Role Description The Developer is responsible for the overall performance of the product through applying principles of software engineering to the design, development, maintenance, testing, and evaluation of the software. The Developer ensures timely delivery of high-quality software within the release timelines and guidelines. - Develop complex code based on functional specifications across teams and programs; complete logic and algorithm design in alignment with established standards. - Maintain and improve codebase data design and best practices including (but not limited to) performance, security, reliability, deliverability, and quality attributes. - Understand and contribute to the architecture of the software; create initial implementation standards and guidelines for projects that allow teams or programs to begin implementing them based on the technical specifications. - Perform complex peer code review and analysis; provide insight on broader impact of software changes. - Operate as an innovative thought leader and trusted advisor across teams and programs; contribute significantly to the overall growth and quality of the department through knowledge sharing, influence of architectural design, and coaching on current best practices and market trends. - Identify and articulate the business value and broader impact of software changes to internal and external stakeholders; contribute to the prioritization. - Design, contribute to, and lead the implementation of delivery pipeline including test automation, security, and performance. - Create development standards to ensure compliance with product and industry practices and regulations. - Author, review, and approve technical requirements and design documents. - Mentor, coach, train, and provide feedback to other team members; provides feedback to leadership on technical abilities of team. - Act as an escalation point and subject matter expert for the most complex production issues or software code issues to ensure the stability of the application and resolution of issues. Qualifications - Master's degree or equivalent experience. - Significant experience overseeing complex systems analysis, design, and development programs. - Significant experience with data structures, algorithms, and software design. - Experience with continuous software delivery. - Mastery of one or more general-purpose programming languages including but not limited to: Java, C/C++, C#, Objective C, Python, or JavaScript. - Significant experience working in Windows/Linux development environment working with open source tools/platforms. - Significant demonstrated experience with build environments and delivery pipelines. - Experience with test automation and continuous integration tools. - Expertise providing guidance and support to developing technical skills of team members. - Significant experience in software application testing tools, methodologies, and process framework. - Excellent oral and written communications skills that demonstrate a professional demeanor and the ability to interact with executive presence. - Excellent collaboration skills applied successfully within team as well as with all levels of employees in other areas. - Excellent critical thinking and problem-solving skills. - Self-motivated with the ability to manage projects to completion independently. - Ability to work independently and in a team environment. - Excellent attention to detail. - Driven to learn and stay current professionally. - Passionate, competitive, and intellectually curious. - Sharp, fast learner with technology curiosity and aptitude. - Demonstrated ability to influence, motivate, and mobilize team members, business partners, and program leadership. - Strong ability to establish rapport and gain the trust of others; effective at gaining consensus. - Excellent at developing and using original thinking to translate goals into the implementation of new ideas and design solutions. - Demonstrated ability to provide technical and constructive feedback to team members. - Demonstrated leadership in mentoring small teams in the process of conceptualizing, designing, implementing, and shipping quality deliverables. - Ability to provide guidance and support to developing team members. - Up to 10% travel time required.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are looking for a Senior Software Engineer, Browser Automation & RPA to join KayN team. This is a founding-level engineering position on a small team. You will own entire systems, from design to production. We need a senior engineer with deep browser automation and RPA experience who works well in ambiguity and can independently drive new portal integrations from scratch. Key Responsibilities - Build and maintain browser automation agents that interact with third-party insurance portals — each agent handles authentication, patient search, and structured data extraction for a specific portal. - Run the agent development lifecycle: capture pageKnowledge artifacts (schemas, XPath selectors, screenshots) using AI-powered ingestion pipelines, iterate through selector enhancement loops, and manage S3 cache deployment. - Build portal-to-canonical data translators that map portal-specific eligibility data to a structured canonical format — including string parsers, procedure code classifiers, and coverage lookup logic across medical and dental benefit categories. - Write data extraction pipelines using XPath selectors, DOM traversal, and PDF parsing for portals that serve benefits as downloadable documents. - Design and maintain a multi-layer caching architecture (session, action, branch detection, MFA, pageKnowledge) that keeps production agents running without LLM calls at runtime. - Build AI-powered tooling and pipelines that generate and maintain automations (schema generation, selector creation, iterative enhancement). - Debug production automation failures — including cache misses (LlmDisabledError), session expiry, selector drift, and portal UI changes — across 20+ insurance portals. - Make technical decisions on system design, tooling, and implementation independently. - Shape the platform architecture alongside the rest of the engineering team. Qualifications - 5+ years of software engineering experience. - Extensive Playwright experience including CDP, browser contexts, cookie/session management, network interception, and headless SPA behavior. - Background in test engineering, QA automation, or SDET roles — experience building automation infrastructure at scale. - Strong TypeScript skills (Node.js and browser environments). - Deep XPath expertise: anchor-then-navigate patterns, attribute-anchored locators, text-based and positional fallbacks, and XPath debugging against live SPAs. The system is XPath-first; CSS selectors are not used in extraction. - Solid understanding of browser internals: DOM, accessibility trees, CDP protocol, and how modern frameworks affect headless automation. - Experience using AI/LLM APIs to build production features (structured output, prompt engineering, tool use). We use LLMs heavily for schema generation, selector creation, and branch detection — but production agents run in cache-only mode (llmEnabled=false). Comfort with the workflow of building and validating caches locally, then promoting to S3 for production use. - Good architectural and system design skills. Preferred Qualifications - Production RPA or web scraping experience. - Healthcare insurance domain knowledge: procedure codes (CPT, CDT, ICD), coverage tiers, deductibles, prior authorization rules, benefit period logic, and frequency limitations. This domain expertise directly informs how portal data is classified and translated. - PDF parsing experience — some portals deliver benefit breakdowns as downloadable PDFs rather than HTML; extraction requires table parsing in addition to DOM traversal. - AWS (ECS, S3, Lambda). - Monorepo development (pnpm workspaces, Turborepo). - Next.js / React experience. Benefits - 20 fully paid business days of vacation. - 15 fully paid sick leaves. - 11+ fully paid public holidays. - Compensation for health insurance and sport club membership. - Ability to work from home or remotely.

• Develop AI and generative AI applications with LLMs using Python. • Design and implement autonomous agent architectures and AI workflows (LangGraph, CrewAI, or similar). • Build data pipelines and RAG (Retrieval-Augmented Generation) solutions for data ingestion, transformation, and intelligent use of data. • Integrate language models and AI services into enterprise applications via APIs and microservices. • Deploy, monitor, and evolve AI solutions in cloud environments, ensuring scalability and performance. • Work with product and engineering teams to turn business challenges into AI-based solutions.

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 Lead Software Engineer Mastercard Lead MQ Engineer Role Overview Who Is Mastercard Mastercard is a global technology company operating within 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. We leverage secure data and networks, strong partnerships, and a passion for innovation to deliver solutions that help individuals, financial institutions, governments, and businesses realize their greatest potential. Our culture is defined by our decency quotient, or DQ, which guides all of our actions both inside and outside the company. With connections spanning more than 210 countries and territories, Mastercard is committed to building a sustainable world that unlocks priceless possibilities for all. Organizational Overview The Reactive Systems Architecture integration program establishes standard patterns for integration across Mastercard Programs and between Mastercard and its customers. The vision of this program is to enable customers to access our products and services through comprehensive capabilities. For developers, the goal is to provide a single manifest deployment and provisioning experience, allowing them to declaratively provision the shared services they require—whether on-premises, in the cloud, or at the edge—in a self-service manner. This enables developers to focus on solving real business problems and delivering exceptional value to customers. Our customers benefit from a seamless experience that allows them to get up and running swiftly, with the security and performance necessary for their needs. Lead MQ Engineer Role Position Summary As a Lead MQ Engineer at Mastercard, you will serve as both a technical leader and a hands-on contributor. Approximately half of your role will be devoted to deep technical work, while the other half will focus on technical leadership, mentoring, and cross-team collaboration. You will be responsible for the design, implementation, reliability, and evolution of the enterprise messaging platform, with a primary emphasis on IBM MQ in complex, high-availability environments. You will collaborate closely with application teams, infrastructure, SRE, and security to ensure that our messaging backbone is secure, scalable, observable, and resilient. Your expertise will drive messaging best practices, operational excellence, and automation throughout the organization. Responsibilities • Architect, design, and maintain enterprise-grade IBM MQ solutions supporting mission-critical distributed systems. • Act as the technical lead for MQ platforms, providing guidance, standards, and best practices to application and platform teams. • Install, configure, upgrade, and patch IBM MQ across multiple environments, including on-premises and cloud deployments. • Design and implement high availability, disaster recovery, and performance tuning strategies for MQ queue managers. • Collaborate with application teams to design reliable messaging patterns, including request/reply, pub/sub, and event-driven architectures. • Develop and enforce MQ security standards, covering TLS, certificates, authentication, authorization, and queue-level access controls. • Implement monitoring, alerting, and observability for MQ infrastructure to enable proactive detection and resolution of issues. • Lead incident response and root cause analysis for MQ-related production issues, driving permanent corrective actions. • Automate MQ operational tasks using scripting and configuration management tools to improve reliability and efficiency. • Mentor engineers and provide technical leadership through design reviews, documentation, and knowledge sharing. • Stay current with the IBM MQ roadmap, messaging industry trends, and emerging technologies, recommending improvements as appropriate. Qualifications • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience. • At least seven years of experience working with enterprise messaging platforms, with strong hands-on expertise in IBM MQ. • Proven experience designing and supporting MQ in high-volume, high-availability production environments. • In-depth understanding of messaging concepts such as queuing, pub/sub, transactions, persistence, and message ordering. • Experience collaborating with application development teams to integrate messaging solutions. • Strong troubleshooting skills, with the ability to diagnose complex, cross-system issues. • Prior experience in a technical lead or senior engineering role, influencing architecture and engineering standards. Preferred Skills • Experience with distributed messaging and streaming platforms such as Kafka or NATS. • Familiarity with Linux/Unix system administration in enterprise environments. • Experience with scripting languages such as Shell, Python, or similar for automation. • Knowledge of Docker and Kubernetes, including MQ containerization patterns. • z/OS background • Experience with configuration management tools such as Chef, Ansible, or similar. • Familiarity with cloud platforms, with preference for AWS, and hybrid messaging architectures. • Understanding of observability concepts, including monitoring, logging, and alerting for middleware platforms. 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 reasonable_accommodation@mastercard.com 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 Remote - North Carolina: $140,000 - $231,000 USD Job Posting Window Posting windows may change based on the volume of applications received and business necessity. Candidates are encouraged to apply expeditiously.