Staff Engineer, Automations

About 360 Privacy

360 Privacy protects high-level individuals’ PII data online — helping individuals and businesses regain control of their digital footprint. Our platform automates data removal, monitors exposure, and provides visibility into where and how personal information is being shared.

We’re a mission-driven team of engineers, builders, and operators focused on privacy, security, and user trust.

About the Role

We’re looking for a Staff Software Engineer to help shape, scale, and evolve the automation engine at the core of our platform. This role sits on our Automation team and plays a pivotal part in designing agentic workflows, orchestrating complex distributed systems, and driving the technical direction of the automation stack.

You’ll architect event-driven systems, build high-quality automation pipelines, and expand our scraper-based workflows — all while mentoring engineers and raising the technical bar across the team.

This is a deeply technical Staff-level position that requires strong ownership, architectural thinking, and hands-on coding excellence in Python.

What You’ll Do

Take ownership of technical implementation and help define the long-term architectural direction of our automation platform.

Employ agentic workflows to design, implement, and scale highly reliable automations.

Build and maintain a resilient, observable, event-driven system that powers our automation engine.

Develop workflow orchestration patterns and contribute to system-wide best practices.

Mentor engineers, provide technical guidance, and help elevate peers across the Automation team.

Collaborate cross-functionally with SOC, Core, and Integrations to expand and refine automation capabilities.

Basic Requirements

Expert-level proficiency with Python and hands-on experience working in production-grade systems.

Strong communication and mentoring skills with a demonstrated ability to raise team capability.

Experience orchestrating workflows using modern orchestration tools or frameworks.

Deep understanding of event-driven system design and distributed architectures.

Experience working with public cloud providers (AWS, GCP, or Azure).

Preferred Qualifications

Experience working with agentic workflows or large-scale automation frameworks.

AWS experience

Experience with Prefect or similar orchestration tools (Airflow, Dagster, Temporal).

Kubernetes experience or familiarity with containerized deployments.

Experience using AI tooling to augment developer workflows.

Background in building scrapers at scale.

What Makes You a Great Fit

Low ego and a collaborative mindset.

Strong attention to detail and craftsmanship.

Curiosity and willingness to learn new tools and frameworks.

A generous approach to sharing knowledge and mentoring others.

A strong sense of responsibility when working with sensitive client data.

Additional Details

On-Call: Yes — approximately every 6–8 weeks.
Travel: If remote, quarterly travel to Nashville for onsite collaboration.

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