About the Role We’re looking for aStaff Backend Engineer (8+ years)to architect and lead backend systems that power our core AI data platforms. You’ll own large-scale distributed systems, drive backend design strategy, and work across product, infrastructure, and AI teams to deliver resilient, high-performance services. This is a high-impact IC role for engineers who enjoy solving complex systems problems, mentoring teams, and influencing architecture across multiple domains.What You’ll Do Architect and scale backend servicesthat support large-scale data ingestion, transformation, workflow orchestration, and secure delivery pipelines. Lead system design and technical roadmappingacross projects, ensuring platforms are resilient, extensible, and aligned with long-term goals. Mentor senior and mid-level engineers , leading by example in code quality, documentation, and system thinking. Own backend performance and reliability , introducing metrics-driven approaches to scale systems efficiently and reduce operational overhead. Collaborate across disciplines— AI researchers, frontend, data, DevOps, and product teams — to design APIs and services with clear boundaries and SLAs. Champion platform evolution , identifying and driving initiatives around observability, developer tooling, scalability, and security. Influence technical directionacross engineering by leading design reviews, promoting best practices, and contributing to internal engineering standards.Minimum Qualifications 7+ years of professional experience in backend software engineering, with at least 1+ years operating at a staff level or equivalent. Proven experience designing and scaling backend systems in production — with a strong grasp of distributed systems, microservices, and service-oriented architecture. Advanced proficiency in one or more backend languages from Go, Java, and Python. Good understanding of cloud-native architectures (AWS, GCP, or Azure), containerization (Docker), and orchestration (Kubernetes). Deep knowledge of data modeling, API design (REST/GraphQL/RPC), caching, SDKs, developer tooling and asynchronous systems (queues, event buses). Strong understanding of servers, database metrics, and observability. Experience implementing secure, observable, and testable systems. Familiarity with CI/CD pipelines, and deployment tooling (GitHub workflows, CircleCI, etc.). Excellent communication and collaboration skills; able to drive alignment across teams.Preferred Qualifications Experience working on data-intensive SaaS platforms, scalable backend services, or high-throughput data processing systems. Familiarity with event-driven and domain-driven design. Deep understanding of data structures, algorithms, system design, and architectural patterns. Background in leading technical initiatives across multiple teams and contributing to org-level architecture. Strong bias for action and ownership; comfortable making architectural decisions with long-term impact. Experience in mentoring up to SDE 3 engineers and participating in technical hiring loops.What You’ll Love / Benefits Opportunity to build backend systems that are foundational to the future of AI/GenAI. High agency environment where your technical leadership directly shapes product outcomes. Hybrid flexibility with a culture of deep ownership and collaboration. Work accessories and a great work location Competitive compensation, medical coverage (self & family), and surprise performance perks. Fun team culture with regular hackathons, offsites, and creative engineering challenges
Job Title
Staff Backend Engineer