Tech Lead

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Tech Lead based in Brazil.

This role offers the opportunity to lead engineering teams while remaining deeply involved in designing and building impactful software solutions.
You will act as a technical reference, guiding developers, defining engineering standards, and driving architectural decisions.
The position combines hands-on development, technical leadership, and collaboration with product, business, and client stakeholders.
You will help transform complex requirements into scalable, secure, and sustainable technology solutions.
The ideal candidate is a proactive technical leader who values ownership, innovation, and continuous improvement.
You will also contribute to the adoption of AI-powered tools and modern development practices to improve team productivity and delivery quality.

• Lead development teams from a technical perspective, promoting engineering best practices, code quality, and effective delivery processes.
• Participate actively in the design, development, and evolution of applications, platforms, and scalable software solutions.
• Define technical standards, architecture patterns, development guidelines, and engineering approaches.
• Design and implement APIs, integrations, and cloud-based solutions with a focus on scalability, performance, and maintainability.
• Conduct code reviews, provide technical guidance, and mentor developers across different levels of experience.
• Act as the technical point of reference for teams, supporting complex decision-making and resolving challenging engineering problems.
• Collaborate with product managers, analysts, business teams, and clients to understand requirements and translate them into effective technical solutions.
• Participate in client discussions by providing technical expertise and supporting solution definition.
• Identify technical risks and propose practical solutions aligned with business objectives.
• Ensure that solutions meet standards for security, observability, reliability, and performance in production environments.
• Promote the adoption of AI-assisted development tools, automation, and AI-driven workflows to enhance engineering productivity.

Requirements

• Proven experience leading technical teams or complex software projects, with the ability to guide engineers and influence technical decisions.
• Strong proficiency in Java and modern frameworks such as Spring Boot or equivalent technologies.
• Solid experience developing REST APIs and working with distributed system architectures.
• Experience designing and implementing event-driven architectures using technologies such as Kafka, EventBridge, SQS, SNS, or similar solutions.
• Hands-on experience working with production cloud environments, preferably AWS.
• Experience with Docker, Kubernetes, and modern application deployment practices.
• Knowledge of observability and monitoring solutions such as ELK, Prometheus, Grafana, or similar tools.
• Experience working with both relational and non-relational databases.
• Ability to collaborate directly with clients and business stakeholders in technology projects.
• Strong technical judgment with the ability to balance speed, quality, scalability, and long-term sustainability.
• Experience with mentoring, code reviews, and technical coaching.
• English proficiency sufficient for technical meetings and documentation.
• Experience with distributed teams, cloud migrations, modernization initiatives, or complex architecture decisions is highly valued.
• Familiarity with AI-assisted development tools such as Cursor, Claude Code, GitHub Copilot, or similar platforms is a plus.
• Practical experience using AI agents, automation workflows, and AI-powered processes for development, testing, documentation, or productivity improvements is desirable.

Benefits

• Fully remote position with flexible working arrangements.
• Opportunity to work on challenging, high-impact projects across different industries.
• Ability to influence technical and strategic decisions within engineering teams.
• Collaborative environment with highly skilled professionals.
• Culture focused on autonomy, trust, ownership, and continuous learning.
• Opportunities for professional growth and technical development.
• Active participation in innovation initiatives and AI adoption within software engineering practices.