Role Description We are looking for a Platform / DevOps Engineer to design, build, and operate the core infrastructure for a research compute datacenter. This platform supports researchers and physicists by providing scalable compute resources and exposing selected physics experiments to external users as Software-as-a-Service (SaaS). - Design, maintain, and operate bare-metal Kubernetes clusters used for research and production workloads. - Build and manage declarative GitOps and workflows using tools such as Argo CD and Argo Workflows. - Develop and maintain Python-based infrastructure automation, backend services, APIs, and internal tooling for Kubernetes-based research platforms. - Administer and support core services such as Linux systems, Redis, and PostgreSQL. - Implement and evolve networking and security policies, including Cilium-based enforcement. - Collaborate with researchers to expose internal physics experiments as external SaaS services. - Contribute to internal platforms and, where possible, open-source projects. - Continuously improve reliability, observability, and developer/researcher experience. Qualifications - 5+ years of experience with Python (automation, tooling, or backend services). - 3+ years of hands-on experience maintaining bare-metal Kubernetes clusters. - Practical knowledge of GitOps and DevOps tools, especially Argo CD, Argo Workflows. - 3+ years of experience operating Redis and PostgreSQL in production environments. - Solid Linux system administration skills. - Comfortable working in complex, distributed infrastructure environments. - Excellent communication skills for collaborating with cross-disciplinary teams. - Commitment to thorough documentation and knowledge sharing. - Ability to design and implement reusable infrastructure patterns. Requirements - Direct impact on scientific research and real-world physics experiments. - Opportunity to work on non-cloud, high-performance, bare-metal infrastructure. - Strong emphasis on open-source technologies and best practices. - A mix of deep infrastructure engineering and exposure to user-facing services. Benefits - This position is open to candidates based in the USA. - We offer full-time remote work, allowing you to contribute from anywhere within the country while collaborating closely with our team and researchers. Preferred Skills - Basic knowledge of Cilium and Tetragon networking and policy enforcement (or strong interest in learning it). - Basic web development experience, preferably with Svelte (or interest in learning frontend technologies). - Experience contributing to or maintaining open-source software. - Minor bonus: some familiarity with Go (Golang) is a plus but completely optional.

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, Priceless Platform Job Title: Lead Software Engineer - Priceless Engineering Team Inspire, Innovate, and Deliver: Shaping the Future of Priceless Experiences About the Priceless Engineering Team The Priceless Engineering Team is at the forefront of technological innovation, committed to building robust, scalable, and elegant solutions that enable extraordinary experiences for millions. We believe in blending creativity with technical excellence, empowering each member to drive meaningful change at the intersection of technology and human connection. If you are passionate about leadership, engineering best practices, and shaping a culture of curiosity and excellence, this is the ideal place to advance your career. Position Overview As a Lead Software Engineer on the Priceless Engineering Team, you will be entrusted with the stewardship of critical projects and the mentorship of talented engineers. You will architect and build complex, scalable platforms and services that power our most ambitious initiatives. Your technical expertise will be matched only by your ability to inspire and guide others, ensuring the team delivers innovative, reliable, and maintainable solutions. Key Responsibilities Technical Leadership: Set the technical vision and drive the architecture for high-impact projects. Ensure design decisions align with strategic goals and industry best practices. Hands-On Development: Write clean, efficient, and well-documented code. Lead by example, conducting code reviews, pair programming, and cultivating a culture that values craftsmanship. Project Ownership: Take end-to-end ownership of features and systems, from requirements gathering and design to deployment, monitoring, and iterative improvement. Mentorship & Collaboration: Mentor and coach team members, fostering growth and technical excellence. Facilitate collaboration across disciplines, including product, design, and operations. Continuous Improvement: Champion modern engineering practices, including automated testing, CI/CD, cloud-native development, and DevOps. Encourage a mindset of continuous learning and iteration. Stakeholder Communication: Communicate effectively with technical and non-technical stakeholders. Translate complex technical concepts into clear action plans and progress updates. Quality & Reliability: Uphold rigorous quality standards. Proactively identify and address technical debt, system bottlenecks, and security vulnerabilities. Required Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 8+ years of professional software engineering experience, with at least 2 years in a technical leadership role. Proficiency in one or more modern programming languages (e.g., PHP, Java, C#, Python, Go, TypeScript). Strong knowledge of distributed systems, APIs, and microservices architecture. Experience with cloud platforms (AWS, Azure, or Google Cloud) and building scalable, resilient systems. Expertise in agile methodologies and product-driven development. Demonstrated skill in mentoring and leading cross-functional teams. Excellent communication and interpersonal skills. Preferred Qualifications Experience in the payments, fintech, or e-commerce industry. Track record of delivering customer-facing products and systems at scale. Contributions to open-source projects or technical communities. Advanced knowledge of security and compliance best practices. Familiarity with event-driven architecture and reactive systems. Strong analytical and problem-solving abilities, with a bias for action. What We Offer A collaborative, innovative environment where your voice and ideas truly matter. Opportunities for professional growth, technical advancement, and leadership development. Competitive compensation and comprehensive benefits package. Flexible work arrangements, including hybrid and remote options. Access to state-of-the-art tools, learning resources, and industry events. The chance to work on mission-driven projects that have a lasting positive impact worldwide. Our Culture & Values We believe that diversity, equity, and inclusion drive ingenuity. The Priceless Engineering Team is dedicated to building a culture where every individual feels empowered, respected, and inspired. We foster an atmosphere of open communication, mutual support, and shared purpose. Our values include: Innovation: We see every challenge as an opportunity to learn and grow. Integrity: We do what is right, not what is easy. Accountability: We own our actions and outcomes together. Collaboration: We succeed as one team, celebrating diverse perspectives and talents. Excellence: We strive for technical mastery and impactful solutions. How to Apply If you are driven to lead transformative engineering efforts and passionate about working on cutting-edge technology in an inclusive and supportive environment, we'd love to hear from you. Please submit your resume, a cover letter detailing your leadership philosophy, and portfolio links (e.g., GitHub, LinkedIn) if applicable. Embark with us on the journey to create something truly priceless. 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.

Role Description We are sharing a specialised part-time consulting opportunity for professionals experienced in cloud architecture, platform engineering, site reliability, DevOps, DevSecOps, cloud security, FinOps, and structured cloud infrastructure workflows. This role supports current and upcoming remote consulting opportunities focused on structured cloud infrastructure review, enterprise workspace design, cloud workflow documentation, platform engineering scenarios, reliability workflows, and high-quality project execution. Selected professionals will apply their cloud computing expertise to review realistic infrastructure scenarios, evaluate technical requirements, prepare structured written outputs, and support accurate, evidence-based cloud workflow tasks. Key Responsibilities - Cloud Architecture & Infrastructure Workflow Review - Review cloud infrastructure scenarios involving multi-account environments, multi-region architecture, hybrid cloud setups, capacity planning, architecture documentation, and platform workflows. - Evaluate cloud architecture materials against documented requirements, operational constraints, security expectations, and technical standards. - Support structured review of architecture docs, RFCs, runbooks, capacity plans, infrastructure diagrams, and technical workspace materials. - Identify missing assumptions, configuration gaps, workflow issues, and expected cloud infrastructure outcomes. - Platform Engineering, DevOps & SRE Support - Review platform and reliability scenarios involving CI/CD workflows, internal developer platforms, incident post-mortems, production operations, observability, and automation. - Evaluate DevOps and SRE materials against source documentation, reliability targets, runbook expectations, and operational requirements. - Support structured review of Terraform or Pulumi workflows, GitHub Actions or CircleCI pipelines, Datadog or Splunk materials, incident reports, and SRE review decks. - Prepare clear written explanations for cloud and platform engineering decisions based on source materials and verifiable criteria. - Cloud Security, Compliance & FinOps Review - Review cloud security and governance scenarios involving access controls, identity workflows, SOC 2, ISO 27001, FedRAMP, cost reports, and FinOps processes. - Evaluate cloud cost, compliance, and security documentation against defined criteria, expected controls, and operational requirements. - Support structured review of Okta, Microsoft Entra ID, cloud access workflows, cost optimization materials, and compliance documentation. - Maintain accuracy, consistency, and professional judgment across submitted work. Qualifications - 3+ years of experience in cloud architecture, cloud infrastructure, platform engineering, SRE, production engineering, DevOps, DevSecOps, cloud security, cloud FinOps, or related technical roles. - Experience with one or more major cloud or data platforms such as AWS, Microsoft Azure, Google Cloud, Oracle Cloud, Snowflake, Databricks, or large-scale enterprise infrastructure environments. - Familiarity with tools such as Terraform, Pulumi, Datadog, Splunk, GitHub Actions, CircleCI, Okta, Microsoft Entra ID, Kubernetes, Docker, or similar cloud and platform systems. - Comfort reading and preparing technical artifacts such as architecture docs, runbooks, RFCs, incident post-mortems, capacity plans, cost reports, SRE review decks, and workflow documentation. - Strong analytical thinking and written communication skills. - Ability to translate cloud and infrastructure workflows into clear, structured task documentation. Educational Background - A degree or professional background in computer science, cloud computing, information technology, systems engineering, cybersecurity, software engineering, infrastructure engineering, or a related technical field is helpful. - Equivalent practical experience in cloud operations, platform engineering, DevOps, SRE, cloud security, or enterprise infrastructure workflows is also highly relevant. Nice to Have - AWS, Azure, GCP, Oracle Cloud, Snowflake, Databricks, Kubernetes, DevOps, security, or FinOps certifications. - Experience with AWS Solutions Architect, Azure Solutions Architect, GCP Professional Cloud Architect, CKA, CKAD, SysOps, DevOps, or related certifications. - Familiarity with SOC 2, ISO 27001, FedRAMP, cloud governance, identity systems, cloud cost optimization, or enterprise compliance workflows. - Experience preparing or reviewing cloud architecture docs, incident reports, runbooks, CI/CD workflows, capacity plans, cost reports, or reliability documentation. - Strong attention to detail in technical, security-sensitive, and infrastructure-heavy environments. Why This Opportunity - Apply cloud infrastructure and platform engineering expertise to structured remote project work. - Contribute to high-quality cloud workflow review, infrastructure documentation, reliability scenarios, and platform engineering analysis. - Work on flexible, project-based assignments aligned with your cloud computing background. - Use your infrastructure judgment in a focused, detail-oriented technical environment. - Remote structure with competitive hourly compensation. Contract Details - Independent contractor role. - Fully remote with flexible scheduling. - Part-time commitment depending on project availability. - Competitive rates between $60–$85 per hour depending on expertise. - Weekly payments via Stripe or Wise. - Projects may be extended, shortened, or adjusted depending on scope and performance. - Work will not involve access to confidential or proprietary information from any employer, client, or institution.

Role Description We are sharing a specialised full-time consulting opportunity for software engineers experienced in SaaS platform development, backend and frontend engineering, API integrations, real-time dashboards, agentic workflows, MCP-style architectures, and production-ready technical delivery. This role supports current and upcoming remote technology consulting opportunities focused on AI-native platform development, integrations architecture, real-time analytics, agentic tool-use workflows, product launch support, and high-quality software execution. Selected professionals will contribute to end-to-end engineering work across platform foundations, data models, APIs, dashboards, workflow systems, and integration layers. Key Responsibilities - AI-Native Platform Development - Build core platform foundations including entities, workflows, permissions, multi-tenant structures, and production-ready application features - Ship end-to-end product functionality across backend and frontend systems - Develop scalable data models, APIs, user-facing workflows, and internal product surfaces - Support pilot launches through hands-on implementation, debugging, iteration, and user-driven improvements - Integrations, APIs & Agentic Tool Architecture - Design and implement integration layers connecting common business tools, external APIs, event ingestion systems, sync workflows, and action frameworks - Work with OAuth2, webhooks, API pagination, rate limits, sync semantics, connector design, and integration reliability - Build MCP-compatible or MCP-style tool interfaces, tool registries, runtime patterns, permission layers, and observability flows - Support agentic workflows that allow software systems to interact safely and reliably with external tools - Analytics, Engineering Quality & Technical Delivery - Build real-time analytics dashboards with live metrics, drill-downs, exports, and stakeholder-facing reporting surfaces - Set up strong engineering hygiene including testing, observability, deployment readiness, and pilot-stage reliability - Review technical tradeoffs, unblock implementation issues, and communicate clearly with stakeholders - Maintain high standards for correctness, maintainability, speed, and practical product execution Qualifications - Strong practical software engineering experience with the ability to ship end-to-end product features - Experience building SaaS products with APIs, data models, authentication, production constraints, and user-facing workflows - Deep comfort with integrations, including OAuth2, webhooks, third-party APIs, rate limits, event ingestion, and data sync logic - Familiarity with backend and frontend engineering across modern web application stacks - Comfort using AI-assisted development tools effectively while maintaining strong judgment around tests, interfaces, and guardrails - Clear communication skills and ability to explain technical tradeoffs to product, engineering, and stakeholder teams Educational Background - A degree or professional background in computer science, software engineering, computer engineering, information systems, data systems, or a related technical field is helpful - Equivalent practical experience in SaaS engineering, platform development, integrations engineering, full-stack development, backend systems, or AI-native product work is also highly relevant Nice to Have - Experience with MCP-style tool interfaces, tool servers, agent frameworks, workflow automation, or AI-native product architectures - Familiarity with React, Node.js, Python, TypeScript, Next.js, FastAPI, PostgreSQL, cloud platforms, Docker, CI/CD, observability tools, or modern SaaS infrastructure - Experience building dashboards, analytics surfaces, integration frameworks, event-driven systems, or multi-tenant platforms - Background in startup engineering, product engineering, platform teams, developer tools, internal tools, or AI workflow products - Strong attention to detail in fast-moving, production-focused, integration-heavy software environments Why This Opportunity - Apply software engineering expertise to AI-native platform and integrations development - Contribute to high-quality SaaS infrastructure, real-time dashboards, agentic workflows, and production product delivery - Work on remote technical assignments aligned with modern AI and platform engineering practices - Use your engineering judgment in a focused, fast-moving product development environment - Remote structure with competitive hourly compensation Contract Details - Full-time consulting-style engagement - Fully remote role - U.S.-based professionals preferred depending on project requirements - Competitive rates between $95–$140 per hour depending on expertise - Weekly payments via Stripe or Wise - Projects may be extended, shortened, or adjusted depending on scope and performance - Work will not involve access to confidential or proprietary information from any employer, client, or institution