Role Description The Virtual Expert Platform (VEP) team sits at the center of how Intuit connects customers to trusted guidance through Human Intelligence (HI), AI-powered experiences, and deeply integrated AI + HI workflows. VEP powers a multi-billion-dollar Services business, enhances Customer Success, and enables Sales and Growth motions by connecting prospects and customers to the right expertise at the right time. We are seeking a Staff Software Developer with a strong passion for building successful applications, services, and APIs that deliver big value to customers. You are comfortable in dealing with ambiguity and changes, love to take initiative, and have a bias towards action. You are not afraid to tackle difficult problems and dive into new technologies. You are highly motivated and a creative problem solver with a passion for innovation. - Drive significant technology initiatives end-to-end and across multiple layers of architecture. - Architect and develop scalable applications or systems. - Drive the design and implementation of durable software solutions to solve critical customer problems that are scalable, secure, easy to maintain, and interact with numerous other systems. - Provide recommendations and best practices for application development, platform development, and developer tools. - Actively stay abreast of industry best practices, share learnings, and experiment and apply cutting-edge technologies. - Provide/inspire innovations that fuel the growth of Intuit as a whole and generate creative ideas for emerging business needs. - Work with global, cross-functional teams across time zones. - Communicate clearly, succinctly, and persuasively to all levels of employees, customers, and management (including executives). - Proactively identify opportunities to enhance software applications with AI technology. - Coach and mentor junior engineers on best practices of software engineering, leveraging AI to enhance applications, and building their technical expertise to ensure efficient and effective outcomes. Qualifications - BS/MS in Computer Science or related area or equivalent experience. - 7+ years of total experience delivering enterprise-class applications. - Solid foundation in writing scalable application code following best practices of accessibility, internationalization, and instrumentation. - Solid knowledge of algorithms and design patterns. - Proficiency in mid-tier languages like Java. - Experience with test automation: TDD, unit/integration/functional testing. - Experience with Relational Database Design and Implementation. - Understanding of and an interest in building CI/CD pipelines. - Practical experience in developing applications using microservices, container technologies, container management systems such as Kubernetes, Mesos, etc. - Strong experience with Databases design (SQL, NoSQL) and analytics. - Experience building and deploying applications and services into cloud environments. - Excellent communication skills: Demonstrated ability to explain complex technical issues to both technical and non-technical audiences. - Skilled in evaluating and monitoring the performance of AI technology in production and making necessary adjustments to ensure optimal application performance. - Possesses an in-depth understanding of AI integration and can lead the integration process effectively, while coaching junior engineers on how to leverage AI. - Ability to work collaboratively with cross-functional teams, including data scientists, product managers, and software engineers. Benefits - Competitive compensation package with a strong pay for performance rewards approach. - May be eligible for a cash bonus, equity rewards, and benefits, in accordance with applicable plans and programs. - Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. - Regular comparisons across categories of ethnicity and gender to drive ongoing fair pay for employees.

Role Description We're supporting a remote-first team responsible for a comprehensive open-source developer platform that has processed over $5 billion in transaction volume. A pioneer in their space, their unified API and SDK layer simplifies the developer experience and underpins games and apps used by millions. Built on scalable, fault-tolerant services, the platform delivers indexing, relaying, and analytics pipelines engineered for millions of requests per minute. Now, backed by top-tier investors and fueled by continued growth, they are bolstering their team to build the scalability needed to keep pace with demand. As a key member of the platform engineering team, you will design, build, and optimize Go-based services that power core infrastructure: - Own core infrastructure services: - Architect, develop, and maintain Go-based services for data indexing, transaction relaying, metadata aggregation, and marketplace APIs. - Extend and evolve the platform toolchain for future extensibility. - Scalable, fault-tolerant design: - Design and implement services with high availability and resilience to handle millions of requests per minute. - Build robust architectural foundations so future engineers can build on your work with ease. - High-throughput optimization: - Tune databases and service configurations to support surging workloads and complex queries. - Cross-functional collaboration: - Partner with SDK, R&D, and product teams to define clear service interfaces. - Support internal teams consuming platform APIs. - Contribute to documentation and developer tooling used by clients. - Maintenance & innovation: - Rotate between refactoring, maintenance, and new feature development to balance platform stability with rapid delivery of capabilities. - Open-source contributions: - Contribute to shared libraries and tooling used across the ecosystem. Qualifications - 5+ years of software engineering experience, including at least 3 years building and operating Go services in production. - Deep expertise in designing and maintaining production-grade backend services at scale. - Experience working with distributed systems. - Practical experience with large-scale relational databases (e.g. Postgres). - Hands-on experience with cloud infrastructure providers such as AWS, GCP, or Azure. - A growth mindset; you actively seek out new technologies and enjoy solving complex problems. - Excellent communication skills. Requirements - Familiarity with blockchain data flows or Web3 development tooling is a bonus. - Contributed to open-source Go libraries or large-scale projects is a bonus. - Experience mentoring junior engineers or conducting thorough code reviews is a bonus. - Worked with container orchestration (Docker, Kubernetes) in production environments is a bonus.

• Configure and maintain enterprise AI governance capabilities, standardizing workflows, controls, and evidence practices to ensure consistent execution across teams and business units. • Design and maintain scalable integrations between AI governance capabilities and core enterprise systems. • Establish standardized data exchange and event-driven patterns that automate assessments, approvals, evidence capture, and reporting. • Continuously reduce manual effort and improve repeatability, reliability, and audit readiness. • Enable governance metrics, analytics, and automated reporting processes. • Implement data quality and traceability practices to ensure accuracy, consistency, and audit readiness. • Translate Responsible AI, privacy, and security policies into operational controls embedded in processes and platform configurations. • Maintain a central control library and supporting artifacts in partnership with compliance stakeholders. • Develop enablement materials, training, and onboarding guides. • Provide hands-on support and office hours to drive adherence to governance workflows and continuous improvement in execution. • Coordinate with platform vendors for configuration guidance, support, and capability enablement. • Evaluate functionality against enterprise requirements to keep solutions vendor-neutral and outcomes-focused.

• Help operate and modernize one of the world's largest industrial edge computing deployments. • Work with a fleet of more than **100,000 connected edge devices** running Docker-based applications in challenging real-world environments. • Solve complex operational problems at scale. • Collaborate directly with enterprise customers and engineering teams.