Software Engineering Team Lead
About the role
Why Entersekt
Founded over 16 years ago, with more recent investments from Accel-KKR, Entersekt is a leader in digital banking fraud prevention and payment security, including mobile authentication, mobile app security, and 3D Secure authentication for issuers, acquirers and payment networks. We offer highly scalable products with a track record of success across multiple continents.
Entersekt enables secure digital transactions for leading financial institutions globally. We exist to create a world where everyone can transact digitally without fear or compromise. Currently, we protect the digital transactions of over 210 million active users on our platform and hold 120 active patents that recognize innovation in digital security, payments, and user experience. Entersekt offers customers secure authentication and digital payments experiences that remove unnecessary friction. Entersekt has a diverse product portfolio and aggressive roadmap that positions the company well to sustain competitive advantage as it expands globally with emphasis on North America and European markets.
The Ideal Candidate
We are seeking a passionate Team Lead who thrives in designing and implementing high-performance systems. You'll lead our Signal Processing team, part of the Advice & Intelligence POD, working on cutting-edge technologies to process vast amounts of data and provide secure, real-time insights. If you are excited about cloud technologies like AWS, machine learning (ML), and large-scale data processing, and enjoy working in an agile environment while solving complex problems, you’ll be a great fit for this strategic role.
The Role
As a Team Lead, you will play a pivotal role in building and enhancing products developed by the Signal Processing team, which are crucial to Entersekt’s innovation pipeline. This team is responsible for processing signals and data at scale to improve the accuracy and efficiency of our authentication and fraud detection systems. You will oversee the development of secure, scalable microservices and influence technical direction, best practices, architecture, and design.
You’ll mentor software engineers, data scientists, and quality assurance engineers, while closely collaborating with cloud-based infrastructure and machine learning tools to build solutions that process and analyze data streams in real-time.
Responsibilities
- Lead the development, testing, and maintenance of robust, scalable microservices that process large volumes of data in real-time.
- Oversee the design, implementation, and optimization of machine learning pipelines integrated with AWS cloud infrastructure.
- Direct the design of new features, ensuring high-performance and secure implementations.
- Mentor and guide junior engineers, fostering their growth and preparing them for future responsibilities.
- Collaborate with cross-functional teams to define and implement innovative data-driven solutions.
- Work closely with DevOps to ensure smooth deployment and scaling of microservices in cloud environments (AWS).
- Drive architectural improvements for high-performance, fault-tolerant systems.
Skills and Experience
Successful candidate will have proven experience as a software engineering team lead, strong background in building and scaling microservices on AWS, and familiarity with machine learning pipelines and real-time data processing.