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Full Stack Engineer
Full Stack EngineerOscar • San Francisco, CA, United States
Full Stack Engineer

Full Stack Engineer

Oscar • San Francisco, CA, United States
1 day ago
Job type
  • Full-time
  • Permanent
Job description

Oscar is working with a leading AI solution for Semiconductor Manufacturing Process Optimization organization that is looking for an experienced Full Stack Engineer to join their team.

As the Full Stack Engineer , you will be responsible for helping define the technical foundation of the product. In this role, you will design and strengthen the core platform capabilities that transform the solution from a functioning prototype into a robust, enterprise-grade system. You’ll influence architecture, shape system-level design, and partner closely with product, infrastructure, AI, and customer-facing teams to deliver a secure, resilient, multi-tenant platform capable of operating at global scale. This is an excellent opportunity for someone with deep experience in B2B SaaS or data / AI platforms who enjoys building the underlying systems enterprise customers depend on every day.

Key Responsibilities :

  • Architect, build, and evolve core platform components including authentication / authorization, RBAC, data residency, multi-tenancy, extensibility frameworks, system topology, auditing, entitlements, and licensing.
  • Develop scalable, extensible platform services and APIs that power integrations across partners, customers, and internal teams.
  • Design and maintain secure, distributed backend systems that support mission-critical enterprise workloads.
  • Lead modernization, refactoring, and hardening efforts to elevate the platform from early-stage to Tier-1 enterprise readiness.
  • Champion best-in-class security, compliance, auditability, reliability, and operational excellence.
  • Define and document lifecycle best practices, including upgrade paths, backward compatibility, deployment automation, tenant onboarding, configuration management, and HA / DR strategies.
  • Work with AI / ML teams to integrate platform capabilities with data pipelines, compute orchestration, and model runtime environments.

Qualifications :

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • 6+ years of experience building enterprise / B2B SaaS platforms or distributed backend systems.
  • Strong hands-on experience with backend development in Python, Go, Java, or similar languages.
  • Expertise with authentication / authorization frameworks, OAuth2 / OIDC / SAML, RBAC models, multi-tenant architectures, and secure API design.
  • Solid understanding of distributed systems, microservices, orchestration workflows, and messaging / event-driven architectures.
  • Proven track record of maturing platforms into enterprise-grade, highly reliable solutions.
  • Ability to drive clarity and progress in ambiguous, fast-moving environments.
  • Excellent problem-solving, analytical, and communication skills.
  • Nice to have Qualifications :

  • Experience building or operating data engineering or AI / ML platforms (e.g., Databricks, Cloudera, Snowflake).
  • Familiarity with enterprise deployment models including private cloud, VPC installations, hybrid environments, and on-prem orchestrations.
  • Exposure to compliance frameworks or regulated industries (SOC2, ISO 27001, semiconductor workflows).
  • Strong background in observability, reliability engineering, and operational tooling.
  • Experience building plugin or extensibility systems for enterprise platforms.
  • Recap :

  • Location : San Francisco, CA (Onsite)
  • Type : Full time Permanent
  • Rate : $180k - $200k annual salary dependent on relevant experience
  • If you think you're a good fit for the role, we'd love to hear from you!

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