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 Engineer - Cloud Platform Engineer Senior Cloud Platform Engineer, Foundry Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is 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. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. Overview Mastercard are looking for a talented Cloud platform engineer to join the Mastercard Foundry team. In this role you will work in a highly agile team to support product development and innovation projects, managing cloud-based & hybrid hosting environments as well as the implementation and maintenance of development services. An additional core focus of the role is to experiment and try out new & emerging technologies, with the view to designing and building out the next generation hosting platform. Our team is built on a foundation of research and development, mining innovation internally and creating new product lines with emerging technologies. As part of Foundry, the team both supports the existing environments, but also researches new technologies and processes to continuously push our hosting environment and development experience. Role• Role requires working with various cross-functional engineering specialists, project managers and application development teams to define and implement a cloud-based hosting solution• Working with emerging technologies, AI driven tools & agentic use cases and incorporating same into common SDLC/PDLC• Responsible for supporting running applications, infrastructure and development teams on a day-to-day basis• Capturing technical requirements and defining technology solutions for approval; creating the conceptual, logical, and physical design of the solution to ensure appropriate technology is acquired and implemented• Evaluating technologies and determining strengths and weaknesses of technology architecture, implementation and suitability; recommending solutions to ensure consistency with the company vision• Ensures technical feedback from stakeholders is brought back to ensure it is taken into consideration for future technology and solution directions• Support Mastercard Foundry's 24 x7 Production cloud environment All About You Knowledge/Experience (Preferred): • Strong background and familiarity with AI development workflow, coding assistants, AI tooling & Agentic frameworks for infrastructure provisioning• Understanding of AI/MLOps, retraining and evaluation workflows as well as an understanding of the tooling that support these• Experience building and supporting cloud & hybrid infrastructure - Azure, AWS, GCP, VmWare, OpenShift & Bare-metal• Experience in containerization solutions - Kubernetes (AKS, EKS, OCP), Docker• Experienced in pipeline development for CI/CD & IaaC• Solid grasp of configuration management and infrastructure automation tools like Ansible, Terraform, Chef, Puppet, GitHub Actions• Strong knowledge of code versioning and build tools such as Jenkins, Git, Artifactory Additional Experience (Beneficial) Having any of the following will also be beneficial but not essential:• Solid networking background (TCP/IP, TLS & cert management, Load Balancing, Routing, Switching, IP networking, F5, SD-WAN fundamentals)• Experience supporting database instances - RDBMS or NoSQL (e.g. Postgres, MySQL, MongoDB) • Experience with environmental and application monitoring tools (e.g Splunk, Grafana, Azure LogAnalytics & Azure monitor, DynaTrace, Zabbix, Prometheus, ELK etc)• Any Cloud deployment certification - AWS Certified Solutions Architect, or MCSE Cloud Platform & infrastructure • Ai/ML & Data science knowledge & experience Skills/Abilities: • High energy, can-do attitude, with a strong desire to succeed & learn• Strong Analytical skills• Good communication skills• Self-motivated with the ability to work on own initiative Corporate Security Responsibility Every person working for, or on behalf of, Mastercard is responsible for information security. All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and therefore, it is expected that the successful candidate for this position 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. 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.

• Own our fundamental cloud services and tooling. You will manage our cloud networks, security policies, and other low-level cloud services. Our engineering team provisions cloud infrastructure on top of this foundation, using infrastructure as code tools like Terraform. • Own our application platform. You will administer our Kubernetes clusters to meet the needs of the engineering team. You will explore new tools and services that improve the security and reliability of our applications running on the platform. • Own our developer experience. You will assist engineers with best practices for using and deploying to the platform. You will administer our CI/CD and other internal tools to make this as easy as possible.

Description *We are open to 100% remote work anywhere in the Continental US * Prefer candidates in the MD DC VA area so they can go onsite for meetings if needed. The Work: ICF is looking for an enthusiastic Senior ServiceNow Platform Engineer/Developer to play a pivotal role in successfully leading the Platform support, as well as ongoing development and deployment of ServiceNow solutions for our clients. In this role, you will lead the design, configuration, customization, and implementation of ServiceNow applications to meet specific business requirements. Your technical expertise and leadership, attention to detail, and commitment to excellence will contribute significantly to the success of our projects and the satisfaction of our clients. An active or prior Secret clearance is required for this position. This position requires DoS Public Trust. Job Location: This position requires that the job be performed in the United States. If you accept this position, you should note that ICF does monitor employee work locations and blocks access from foreign locations/foreign IP addresses and prohibits personal VPN connections. - You may be asked to travel once a quarter to an office. - Our core work hours are 10am - 4pm Eastern Time with the option to start earlier or work later depending on your time zone. What You Will Do: - Change Management: Support change management efforts by assisting developers, architects, clients, and users during the Release Management periods, addressing inquiries, and resolving issues promptly. - Integration Management: Assist architects in the design and integration of ServiceNow with other systems and applications to create seamless end-to-end processes. - System Optimization: Collaborate with architects to analyze platform performance, design optimization strategies, and implement performance and security improvement configurations, contributing to the overall stability, efficiency, and security of ServiceNow solutions. This includes the ability to oversee and participate in Clone Downs, Instance Upgrades, MID Server Support, Multi-factor Authentication Support, and Annual Authority to Operate (ATO) reviews. - Best Practices: Contribute to the development of ICF’s best practices and standards. Adhere to security and implementation best practices and ensure that implemented solutions meet relevant compliance requirements. - Collaboration and Communication: Work closely with project managers, other implementation specialists, and stakeholders to ensure seamless project coordination and effective, regular communication, including risks, issues, successes, and overall project status. - Technical Implementation: Collaborate with cross-functional teams and lead the implementation of ServiceNow solutions that align with the designed requirements and ensure solutions meet industry’s best practices. Develop and maintain advanced scripts, business rules, and client scripts. - Technical Documentation: Validate the completeness of the team’s documentation of configurations, customizations, data schemas, and other technical decisions. - Testing and Quality Assurance: Conduct thorough peer testing of ServiceNow configurations to validate functionality, data integrity, and user experience. Work with other Developers and Quality Assurance Engineers to address any issues and make necessary adjustments to ensure the solution meets the desired outcomes. - Client and End-User Training: Support client and end-user training to ensure a smooth adoption of the implemented solution. - Incident and Problem Resolution: Troubleshoot and resolve technical issues related to ServiceNow implementations. Collaborate with support teams to provide timely resolution to incidents and problems. - Continuous Learning: Stay updated on the latest ServiceNow features, enhancements, and best practices to enhance the quality of implementations and maintain expertise in the platform. Continue certification and training process to meet Practice standards and growth areas and contribute to the continued success of the team. - Mentorship: Provide technical guidance to Associate ServiceNow Developers and ServiceNow Developers. Support the growth of other Practice members to meet the needs of their role, the business, and future growth opportunities. Share solutions and lessons learned with ICF’s ServiceNow Practice. - Corporate Growth: Support the development of client roadmaps and solution demonstrations to identify and foster new opportunities for ICF services and ServiceNow license sales. Although not required, it is encouraged to support proposals (“bids”) for new opportunities, including oral presentations and written technical proposals. What You Will Bring With You: - 5 or more years of IT Development - 3 or more years of experience implementing ServiceNow solutions. - ServiceNow Certified System Administrator and Certified Application Developer - 1+ years of experience with Clone Downs and Upgrades - US Citizenship is required (required by the federal government for this position) - Must be able to obtain a DoS Public Trust clearance. - Must have a Secret Clearance or above - MUST RESIDE IN THE United States (U.S.) and the work MUST BE PERFORMED in the United States (U.S.), as this work is for a federal contract and laws do apply. What We Would Like You To Bring With You: - Certified in additional mainline certifications, with preference for the following combinations: - CIS – Human Resources and CIS – IT Service Management - CIS – Customer Service Management and CIS– IT Service Management - CIS – Discovery and CIS – Service Mapping - CIS – Software Asset Management and CIS – Hardware Asset Management - CIS – Project Portfolio Management and CIS – Application Portfolio Management - Hands-on experience configuring and building ServiceNow applications, with over 480 hours of development effort across ten or more applications - Demonstrated ability to write and maintain high-quality code independently, without reliance on AI assistance when required - In-depth knowledge of scripting languages, including JavaScript and ServiceNow Server-side and Client-side scripting - Comprehensive understanding of ServiceNow platform capabilities, core modules, and industry best practices - Strong expertise in ServiceNow platform management, including MID Servers, integrations, multi-factor authentication, and Zero Trust security principles - Working knowledge of ITIL processes and IT Service Management (ITSM) frameworks - Advanced technical skills in workflow configuration, business rule development, and platform automation Professional Skills - Proven expertise in designing and implementing complex workflows to support scalable business processes - Demonstrated ability to independently design, build, and manage integrations with external systems - Strong problem-solving skills to analyze challenges and develop innovative, effective solutions - Exceptional attention to detail with advanced analytical and problem-solving capabilities - Ability to collaborate effectively within a team-oriented environment to achieve shared objectives #sod25 #senw22 #dmx24 #indeed #li-cc1 #clearance Working at ICF ICF is a global advisory and technology services provider, but we’re not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future. We can only solve the world's toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer. Together, our employees are empowered to share their expertise and collaborate with others to achieve personal and professional goals. For more information, please read our EEO policy. We will consider for employment qualified applicants with arrest and conviction records. Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs, in all phases of the application and employment process. To request an accommodation, please email Candidateaccommodation@icf.com and we will be happy to assist. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.  Read more about workplace discrimination rights or our benefit offerings which are included in the Transparency in (Benefits) Coverage Act. Candidate AI Usage Policy At ICF, we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate or assist with responses during interviews (whether in-person or virtual) is not permitted. This policy is in place to maintain the integrity and authenticity of the interview process.  However, we understand that some candidates may require accommodation that involves the use of AI. If such an accommodation is needed, candidates are instructed to contact us in advance at candidateaccommodation@icf.com. We are dedicated to providing the necessary support to ensure that all candidates have an equal opportunity to succeed.   Pay Range - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position. The pay range for this position based on full-time employment is: $98,614.00 - $167,644.00 Nationwide Remote Office (US99)

Who We Are Arrive Logistics is a leading transportation and technology company in North America, with plans to continue to significantly grow year over year. Our success is a testament to our remarkable team and what we are building together. We’re committed to providing employees with a meaningful work experience and have established an award-winning culture that supports personal and career development in a fun, casual, and collaborative environment. There has never been a more exciting time to get on board, so read on to learn more and apply today! Who We Want As a Machine Learning Platform Engineer at Arrive Logistics, you will play a key role in maintaining and expanding Arrive's ML platform and product capabilities. This role requires driving and contributing to crucial roadmap projects while ensuring quality, maintainability and functionality. These initiatives may vary from serving models scalably to building ML-powered products focused on maximizing profit. What You'll Do - Design, build, and maintain scalable ML systems and infrastructure using Python, Postgres, and Elasticsearch. - Partner closely with other Machine Learning Engineers, Product Managers, Data Scientists, Data Engineers, and Product Engineers to ensure the successful delivery of strategic and roadmap initiatives - Own systems throughout the software development lifecycle, from design to development, deployment and monitoring. - Maintain and improve performance of existing data systems and processes while balancing maintainability, observability and readability. - Demonstrate a deep sense of ownership by developing a thorough understanding of a domain. At the same time, you must be able to explain the behavior of and contribute to code bases that may be outside your domain. - Proactively propose solutions to gaps in process, technology, software design and architecture - Provide rigorous and detailed code reviews that uphold team standards, testing and software design best practices - Foster a culture of constant improvement and growth, engineering excellence, humility, positivity and curiosity. Take a lead role in making our two days in the office productive and engaging, fostering face-to-face mentorship and collaborative whiteboarding sessions. Qualifications - Bachelor’s degree in Computer Science, Engineering, or a related field or equivalent professional experience. - 3+ years of experience with ML ops (features stores, model registries and auto ML), model serving and optimization. - 3+ years of experience with Python and building highly scalable backend services - Experience with frameworks like Sklearn, Pandas and Numpy. Plus if Huggingface, Tensorflow, Pytorch experience. - 2+ years of experience with relational databases - 2+ years of experience designing maintainable and scalable systems - System design experience with a focus on loosely coupled, distributed systems, microservices and event-driven architectures - Experience developing cloud-native dockerized applications in Kubernetes - Experience working with online experimentation and platforms like Statsig - Understanding of both traditional machine learning and deep neural networks - Strong communication skills with the ability to articulate, diagram and document complex ML or engineering concepts. - Strong analytical, problem-solving, decision-making, and interpersonal skills. - Strong project management and organizational skills with experience identifying project milestones to ensure timely project delivery - You are a self-starter who can deliver projects independently, yet you also thrive in collaborative environments. You recognize the value of diverse perspectives in developing optimal solutions and consistently demonstrate a willingness to support colleagues as a strong team player. - You approach software engineering as a craft, balancing the pursuit of clean, maintainable code with the demands of a fast-moving, dynamic business environment. You collaborate effectively with product managers and leadership to choose development paths that minimize technical debt while ensuring the timely delivery of high-quality products. While you have a strong drive for innovation, you also recognize the critical need to stabilize and harden existing products and services. - You believe that while remote work is functional, in-person collaboration is where the "magic" happens. You are excited to help shape the energy of our physical workspace. - You take initiative to go beyond current responsibilities and actively seek new challenges. - You are passionate about building high impact ML and data driven products. The Perks of Working With Us - Take advantage of our benefits including monthly grocery vouchers, vacation days, savings fund, medical insurance (including dental and vision plans) and more. - Leave the suit and tie at home; our dress code is casual. - Enjoy office wide engagement activities, team events, happy hours and more! - Work in our new Guadalajara office located in Torre 1500 (Av. Americas 1254) within the plaza, you'll find cafes and a wide variety of local restaurants. - Start your morning with free coffee! - Maximize your wellness with free counseling sessions through our Employee Assistance Program - Get paid to work with your friends through our Referral Program!