Sr Software Engineer Enterprise SaaS Platform

Position Title : Senior Platform Engineer Enterprise SaaSLocation : San Francisco, CAType : On-siteDepartment : EngineeringAbout Multiscale AI : Multiscale AI provides advanced AI solutions for Semiconductor Manufacturing Process Optimization (SMPO). With offices in Atlanta, San Francisco, and Hyderabad, we help semiconductor manufacturers optimize fabs and achieve measurable results.The Role : As a Senior Software Engineer on the Enterprise Platform team, youll be responsible for designing and hardening the core platform capabilities that elevate our solution from working prototype to world-class enterprise software. You will drive architecture, lead system-level design, and collaborate across product, infra, AI, and customer teams to deliver a reliable, secure, multi-tenant platform that can operate on a global scale.This role is ideal for someone who has deep experience in B2B SaaS or data / AI platforms and enjoys building the plumbing that enterprise customers rely on every day.Key Responsibilities : Design, implement, and evolve the core platform architecture (authN / authZ, RBAC, residency, multi-tenancy, extensibility frameworks, system topology, auditing, entitlement management, licensing).Build and maintain extensible platform services and APIs enabling partner, customer, and internal integrations.Architect secure, scalable, distributed backend systems capable of supporting mission-critical enterprise workloads.Lead modernization and refactoring efforts to take the platform from early-stage to Tier-1 enterprise-grade readiness.Partner closely with product managers and customer-facing teams to convert requirements into robust, reusable platform components.Advocate for and enforce high standards around security, compliance, auditability, reliability, and operational excellence.Define best practices for platform lifecycle : upgrade paths, backward compatibility, deployment automation, tenant onboarding, configuration management, HA / DR llaborate with AI / ML teams to integrate platform services with data pipelines, compute orchestration, and model runtime environments.Debug high-complexity, cross-service issues across distributed systems and production environments.Mentor junior engineers and influence engineering culture, architecture decisions, and long-term platform strategy.Qualifications : Bachelors or Masters degree in Computer Science, Engineering, or related field.6+ years of professional experience building enterprise / B2B SaaS platforms or distributed backend systems.Deep hands-on experience building backend services using Python, Go, Java, or similar languages.Expertise in auth frameworks, OAuth2 / OIDC / SAML, RBAC models, multi-tenant architecture, and secure API design.Strong knowledge of distributed systems, microservices, data orchestration workflows, and messaging / event systems.Demonstrated ability to take a good platform and mature it into a Tier-1, enterprise-ready fort navigating early-stage ambiguity while still driving toward high-quality, scalable solutions.Excellent analytical, problem-solving, and cross-functional communication skills. Preferred Skills : Experience building or operating data engineering or AI / ML platforms (Databricks, Cloudera, Snowflake, etc.).Experience with enterprise deployment models (private cloud, VPC installation, hybrid, and on-prem orchestrations).Familiarity with compliance or regulated environments (SOC2, ISO 27001, semiconductor manufacturing workflows).Strong background in observability, service reliability, and operational tooling.Experience designing plugin / extensibility systems for enterprise platforms.Benefits : Competitive salary and equity optionsComprehensive health, dental, and vision coverageFlexible paid time offOpportunity to work with a cutting-edge team in AI and semiconductor technologyMultiscale AI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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