Jobs › Companies › Jacobian › Senior Software Engineer, Backend Platform

Über diese Senior Software Engineer, Backend Platform Stelle bei Jacobian

Jacobian · Hybrid · Pittsburgh, Pennsylvania, United States

Join our engineering team and help build the backend platform that powers Jacobian's AI-driven radiology reporting solution. In this role, you'll design and develop the cloud-native backend services and APIs that product teams build on - establishing the patterns, boundaries, and foundations that make our platform secure, observable, and scalable.

You'll work across backend engineering, data architecture, security, and cloud runtime - contributing to both greenfield platform work and the ongoing transition from legacy systems to cloud-native infrastructure.

This is a hybrid role based out of our Pittsburgh, PA office, with an expectation of 2–3 days onsite per week.

What you'll do

  • Design and build foundational backend services and APIs using Java and Spring Boot, enabling secure and configurable product workloads in the cloud
  • Define clean API contracts, versioning strategies, and service boundaries to reduce coupling across systems
  • Design schemas and data access patterns using PostgreSQL, and apply object storage (S3 / MinIO) for large payloads, exports, and artifacts
  • Implement authentication and authorization using OAuth2 / OIDC, and define RBAC and entitlement models at the service level
  • Integrate with enterprise identity providers and ensure secure service-to-service credential handling
  • Build services intended to run on Kubernetes, including readiness/liveness probes, scaling behavior, and resource profiles; collaborate on deployment manifests and Helm charts
  • Lead Architecture Decision Records (ADRs) for platform and cross-team decisions, and review designs with a long-term systems perspective
  • Partner with frontend, reliability, CI/CD, and security engineers to help product teams adopt platform patterns safely and consistently
  • Evaluate and apply NoSQL systems where appropriate for high-scale reads, events, or specialized workloads

Requirements

What you bring

  • Strong backend engineering experience in Java with hands-on Spring / Spring Boot
  • Solid fundamentals with relational databases, preferably PostgreSQL
  • Experience with object storage systems such as S3 or MinIO
  • Solid understanding of OAuth2 / OpenID Connect and service-to-service authentication
  • Experience designing or operating multi-tenant SaaS systems
  • Experience deploying and operating services on Kubernetes
  • A track record of supporting and improving production systems

Nice to have

  • Experience with NoSQL databases such as Cassandra or MongoDB
  • Experience with configuration or control-plane systems
  • Familiarity with observability tooling across metrics, logs, and tracing
  • Prior exposure to architectural governance or ADRs

Benefits

  • Join a fast-growing healthcare technology company shaping the future of AI in radiology
  • Work on meaningful products that improve radiology workflows and support better patient outcomes worldwide
  • Be part of a mission-driven team that values trust, quality, collaboration, and innovation
  • Enjoy flexible working hours and a hybrid work arrangement
  • Competitive compensation and benefits package, including comprehensive health insurance, and a 401(k) with employer contributions
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Bei Jacobian bewerben

Über Jacobian

Jacobian is a newly formed company born from the union of Smart Reporting and Fluency for Imaging - two pioneers in diagnostic reporting technology. Built with significant investment and a singular focus on diagnostic reporting, Jacobian combines best-in-class speech recognition with advanced AI, structured reporting, and multilingual workflow automation. Its goal is to reduce cognitive load, improve consistency, and support physicians in delivering diagnostic excellence at scale. With over 80 million exams processed annually and a leadership team rooted in diagnostic practice and pioneering technology innovation, Jacobian is committed to evolving seamlessly integrated, responsible AI that amplifies physician expertise without disruption. The name is inspired by the Jacobian matrix in mathematics. Fundamental to the development of AI, it’s a concept that describes how small changes in multiple variables transform into large-scale outcomes

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