Back End Developer

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

Resumo da oferta

A leading tech company is seeking a Senior Backend Engineer to enhance pricing applications in a remote setting. The ideal candidate will have 6–10 years of experience in backend development, specializing in Java 11+, Spring Boot, and microservices. Responsibilities include designing scalable systems and ensuring reliable, real-time pricing operations. This role offers competitive hourly pay as an independent contractor.

Qualificações

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

Responsabilidades

• Architect, develop, and maintain microservices in Java and Spring Boot.
• Design and maintain asynchronous data flows using Apache Kafka.
• Build and deploy services on Kubernetes ensuring scalability and resilience.
• Develop and maintain automated build and deploy pipelines using GitHub Actions.
• Optimize services for high performance and low latency.

Conhecimentos

Java 11+

Spring Boot

Microservices Architecture

Apache Kafka

Kubernetes

GitHub Actions

PostgreSQL

Docker

GCP

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.