Senior Backend Developer, AI Systems (Remote)

Ladders; United States; Remote; USD 143,000 - 200,000; Full time

Benefits offered by this job

Remote work

Competitive salary

Professional growth

Job summary

Ladders is seeking a Senior Backend Developer, AI Systems to join a leader in the Enterprise Technology space. You will shape the evolution of a high-scale personalization and recommendations platform using a modern distributed backend architecture and partner closely with ML engineers to translate requirements into reliable, performant systems. Location: Remote.

Compensation: $143,000 – $200,000 annually. The role emphasizes ownership across design, delivery, incident response, and continuous

Qualifications

• 5+ years of software engineering experience focused on distributed systems.
• Deep experience building and operating large-scale, fault-tolerant distributed systems.
• Proficiency in Python and modern CI/CD practices.

Responsibilities

• Lead the architectural evolution of the core recommendations pipeline to a modern distributed architecture.
• Design, build, and operate scalable backend services for personalization at scale.
• Identify and resolve performance bottlenecks and reliability risks.
• Collaborate with ML engineers to translate requirements into technical designs.
• Own key system components from architecture to incident response.
• Champion engineering best practices in system design and code quality.
• Mentor engineers and foster a culture of technical rigor and continuous improvement.

Skills

Python

Distributed systems

System design

CI/CD practices

Technical leadership

Tools

Kubernetes

Kafka

Apache Spark

Google Cloud Platform

Job description

For our client, we are seeking a Senior Backend Developer, AI Systems to join the team of a leader in the Enterprise Technology space.

This role will shape the evolution of a high-scale personalization and recommendations platform through modern distributed backend architecture. You will partner closely with machine learning engineers and other technical stakeholders to turn business and model requirements into reliable, performant systems that can operate at scale. The position also carries ownership across design, delivery, and incident response, with a strong focus on engineering rigor, system resilience, and continuous improvement.

Location: Remote

Compensation: $143,000 – $200,000 annually

Responsibilities

• Lead the architectural evolution of the core recommendations pipeline to a modern distributed architecture
• Design, build, and operate scalable backend services for personalization at scale
• Identify and resolve performance bottlenecks and reliability risks
• Collaborate with ML engineers to translate requirements into technical designs
• Own key system components from architecture to incident response
• Champion engineering best practices in system design and code quality
• Mentor engineers and foster a culture of technical rigor and continuous improvement

Qualifications

• 5+ years of software engineering experience focused on distributed systems
• Deep experience building and operating large-scale, fault-tolerant distributed systems
• Strong software engineering skills, including system design and CI/CD practices
• Proficiency in Python programming
• Experience with distributed data processing frameworks such as Apache Spark
• Familiarity with cloud providers, particularly Google Cloud Platform
• Knowledge of modern distributed technologies such as Kubernetes and Kafka
• Strong technical leadership and mentoring abilities

Benefits

• Comprehensive medical benefits
• Financial benefits, including bonuses
• Support for continuous learning and professional development
• Commitment to diversity and inclusion in the workplace

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.