Senior Systems Engineer - Computing

Nubank — Brazil · Posted ~1 day ago

Senior Full-time

Skills

Systems Engineering Computing Infrastructure Cloud Infrastructure Distributed Systems

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Summary ✨ AI‑Generated

Join a senior systems engineering team responsible for foundational computing infrastructure supporting a large-scale digital financial platform. You will work with critical infrastructure components and help maintain reliable, scalable systems that underpin a broad range of high-volume workloads.

Highlights

Senior infrastructure opportunity working on foundational computing systems supporting large-scale workloads. The role offers exposure to critical infrastructure, scalable technology, and complex systems within a highly innovative digital financial environment.

Description

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 About The Role As a Senior contributor 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. What You’ll Be Responsible For Contribute to our Computing product roadmap by identifying improvement opportunities within your team's scope, working closely with peers and Product Managers. Proactively identify and pursue opportunities to improve our infrastructure in areas like performance, costs, and governance, focusing on your team's systems.Act as a technical reference within the team, mentoring more junior engineers through code reviews, pair programming, and documentation to support a high-quality technical environment.Participate in technical forums and cross-functional discussions, documenting and communicating technical decisions clearly to stakeholders within your immediate team or project.Identify potential technical and product issues within your area of ownership, proposing design decisions to mitigate them.Analyze problems to uncover root causes and develop effective solutions for team-level challenges, with a focus on medium-term impact.Understand the technical aspects, capabilities, and limitations of the systems you own, contributing to discussions and incremental improvements. We Are Looking For a Person Who Has Must-have 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. Our Benefits Total compensation includes base salary, RSUs and benefits. Base salary range: $184.000 - $222.000Health InsuranceLife InsurancePension PlanExtended maternity and paternity leaves Nucleo - Our learning platform of coursesNuLanguage - Our language learning programNuCare - Our mental health and wellness assistance programVacations 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.