Backend developer serp_jobs.h1.location_city

Job brief

Senior Backend Engineer

Minimum Years of Experience Required : 6+

Years Salary range : $140,000 - $180,000

Eligibility to Work : To be eligible for this role, applicants should be a Permanent Resident or have existing legal authorization to work in the U.S. Visa sponsorship is not available at this time.

About the Role : We are seeking a Senior Backend Engineer to build and maintain the server-side logic, databases, and APIs that power our applications, with a focus on building robust and scalable infrastructure that can support AI / ML workloads and integrations. You will work on developing scalable, reliable, and high-performance backend systems. If you have a strong background in backend technologies, a passion for building robust infrastructure, and an interest in supporting AI capabilities, this role is for you.

Key Responsibilities :

Design, develop, and maintain server-side applications and APIs using relevant backend programming languages and frameworks.

Optimize applications for maximum speed, scalability, and reliability, particularly for handling requests related to AI model inference or data processing.

Design and manage database schemas and optimize database performance.

Implement security and data protection measures.

Collaborate with front-end developers, DevOps engineers, and potentially ML engineers to integrate user-facing elements with server-side logic and deploy AI models.

Develop and maintain data pipelines for processing and preparing data for AI model training or analysis.

Participate in architectural discussions and contribute to the design of scalable backend systems.

Troubleshoot and resolve production issues.

Qualifications :

Minimum 6 years of experience in backend development.

Strong proficiency in one or more backend programming languages (e.g., Python, Java, Node.js, Go, Ruby).

Experience with database technologies (SQL and NoSQL) and designing and implementing RESTful or GraphQL APIs.

Familiarity with cloud platforms (AWS, Azure, GCP) and experience building and deploying applications in the cloud.

Experience with microservices architecture and distributed systems.

Understanding of the infrastructure and backend requirements for integrating and serving machine learning models is a strong plus.

Experience with message queues or streaming platforms is beneficial.

Benefits : Paid Parental Leave

Generous Paid Time Off and Holidays

Comprehensive Health, Dental, and Vision Insurance

401(k) with company match

Flexible Work Arrangements

Professional Development Opportunities