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Staff Software Engineer, Data Engineering About Us Todyl puts world-class networking and security within reach of every business. The Todyl Security Platform converges SASE, SIEM, Endpoint Security, GRC, MXDR, and more into a cloud-native, single-agent platform built for MSPs, MSSPs, and mid-market IT professionals. We are on a mission to protect small and medium-sized businesses from ever-changing cyber threats, and we are a fast-paced team that cares deeply about carrying out that mission together. About the Role The Data team at Todyl owns the systems that turn high-volume security telemetry into something the rest of the platform and our partners can act on. We design and operate the ingestion pipelines, storage, and search and analytics layer that power detection, investigation, and the business intelligence our AI/ML and product teams build on. Our work is judged by how reliably and quickly data lands, stays correct, and stays queryable at scale, not by how many tickets we close. This is a staff-level individual contributor role and the technical anchor for the Data team. You will set the technical direction for our data ingestion and storage systems, own the most complex and ambiguous initiatives end-to-end, and operate as a multiplier who raises the capability of the whole team. You will work as a peer to Architecture and to the AI/ML and product teams on decisions that shape how Todyl handles data over the next several years, and you will be the person other engineers go to when a problem is too hard or too ambiguous for anyone else to resolve. This is a technical leadership role, not a people-management one. In this role, we are looking for someone who: - Operates as a technical authority whose work impacts the entire Data team and the teams that depend on it. Owns complex, ambiguous initiatives and sets technical direction, thinking 12 months and more ahead. - Has a strong sense of ownership and stays with the work through stabilization, not just through a successful deploy. They own systems through their full lifecycle and don't leave work at 90 percent. - Acts as a multiplier: unblocks others, establishes best practices and architectural patterns that get adopted across teams, and raises the capability of the team through mentorship and knowledge sharing. - Designs for multi-year horizons and graceful degradation, anticipates scaling challenges before they arise, and considers total cost of ownership and operational simplicity in their designs. - Debugs cross-system issues that others cannot resolve, and stays current on industry trends while evaluating their relevance to Todyl's needs. - Communicates technical decisions and trade-offs clearly to engineers, engineering leadership, and non-technical stakeholders, including risks and mitigation plans to leadership proactively, and is comfortable saying no or pushing back constructively when it matters. - Quantifies the business impact of their technical work, makes decisions with business priorities explicitly in mind, and advocates for the team's technical needs. - Actively uses AI tooling in their day-to-day work and influences how the team adopts AI patterns safely. - Thrives in a fast-paced startup environment and is comfortable adapting existing systems to fast-changing requirements. What you will do: - You will set the technical direction for Todyl's data ingestion and storage systems, owning complex, multi-quarter initiatives from ambiguous problem statement through stabilization, and breaking that ambiguity into achievable milestones. - You will architect and implement scalable, reliable data storage and ingestion solutions, evaluate complex trade-offs across performance, scale, security, and maintainability, and present those trade-offs to leadership when they affect direction. - You will establish the architectural principles, patterns, and quality and observability standards that the rest of the Data team adopts, and you wi