Backend Engineer (Cloud & AI Integration)

Company 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

A. 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

B.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.

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