Senior Software Engineer, Data Engineering

Todyl, Inc. Atlanta, Georgia, United States

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.

Our platform ingests terabytes of security telemetry a day through a Kafka-compatible streaming layer into Quickwit and Click House. This is a data infrastructure role. If your data experience is mostly an application database behind a product, this role is probably not the right fit.

This is a senior individual contributor role on a small team. You will work with our Staff data engineer, who sets the technical direction for the team. You will own significant parts of our ingestion and storage systems end to end, become the go-to expert in your area of the platform, and take projects from an ambiguous problem statement to a system that runs quietly in production.

The team is small, so what you build matters immediately and visibly. You will have real influence over how we solve problems, and room to grow into broader technical scope as the team grows.

In this role, we are looking for someone who:

• Is recognized as the go-to expert in their technical domain, designs complex features with minimal rework, and debugs the hardest issues their team faces.
• Has a strong sense of ownership and stays with the work through stabilization, not just through a successful deploy. They own what they build through its full lifecycle and don't leave it at 90 percent or abandon it after the initial delivery.
• Makes sound architecture decisions for multi-sprint work, evaluates several approaches before choosing a direction, and explicitly balances technical debt against delivery speed with clear reasoning.
• Designs for failure modes and graceful degradation, anticipates significant scaling needs, and builds monitoring, alerting, and debugging tools into their designs rather than adding them later.
• Anticipates problems before they happen and proposes solutions proactively, thinking roughly 6 months ahead.
• Mentors other engineers with real, visible improvement in their skills, and leads thorough design reviews.
• Communicates technical concepts clearly to both engineers and non-technical stakeholders, and quantifies the business impact of their technical work.
• Actively uses AI tooling in their day-to-day work.
• Thrives in a fast-paced startup environment and is comfortable adapting existing systems to fast-changing requirements.

What you will do:

• You will design and implement data ingestion pipelines that pull from many sources through Kafka-compatible streaming into Quickwit and Click House for real-time analytics, search, and visualization, optimized for scalability, reliability, and fault tolerance under high volume and velocity.
• You will own complex features and projects end to end, from an ambiguous problem statement through to long-term maintenance, breaking that ambiguity into…