Back End Developer

LanceSoft, Inc.; Sorocaba; Teletrabalho; BRL 120.000 - 160.000; Tempo parcial

Resumo da oferta

A leading tech consulting firm is seeking a Senior Backend Engineer to join their Order Pricing team. In this remote role, you'll develop scalable microservices in Java and Spring Boot, design event-driven architectures with Apache Kafka, and deploy solutions on Kubernetes. The ideal candidate has 6-10 years of backend software development experience, especially in e-commerce. This position offers hourly pay with no benefits and requires self-management of taxes.

Qualificações

• 6–10 years of professional experience in backend software development, preferably in e-commerce or retail.
• Strong proficiency in Java 11+ and Spring Boot.
• Hands-on experience with microservices architecture and RESTful API design.

Responsabilidades

• Architect and maintain microservices in Java and Spring Boot for pricing.
• Design asynchronous data flows using Apache Kafka for real-time processing.
• Build and deploy services on Kubernetes for scalability.

Conhecimentos

Java 11+

Spring Boot

Microservices architecture

RESTful API design

Apache Kafka

Kubernetes

CI/CD using GitHub Actions

Relational databases (PostgreSQL, MySQL)

Docker

Google Cloud Platform (GCP)

Ferramentas

Apache Kafka

Kubernetes

GCP Logging

New Relic

PagerDuty

Grafana

Descrição da oferta de emprego

Job Title: Senior Backend Engineer

Location: Brazil

Work Mode: 100% Remote

Employment Type: Independent Contractor (hourly pay, no benefits, and you’re responsible for your own taxes)

Contract: 12 / 01 / 2025 to 02 / 28 / 2026 (with possibility of extension)

Hours: 40 hours per week

About The Role

We are looking for a Senior Backend Engineer to join our Order Pricing team, responsible for building and enhancing the Pricing applications that define, manage, and apply promotions across the shopping experience. This role focuses on developing high-performance backend systems that ensure accurate, real-time pricing and promotion application to shopping bags.

Consultant will play a key role in designing scalable microservices, implementing event-driven architecture, and driving continuous delivery in a cloud-native environment.

Responsibilities

• Backend System Design & Development: Architect, develop, and maintain microservices in Java and Spring Boot to support pricing, promotions setup, and calculation logic.
• Event-Driven Architecture: Design and maintain asynchronous data flows using Apache Kafka for high throughput and reliability in real-time promotion processing.
• Cloud-Native Deployment: Build and deploy services on Kubernetes, ensuring scalability, resilience, and observability across environments.
• CI / CD & Automation: Develop and maintain automated build and deploy pipelines using GitHub Actions (GHA) and Argo CD, ensuring fast, reliable, and secure delivery.
• Performance & Reliability: Optimize services for high performance and low latency, including caching strategies, database tuning, and message processing efficiency.
• Monitoring & Alerting: Implement observability and operational monitoring using GCP Logging, New Relic, PagerDuty, and Grafana to ensure system health, proactive alerting, and incident response.

Requirements

• 6–10 years of professional experience in backend software development, preferably within e-commerce, retail, or pricing systems.
• Strong proficiency in Java 11+ and Spring Boot.
• Hands-on experience with microservices architecture and RESTful API design.
• Proven experience with Apache Kafka (producers, consumers, topics, schema registry, error handling, and message tracing).
• Experience deploying and managing applications on Kubernetes.
• Solid understanding of CI / CD pipelines using GitHub Actions (GHA) and ArgoCD.
• Knowledge of relational databases (PostgreSQL, MySQL) and caching (Redis).
• Familiarity with Docker and cloud platforms such as Google Cloud Platform (GCP) and Azure.
• Experience with GCP Logging, New Relic, PagerDuty, and Grafana for monitoring, alerting, and incident management.
• Understanding of distributed tracing and log correlation best practices.