QA Automation Team Lead for Data Streaming Platform

We are seeking a QA Automation Team Lead (Java) to drive the design, delivery, and continuous improvement of our real-time data streaming platform. This is a hands-on leadership role that blends technical depth, people management, and quality focus. You will lead a team working closely with engineering, data, and product colleagues to deliver scalable, low-latency pipelines that power mission-critical use cases – from real-time analytics to personalized user experiences. The team works with technologies such as Kafka Streams, Flink, and the JVM ecosystem (Java/Scala) to enable reliable and high-performance event-driven solutions.

What You’ll Be Driving:

• Building, guiding, and mentoring a high-performing engineering team, hiring, retaining, and developing top talent;
• Driving quality assurance and automation practices across the team, embedding testing and observability into every stage of delivery;
• Supporting and coordinating the planning and delivery of real-time streaming pipelines, focusing on high quality standards;
• Translating business requirements into robust solutions in partnership with product, data engineering, and analytics teams;
• Championing system performance, fault tolerance, and exactly-once semantics in streaming jobs;
• Defining project goals, enforcing agile methodologies, improving development processes, and tracking delivery against KPIs/OKRs;
• Evaluating and adopting new tools and technologies to strengthen the event-driven platform;
• Maintaining clear and comprehensive documentation of system architecture and technical designs.

What Makes You a GR8 Fit:

• 5+ years of experience in team leadership roles with a proven record of growing, motivating, and retaining talent;
• Strong proficiency in Java;
• Knowledge of and experience with Apache Kafka;
• Enforcing high standards for testing, CI/CD, and release quality, with a background in QA or automation engineering;
• Delivering complex projects on time, within scope, and aligned to business goals, with experience in project management or delivery coordination;
• Communicating technical concepts clearly to both engineers and business stakeholders;
• Fostering an inclusive, collaborative team culture with strong people orientation;
• Demonstrating strong problem-solving, risk assessment, and decision-making abilities;
• Applying familiarity with containerization, infrastructure-as-code, and CI/CD pipelines.
• Upper-Intermediate English level. 

Will be a plus:

• Experience with at least one stream processing framework (e.g., Flink, Kafka Streams, or equivalent);
• Understanding distributed systems, data consistency models, and stream processing semantics.