Staff Software Engineer - 100M Series A - Multi-City + REMOTE

Senior Staff Engineers — Multiple Tracks Series A ($120M) | AI Data Platform About Us We are building the data infrastructure that powers the next generation of AI systems. Having recently closed a $120 Million Series A, we’re scaling our team rapidly across engineering disciplines. We’re looking for Staff-level engineers who can set technical direction, mentor teams, and operate with high ownership in a fast-moving, high-leverage environment. We’re hiring Staff Engineers across five tracks: Fullstack, Infrastructure, ML/AI, DevOps, and Security . Below are role‑specific descriptions — candidates may indicate which track(s) best fit their background. What You’ll Do (All Tracks) Operate as a technical leader: architect systems end to end, set technical direction for your area, and ensure delivery of reliable, scalable, enterprise-grade systems. Partner cross-functionally with product, design, and other engineering teams to shape roadmap and technical strategy. Mentor and uplevel engineers across the org; help establish engineering culture, standards, and best practices. Drive projects from design through production, balancing speed with long-term maintainability. Contribute to a high-trust, high-autonomy environment — we manage our own infrastructure as code and expect deep ownership of the systems you build. Track‑Specific Responsibilities Staff Fullstack Engineer Design and build user-facing applications and the APIs/services that power them. Own features end to end — from data model and backend services to frontend UX. Collaborate closely with design and product to deliver polished, performant experiences. Establish patterns for frontend architecture, component libraries, and API design. Staff Infrastructure / Data Platform Engineer Architect and lead core data platform components across ingestion, processing, storage, and serving layers at petabyte scale. Design event-driven and batch data pipelines (e.g., Kafka, Spark, Airflow, dbt) supporting AI training and inference workloads. Implement data governance, lineage, quality, and observability frameworks for audit-ready, compliance-grade pipelines. Optimize for cost, performance, and reliability across multi-tenant cloud environments (AWS/GCP). Staff ML/AI Engineer Design and build infrastructure and tooling that supports model training, fine-tuning, evaluation, and serving at scale. Partner with research and product teams to productionize ML/LLM-based features (e.g., intelligent ranking, automated analysis pipelines). Build robust feedback loops between model outputs and data pipelines to support continuous improvement. Evaluate and integrate new ML frameworks, vector stores, and serving infrastructure as the field evolves. Staff DevOps Engineer Own CI/CD pipelines, deployment infrastructure, and developer tooling across the org (e.g., Kubernetes, Argo, Terraform). Build and maintain monitoring, alerting, and incident response systems (e.g., Datadog, PagerDuty). Drive infrastructure‑as‑code practices and improve developer velocity through tooling and automation. Partner with all engineering teams to ensure scalable, observable, and cost‑efficient infrastructure. Staff Security Engineer Define and implement security architecture across cloud infrastructure, data pipelines, and applications. Lead efforts on data privacy, compliance (e.g., SOC 2, HIPAA — relevant given sensitive data handling), and access control. Conduct security reviews, threat modeling, and incident response for production systems. Partner with engineering teams to embed security best practices into the development lifecycle. What We’re Looking For 8+ years of professional software engineering experience, with demonstrated Staff-level scope (architecture ownership, cross-team influence, mentorship). Track record of building and scaling systems in production at meaningful scale (data volume, traffic, or org size). Strong communication skills — able to drive technical decisions across teams and articulate tradeoffs to both technical and non-technical stakeholders. Comfort operating in ambiguity at an early-stage, fast-growing company. Track‑specific technical depth (e.g., distributed data systems for Infra; ML serving/training infra for ML/AI; Kubernetes/IaC for DevOps; cloud security frameworks for Security; modern frontend/backend stacks for Fullstack). Nice to Have Experience in regulated industries (healthcare, finance) and familiarity with compliance-grade data handling. Experience scaling teams — hiring, mentoring, and establishing engineering culture at an early-stage company. Familiarity with LLM-based tooling and AI-assisted data workflows. What We Offer Competitive salary and equity in a well-funded, high-growth Series A company. High-impact role with direct influence on technical direction and company trajectory. Offices in San Francisco and New York City, with remote work available for most roles. #J-18808-Ljbffr Incendia Partners