• Own product quality across the entire software development lifecycle • Responsible for reducing defects, preventing recurring issues, improving engineering behavior • Ensure quality is built into every stage of development • Act as quality authority within Engineering, driving accountability, enforcing quality processes • Use Claude Code daily to analyze Jira issues, incidents, support tickets, and production defects • Trace issues to root causes within the codebase using Claude Code • Identify recurring defect patterns and categorize root causes • Review code changes and identify opportunities to prevent future defects • Generate, review, and improve Playwright and other automated test suites • Identify missing edge cases and testing gaps • Analyze production incidents, customer-reported defects, and engineering issues • Lead post-incident reviews and root cause analysis activities

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 Software Engineer II Senior Software Engineer Overview: 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 realise 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 The CNPF Data & AI organisation is looking for an exceptional Senior Software Engineer to help build the next generation of intelligent, agentic applications and engineering platforms. This is a high-impact role for a hands-on engineer who combines deep software engineering expertise with a passion for AI, innovation, and practical problem solving. You will design and build scalable, production-grade systems that leverage AI, agentic workflows, and modern developer tooling to accelerate product delivery and improve engineering productivity across the full product development lifecycle. You will work at the intersection of software engineering, AI capability development, developer experience, and platform innovation-turning emerging technologies into secure, reliable, and reusable capabilities that create measurable business value. We are looking for someone who is curious, entrepreneurial, and energized by solving hard problems. The ideal candidate brings strong ownership, analytical thinking, and a continuous-learning mindset, and is excited to explore new tools, challenge conventional approaches, and raise the bar for how modern software is built. This is a hands-on role for an engineer who is deeply engaged in applying agentic patterns to real products, platforms, and developer workflows. You will help create the services, frameworks, and reusable engineering patterns that enable teams across Mastercard to experiment faster, deliver with confidence, and scale AI-enabled solutions responsibly. Position Responsibilities: As a Senior Software Engineer, you will:• Design, build, and evolve intelligent, agentic applications and platform capabilities that solve meaningful business problems at scale• Apply AI and agentic development patterns to improve engineering productivity across design, coding, testing, debugging, documentation, release engineering, and operational support• Use modern tools and coding assistants thoughtfully to accelerate delivery while maintaining strong standards for quality, security, reliability, and maintainability• Partner with product, data science, and engineering teams to translate ideas into production-grade solutions with clear business impact• Drive technical innovation by evaluating emerging tools, frameworks, and engineering practices, and identifying where they can create differentiated value Ideal Candidate Qualifications:• 7+ years of strong software engineering experience building scalable, maintainable, production-grade systems• Hands-on experience building applications or platforms using Generative AI, or agentic design patterns• Strong understanding of agent orchestration, tool use, prompt and context management, memory patterns, evaluation, and AI system design trade-offs• Experience taking AI-enabled solutions from prototype to production with sound engineering discipline across reliability, observability, latency, cost, security, and governance• Practical experience using AI coding and engineering assistants to improve productivity across the software development lifecycle• Experience improving PDLC and SDLC efficiency through automation, CI/CD, automated testing, and AI-assisted engineering workflows• Strong programming skills in one or more backend languages such as Java and Python, with the ability to write high-quality, well-tested, production-ready code• Experience building services in cloud-native environments using Kubernetes and managed cloud services on AWS, Azure• Good understanding of APIs, distributed systems, event-driven architectures, data pipelines, and enterprise integration patterns• Experience with modern AI frameworks, SDKs, and tools for building AI applications, agent workflows, and developer productivity solutions• Strong problem-solving and analytical skills, with the ability to break down ambiguity and turn ideas into practical, scalable solutions• Demonstrated innovative mindset with curiosity to learn new technologies, evaluate emerging tools, and apply them where they create value• Strong sense of ownership and accountability, with the ability to independently drive initiatives from concept to delivery• Excellent collaboration and communication skills, with experience working across engineering, product, AI, and business stakeholders• Experience with modern front-end frameworks such as React and/or Next.js is beneficial• Familiarity with inference APIs, embeddings, retrieval-augmented generation, model evaluation, and AI safety controls is preferred All About You• You thrive on building innovative products, platforms, and engineering capabilities that solve real-world problems at scale• You are hands-on, highly curious, and energized by learning new tools, technologies, and ways of working• You actively leverage AI tooling to enhance productivity, improve quality, and accelerate software delivery• You bring a strong ownership mindset and take accountability for outcomes, not just tasks• You are a creative and analytical problem solver who can navigate ambiguity and turn complex challenges into elegant solutions• You are excited by the opportunity to build and scale agentic applications and AI-enabled engineering capabilities in real production environments• You balance speed with engineering discipline and care deeply about security, resilience, quality, and maintainability• You have a product mindset and care about user impact, developer experience, and continuous improvement• You communicate clearly, collaborate effectively across functions, and help raise the bar for those around you• You enjoy experimenting, challenging assumptions, and helping shape the future of modern software engineering Corporate Security Responsibility 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.

Reports to: Engineering Manager Location: Remote US Compensation: $215,000 to $240,000 base plus bonus and equity What We Do: Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact. Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection. Huntress now secures more than 5M endpoints and 11M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other. What You’ll Do: The Huntress team is looking for an innovative, highly motivated, and self-driven Principal Software Engineer to join our Huntress SIEM team. As a Principal Software Engineer at Huntress, you will be responsible for leading a feature delivery team in the design, development, and high-quality release of software features for the Huntress SIEM Platform that provides for automated detection and human-powered threat hunting. You will focus on creating the technical vision for new and exciting features from the product roadmap. You’ll be working with a smart and diverse team of problem solvers who exhibit high energy, deep technical skills, and a drive to get things done. As a Principal Software Engineer, you will work closely with the platform and architecture teams to design and build the type of solutions Huntress has become known for, which are solutions that not only solve problems but drastically improve industry standards, workflows, and user experiences. Responsibilities: - Own delivery, product quality, and up-time of complex mission-critical features/systems - Impact objectives and initiatives that span across departments - Lead technical decisions with company-wide impact - Evolve our collective understanding of our technical domain - Define long-term strategic technical goals and initiatives - Effectively communicate strategic technical vision and set an example for the organization - Work with the team engineering manager to make sure the team is meeting technical expectations and upholding strategy - Communicate critical trade-offs on technical approaches across the platform - Collaborate closely with the team engineering manager, product manager, security research, platform, and architect on strategic initiatives and technical designs - Develop and enforce best practices for the team and department - Design and optimize workflows that bridge the gap between traditional development practices and AI-assisted engineering. - Build and evolve AI tooling and usage in daily development workflows - Experience using AI coding agents to accelerate development - Engage with customers as necessary - Contribute to and improve the organization's test frameworks and approaches - Develop a deep cross-product understanding of features and architecture - Own and drive the performance impact of team/department solutions and the overall platform suite - Lead and develop high-quality, scalable software, software designs, and architecture, and set standards for team excellence - Own improving visibility into software systems at scale, including monitoring and alerting - Focus on the entire life cycle of the system, including evolution, configuration, and risk management - Ensure code quality and test code coverage through code reviews, test plan reviews, and security reviews - Lead the team in providing accurate estimates and taking ownership of the timely completion of work - Mentor and coach junior engineers, fostering an environment that values professional development and promotes collaboration and engagement - Actively engage with the team and lead by being a positive role model What You Bring To The Team: - 15+ years of experience developing complex software products - 8+ years of programming in Ruby on Rails - 8+ years scaling Postgres databases - A BS in Computer Science or Engineering or equivalent experience gained through work - Experience with modern data storage and query systems for high-volume analytics workloads - Experience in Agile or Scrum environment - Experience with JavaScript and CSS - Experience reviewing code, problem-solving, and technical troubleshooting - A deep understanding of ActiveRecord (Rails) - Excellent technical, diagnostic, and troubleshooting skills - Ability to grasp new tools and technologies quickly - Effective communication and interpersonal skills - Ability to prioritize and execute multiple tasks at a time in a fast-paced environment, often operating independently - Ability to distill complex technical topics so that they can be shared and understood by a non-technical audience meaningfully - Ability to work cross-functionally between multiple teams - Passion for technology, strong motivation, and responsibility for high-quality software features - Ability to build strong interpersonal relationships with product, development teams, leadership, senior management, and internal and external stakeholders Helpful experience, but not required - Experience working with SIEM platforms or security log/event data - Experience with AWS, Azure, and/or GCP cloud environments - Experience with Stimulus, Turbo, and/or Hotwire (or similar frameworks) - Experience working in a Ruby on Rails monolith - A passion for building platform capabilities - Eagerness to work with Tailwind CSS, Tailwind UI and Flowbite - Experience with data-led product design - Experience with Clickhouse - Experience with Vector What We Offer: - 100% remote work environment - since our founding in 2015 - Generous paid time off policy, including vacation, sick time, and paid holidays - 12 weeks of paid parental leave - Highly competitive and comprehensive medical, dental, and vision benefits plans - 401(k) with a 5% contribution regardless of employee contribution - Life and Disability insurance plans - Stock options for all full-time employees - One-time $500 reimbursement for building/upgrading home office - Annual allowance for education and professional development assistance - $75 USD/month digital reimbursement - Access to the BetterUp platform for coaching, personal, and professional growth Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status. We do discriminate against hackers who try to exploit businesses of all sizes. Accommodations: If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to accommodations@huntresslabs.com. Please note that non-accommodation requests to this inbox will not receive a response. Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our Candidate Privacy Notice for more details on our practices and your data privacy rights. #BI-Remote

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 Lead Software Engineer Overview: 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 realise 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. Role Overview The CNPF Data & AI organisation is looking for a Lead Software Engineer to help build the next generation of intelligent, agentic products and platforms powering the Mastercard Virtual C-Suite. This is a hands-on technical leadership role for an experienced engineer who combines strong software engineering fundamentals with practical experience building production-ready AI systems. You will lead the design and delivery of secure, scalable, and reliable agentic applications that can reason, orchestrate tools, interact with enterprise systems, and deliver measurable business value. You will work closely with Applied AI, Data Science, Product, Security, and Platform teams to move from concept to experimentation to governed production deployment. Position Responsibilities As a Lead Software Engineer, you will:• Lead hands-on architecture, design, and implementation of agentic applications, AI-powered services, and platform capabilities from concept through production• Define engineering patterns and best practices for production AI systems, including evaluation, monitoring, guardrails, resiliency, cost control, and rollback strategies• Drive end-to-end software delivery across the SDLC, from discovery and prototyping to testing, release, and production operations• Use engineering tools to accelerate design, coding, testing, documentation, troubleshooting, and delivery while maintaining strong engineering judgment and code quality standards• Champion an AI-enabled SDLC by improving developer workflows, automation, test generation, code review quality, release confidence, and team productivity• Partner closely with Product, Applied AI, Data Science, and business stakeholders to translate ambiguous opportunities into scalable product capabilities• Provide technical leadership through architectural decisions, design reviews, code reviews, hands-on contribution, and mentoring of engineers across the team• Build highly available, secure, and maintainable cloud-native services with strong observability, performance, and operational readiness• Shape technical roadmaps, identify short- and long-term platform needs, and influence architecture choices that enable scale, reuse, and faster delivery• Collaborate across teams and business units to solve complex business and engineering problems with practical, high-impact solution• Keep senior stakeholders informed of progress, risks, trade-offs, and implementation decisions in a clear and concise manner Ideal Candidate Qualifications:• Strong software engineering experience building scalable, secure, maintainable production systems, including experience leading complex technical initiatives end to end• Hands-on experience building and shipping AI-powered products or agentic applications using LLMs, orchestration frameworks, tool-calling patterns, retrieval, and context-aware workflows• Strong understanding of agentic system design, including planning, reasoning loops, workflow orchestration, memory, grounding, evaluation, safety, and human-in-the-loop controls• Experience taking AI solutions from prototype to production with sound engineering discipline around reliability, observability, latency, cost, security, and governance• Experience with modern AI frameworks, SDKs, and tooling for building AI applications, agent workflows, and developer productivity use cases• Strong programming skills in one or more backend languages such as Java or Python, with the ability to write high-quality, well-tested, production-ready code• Experience with modern front-end frameworks such as React and/or Next.js for building intuitive product experiences would be beneficial• Experience building services in cloud-native environments using Kubernetes and managed cloud services on AWS, Azure, or GCP• Good understanding of APIs, distributed systems, event-driven architectures, data pipelines, and integration patterns across enterprise platforms• Experience with CI/CD, automated testing, DevSecOps, and engineering automation, including the ability to improve SDLC efficiency and release quality using AI tools• Practical experience using AI coding and engineering assistants to improve productivity across design, implementation, testing, debugging, documentation, and operational support• Strong background in software security, including authentication, authorisation, secrets management, encryption, threat modelling, and secure deployment practices for AI-enabled systems• Proven ability to create reusable platforms, frameworks, or internal engineering capabilities that improve developer experience and accelerate delivery across teams• Strong product mindset with the ability to translate user needs and business goals into practical, high-impact technical solutions• Excellent collaboration and communication skills, with experience influencing across engineering, product, data science, and leadership stakeholders All About You• You are a hands-on technical leader who enjoys building and shipping real products, not just prototypes• You have experience building or operating AI-enabled or agentic applications in production and understand what it takes to make them secure, reliable, and useful at scale• You combine strong software engineering fundamentals with curiosity and good judgment in applying emerging AI capabilities to real business problems• You actively use AI to enhance your own engineering productivity and help teams adopt better ways of designing, coding, testing, documenting, and operating software• You understand where AI can accelerate delivery and where human review, engineering discipline, and thoughtful controls remain essential• You care deeply about customer value, developer experience, quality, resilience, and long-term maintainability• You are comfortable working in collaborative, cross-functional, and internationally distributed teams• You raise the bar for others through mentorship, technical leadership, and a practical, delivery-focused mindset• You communicate complex technical concepts clearly and effectively to both engineering teams and senior stakeholders Corporate Security Responsibility 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.