Staff Software Engineer, Automations

Staff Software Engineer Automations Team Location: Hybrid, Nashville TN (remote candidates welcome with quarterly travel to Nashville) Compensation: $180,000 to $210,000 base salary + bonus + equity Eligibility: Permanent U.S. residents only 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 join our Automations team to help shape, scale, and evolve the automation engine at the core of our platform. This role 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. 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. Design, implement, and scale highly reliable automations using agentic workflows and AI tooling, including code generation, automated review, and agentic development patterns, while helping establish team norms around AI-augmented engineering. 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. What We're Looking For Expert-level proficiency with Python and hands-on experience working in production-grade systems (recent experience is a must). Demonstrated experience using AI tools to accelerate engineering work, whether through AI-assisted development, prompt-driven automation, or integrating LLMs into production 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. Deep, production-level AWS experience across services like Lambda, ECS/EKS, SQS, SNS, EventBridge, and CloudWatch in the context of event-driven and automation workloads. This role requires advanced proficiency in English to effectively communicate complex information with team members and stakeholders, and to complete job-related documentation and collaboration tasks. Nice to Have Hands-on production experience with Prefect, Airflow, Dagster, or Temporal for orchestrating multi-step, stateful workflows at scale. Experience deploying and operating containerized services on Kubernetes, including writing Helm charts, managing cluster resources, and troubleshooting pod-level failures. Background building and maintaining scrapers at scale, including handling anti-bot measures, rate limiting, schema drift, and silent failures from target sites. 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 Calculating compensation: This role has a target base salary range of $180,000–$210,000. Final compensation is based on demonstrated experience, interview performance, and scope of impact. On-Call: Yes, approximately every 6 to 8 weeks. Travel: If remote, quarterly travel to Nashville for onsite collaboration. We welcome applicants from all backgrounds and are committed to providing reasonable accommodations where applicable. #LI-MH1 #nashville #python