Engineering Team Lead - Data Science Team
<p>We offer the industry’s only platform that fuses customer identity and anti-fraud solutions – customer identity management, identity verification, and fraud prevention.&nbsp;</p> <p>We sell to industries with large, consumer-facing businesses such as: banking, financial services, insurance, fintech, gaming, ecommerce/retail, telco / media, utilities, etc.</p> <p>&nbsp;</p> <p><strong>About the Role:</strong></p> <p>Transmit Security is a top player in its game and is heading for an exciting year.<br>In this role, you will take an integral part in the creation of a new and innovative SaaS product.<br>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!</p> <p>&nbsp;</p> <p><strong>What you’ll do:</strong></p> <p>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!</p> <p>The group responsible for 4-5 different products:<br>1. DRS (fully managed fraud detection solution)<br>2. Agentic Visibility<br>3. Citadel (ITP) - lean version of DRS capabilities<br>4. Transaction Monitoring offering<br>5. More might come soon</p> <p><strong>Responsibilities:</strong></p> <ul> <li>&nbsp; &nbsp; Lead and guide one of the DRS Engineering teams in the design and deployment of scalable data infrastructure.</li> <li>&nbsp; &nbsp; Collaborate effectively with cross-functional teams (Data Science, Research, Security, etc.) to ensure alignment on business needs and security standards.</li> <li>&nbsp; &nbsp; Manage the technical backlog, make critical decisions on product milestones, and ensure timely, secure, high-quality delivery and deployment.</li> <li>&nbsp; &nbsp; Foster the growth of team members through mentorship, personal development opportunities, and the promotion of continuous improvement.</li> <li>&nbsp; &nbsp; Identify, manage, and mitigate security risks across the data platform, maintaining high standards in all initiatives.</li> <li>Define and implement methodologies to guarantee the performance, scalability, and quality of our data infrastructure.</li> </ul> <p>&nbsp;</p> <p><strong>What you’ll need:</strong></p> <ul> <li>5+ years of software engineering experience, with at least 2 years in a leadership capacity.</li> <li>Advantage: and cloud platforms (AWS, GCP, Azure).</li> <li>Proficiency in programming languages such as NodeJS, Python, Java, Scala, or Go.</li> <li>Familiarity with databases (Postgres SQL, Redis) and Kubernetes.</li> <li>Demonstrated strong leadership abilities, including guiding teams, managing backlogs, and fostering effective cross-functional collaboration.</li> <li>Proven experience in managing security risks and ensuring high-quality, scalable, and compliant systems.</li> <li>Ability to maintain focus on key priorities and excel in a fast-paced, dynamic production environment.</li> <li>For Data-Science - looking for an Engineering Team lead with a past knowledge / experience in data-science teams.</li> </ul> <h2><span style="font-size: 10pt;"><strong>Advantages:</strong></span></h2> <ul> <li>&nbsp; &nbsp; Bachelor’s degree in Computer Science or a related field.</li> <li>&nbsp; &nbsp; Extensive knowledge of distributed computing platforms (Flink, Spark, Beam)&nbsp;</li> <li>&nbsp; &nbsp; Experience with microservice architecture, data management tools (Kafka, Airflow, MLOps), and CI/CD processes.</li> <li>Background in identity management, risk assessment, or fraud detection.</li> </ul> <p>&nbsp;</p> <p>#LI-TL1 #LI-Hybrid&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p>
PAIGE