Cloud Support Engineer Salary at Paypal Inc BETA

Job Description: We are seeking an experienced Salesforce Revenue Cloud (CPQ) SME to lead solution design, implementation, and optimization efforts for CPQ and Billing functionalities. The ideal candidate will have deep expertise in Salesforce Revenue Cloud, strong problem-solving abilities, and a solid understanding of the Quote-to-Cash (QTC) process. Responsibilities: Lead design and configuration of Salesforce CPQ/Billing solutions. Collaborate with business and technical teams to gather requirements and implement scalable solutions. Optimize the Quote-to-Cash process including pricing, quoting, contract management, and billing. Provide SME-level guidance and best practices around Salesforce Revenue Cloud. Support testing, deployment, and post-implementation efforts. Qualifications: Bachelor’s degree in Computer Science, IT, or related field. 10+ years of Salesforce experience with 3+ years in Revenue Cloud (CPQ & Billing). Strong knowledge of Salesforce platform, Apex, and Lightnin

Maxonic maintains a close and long-term relationship with our direct client. In support of their needs, we are looking for a Software Architect, Monetization Platform. Job Description: Job Title: Software Architect, Monetization Platform Job Type: Fulltime Job Location: San Jose, California, The ideal location for this role is the San Jose office, but ther are open to Raleigh, NC also. Work Schedule: Hybrid Salary: $183,100 - $230,900 / year, Based on experience Responsibilities: We are looking for an Expert Engineer, CPQ (Monitization) to lead the design, development, and optimization of a cutting-edge Monetization Platform. In this role, you will be responsible for building scalable solutions encompassing Product Setup, Pricing Management, Loyalty Programs, Asset Management, Post-Sales Processes, and Payment Systems. Your expertise will ensure that our platform integrates seamlessly with customer-facing applications, driving growth and enhancing the customer experience. You will work

Fully remote, with the exception of occasional meetings in San Francisco to collaborate. Bay Area residency required. We believe that everyone deserves their own personal army of AI helpers with deep access to company data to automate any task. Datagrid ingests business data continuously from 100+ sources, makes it all available to AI, and eliminates grunt-work such as categorizing 10k support tickets in minutes. We are a Series-A startup headquartered in San Francisco, but operate as a distributed company. We offer competitive salaries and health benefits, along with equity and respect for work/life balance. Join our tight-knit team that ships fast and pushes the boundaries of AI! In the last few months, our agents learned to use Microsoft Teams, write SQL queries, and automate tasks on complex schedules like “MWF at half past 9”. Our Agents live where people work (Slack, Microsoft Teams, etc.) and automatically take useful actions like producing safety reports from worksite photos. R

Machine Learning Engineer We’re hiring an Machine Learning Engineer to help build and scale the infrastructure behind a growing open AI platform. This role blends machine learning with core software engineering to deliver the systems that power model development, training, and deployment at scale. We’re a small, mission-driven team working at the intersection of machine learning research and infrastructure. The platform you’ll help maintain supports thousands of users worldwide, many of whom are contributing directly to open-source AI research and development. You’ll be building tools, systems, and pipelines that support cutting-edge ML projects and real-world applications. As a Machine Learning Engineer, your responsibilities will span training infrastructure, performance optimization, and cloud-based deployment systems. You’ll work closely with engineers and researchers to ensure the platform meets both research and production needs. Expect to contribute to core infrastructure, open-

Mandatory Skills: Experience in Implementing Salesforce applications using Sales Cloud, Service Cloud, Community Cloud, Call Center, Chatter, Einstein & App-exchange applications. Extensive experience in Salesforce configuration and development including Flows, Apex (classes and triggers), Visual Force page, Lightning Components (Aura or LWC) Experience in Designing and implementing reusable, extensible, scalable and maintainable applications. Experience in data mapping and migration of data from legacy systems to Salesforce.com objects and fields. Experience with integrating Salesforce, ServiceNow, Snowflake, Service Mesh, Fabric Architectures, Custom applications, and other SaaS applications using integration platforms. Designing and implement solutions that the Salesforce.com platform cannot support, using Heroku/AWS and general-purpose languages like Python or Node.js Hands On experience on any messaging platform (Kafka or RabbitMQ) Experience in setting up and maintaining of conti

Job Description: We are looking for a seasoned Salesforce Solutions Architect to design and implement scalable, high-impact Salesforce solutions that align with business goals. This role requires a strong technical foundation, strategic thinking, and deep expertise across Salesforce platforms. Key Responsibilities: Design and implement end-to-end Salesforce solutions across Sales, Service, Experience, and Revenue Clouds. Collaborate with stakeholders to understand business needs and translate them into effective Salesforce architecture. Provide guidance on development best practices and ensure alignment with platform standards. Lead integration efforts with third-party systems using APIs, middleware, and Salesforce tools. Act as a trusted advisor for technical design, performance optimization, and future scalability. Support governance, code reviews, and release management processes. Qualifications: Bachelor’s or Master’s degree in Computer Science, Information Systems, or related fiel

Principal Software Engineer - Data Platform San Francisco, CA (Remote Eligible – US Only) $230K–$280K base + equity Are you ready to lead the design and build of a world-class data platform from the ground up? A high-growth, product-led tech company is looking for a Principal Software Engineer to lead the buildout of a modern, scalable data platform from the ground up. If you’re excited about solving massive data challenges and shaping the infrastructure that supports real-time analytics and AI/ML at scale, this role is for you. As the most senior technical IC on the Data Platform team, you'll partner with leadership across Engineering, Product, Security, and Compliance to design a low-latency, cloud-native data architecture using best-in-class tools like Kafka, Iceberg, ClickHouse, Tinybird, and Snowflake. Why this role? Join a growing Data Platform team Own the technical vision and architecture end-to-end Tackle petabyte-scale data challenges and real-time streaming use cases Work wi

Principal Software Engineer – Data Platform Location: San Francisco, CA (Remote OK – US only) Comp: $230K–$280K base + equity About the Role: We're looking for a Principal Software Engineer to help lead the development of a modern, scalable data platform from the ground up at a fast-growing, product-driven tech company. This is a high-impact role where you'd be the most senior individual contributor on the Data Platform team, helping to define the technical vision and build infrastructure that supports real-time analytics, machine learning, and large-scale data processing. You’ll be working closely with Engineering, Product, Security, and Compliance leadership to design a cloud-native data architecture using tools like Kafka, Iceberg, ClickHouse, Tinybird, and Snowflake. If building at scale, tackling complex streaming + batch challenges, and driving long-term architecture sounds exciting to you—this might be the right fit. What Makes This Opportunity Stand Out: Be a core part of a gro