Senior Backend Engineer
Senior Backend Engineer
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Job Description
Job brief
Senior Backend Engineer
Minimum Years of Experience Required: 6
Years Salary range: $140000 $180000
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 serverside 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 highperformance 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 serverside 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 frontend developers DevOps engineers and potentially ML engineers to integrate userfacing elements with serverside 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 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
Employment Type
Full Time
