scanning, IaC scanning, threat modeling, security testing, and manual assessments. Maintain benchmarks, golden test cases, prompt/model versions, retrieval configurations, scoring criteria, and regression tests for AI-generated findings. Govern approved vendor and frontier AI models, including selection, routing, fallback patterns, accuracy, explainability, cost, and data-protection trade-offs. Define safeguards for proprietary production code, including access controls, approved model endpoints, minimization, retention limits, secure logging, and evidence handling. Route validated findings into developer workflows with actionable remediation guidance and feedback loops to reduce false positives and improve adoption. Define metrics and control evidence aligned to internal governance processes, financial services industries authorities, and cyber security frameworks (NIST SSDF, NIST CSF 2.0, NYDFS, FINRA, SOX ITGC, FFIEC, GLBA). What Experience You'll Need: Bachelor's degree in Computer Science, Cybersecurity, Software Engineering, Information Technology, Engineering, or related field. 10+ years of experience in application security, secure software engineering, DevSecOps, security architecture, or related cybersecurity roles. Deep expertise in secure code review, vulnerability detection, threat modeling, exploitability analysis, and secure SDLC practices. Experience with performing vulnerability and penetration test readouts/walkthroughs with stakeholders. Hands-on experience with SAST, SCA, DAST, secrets scanning, API security testing, container security, infrastructure-as-code scanning, and developer workflow integrations. Experience integrating security capabilities into SDLC pipeline tooling: Jenkins, GitHub Actions, GitHub Enterprise, Atlassian, developer portals, source-control workflows, and DevSecOps toolchains. Practical experience using LLMs or AI models for code review, software engineering, vulnerability research, security analysis, or developer productivity use cases. Understanding of prompt engineering and optimization, RAG, model evaluation, AI guardrails, human-in-the-loop review, prompt/model versioning, and vendor/open-source model trade-offs. Experience designing or maintaining evaluation harnesses, benchmark suites, regression tests, validation pipelines, and test orchestration workflows. Strong understanding of concepts: OWASP, CWE, CVSS, NIST SSDF, AI security risks, regulated source-code handling, auditability, and vendor/model governance. What Could Set You Apart: Master's degree or relevant certifications such as CISSP, CSSLP, OSWE, GWAPT, CCSP, cloud security, Kubernetes security, or AI governance certifications. Experience delivering AI-assisted AppSec capabilities in a Fortune 500 or highly regulated financial services environment. Hands-on experience with enterprise AI platforms, approved vendor models, open-source models, secure hosting, RAG, and AI governance controls. Experience building secure code review automation, custom static analysis rules, vulnerability detection pipelines, benchmark datasets, or AI-based developer tooling. Demonstrated success reducing AppSec risk through improved detection accuracy, lower false positives, faster remediation, and stronger developer enablement. Candidates that live within a commutable distance from our Tempe, AZ and St. Louis, MO home office locations are expected to work in the office four days per week effective June 1, 2026. Before June 1, 2026, candidates that live within a commutable distance from our Tempe, AZ and St. Louis, MO home office locations are expected to work in the office three days per week, with preference for Tuesday through Thursday. At Edward Jones, we are building a place where everyone feels like they belong. We're proud of our associates' contributions to the firm and the recognitions we have received. Check out our U.S. awards and accolades: Insights & Information Blog Postings about Edward Jones Check out our Canadian awards and accolades: Insights & Information Blog Postings about Edward Jones Edward Jones does not discriminate on the basis of race, color, gender, religion, national origin, age, disability, sexual orientation, pregnancy, veteran status, genetic information or any other basis prohibited by applicable law. Edward Jones' compensation and benefits package includes medical and prescription drug, dental, vision, voluntary benefits (such as accident, hospital indemnity, and critical illness), short- and long-term disability, basic life, and basic AD&D coverage. Short- and long-term disability, basic life, and basic AD&D coverage are provided at no cost to associates. Edward Jones offers a 401k retirement plan, and tax-advantaged accounts: health savings account, and flexible spending account. Edward Jones observes ten paid holidays and provides 15 days of vacation for new associates beginning on January 1 of each year, as well as sick time, personal days, and a paid day for volunteerism. Associates may be eligible for bonuses and profit sharing. All associates are eligible for the firm's Employee Assistance Program. For more information on the Benefits available to Edward Jones associates, please visit our benefits page .
Job description: We are seeking an experienced and detail-oriented IT Manager - End User Enablement / Solutions Specialist - to oversee and optimize our organization's end user capabilities for the Hudson Tunnel Project (HTP). This is a once in a lifetime opportunity to contribute to this landmark project that is poised to deliver transformative impacts across economic, transportation, and environmental sustainability. This role is ideal for a seasoned IT professional with a strong background in user adoption, training and IT solutions, who is eager to lead, innovate, and ensure the reliability, security, and scalability of our systems. As an IT Manager - End User Enablement / Solutions Specialist, you will be focused on improving end-user productivity and adoption beyond break/fix support. Designs and implements solutions such as templates, automations, and collaboration patterns in Microsoft 365, SharePoint, PMIS, and related platforms. Runs enablement sessions, office hours, and targeted training for high-impact groups including project controls, field engineers, and CEC staff. What You'll Do: Drive enduser enablement programs, including training, onboarding sessions, and targeted adoption initiatives for key user groups. Design and implement productivity solutions such as templates, automations, workflows, and collaboration patterns across Microsoft 365, SharePoint, PMIS, and related platforms. Develop and maintain userfocused documentation, guides, knowledge articles, and bestpractice playbooks to support scalable adoption. Partner with crossfunctional teams to understand business needs and translate them into intuitive, usercentered technology solutions. Monitor system usage, adoption trends, and user feedback, identifying opportunities to improve usability, efficiency, and digital literacy. Ensure reliability, security, and compliance of enduser solutions while supporting continuous improvement across the IT environment. Qualifications: What You Bring Bachelor's degree in Information Technology, Information Systems, Computer Science, Business Technology, or a related field. 510+ years of experience in IT user enablement, digital adoption, or advanced IT solutions delivery. Hands-on experience with Microsoft 365, SharePoint, collaboration tools, workflow automation, and enterprise productivity platforms. Proven ability to design and deliver training, enablement programs, and user-centered technology solutions. Strong communication and facilitation skills, with the ability to engage technical and non-technical audiences. Experience working in complex, cross-functional environments, ideally within infrastructure, engineering, construction, or other large project settings. Attributes We Value Initiative: You take ownership and proactively drive progress. Growth Mindset: You embrace learning and continuous improvement. Ownership: You deliver high-quality outcomes from start to finish. Collaboration: You work effectively across teams and influence without direct authority. Why is This a Great Opportunity: You'll be joining a mission-driven organization at a pivotal moment. This role offers the chance to shape how thousands of users engage with modern technology while contributing to one of the most significant infrastructure projects in the region. You'll work with cutting-edge cloud platforms, collaborate with talented professionals, and help build an environment where people feel confident, capable, and empowered by the tools they use every day. If you're passionate about elevating user experience and driving meaningful impact, we'd be excited to welcome you to the team. Salary Type : Annual Salary Salary Min : $ 120000 Salary Max : $ 160000 Currency Type : USD
09/26/2026
Full time
Job description: We are seeking an experienced and detail-oriented IT Manager - End User Enablement / Solutions Specialist - to oversee and optimize our organization's end user capabilities for the Hudson Tunnel Project (HTP). This is a once in a lifetime opportunity to contribute to this landmark project that is poised to deliver transformative impacts across economic, transportation, and environmental sustainability. This role is ideal for a seasoned IT professional with a strong background in user adoption, training and IT solutions, who is eager to lead, innovate, and ensure the reliability, security, and scalability of our systems. As an IT Manager - End User Enablement / Solutions Specialist, you will be focused on improving end-user productivity and adoption beyond break/fix support. Designs and implements solutions such as templates, automations, and collaboration patterns in Microsoft 365, SharePoint, PMIS, and related platforms. Runs enablement sessions, office hours, and targeted training for high-impact groups including project controls, field engineers, and CEC staff. What You'll Do: Drive enduser enablement programs, including training, onboarding sessions, and targeted adoption initiatives for key user groups. Design and implement productivity solutions such as templates, automations, workflows, and collaboration patterns across Microsoft 365, SharePoint, PMIS, and related platforms. Develop and maintain userfocused documentation, guides, knowledge articles, and bestpractice playbooks to support scalable adoption. Partner with crossfunctional teams to understand business needs and translate them into intuitive, usercentered technology solutions. Monitor system usage, adoption trends, and user feedback, identifying opportunities to improve usability, efficiency, and digital literacy. Ensure reliability, security, and compliance of enduser solutions while supporting continuous improvement across the IT environment. Qualifications: What You Bring Bachelor's degree in Information Technology, Information Systems, Computer Science, Business Technology, or a related field. 510+ years of experience in IT user enablement, digital adoption, or advanced IT solutions delivery. Hands-on experience with Microsoft 365, SharePoint, collaboration tools, workflow automation, and enterprise productivity platforms. Proven ability to design and deliver training, enablement programs, and user-centered technology solutions. Strong communication and facilitation skills, with the ability to engage technical and non-technical audiences. Experience working in complex, cross-functional environments, ideally within infrastructure, engineering, construction, or other large project settings. Attributes We Value Initiative: You take ownership and proactively drive progress. Growth Mindset: You embrace learning and continuous improvement. Ownership: You deliver high-quality outcomes from start to finish. Collaboration: You work effectively across teams and influence without direct authority. Why is This a Great Opportunity: You'll be joining a mission-driven organization at a pivotal moment. This role offers the chance to shape how thousands of users engage with modern technology while contributing to one of the most significant infrastructure projects in the region. You'll work with cutting-edge cloud platforms, collaborate with talented professionals, and help build an environment where people feel confident, capable, and empowered by the tools they use every day. If you're passionate about elevating user experience and driving meaningful impact, we'd be excited to welcome you to the team. Salary Type : Annual Salary Salary Min : $ 120000 Salary Max : $ 160000 Currency Type : USD
Cobalt Benefits Group LLC
Manchester, New Hampshire
Description: Cobalt Benefits Group is seeking an Information Security Analyst to help safeguard information assets and technology services across cloud and on-premises environments. The analyst will monitor security controls, investigate alerts, coordinate remediation, and improve the organization's ability to prevent, detect, and respond to cybersecurity risk. The successful candidate will bring practical experience across multiple security domains rather than expertise in a single vendor platform. The role works closely with IT Operations, infrastructure, and application teams in a regulated environment. Security Operations & Incident Response Monitor managed detection and response, endpoint, identity, email, network, cloud, and security analytics platforms for suspicious activity. Triage and investigate alerts; document findings; coordinate containment, remediation, recovery, and post-incident follow-up. Analyze event, identity, endpoint, cloud, application, and network logs to distinguish security incidents from expected activity and false positives. Maintain incident response plans, investigation procedures, escalation paths and case documentation. Cloud, Identity & Secure Access Assess and improve security across public cloud subscriptions, storage, workloads, applications, and hybrid connectivity. Administer identity and access controls including multifactor authentication, conditional access, role-based access, privileged access, service identities, access reviews, and joiner-mover-leaver processes. Support Zero Trust and secure access services for private applications. Partner with administrators and engineers to design secure access for cloud data platforms, application hosting, and future AI-enabled services. Data Protection, Human Risk & Insider Risk Operate data security posture management capabilities to discover sensitive data, excessive access, shadow data, orphaned files, and insecure sharing. Administer data loss prevention controls across email, endpoints, collaboration platforms, cloud services, applications, and file repositories. Support data discovery, classification, information protection, retention, encryption, and remediation workflows for regulated and confidential information. Administer security awareness training, phishing simulations, targeted education, completion tracking, and human-risk reporting. Endpoint, Network & Application Security Support endpoint detection and response, device security, mobile device management, application control, browser protection, and workstation security baselines. Coordinate vulnerability and exposure management across endpoints, servers, network devices, databases, applications, and cloud workloads and prioritize remediation through patching. Assess application and infrastructure changes for secure configuration, logging, access, data protection, and resilience requirements. Monitor security systems, including firewalls, intrusion detection systems, to detect and respond to security incidents in a timely manner. Collaborate on operating system, application, firmware, and security patching; validate remediation and document accepted exceptions. Resilience, Governance & Continuous Improvement Support backup, recovery, immutable storage, business continuity, and disaster recovery security requirements. Maintain policies, standards, procedures, diagrams, and inventories. Contribute to automation and repeatable analysis using scripting, query languages, and workflow integrations. Evaluate emerging security requirements for cloud, software-as-a-service, and AI Agents. Partner with business and technology stakeholders to establish AI governance, security controls, and risk management practices that enable the responsible use of generative AI, AI agents, automation, and machine-to-machine services. Contribute to the organization's AI Risk Management Framework (AI RMF) program by supporting AI inventory management, risk assessments, control validations, policy development, monitoring activities, and ongoing governance reviews. Requirements: Job Requirements Bachelor's degree in Cybersecurity, Computer Science, Information Technology, or a related field, or equivalent relevant experience. Three to five years of experience in security operations, cloud security, infrastructure security, or a comparable role. Hands-on experience investigating alerts and working across endpoint, identity, email, network, cloud, and data security controls. Experience with vulnerability assessment, remediation tracking, patch management, incident response, and security control validation. Understanding of data discovery, classification, data loss prevention, sensitive-information handling, and insider-risk concepts. Ability to explain technical findings, business impact, and recommended actions to both technical and non-technical audiences. Strong judgment, discretion, documentation, analytical thinking, and the ability to manage multiple priorities. Preferred Qualifications Experience in a regulated environment and familiarity with security or compliance frameworks such as NIST, MITRE ATT&CK, SOC 2, or HITRUST. Experience securing hybrid environments with cloud infrastructure, productivity platforms, on-premises systems, virtualized infrastructure, and software-as-a-service applications. Working knowledge of cloud security, identity governance, and hybrid infrastructure. Familiarity with security information and event management, extended detection and response, cloud security posture management, web application protection, and security orchestration. Experience with scripting or security analytics using PowerShell, query languages, or comparable automation methods. Relevant industry or cloud security certifications Equal Opportunity Employer, including disability/protected veterans Compensation details: 00 Yearly Salary PIef2d3b3d6-
09/26/2026
Full time
Description: Cobalt Benefits Group is seeking an Information Security Analyst to help safeguard information assets and technology services across cloud and on-premises environments. The analyst will monitor security controls, investigate alerts, coordinate remediation, and improve the organization's ability to prevent, detect, and respond to cybersecurity risk. The successful candidate will bring practical experience across multiple security domains rather than expertise in a single vendor platform. The role works closely with IT Operations, infrastructure, and application teams in a regulated environment. Security Operations & Incident Response Monitor managed detection and response, endpoint, identity, email, network, cloud, and security analytics platforms for suspicious activity. Triage and investigate alerts; document findings; coordinate containment, remediation, recovery, and post-incident follow-up. Analyze event, identity, endpoint, cloud, application, and network logs to distinguish security incidents from expected activity and false positives. Maintain incident response plans, investigation procedures, escalation paths and case documentation. Cloud, Identity & Secure Access Assess and improve security across public cloud subscriptions, storage, workloads, applications, and hybrid connectivity. Administer identity and access controls including multifactor authentication, conditional access, role-based access, privileged access, service identities, access reviews, and joiner-mover-leaver processes. Support Zero Trust and secure access services for private applications. Partner with administrators and engineers to design secure access for cloud data platforms, application hosting, and future AI-enabled services. Data Protection, Human Risk & Insider Risk Operate data security posture management capabilities to discover sensitive data, excessive access, shadow data, orphaned files, and insecure sharing. Administer data loss prevention controls across email, endpoints, collaboration platforms, cloud services, applications, and file repositories. Support data discovery, classification, information protection, retention, encryption, and remediation workflows for regulated and confidential information. Administer security awareness training, phishing simulations, targeted education, completion tracking, and human-risk reporting. Endpoint, Network & Application Security Support endpoint detection and response, device security, mobile device management, application control, browser protection, and workstation security baselines. Coordinate vulnerability and exposure management across endpoints, servers, network devices, databases, applications, and cloud workloads and prioritize remediation through patching. Assess application and infrastructure changes for secure configuration, logging, access, data protection, and resilience requirements. Monitor security systems, including firewalls, intrusion detection systems, to detect and respond to security incidents in a timely manner. Collaborate on operating system, application, firmware, and security patching; validate remediation and document accepted exceptions. Resilience, Governance & Continuous Improvement Support backup, recovery, immutable storage, business continuity, and disaster recovery security requirements. Maintain policies, standards, procedures, diagrams, and inventories. Contribute to automation and repeatable analysis using scripting, query languages, and workflow integrations. Evaluate emerging security requirements for cloud, software-as-a-service, and AI Agents. Partner with business and technology stakeholders to establish AI governance, security controls, and risk management practices that enable the responsible use of generative AI, AI agents, automation, and machine-to-machine services. Contribute to the organization's AI Risk Management Framework (AI RMF) program by supporting AI inventory management, risk assessments, control validations, policy development, monitoring activities, and ongoing governance reviews. Requirements: Job Requirements Bachelor's degree in Cybersecurity, Computer Science, Information Technology, or a related field, or equivalent relevant experience. Three to five years of experience in security operations, cloud security, infrastructure security, or a comparable role. Hands-on experience investigating alerts and working across endpoint, identity, email, network, cloud, and data security controls. Experience with vulnerability assessment, remediation tracking, patch management, incident response, and security control validation. Understanding of data discovery, classification, data loss prevention, sensitive-information handling, and insider-risk concepts. Ability to explain technical findings, business impact, and recommended actions to both technical and non-technical audiences. Strong judgment, discretion, documentation, analytical thinking, and the ability to manage multiple priorities. Preferred Qualifications Experience in a regulated environment and familiarity with security or compliance frameworks such as NIST, MITRE ATT&CK, SOC 2, or HITRUST. Experience securing hybrid environments with cloud infrastructure, productivity platforms, on-premises systems, virtualized infrastructure, and software-as-a-service applications. Working knowledge of cloud security, identity governance, and hybrid infrastructure. Familiarity with security information and event management, extended detection and response, cloud security posture management, web application protection, and security orchestration. Experience with scripting or security analytics using PowerShell, query languages, or comparable automation methods. Relevant industry or cloud security certifications Equal Opportunity Employer, including disability/protected veterans Compensation details: 00 Yearly Salary PIef2d3b3d6-
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Site Reliability Engineer Who is Mastercard? At Mastercard technology, we work to connect and power an inclusive, digital economy that benefits everyone, everywhere, by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships, and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team - one that makes better decisions, drives innovation, and delivers better business results. Technology at Mastercard What we create today will define tomorrow. Revolutionary technologies that reshape the digital economy to be more connected and inclusive than ever before. Safer, faster, more sustainable. And we need the best people to do it. Technologists who are energized by the challenges of a truly global network. With the talent and vision to create the critical systems and products that power global commerce and connect people everywhere to the vital goods and services they need every day. Working at Mastercard means being part of a unique culture. Inclusive and diverse, a rich collaboration of ideas and perspectives. A place that celebrates your strengths, values your experiences, and offers you the flexibility to shape a career across disciplines and continents. And the opportunity to work alongside experts and leaders at every level of the business, improving what exists, and inventing what's next. About the Role The Business Operations team is seeking a highly motivated and experienced Senior Site Reliability Engineer (SRE) to join our team. You will play a critical role in ensuring the reliability, scalability, and performance of our applications, supporting essential services that power Mastercard's global operations. As a thought leader in your field, you will bring technical expertise, a passion for automation, and the ability to mentor. The role of the Business Operations Site Reliability Engineer is to be the production readiness steward for Mastercard products. As Business Operations SRE, we are responsible for ensuring that our platform is stable and healthy. We break down barriers to running our products by fostering developer run ownership and empowering developers to build resilient products. We support our developers during the application build phase in software run principles that include operational design, automation, capacity planning, and monitoring that leads to fault-tolerant, scalable products. We see the big picture and help create and enforce operations standards while facilitating an agile and learning culture. We support daily operations with a hyper focus on triage, root cause by understanding the business impact of our products and subsequently performing blameless post-mortems. The goal of every Business Operations team is to engage early in the development lifecycle to be more proactive and upfront in the development process, and to proactively manage production and change activities to maximize customer experience and increase the overall value of supported applications. Business Operations teams also focus on risk management by tying all our activities together with an overarching responsibility for compliance and risk mitigation across all our environments. Ultimately, the role of Business Operations is to align Product and Customer Focused priorities with Operational needs by providing continuous feedback throughout the lifecycle. As part of the Business Operations team, you will: • Independently execute key elements of projects/processes within the Site Reliability Engineering area by applying in-depth knowledge of their discipline and area best practices to effectively resolve problems and roadblocks as they occur. • Assist in evaluating operational requirements and developing technical solutions within existing frameworks. • Support automation and scripting efforts to improve operational workflows and incident response processes. • Troubleshoot and resolve routine and some complex system issues, escalating when necessary to maintain system health. • Contribute to documentation, knowledge sharing, and best practices to enhance team operational procedures. • Collaborate with development teams and stakeholders to ensure reliability solutions align with technical and business needs. • Participate in reviews and quality assurance activities to uphold system stability standards. • May contribute to solution development for new products/services and/or manage smaller project/initiatives as an experienced individual contributor with specialized knowledge within the Site Reliability Engineering area. Role qualifications: The ideal candidate will apply the following skills independently in routine and moderately complex situations, requiring occasional guidance typically only in unfamiliar or highly complex scenarios. They will demonstrate growing consistency and reliability in applying the skills. • Observability - Ability to use scripting and tooling to implement observability solutions, enabling the collection, analysis, and visualization of metrics, logs, and traces to support incident detection, diagnosis, and continuous service improvement. • Programming and Scripting - Ability to write and maintain code and scripts to automate tasks, build operational tools, and support monitoring, deployment, and incident response using languages such as Python, Go, Bash, or similar. • Systems and Network Administration - Ability to configure, operate, and troubleshoot Linux/Unix systems and network components, applying knowledge of networking concepts, protocols, security, and system reliability. • Cloud Computing and Infrastructure - Ability to design, deploy, and manage applications and infrastructure on cloud platforms (e.g., AWS, Azure, GCP), ensuring scalability, security, availability, and operational efficiency. • Reliability and Scalability - Ability to design and operate systems for high availability, fault tolerance, and disaster recovery, while ensuring systems can scale to meet current and future demand • DevOps Practices - Ability to apply DevOps principles and practices, including CI/CD pipelines, containerization, and orchestration, to enable faster, more reliable software delivery and operations. • Troubleshooting - Capability to systematically identify, diagnose, and resolve technical issues across systems, applications, and networks, using analytical methods and tools to restore functionality, minimize disruption, and ensure stable operations. • Capacity Planning and Performance Optimization - Ability to monitor resource utilization, forecast future capacity needs, and optimize system performance to support growth, scalability, and efficient infrastructure usage. • IT Service Management - Ability to apply IT service management principles to incident, problem, and change management, ensuring reliable service delivery, effective incident response, and continuous service improvement aligned to business needs. • Proactive Monitoring and Improvement (SRE Applications) - The ability to use application reliability signals to anticipate issues, identify risks, and drive preventative improvements that enhance application performance and availability. Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard's security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines. In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role . click apply for full job details
09/26/2026
Full time
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Site Reliability Engineer Who is Mastercard? At Mastercard technology, we work to connect and power an inclusive, digital economy that benefits everyone, everywhere, by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships, and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team - one that makes better decisions, drives innovation, and delivers better business results. Technology at Mastercard What we create today will define tomorrow. Revolutionary technologies that reshape the digital economy to be more connected and inclusive than ever before. Safer, faster, more sustainable. And we need the best people to do it. Technologists who are energized by the challenges of a truly global network. With the talent and vision to create the critical systems and products that power global commerce and connect people everywhere to the vital goods and services they need every day. Working at Mastercard means being part of a unique culture. Inclusive and diverse, a rich collaboration of ideas and perspectives. A place that celebrates your strengths, values your experiences, and offers you the flexibility to shape a career across disciplines and continents. And the opportunity to work alongside experts and leaders at every level of the business, improving what exists, and inventing what's next. About the Role The Business Operations team is seeking a highly motivated and experienced Senior Site Reliability Engineer (SRE) to join our team. You will play a critical role in ensuring the reliability, scalability, and performance of our applications, supporting essential services that power Mastercard's global operations. As a thought leader in your field, you will bring technical expertise, a passion for automation, and the ability to mentor. The role of the Business Operations Site Reliability Engineer is to be the production readiness steward for Mastercard products. As Business Operations SRE, we are responsible for ensuring that our platform is stable and healthy. We break down barriers to running our products by fostering developer run ownership and empowering developers to build resilient products. We support our developers during the application build phase in software run principles that include operational design, automation, capacity planning, and monitoring that leads to fault-tolerant, scalable products. We see the big picture and help create and enforce operations standards while facilitating an agile and learning culture. We support daily operations with a hyper focus on triage, root cause by understanding the business impact of our products and subsequently performing blameless post-mortems. The goal of every Business Operations team is to engage early in the development lifecycle to be more proactive and upfront in the development process, and to proactively manage production and change activities to maximize customer experience and increase the overall value of supported applications. Business Operations teams also focus on risk management by tying all our activities together with an overarching responsibility for compliance and risk mitigation across all our environments. Ultimately, the role of Business Operations is to align Product and Customer Focused priorities with Operational needs by providing continuous feedback throughout the lifecycle. As part of the Business Operations team, you will: • Independently execute key elements of projects/processes within the Site Reliability Engineering area by applying in-depth knowledge of their discipline and area best practices to effectively resolve problems and roadblocks as they occur. • Assist in evaluating operational requirements and developing technical solutions within existing frameworks. • Support automation and scripting efforts to improve operational workflows and incident response processes. • Troubleshoot and resolve routine and some complex system issues, escalating when necessary to maintain system health. • Contribute to documentation, knowledge sharing, and best practices to enhance team operational procedures. • Collaborate with development teams and stakeholders to ensure reliability solutions align with technical and business needs. • Participate in reviews and quality assurance activities to uphold system stability standards. • May contribute to solution development for new products/services and/or manage smaller project/initiatives as an experienced individual contributor with specialized knowledge within the Site Reliability Engineering area. Role qualifications: The ideal candidate will apply the following skills independently in routine and moderately complex situations, requiring occasional guidance typically only in unfamiliar or highly complex scenarios. They will demonstrate growing consistency and reliability in applying the skills. • Observability - Ability to use scripting and tooling to implement observability solutions, enabling the collection, analysis, and visualization of metrics, logs, and traces to support incident detection, diagnosis, and continuous service improvement. • Programming and Scripting - Ability to write and maintain code and scripts to automate tasks, build operational tools, and support monitoring, deployment, and incident response using languages such as Python, Go, Bash, or similar. • Systems and Network Administration - Ability to configure, operate, and troubleshoot Linux/Unix systems and network components, applying knowledge of networking concepts, protocols, security, and system reliability. • Cloud Computing and Infrastructure - Ability to design, deploy, and manage applications and infrastructure on cloud platforms (e.g., AWS, Azure, GCP), ensuring scalability, security, availability, and operational efficiency. • Reliability and Scalability - Ability to design and operate systems for high availability, fault tolerance, and disaster recovery, while ensuring systems can scale to meet current and future demand • DevOps Practices - Ability to apply DevOps principles and practices, including CI/CD pipelines, containerization, and orchestration, to enable faster, more reliable software delivery and operations. • Troubleshooting - Capability to systematically identify, diagnose, and resolve technical issues across systems, applications, and networks, using analytical methods and tools to restore functionality, minimize disruption, and ensure stable operations. • Capacity Planning and Performance Optimization - Ability to monitor resource utilization, forecast future capacity needs, and optimize system performance to support growth, scalability, and efficient infrastructure usage. • IT Service Management - Ability to apply IT service management principles to incident, problem, and change management, ensuring reliable service delivery, effective incident response, and continuous service improvement aligned to business needs. • Proactive Monitoring and Improvement (SRE Applications) - The ability to use application reliability signals to anticipate issues, identify risks, and drive preventative improvements that enhance application performance and availability. Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard's security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines. In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role . click apply for full job details
This position requires that the candidate selected be a US Citizen and must currently possess and maintain an active TS/SCI security clearance with polygraph. This is a hands-on technical role that requires an advanced software/systems engineering background. Coding/automation and design/architecture skills are required! The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at AWS. ProServe is a global organization of experts that help customers realize their desired business outcomes when utilizing AWS. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. As a Delivery Consultant, you will work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success throughout their cloud journey, providing technical expertise and best practices across the project lifecycle. You'll collaborate closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As an experienced technology professional, you will be responsible for: • Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs • Providing technical guidance and troubleshooting support throughout project delivery • Collaborating with stakeholders to gather requirements and propose effective migration strategies • Acting as a trusted advisor to customers on industry trends and emerging technologies • Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts About the team About AWS AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. BASIC QUALIFICATIONS- 7+ years of technical specialist, design and architecture experience - 5+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience - 7+ years of consulting, design and implementation of serverless distributed solutions experience - 5+ years of software development with object oriented language experience - Current, active US Government Security Clearance of TS/SCI with Polygraph PREFERRED QUALIFICATIONS- degree in advanced technology, or AWS Professional level certification - Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies - Experience in performance optimization and cost management for cloud environments - Experience communicating technical concepts to diverse audiences in pre-sales environments Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, MD, Jessup - 153 800.00 USD annually
09/26/2026
Full time
This position requires that the candidate selected be a US Citizen and must currently possess and maintain an active TS/SCI security clearance with polygraph. This is a hands-on technical role that requires an advanced software/systems engineering background. Coding/automation and design/architecture skills are required! The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at AWS. ProServe is a global organization of experts that help customers realize their desired business outcomes when utilizing AWS. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. As a Delivery Consultant, you will work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success throughout their cloud journey, providing technical expertise and best practices across the project lifecycle. You'll collaborate closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As an experienced technology professional, you will be responsible for: • Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs • Providing technical guidance and troubleshooting support throughout project delivery • Collaborating with stakeholders to gather requirements and propose effective migration strategies • Acting as a trusted advisor to customers on industry trends and emerging technologies • Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts About the team About AWS AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. BASIC QUALIFICATIONS- 7+ years of technical specialist, design and architecture experience - 5+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience - 7+ years of consulting, design and implementation of serverless distributed solutions experience - 5+ years of software development with object oriented language experience - Current, active US Government Security Clearance of TS/SCI with Polygraph PREFERRED QUALIFICATIONS- degree in advanced technology, or AWS Professional level certification - Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies - Experience in performance optimization and cost management for cloud environments - Experience communicating technical concepts to diverse audiences in pre-sales environments Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, MD, Jessup - 153 800.00 USD annually
Macroeconomic Modeling Specialist (EViews) $35 - $100/hour pay Required Skills EViews Macroeconomics About micro1 micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Job Title: Macroeconomic Modeling Specialist (EViews) Job Type: Contract Location: Remote Job Summary Join our customer's team as a Macroeconomic Modeling Specialist (EViews) and drive the creation, validation, and automation of advanced macroeconomic models. Leverage your expertise in EViews to develop robust time-series and forecasting solutions, contributing essential economic insights that inform key decisions at the organizational level. This remote opportunity is ideal for a passionate modeler who values clarity in communication and excellence in quantitative analysis. Key Responsibilities Design and implement sophisticated time-series models such as VAR, VECM, ARIMA, and cointegration frameworks using EViews. Conduct rigorous model diagnostics and validation to ensure robustness and reliability of forecasts. Automate forecasting workflows for efficiency and scalability within the modeling process. Translate complex statistical outputs into clear, actionable macroeconomic insights for both technical and non-technical stakeholders. Document modeling approaches and results with precise, concise written reports. Collaborate with the customer's team to integrate modeling results into broader economic narratives and policy recommendations. Stay current with macroeconomic modeling best practices and EViews software updates. Required Skills and Qualifications Extensive hands-on experience with EViews, including scripting and automation functionalities. Proven expertise in building, estimating, and validating time-series models-especially VAR, VECM, ARIMA, and cointegration models. Deep knowledge of model diagnostics, stability tests, and forecasting accuracy measures. Strong quantitative background with the ability to explain complex modeling processes in clear written and verbal communication. Demonstrated success in automating modeling and forecasting workflows. Ability to extract economic meaning from statistical outputs and present findings insightfully. Self-driven, detail-oriented, and adept at remote collaboration. Preferred Qualifications Advanced degree in Economics, Econometrics, Applied Statistics, or related field. Previous experience supporting central banks, policy institutions, or financial sector clients with macroeconomic modeling. Familiarity with additional econometric software or programming languages (e.g., R, Python, Stata).
09/26/2026
Full time
Macroeconomic Modeling Specialist (EViews) $35 - $100/hour pay Required Skills EViews Macroeconomics About micro1 micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Job Title: Macroeconomic Modeling Specialist (EViews) Job Type: Contract Location: Remote Job Summary Join our customer's team as a Macroeconomic Modeling Specialist (EViews) and drive the creation, validation, and automation of advanced macroeconomic models. Leverage your expertise in EViews to develop robust time-series and forecasting solutions, contributing essential economic insights that inform key decisions at the organizational level. This remote opportunity is ideal for a passionate modeler who values clarity in communication and excellence in quantitative analysis. Key Responsibilities Design and implement sophisticated time-series models such as VAR, VECM, ARIMA, and cointegration frameworks using EViews. Conduct rigorous model diagnostics and validation to ensure robustness and reliability of forecasts. Automate forecasting workflows for efficiency and scalability within the modeling process. Translate complex statistical outputs into clear, actionable macroeconomic insights for both technical and non-technical stakeholders. Document modeling approaches and results with precise, concise written reports. Collaborate with the customer's team to integrate modeling results into broader economic narratives and policy recommendations. Stay current with macroeconomic modeling best practices and EViews software updates. Required Skills and Qualifications Extensive hands-on experience with EViews, including scripting and automation functionalities. Proven expertise in building, estimating, and validating time-series models-especially VAR, VECM, ARIMA, and cointegration models. Deep knowledge of model diagnostics, stability tests, and forecasting accuracy measures. Strong quantitative background with the ability to explain complex modeling processes in clear written and verbal communication. Demonstrated success in automating modeling and forecasting workflows. Ability to extract economic meaning from statistical outputs and present findings insightfully. Self-driven, detail-oriented, and adept at remote collaboration. Preferred Qualifications Advanced degree in Economics, Econometrics, Applied Statistics, or related field. Previous experience supporting central banks, policy institutions, or financial sector clients with macroeconomic modeling. Familiarity with additional econometric software or programming languages (e.g., R, Python, Stata).
Data Scientist Required Skills statistics & Mathematics data handling data collecting data analysis and modeling data visualization data clesning programming About micro1 micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Job Title: Data Scientist Job Type: Contractor Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters. Key Responsibilities: Collect, clean, and preprocess diverse data sets to ensure integrity and readiness for analysis. Develop, validate, and implement statistical models to extract actionable insights from complex data. Conduct exploratory data analysis to identify trends, patterns, and opportunities for business improvement. Present findings and recommendations through compelling data visualizations and reports, tailored for technical and non-technical stakeholders. Collaborate closely with team members to design and execute end-to-end data projects, from ideation to delivery. Continuously improve analytical methodologies and automation processes to enhance data workflows. Communicate effectively in both written and verbal formats, ensuring clarity and impact of data-driven recommendations. Required Skills and Qualifications: Expertise in statistics, mathematics, and data analysis techniques. Proven experience in collecting, handling, and cleaning large, complex data sets. Proficiency in programming languages such as Python, R, or similar for data manipulation and modeling. Strong data modeling skills with experience in building and validating predictive models. Advanced ability to visualize data using tools like Tableau, Power BI, or related libraries. Meticulous attention to detail and commitment to data quality at every stage. Excellent written and verbal communication skills, with an emphasis on clarity and precision. Preferred Qualifications: Experience working in a remote, cross-functional, or customer-focused team environment. Background in developing and deploying machine learning solutions in production settings.
09/26/2026
Full time
Data Scientist Required Skills statistics & Mathematics data handling data collecting data analysis and modeling data visualization data clesning programming About micro1 micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Job Title: Data Scientist Job Type: Contractor Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters. Key Responsibilities: Collect, clean, and preprocess diverse data sets to ensure integrity and readiness for analysis. Develop, validate, and implement statistical models to extract actionable insights from complex data. Conduct exploratory data analysis to identify trends, patterns, and opportunities for business improvement. Present findings and recommendations through compelling data visualizations and reports, tailored for technical and non-technical stakeholders. Collaborate closely with team members to design and execute end-to-end data projects, from ideation to delivery. Continuously improve analytical methodologies and automation processes to enhance data workflows. Communicate effectively in both written and verbal formats, ensuring clarity and impact of data-driven recommendations. Required Skills and Qualifications: Expertise in statistics, mathematics, and data analysis techniques. Proven experience in collecting, handling, and cleaning large, complex data sets. Proficiency in programming languages such as Python, R, or similar for data manipulation and modeling. Strong data modeling skills with experience in building and validating predictive models. Advanced ability to visualize data using tools like Tableau, Power BI, or related libraries. Meticulous attention to detail and commitment to data quality at every stage. Excellent written and verbal communication skills, with an emphasis on clarity and precision. Preferred Qualifications: Experience working in a remote, cross-functional, or customer-focused team environment. Background in developing and deploying machine learning solutions in production settings.
Data Scientist Required Skills statistics & Mathematics data handling data collecting data analysis and modeling data visualization data clesning programming About micro1 micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Job Title: Data Scientist Job Type: Contractor Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters. Key Responsibilities: Collect, clean, and preprocess diverse data sets to ensure integrity and readiness for analysis. Develop, validate, and implement statistical models to extract actionable insights from complex data. Conduct exploratory data analysis to identify trends, patterns, and opportunities for business improvement. Present findings and recommendations through compelling data visualizations and reports, tailored for technical and non-technical stakeholders. Collaborate closely with team members to design and execute end-to-end data projects, from ideation to delivery. Continuously improve analytical methodologies and automation processes to enhance data workflows. Communicate effectively in both written and verbal formats, ensuring clarity and impact of data-driven recommendations. Required Skills and Qualifications: Expertise in statistics, mathematics, and data analysis techniques. Proven experience in collecting, handling, and cleaning large, complex data sets. Proficiency in programming languages such as Python, R, or similar for data manipulation and modeling. Strong data modeling skills with experience in building and validating predictive models. Advanced ability to visualize data using tools like Tableau, Power BI, or related libraries. Meticulous attention to detail and commitment to data quality at every stage. Excellent written and verbal communication skills, with an emphasis on clarity and precision. Preferred Qualifications: Experience working in a remote, cross-functional, or customer-focused team environment. Background in developing and deploying machine learning solutions in production settings.
09/26/2026
Full time
Data Scientist Required Skills statistics & Mathematics data handling data collecting data analysis and modeling data visualization data clesning programming About micro1 micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Job Title: Data Scientist Job Type: Contractor Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters. Key Responsibilities: Collect, clean, and preprocess diverse data sets to ensure integrity and readiness for analysis. Develop, validate, and implement statistical models to extract actionable insights from complex data. Conduct exploratory data analysis to identify trends, patterns, and opportunities for business improvement. Present findings and recommendations through compelling data visualizations and reports, tailored for technical and non-technical stakeholders. Collaborate closely with team members to design and execute end-to-end data projects, from ideation to delivery. Continuously improve analytical methodologies and automation processes to enhance data workflows. Communicate effectively in both written and verbal formats, ensuring clarity and impact of data-driven recommendations. Required Skills and Qualifications: Expertise in statistics, mathematics, and data analysis techniques. Proven experience in collecting, handling, and cleaning large, complex data sets. Proficiency in programming languages such as Python, R, or similar for data manipulation and modeling. Strong data modeling skills with experience in building and validating predictive models. Advanced ability to visualize data using tools like Tableau, Power BI, or related libraries. Meticulous attention to detail and commitment to data quality at every stage. Excellent written and verbal communication skills, with an emphasis on clarity and precision. Preferred Qualifications: Experience working in a remote, cross-functional, or customer-focused team environment. Background in developing and deploying machine learning solutions in production settings.
Macroeconomic Modeling Specialist (EViews) $35 - $100/hour pay Required Skills EViews Macroeconomics About micro1 micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Job Title: Macroeconomic Modeling Specialist (EViews) Job Type: Contract Location: Remote Job Summary Join our customer's team as a Macroeconomic Modeling Specialist (EViews) and drive the creation, validation, and automation of advanced macroeconomic models. Leverage your expertise in EViews to develop robust time-series and forecasting solutions, contributing essential economic insights that inform key decisions at the organizational level. This remote opportunity is ideal for a passionate modeler who values clarity in communication and excellence in quantitative analysis. Key Responsibilities Design and implement sophisticated time-series models such as VAR, VECM, ARIMA, and cointegration frameworks using EViews. Conduct rigorous model diagnostics and validation to ensure robustness and reliability of forecasts. Automate forecasting workflows for efficiency and scalability within the modeling process. Translate complex statistical outputs into clear, actionable macroeconomic insights for both technical and non-technical stakeholders. Document modeling approaches and results with precise, concise written reports. Collaborate with the customer's team to integrate modeling results into broader economic narratives and policy recommendations. Stay current with macroeconomic modeling best practices and EViews software updates. Required Skills and Qualifications Extensive hands-on experience with EViews, including scripting and automation functionalities. Proven expertise in building, estimating, and validating time-series models-especially VAR, VECM, ARIMA, and cointegration models. Deep knowledge of model diagnostics, stability tests, and forecasting accuracy measures. Strong quantitative background with the ability to explain complex modeling processes in clear written and verbal communication. Demonstrated success in automating modeling and forecasting workflows. Ability to extract economic meaning from statistical outputs and present findings insightfully. Self-driven, detail-oriented, and adept at remote collaboration. Preferred Qualifications Advanced degree in Economics, Econometrics, Applied Statistics, or related field. Previous experience supporting central banks, policy institutions, or financial sector clients with macroeconomic modeling. Familiarity with additional econometric software or programming languages (e.g., R, Python, Stata).
09/26/2026
Full time
Macroeconomic Modeling Specialist (EViews) $35 - $100/hour pay Required Skills EViews Macroeconomics About micro1 micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Job Title: Macroeconomic Modeling Specialist (EViews) Job Type: Contract Location: Remote Job Summary Join our customer's team as a Macroeconomic Modeling Specialist (EViews) and drive the creation, validation, and automation of advanced macroeconomic models. Leverage your expertise in EViews to develop robust time-series and forecasting solutions, contributing essential economic insights that inform key decisions at the organizational level. This remote opportunity is ideal for a passionate modeler who values clarity in communication and excellence in quantitative analysis. Key Responsibilities Design and implement sophisticated time-series models such as VAR, VECM, ARIMA, and cointegration frameworks using EViews. Conduct rigorous model diagnostics and validation to ensure robustness and reliability of forecasts. Automate forecasting workflows for efficiency and scalability within the modeling process. Translate complex statistical outputs into clear, actionable macroeconomic insights for both technical and non-technical stakeholders. Document modeling approaches and results with precise, concise written reports. Collaborate with the customer's team to integrate modeling results into broader economic narratives and policy recommendations. Stay current with macroeconomic modeling best practices and EViews software updates. Required Skills and Qualifications Extensive hands-on experience with EViews, including scripting and automation functionalities. Proven expertise in building, estimating, and validating time-series models-especially VAR, VECM, ARIMA, and cointegration models. Deep knowledge of model diagnostics, stability tests, and forecasting accuracy measures. Strong quantitative background with the ability to explain complex modeling processes in clear written and verbal communication. Demonstrated success in automating modeling and forecasting workflows. Ability to extract economic meaning from statistical outputs and present findings insightfully. Self-driven, detail-oriented, and adept at remote collaboration. Preferred Qualifications Advanced degree in Economics, Econometrics, Applied Statistics, or related field. Previous experience supporting central banks, policy institutions, or financial sector clients with macroeconomic modeling. Familiarity with additional econometric software or programming languages (e.g., R, Python, Stata).
Macroeconomic Modeling Specialist (EViews) $35 - $100/hour pay Required Skills EViews Macroeconomics About micro1 micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Job Title: Macroeconomic Modeling Specialist (EViews) Job Type: Contract Location: Remote Job Summary Join our customer's team as a Macroeconomic Modeling Specialist (EViews) and drive the creation, validation, and automation of advanced macroeconomic models. Leverage your expertise in EViews to develop robust time-series and forecasting solutions, contributing essential economic insights that inform key decisions at the organizational level. This remote opportunity is ideal for a passionate modeler who values clarity in communication and excellence in quantitative analysis. Key Responsibilities Design and implement sophisticated time-series models such as VAR, VECM, ARIMA, and cointegration frameworks using EViews. Conduct rigorous model diagnostics and validation to ensure robustness and reliability of forecasts. Automate forecasting workflows for efficiency and scalability within the modeling process. Translate complex statistical outputs into clear, actionable macroeconomic insights for both technical and non-technical stakeholders. Document modeling approaches and results with precise, concise written reports. Collaborate with the customer's team to integrate modeling results into broader economic narratives and policy recommendations. Stay current with macroeconomic modeling best practices and EViews software updates. Required Skills and Qualifications Extensive hands-on experience with EViews, including scripting and automation functionalities. Proven expertise in building, estimating, and validating time-series models-especially VAR, VECM, ARIMA, and cointegration models. Deep knowledge of model diagnostics, stability tests, and forecasting accuracy measures. Strong quantitative background with the ability to explain complex modeling processes in clear written and verbal communication. Demonstrated success in automating modeling and forecasting workflows. Ability to extract economic meaning from statistical outputs and present findings insightfully. Self-driven, detail-oriented, and adept at remote collaboration. Preferred Qualifications Advanced degree in Economics, Econometrics, Applied Statistics, or related field. Previous experience supporting central banks, policy institutions, or financial sector clients with macroeconomic modeling. Familiarity with additional econometric software or programming languages (e.g., R, Python, Stata).
09/26/2026
Full time
Macroeconomic Modeling Specialist (EViews) $35 - $100/hour pay Required Skills EViews Macroeconomics About micro1 micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Job Title: Macroeconomic Modeling Specialist (EViews) Job Type: Contract Location: Remote Job Summary Join our customer's team as a Macroeconomic Modeling Specialist (EViews) and drive the creation, validation, and automation of advanced macroeconomic models. Leverage your expertise in EViews to develop robust time-series and forecasting solutions, contributing essential economic insights that inform key decisions at the organizational level. This remote opportunity is ideal for a passionate modeler who values clarity in communication and excellence in quantitative analysis. Key Responsibilities Design and implement sophisticated time-series models such as VAR, VECM, ARIMA, and cointegration frameworks using EViews. Conduct rigorous model diagnostics and validation to ensure robustness and reliability of forecasts. Automate forecasting workflows for efficiency and scalability within the modeling process. Translate complex statistical outputs into clear, actionable macroeconomic insights for both technical and non-technical stakeholders. Document modeling approaches and results with precise, concise written reports. Collaborate with the customer's team to integrate modeling results into broader economic narratives and policy recommendations. Stay current with macroeconomic modeling best practices and EViews software updates. Required Skills and Qualifications Extensive hands-on experience with EViews, including scripting and automation functionalities. Proven expertise in building, estimating, and validating time-series models-especially VAR, VECM, ARIMA, and cointegration models. Deep knowledge of model diagnostics, stability tests, and forecasting accuracy measures. Strong quantitative background with the ability to explain complex modeling processes in clear written and verbal communication. Demonstrated success in automating modeling and forecasting workflows. Ability to extract economic meaning from statistical outputs and present findings insightfully. Self-driven, detail-oriented, and adept at remote collaboration. Preferred Qualifications Advanced degree in Economics, Econometrics, Applied Statistics, or related field. Previous experience supporting central banks, policy institutions, or financial sector clients with macroeconomic modeling. Familiarity with additional econometric software or programming languages (e.g., R, Python, Stata).
Macroeconomic Modeling Specialist (EViews) $35 - $100/hour pay Required Skills EViews Macroeconomics About micro1 micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Job Title: Macroeconomic Modeling Specialist (EViews) Job Type: Contract Location: Remote Job Summary Join our customer's team as a Macroeconomic Modeling Specialist (EViews) and drive the creation, validation, and automation of advanced macroeconomic models. Leverage your expertise in EViews to develop robust time-series and forecasting solutions, contributing essential economic insights that inform key decisions at the organizational level. This remote opportunity is ideal for a passionate modeler who values clarity in communication and excellence in quantitative analysis. Key Responsibilities Design and implement sophisticated time-series models such as VAR, VECM, ARIMA, and cointegration frameworks using EViews. Conduct rigorous model diagnostics and validation to ensure robustness and reliability of forecasts. Automate forecasting workflows for efficiency and scalability within the modeling process. Translate complex statistical outputs into clear, actionable macroeconomic insights for both technical and non-technical stakeholders. Document modeling approaches and results with precise, concise written reports. Collaborate with the customer's team to integrate modeling results into broader economic narratives and policy recommendations. Stay current with macroeconomic modeling best practices and EViews software updates. Required Skills and Qualifications Extensive hands-on experience with EViews, including scripting and automation functionalities. Proven expertise in building, estimating, and validating time-series models-especially VAR, VECM, ARIMA, and cointegration models. Deep knowledge of model diagnostics, stability tests, and forecasting accuracy measures. Strong quantitative background with the ability to explain complex modeling processes in clear written and verbal communication. Demonstrated success in automating modeling and forecasting workflows. Ability to extract economic meaning from statistical outputs and present findings insightfully. Self-driven, detail-oriented, and adept at remote collaboration. Preferred Qualifications Advanced degree in Economics, Econometrics, Applied Statistics, or related field. Previous experience supporting central banks, policy institutions, or financial sector clients with macroeconomic modeling. Familiarity with additional econometric software or programming languages (e.g., R, Python, Stata).
09/26/2026
Full time
Macroeconomic Modeling Specialist (EViews) $35 - $100/hour pay Required Skills EViews Macroeconomics About micro1 micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Job Title: Macroeconomic Modeling Specialist (EViews) Job Type: Contract Location: Remote Job Summary Join our customer's team as a Macroeconomic Modeling Specialist (EViews) and drive the creation, validation, and automation of advanced macroeconomic models. Leverage your expertise in EViews to develop robust time-series and forecasting solutions, contributing essential economic insights that inform key decisions at the organizational level. This remote opportunity is ideal for a passionate modeler who values clarity in communication and excellence in quantitative analysis. Key Responsibilities Design and implement sophisticated time-series models such as VAR, VECM, ARIMA, and cointegration frameworks using EViews. Conduct rigorous model diagnostics and validation to ensure robustness and reliability of forecasts. Automate forecasting workflows for efficiency and scalability within the modeling process. Translate complex statistical outputs into clear, actionable macroeconomic insights for both technical and non-technical stakeholders. Document modeling approaches and results with precise, concise written reports. Collaborate with the customer's team to integrate modeling results into broader economic narratives and policy recommendations. Stay current with macroeconomic modeling best practices and EViews software updates. Required Skills and Qualifications Extensive hands-on experience with EViews, including scripting and automation functionalities. Proven expertise in building, estimating, and validating time-series models-especially VAR, VECM, ARIMA, and cointegration models. Deep knowledge of model diagnostics, stability tests, and forecasting accuracy measures. Strong quantitative background with the ability to explain complex modeling processes in clear written and verbal communication. Demonstrated success in automating modeling and forecasting workflows. Ability to extract economic meaning from statistical outputs and present findings insightfully. Self-driven, detail-oriented, and adept at remote collaboration. Preferred Qualifications Advanced degree in Economics, Econometrics, Applied Statistics, or related field. Previous experience supporting central banks, policy institutions, or financial sector clients with macroeconomic modeling. Familiarity with additional econometric software or programming languages (e.g., R, Python, Stata).
Macroeconomic Modeling Specialist (EViews) $35 - $100/hour pay Required Skills EViews Macroeconomics About micro1 micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Job Title: Macroeconomic Modeling Specialist (EViews) Job Type: Contract Location: Remote Job Summary Join our customer's team as a Macroeconomic Modeling Specialist (EViews) and drive the creation, validation, and automation of advanced macroeconomic models. Leverage your expertise in EViews to develop robust time-series and forecasting solutions, contributing essential economic insights that inform key decisions at the organizational level. This remote opportunity is ideal for a passionate modeler who values clarity in communication and excellence in quantitative analysis. Key Responsibilities Design and implement sophisticated time-series models such as VAR, VECM, ARIMA, and cointegration frameworks using EViews. Conduct rigorous model diagnostics and validation to ensure robustness and reliability of forecasts. Automate forecasting workflows for efficiency and scalability within the modeling process. Translate complex statistical outputs into clear, actionable macroeconomic insights for both technical and non-technical stakeholders. Document modeling approaches and results with precise, concise written reports. Collaborate with the customer's team to integrate modeling results into broader economic narratives and policy recommendations. Stay current with macroeconomic modeling best practices and EViews software updates. Required Skills and Qualifications Extensive hands-on experience with EViews, including scripting and automation functionalities. Proven expertise in building, estimating, and validating time-series models-especially VAR, VECM, ARIMA, and cointegration models. Deep knowledge of model diagnostics, stability tests, and forecasting accuracy measures. Strong quantitative background with the ability to explain complex modeling processes in clear written and verbal communication. Demonstrated success in automating modeling and forecasting workflows. Ability to extract economic meaning from statistical outputs and present findings insightfully. Self-driven, detail-oriented, and adept at remote collaboration. Preferred Qualifications Advanced degree in Economics, Econometrics, Applied Statistics, or related field. Previous experience supporting central banks, policy institutions, or financial sector clients with macroeconomic modeling. Familiarity with additional econometric software or programming languages (e.g., R, Python, Stata).
09/26/2026
Full time
Macroeconomic Modeling Specialist (EViews) $35 - $100/hour pay Required Skills EViews Macroeconomics About micro1 micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Job Title: Macroeconomic Modeling Specialist (EViews) Job Type: Contract Location: Remote Job Summary Join our customer's team as a Macroeconomic Modeling Specialist (EViews) and drive the creation, validation, and automation of advanced macroeconomic models. Leverage your expertise in EViews to develop robust time-series and forecasting solutions, contributing essential economic insights that inform key decisions at the organizational level. This remote opportunity is ideal for a passionate modeler who values clarity in communication and excellence in quantitative analysis. Key Responsibilities Design and implement sophisticated time-series models such as VAR, VECM, ARIMA, and cointegration frameworks using EViews. Conduct rigorous model diagnostics and validation to ensure robustness and reliability of forecasts. Automate forecasting workflows for efficiency and scalability within the modeling process. Translate complex statistical outputs into clear, actionable macroeconomic insights for both technical and non-technical stakeholders. Document modeling approaches and results with precise, concise written reports. Collaborate with the customer's team to integrate modeling results into broader economic narratives and policy recommendations. Stay current with macroeconomic modeling best practices and EViews software updates. Required Skills and Qualifications Extensive hands-on experience with EViews, including scripting and automation functionalities. Proven expertise in building, estimating, and validating time-series models-especially VAR, VECM, ARIMA, and cointegration models. Deep knowledge of model diagnostics, stability tests, and forecasting accuracy measures. Strong quantitative background with the ability to explain complex modeling processes in clear written and verbal communication. Demonstrated success in automating modeling and forecasting workflows. Ability to extract economic meaning from statistical outputs and present findings insightfully. Self-driven, detail-oriented, and adept at remote collaboration. Preferred Qualifications Advanced degree in Economics, Econometrics, Applied Statistics, or related field. Previous experience supporting central banks, policy institutions, or financial sector clients with macroeconomic modeling. Familiarity with additional econometric software or programming languages (e.g., R, Python, Stata).
Data Scientist Required Skills statistics & Mathematics data handling data collecting data analysis and modeling data visualization data clesning programming About micro1 micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Job Title: Data Scientist Job Type: Contractor Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters. Key Responsibilities: Collect, clean, and preprocess diverse data sets to ensure integrity and readiness for analysis. Develop, validate, and implement statistical models to extract actionable insights from complex data. Conduct exploratory data analysis to identify trends, patterns, and opportunities for business improvement. Present findings and recommendations through compelling data visualizations and reports, tailored for technical and non-technical stakeholders. Collaborate closely with team members to design and execute end-to-end data projects, from ideation to delivery. Continuously improve analytical methodologies and automation processes to enhance data workflows. Communicate effectively in both written and verbal formats, ensuring clarity and impact of data-driven recommendations. Required Skills and Qualifications: Expertise in statistics, mathematics, and data analysis techniques. Proven experience in collecting, handling, and cleaning large, complex data sets. Proficiency in programming languages such as Python, R, or similar for data manipulation and modeling. Strong data modeling skills with experience in building and validating predictive models. Advanced ability to visualize data using tools like Tableau, Power BI, or related libraries. Meticulous attention to detail and commitment to data quality at every stage. Excellent written and verbal communication skills, with an emphasis on clarity and precision. Preferred Qualifications: Experience working in a remote, cross-functional, or customer-focused team environment. Background in developing and deploying machine learning solutions in production settings.
09/26/2026
Full time
Data Scientist Required Skills statistics & Mathematics data handling data collecting data analysis and modeling data visualization data clesning programming About micro1 micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Job Title: Data Scientist Job Type: Contractor Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters. Key Responsibilities: Collect, clean, and preprocess diverse data sets to ensure integrity and readiness for analysis. Develop, validate, and implement statistical models to extract actionable insights from complex data. Conduct exploratory data analysis to identify trends, patterns, and opportunities for business improvement. Present findings and recommendations through compelling data visualizations and reports, tailored for technical and non-technical stakeholders. Collaborate closely with team members to design and execute end-to-end data projects, from ideation to delivery. Continuously improve analytical methodologies and automation processes to enhance data workflows. Communicate effectively in both written and verbal formats, ensuring clarity and impact of data-driven recommendations. Required Skills and Qualifications: Expertise in statistics, mathematics, and data analysis techniques. Proven experience in collecting, handling, and cleaning large, complex data sets. Proficiency in programming languages such as Python, R, or similar for data manipulation and modeling. Strong data modeling skills with experience in building and validating predictive models. Advanced ability to visualize data using tools like Tableau, Power BI, or related libraries. Meticulous attention to detail and commitment to data quality at every stage. Excellent written and verbal communication skills, with an emphasis on clarity and precision. Preferred Qualifications: Experience working in a remote, cross-functional, or customer-focused team environment. Background in developing and deploying machine learning solutions in production settings.
