Title: Software Engineer – Platform/Infrastructure Location: San Francisco, CA|Hybrid Job Description: Who is Recruiting from Scratch: Recruiting from Scratch is a premier talent firm that focuses on placing the best product managers, software, and hardware talent at innovative companies. Our team is 100% remote and we work with teams across the United States to help them hire. Software Engineer – Platform / Infrastructure Location: San Francisco, CA (Hybrid) Company Stage of Funding: Series A/B ($30M+ raised) Office Type: Hybrid Salary: $160,000 – $225,000 Visa: No sponsorship Company Description Our client is building next-generation cybersecurity infrastructure focused on human risk intelligence. Their AI-native platform identifies behavioral security risks and automatically deploys interventions that improve enterprise security posture at scale. Backed by leading venture investors and founded by proven operators from category-defining security companies, they are rapidly scaling a highly technical engineering organization. This is an opportunity to build the infrastructure backbone powering large-scale data ingestion, processing, and real-time decisioning systems. What You Will Do - Design and build scalable backend infrastructure systems - Build and operate real-time and batch data processing systems - Develop platform services supporting high-throughput data workflows - Build compute, storage, orchestration, and platform tooling - Improve system reliability, observability, and operational performance - Collaborate closely with data and ML teams - Support production data ingestion and serving infrastructure - Optimize systems for scalability and cloud efficiency - Build internal abstractions and developer tooling - Drive infrastructure consistency and engineering velocity - Contribute to secure, compliant infrastructure design - Help scale platform architecture as product adoption accelerates Ideal Candidate Background - 4–8 years of backend/platform engineering experience - Strong distributed systems fundamentals - Production infrastructure ownership - Real-time systems experience - Data pipeline / ETL systems experience - Cloud infrastructure expertise (AWS/GCP) - Kafka / streaming systems exposure - Strong systems design capability - Platform scalability experience - Infrastructure reliability mindset Strong Signals - High-growth startup platform engineering - Data infrastructure ownership - Real-time event-driven systems - Backend platform scaling experience - Strong observability / reliability practices - Cross-functional collaboration with ML/data teams - Cloud cost optimization experience - Internal tooling development - Secure infrastructure design - Infrastructure abstraction building - Fast-moving engineering environments - High autonomy Compensation and Benefits - Base salary: $160,000 – $225,000 - Competitive equity - Health / dental / vision coverage - Flexible PTO - High ownership - Technical autonomy - Fast-moving engineering culture - Opportunity to build foundational infrastructure Why Join This role offers the opportunity to build critical platform systems at the foundation of an AI-native cybersecurity company. You’ll work on the infrastructure powering real-time behavioral intelligence products while shaping how the company scales its backend systems for enterprise growth. For engineers who love distributed systems, data infrastructure, and building robust production platforms, this is an exceptional early-stage opportunity.

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.