Pessoa Supervisora de Desenvolvimento

BrazilRemoteFull-timemid

Other

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Quick Summary

Overview

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Pessoa Supervisora de Desenvolvimento based in Brazil.

Technical Tools

Other

We are looking for an experienced development leader to guide a software engineering team responsible for the stability, maintenance, and continuous evolution of a strategic technology product. In this role, you will combine people management, technical oversight, and business alignment to strengthen engineering practices and improve delivery predictability. You will foster team autonomy, encourage knowledge sharing, and support the modernization of complex legacy systems. Working closely with Product, Architecture, Engineering, and other stakeholders, you will help the team navigate challenges and deliver reliable, high-quality solutions. You will also promote the practical adoption of AI to enhance engineering productivity and efficiency. This is an opportunity to make a meaningful impact by developing talent, improving technical processes, and building a resilient, high-performing engineering culture.

Lead, mentor, and develop the software engineering team, fostering autonomy, engagement, accountability, and shared ownership of results.
Conduct regular one-on-one meetings, provide continuous feedback, manage performance evaluations, and establish Individual Development Plans (IDPs) to support career growth.
Ensure the operational stability, reliability, quality, and ongoing maintenance of complex legacy systems.
Monitor engineering health, coordinate incident management, mitigate operational risks, and prioritize technical debt to support continuous improvement.
Promote consistent software engineering best practices, including code quality, testing, code reviews, version control, and agile development processes.
Track team performance indicators and engineering metrics to improve delivery predictability, efficiency, transparency, and overall effectiveness.
Remove blockers and facilitate collaboration between Product, Architecture, Engineering, Coordination, and other cross-functional teams.
Guide the team through organizational changes and transformation initiatives, encouraging knowledge sharing and reducing dependence on individual technical experts.
Encourage the effective use of AI tools throughout the engineering workflow to accelerate development, improve productivity, and enhance delivery quality.
Participate in talent acquisition, candidate selection, onboarding, and integration of new team members.
Balance people development, engineering health, operational demands, and business priorities while promoting continuous learning and team maturity.

Requirements

~2 min read

Proven experience in direct people management and leadership of software development teams.
Strong background in performance management, career mentoring, continuous feedback, and the development of Individual Development Plans.
Practical knowledge of the software development lifecycle, including version control, testing, code reviews, continuous integration, and deployment.
Experience maintaining and supporting software systems, managing incidents, assessing operational risks, and prioritizing technical debt.
Sufficient technical knowledge to contribute to architecture discussions, participate in backlog refinement, and communicate effectively with engineering teams.
Solid experience with agile methodologies, development processes, and team ceremonies.
Excellent interpersonal and communication skills, with the ability to align expectations, facilitate collaboration, and handle difficult conversations constructively.
Emotional resilience and adaptability to manage change and perform effectively in dynamic environments.
Strong leadership skills, with the ability to motivate, empower, and develop team members without centralizing decision-making.

Nice to have:

Experience with the Java ecosystem, particularly Java 7, and complex legacy software products.
Experience implementing AI-powered tools and workflows across the software engineering lifecycle to improve productivity and delivery efficiency.
Familiarity with modern engineering tools and technologies, such as GitLab, CI/CD pipelines, Kafka, event-driven architecture, and cloud solutions.
Practical experience managing technical backlogs and implementing continuous modernization strategies.
Previous experience in SaaS, B2B technology, or mission-critical software environments.