Software Engineer - Data Engineering

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.

• 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.

• 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 will build monitoring, alerting, and debugging into your designs so we catch correctness and freshness issues early and drive down time to detect and resolve.
• You will design and implement data ingestion pipelines that pull from many sources into our search and analytics platform (Quickwit, with Elasticsearch in our history) for real-time analytics, search, and visualization, optimized for scalability, reliability, and fault tolerance under high volume and velocity.
• You will operate as a peer to Architecture and to the AI/ML and product teams, partnering at the design phase of high-stakes systems rather than reviewing them the week before launch, delivering format-appropriate data for business intelligence initiatives, and integrating pipelines into the portal so end users get seamless access and visualization.
• You will act as a multiplier for the Data team: mentor and uplevel engineers through pairing, design partnership, and code review, with measurable improvement in their autonomy, and lead thorough design reviews.
• You will participate in the team's on-call rotation, resolve…