Connectly
Sao Paulo, Brasil

Engineering Manager (Brazil)

Salario competitivo

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Habilidades

Python, Kafka, PostgreSQL, AWS.

Modalidad

Remoto local

¿Inglés?

Sí, Avanzado

Responsabilidades

🤓As an Engineering Manager, the company expects you to perform the following tasks:

  • Lead, grow, and retain a high-performing engineering organization (10–20 people) across multiple locations.
  • Provide technical leadership and define strategy in partnership with the CTO, from system architecture and infrastructure design to AI scalability and reliability.
  • Stay hands-on with the technology to guide design, code reviews, and architectural decisions that impact system quality and stability.
  • Own the quality, reliability, and performance of the product, ensuring stable releases, strong testing practices, and operational excellence.
  • Drive engineering processes that balance speed and rigor: sprint planning, technical reviews, postmortems, and iterative improvement.
  • Partner closely with Product Management and Sales to deliver launches, achieve business metrics, and ensure successful enterprise deployments.
  • Engage directly with enterprise customers when needed, helping design complex integrations with third-party systems such as Meta APIs, CRMs, and eCommerce platforms (Shopify, VTEX, SAP).
  • Take full ownership of hiring, developing, and evaluating engineers, providing continuous feedback, performance reviews, and growth plans.
  • Identify and cultivate emerging leaders within your team, fostering a culture of ownership, accountability, and innovation.
  • Act as a force multiplier, building systems, processes, and talent that scale beyond your direct scope.


Requisitos

✨You are the person they are looking for if you have:

  • MS or BS in Computer Science.
  • 8+ years of software engineering experience, including 3+ years in management or tech lead roles within a technology company.
  • Proven experience leading teams of 10–20 engineers, ideally across distributed locations.
  • Demonstrated ability to set technical strategy and drive architectural decisions at scale.
  • Strong understanding of backend and AI systems, including Python, AWS, Kafka, Postgres, DynamoDB, and modern CI/CD practices.
  • Experience partnering with cross-functional stakeholders, including PM, Sales, and Customer Success, to deliver major launches.
  • Experience engaging directly with enterprise clients and integrating with third-party ecosystems such as Meta APIs, CRMs, and commerce platforms.
  • Strong leadership, empathy, and communication skills; capable of delivering both technical and performance feedback constructively.


💜They will be more enthusiastic about you if you also have:

  • Strong track record leading high-performance teams of 10–20 engineers in a fast-paced technology company.
  • Deep technical expertise and ability to be hands-on in guiding system design, architecture, and best practices.
  • Passion for building and scaling AI-driven systems and applying LLM technology to real-world business use cases.
  • Proven experience in establishing engineering processes that balance speed, quality, and reliability.
  • Excellent people management and mentorship skills, with a focus on growing individuals and teams.
  • Ability to communicate effectively across disciplines, engineering, product, and sales, and operate in ambiguity with strong execution focus.
  • A pragmatic problem-solver with a bias for impact, not just activity.


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