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.

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