Backend Engineer (Cloud & AI Integration)

BETSOL; Bengaluru; Hybrid; INR 1,400,000 - 2,500,000; Full time

Job summary

BETSOL seeks a Backend Engineer, Cloud & AI Integration, in Bengaluru to build and maintain Python-based backend services and REST APIs. You will work on cloud-native workflows on AWS and integrate with third-party platforms, supporting AI-powered features and Human-in-the-Loop workflows.

The role emphasizes strong backend development, scalable design, and collaboration with Full Stack Engineers to deliver end-to-end product features in a mid-level capacity.

Qualifications

• 5+ years total experience with 3+ years backend development and production support.
• Hands-on Python backend development experience.
• Strong experience designing and consuming REST APIs.
• Experience with AWS and cloud-native development.
• Experience with relational and/or NoSQL databases.
• Experience integrating third-party APIs and external services.
• Familiarity with Git-based development workflows.
• Ability to own backend deliverables and collaborate with FE teams.
• Commitment to code quality, reliability, and documentation.

Responsibilities

• Develop and maintain backend services and REST APIs using Python.
• Build and manage integrations with third-party platforms and internal systems.
• Support AI-powered features and Human-in-the-Loop workflows.
• Design reliable data models, backend workflows, and business logic.
• Build serverless and cloud-native backend applications on AWS.
• Troubleshoot and resolve production issues across backend services.
• Collaborate with Full Stack Engineers to deliver end-to-end product features.
• Own the backend development scope for assigned features and integrations.
• Contribute to code reviews, testing, documentation, and release activities.
• Ensure backend services are reliable, scalable, well-tested, and maintainable.

Skills

Python

REST APIs

AWS

Cloud-native

Databases

Third-party APIs

Serverless

Git workflows

Testing

Documentation

Education

Bachelor's degree

Tools

Git

AWS Cloud

Job description

Engineering the AI-powered enterprise. With AI and cloud-native solutions, BETSOL accelerates cloud transformation for enterprises across 17+ countries. BETSOL holds several engineering patents, and is recognized with industry awards. BETSOL maintains a net promoter score that is 2x the industry average.

BETSOL’s open source backup and recovery product line, Zmanda (Zmanda.com), delivers up to 50% savings in total cost of ownership (TCO) and delivers best-in-class performance.

BETSOL Global IT Services (BETSOL.com) builds and supports end-to-end enterprise solutions, reducing time-to-market for customers.

We take pride in being an employee-centric organization, offering comprehensive benefits and opportunities.

Learn more at betsol.com

Job Description

About the Role

We are looking for a Backend Engineer, Cloud & AI Integration, to build and maintain backend services, APIs, and integrations that support AI product and internal tools.

This role will focus on Python-based backend services, REST APIs, data models, third-party integrations, and cloud-native workflows on AWS. The engineer will work closely with Full Stack Engineers to provide reliable backend services that can support scalable product development.

This is a mid-level backend engineering role suited for someone with strong hands‑on experience in backend development, cloud services, APIs, and production systems. AI and Human-in-the-Loop workflows will be taught as part of the role, so prior AI or ML experience is not mandatory.

Responsibilities

• Develop and maintain backend services and REST APIs using Python.
• Build and manage integrations with third-party platforms and internal systems.
• Support AI-powered features and Human-in-the-Loop workflows where AI output is reviewed by a person before the next step.
• Design reliable data models, backend workflows, and business logic.
• Build serverless and cloud-native backend applications on AWS.
• Troubleshoot and resolve production issues across backend services.
• Collaborate with Full Stack Engineers to deliver end-to-end product features.
• Own the backend development scope for assigned features and integrations.
• Contribute to code reviews, testing, documentation, and release activities.
• Ensure backend services are reliable, scalable, well-tested, and maintainable

Looking For

• 5+ years of total experience with 3+ years of experience in backend application development and production support.
• Hands‑on experience building and maintaining Python-based backend services.
• Strong experience designing and consuming REST APIs.
• Experience working with AWS and cloud-native application development.
• Experience with relational and/or NoSQL databases in production environments.
• Experience integrating third-party APIs and external services.
• Familiarity with Git-based development workflows.
• Ability to work in a mid-level engineering role with strong execution and collaboration.
• Comfortable working with Full Stack Engineers, owning the backend side of feature delivery.

Mandatory Skills

• Technical Skills
• Python backend development
• REST API design and development
• AWS cloud services
• Cloud-native backend application development
• Relational and/or NoSQL databases
• Third-party API integrations
• Serverless backend workflows
• Git-based development
• Production issue troubleshooting
• Backend service testing and documentation
• Soft Skills
• Strong problem‑solving skills
• Good communication and collaboration
• Ability to work with cross‑functional engineering teams
• Ownership of assigned backend deliverables
• Attention to code quality, reliability, and documentation
• Ability to troubleshoot issues in a production environment

Good To Have Skills

• Serverless application development experience
• Experience with asynchronous processing, messaging, or event‑driven architecture
• Experience working in Agile software development teams
• Exposure to AI-powered product features
• Exposure to Human-in-the-Loop workflows
• Track record of writing clean, well‑tested, and well‑documented code

Qualifications

Bachelor’s degree in Computer Science, Engineering, or a related field is preferred.