Java Backend Developer – Specialist

Sinqia

. Provide technical leadership to a multidisciplinary team and promote software engineering best practices .

Posted 9/25/2026full-timeRemote • BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates strong technical leadership in software engineering, with expertise in Java development, systems architecture, and AI integration. Capable of mentoring teams, managing technical priorities, and facilitating Agile practices while ensuring high-quality deliverables.

Highest-signal resume keywords

Java Development (Java 17+, Spring Boot)Systems Architecture and MicroservicesCI/CD Practices and Tools (Jenkins, GitLab CI)Artificial Intelligence IntegrationTechnical Team Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Java DevelopmentSystems ArchitectureMicroservicesRelational Databases (SQL)Non-Relational Databases (NoSQL)Messaging Systems (Kafka, RabbitMQ)Containers and Orchestration (Docker, Kubernetes)Cloud Platforms (AWS, Azure, GCP)Automated Testing (Unit, Integration, E2E)AI/ML Systems Architecture

Soft Skills

Excellent CommunicationNegotiationProactive MindsetTechnical CuriosityAbility to Influence

Tools & Technologies

JenkinsGitLab CIGitHub ActionsDockerKubernetesKafkaRabbitMQAI APIsGenerative AI ToolsMLOps

Industry Keywords

Agile PracticesTechnical DebtClean CodeSOLID PrinciplesDesign PatternsEvent-Driven ArchitectureCQRS PatternsAI GovernanceAI Data PipelinesHybrid Teams

Tech Stack

Tools & technologies

AWSAzureCloudDockerGoogle Cloud PlatformJavaJenkinsKafkaKubernetesNoSQLRabbitMQSpringSpring BootSpringBootSQL

About the role

Key responsibilities & impact

Provide technical leadership to a multidisciplinary team and promote software engineering best practices
Conduct code reviews, ensuring quality, performance, and adherence to architectural standards
Make strategic technical decisions in collaboration with architects and stakeholders
Mentor and technically develop team members from junior to senior levels
Assess and guide the responsible adoption of AI throughout the development lifecycle
Ensure continuous flow through the development pipeline (CI/CD), identifying and removing bottlenecks
Manage technical priorities aligned with the needs of multiple business areas
Track delivery metrics such as lead time, throughput, and quality
Balance technical debt with the delivery of new features
Serve as a bridge between different business areas that consume or depend on the product
Translate complex and conflicting business requirements into viable technical solutions
Negotiate priorities and expectations with multiple stakeholders
Facilitate Agile ceremonies and ensure alignment among dependent teams
Define and evolve the product's technical architecture, considering scalability, resilience, data, and AI
Ensure Java development best practices, including Clean Code, SOLID, and Design Patterns
Safeguard code quality, test coverage, and technical documentation
Drive the continuous evolution of engineering practices, including DevOps, observability, and security
Assess opportunities to apply AI/ML within the product architecture

Requirements

What you’ll need

Strong knowledge of Java (Java 17+, Spring Boot/Spring Framework)
Experience with systems architecture and microservices
Experience designing scalable, resilient, and distributed solutions
Knowledge of circuit breaker, Saga, event-driven, and CQRS patterns
Knowledge of relational and non-relational databases (SQL/NoSQL)
Experience with messaging systems (Kafka, RabbitMQ, or similar)
Experience with containers and orchestration (Docker, Kubernetes)
Knowledge of cloud platforms (AWS, Azure, or GCP)
Familiarity with CI/CD practices and tools (Jenkins, GitLab CI, GitHub Actions)
Experience with automated unit, integration, and end-to-end (E2E) testing
Knowledge of Artificial Intelligence applied to software engineering
Experience with generative AI tools, code assistants, and code generation and review
Understanding of LLM fundamentals
Experience integrating AI APIs, RAG, and agents
Understanding of production AI/ML systems architectures
Preferred: experience with MLOps, AI data pipelines, or AI governance/security in corporate environments
Previous experience as a Tech Lead or in technical team leadership
Excellent communication skills for working with multiple departments simultaneously
Ability to manage conflicting priorities and negotiate trade-offs
Systems-level perspective on the impact of technical decisions across different business contexts
Proactive mindset with a strong sense of ownership
Ability to influence without direct authority
Technical curiosity and willingness to experiment with and evaluate new technologies
Preferred: experience in environments with multiple stakeholders and divergent priorities
Experience managing hybrid teams (backend, frontend, and QA)
Comfortable switching between in-depth technical discussions and strategic conversations with business stakeholders
Hands-on experience implementing or evaluating AI solutions in real-world products

Benefits

Comp & perks

Meal or food allowance
Flexible benefits (Flash)
Health insurance
Partners providing psychological, legal, financial, and nutritional support (CLUDE, C4LIFE, and ASQ)
Psicologia Viva
Dental insurance
Childcare assistance
Assistance for children with special needs
Fertility assistance
Extended maternity and paternity leave
Transportation allowance or home office allowance (for remote-work contracts)
Gympass (Wellhub) and TotalPass
Flexible working hours
Life insurance
Partner benefits club
Partnership with Sesc
Just dress no code (no dress code)
Birthday day off
Beca (education incentive program)
Profit-sharing plan or bonus, based on the achievement of goals and results
Dynamic work environment