Remote Sr. Software Engineer II — DevEx & AI Automation

Ladders; United States; Remote; USD 154,000 - 260,000; Full time

Benefits offered by this job

Flexible remote work

Development stipend

Health and parental leave

Bonuses and equity

Above-market compensation

Job summary

Ladders is seeking a Sr. Software Engineer II, DevEx to advance developer experience and productivity by improving CI/CD systems, deployment safeguards, and AI-enabled automation.

This remote US-based role focuses on reducing friction across the software delivery lifecycle and boosting pull-request throughput. The candidate will collaborate with platform and application teams, lead AI-driven automation initiatives, and contribute to a scalable, reliable SDLC.

Qualifications

• 8+ years of software engineering experience.
• Bachelor's degree in Computer Science, Engineering, or equivalent.
• 3+ years in developer experience, CI/CD, or platform engineering.
• Experience building AI workflows and orchestration systems.
• Proven track record architecting CI/CD systems and automated response workflows.
• Familiarity with cloud platforms such as AWS and GCP.

Responsibilities

• Scale internal CI/CD systems to support increased pull-request throughput.
• Reduce technical debt using AI workflows.
• Design deployment safeguards to protect production at scale.
• Build observability and feedback systems for AI-driven automation.
• Serve as a thought leader on AI to enhance engineering productivity.
• Redefine the outer loop of the SDLC with AI-native workflows.
• Experiment with new AI capabilities and convert successful approaches into production-ready systems.

Skills

CI/CD

AI workflows

AWS

GCP

Leadership

Platform Eng.

Education

Bachelor's degree in Computer Science, Engineering, or equivalent

Job description

Ladders is seeking a Sr. Software Engineer II, DevEx to advance developer experience and productivity by improving CI/CD systems, deployment safeguards, and AI-enabled automation.

This remote US-based role focuses on reducing friction across the software delivery lifecycle and boosting pull-request throughput. The candidate will collaborate with platform and application teams, lead AI-driven automation initiatives, and contribute to a scalable, reliable SDLC.