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Lead Systems Engineer

Nubank -
Ciudad de México, CDMX

Postulación rápida

Información del empleo

Tiempo completo
Hace 10 días

Beneficios

Seguro dental
Seguro de la vista
Descuento de gimnasio
Seguro de vida

Cualificaciones

Go
Administración de personal
Kubernetes
Inglés
Capacitación
Gestión de identidades y accesos

Descripción completa del empleo

About Nu

Nu is the leading digital bank in Latin America, serving 135 million customers across Brazil, Mexico, and Colombia. The company has been leading an industry transformation by leveraging data and proprietary technology to develop innovative products and services.

Guided by its mission to fight complexity and empower people, Nu caters to customers’ complete financial journey, promoting financial access and advancement with responsible lending and transparency. The company is powered by an efficient and scalable business model that combines low cost to serve with growing returns.

Nu’s impact has been recognized in multiple awards, including Time 100 Most Influential Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Banks.

Visit our Institutional Page

As a Systems Engineer, you’re expected to:

As a key lead within the Computing Squad, you will be in contact with critical pieces of foundational infrastructure where the majority of Nubank's workloads run, including Kubernetes, AWS, Network, and Service Communications. You will contribute to our Computing product strategy, find opportunities to improve our infrastructure, and set a high technical standard for the team.

Main responsibilities:

Proactively identify and pursue opportunities to improve our infrastructure in areas like performance, costs, and governance.
Act as a key technical lead in the team, guiding and mentoring more junior engineers to create and maintain a high-quality technical environment.
Represent the team in different technical forums, being able to document, negotiate, and convince different stakeholders across various levels and chapters.
Anticipate technical and product issues, making appropriate design decisions to avoid them.
Deep dive into problems to identify root causes and deliver innovative solutions that address team-level challenges with a focus on medium and long-term impact.
Understand the technical aspects, capabilities, and limitations of our systems, contributing to discussions and improvements.
Contribute to our Computing product strategy, working closely with peers and Product Managers.

What are we looking for?

Experience and knowledge of cloud platforms (AWS).
Strong understanding and hands-on experience with Kubernetes and AWS EKS.
Experience with access management (AWS IAM, Role management).
Experience with scaling tools like Karpenter, KEDA, and HPA.
Experience with the Golang programming language.
A passion for sharing knowledge and mentoring other engineers.
Creativity and analytical thinking to find opportunities to improve our Computing Platform.
Advanced English skills (English will be used every day for documentation, text conversations, and meetings).

Our Benefits
- Chance of earning equity at Nu
- Extended maternity and paternity leaves
- Health and life insurance
- Dental and Vision Insurance
- NuCare - Our mental health and wellness assistance program
- Nucleo - Our learning platform of courses
- NuLanguage - Our language learning program
- Holiday Bonus ("Aguinaldo") of 30 days of pay per year
- 17 days of paid vacation with 25% vacation bonus
- Gym partnership
- Food card
- Work-from-home Allowance
- Parental Consultancy
- Relocation Assistance Package, if applicable

Location for this opportunity (City, Country)

Mexico City, Mexico

Work Model for this Role

Hybrid 2-3 times/week: Our hybrid work model brings us to the office at least twice a week, on strategic days designed to maximize team connection and collaboration. For more details, visit https://building.nubank.com/nu-hybrid-work-model/

Our recruitment process may involve the use of artificial intelligence–enabled tools, such as automated interview transcription and analysis, to support the evaluation process. Artificial intelligence is not used to make final hiring decisions; all decisions are made by human reviewers.

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