Staff Software Engineer — AI Workflow Platform Leader

Plenful Inc.; San Francisco (CA); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Healthcare Coverage

401(k) with Company Match

Equity

Unlimited PTO

Daily Lunch Stipend

Wellness Stipend

Commuter Benefits

Parental Leave

Job summary

Plenful Inc. is hiring a Staff Software Engineer to lead design and development of systems that power our automations platform. You’ll own core backend components and mentor engineers while partnering with DevOps, ML/AI, and UX teams in a hybrid environment.

You’ll bring 8+ years in software engineering with a strong background in distributed systems, workflow orchestration, and large-scale data pipelines. You’ll help shape architecture, reliability, and performance across our platform.

Qualifications

• 8+ years in professional software engineering.
• Strong background in distributed systems and workflow orchestration at scale.
• Advanced SQL, database design, and performance tuning.
• CS fundamentals in data structures, algorithms and system design.
• Experience leading projects, mentoring engineers, and improving reliability.

Responsibilities

• Lead technical projects and set quality and reliability standards for the backend team.
• Design and evolve the workflow automation system across serverless and containerized environments.
• Build and maintain data pipelines with secure integrations and error handling.
• Mentor engineers, participate in RFCs, and drive incident postmortems for long-term reliability.

Skills

Distributed systems

Workflow orchestration

Event-driven pipelines

SQL & databases

Code quality & mentorship

Job description

Plenful Inc. is hiring a Staff Software Engineer to lead design and development of systems that power our automations platform. You’ll own core backend components and mentor engineers while partnering with DevOps, ML/AI, and UX teams in a hybrid environment.

You’ll bring 8+ years in software engineering with a strong background in distributed systems, workflow orchestration, and large-scale data pipelines. You’ll help shape architecture, reliability, and performance across our platform.