Tech Lead Software Engineer
Nubank · Toronto, Canada · 2mo ago
About Nu
Nu serves more than 140 million customers, guided by a mission to fight complexity and empower people. The company has been leading an industry transformation through innovative products and human-centered services.
Proprietary technology and data at scale power Nu’s digital platform, built to promote financial access, advancement, and transparency. Its business model thrives on customer love and lower costs, feeding a flywheel of growth and profitability.
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About the role
Our Engineering team helps Nubank to create and use the technology that provides us to build the best financial products. We strive for state-of-the-art software development practices that currently include 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. The software engineer is focused on software development with Clojure as the main programming language (We will teach you Clojure). Main responsibilities:
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 will be responsible for
Work with large scale distributed systems, understanding their broad architecture
Set technical direction for multiple teams, ensuring alignment with Business Areas and architecture strategies
Drive pragmatic innovation while ensuring resilient and flexible solutions that scale across products and geographies
Mentor engineers across teams, establishing and maintaining a high technical bar organization-wide
Write, test, instrument, document, and maintain code. Able to pair and participate in code reviews to contribute to the growth of others in and around the team
Collaborate closely with Product, Design, and Engineering leaders to build new experiences
Ensure comprehensive observability, performance monitoring, and error handling across team services
Participate in on-call rotations for your team and respond to incidents as necessary
Work focused on backend applications, and be open to contribute to mobile and frontend development, according to business needs
We are looking for a person who has
At least 10 years of experience developing digital products in complex environments
Deep expertise in distributed systems, microservices architecture, and cloud technologies
Proven track record of designing and delivering large-scale systems that serve thousands (or even millions) of users
Strong background in object-oriented or functional programming languages, with ability to work across multiple languages
Demonstrated ability to lead technical initiatives across multiple teams without direct authority
Experience mentoring senior engineers and raising the technical bar across organizations
Practical knowledge of agile software development methodologies and previous experience with CI/CD
Good communication skills to prevent risks and explain trade-offs clearly to both technical and non-technical stakeholders
Advanced English skills
Our Benefits
Health Insurance
Life Insurance
Pension Plan
Extended maternity and paternity leaves
Nucleo - Our learning platform of courses
NuLanguage - Our language learning program
NuCare - Our mental health and wellness assistance program
Vacations
Total compensation includes base salary, RSUs and benefits. Base salary range: $168,000 - $210,000
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.
To maintain a consistent and fair process for every candidate, Nu does not provide individualized technical feedback. See how our policy works here