Full Stack EngineerOscar • San Francisco, CA, United States
Full Stack Engineer
Oscar • San Francisco, CA, United States
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job_description.job_card.job_descriptionBachelor’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. 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. Location : San Francisco, CA (Onsite) Type : Full time Permanent Rate : $180k - $200k annual salary dependent on relevant experience
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 :
Nice to have Qualifications :
Recap :
If you think you're a good fit for the role, we'd love to hear from you!
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Stack Engineer • San Francisco, CA, United States
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