AI-Augmented Software Engineer

Jobgether; India; A distancia; INR 700.000 - 1.100.000; Jornada completa

Descripción de la vacante

Jobgether in India is seeking an AI-augmented Software Engineer to join a cloud-native, data-intensive engineering team. You will develop backend services, APIs, and data pipelines in Go or Python, leveraging AI-assisted tools to accelerate coding, testing, and debugging while ensuring code quality.

You will own features end-to-end, contribute to scalable distributed systems, and participate in CI/CD, observability, and production support.

Formación

• 1–2 years of backend software engineering experience.
• Proficient in Go or Python with clean, maintainable code.
• Familiar with REST APIs, databases, and cloud services.

Responsabilidades

• Backend Development: build and maintain backend services, APIs, and data pipelines.
• Feature Ownership: manage features through design, tests, deployment, and maintenance.
• Cloud-Native Engineering: work with containers, Kubernetes, and distributed systems.

Conocimientos

Go

Python

REST APIs

AWS

Kubernetes

Docker

Terraform

PostgreSQL

gRPC

Event-driven

Descripción del empleo

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI-Augmented Software Engineer based in India.

Join a forward-thinking engineering team building cloud-native, data-intensive software solutions that help organizations optimize technology investments and manage complex IT environments. In this role, you will develop backend services, APIs, integrations, and data pipelines using modern programming languages and cloud technologies. You will leverage AI-assisted development tools to accelerate coding, testing, debugging, and problem-solving while maintaining high standards of software quality. Working alongside experienced engineers, you will take ownership of features from implementation through testing and deployment. You will contribute to scalable distributed systems, automated workflows, and reliable production services. This opportunity is ideal for an early-career software engineer eager to strengthen technical expertise, embrace AI-powered engineering practices, and grow in a collaborative, pragmatic, and innovation-driven environment.

Accountabilities

• Backend Development: Build, maintain, and improve backend services, APIs, integrations, and data pipelines using Go, Python, or similar programming languages.
• Feature Ownership: Manage assigned features and enhancements throughout the development lifecycle, including implementation, automated testing, deployment, and ongoing maintenance.
• Cloud-Native Engineering: Work with containerized applications, Kubernetes, and distributed systems to support scalable and reliable software solutions.
• AI-Augmented Development: Use AI-powered development tools for code generation, implementation, testing, debugging, and code exploration while independently validating outputs and maintaining responsibility for code quality.
• Software Quality: Write clean, maintainable, well-tested code and actively participate in code reviews, design discussions, and collaborative engineering practices.
• Troubleshooting and Reliability: Investigate software defects, identify root causes, and implement durable solutions to improve system stability and performance.
• DevOps and Production Support: Contribute to CI/CD pipelines, observability, automation, and production operations to improve deployment efficiency and service reliability.
• Continuous Improvement: Apply technical feedback, production insights, and established engineering standards to improve system architecture, development workflows, and overall delivery quality.

Requirements

• Professional Experience: Approximately 1–2 years of professional software engineering experience, primarily focused on backend development.
• Programming Skills: Practical experience with Go, Python, or another comparable backend programming language, with the ability to write clear and maintainable code.
• Core Engineering Knowledge: Good understanding of data structures, algorithms, debugging techniques, version control, automated testing, and modern software development practices.
• API and Database Experience: Familiarity with REST APIs, relational databases, and the development or integration of backend services.
• Cloud and Distributed Systems: Basic understanding of cloud-native applications, containerized environments, and distributed system concepts.
• AI Development Tools: Willingness and ability to incorporate AI-assisted coding tools into daily engineering workflows, critically evaluate generated code, and take ownership of the resulting implementation.
• Problem-Solving: Strong analytical thinking and the ability to break down technical challenges, investigate issues methodically, and develop practical, reliable solutions.
• Communication and Collaboration: Good communication skills, openness to feedback, and the ability to work effectively with colleagues across engineering teams.
• Preferred Technical Skills: Familiarity with AWS, Kubernetes, Docker, Terraform, PostgreSQL, asynchronous processing, message queues, event-driven architectures, gRPC, or service-to-service APIs.
• Additional Advantages: Exposure to data-processing services, multi-tenant SaaS applications, external cloud or SaaS integrations, and AI/ML platforms or APIs is beneficial.

Benefits

The original job description does not specify a detailed benefits package. The opportunity highlights the following professional advantages:

• Remote Work: Work remotely from India, with a flexible approach to how engineering work is organized.
• Career Development: Build practical experience with cloud-native architectures, backend engineering, distributed systems, and AI-assisted software development.
• Modern Technology Stack: Work with contemporary programming languages, APIs, containerization technologies, automation, and AI-powered engineering tools.
• Collaborative Environment: Learn from experienced engineers through code reviews, design discussions, feedback, and shared technical ownership.
• Meaningful Technical Impact: Contribute to software solutions that help organizations improve technology cost optimization, compliance, and risk visibility.
• Engineering Autonomy: Take ownership of scoped features, develop technical judgment, and grow your independence through incremental delivery and continuous improvement.
• Inclusive Workplace: Join a team that values diversity, equitable opportunities, professional integrity, accountability, and collaboration.