Role Description We are looking for a Coupa Integration Engineer to design, develop, and maintain integrations between Coupa BSM (Business Spend Management) and the broader enterprise application landscape. The role focuses on Coupa Integration Cloud, API-based integrations, supplier onboarding flows, and data synchronization between Coupa and ERP, finance, HR, and payment systems. The ideal candidate has shipped meaningful Coupa integrations in production, understands the source-to-pay process end-to-end, and applies disciplined integration engineering practices. In this role you will work closely with cross-functional partners — product, design, engineering, operations, and business stakeholders — to translate ambiguous requirements into well-engineered solutions, and will be expected to raise the bar through code review, design review, and mentorship of more junior engineers. The successful candidate brings strong engineering discipline, a clear communication style, and a track record of shipping meaningful work that holds up well in production. Key Responsibilities - Design and develop integrations between Coupa and enterprise systems including ERP, finance, payroll, and supplier networks. - Build integrations using Coupa Integration Cloud, Coupa Open APIs, and middleware platforms such as MuleSoft, Boomi, or Workato. - Implement supplier onboarding integrations including supplier master, contracts, and catalog data flows. - Develop integrations supporting requisition, purchase order, invoice, and payment processes. - Implement chart-of-accounts, expense category, and lookup data synchronization between Coupa and source systems. - Build user, role, and approval-hierarchy synchronization between Coupa and identity systems. - Design error handling, retry, and reconciliation strategies for integration flows. - Implement integration security across Coupa endpoints, including OAuth flows, SSO patterns, and certificate-based authentication, ensuring that integration credentials follow least-privilege and lifecycle best practices. - Profile and optimize integration performance and batch sizing for high-volume scenarios, applying systematic measurement, targeted improvements, and data-driven validation to deliver quantifiable gains in throughput, latency, or resource efficiency. - Participate in Coupa release planning, regression testing, and platform upgrades. - Collaborate with procurement, finance, and IT stakeholders on integration requirements. - Maintain comprehensive, current technical documentation — including architecture diagrams, design decisions, configuration references, runbooks, and operational procedures — so that the system remains supportable, auditable, and easy to onboard new engineers onto over time. - Support production incidents related to Coupa integrations and drive durable fixes. - Stay current with Coupa releases and BSM platform evolution, regularly review release notes and community discussions, and translate noteworthy advances into concrete recommendations and adoption proposals for the team. Qualifications - Bachelor’s degree in Computer Science, Information Systems, or a related field. - Five or more years of integration engineering experience. - Hands-on experience integrating Coupa with enterprise systems. - Strong understanding of Coupa Integration Cloud and Coupa Open APIs. - Experience with at least one major iPaaS such as MuleSoft, Boomi, or Workato. - Strong understanding of source-to-pay and procure-to-pay processes. - Solid SQL and data transformation skills. - Experience with REST/SOAP APIs, OAuth, and integration security. - Strong troubleshooting and analytical skills. - Excellent communication and stakeholder management skills. Preferred Qualifications - Coupa certifications. - Experience integrating Coupa with SAP, Oracle, or NetSuite ERP systems. - Familiarity with Coupa Pay, Coupa Risk Assess, or Coupa Treasury. - Exposure to supplier-network integrations. - Experience supporting global BSM rollouts. How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to [email protected] or contact us at (908) 650-6699. Learn more about Bright Vision Technologies at www.bvteck.com .

Bloom Credit is seeking a Senior Software Engineer to join its Product Engineering team, who can design, develop, test and deploy golang and python microservices that power our innovative B2B consumer-focused and developer-friendly financial service platform. Software engineers work in cross-functional features with 4-6 other engineers, and collaborate with other feature development teams as well as our Product and Platform teams. The ideal candidate for this position is an experienced software engineer who has good experience with distributed systems, and is passionate about APIs, developer experience, and SaaS platforms. Prior experience working in FinTech or other regulated industry is a major plus. Initially this individual will take on many of the client and prospect onboarding responsibilities, acting as a solutions engineer and product evangelist. In this capacity, the Senior Software Engineer will have broad latitude to create or update documentation, develop automations and scripts for our control plane, and propose / develop product enhancements that reduce friction for our client’s developers. After this initial period, the role will transition into a standard product development engineering role or product team lead role depending on the individual’s prior experience and interests. Job Requirements - 5+ years of experience in software engineering roles - Strong expertise in golang and/or python - Prior experience with microservice architecture, and design best practices - Prior experience with cloud services, kubernetes, and containerization - Strong background in SQL and No-SQL databases (Postgres, MySQL, DynamoDB, etc.) - Ability to learn and work autonomously, taking an idea and seeing it through to implementation with minimal supervision - Excellent troubleshooting instincts, including proficiency with SQL, and monitoring platforms such as Data Dog, Rollbar, Logz, etc. - Strong working knowledge of reliability, scalability, performance, and security practices for large-scale SaaS products

• Demonstrates understanding of goals and objectives and customer business needs • Develops design recommendations and documents to facilitate in-house development projects based on architectural and functional specifications provided by team • Applies modeling techniques and enterprise data standards to highly complex business requirements • Assists Team Lead and/or Solution Architects to perform initial design, problem solving and reviews of software architecture appropriate to strategic direction • Estimates development work and ensures targets are met by achieving budget goals • Documents all work to the standards and practices provided by the Team Lead

Senior Software Engineer - AI Applications Work Location: Pleasanton, California Work Arrangement: 100% Remote Full-Time Job Description Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $3B in revenue in our last fiscal year with extensive growth potential ahead. At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company - we made history in 2021 by becoming a public benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors. As a Work Anywhere company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment. Join us in transforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities. The Role This role is responsible for architecting, building, and validating the next generation of Nitro AI Agents. We are looking for a seasoned engineer who lives at the intersection of robust software engineering and cutting-edge AI. You will go beyond simple prompting to design complex agentic workflows, get insights from large-scale repositories, and ensure the reliability of these systems within a mission-critical life sciences environment. You will enhance and add to existing Java-based back-end systems. What You'll Do - Agentic Architecture: Proven experience building scalable AI orchestration layers that drive operational workflows, ranging from high-precision Text-to-SQL agents to complex multi-agent systems capable of tool-calling, event orchestration, and autonomous self-correction - Model Strategy: Choose and configure the optimal LLMs based on cost, reasoning depth, and latency - Hybrid Data Systems: Build scalable bridges between Relational Databases (Postgres/Java) and Vector Stores, using metadata strategies like PageIndex to ensure data stays synchronized and searchable - Text-to-SQL Agents: Develop high-precision agents that translate natural language into complex SQL, featuring self-correction loops to handle large enterprise schemas accurately. Choose appropriate RAG approach for semantic embedding and retrieval - Automated Validation: Develop, implement, and maintain scalable automated evaluations to ensure agent behavior remains consistent across model updates and feature releases Requirements - Agentic Workflow Mastery: 2+ years of proven experience building scalable AI orchestration layers that drive workflows, ranging from precision Text-to-SQL agents to complex multi-agent systems capable of tool-calling, event orchestration, and autonomous self-correction - Scalable backend systems for AI orchestration: 7+ years of experience building and deploying distributed systems that handle high concurrency, rate-limiting, and asynchronous task queues using Java, Spring, and Python. Optimize AI orchestration for performance, scalability, and efficiency - RAG & Vector Expertise: Expert at building high-precision RAG systems across structured relational data and unstructured documents, utilizing vector databases to enable accurate retrieval across large-scale enterprise datasets - Automated Evaluation: Experience building pipelines to measure complex AI agent performance using key metrics like task success rate, accuracy, and output quality - AI Trends: Stay updated on the latest AI and machine learning advancements, research papers, and tools, incorporating them into AI development projects - Life Sciences Experience (nice to have): Familiarity with the unique data privacy and regulatory requirements of the life sciences industry - Mentorship: Demonstrated ability to mentor team members and contribute to a positive and high-performing team environment - Education: Bachelor's degree in Computer Science, Data Science, Machine Learning, or a related technical field - Culture: High work ethic, high integrity, and a "do the right thing" mindset - Applicants must have the unrestricted right to work in the United States. Veeva will not provide sponsorship at this time Perks & Benefits - Medical, dental, vision, and basic life insurance - Flexible PTO and company paid holidays - Retirement programs - 1% charitable giving program Compensation - Base pay: $110,000 - $270,000 - The salary range listed here has been provided to comply with local regulations and represents a potential base salary range for this role. Please note that actual salaries may vary within the range above or below, depending on experience and location. We look at compensation for each individual and base our offer on your unique qualifications, experience, and expected contributions. This position may also be eligible for other types of compensation in addition to base salary, such as variable bonus and/or stock bonus. #LI-Remote #LI-MidSenior Veeva's headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world. Veeva is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances. If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us at [email protected]. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.