Software Engineering Team Lead

Why Brightpath Technologies Founded over 16 years ago, with more recent investments from Accel-KKR, Brightpath Technologies 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. Brightpath Technologies 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. Brightpath Technologies offers customers secure authentication and digital payments experiences that remove unnecessary friction. Brightpath Technologies 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 Brightpath Technologies ’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 candidates for this role will generally possess the following qualifications and skills: 5+ years of experience with general-purpose programming languages such as Java, Python, or Golang, with a strong grasp of object-oriented programming and design principles. Proven leadership experience with the ability to guide and mentor a technical team. Experience with cloud platforms, particularly AWS. Familiarity with key AWS services like Lambda, DynamoDB and S3, and experience deploying and managing applications in cloud environments. Knowledge of large-scale data processing technologies, such as Apache Kafka or AWS Kinesis, for handling real-time data streams and integrating them into scalable solutions. Experience with containerization and orchestration technologies, such as Docker and Kubernetes, for managing microservices-based architectures. Exposure to machine learning workflows and an understanding of how to integrate ML models into production systems. Strong understanding of software architecture, with experience building and scaling microservices for high-performance environments. Familiarity with security best practices, including knowledge of cryptography, public key infrastructure (PKI), and secure system design. Experience with automated testing, including unit, integration, and performance tests, to ensure software quality and stability. Agile experience: Familiarity with Scrum or Kanban methodologies, contributing effectively in cross-functional, agile teams. A bachelor’s degree in computer science, Engineering, or a related field is preferred, though relevant experience is highly valued. Personality Attributes Strong problem-solving skills and a passion for finding creative solutions. Eager to take on responsibility and capable of leading a team while encouraging collaboration and innovation. Excellent c