Senior Backend Engineer, Assets

Accountabilities

In this role, you will be responsible for designing, building, and maintaining scalable backend systems and APIs that power an AI-native digital asset management platform. You will collaborate closely with cross-functional teams to deliver reliable, high-performance systems that support evolving product and customer needs.

• Design, develop, and maintain backend services and APIs using Python and modern backend technologies

• Build scalable, secure, and high-performance systems supporting large volumes of digital assets and metadata

• Partner with AI/ML engineers and data scientists to integrate machine learning capabilities into production systems

• Develop robust data models, storage solutions, and retrieval systems ensuring reliability and data integrity

• Collaborate with frontend engineers to define and optimize API contracts and product functionality

• Participate in system architecture decisions, balancing scalability, maintainability, and speed of delivery

• Improve system observability, reliability, testing coverage, and production performance

• Contribute to the full software lifecycle, from design through deployment and ongoing optimization

• Participate in code reviews and uphold engineering best practices and code quality standards

Requirements

This position requires strong backend engineering expertise, with a focus on building scalable distributed systems and production-grade APIs. You should be comfortable operating in ambiguous environments and contributing to early-stage product development.

• 3–5+ years of experience in backend engineering, building and shipping production systems

• Strong proficiency in Python or similar backend programming languages

• Experience designing APIs, backend services, and data models with scalability in mind

• Solid understanding of databases, distributed systems, and asynchronous architectures

• Familiarity with system design principles, performance optimization, and reliability engineering

• Experience working in cross-functional teams with product, design, and data/ML partners

• Strong debugging, testing, and observability practices in production environments

• Ability to independently drive complex technical projects from concept to delivery

• Excellent communication and collaboration skills in distributed engineering teams

• Curiosity for emerging technologies, including AI-driven development tools

Benefits

• Equity participation through RSUs in a high-growth private company

• Comprehensive medical, dental, and vision coverage for employees and dependents (with most premiums covered)

• Paid parental leave and family support benefits, including inclusive care options

• Flexible vacation policy, paid holidays, and sabbatical opportunities

• Mental health, therapy, and coaching resources

• 401(k) retirement plan with employer matching (U.S. eligible employees)

• Monthly stipends supporting work, wellness, and remote setup needs

• Annual performance-based bonus program eligibility

• Remote-first work model with distributed team collaboration

How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

#LI-CL1