Job Title: Senior Data & Systems Engineer (Rust)

Location: Remote (US-based)

Compensation: $150,000 – $200,000 + bonus + stock options

A mission-driven technology company is seeking a Senior Data & Systems Engineer to help scale and optimize one of the largest facial recognition data systems in the world. Since 2018, the company has built a robust database containing tens of billions of images and metadata — serving law enforcement and government agencies globally.

At the heart of this company is a deep focus on high-performance data engineering — and they’re looking for a systems-level thinker who thrives on handling complex datasets at scale.

What You’ll Be Doing:

1. Architecting and maintaining high-throughput, low-latency systems for ingesting and querying massive volumes of image and video metadata.
2. Writing performant, reliable code in Rust (and occasionally C++ or Python) to improve data processing pipelines.
3. Optimizing systems for memory usage, database query performance, and efficient data retrieval.
4. Collaborating with other senior engineers to solve scaling challenges across storage, indexing, and distributed systems.
5. Contributing to both internal tools and relevant open-source projects, where aligned with business goals.

What They’re Looking For:

1. Strong proficiency in Rust, or similar systems programming languages like C++.
2. Proven experience building and scaling data-intensive systems — especially with high-performance databases and real-world production workloads.
3. Solid grasp of systems-level computing fundamentals (e.g. memory management, threading, IO optimization).
4. A thoughtful contributor to open-source or internal tooling, with an ability to align engineering effort with practical outcomes.
5. Comfortable taking ownership and working independently without sacrificing collaboration.

Bonus Points:

1. Familiarity with facial recognition, multimedia indexing, or metadata-heavy platforms.
2. Contributions to open-source Rust or Python projects.
3. Experience working with law enforcement, public safety, or related sectors.

Why Join:

1. Work on one of the largest visual data infrastructures in the world.
2. Make a tangible real-world impact by building tools used to solve crimes and support public safety.
3. Remote-first culture with flexible hours — focused on ownership, not overwork.
4. Competitive compensation with annual bonus reviews and stock options.
5. Access to conferences, open-source initiatives, and continuous growth opportunities.

Interview Process:

1. 30-minute call with hiring manager
2. 60-minute online technical interview
3. In-person session in a mutually convenient location

If you're a systems engineer who thrives on scale, performance, and purpose, this is your chance to work with cutting-edge data infrastructure — while shaping the future of safety tech.

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