Staff Engineer

We are building the world’s best data observability platform to help companies excel at data-driven decision making. Today, half of a data team’s time is spent troubleshooting data quality issues. Sifflet is putting an end to that. Our solution allows data engineers and data consumers to visualize how data flows between their services, define data quality checks, and quickly find the root cause of any data anomaly. About the role As a Staff Engineer, you will ensure that the technical foundations of our product enable us to deliver on our long-term ambitions and help the team improve its practices. You will report directly to Sifflet’s Head of Engineering and work across teams depending on where you can have the most impact at any given moment. Your responsibilities will include: Technical leadership: build a technical roadmap that tackles technical debt, anticipate scaling needs, match future product requirements, and improve team velocity. Coaching: train engineers to strengthen team methodologies and elevate standards, perform design and code reviews. System design and implementation: lead the design and implementation of complex projects. This is a hands‑on role where you’ll be expected to contribute to product development. Our engineering team currently includes between 15 and 20 engineers, split into four feature teams. This is a challenging but rewarding role with significant impact on our product and engineering organization. Our stack Applications written either in Java 21 (Spring Boot 3) or Python 3 (FastAPI / Pytorch / …). Temporal as an orchestrator, MySQL on AWS RDS as the database. Frontend written in Typescript + VueJS. Product available as a SaaS on AWS or self‑hosted on AWS, GCP and Azure, running on Kubernetes clusters. Supporting services: Gitlab CI, Prometheus/Loki/Grafana, Sentry. Unique aspects of our stack: Applications have direct access to customer data warehouses, so security is extremely important and we invest more than typical startups in this domain. We use a single‑tenant architecture (one separate infrastructure stack per customer). We run multiple LLM and machine learning features in production. Benefits Remote friendly with offices in Paris; several team members are fully remote. Competitive salary and company equity. Building a genuinely great product that solves immediate issues for engineering teams and business users. Exposure to the intricacies of the modern data ecosystem, deepening knowledge of data engineering and the modern data stack. Culture that emphasises teamwork and efficient delivery to production. Enjoyable team environment. Qualifications 8+ years of experience designing and building non‑trivial systems and web applications. Experience coaching engineers and helping teams improve. Familiarity with the tech stack described above is desired but not required. Ability to work with multiple stakeholders, notably product managers and engineering team leads. Comfortable in a fast‑paced startup environment, quickly validating ideas and updating plans. Exposure to the modern data stack and data engineering workflows is a plus. Fluent in French (most engineering work is discussed in French) and English (all written communication is in English). None of the people who joined Sifflet perfectly matched the described requirements for the role. If you’re interested in this position but don’t tick all the boxes above, feel free to apply anyway Interview Process A first call with either Benoît (Head of Engineering) One coding interview and one system design interview (about 2 hours each) One call with a product manager (30 minutes) One call with Salma (CEO) At this point we generally know if we want to extend an offer, but we're happy to organize additional sessions so you can better know the team and the company. #J-18808-Ljbffr