Engineering Manager - Bogotá, Colombia ( Hybrid)
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
Engineering at Nubank
We strive for state-of-the-art software development practices, that currently includes a variety of technologies. While we value candidates that are familiar with them, we are also confident that software engineers who are interested in joining Nubank will be able to learn from our team.
Horizontally scalable microservices written mostly in Clojure, using Finagle and leveraging upon functional programming techniques and hexagonal architecture
High throughput jobs and inter-service communication using Kafka
Continuous Integration and Deployment into AWS
Storing data in Datomic and DynamoDB
Monitoring and observability with Prometheus
Running as much as possible in Kubernetes
We are a process-light organization that values human interactions. We value working in small, independent teams that feel like small startups within the company, and eschew coupling and centralizing where realistic. We understand that execution is the key to success and optimize processes to remove bottlenecks.
You can read more about it in our engineering blog and get some insights into how we work.
You’ll be Responsible for
Lead a team of 8~10 software engineers (ICs)
Foster a culture of teamwork, feedback and continuous improvement
Conduct effective 1:1s, team meetings and rituals
Manage individual contributors, enabling them to be high performers and support others
Deliver distributed systems at scale
Align stakeholders around team’s vision, goals, and metrics
Reason about software architecture design decisions
Look and implement improvements in the way we work and organize
We're Looking For Someone Who Has
Experience leading Engineering teams, ideally with a background as a software engineer or software architect
Experience being accountable for people management, having exposure to performance assessment, hiring, supporting career growth, etc
Experience leading agile teams, being familiar with the most relevant ceremonies, metrics and processes
A good level of technical understanding, being able to take part in architecture discussions with Engineers and to translate complex, technical projects and concepts for non-engineers.
Advanced level of English - you'll be part of a global team
Location
Bogotá, Colombia
Work model
Hybrid
Office requirement
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.
Our Benefits
Chance of earning equity at Nubank
NuCare – Psychological, Financial and Legal Assistance Program
Life Insurance
Medical Plan
Dental Plan
NuLanguage – Language Course Program
Nucleo - Our learning platform of courses
Extended Parental Leave
Daycare Allowance
Parental Consultancy
Work-from-home Allowance
Gym Partnerships
Vacations of 15 workdays
Relocation Assistance Package, if applicable
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.