Engineering Team Lead - Data Science Team

We offer the industry’s only platform that fuses customer identity and anti-fraud solutions – customer identity management, identity verification, and fraud prevention. We sell to industries with large, consumer-facing businesses such as: banking, financial services, insurance, fintech, gaming, ecommerce/retail, telco / media, utilities, etc. About the Role: Transmit Security is a top player in its game and is heading for an exciting year. In this role, you will take an integral part in the creation of a new and innovative SaaS product. If you are a talented software engineer and engineering manager that likes to solve complex problems and looking for your next challenge we want you to join our team! What you’ll do: As the Team Leader of a Detection and Response Engineering team at Transmit Security, you will lead a talented team to design, implement, and deploy scalable data solutions for an innovative SaaS product. You’ll be responsible for shaping the direction of a system that impacts millions of users worldwide. If you're an experienced manager with a strong technical background, ready to lead in a dynamic, fast-paced production environment, we want you on our team! The group responsible for 4-5 different products: 1. DRS (fully managed fraud detection solution) 2. Agentic Visibility 3. Citadel (ITP) - lean version of DRS capabilities 4. Transaction Monitoring offering 5. More might come soon Responsibilities: • Lead and guide one of the DRS Engineering teams in the design and deployment of scalable data infrastructure. • Collaborate effectively with cross-functional teams (Data Science, Research, Security, etc.) to ensure alignment on business needs and security standards. • Manage the technical backlog, make critical decisions on product milestones, and ensure timely, secure, high-quality delivery and deployment. • Foster the growth of team members through mentorship, personal development opportunities, and the promotion of continuous improvement. • Identify, manage, and mitigate security risks across the data platform, maintaining high standards in all initiatives. • Define and implement methodologies to guarantee the performance, scalability, and quality of our data infrastructure. What you’ll need: • 5+ years of software engineering experience, with at least 2 years in a leadership capacity. • Advantage: and cloud platforms (AWS, GCP, Azure). • Proficiency in programming languages such as NodeJS, Python, Java, Scala, or Go. • Familiarity with databases (Postgres SQL, Redis) and Kubernetes. • Demonstrated strong leadership abilities, including guiding teams, managing backlogs, and fostering effective cross-functional collaboration. • Proven experience in managing security risks and ensuring high-quality, scalable, and compliant systems. • Ability to maintain focus on key priorities and excel in a fast-paced, dynamic production environment. • For Data-Science - looking for an Engineering Team lead with a past knowledge / experience in data-science teams. Advantages: • Bachelor’s degree in Computer Science or a related field. • Extensive knowledge of distributed computing platforms (Flink, Spark, Beam) • Experience with microservice architecture, data management tools (Kafka, Airflow, MLOps), and CI/CD processes. • Background in identity management, risk assessment, or fraud detection. #LI-TL1 #LI-Hybrid