Engineering - Payments Performance

dLocal
Summary
Join dLocal, a global payments company, and become the Head of Engineering for Payments Performance. Lead and mentor multiple high-performing engineering teams, driving the development of scalable, real-time decision-making systems. Champion innovation and collaboration, developing and executing strategic technology roadmaps aligned with business objectives. Stay at the forefront of industry trends in data-intensive applications and fintech innovations, ensuring seamless integration of advanced analytics and machine learning solutions. Spearhead hiring strategies to attract top engineering talent and oversee the evolution of architecture for data-intensive systems. Advocate for best practices in coding, data governance, and system observability. This role requires strong leadership, technical expertise, and experience in fintech.
Requirements
- 5+ years of experience leading software engineering teams, with at least 3 years managing other leaders
- Experience working with Machine Learning and data services
- Experience managing large-scale engineering teams (40+ engineers and managers)
- Proven track record in fintech or related industries, developing high-volume transaction systems with stringent performance requirements
- Solid understanding of Data Engineering, including batch and streaming data processing
- Expertise in designing architectures for systems demanding high availability, low latency, and significant data throughput
- Passionate leader with excellent communication, strategic thinking, and collaboration skills
- Bachelor's or Master's degree in Computer Science or related technical fields
- Technical proficiency to align business needs with scalable, cost-efficient, and resilient technical solutions
- Experience recruiting, developing, and retaining high-performing talent
- Strong familiarity with cloud-based microservices, real-time analytics, and decision-making systems
- Ability to clearly communicate complex technical concepts to stakeholders across different areas
Responsibilities
- Leading, mentoring, and inspiring multiple high-performing engineering teams
- Driving the development of scalable, highly available, and low-latency systems that enable real-time decision-making and maximize conversion rate
- Championing a culture of innovation, collaboration, and technical excellence
- Developing and executing strategic technology roadmaps that align with business objectives, in close partnership with product leadership
- Staying at the forefront of industry trends, particularly in data-intensive applications with heavy usage of machine learning, and fintech innovations
- Ensuring the seamless integration of advanced analytics and machine learning solutions across various business areas
- Spearheading hiring strategies to attract top talent in engineering roles
- Overseeing the continuous evolution of architecture for data-intensive systems that process large volumes of data in both batch and streaming contexts
- Advocating for and implementing best practices in coding, data governance, quality assurance, and system observability
Benefits
- Remote work: work from anywhere or one of our offices around the globe!*
- Flexibility: we have flexible schedules and we are driven by performance
- Fintech industry: work in a dynamic and ever-evolving environment, with plenty to build and boost your creativity
- Referral bonus program: our internal talents are the best recruiters - refer someone ideal for a role and get rewarded
- Learning & development: get access to a Premium Coursera subscription
- Language classes: we provide free English, Spanish, or Portuguese classes
- Social budget: you'll get a monthly budget to chill out with your team (in person or remotely) and deepen your connections!
- DLocal Houses: want to rent a house to spend one week anywhere in the world coworking with your team? Weβve got your back!