
51 - 200 funcionários
Fundada em 2012
💼 Consultoria
📣 Marketing
📦 Logística
Consulting • Marketing • Logistics
KIS Solutions é uma consultoria de tecnologia com presença nos Estados Unidos e no Brasil, especializada em entregar sistemas de software que resolvem problemas de negócios complexos. Com foco em melhorar a experiência das pessoas por meio da tecnologia, a KIS fornece soluções tecnológicas sob medida para empresas de todos os portes, de companhias Fortune 500 a startups. A empresa utiliza gestão de dados, machine learning e design centrado no usuário para criar sistemas eficazes e eficientes que elevam a produtividade e o valor para o negócio.
🕒 Ontem
🇺🇸 Estados Unidos – Remoto (EUA)
⏰ Tempo Integral
🟠 Sênior
🧑💻 Engenheiro Full-stack
👻 Score fantasma 18%
🗣️🇺🇸🇬🇧 Inglês obrigatório
Apache
AWS
BigQuery
Cloud
Hibernate
Java
Kafka
Kubernetes
Microservices
Postgres
React
Spring
Spring Boot
SpringBoot
TypeScript
Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

51 - 200 funcionários
Fundada em 2012
💼 Consultoria
📣 Marketing
📦 Logística
Consulting • Marketing • Logistics
KIS Solutions é uma consultoria de tecnologia com presença nos Estados Unidos e no Brasil, especializada em entregar sistemas de software que resolvem problemas de negócios complexos. Com foco em melhorar a experiência das pessoas por meio da tecnologia, a KIS fornece soluções tecnológicas sob medida para empresas de todos os portes, de companhias Fortune 500 a startups. A empresa utiliza gestão de dados, machine learning e design centrado no usuário para criar sistemas eficazes e eficientes que elevam a produtividade e o valor para o negócio.
• Build and maintain reliable, scalable, and maintainable software for a mission-critical enterprise product-pricing platform • Manage the complete lifecycle of product pricing across 100+ global markets • Develop modern React frontend applications • Develop Spring Boot microservices supporting REST APIs, event-driven integrations, and batch processing • Work with shared domain libraries and cloud-native infrastructure on AWS • Integrate systems with Google BigQuery and Apache Kafka • Follow trunk-based development with automated CI/CD pipelines using GitHub Actions and ArgoCD • Support progressive environment promotion from Development through Production • Improve code review quality and define architectural patterns • Reduce technical debt and strengthen testing and observability practices • Mentor engineers through coaching, technical discussions, and mentorship • Provide technical direction and help shape the team's engineering culture • Develop reusable prompts, project context, steering files, MCP configurations, and team workflows for AI-assisted engineering • Maintain high standards for code quality, security, and engineering judgment
• 5+ years of professional software engineering experience • 3+ years as Senior Software Engineer or Technical Lead • Expert-level Java 17+; preferably Java 21 • Expertise in Spring Boot, Spring Data JPA, and Hibernate • Strong command of architecture, concurrency, performance, resiliency, and error handling • Strong frontend experience with React, TypeScript, and modern state management such as React Query or Zustand • Ability to design scalable frontend architectures • Deep knowledge of relational databases, especially PostgreSQL, including schema design, query optimization, indexing, transactions, and migrations • Experience designing and evolving production-grade REST APIs, including versioning, authentication/authorization, pagination, validation, and backward compatibility • Experience with unit, integration, contract, and end-to-end testing • Experience with quality gates in CI/CD pipelines • Experience with Git, trunk-based development, code reviews, automated CI/CD, and static analysis • Working knowledge of cloud-native applications on AWS, including EKS/Kubernetes, RDS, and S3, or equivalent • Knowledge of containerization, scalability, and observability • Hands-on experience with LLMs and AI products, including building, integrating, or operating them in production • Leadership potential and genuine interest in leading the team through mentoring, technical direction, and raising engineering standards • Daily use of AI coding assistants such as Cursor, Claude Code, GitHub Copilot, Kiro, or similar tools across software design, implementation, debugging, testing, documentation, and code exploration
• Remote work arrangement • AI-assisted software development as an integral part of the workflow • Opportunity to mentor engineers and shape engineering culture • Opportunity to develop reusable AI engineering prompts, project context, steering files, MCP configurations, and team workflows
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