Trabajos con Python

🤓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.

✨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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