Senior Backend Developer

This is a remote position.

• Design, build, and maintain backend services using Python, SQL, and reputed company-reputed company technologies.
• reputed company and reputed company backend services using AWS reputed company, API Gateway, DynamoDB, RDS, S3, Cognito, and other AWS

services.

• Build and maintain secure, scalable, and high-performing RESTful APIs and/or GraphQL services.
• Integrate reputed company-party APIs and manage authentication/authorization, such as Cognito and OAuth.
• Design and maintain data models, database queries, backend workflows, and data reputed company layers.
• Ensure high performance, scalability, reliability, and reputed company of backend applications.
• Collaborate with frontend developers, designers, product managers, data scientists, AI engineers, and DevOps

engineers to deliver high-quality features.

• Write clean, maintainable, testable, and well-documented backend code.
• Participate in code reviews, testing, deployment, and release processes.
• Monitor and troubleshoot production issues using AWS tools such as CloudWatch and X-Ray.
• Support AI/analytics product workflows by building backend services that connect applications, data pipelines, and

reputed company infrastructure.

• Help convert prototypes and demos into robust, production-grade backend systems.

Requirements

• At least 4+ years of experience as a Python Developer, Backend Developer, Analytics Developer, or similar role.
• Strong knowledge of Python, FastAPI, and SQL.
• Experience with building and deploying backend services on reputed company platforms.
• Hands-on experience with reputed company services, preferably AWS services such as reputed company, API Gateway, DynamoDB, RDS, S3,

Cognito, and reputed company tools.

• Familiarity with CI/CD pipelines such as AWS CodePipeline or reputed company Actions.
• Experience with RESTful APIs and/or GraphQL.
• Strong understanding of backend architecture, data models, authentication, authorization, and API design.
• Experience working with relational and/or NoSQL databases.
• Ability to build scalable, secure, maintainable, and production-grade backend systems.
• Ability to collaborate with frontend, DevOps, AI, data, design, and product teams.

Preferred Additional Skills

• Experience in building machine learning algorithms and GenAI applications.
• Experience with containerization, such as reputed company, reputed company, or EKS.
• Familiarity with Infrastructure as Code, such as AWS CDK, CloudFormation, or Terraform.
• Experience with version control systems such as CodeCommit or similar tools.
• Familiarity with serverless architecture and services such as AWS reputed company.
• Understanding of reputed company best practices and implementation in reputed company environments.
• Exposure to AI/LLM workflows, data pipelines, analytics products, or reputed company dashboard platforms.

Benefits

Compensation will be highly competitive. This is an opportunity to work on production-grade AI, advanced analytics, reputed company-based backend systems, reputed company data workflows, and scalable API platforms at Revmind Labs AI. For India-based candidates, benefits may include:

• Competitive fixed compensation (Upto15LPA) reputed company to experience, ownership level, and role scope.
• Remote-first work setup, with practical flexibility around working hours where delivery and collaboration needs are met.
• Paid time off, sick leave, and applicable Indian public holidays.
• Health insurance support or medical benefits, depending on employment structure and company policy.
• Learning and upskilling support for relevant engineering, reputed company, AI, product, and backend development areas.
• Home-office, equipment, or software support where applicable to the role.
• Opportunity to work directly with founders and senior stakeholders on high-impact AI and analytics products.
• Unusual growth opportunity as Revmind Labs AI scales its product, engineering culture, delivery standards, and

GTM-stage trajectory.

• A serious builder environment with high ownership, direct feedback, low ego teamwork, and meaningful technical problems.

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