Senior Backend Engineer

Falabella • IT Consulting & Digital Transformation • Custom Software Development • Java • 3 days ago

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Salary

≈ $18k – $42k per year (Estimated)

Location

In office (Bengaluru)

Seniority

Senior · 4+ years exp

First seen by Alion on Oct 21, 2026.

Overview

Company

Impact

Profile match

Falabella

ADESSA India delivers IT business solutions to the Falabella Group. Falabella is one of Latin America's leading integrated retailers, with operations in Chile, Peru, Colombia, Argentina, Uruguay, Brazil and Mexico.

falabella.com • Bengaluru • UTC+05:30 • Custom Software Development • IT Consulting & Digital Transformation • Est. 1900

Tech stack of Falabella

Requirements:

4+ years of hands-on experience in Java development with strong expertise in Spring Boot and microservices architecture.
Strong understanding of distributed systems, load balancing, fault tolerance, and resilient application design.
Experience with cloud platforms such as GCP or AWS.
Hands-on experience with containerization and orchestration using Docker and Kubernetes.
Strong knowledge of relational databases, particularly PostgreSQL/DataStore, including performance optimization and query tuning.
Experience with event-driven architectures and messaging systems such as Apache Kafka or Google Cloud Pub/Sub.
Familiarity with DevOps practices, CI/CD pipelines, Infrastructure as Code, and automated deployment strategies.
Proficiency in code versioning tools such as Git, GitHub, and GitLab.
Experience with application monitoring, logging, and observability tools, including Grafana, Datadog, and Loki.
Strong analytical, troubleshooting, debugging, and performance optimization skills.
Experience working in Agile/Scrum development environments.
Ability to leverage AI-assisted development tools such as GitHub Copilot.

AI & Modern Engineering Experience (Good to have):

Experience integrating LLMs (Large Language Models) or generative AI.
Exposure to AI frameworks and tools such as Spring AI, OpenAI APIs, and similar AI platforms.
Understanding of Retrieval-Augmented Generation (RAG) architectures
Familiarity with AI observability, prompt engineering, model evaluation, and responsible AI best practices.

Skills

Java, Spring Boot, microservices

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