Staff Software Engineer, Automations

360 Privacy

$180K — $210K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Expert-level proficiency in Python with recent production experience
  • Experience with AI tools for enhancing engineering workflows
  • Strong mentoring and communication skills
  • Knowledge of modern orchestration tools or frameworks
  • Deep understanding of event-driven systems and distributed architectures
  • Extensive AWS experience including Lambda and ECS/EKS
  • Advanced English proficiency for effective communication

Responsibilities

  • Own technical implementation and define architectural direction for automation platform
  • Build and maintain resilient, observable event-driven systems
  • Develop workflow orchestration patterns and best practices
  • Design and scale automations using agentic workflows and AI technologies
  • Mentor engineers and elevate technical standards within the team
  • Collaborate with cross-functional teams to enhance automation capabilities

Benefits

  • Hybrid work flexibility with remote options available
  • Quarterly travel to Nashville for collaboration
  • Involvement in cutting-edge automation technology
  • Opportunity for mentorship and professional growth
  • Dynamic team environment focusing on innovation and collaboration
Full Job Description
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 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.

#LI-MH1 #nashville #python

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