Back End Developer

Ascendion; Colombia; Presencial; USD 12 - 25; Jornada completa

Descripción de la vacante

An innovative technology firm is seeking a skilled Backend Engineer to enhance its core infrastructure. In this dynamic role, you will collaborate with AI engineers and front-end developers to create scalable backend solutions using Java and Spring Boot. Your expertise in API development and cloud services will be crucial in optimizing performance for enterprise-scale workloads. This exciting opportunity allows you to work with cutting-edge technologies and contribute to AI-driven projects, making a significant impact in the tech industry. If you are passionate about backend development and eager to tackle complex challenges, this role is perfect for you.

Formación

• 5+ years of backend development experience focusing on Java and cloud architectures.
• Strong proficiency in Java, Spring Boot, and microservices architecture.

Responsabilidades

• Design and maintain scalable backend systems using Java and Spring Boot.
• Develop RESTful and GraphQL APIs for AI-driven content workflows.

Conocimientos

Java

Spring Boot

Microservices Architecture

API Development

Cloud Computing

SQL Databases

NoSQL Databases

Security Frameworks

CI/CD Pipelines

Containerization

Educación

Bachelor’s in Computer Science

Master’s in Software Engineering

Herramientas

Azure

Docker

Kubernetes

Terraform

Prometheus

Grafana

Azure DevOps

Descripción del empleo

Direct message the job poster from Ascendion

I may have your next Awesome Job Opportunity || Talent Acquisition || Ascendion

Role Overview

As a Backend Engineer, you will be key in building and maintaining Studio AI's core infrastructure. You will work closely with AI engineers, front-end developers, and cloud architects to develop scalable backend solutions using Java, Spring Boot, and Azure cloud services. This role requires expertise in API development, microservices architecture, and cloud-based deployments.

You will be responsible for designing robust and scalable backend services, ensuring seamless integration with AI models, and optimizing system performance for enterprise-scale workloads.

Key Responsibilities

• Backend Architecture & Development: Design, develop, and maintain scalable, high-performance backend systems using Java, Spring Boot, and microservices architecture.
• API & Microservices Development: Build RESTful and GraphQL APIs to support AI-driven content creation, retrieval, and automation workflows.
• Cloud Infrastructure & Deployment: Deploy and optimize backend services on Azure Cloud, leveraging Azure Kubernetes Service (AKS), Azure Functions, and Azure DevOps pipelines.
• Database & Storage Optimization: Design and maintain efficient SQL and NoSQL databases (e.g., PostgreSQL, CosmosDB) for AI-powered data processing.
• Security & Compliance: Implement enterprise-grade authentication, authorization, and data protection mechanisms using OAuth, JWT, and Azure Active Directory.
• Scalability & Performance Tuning: Optimize API response times, database queries, and caching strategies to support large-scale AI applications.
• AI Model Integration: Work with AI engineers to integrate LLMs, vector search, and machine learning models into the backend pipeline.
• Monitoring & Troubleshooting: Implement observability tools such as Prometheus, Grafana, and Azure Monitor to track system health, performance, and error rates.
• Cross-functional collaboration: Work closely with front-end developers, AI engineers, and cloud architects to ensure seamless integration between backend services and AI workflows.

Required Skills & Qualifications

• Education: Bachelor’s or Master’s in Computer Science, Software Engineering, or a related field.
• Experience: 5+ years of experience in backend development with a focus on Java and cloud-based architectures.

Technical Proficiency:

• Strong proficiency in Java, Kotlin, Spring Boot, and microservices architecture.
• Experience with RESTful and GraphQL API development.
• Experience with SQL and NoSQL databases such as PostgreSQL, CosmosDB, or MongoDB.
• Familiarity with event-driven architectures and message queues (e.g., Kafka, RabbitMQ).
• Strong knowledge of authentication and security frameworks (OAuth2, JWT, SAML).
• Experience with CI/CD pipelines, containerization (Docker, Kubernetes), and Infrastructure as Code (Terraform, Bicep).

Preferred Skills & Experience

• AI-Driven Backend Development: Experience integrating backend services with AI and machine learning models.
• Vector Databases & Search Optimization: Knowledge of Milvus, Pinecone, or Elasticsearch for AI-powered knowledge retrieval.
• GraphQL & Event-Driven APIs: Experience with GraphQL, gRPC, and asynchronous event processing.
• Azure Cognitive Services & AI Integration: Understanding of Azure OpenAI, Azure AI Services, and LLM deployment.
• Performance Monitoring & Observability: Hands-on experience with Prometheus, Grafana, Azure Monitor, and distributed tracing tools.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology

Industries

Technology, Information and Internet