Staff Engineer, Automations

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Who are we? 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.

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.

• 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.

• 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).

• 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.

• 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.

On-Call:
Yes — approximately every 6–8 weeks.

Travel:
If remote, quarterly travel to Nashville for onsite collaboration.

Mid-Senior level

Full-time

Engineering and Information Technology

Computer and Network Security