Software Architect AI SDLC

Accountabilities •

End-to-End Software Development: Participate throughout the SDLC, including planning, requirements analysis, architecture design, coding, testing, deployment, and ongoing maintenance, ensuring solutions meet quality standards and project objectives.

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AI-Assisted Development: Support the adoption of AI coding tools, AI-assisted engineering practices, and modern AI capabilities to improve developer productivity and software delivery.

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Architecture and Platform Modernization: Contribute to architectural design, technology modernization, and platform evolution, building scalable and maintainable solutions aligned with business requirements.

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Technical Leadership and Mentoring: Mentor developers, promote engineering best practices, and encourage effective and responsible use of AI tools across development teams.

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Business Requirements and Agile Collaboration: Participate in requirements refinement sessions, translate business needs into functional and efficient technical solutions, and collaborate in agile ceremonies and delivery planning, including effort and resource estimation.

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Software Architecture and Design Patterns: Apply architectural principles, microservices, design patterns, and clean architecture practices to create robust and maintainable systems.

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Data and Messaging Integration: Design efficient data flows using SQL and NoSQL databases and messaging technologies such as Kafka or RabbitMQ.

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Automated Testing and Code Quality: Ensure software stability through automated unit, integration, and end-to-end testing, including the use of JUnit and Mockito, alongside code reviews and Clean Code principles.

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Troubleshooting and Production Support: Investigate, diagnose, and resolve complex defects affecting code, data, and production environments.

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Technical Documentation: Maintain clear documentation of code, architecture, and technical processes to support maintainability and knowledge sharing.

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Continuous Improvement: Evaluate the outcomes of AI adoption, identify opportunities to improve engineering practices, and help teams become more autonomous and effective.

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Technology Awareness: Keep up to date with emerging technologies, software engineering methods, and market trends relevant to the project.

Requirements:

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Java Development: Practical experience developing applications with Java 11 and Java 17, along with Spring Boot 3.

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Front-End Development: Experience with Angular 8 and Angular 17.

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JavaScript and TypeScript: Knowledge and practical development experience with JavaScript and TypeScript.

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Node.js: Experience developing applications or services using Node.js.

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Software Design Principles: Strong understanding of object-oriented programming (OOP), design patterns, SOLID, KISS, DRY, and YAGNI principles.

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Software Architecture: Knowledge of hexagonal architecture and the ability to design modular, maintainable, and scalable systems.

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Messaging Technologies: Familiarity with Kafka and event-driven or asynchronous communication patterns.

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Automated Testing: Practical experience implementing automated tests to ensure software reliability and maintainability.

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Version Control: Hands-on experience with Git and collaborative source code management practices.

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Databases: Knowledge of database technologies and data persistence concepts.

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API Development: Experience designing or integrating RESTful APIs.

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AI Development Tools: Familiarity with GitHub Copilot and GitHub Actions, including AI-assisted coding and development workflow automation.

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Cloud Platform: Experience or knowledge of the Microsoft Azure platform.

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Preferred Experience – Agentic Development: Familiarity with agentic frameworks and methodologies, such as AI-SDLC (AISDD), Spec-Kit, or similar approaches, is an advantage.

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Preferred Experience – Legacy Systems: Experience with COBOL is considered a plus.

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Collaboration and Communication: Ability to work effectively with multidisciplinary teams, communicate technical concepts clearly, and translate business requirements into practical engineering solutions.

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Quality and Continuous Learning: Commitment to code quality, technical documentation, engineering best practices, and continuous improvement.

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Work Arrangement: The role is remote. Candidates residing in the Campinas metropolitan region are required to attend the local offices in accordance with the applicable attendance policy.

Benefits:

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Healthcare Coverage: Medical and dental plans.

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Food Allowances: Meal and food benefits.

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Childcare Support: Childcare assistance.

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Parental Leave: Extended parental leave.

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Health and Fitness: Partnerships with gyms and health and wellness professionals through Wellhub (Gympass) and TotalPass.

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Profit Sharing: Participation in a profit-sharing program (PLR).

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Life Insurance: Life insurance coverage.

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Continuous Learning: Access to a continuous learning platform and partnerships with online course providers.

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Language Development: Access to language-learning resources.

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Discount Programs: A discount club offering savings on selected products and services.

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Well-being Resources: Access to a free online platform focused on physical health, mental health, and overall well-being.

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Parenting Resources: Courses focused on pregnancy and responsible parenting.

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Inclusion and Accessibility: Dedicated health and well-being support, inclusion specialists, and affinity groups. Candidates with disabilities can receive guidance on documentation and workplace accommodations throughout the recruitment process. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1