Staff Software Engineer, Automations

Plenful•San Francisco, CA

4h•Hybrid

About The Position

We’re looking for a Staff Software Engineer to lead the design and development of systems that power our automations platform. In this role, you’ll take ownership of key components that will guide and shape the future of our entire platform. You’ll work closely with DevOps, ML/AI, Customer Success, and UX teams. You’ll also mentor engineers and help set technical direction across the organization.

Requirements

8+ years of professional software engineering experience.
Strong background in distributed systems, workflow orchestration, automated systems, and event-driven pipelines at scale.
Advanced database expertise: SQL, schema design, query tuning, and operations at scale.
Solid computer science fundamentals (data structures, algorithms, system design).
Experience building and maintaining large-scale data pipelines
3+ years of technical leadership, guiding projects and mentoring engineers.
Track record of improving reliability, managing incidents, and reducing technical debt.
Strong written and verbal communication skills for documentation and cross-team collaboration.
Experience working closely with DevOps, observability, ML/AI, and UX teams.

Responsibilities

Maintain and evolve our workflow automation system that runs across serverless and containerized environments, processing millions of tasks each month.
Design scheduling, queuing, rate limiting, and retry logic for reliable and fair resource allocation.
Build mechanisms for state tracking, error handling, timeouts, and cleanup across distributed tasks.
Partner with DevOps on observability, structured logging, tracing, and deployment automation.
Manage integrations with SFTP, email, databases, spreadsheets, and REST APIs, with secure credential and failure recovery handling.
Build and maintain file processing pipelines that handle millions of files per month.
Work with healthcare data formats (HL7, X12, EDI) and standard file types (PDF, Excel, CSV, JSON).
Develop webhook handlers, polling services, and event-driven workflows to ensure data consistency.
Collaborate with ML/AI teams on data pipelines for model training and inference.
Lead technical projects and set quality and reliability standards for the backend team.
Identify and reduce technical debt; plan and execute major system improvements and migrations.
Mentor engineers through code reviews, design sessions, and pair programming.
Participate in incident response and postmortems, focusing on long-term reliability.
Write and review RFCs to document and guide key architectural decisions.